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How do you break down these 
vices in the sport of badminton 

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and that was quite a revelation.
It was just a one hour meeting. 

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I think that taught me more 
about Badminton than seven or 

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eight years of playing the game 
itself. 

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Right? 
Don't even I'm Leticia is not an

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accident. 
It's not going to deliver 

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returns in the first three weeks
is somebody because I didn't, 

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you know, they should work with 
who can offer that. 

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I really like, is a long term 
investment, right parallels, 

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between comedy and basketball, 
is fascinating. 

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And that way a lot of our 
analytics and analytical 

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thinking also, 
Hello and welcome to data 

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chatter the podcast, on all 
things data. 

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This podcast is a series of 
conversations with experts and 

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Industry leaders in data. 
And each week. 

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We aim to unpack a different 
compartment of the data 

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suitcase. 
I am your host. 

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Got the chassis that I'm a 
blogger. 

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You. 
Economist book author, and a 

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former data Etc consultant. 
I currently head analytics and 

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business intelligence for 
delivery. 

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One of India's largest 
logistics. 

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Companies. 
You can follow me on Twitter at 

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Karthik s that is Kar thi KS and
read my blog at no Intruder.com.

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That is n 0e. 
N th you be a.com or opinions 

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expressed in this podcast, 
belong to be and my podcast 

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Pious and it do not reflect the 
views of any organizations. 

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We might be Associated. 
Nothing discussing. 

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This podcast, will be taken as 
Financial or legal advice. 

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One of the first encounters that
a lot of normal people have with

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data, and analytics, was Michael
Lewis book, Moneyball, which was

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later made into a movie. 
Starring Brad Pitt. 

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Moneyball spoke about how the 
Oakland Athletics used, 

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analytics to punch above their 
weight. 

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And in the last 20 years 
analytics has taken out pretty 

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much every sport in football. 
We have new metrics such as 

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expected goals or XG in IPL 
teams. 

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Talk about the Moneyball 
strategy as they built their 

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squads every season and it's not
just the big games like football

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or if we get that, I've been 
taken over by analytics, even 

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the relatively smaller games, 
such as badminton volleyball, 

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and covered the, have a fair 
amount of analytics going into 

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It in today's episode, we have 
van Erp and I've been served us 

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founders of kabaddi at De. 
We will be talking about sports 

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analytics in general and sports 
analytics in India in 

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particular. 
How did it all? 

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Start, how did you guys get 
started in data and the in 

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sports analytics? 
So I think we'll start with that

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and then we can go on to other 
things. 

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So, see my previous startup was 
an e-commerce startup and I know

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as we were we were trying to 
build a B2B e-commerce. 

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And as you are building it, you 
know, we started meet. 

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We're trying to build a 
distributed where also we are 

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like seven miles across the 
country and we want to run it 

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with 60 70 people. 
So I know I restarted and Inez 

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been doing datebook and data for
ages, right? 

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Even before that after PhD. 
She's been that way. 

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So I reached out and asked her 
to help us solve the problem. 

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And you know, what time we kind 
of brought down our working 

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capital to just three days that 
was pretty exciting because it 

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wasn't easy to solve and we had 
a solution and then we were able

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to implement any kept going. 
And as I stepped out from the 

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e-commerce company, we both kind
of thought, you know, let's do 

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something together. 
So analytics was a Pint. 

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At that time, I think we were 
doing more of analytics for the 

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startups right here, fmc's Pace,
or Telecom space, and it just so

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happens that I play badminton 
and be a giver closely following

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sinus career. 
Yeah, and she lost silent even 

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scarier. 
And she lost three matches in a 

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row and in spite of being world.
Number one, at that time, right?

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So we were just wondering, I 
mean, candy helper some way. 

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To resolve. 
I mean, what is it that causing 

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her to lose these matches? 
Right? 

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And she lost all three games to 
this player called tyrosine was 

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a young upcoming player from. 
Not from China, from Chinese 

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typing. 
Okay, everyone basically, so, 

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yeah, your end. 
He ties up to used to beat Saina

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every single time when China was
right at the peak of a game. 

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And at that point there was this
This would have been in 2015. 

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Okay. 
Okay. 

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Yep. 
Interestingly sign. 

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I had moved to Bangalore. 
She was training with in the 

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prakash Padukone and Academy. 
So can we do to we welcome our 

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search who's India's first 
Olympian and badminton? 

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Yep. 
Is India's national clothes and 

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you know, she was also coaching 
sign up back then. 

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Right? 
So we went reached out to him 

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and said sir. 
We do all this work in 

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analytics. 
Is there a way we can help you 

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work with you to help Saina? 
And then it will maybe make it 

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more meaningful. 
Young day. 

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Those interactions with the 
muster and Professor were were 

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Priceless. 
They were. 

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I think, the reason I got into 
sports analytics is because the 

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introduction was exciting. 
Yeah, I mean, the clarity, 

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especially when it comes to 
prakash Padukone, right? 

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We talked about all this 
analytics, you collect a lot of 

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data. 
And then we met prakash after we

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had some insights about sign has
game. 

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Yep. 
You just took out a sheet of 

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paper and Drew the badminton 
court. 

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Oh, and he said, there are these
seven positions on the court. 

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Two in the front, one in the 
middle, two at the back and 

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basically a 3 in the middle 2 3,
2 2 3 2, right and basically a 

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player has to hit from each of 
these seven positions to all the

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other seven positions on the 
court in a is free manner, but 

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it just so happens that every 
player has a bias, right? 

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If shuttle goes to the front. 
I have a bias may be to hit it 

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to the backhand side of the 
opposite opponent, right? 

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Yep, and he said, badminton or 
analytics kind of comes from 

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this right now. 
Do you break down these biases 

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in the sport of badminton and 
that was quite a revelation. 

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It was just a one hour meeting. 
I think that taught me more 

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about Badminton than seven or 
eight years of playing the game 

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itself, right? 
And five months of politics 

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before that. 
Yep. 

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So how does so, how do you how 
do you Will collect data for 

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this because I imagine that, if 
you have to look at seven 

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positions of the code means 
that, first of all, you need to 

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actually watch the game or do 
you need to have somebody 

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watching the game? 
Most of most Indian badminton? 

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And I guess is not telecast. 
So, so how do you even Catholic?

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And I am a pretty confident that
at the time you guys started. 

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There was no badminton and 
analytics going on, at least in 

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India. 
I'm I'm getting. 

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So, so how do you get the 
collection as Always been, you 

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know, as we did and it is became
relation data collections, the 

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core problem to be solved. 
Yep, every sport including 

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Cricket for that matter. 
So we we have always invested 

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very early when we get into a 
sport to build the data 

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collection tool of our own or 
look at what are the data 

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collection tools out there and 
try and see if anything can be 

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repurposed. 
Right? 

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So the first thing we did is 
built a data collection tool in 

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today's language and quality, 
and he will thinking tool 

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broadly does a tool that would I
love so much and I love person 

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who understands the sport to 
collect one piece of data. 

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Yeah, and the tools that will 
give this is the most likely 

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return shot. 
So he connects lesser data on 

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every data collection Excel, but
it is a data collection, 

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exercise, a fairly intense and 
involved data collection 

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exercise, the power of the tool,
just minimize this error that 

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the agent has and data 
collection. 

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I would. 
Okay, so they actually had 

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people going and sitting I've 
certainly got almost an order in

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the lucky cases watching someone
TV and sort of tagging every 

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shot. 
It was it from police. 

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In a you proceed from position. 
Number one or two position 

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number seven on that side, and 
then they return came to 

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position. 
Number three. 

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And is that how you you guys 
actually did it? 

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So in as we are doing this 
initially for Saina Nehwal, it 

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was easier to get it off of 
YouTube. 

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Read all the key mindset of all 
the big games at Sinai spreading

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in size. 
We were online and all of our 

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big He's against upcoming 
opponent were all online. 

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Yep. 
So, we were able to get a lot of

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these matches on YouTuber, or in
different platforms. 

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And then, you know, viewer, then
collect the data. 

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Yep, and delicate quality was 
good because I know was 

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definitely India's best player. 
So, of course, we almost 

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anything it was. 
Well, I was well, documented and

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prose their online, right? 
Yes. 

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So it makes Turtles possible to 
do it. 

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So the so the investment was 
about watching it from YouTube 

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and like you said, you know, the
That election was a little more 

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detailed and that's one is the 
positions. 

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Yeah, the other thing that 
precursor and women served. 

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It has a kind of broke down. 
The sport to saying, when you 

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pick a shuttle there are, you 
know, you can obviously call it 

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a Continuum of places where you 
on the y-axis on the vertical 

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plane, when you can pick the 
shuttle, but he's a little, at 

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least, three big pieces. 
Is it above the head? 

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In this case? 
The player has reached the shot 

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Valentine. 
Yes, it between the shoulder and

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waist. 
In this case. 

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The player has just reached a 
And if a begin below the waist 

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it means of restored really 
late. 

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Yep. 
So it's a 3D model. 

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So here's the good thing was 
like the me a separate precursor

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and criminals are able to break 
it down into a way that 

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analytics. 
And they were able to understand

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and analytics, on continuous 
data sets is not reasonable. 

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Yes, if you into analyzable 
units. 

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They can they can advertise the 
value. 

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They brought was breaking the 
code into the seven important 

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places having the short in the 
three places because then you 

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still need to watch the video. 
But then what it allows is, it 

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allows them to look at a 
specific inside and then was all

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relevant videos for that 
Insight. 

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Yep, and that you get. 
This is really the error 

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happening, right? 
Yep. 

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Yep. 
This is our first kind of Entry 

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itself into performance 
analytics. 

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There was another data will be 
collected. 

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Today, which came purely out of 
what women had noticed. 

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He said that there is a thing 
going on between the Chinese 

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players that sinai's impatient. 
Okay. 

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So I always serving is the wait 
for a good, three, four five 

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seconds before they actually get
into position and they wait for 

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5 seconds before they serve. 
Okay, and that file s, it kind 

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of puts Ina and Restless place, 
right? 

203
00:11:06,100 --> 00:11:07,800
Because she's waiting for the 
shuttle to come. 

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It's still not come. 
Just breaking this thing. 

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So they used to do that. 
And then because he said that we

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started looking at them that 
date also and we realize sign, I

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was reading 4.8 seconds or of 
the order of one set in before 

208
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she serves, on the other hand, 
other players were happily 

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taking three to seven seconds 
while they sort of to her. 

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Yeah. 
There's no rules. 

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The difference is start when 
they serve to cyanide is 327 

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when they play anyone else. 
It is between 1 2 3. 

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00:11:37,600 --> 00:11:39,800
Okay. 
It is not in nature the They 

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always take time. 
Yeah, right. 

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00:11:41,500 --> 00:11:46,900
It was very conscious attempt on
part of opponents to unsettle 

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her game at all levels, right? 
And it took this observation for

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00:11:51,400 --> 00:11:53,800
us to even look for their data. 
It is not data. 

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00:11:53,800 --> 00:11:55,900
You will collect as an analyst 
ever happened. 

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So I think one of the things, I 
think a lot of a lot of people 

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in analytics, I think the 
mistake they make is like there 

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is they'll just they'll think 
that any data can be unless in a

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sort of a domain, 3 manner. 
I mean, we all have this, we all

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cover come with the sort of 
arrogance. 

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I have all the data, you don't 
need to tell me anything about 

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the business, but I think, 
unless I mean business in your 

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cases sport, but unless there is
some fundamental Insight or some

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sort of starting point that the 
hypothesis that you start off 

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with from the business. 
Think it's pretty much 

229
00:12:23,400 --> 00:12:25,700
impossible to tell if look for 
that. 

230
00:12:25,700 --> 00:12:28,700
I mean, if you might be lucky, 
sometimes the data might throw 

231
00:12:28,700 --> 00:12:31,900
up something neat, in terms of 
like need patterns and so on. 

232
00:12:31,900 --> 00:12:34,800
But in most cases, like, sort 
of, you need to look for the, 

233
00:12:35,400 --> 00:12:38,100
you need to wait for the, you 
need some insight from the 

234
00:12:38,100 --> 00:12:41,700
business, in which case you go. 
Got it here from from percussion

235
00:12:41,700 --> 00:12:47,200
rebuilding the, the initial sort
of the insights, which help you 

236
00:12:47,200 --> 00:12:51,900
break down the court into the 
into seven things. 

237
00:12:51,900 --> 00:12:53,900
It's one other thing that it 
reminds me. 

238
00:12:53,900 --> 00:12:57,000
So what, what what's interesting
is that, like the Chinese 

239
00:12:57,000 --> 00:12:59,700
players as you mentioned, like 
they were taking longer to serve

240
00:12:59,700 --> 00:13:02,500
to sign up at like, taking a 
shorter amount of time to serve 

241
00:13:02,500 --> 00:13:03,900
to each other. 
Right? 

242
00:13:03,900 --> 00:13:06,800
So what this reminds me of like 
this year in the IP and the 

243
00:13:06,800 --> 00:13:09,300
little bit of it that happen. 
I watched it all. 

244
00:13:09,400 --> 00:13:13,200
Exclusively on The Dugout 
channel in hot star and they're 

245
00:13:13,200 --> 00:13:16,500
like, pretty much every 2 3 
overs people were talking about 

246
00:13:16,500 --> 00:13:19,300
matchups. 
They were like Burak:. 

247
00:13:19,500 --> 00:13:22,300
I mean, it's sort of well, known
that we're actually is weak 

248
00:13:22,300 --> 00:13:25,400
against leg spin like that and 
then like and so people would 

249
00:13:25,400 --> 00:13:30,100
teams would bring in Alec 
spinner while playing CB or for 

250
00:13:30,100 --> 00:13:35,900
example, like, they would bring 
in like you though, going back. 

251
00:13:35,900 --> 00:13:37,900
A few years. 
People would play Left Hand 

252
00:13:37,900 --> 00:13:40,400
Spinners against people like 
such In scientific or Kevin 

253
00:13:40,400 --> 00:13:42,400
pietersen because they were 
known to be weak against that. 

254
00:13:42,400 --> 00:13:47,100
So, so I guess this matchup 
sting is not a cricket specific 

255
00:13:47,100 --> 00:13:47,400
thing. 
I guess. 

256
00:13:47,400 --> 00:13:49,600
It's Universal to All Sport and 
guessing. 

257
00:13:50,400 --> 00:13:53,000
Yeah, matchups is a universal 
thing. 

258
00:13:53,300 --> 00:13:57,900
But, you know, one of our 
observations in, in specifically

259
00:13:57,900 --> 00:14:01,800
in cricket, right? 
Is that there is an ebb and flow

260
00:14:01,800 --> 00:14:03,900
to a cricket game, right? 
And you know this well, we have 

261
00:14:03,900 --> 00:14:05,400
seen all the work you've done in
cricket. 

262
00:14:05,400 --> 00:14:09,300
Very exciting stuff and the 
append flows every game. 

263
00:14:09,600 --> 00:14:15,000
Is unique in itself. 
Yep, and and it is very rarely a

264
00:14:15,000 --> 00:14:16,400
standard answer that. 
Fix it. 

265
00:14:16,400 --> 00:14:19,700
All right, when you're playing 
against cska, you can definitely

266
00:14:19,700 --> 00:14:22,300
open the bowling with the left 
armor and Watson was batting. 

267
00:14:22,500 --> 00:14:24,400
Yep. 
With the Phantom, you if you 

268
00:14:24,400 --> 00:14:28,900
keep holding back a spinner for 
the barn and do need to come out

269
00:14:28,900 --> 00:14:30,900
to bat. 
You would have lost out so much 

270
00:14:30,900 --> 00:14:33,300
of the event from the match and 
maybe Watson and fast. 

271
00:14:33,300 --> 00:14:35,200
Have just gone at it. 
Yeah, right. 

272
00:14:36,200 --> 00:14:38,800
And and that, that is what makes
Cricket so exciting. 

273
00:14:38,800 --> 00:14:42,400
Because there is a function of 
not just matchups, but which 

274
00:14:42,700 --> 00:14:47,200
wind dryness humidity grip, 
right? 

275
00:14:47,600 --> 00:14:51,600
And all of those factors are 
really, you know, if you want to

276
00:14:51,600 --> 00:14:54,100
be honest about entities, you 
have to quantify it of that, a 

277
00:14:54,100 --> 00:14:56,900
military context of all of you 
have almost no data to make a 

278
00:14:56,900 --> 00:14:58,600
matchup meaningful. 
Exactly. 

279
00:14:58,600 --> 00:15:00,300
Yeah. 
The number of combinations. 

280
00:15:00,300 --> 00:15:02,800
Is this too much. 
It just was great. 

281
00:15:03,300 --> 00:15:05,600
And that's what Cricket is such 
a week. 

282
00:15:06,100 --> 00:15:08,800
Beginning and end. 
You also notice that the role of

283
00:15:08,800 --> 00:15:12,600
the captain and T20 is priceless
because these are decisions are 

284
00:15:12,600 --> 00:15:15,100
making after you see 10 balls of
the game. 

285
00:15:15,300 --> 00:15:19,200
Yep, and those, I think those 
decisions are it's a very 

286
00:15:19,200 --> 00:15:22,400
different Dynamic 
decision-making entity itself 

287
00:15:22,400 --> 00:15:25,300
right here. 
Versus for example, baseball, 

288
00:15:25,300 --> 00:15:27,200
which is often a common 
comparator. 

289
00:15:27,200 --> 00:15:29,500
The biggest issue. 
The baseball doesn't have a 

290
00:15:29,500 --> 00:15:33,000
pitch component, which takes 
away one, Big Driver of 

291
00:15:33,000 --> 00:15:35,200
differentiation that it's only 
the end wins that you need to 

292
00:15:35,200 --> 00:15:36,400
correct for. 
Yep. 

293
00:15:36,500 --> 00:15:37,600
Yep. 
Yep. 

294
00:15:37,600 --> 00:15:39,500
The picture actually doesn't 
pitch the ball. 

295
00:15:40,200 --> 00:15:41,600
So correct. 
Exactly. 

296
00:15:43,200 --> 00:15:47,800
And I did again, like the other 
thing I guess is that like, in 

297
00:15:47,800 --> 00:15:51,600
baseball and MLB has 162 games 
per team per season. 

298
00:15:54,100 --> 00:15:58,700
Using it with post. 
So it's like the amount of data 

299
00:15:58,700 --> 00:16:01,800
is simply not comparable. 
So a, you could have some noise,

300
00:16:01,800 --> 00:16:05,100
which can kind of make end up 
making, you think you have some 

301
00:16:05,100 --> 00:16:09,400
deep Insight on some player? 
And so on 100% 100%. 

302
00:16:09,400 --> 00:16:12,100
I think it is something that we 
need to often. 

303
00:16:12,100 --> 00:16:14,700
Correct for, right? 
So when we look at so we have a 

304
00:16:14,700 --> 00:16:16,600
metric is very similar to a lot 
of that. 

305
00:16:16,600 --> 00:16:19,500
You have to predict. 
What is a win like to you after 

306
00:16:19,500 --> 00:16:23,500
every ball, right? 
And what happens in that 

307
00:16:23,500 --> 00:16:26,000
particular ball is in assigned 
to the pattern of the Border 

308
00:16:26,000 --> 00:16:28,900
accordingly. 
Yeah, makes sense to use that 

309
00:16:28,900 --> 00:16:32,000
whole most cash for outrageous 
jumps. 

310
00:16:32,400 --> 00:16:35,800
So, for example, sometimes you 
take two wickets in an oval, 

311
00:16:36,000 --> 00:16:38,600
right? 
That's a my changing exercise in

312
00:16:38,600 --> 00:16:40,500
itself. 
You know, what is the border is 

313
00:16:40,500 --> 00:16:42,600
done that? 
Just once in his career, you 

314
00:16:42,600 --> 00:16:43,800
know, you have to give it that 
way. 

315
00:16:43,800 --> 00:16:46,000
They said you can assume that 
he's always a match winner. 

316
00:16:46,200 --> 00:16:47,300
Yeah, of course. 
Yeah. 

317
00:16:47,400 --> 00:16:49,500
Yeah. 
And and but what he would have 

318
00:16:49,500 --> 00:16:51,800
done put 10 because any do 
aggregated into look very 

319
00:16:51,900 --> 00:16:53,900
Exciting because he's had 14 
ticket Hall. 

320
00:16:54,300 --> 00:16:56,400
Yeah, and the season. 
Something looks like it looks 

321
00:16:56,400 --> 00:16:59,200
very different. 
But if you look at WP is 

322
00:16:59,200 --> 00:17:01,400
actually done it. 
In one game is added. 

323
00:17:01,400 --> 00:17:05,300
You fantastically given a win in
a game, but then, it has just 

324
00:17:05,300 --> 00:17:08,000
been a setup, you know, is not 
lost two games. 

325
00:17:08,300 --> 00:17:09,599
Yep. 
The drawing that difference in 

326
00:17:09,599 --> 00:17:13,800
data is very tricky because like
you said is 14 games and and The

327
00:17:13,800 --> 00:17:16,400
Fringe players get to play 34 
games, if they are lucky. 

328
00:17:17,599 --> 00:17:20,300
So Cricket has a challenge 
because depth of data is very 

329
00:17:20,300 --> 00:17:24,500
very limited compared to MLB. 
Oh, yeah, so I - Cricket itself 

330
00:17:24,500 --> 00:17:26,400
as a challenge with respect to 
MLB. 

331
00:17:26,400 --> 00:17:29,500
What's it like in like this is 
sports like badminton volleyball

332
00:17:30,200 --> 00:17:34,600
covered. 
Eh, it's a the same thing, you 

333
00:17:34,600 --> 00:17:36,500
know? 
Yesterday. 

334
00:17:36,500 --> 00:17:40,100
We were reading this article on 
the Olympic site where they were

335
00:17:40,100 --> 00:17:42,900
where sine squared, which 
Carolina's Martinez, given an 

336
00:17:42,900 --> 00:17:45,400
interview. 
She has been collecting data for

337
00:17:45,400 --> 00:17:51,500
15 years of all her matches. 
And now, Fifteen years. 

338
00:17:51,500 --> 00:17:56,100
How old is he? 
She's about 20 cheaply the lead 

339
00:17:56,100 --> 00:17:58,900
with his 2007. 
He won the gold in 2014. 

340
00:17:58,900 --> 00:18:01,400
So I guess she must convince not
that young as well. 

341
00:18:01,400 --> 00:18:04,900
So p60 they didn't do anything 
serious, 2016. 

342
00:18:04,900 --> 00:18:10,300
Yeah. 
Yeah, that's when we started 

343
00:18:10,300 --> 00:18:12,200
working with sign erect. 
It was in the run-up to that 

344
00:18:12,200 --> 00:18:18,100
obesity and and even doing this 
for 15 years, right? 

345
00:18:18,100 --> 00:18:21,600
And they have 15 years worth of 
data bank and update that. 

346
00:18:21,600 --> 00:18:24,400
She said she said my biggest 
Different issues that I have 

347
00:18:24,400 --> 00:18:27,500
these 15 years worth of data on 
my opponents and on myself. 

348
00:18:27,800 --> 00:18:32,000
Okay, and and honestly, that is 
the investment. 

349
00:18:32,000 --> 00:18:35,800
You need to make in a sport. 
If you want to really stand up a

350
00:18:35,808 --> 00:18:39,300
right Djokovic, did this in 
tennis a few years ago when we 

351
00:18:39,300 --> 00:18:41,100
were following ten is very 
closely. 

352
00:18:41,300 --> 00:18:44,900
Okay, he bought out the company 
that does 10 is analytic and 

353
00:18:44,900 --> 00:18:46,400
make them work with him 
exclusively. 

354
00:18:47,000 --> 00:18:48,500
Okay. 
Okay. 

355
00:18:48,500 --> 00:18:52,900
And to biginsights, right? 
One was he? 

356
00:18:53,100 --> 00:18:56,900
The job Djokovic was world 
number three for the longest 

357
00:18:56,900 --> 00:18:58,500
time, if you remember, right? 
Yes, he is. 

358
00:18:58,500 --> 00:19:02,200
And he's 49 percent of the 
shots. 

359
00:19:02,200 --> 00:19:04,600
He played. 
So it's not like he was, he was 

360
00:19:04,600 --> 00:19:08,100
doing exceptionally. 
Well, yep, and then, he moved 

361
00:19:08,100 --> 00:19:11,800
ordinary person up to 51. 
Yeah, and I'm from World. 

362
00:19:11,800 --> 00:19:14,000
Number 32 such an Undisputed 
world. 

363
00:19:14,000 --> 00:19:17,700
Number one. 
It is fascinating, right? 

364
00:19:18,400 --> 00:19:21,200
And then he will start, he 
basically needed to break down 

365
00:19:21,200 --> 00:19:23,000
the games of his two major 
opponents. 

366
00:19:23,200 --> 00:19:26,200
Nadal and Federer, you have to 
Tote The Note, right? 

367
00:19:26,200 --> 00:19:29,800
And yeah, of course. 
And he he always believed a 

368
00:19:29,800 --> 00:19:32,400
model of the breaking down 
Federer's game, right? 

369
00:19:32,600 --> 00:19:37,200
Where they resist, it is Stark. 
So he used to hit more than 50% 

370
00:19:37,200 --> 00:19:38,800
of the boys to Federer's 
backhand. 

371
00:19:39,200 --> 00:19:42,600
Okay, and he kept doing it even 
if he was in a bad position. 

372
00:19:42,800 --> 00:19:45,500
Even if Federer was expecting, 
but he still kept going and his 

373
00:19:45,500 --> 00:19:48,400
model of hitting at the back and
through the game because he said

374
00:19:48,600 --> 00:19:51,100
over a match. 
If I do that long enough. 

375
00:19:51,100 --> 00:19:54,000
I'm going to get enough errors, 
so He started playing the 

376
00:19:54,000 --> 00:19:57,800
percentage game there, although 
he moved is more aggressive. 

377
00:19:58,100 --> 00:20:03,500
I guess. 
But on the contrary there are 

378
00:20:03,500 --> 00:20:07,700
very few players who are able to
apply the insights from 

379
00:20:07,708 --> 00:20:11,700
analytics and transform their 
game, you know, if we look at 

380
00:20:11,700 --> 00:20:15,500
even the but by that time that 
would keep that is according to 

381
00:20:15,500 --> 00:20:17,000
us. 
The main reason that Nadal 

382
00:20:17,000 --> 00:20:20,700
Federer and Djokovic have 
dominated intense generation and

383
00:20:20,700 --> 00:20:22,100
a dominating the Next 
Generation. 

384
00:20:22,100 --> 00:20:26,100
Also, right, we're evolving 
their game, which is just, I 

385
00:20:26,100 --> 00:20:28,800
mean, it is not reasonable to 
win the number of B is a three 

386
00:20:28,800 --> 00:20:30,900
of them everyone here it is. 
Just not reasonable. 

387
00:20:31,000 --> 00:20:33,300
Yeah, especially when you're 
playing in the same generation 

388
00:20:33,300 --> 00:20:36,800
rate. 
Someone should be with you. 

389
00:20:36,800 --> 00:20:38,900
We also saw this. 
A lot is federal, right? 

390
00:20:38,900 --> 00:20:42,300
He had a terrible Year in 2012 
that he was tried in the peak of

391
00:20:42,300 --> 00:20:45,100
his game was winning titles and 
then he went through a year and 

392
00:20:45,100 --> 00:20:48,700
a half its own retail. 
Single finals, obviously capable

393
00:20:48,700 --> 00:20:50,500
in a dollar. 
Federal is not like he kept 

394
00:20:50,500 --> 00:20:53,100
losing the everyone understand. 
Why branca won three titles in 

395
00:20:53,100 --> 00:20:56,700
that period also, right? 
And then so Frederic came back 

396
00:20:57,000 --> 00:21:01,800
and Transformers game just to be
in a game of shorter rallies. 

397
00:21:02,200 --> 00:21:07,900
He started sacrificing points. 
To go for shorter rallies and he

398
00:21:07,900 --> 00:21:09,800
basically started cutting into 
the net. 

399
00:21:10,100 --> 00:21:12,700
So he realized that people are 
going people as an Italian joke,

400
00:21:12,700 --> 00:21:14,900
which are going at his backhand 
through an entire Minds. 

401
00:21:15,100 --> 00:21:17,600
Yeah. 
So he's only way to counter that

402
00:21:17,600 --> 00:21:20,700
is to either walk into the net 
or play even more aggressive. 

403
00:21:20,700 --> 00:21:22,500
In the first three, four shots 
in the denominator. 

404
00:21:22,500 --> 00:21:26,000
We have read that, he tuned 
screaming also to being that he 

405
00:21:26,000 --> 00:21:27,900
stopped doing any long rally 
trainings. 

406
00:21:28,100 --> 00:21:30,500
He only did for some trainings 
is really even care. 

407
00:21:30,900 --> 00:21:32,700
Obviously. 
He had the game to completely 

408
00:21:32,700 --> 00:21:35,000
change training schedule for 
this happen. 

409
00:21:35,400 --> 00:21:37,700
If the dings I'm leading with 
the pinch of the player being 

410
00:21:37,700 --> 00:21:40,300
able to execute, right? 
He always had the belief that he

411
00:21:40,300 --> 00:21:43,400
can pay the rest of the Murray. 
Just played for Scott rallies in

412
00:21:43,400 --> 00:21:45,100
all his practice. 
So, it changes practice 

413
00:21:45,100 --> 00:21:47,200
partners. 
He changed his approach to the 

414
00:21:47,200 --> 00:21:49,700
game. 
And now we're at 3940, if it 

415
00:21:49,700 --> 00:21:51,800
wasn't for the locker, I can 
email know the last two years 

416
00:21:51,800 --> 00:21:53,800
would have looked the semifinals
and finals. 

417
00:21:54,500 --> 00:21:57,300
Now, we lose a few even win a 
few, but it's just a percentage 

418
00:21:57,300 --> 00:22:00,000
is game way that he gets that 
obviously Djokovic is at this 

419
00:22:00,000 --> 00:22:03,000
point. 
Two years ago, pointed probably 

420
00:22:03,000 --> 00:22:05,000
the peak of his career and he's 
held up in for two. 

421
00:22:05,100 --> 00:22:08,100
Long, however, however, you 
slice and dice the data. 

422
00:22:08,100 --> 00:22:11,200
They are all standout players. 
The thing is what you thought of

423
00:22:11,200 --> 00:22:13,100
you were there. 
With this example of Critter is 

424
00:22:13,100 --> 00:22:15,200
that like analytics, in some 
sense is a bit of herb 

425
00:22:15,300 --> 00:22:18,400
competitive game, right? 
Like you figure out some 

426
00:22:18,400 --> 00:22:20,700
weakness in your opponent. 
And if you are playing each 

427
00:22:20,700 --> 00:22:23,900
other regularly, the opponent 
then figures out how to counter 

428
00:22:23,900 --> 00:22:26,300
what you found, assuming that 
they can, they can follow 

429
00:22:26,300 --> 00:22:27,900
through on the idea that they 
got and so on. 

430
00:22:28,300 --> 00:22:31,200
And then it's a sort of a back 
and forth from there in terms of

431
00:22:31,200 --> 00:22:37,200
like how to sort of how Oh my 
God, what do you say? 

432
00:22:37,900 --> 00:22:42,600
How to outsmart each other in 
and so on terok, nor spot on? 

433
00:22:42,600 --> 00:22:45,900
Because I see I would think 
about daytime's portrayed in a 

434
00:22:45,908 --> 00:22:49,200
few Dimensions where we are 
right now, only talking about 

435
00:22:49,200 --> 00:22:51,500
performance analytics till now 
the conversation, right? 

436
00:22:51,500 --> 00:22:53,500
Yes. 
Yes, performance analytics. 

437
00:22:53,500 --> 00:22:56,700
With this is probably the only 
thing where you are looking for 

438
00:22:56,700 --> 00:22:59,900
an inside yourself and often 
inside will take a couple of 

439
00:22:59,900 --> 00:23:02,200
years to combine, and then 
another couple of years to 

440
00:23:02,200 --> 00:23:03,900
really Implement. 
Yep. 

441
00:23:03,900 --> 00:23:06,200
And then why? 
By the time you implement in a 

442
00:23:06,200 --> 00:23:07,700
year of other people has to go 
to do. 

443
00:23:07,700 --> 00:23:09,700
They are all starting to come to
it. 

444
00:23:09,900 --> 00:23:11,800
Yep. 
So, you already have started 

445
00:23:11,800 --> 00:23:14,500
looking for her next inside you 
needed or started training for 

446
00:23:14,500 --> 00:23:17,500
an extension. 
So, that is where analytics kind

447
00:23:17,500 --> 00:23:21,000
of helps push the game forward 
when, you know, as you can 

448
00:23:21,000 --> 00:23:24,500
imagine has you as a low-hanging
fruit fruits, get discovered. 

449
00:23:24,500 --> 00:23:27,400
The next level of insight is 
much longer to discover a much 

450
00:23:27,400 --> 00:23:29,900
much longer to implement date. 
Yep. 

451
00:23:30,800 --> 00:23:33,800
Play people think of Spain in 
the World Cup right? 

452
00:23:33,800 --> 00:23:36,900
Where they played the style of 
short passes. 

453
00:23:37,300 --> 00:23:42,300
Yeah, once it worked, the way 
that it got adopt adapted very 

454
00:23:42,300 --> 00:23:47,000
quickly or countered, very 
quickly, was also interesting to

455
00:23:47,000 --> 00:23:49,000
watch, right? 
The style did work in the next 

456
00:23:49,000 --> 00:23:50,700
World Cup itself. 
Very next World Cup with 

457
00:23:50,700 --> 00:23:54,100
drop-down spectacularly in the 
defense of solder is too short 

458
00:23:54,100 --> 00:23:56,100
passing game. 
I mean, while Spain won those 

459
00:23:56,100 --> 00:24:00,100
three titles 2008-10 912, the 
two euros, and the World Cup. 

460
00:24:00,400 --> 00:24:02,900
And then like they have not been
a force on the worldsheet of it.

461
00:24:02,900 --> 00:24:06,200
But somebody like same Pep 
Guardiola with Manchester city 

462
00:24:06,200 --> 00:24:07,700
has now won three out of four 
titles. 

463
00:24:08,200 --> 00:24:11,500
So in the last four years by 
slightly adapting is here. 

464
00:24:11,500 --> 00:24:14,400
But again, I guess Club football
you play at a much higher 

465
00:24:14,400 --> 00:24:16,700
frequency than than its Russian 
Football. 

466
00:24:16,700 --> 00:24:19,800
So it's easier to sort of adapt 
in the, in club football. 

467
00:24:19,800 --> 00:24:21,000
I guess. 
Compared to International. 

468
00:24:23,300 --> 00:24:28,600
Seaman human trait of having lot
of data on football or say we 

469
00:24:28,600 --> 00:24:32,700
have a slightly different point 
of view analytics, right? 

470
00:24:32,800 --> 00:24:39,200
Okay, football is a very 
continuous game and and I almost

471
00:24:39,200 --> 00:24:43,000
believe that, you know, the 
largest value analytics can 

472
00:24:43,000 --> 00:24:45,500
bring into football, is 
selecting the right squad for 

473
00:24:45,500 --> 00:24:48,500
the opposition in front of you 
and selected the right Squadron 

474
00:24:48,500 --> 00:24:50,800
and postseason. 
You know, what? 

475
00:24:50,800 --> 00:24:54,800
Because in season In a match, if
you to break those who take 

476
00:24:54,800 --> 00:24:56,400
analytics right down to the 
match, right? 

477
00:24:56,400 --> 00:25:01,400
Given that this is it you have a
only value analytics release to 

478
00:25:01,400 --> 00:25:03,200
pre-plan for, who is our 
opponent. 

479
00:25:03,200 --> 00:25:05,200
What are they typically doing 
then? 

480
00:25:05,200 --> 00:25:08,500
What can you do to counter that?
After that? 

481
00:25:08,500 --> 00:25:10,900
What happens on the ground? 
That is how good is your 

482
00:25:10,900 --> 00:25:14,900
execution versus a plan? 
It also requires at least, 45 

483
00:25:14,900 --> 00:25:18,000
people to come together for any 
part of the plan to work. 

484
00:25:18,400 --> 00:25:21,000
Yep, right. 
So often deviation from plan 

485
00:25:21,000 --> 00:25:24,200
also is not a function one. 
Person and the analytics is 

486
00:25:24,800 --> 00:25:27,200
honestly the ability of 
analytics to take five moving 

487
00:25:27,200 --> 00:25:32,100
bodies and take a plan. 
Measure how these five movie 

488
00:25:32,100 --> 00:25:36,100
bodies are doing against the 
plan is impossible, especially 

489
00:25:36,100 --> 00:25:37,600
when you don't even know what 
the plan is. 

490
00:25:37,600 --> 00:25:40,200
It has an analyst unless you're 
a journalist sitting right in 

491
00:25:40,200 --> 00:25:44,100
setting, this was the plan and 
these are the big deviations 

492
00:25:44,100 --> 00:25:48,600
from the plan. 
So in football, I feel like all 

493
00:25:48,600 --> 00:25:52,300
of the thinking unexpected goal.
It's a lot of Statistics, but 

494
00:25:53,200 --> 00:25:56,200
Well, I believe that the impact 
of all of this on actual 

495
00:25:56,200 --> 00:25:58,700
performance is almost 
negligible, right? 

496
00:25:58,700 --> 00:26:02,900
Analytics is really a planning 
tool in football, but I do not 

497
00:26:02,900 --> 00:26:04,700
believe anything is a fairly 
controversial. 

498
00:26:04,700 --> 00:26:09,300
Belief, in today's world, where 
I think the the value of 

499
00:26:09,300 --> 00:26:12,300
analytics and football is really
to help help a coach with 

500
00:26:12,300 --> 00:26:16,200
planning or the manager planning
for an upcoming opposition and 

501
00:26:16,200 --> 00:26:18,600
the bigger package was really, 
how do you build a meaningful 

502
00:26:18,600 --> 00:26:22,600
score, which you, which can 
deliver two? 

503
00:26:22,700 --> 00:26:25,300
Ian's having input voltage, 
especially like I see all these 

504
00:26:25,300 --> 00:26:29,000
like sort of. 
I hate those these spider charts

505
00:26:29,000 --> 00:26:33,000
that keep getting proper put up.
I mean, recently be athletic as 

506
00:26:33,000 --> 00:26:36,100
recruited one. 
Analytics writer is their 

507
00:26:36,200 --> 00:26:39,800
football team and like this full
of fur spider chassis, like okay

508
00:26:39,800 --> 00:26:41,500
wind. 
I got injured would you replace 

509
00:26:41,500 --> 00:26:43,900
them with? 
Look at all the spider charge of

510
00:26:43,900 --> 00:26:47,000
all the other Defenders all over
Europe and say like, okay, maybe

511
00:26:47,000 --> 00:26:48,500
we could go with this guy that 
again. 

512
00:26:48,500 --> 00:26:53,400
So it's a bit of a sort of and 
XD itself is a bit of a In my 

513
00:26:53,400 --> 00:26:57,400
opinion itself reasonably use 
this metric because it just dip.

514
00:26:57,400 --> 00:26:59,700
It's just a function of where 
you shoot from. 

515
00:27:00,100 --> 00:27:01,400
It's a function of where you 
should try. 

516
00:27:01,400 --> 00:27:02,500
Mine. 
It doesn't. 

517
00:27:02,500 --> 00:27:04,700
You don't it doesn't matter 
whether you have an open goal, 

518
00:27:04,700 --> 00:27:07,100
whether there's a full wall in 
front of you, whatever it 

519
00:27:07,100 --> 00:27:09,400
doesn't matter. 
It's just a function of x and y 

520
00:27:09,400 --> 00:27:12,000
coordinate in front of the goal.
What's the likelihood? 

521
00:27:12,000 --> 00:27:15,100
You are going to shoot from. 
There is the herb, in my 

522
00:27:15,100 --> 00:27:16,600
opinion. 
It's a meaningless metric. 

523
00:27:17,400 --> 00:27:22,600
Yeah, you know, we we all agree,
we completely concur on on that.

524
00:27:22,600 --> 00:27:26,300
We think also is listen to be 
for us to work in football. 

525
00:27:26,300 --> 00:27:28,100
There. 
Only choices are Indian clubs. 

526
00:27:28,400 --> 00:27:32,000
Yeah, it's let's be there is not
at the Pinnacle of the sport, 

527
00:27:32,000 --> 00:27:34,000
right? 
Yep, and I guess it, what we've 

528
00:27:34,000 --> 00:27:38,000
observed in India. 
Also, is that working with with 

529
00:27:38,000 --> 00:27:41,400
franchisees and teams are not 
requires, a lot of buy-in at the

530
00:27:41,400 --> 00:27:45,200
other end of the bar. 
One of the content of what 

531
00:27:45,200 --> 00:27:48,300
you're sharing needs to at least
be Even water sharing, they need

532
00:27:48,300 --> 00:27:52,400
to invest their time to grow the
asset even angle. 

533
00:27:52,400 --> 00:27:55,200
It is not an acid that it's not 
going to deliver returns in the 

534
00:27:55,200 --> 00:27:57,200
first three weeks. 
If somebody believes that then, 

535
00:27:57,200 --> 00:27:59,700
you know, they should work with 
who can offer that. 

536
00:28:00,100 --> 00:28:01,500
I believe. 
I need is a long-term 

537
00:28:01,500 --> 00:28:04,400
investment, right? 
You have to go to the process. 

538
00:28:04,400 --> 00:28:08,600
Has to kind of be done and the 
outcome will slowly start 

539
00:28:08,600 --> 00:28:11,900
falling in place. 
Especially in something like 

540
00:28:11,900 --> 00:28:16,200
sport because you need to, also 
your whole system needs to align

541
00:28:16,200 --> 00:28:18,900
to work with the data you're 
getting, or with the principles 

542
00:28:18,900 --> 00:28:21,600
of using data in decision. 
Making right. 

543
00:28:22,000 --> 00:28:25,300
The esight probably has to come 
from the other side, right? 

544
00:28:25,300 --> 00:28:27,800
From the management, from the 
coach. 

545
00:28:28,000 --> 00:28:31,600
You just give the tools and when
the internalized it, that's when

546
00:28:31,700 --> 00:28:34,900
there is some connection to 
implementation, finally, on the 

547
00:28:34,900 --> 00:28:36,100
field. 
Yeah. 

548
00:28:36,100 --> 00:28:40,300
I need the think loaded Sports, 
Sportsmen and sportswomen. 

549
00:28:41,100 --> 00:28:47,200
Experts in their field in their 
own right and to expect them to 

550
00:28:47,200 --> 00:28:51,500
kind of apply analytics which is
not their core competency. 

551
00:28:51,500 --> 00:28:54,200
Right. 
Is some unfair to do. 

552
00:28:54,600 --> 00:28:58,500
Yeah, I guess I'd also like a I 
guess in some sense some sense, 

553
00:28:58,500 --> 00:29:01,600
a lot of people the stuff that 
they do is like this is do 

554
00:29:01,600 --> 00:29:04,700
things because it's sexy because
it's like sort of it's a cool 

555
00:29:04,700 --> 00:29:08,600
girl cool thing. 
Okay Liverpool got a PhD in 

556
00:29:08,600 --> 00:29:11,700
physics to head their Analytics.
See so Manchester United with 

557
00:29:11,700 --> 00:29:14,600
also higher, if PhD in physics 
to hit their analytical, 

558
00:29:14,600 --> 00:29:16,600
something like that. 
I would think what analytics 

559
00:29:16,600 --> 00:29:19,800
right is for the gentlemen take 
for big Dimensions, right? 

560
00:29:19,800 --> 00:29:22,900
There. 
Is that what we have open till 

561
00:29:22,900 --> 00:29:24,600
now is really performance 
analytics. 

562
00:29:24,800 --> 00:29:28,400
There's a lot of Indonesian 
Squad selection when there's a 

563
00:29:28,408 --> 00:29:30,800
lot of the count, there's a lot 
of analytics, which is relevant 

564
00:29:30,800 --> 00:29:33,200
for fan engagement, right? 
Yep. 

565
00:29:33,900 --> 00:29:36,800
There is this whole layer which 
is what you and we have done for

566
00:29:36,800 --> 00:29:38,900
a living, which is an analytics 
for the, for running the 

567
00:29:38,900 --> 00:29:41,600
business. 
Yep, and I've been running the 

568
00:29:41,608 --> 00:29:43,600
sports business. 
Also, you need to look at a 

569
00:29:43,608 --> 00:29:45,600
time. 
It is not just a single fit. 

570
00:29:45,600 --> 00:29:48,600
All right, and and often any 
talk of sports analytics, right?

571
00:29:48,600 --> 00:29:51,500
Everyone focuses very, very 
quickly on performance analytics

572
00:29:52,300 --> 00:29:56,400
and why I believe the account of
what we vote was saying that 

573
00:29:56,400 --> 00:29:58,800
outcome and performance 
analytics is dependent on so 

574
00:29:58,800 --> 00:30:00,900
many factors. 
Beyond just the analysts 

575
00:30:00,900 --> 00:30:02,100
ability. 
Yep. 

576
00:30:02,200 --> 00:30:05,300
It is dependent on the ability 
of the athlete to execute 

577
00:30:05,400 --> 00:30:08,000
command. 
It is the ability of the athlete

578
00:30:08,000 --> 00:30:11,600
coach and the analyst to come up
with an Eatable plan that means 

579
00:30:11,600 --> 00:30:14,800
analysts needs to not just do. 
The analytic were also converted

580
00:30:14,800 --> 00:30:18,600
into into language that the 
coach and athlete can buy into. 

581
00:30:20,000 --> 00:30:22,800
And to be honest you and we 
should know this, right? 

582
00:30:22,900 --> 00:30:26,900
Converting an observer and 
insight into and into something 

583
00:30:26,900 --> 00:30:30,900
that the athlete or the course 
can execute is not an easy 

584
00:30:30,900 --> 00:30:32,400
switch. 
Absolutely. 

585
00:30:32,600 --> 00:30:35,700
Absolutely, especially in 
sports. 

586
00:30:35,700 --> 00:30:39,000
I guess the coaches usually not 
somebody who is like, even in 

587
00:30:39,000 --> 00:30:41,700
general very well versed with 
Data and things like that. 

588
00:30:42,600 --> 00:30:44,700
Exactly. 
So they have to, they have to 

589
00:30:44,700 --> 00:30:46,600
understand the process, right? 
Yep. 

590
00:30:47,400 --> 00:30:50,400
Take for us working with 
Chennai, Super Kings has really 

591
00:30:50,400 --> 00:30:53,500
been exciting because, you know,
the management and the coaching 

592
00:30:53,500 --> 00:30:56,100
staff have made the effort to 
understand what we are doing. 

593
00:30:56,500 --> 00:30:58,500
Yep. 
They don't just the understand 

594
00:30:58,500 --> 00:31:00,700
what we are able to and what we 
are not able to. 

595
00:31:01,300 --> 00:31:03,100
So sometimes there's no 
expectations of. 

596
00:31:03,100 --> 00:31:05,400
Obviously, we are doing a lot of
predictor work with them. 

597
00:31:06,100 --> 00:31:08,700
And, you know, when you have a 
predictive, when you do 

598
00:31:08,700 --> 00:31:11,900
predictive of you, say there's a
Like business 35 percent 

599
00:31:11,900 --> 00:31:15,200
likelihood that this will happen
and then they come back and 

600
00:31:15,200 --> 00:31:16,600
Signal, will it happen or not 
happen? 

601
00:31:16,600 --> 00:31:18,900
And I googled, you know, there's
a 35% chance. 

602
00:31:18,900 --> 00:31:20,200
It will happen. 
Yeah. 

603
00:31:20,600 --> 00:31:23,700
Yeah, and then how we measure 
success of predictions, right? 

604
00:31:24,800 --> 00:31:26,600
Thank you. 
The league at least has 14 

605
00:31:26,600 --> 00:31:29,600
games. 
So we can say, we predicted when

606
00:31:29,600 --> 00:31:33,900
likelihood for a team to be 57 
percent over 14 games and, you 

607
00:31:33,908 --> 00:31:37,200
know, over 14 games. 
Are we, are we on track that 

608
00:31:37,200 --> 00:31:39,000
attics times? 
We have been working with 

609
00:31:39,000 --> 00:31:41,200
Chennai, Super Kings 44, Yours 
now, right? 

610
00:31:41,200 --> 00:31:46,000
And and obviously it is a it is 
an investment on both sides to 

611
00:31:46,200 --> 00:31:48,900
to understand the other side and
honesty, try and deliver value 

612
00:31:48,900 --> 00:31:51,000
in that period to each other, 
right? 

613
00:31:51,100 --> 00:31:54,700
Yeah. 
Do you think it's a very 

614
00:31:54,700 --> 00:31:57,800
continuous continuous process 
that needs to keep happening? 

615
00:31:58,500 --> 00:32:02,400
Yep. 
Okay, let's sub slightly change 

616
00:32:02,400 --> 00:32:03,600
tack again. 
I mean, I have a brother. 

617
00:32:03,600 --> 00:32:06,000
So we, I think I was very 
excited by how you broke down 

618
00:32:06,000 --> 00:32:11,000
the badminton court into your 7 
into 3, grid and so on. 

619
00:32:11,200 --> 00:32:14,500
So, how do you buy? 
I'm assuming you guys have done 

620
00:32:14,500 --> 00:32:17,900
similar work in, like cupboard 
be volleyball Etc as well. 

621
00:32:17,900 --> 00:32:21,800
Because, like there again, I'm 
guessing there is a sort of a, I

622
00:32:21,800 --> 00:32:23,600
mean, if you think about 
something like football, which I

623
00:32:23,608 --> 00:32:26,700
watch a lot of it's like, 
usually you talk about 4, 3 3 4 

624
00:32:26,700 --> 00:32:29,600
2, 3 1, and so on which is the 
main we will. 

625
00:32:29,800 --> 00:32:32,300
Formations in zone. 
So I'm pretty sure there's 

626
00:32:32,300 --> 00:32:35,400
something similar that is there,
which I have not watched too 

627
00:32:35,400 --> 00:32:38,300
much of it, but in sports, like,
company, volleyball Exeter. 

628
00:32:38,300 --> 00:32:40,500
So, how do you kind of how do 
you go about analyzing a new 

629
00:32:40,500 --> 00:32:42,500
game? 
New sport that you sort of get 

630
00:32:42,500 --> 00:32:46,700
into and Etc? 
See, couple D. 

631
00:32:46,700 --> 00:32:48,800
Obviously, we are is very close 
to us. 

632
00:32:48,800 --> 00:32:50,300
Right? 
We have, we have not lie. 

633
00:32:50,300 --> 00:32:51,800
We started doing comedy 
analytics. 

634
00:32:51,800 --> 00:32:53,700
We have now built a couple D 
business itself. 

635
00:32:54,000 --> 00:32:56,900
You've commandeered L is aiming 
to kind of bring all the 

636
00:32:56,900 --> 00:33:00,200
information of cricket of all 
the information of covered being

637
00:33:00,200 --> 00:33:03,000
together, you know, we're trying
to connect the comedy fan to the

638
00:33:03,000 --> 00:33:04,300
play. 
Are we doing a lot of that? 

639
00:33:04,300 --> 00:33:08,100
So obviously analytics for the 
fan is very is integral to the 

640
00:33:08,100 --> 00:33:10,200
cupboard, get the story right? 
Yep. 

641
00:33:10,200 --> 00:33:13,500
Help me the cookie fan, just 
look at the sport, like the 

642
00:33:13,500 --> 00:33:15,300
cricket fan looks at sport. 
Right? 

643
00:33:16,900 --> 00:33:19,100
And that is that, that something
dear to us. 

644
00:33:19,100 --> 00:33:23,100
But, you know, coming to Cabo 
Verde, we haven't recovered. 

645
00:33:23,100 --> 00:33:25,600
T is really nice. 
Isn't all said, and done, right.

646
00:33:25,700 --> 00:33:29,200
All credit to the league with 
brought the sport to the 

647
00:33:29,200 --> 00:33:31,200
Forefront. 
That's when analytics even came 

648
00:33:31,200 --> 00:33:34,400
close to the sport. 
We have actually this season on 

649
00:33:34,400 --> 00:33:37,200
season here on here as a sport, 
is the world. 

650
00:33:37,900 --> 00:33:40,400
The way the sport is being 
played itself is getting very 

651
00:33:40,400 --> 00:33:43,100
different. 
So at this point analytics that 

652
00:33:43,100 --> 00:33:46,500
I did two years ago is almost 
completely redundant today. 

653
00:33:46,600 --> 00:33:48,400
In the way. 
We started the way we break the 

654
00:33:48,400 --> 00:33:52,000
players away. 
We analyze players we Rank and 

655
00:33:52,500 --> 00:33:55,600
build a squads all very 
different now, because when we 

656
00:33:55,600 --> 00:33:59,100
started when cavity probably 
started the something we started

657
00:33:59,100 --> 00:34:01,800
observing. 
Professionally, what the 

658
00:34:01,900 --> 00:34:05,600
prevalence of all around us was 
quite significant ready. 

659
00:34:05,600 --> 00:34:08,699
For example, can you break it 
down for our listeners, many of 

660
00:34:08,699 --> 00:34:11,900
whom I have played comedy, when 
I was a kid, but I think many of

661
00:34:11,900 --> 00:34:13,600
our listeners may not have 
played it. 

662
00:34:13,600 --> 00:34:15,500
So, can you just break this down
into the? 

663
00:34:15,500 --> 00:34:18,400
You just make some noise on the 
sport? 

664
00:34:18,400 --> 00:34:19,900
Yeah, maybe that will help. 
Yeah. 

665
00:34:19,900 --> 00:34:23,300
It's a maybe 30 seconds. 
One team will be ready. 

666
00:34:23,300 --> 00:34:25,400
The other team will defend. 
Yep. 

667
00:34:25,400 --> 00:34:28,900
There's always one Raider who's 
reading against a defense which 

668
00:34:28,900 --> 00:34:33,000
starts with People every time 
but he loses a point, a player 

669
00:34:33,000 --> 00:34:36,100
leaves the coat. 
Yes, so if you think about it, 

670
00:34:36,300 --> 00:34:38,000
so you're not really getting a 
point. 

671
00:34:38,000 --> 00:34:40,699
You're also losing the opponent,
also losing a player. 

672
00:34:40,699 --> 00:34:43,000
So you would think that the 
reading the team that is gaining

673
00:34:43,000 --> 00:34:44,500
points. 
Gains in power very, very 

674
00:34:44,500 --> 00:34:46,699
quickly. 
Yes, but what really happens in 

675
00:34:46,699 --> 00:34:49,600
Cabo Verde is when your, when 
your defenses down to four and 

676
00:34:49,600 --> 00:34:52,300
five people, it's almost 
impossible for the data to get 

677
00:34:52,300 --> 00:34:55,800
points. 
It is really tough tough 

678
00:34:55,800 --> 00:34:57,900
balance. 
So in some sense, when you lose 

679
00:34:57,900 --> 00:35:00,300
those first two point, you're 
actually make your Defense much 

680
00:35:00,300 --> 00:35:03,000
better. 
Okay, so that man's then, pulls 

681
00:35:03,000 --> 00:35:06,300
it back in favor of the team. 
That is down a couple of points.

682
00:35:06,600 --> 00:35:09,000
And then we go down to three 
players If you defend you get 

683
00:35:09,000 --> 00:35:11,100
two points instead of the 
typical one point. 

684
00:35:11,200 --> 00:35:14,200
Very, very Priceless. 
Is that a PK lonely or is that 

685
00:35:14,800 --> 00:35:19,400
in all be about, 220 root even 
defenses down with three people,

686
00:35:19,700 --> 00:35:22,300
you get two points. 
If you get a defending point, 

687
00:35:22,500 --> 00:35:27,100
you have to make it a one-point.
Yeah, and I guess when you get a

688
00:35:27,100 --> 00:35:29,200
point, you can also bring back 
one player onto the field, 

689
00:35:29,200 --> 00:35:31,600
right? 
But you bring backup clear. 

690
00:35:31,600 --> 00:35:34,100
Not equal to point players. 
Equal to number of players going

691
00:35:34,100 --> 00:35:35,300
on that. 
Many players come in. 

692
00:35:35,400 --> 00:35:36,100
Yep. 
Yep. 

693
00:35:36,100 --> 00:35:37,700
Yep. 
So in defending the three people

694
00:35:37,700 --> 00:35:39,900
you get two points, but one pair
comes back in. 

695
00:35:40,200 --> 00:35:42,700
So you both to for third offense
again dangerous. 

696
00:35:42,800 --> 00:35:44,900
He walked 25 your defense again.
Dangerous. 

697
00:35:45,200 --> 00:35:49,100
Yeah, right. 
And so through this transition 

698
00:35:49,100 --> 00:35:53,700
from disorder since they were 
players who could you know, as a

699
00:35:53,700 --> 00:35:56,400
league started never players who
could defend and Ray? 

700
00:35:56,700 --> 00:35:59,600
Yeah Ray Dozer, just barely ever
even had multi-skilled. 

701
00:35:59,700 --> 00:36:04,000
Eels, and when the sport is 
being played on mud, you know, 

702
00:36:04,000 --> 00:36:06,400
the defense is much better than 
reading grade has really 

703
00:36:06,400 --> 00:36:08,600
struggled in the game 
environment because it's slow. 

704
00:36:08,900 --> 00:36:10,700
Yeah. 
So the trader speed is slower. 

705
00:36:11,000 --> 00:36:14,000
Whereas in the game is move to 
Madison become much faster. 

706
00:36:14,200 --> 00:36:18,500
So Defenders struggle, much more
open areas are a lot of readers 

707
00:36:18,500 --> 00:36:21,400
are able to get points, 
especially if you have in mind, 

708
00:36:21,500 --> 00:36:23,600
and then you play on Mac to 
become much faster. 

709
00:36:23,800 --> 00:36:25,000
And the other way doesn't work. 
Right? 

710
00:36:25,000 --> 00:36:27,800
If you've always played in math 
and going to Mud becomes not 

711
00:36:27,800 --> 00:36:30,500
easy for the for a reader. 
But Defenders, of course it 

712
00:36:30,500 --> 00:36:33,700
makes sense. 
And now what we are using is a 

713
00:36:33,700 --> 00:36:38,700
sport is about to becoming one 
of our Specialists also because 

714
00:36:39,000 --> 00:36:41,900
there are more matches 
happening, you know, it's very 

715
00:36:41,900 --> 00:36:45,000
tough for the body to record if 
you're doing too many things you

716
00:36:45,000 --> 00:36:47,800
need the time. 
So there is kind of two ways of 

717
00:36:47,800 --> 00:36:50,400
playing, you know, when there 
are small tournaments, the 34d 

718
00:36:50,400 --> 00:36:55,100
tournament you would see both 
Specialists and all around us 

719
00:36:55,100 --> 00:36:59,600
being relevant and when you, 
when you see the law, Longer 

720
00:36:59,600 --> 00:37:02,400
format tournaments, whether a 
lot of matches happening over to

721
00:37:02,400 --> 00:37:08,000
3 months, then people start 
saying, you know, start noticing

722
00:37:08,000 --> 00:37:11,000
special to someone important. 
I play one role in the in that 

723
00:37:11,000 --> 00:37:13,400
team. 
Yeah, and you would even look, 

724
00:37:13,900 --> 00:37:17,400
which would we have noticed the 
parallels between poverty and 

725
00:37:17,600 --> 00:37:21,600
basketball is fascinating. 
Okay, and that would be the Lord

726
00:37:21,600 --> 00:37:25,400
of our analytics and analytical 
thinking also and storytelling. 

727
00:37:25,400 --> 00:37:27,200
And so please, oh, please. 
Oh, please tell us about that. 

728
00:37:27,200 --> 00:37:30,800
Because I think this is a very 
Fascinating analogy. 

729
00:37:30,800 --> 00:37:34,600
I mean apart from you have like 
in one you have five players in 

730
00:37:34,600 --> 00:37:36,100
one you have between three and 
seven players. 

731
00:37:36,100 --> 00:37:39,300
So apart from that click were 
the how are they similar? 

732
00:37:40,600 --> 00:37:42,900
So, I mean you can think of 
basketball. 

733
00:37:42,900 --> 00:37:46,300
Also, as a Quantum sport, right?
Just like a birdie cover T. 

734
00:37:46,400 --> 00:37:49,900
Every 30 seconds, some event 
happens when a radio goes to the

735
00:37:49,900 --> 00:37:52,600
position. 
Same thing happens in basketball

736
00:37:53,600 --> 00:37:57,100
team because actually, we have 
30 seconds to actually shoot 

737
00:37:57,100 --> 00:38:01,900
their basket and learning and 
another Parable, when it 

738
00:38:01,900 --> 00:38:05,400
especially comes from, what is 
it? 

739
00:38:06,100 --> 00:38:09,400
This strong link weak link. 
Sort of analysis, right? 

740
00:38:09,400 --> 00:38:12,000
Yep. 
So basic In basketball, your 

741
00:38:12,000 --> 00:38:16,400
best shooter can take 
practically every shot that your

742
00:38:16,400 --> 00:38:19,500
team takes into the basket. 
Right? 

743
00:38:19,500 --> 00:38:22,400
So we're obviously improving 
your probability of winning. 

744
00:38:22,900 --> 00:38:26,500
Where is similarly? 
Similarly, poverty, your reader 

745
00:38:26,500 --> 00:38:29,500
can go for alterations. 
Your team has to go for. 

746
00:38:29,500 --> 00:38:32,600
So, thank you. 
When you getting a team, you get

747
00:38:32,600 --> 00:38:35,500
one Superstar readers, a smart 
thing to do because he can 

748
00:38:35,500 --> 00:38:39,100
actually go for 40 of out of the
45 raids. 

749
00:38:39,100 --> 00:38:44,600
If he has the Well, make sense. 
On the other hand. 

750
00:38:44,600 --> 00:38:47,800
It's more like football, right? 
It's a clean sport. 

751
00:38:48,000 --> 00:38:51,200
Do you want one the weakness in 
your defense? 

752
00:38:51,200 --> 00:38:54,400
Because that guy is going to get
caught more often than not very 

753
00:38:54,400 --> 00:38:57,100
similar to basketball. 
Great defense needs to work 

754
00:38:57,100 --> 00:38:59,600
together. 
When you can keep hitting the 

755
00:38:59,600 --> 00:39:02,500
ball to your 1, Min shooter. 
If you have the ability, 

756
00:39:02,500 --> 00:39:05,200
obviously in the NBA at the 
highest level is now become 

757
00:39:05,200 --> 00:39:08,700
different. 
That is one big battle is with 

758
00:39:08,700 --> 00:39:12,100
the evolution of spirit. 
Quality in be involved. 

759
00:39:12,200 --> 00:39:15,700
It was considered a black sport 
as if its early days of a 

760
00:39:15,700 --> 00:39:18,800
solution, right? 
It's still dominated by a lot of

761
00:39:19,200 --> 00:39:22,500
athletes of color. 
For, what is really exciting is 

762
00:39:22,508 --> 00:39:24,800
that, you know, it keep it in 
its Evolution. 

763
00:39:24,800 --> 00:39:27,600
It really came. 
It was a sport played by, not 

764
00:39:27,600 --> 00:39:30,900
the rich by the not rich State 
segment of society. 

765
00:39:31,100 --> 00:39:34,000
Yes, but the best players of the
sport version of the home 

766
00:39:34,000 --> 00:39:38,400
country of this port, right? 
Yep, all you can probably create

767
00:39:38,400 --> 00:39:41,300
10 basketball teams, 10 USB. 
Basketball team, which will win 

768
00:39:41,300 --> 00:39:44,300
the Olympics. 
Yes, you mix up your similar to 

769
00:39:44,500 --> 00:39:46,300
a birdie, right? 
You can create 10 teams. 

770
00:39:46,300 --> 00:39:48,500
Although India lost the Asian 
Games, gold this time. 

771
00:39:48,800 --> 00:39:51,100
You can have 10 teams from 
India, which will be in the top 

772
00:39:51,100 --> 00:39:54,700
ten or twelve teams. 
Yeah, with an Iran, in The 

773
00:39:54,700 --> 00:39:57,300
Courier coming in baby. 
And which again credit to the 

774
00:39:57,300 --> 00:40:00,700
last two years of development 
that has happened, even in these

775
00:40:00,700 --> 00:40:06,600
countries that is parallel in 
how the sport Ebbs and flows, 

776
00:40:06,600 --> 00:40:09,200
right? 
Is something you can see, 

777
00:40:10,400 --> 00:40:12,000
Manifest itself in analytics, 
all back. 

778
00:40:12,000 --> 00:40:14,600
She said the strongly how the 
Raiders, what the reader, that 

779
00:40:14,600 --> 00:40:18,600
contributes to your team. 
There is often very, very it's 

780
00:40:18,600 --> 00:40:21,200
very tough to quantify because 
there are there are two impacts 

781
00:40:21,400 --> 00:40:24,600
supposed a reader who gets a 
gets one point every rate, 

782
00:40:25,100 --> 00:40:27,100
right? 
Yes, you're not taking out the 

783
00:40:27,100 --> 00:40:30,300
player and that player goes, 
make your and then you bring the

784
00:40:30,300 --> 00:40:32,300
opposition down to five players.
At that point. 

785
00:40:32,300 --> 00:40:36,200
You're not really able to get 
ready and then the opposition 

786
00:40:36,200 --> 00:40:38,600
sends a Raider, he gets out. 
So they get back to 16 to take 

787
00:40:38,600 --> 00:40:40,200
another pointing. 
You haven't read. 

788
00:40:40,300 --> 00:40:45,200
Better take single poems is very
different in value delivery to a

789
00:40:45,200 --> 00:40:47,000
player who can take a 
multi-country. 

790
00:40:47,300 --> 00:40:50,900
Here's a multi-point, a movie of
would opposition of 624 very 

791
00:40:50,900 --> 00:40:53,600
quickly. 
And I know that in price, he 

792
00:40:53,600 --> 00:40:56,600
does that in two games, you are 
likely to win those games if we 

793
00:40:56,600 --> 00:40:58,100
can pull it off two or three 
times in a game. 

794
00:40:58,100 --> 00:41:04,200
So yeah do the the multi-point 
shooter becoming very valuable, 

795
00:41:04,300 --> 00:41:09,000
ya know like the image I have in
my head about cup of tea, maybe 

796
00:41:09,000 --> 00:41:12,800
some movies and stuff is that 
The reader goes pretty much six 

797
00:41:12,800 --> 00:41:15,400
out of the seven guys would have
touched him and the rate of 

798
00:41:15,500 --> 00:41:19,000
which great difficulty comes 
back and manages to slap The 

799
00:41:19,000 --> 00:41:21,400
Lion and the the other team gets
all oh does it? 

800
00:41:21,400 --> 00:41:24,200
That's the image of Comedy that 
you have from Bollywood. 

801
00:41:24,200 --> 00:41:30,300
Let's say and then like from 
mastered their most recent 

802
00:41:30,300 --> 00:41:32,400
movie. 
I ever watched any movies in the

803
00:41:32,400 --> 00:41:35,500
last 10 years. 
So I'm talking about like some I

804
00:41:35,500 --> 00:41:37,000
wrote on some old Salman Khan 
movie. 

805
00:41:37,000 --> 00:41:41,000
I'm thinking of I don't even 
know which movie but but But he 

806
00:41:41,000 --> 00:41:42,400
is so in pickle that doesn't 
happen. 

807
00:41:42,400 --> 00:41:46,200
I guess, I guess you only get 
like one or two outs in a raid 

808
00:41:46,200 --> 00:41:52,600
and so on, once a to say, it's 
happened, once, Okay, who wants 

809
00:41:52,600 --> 00:41:58,100
took six points in a rate of Fox
Point, 6 Plus, and then the 

810
00:41:58,100 --> 00:41:59,700
Slick guy and he got six points 
with the. 

811
00:41:59,700 --> 00:42:01,300
There were only six players on, 
Matt. 

812
00:42:01,600 --> 00:42:06,100
You got all six on the mat and 
and because the team were 

813
00:42:06,100 --> 00:42:08,100
already got two points on a 
date, so it was neat. 

814
00:42:08,100 --> 00:42:12,100
Point rate effective bomb. 
Obviously, the game was over, 

815
00:42:12,100 --> 00:42:13,100
right? 
The team won the game. 

816
00:42:13,200 --> 00:42:19,300
It didn't matter to bigger lead.
So this is a short after that, 

817
00:42:19,300 --> 00:42:22,300
the game just. 
It was a good game to let point 

818
00:42:23,100 --> 00:42:26,300
and it just dissipated. 
Oh, how is company in science? 

819
00:42:26,400 --> 00:42:29,200
Some say some music, for 
example, in IPL what we saw this

820
00:42:29,200 --> 00:42:31,600
year is that like, there are 
some games which are which are 

821
00:42:31,600 --> 00:42:34,100
like very well in contests. 
And so on, there are some games 

822
00:42:34,100 --> 00:42:36,900
are let's say there's some gives
a weak King, Solomon, made him 

823
00:42:36,900 --> 00:42:40,100
110 120 and you you that there's
no point watching the game from 

824
00:42:40,100 --> 00:42:42,100
the Not that it is pretty much a
foregone conclusion. 

825
00:42:42,300 --> 00:42:45,500
It quickly becomes one side and 
I see this more in ODI Cricket 

826
00:42:45,500 --> 00:42:49,600
than a T20 where a game can very
quickly become one-sided, while 

827
00:42:49,600 --> 00:42:53,000
about 10% of the game's called, 
possibly like, remain exciting, 

828
00:42:53,000 --> 00:42:55,200
till the end zone. 
So how's it going, buddy, and 

829
00:42:55,200 --> 00:42:57,900
other sports. 
That you cover that is, you 

830
00:42:57,900 --> 00:42:59,800
know, you brought the other 
thing that is very similar 

831
00:42:59,800 --> 00:43:03,200
between Capaldi and basketball 
trade, but still has a lot of 

832
00:43:03,200 --> 00:43:06,000
close games. 
It's a district Ali, right? 

833
00:43:06,200 --> 00:43:09,700
And nobody is very similar 
because the ability to come back

834
00:43:09,700 --> 00:43:13,400
is actually Tight, I have seen a
few games team has gone up. 10 

835
00:43:13,400 --> 00:43:15,300
0. 
Good happens very quickly. 

836
00:43:15,400 --> 00:43:19,000
You get to three first user ID, 
a first 10 points, but once 

837
00:43:19,000 --> 00:43:21,500
other team regroups way, they 
can also get back to the same 

838
00:43:21,500 --> 00:43:26,000
evening points. 
And, you know, it it's a game 

839
00:43:26,000 --> 00:43:28,600
where a couple of Errors can 
suddenly turn the game on. 

840
00:43:29,400 --> 00:43:31,000
Yeah. 
So I have seen games with the 

841
00:43:31,000 --> 00:43:34,200
teams are one being eight points
down with three minutes to go. 

842
00:43:34,300 --> 00:43:36,800
It should not happen. 
You have as to error different 

843
00:43:36,800 --> 00:43:39,900
and you will certainly have a 
lot of pressure and because it's

844
00:43:40,000 --> 00:43:42,600
it's So fast, like worst of all 
the time for the code, there's 

845
00:43:42,600 --> 00:43:45,400
no time for courts to step in 
and, you know, kind of calm the 

846
00:43:45,400 --> 00:43:47,700
situation if you don't have a 
timeout left, yes. 

847
00:43:47,700 --> 00:43:49,300
Yes. 
Yes, you're acting under 

848
00:43:49,300 --> 00:43:50,800
pressure. 
And you know how you'll react 

849
00:43:50,800 --> 00:43:52,800
when the president only made 
more errors, right? 

850
00:43:52,800 --> 00:43:57,000
Yep, that would be so exciting. 
There is, you know, there is a 

851
00:43:57,008 --> 00:44:00,300
very small percentage of games 
that were actually, you know, 

852
00:44:00,400 --> 00:44:03,300
where you can predict the result
very very quickly into the game,

853
00:44:03,900 --> 00:44:06,600
right? 
When to average teams play, the 

854
00:44:06,600 --> 00:44:09,100
still high quality match. 
When two really strong team 

855
00:44:09,100 --> 00:44:13,600
spirit, still very hyper. 
And over the users, like what 

856
00:44:13,600 --> 00:44:17,200
you seen with, you know, even in
the cup of tea Nationals Talent 

857
00:44:17,200 --> 00:44:19,200
is spreading over. 
So there is not two or three, 

858
00:44:19,200 --> 00:44:21,600
who teaches already eight or 
nine good stating, otherwise, 

859
00:44:21,600 --> 00:44:26,400
Ariana Railways and services of 
the three strong teams, even in 

860
00:44:26,400 --> 00:44:29,000
the tournament. 
We conducted in the K7, you 

861
00:44:29,008 --> 00:44:32,100
know, there were 16 teams. 
We think there were 12 

862
00:44:32,100 --> 00:44:34,500
outstanding team went because we
were limited. 

863
00:44:34,500 --> 00:44:38,700
We couldn't conduct a longer 
event because of code can the 

864
00:44:38,700 --> 00:44:40,900
quality of gameplay between 
teams so high. 

865
00:44:40,900 --> 00:44:43,900
They were there were three years
at that ended with a 1-point 

866
00:44:43,900 --> 00:44:46,300
difference, right? 
Okay, click yes to time. 

867
00:44:46,800 --> 00:44:49,900
And these are all the nude, all 
these big debates on, who should

868
00:44:49,900 --> 00:44:54,100
rank higher because the fact is,
you know, using a small sample 

869
00:44:54,100 --> 00:44:56,900
set of decided ranking team is 
not fair also, right? 

870
00:44:56,900 --> 00:44:57,600
Yes. 
Yes. 

871
00:44:57,600 --> 00:44:58,300
Yes. 
Yes. 

872
00:44:58,300 --> 00:45:01,600
Yes, interesting property. 
That is what we are seeing. 

873
00:45:01,600 --> 00:45:06,000
We are seeing a lot of Close 
Encounters because quality is 

874
00:45:06,000 --> 00:45:08,200
generally stepped up, right? 
That's what we are. 

875
00:45:08,300 --> 00:45:12,300
Open the K7 and even the senior 
Nationals on the other hand. 

876
00:45:12,300 --> 00:45:14,700
If you look at International 
matches, very, very well 

877
00:45:14,700 --> 00:45:22,500
deserved. 
It is putting them in the local 

878
00:45:22,800 --> 00:45:27,200
matches us quite interesting. 
Whereas, when you look at it at 

879
00:45:27,200 --> 00:45:30,100
an international skills. 
It's still not scaled across the

880
00:45:30,100 --> 00:45:31,900
country yet again like 
basketball. 

881
00:45:32,900 --> 00:45:38,500
Yeah, exactly. 
Was the word we use an analogy. 

882
00:45:38,800 --> 00:45:41,400
But every day we see it. 
You know, they just, it is 

883
00:45:41,400 --> 00:45:44,500
staring at you of is actually, 
you know, what, the next time I 

884
00:45:44,500 --> 00:45:46,500
watch basketball. 
I don't think based on the 

885
00:45:46,500 --> 00:45:49,200
energy that you give me. 
I don't think I can unsee it 

886
00:45:49,200 --> 00:45:51,600
when I see, but I keep wondering
why in NBA. 

887
00:45:51,600 --> 00:45:53,500
First one team attacks, then 
immediately, another team 

888
00:45:53,500 --> 00:45:54,000
attacks. 
And so. 

889
00:45:54,000 --> 00:45:57,100
And so now if I just think of it
as a game of kabaddi, it's 

890
00:45:57,100 --> 00:46:00,800
really it's just going to be the
it's going to make more sense to

891
00:46:00,800 --> 00:46:03,000
me. 
Yeah, it is. 

892
00:46:04,500 --> 00:46:07,000
Okay, so being in. 
So I guess it's covered in terms

893
00:46:07,000 --> 00:46:09,400
of analytics and so on, you do 
things like cup. 

894
00:46:09,600 --> 00:46:11,400
How does it rate of perform 
given? 

895
00:46:11,400 --> 00:46:13,800
How many players are in the 
picture near the side and so on?

896
00:46:13,800 --> 00:46:16,500
And and those are some of the 
things that you quantify. 

897
00:46:16,500 --> 00:46:20,300
And I guess you also have like 
your regions of the cortex 

898
00:46:20,300 --> 00:46:23,300
things like that. 
I'm guessing select and 

899
00:46:23,300 --> 00:46:26,400
happening difference is very 
exciting to do and latex for 

900
00:46:26,400 --> 00:46:28,300
right? 
Okay, because the defense just 

901
00:46:28,300 --> 00:46:30,900
not a function of how, you know,
we, when we started doing 

902
00:46:30,900 --> 00:46:33,500
analytics and Cover TV were 
really visually how each player 

903
00:46:33,500 --> 00:46:36,500
was doing in the Did you ever 
hear of? 

904
00:46:36,500 --> 00:46:39,000
So, and then we started talking 
to coaches and present in 

905
00:46:39,000 --> 00:46:40,600
coaches kept saying. 
No, but this is not how it 

906
00:46:40,600 --> 00:46:42,600
works. 
See this way didn't do enough. 

907
00:46:42,600 --> 00:46:45,800
We just started the tackle. 
Those four guys who came after 

908
00:46:45,800 --> 00:46:48,200
are much more important, others 
is really useless tackle. 

909
00:46:48,400 --> 00:46:52,200
Yeah, right. 
Okay, so and that is almost 

910
00:46:52,200 --> 00:46:53,600
impossible to quantify. 
You think? 

911
00:46:53,600 --> 00:46:55,300
Tell you how you would quantify 
that, right? 

912
00:46:55,800 --> 00:46:57,500
Yeah. 
You guys know if I didn't 

913
00:46:57,500 --> 00:46:59,300
quantify, how do you collect the
data? 

914
00:46:59,300 --> 00:47:00,600
Like the okay. 
I see. 

915
00:47:00,600 --> 00:47:02,600
Now tell me about how you 
collect the data for somebody 

916
00:47:02,600 --> 00:47:05,300
having liquid. 
Because it's a Continuous within

917
00:47:05,600 --> 00:47:07,400
each. 
I mean each rate is a discrete 

918
00:47:07,400 --> 00:47:09,900
event. 
But within that there is a lot 

919
00:47:09,900 --> 00:47:12,800
of micro events that happen 
unless it's in badminton with 

920
00:47:12,900 --> 00:47:17,100
each shot is a discrete event 
and women is very easy compared 

921
00:47:17,100 --> 00:47:20,400
to cover D because every shot 
has a has a life of its own, 

922
00:47:20,600 --> 00:47:23,300
right? 
And it has a starting point and 

923
00:47:23,300 --> 00:47:25,900
an ending point yet. 
Clear within the rate. 

924
00:47:25,900 --> 00:47:27,500
There is no starting point and 
ending point. 

925
00:47:27,500 --> 00:47:28,800
There is something that's going 
on. 

926
00:47:29,000 --> 00:47:32,200
Their number of humans. 
I would say on the court is 

927
00:47:32,200 --> 00:47:34,100
their biggest difference and it 
also there are eight. 

928
00:47:34,300 --> 00:47:37,700
People on the code, red. 
I mean number of Defenders plus 

929
00:47:37,700 --> 00:47:39,800
one Accord during any rate 
continues. 

930
00:47:39,900 --> 00:47:40,500
Yes. 
Yes. 

931
00:47:40,500 --> 00:47:43,200
Yes. 
So because he has very nice 

932
00:47:43,200 --> 00:47:45,900
scent in covered a great. 
I would say, I mean, if I have 

933
00:47:45,900 --> 00:47:49,700
to qualify quantify where your, 
I think there's a long way for 

934
00:47:49,700 --> 00:47:52,400
analytics, to grow in comedy 
still, but we are doing things. 

935
00:47:52,400 --> 00:47:55,700
Like, who are The Defenders on 
code, how many of them, how are 

936
00:47:55,700 --> 00:47:59,600
they positioned? 
Well, when people stand, during 

937
00:47:59,600 --> 00:48:02,300
any radiant defense also, very 
big impact, right? 

938
00:48:02,300 --> 00:48:04,100
Some people are very good in 
some positions. 

939
00:48:04,200 --> 00:48:07,500
On the mat that some people are 
very good in the same position 

940
00:48:07,500 --> 00:48:09,200
when there are lesser people on 
the map. 

941
00:48:09,600 --> 00:48:10,700
Yeah, right. 
Yep. 

942
00:48:11,400 --> 00:48:14,400
There are these. 
If I had to name the defensive 

943
00:48:14,400 --> 00:48:16,700
position just for swear. 
I don't, I'll explain them. 

944
00:48:17,100 --> 00:48:20,700
Yeah, that the do corner 
positions And Then There are the

945
00:48:20,700 --> 00:48:23,200
to cover positions, the two 
covers play, inside the two 

946
00:48:23,200 --> 00:48:26,100
corners. 
What do the four main defensive 

947
00:48:26,100 --> 00:48:29,800
positions, but the to Raider, 
it's often the Raiders who stand

948
00:48:29,800 --> 00:48:33,100
with the two Corner Defenders is
one of the Traders is an 

949
00:48:33,100 --> 00:48:35,700
all-rounder. 
We are very valuable Defender 

950
00:48:35,700 --> 00:48:38,300
because the guy standing next to
the corner Defender, right, 

951
00:48:38,300 --> 00:48:41,300
whether the opposing writers, 
always looking at the corners. 

952
00:48:41,600 --> 00:48:43,500
Yes. 
So, the person standing inside, 

953
00:48:43,500 --> 00:48:45,500
the corner can get a lot of good
points. 

954
00:48:45,500 --> 00:48:48,100
If your corner, Israel is 
standing in the right position. 

955
00:48:48,400 --> 00:48:52,300
The Raider is trying to avoid 
the corner and this the corner 

956
00:48:52,300 --> 00:48:55,100
in as you call. 
It has the ability to get a lot 

957
00:48:55,100 --> 00:48:59,500
of good tactic points, you know?
Good as in three or four talking

958
00:48:59,500 --> 00:49:00,900
points in the game, extremely 
Priceless. 

959
00:49:00,900 --> 00:49:03,000
If one different is going into 
three teams in the game. 

960
00:49:03,300 --> 00:49:05,500
Yep. 
Here's the ability to do that 

961
00:49:05,500 --> 00:49:09,700
very consistently if he has a 
skill so specific skill, right? 

962
00:49:10,100 --> 00:49:13,500
And but, but the minute you 
become four Defenders, that guy 

963
00:49:13,500 --> 00:49:15,700
was standing next to the corner 
is a pointless Defender. 

964
00:49:15,700 --> 00:49:17,900
You can do very little. 
Yeah. 

965
00:49:18,200 --> 00:49:20,700
Yeah. 
Yeah, sodium skill level player.

966
00:49:20,800 --> 00:49:22,900
So that's and then you have to 
start quantifying. 

967
00:49:22,900 --> 00:49:25,700
What are the skills, you know, 
we've tried to break down the 

968
00:49:25,700 --> 00:49:27,300
skills of each defensive 
position. 

969
00:49:27,900 --> 00:49:30,900
So there are two kinds 
predominant skill for each. 

970
00:49:30,900 --> 00:49:34,100
Defensive position is slightly 
different right for the corner. 

971
00:49:34,600 --> 00:49:37,900
The predominant skills would be 
to put in an ankle hold to time 

972
00:49:37,900 --> 00:49:40,600
the start. 
Yeah. 

973
00:49:42,300 --> 00:49:44,500
In this context, which he just 
said now, right? 

974
00:49:44,500 --> 00:49:47,700
We did a small biomechanics sort
of study. 

975
00:49:47,900 --> 00:49:52,100
Okay, so there is the call for 
deep novel and we're deep level 

976
00:49:52,100 --> 00:49:54,700
of 8 points cream. 
Yes. 

977
00:49:55,500 --> 00:49:57,900
He was. 
He was a huge Nemesis for all 

978
00:49:57,900 --> 00:49:59,100
the teams. 
So we thought. 

979
00:49:59,100 --> 00:50:02,100
Okay, let us break down his 
successful rage and unsuccessful

980
00:50:02,100 --> 00:50:03,200
rates. 
Really? 

981
00:50:03,200 --> 00:50:07,400
What is the difference between 
the two from the aspects of his 

982
00:50:07,400 --> 00:50:09,600
positioning? 
And when the defense tackles, 

983
00:50:09,600 --> 00:50:10,300
right? 
Yeah. 

984
00:50:10,400 --> 00:50:12,400
And the thing which we came 
With. 

985
00:50:12,400 --> 00:50:16,500
It seems obvious in hindsight, 
is that every time his center of

986
00:50:16,500 --> 00:50:19,600
gravity, slightly outside his 
feet, right? 

987
00:50:19,800 --> 00:50:23,400
Yeah, then it's the dash comes 
from the Defenders. 

988
00:50:23,900 --> 00:50:26,200
It's a, it's a success for the 
Defenders. 

989
00:50:26,300 --> 00:50:28,900
Okay? 
Okay, but it's the timing of the

990
00:50:28,900 --> 00:50:32,000
difference is one second before 
that when he is, you know, 

991
00:50:32,000 --> 00:50:36,300
comfortably stable. 
Then he takes away all of them. 

992
00:50:36,300 --> 00:50:38,400
Within when you do go to the 
code. 

993
00:50:38,500 --> 00:50:41,400
I mean, it is a very interesting
piece of analytics, but I don't 

994
00:50:41,400 --> 00:50:45,000
know if but Deep can use it or 
the Defenders can use how you 

995
00:50:45,000 --> 00:50:47,600
would connect the data for this.
Because I think it's almost like

996
00:50:47,900 --> 00:50:48,500
you are. 
How are you? 

997
00:50:49,300 --> 00:50:51,100
I mean, it's such a continuous 
support. 

998
00:50:51,300 --> 00:50:55,300
If I had only one microsecond 
one millisecond later. 

999
00:50:55,300 --> 00:50:57,800
I get it's almost like you have 
got back to your center of 

1000
00:50:57,800 --> 00:51:00,500
balance and so like you can do 
that. 

1001
00:51:12,100 --> 00:51:15,900
Same sort of analysis of very 
center of gravity is where his 

1002
00:51:15,900 --> 00:51:19,800
body is, how is like angle is. 
And we looked at a lot of these 

1003
00:51:19,800 --> 00:51:21,700
things. 
But the thing, which matter was 

1004
00:51:21,700 --> 00:51:23,200
the co g. 
Wow. 

1005
00:51:23,300 --> 00:51:25,700
Wow, this completely 
fascinating. 

1006
00:51:26,200 --> 00:51:29,000
It was a one, one and a half 
month exercises just to give you

1007
00:51:29,000 --> 00:51:31,000
context. 
I will these important for 

1008
00:51:31,000 --> 00:51:34,600
people to recognize, it's not to
go with my dad, all your fears. 

1009
00:51:35,000 --> 00:51:38,200
So, I think now, this brings me 
to a question of a, I mean, 

1010
00:51:38,600 --> 00:51:41,800
obviously like sports, like a 
NBA there. 

1011
00:51:42,000 --> 00:51:44,300
Of the MLB. 
Even to some extent. 

1012
00:51:44,300 --> 00:51:47,000
IPL football etcetera, they have
money. 

1013
00:51:47,000 --> 00:51:49,500
So they could they can afford to
pay for this kind of a analytic 

1014
00:51:49,500 --> 00:51:52,800
and so on if it takes 11 and 
half, once you get this kind of 

1015
00:51:52,800 --> 00:51:55,600
an inside, I'll be like and if 
you are paid fairly for it, I 

1016
00:51:55,607 --> 00:51:58,600
can imagine it being like, 
fairly expensive but I can't. 

1017
00:51:58,700 --> 00:52:00,900
So, how do you get, how do you 
find the analytics? 

1018
00:52:00,900 --> 00:52:03,100
I mean like analytics has a 
long-term project. 

1019
00:52:03,100 --> 00:52:06,000
So how do you really find it and
what to what our teams and 

1020
00:52:06,000 --> 00:52:08,000
different sports doing on that 
so far? 

1021
00:52:08,200 --> 00:52:11,300
I do think we started covered 
data to make money. 

1022
00:52:12,100 --> 00:52:15,500
Your analytics, if we will 
recap, we really enjoy doing 

1023
00:52:15,500 --> 00:52:18,600
comedy analytics, right? 
And there was no way a franchise

1024
00:52:18,800 --> 00:52:22,300
team, an athlete, anybody in the
ecosystem, code, funded, 

1025
00:52:22,300 --> 00:52:26,500
exercise, until we know. 
And we think the sport has a way

1026
00:52:26,500 --> 00:52:28,500
to evolve and we wanted to be 
part of the journey. 

1027
00:52:28,500 --> 00:52:31,200
So it made sense for us to kind 
of, at least in comedy to be 

1028
00:52:31,200 --> 00:52:33,000
part of the entire growth story.
Right? 

1029
00:52:33,000 --> 00:52:36,100
To help the growth along. 
So we'll cover T. 

1030
00:52:36,100 --> 00:52:39,100
I think it is very much an 
investment, a tyrant, and it is 

1031
00:52:39,100 --> 00:52:41,900
really our interest and 
incentive to do it. 

1032
00:52:42,000 --> 00:52:44,500
It. 
But in other sports it has to be

1033
00:52:44,500 --> 00:52:50,400
the funded exercise and you 
know, you are seeing as you can 

1034
00:52:50,400 --> 00:52:52,500
imagine. 
You know, what we did with the 

1035
00:52:52,500 --> 00:52:56,100
city Only rather than you just 
said is automatable. 

1036
00:52:56,400 --> 00:52:59,500
It can be you know, automatable 
has it can be moved into video 

1037
00:52:59,500 --> 00:53:02,100
analytics. 
If you get the right that you 

1038
00:53:02,100 --> 00:53:04,000
you have the video you just need
to start cutting it. 

1039
00:53:04,000 --> 00:53:06,100
And you need to First build a 
tool. 

1040
00:53:06,100 --> 00:53:10,000
You need to train the tool, both
our Global exercises painful 

1041
00:53:10,000 --> 00:53:14,400
time consuming but very doable. 
And then it will start 

1042
00:53:14,400 --> 00:53:16,300
collecting the data for specific
readers. 

1043
00:53:16,300 --> 00:53:18,800
And then obviously include a 
human, because you have to do 

1044
00:53:18,800 --> 00:53:20,300
error correction. 
Every time be that gets 

1045
00:53:20,300 --> 00:53:21,100
collected. 
Correct? 

1046
00:53:21,300 --> 00:53:24,400
Yep. 
So, we want to get there and we 

1047
00:53:24,400 --> 00:53:27,900
believe poverty will get the 
probably in a few years right 

1048
00:53:28,400 --> 00:53:30,100
there. 
In the meantime, once you've 

1049
00:53:30,100 --> 00:53:33,500
discovered the inside, you can 
you can expect that cameras will

1050
00:53:33,500 --> 00:53:35,900
start collect recording videos. 
It said that will let you 

1051
00:53:35,900 --> 00:53:38,700
collect this data so you can set
up cameras for data collection, 

1052
00:53:38,700 --> 00:53:41,800
right? 
They create exactly it. 

1053
00:53:42,000 --> 00:53:44,300
Exactly. 
Yeah, we can has cameras for 

1054
00:53:44,300 --> 00:53:45,600
data collection. 
Okay. 

1055
00:53:45,800 --> 00:53:49,900
Yeah, you need live in poverty. 
For example, you will need a top

1056
00:53:49,900 --> 00:53:53,300
view and the job you will it 
attract all players on the mat. 

1057
00:53:53,500 --> 00:53:55,500
But the fact is how do you track
players? 

1058
00:53:55,800 --> 00:53:59,100
When when a tackles happen to 
those are suddenly eight players

1059
00:53:59,100 --> 00:54:05,200
who look like one lump in. 
All of these efforts will will 

1060
00:54:05,200 --> 00:54:07,900
take its own related Zone 
interest. 

1061
00:54:08,000 --> 00:54:11,800
It will we believe that all of 
this will come if the fan. 

1062
00:54:12,300 --> 00:54:15,800
Is tied into the sport, that is 
a fan, enjoys a sport. 

1063
00:54:15,900 --> 00:54:21,400
The analytics will follow that. 
And which is probably what both 

1064
00:54:21,500 --> 00:54:26,600
all the is drawn and MLB and we 
NFL of also new and of course, I

1065
00:54:26,600 --> 00:54:27,900
will show you the same thing 
away. 

1066
00:54:28,200 --> 00:54:30,900
Yes. 
I just got fan Cricket. 

1067
00:54:30,900 --> 00:54:34,300
Had one thing going for a rated 
always at data over the last 20 

1068
00:54:34,300 --> 00:54:38,900
years it is they have made data 
storytelling element. 

1069
00:54:39,000 --> 00:54:40,900
It's not happen today or 
yesterday, right? 

1070
00:54:40,900 --> 00:54:45,200
Has happened over 20. 
Years, very actively, every 

1071
00:54:45,200 --> 00:54:49,500
commentator, every platform 
using data to tell the story. 

1072
00:54:49,900 --> 00:54:53,700
Yeah, and I think that that is a
mindset that we are trying to 

1073
00:54:53,700 --> 00:54:57,600
build in kabaddi and it's, it 
will be a similarly, long 

1074
00:54:57,600 --> 00:54:59,900
journey probably shorter 
because, you know, people now 

1075
00:54:59,900 --> 00:55:03,900
and crickets already educated 
the audience to look at data. 

1076
00:55:04,200 --> 00:55:06,000
Yeah. 
So a lot of the analytical 

1077
00:55:06,000 --> 00:55:09,800
initially Camuto, Drive value to
the fan, but if your ass and do 

1078
00:55:10,000 --> 00:55:11,800
you have your own narrative for 
the sport? 

1079
00:55:12,400 --> 00:55:13,900
Which brings me to the other 
thing? 

1080
00:55:13,900 --> 00:55:16,800
You have got you've led me on to
my next question. 

1081
00:55:16,800 --> 00:55:20,100
What role does they say? 
Things like betting wherever 

1082
00:55:20,100 --> 00:55:23,400
it's legal and fantasy wherever 
betting is not legal. 

1083
00:55:23,600 --> 00:55:29,300
What what role does that play in
sort of in sort of developing 

1084
00:55:29,300 --> 00:55:33,800
the game overall and in sort of 
the developing analytics and and

1085
00:55:33,800 --> 00:55:38,000
things like that because the p7 
tournament, right? 

1086
00:55:38,300 --> 00:55:43,600
We were getting around, say 
fine. 100 users watching the 

1087
00:55:43,600 --> 00:55:48,700
match live at any point. 
So then nine matches nine out of

1088
00:55:48,700 --> 00:55:51,200
24 matches. 
We had dream level putting out a

1089
00:55:51,200 --> 00:55:53,700
game on their platform. 
Yeah, right. 

1090
00:55:53,700 --> 00:55:57,500
On the fantasy platform. 
Immediately the data on our 

1091
00:55:57,500 --> 00:56:01,300
website, for a player called 
neeraj Kumar spiked up, because 

1092
00:56:01,300 --> 00:56:04,700
people are now looking at stacks
of neeraj Kumar and the place 

1093
00:56:04,700 --> 00:56:06,400
even, I don't know who he is, 
right? 

1094
00:56:06,400 --> 00:56:08,500
Okay. 
So what is the need for 

1095
00:56:08,500 --> 00:56:11,800
consumption of Statistics data 
number? 

1096
00:56:12,000 --> 00:56:14,900
For the staff and suddenly we're
fantasy. 

1097
00:56:14,900 --> 00:56:19,300
Come, the equation. 
I think it creates that need and

1098
00:56:19,300 --> 00:56:23,700
that's the that's probably where
the meat in some sense. 

1099
00:56:24,900 --> 00:56:29,400
We noticed that it brings a fan 
closer to the sport, right? 

1100
00:56:29,400 --> 00:56:32,400
You are invested in the sport. 
We're just watching a person. 

1101
00:56:32,400 --> 00:56:35,400
Yeah, and that that that is what
the u.s. 

1102
00:56:35,400 --> 00:56:40,200
Always had reduced always at 
Fantasy 4 years running rate. 

1103
00:56:40,200 --> 00:56:44,300
Yep, please my favorite Fantasy 
game was a part of sitcom 

1104
00:56:44,300 --> 00:56:46,900
culture sitcoms used to talk 
about people. 

1105
00:56:46,900 --> 00:56:49,400
Running to create this Fantasy 
game in the middle of sitting in

1106
00:56:49,400 --> 00:56:52,300
the loom. 
It was an Indian popular sitcom 

1107
00:56:52,300 --> 00:56:53,500
side. 
Yeah. 

1108
00:56:53,600 --> 00:56:56,900
And so you're talking about 
fantasy as a part of basic 

1109
00:56:56,900 --> 00:56:59,600
culture, paying your regular 
Frankie game. 

1110
00:56:59,900 --> 00:57:02,000
We never spoke about betting as 
part of the regular ones. 

1111
00:57:02,000 --> 00:57:05,200
With the always spoke about 
creating a fantasy inviting 

1112
00:57:05,200 --> 00:57:08,900
friends as a couple of episodes.
Two and a Half Men has a 

1113
00:57:08,908 --> 00:57:12,800
girlfriend that principle to 
Modern I'm doing all the 

1114
00:57:12,800 --> 00:57:16,700
long-running sitcoms have 
fantasy brought up enough times.

1115
00:57:17,000 --> 00:57:18,800
Yep. 
So it's a part of basic culture 

1116
00:57:19,200 --> 00:57:22,800
and and like Daniel just said, 
right, the traction bestowing 

1117
00:57:22,800 --> 00:57:28,100
our own data for games where 
where there was an ability to 

1118
00:57:28,400 --> 00:57:31,200
put a fantasy team, Andre Miller
versus game where you couldn't 

1119
00:57:31,200 --> 00:57:32,800
create a team on finances and 
driven. 

1120
00:57:32,800 --> 00:57:37,600
It was still very interesting. 
Yeah, and a site went down, that

1121
00:57:37,600 --> 00:57:39,500
is not happen to us in the last,
okay. 

1122
00:57:41,700 --> 00:57:45,100
So what I say is they can 
normally you have the exam 

1123
00:57:45,100 --> 00:57:47,500
server core audience which are 
which will watch the game 

1124
00:57:47,500 --> 00:57:49,800
anyways, and so you would have 
the data from that and they'll 

1125
00:57:49,800 --> 00:57:52,300
be watching and I think once you
bring in fantasy and a 

1126
00:57:52,308 --> 00:57:56,700
well-designed fantasy and so on,
then that can that will also 

1127
00:57:56,700 --> 00:57:59,100
bring in a sort of a marginal 
audience, people who are in it 

1128
00:57:59,100 --> 00:58:02,600
just because like I know friends
who live in the UK, who bet on 

1129
00:58:02,600 --> 00:58:05,200
dog, Gracie, I mean, I don't 
think they've ever gone to see a

1130
00:58:05,207 --> 00:58:07,100
dominating show. 
Dog. 

1131
00:58:07,100 --> 00:58:10,600
Crazy, dog race, but they bet on
it because it's there on on the 

1132
00:58:10,600 --> 00:58:13,300
betting sites in. 
Yeah, I guess they just listing 

1133
00:58:13,300 --> 00:58:15,800
one of your events on deemed. 
Evan means that like, they'll be

1134
00:58:15,800 --> 00:58:20,000
some interest in that. 
Will that can in induce organic 

1135
00:58:20,000 --> 00:58:21,800
interesting, cupboard, if you 
think about it, because people 

1136
00:58:21,800 --> 00:58:23,500
would have watched it just for 
the heck of betting and then 

1137
00:58:23,500 --> 00:58:25,600
like they like the sporting so 
on. 

1138
00:58:27,000 --> 00:58:31,200
Yeah, and and, you know, I think
see fantasies are level of way 

1139
00:58:31,200 --> 00:58:34,400
from betting regular scientist. 
He's is making, you think about 

1140
00:58:34,400 --> 00:58:37,500
a player level and that makes it
very different, because you're 

1141
00:58:37,500 --> 00:58:39,500
not right, you're hunting. 
A macro decision, you're saying,

1142
00:58:39,500 --> 00:58:43,200
will this one player be 
interesting today or Windows has

1143
00:58:43,200 --> 00:58:45,600
been? 
And because has a fan, you're 

1144
00:58:45,600 --> 00:58:48,600
taking that move about these one
or two players being 

1145
00:58:48,600 --> 00:58:50,500
interesting, you're making a 
call, right? 

1146
00:58:50,900 --> 00:58:52,500
This guy is going to be testing 
today. 

1147
00:58:52,700 --> 00:58:54,800
So you're suddenly watch. 
This one is already said that 

1148
00:58:54,800 --> 00:58:58,400
playing who helped you are not. 
Yeah, yes. 

1149
00:58:58,400 --> 00:59:01,200
I did the watching the sport. 
You're not looking the result on

1150
00:59:01,200 --> 00:59:05,200
the spot. 
You can we bring that the fangs.

1151
00:59:05,600 --> 00:59:07,900
He's tied to the story. 
Come back was an extremely busy 

1152
00:59:07,900 --> 00:59:10,400
like watching that game because 
X obviously the steam will 

1153
00:59:10,400 --> 00:59:13,100
definitely come back. 
System doesn't mean he may not 

1154
00:59:13,100 --> 00:59:16,400
come back, but we feel like that
connect to the sport grows. 

1155
00:59:17,300 --> 00:59:21,000
I mean, like, I think I had the 
so when we talk about like sort 

1156
00:59:21,000 --> 00:59:23,500
of sports and it against the 
analytics and stuff. 

1157
00:59:23,700 --> 00:59:26,600
Most people will talk about the 
word uses Moneyball after the, 

1158
00:59:27,300 --> 00:59:30,400
the Michael Lewis book and movie
later on. 

1159
00:59:30,400 --> 00:59:33,200
So and I'm sure you would have 
gotten questions from everyone. 

1160
00:59:33,200 --> 00:59:35,700
Like what is the scope of my 
money voluntary K towards the 

1161
00:59:35,707 --> 00:59:37,500
core scope of Moneyball in 
comedy and so on. 

1162
00:59:37,500 --> 00:59:40,700
So that probably the Android 
that like, why don't you talk 

1163
00:59:40,700 --> 00:59:42,900
about? 
Like, I mean, I guess this is 

1164
00:59:42,900 --> 00:59:46,700
the sort of you spoke about 
performance analytics versus 

1165
00:59:46,700 --> 00:59:49,200
like, Business analytics 
Moneyball I guess is more of a 

1166
00:59:49,400 --> 00:59:52,900
macro business analytics kind of
a thing where you try to where 

1167
00:59:52,900 --> 00:59:56,800
you use data to sort of build 
build squads and so on. 

1168
00:59:56,800 --> 00:59:58,900
Right? 
So, how was that worked out in 

1169
00:59:59,100 --> 01:00:01,800
in different sports? 
Like, where is it under used? 

1170
01:00:01,800 --> 01:00:04,200
Where is it? 
/ used in your opinion and like,

1171
01:00:04,800 --> 01:00:07,000
and what? 
And yet talked about everything 

1172
01:00:07,000 --> 01:00:10,200
and finally come to the ability.
So I think see, we've done a lot

1173
01:00:10,200 --> 01:00:13,500
of this work in cricket and 
comedy specifically, right? 

1174
01:00:13,800 --> 01:00:19,400
So in cricket, we think, See, 
one of the big differences 

1175
01:00:19,400 --> 01:00:22,900
between, you know, the most 
natural comparison is cricket 

1176
01:00:22,900 --> 01:00:25,100
and baseball, right? 
The biggest difference between 

1177
01:00:25,100 --> 01:00:27,000
baseball and Cricket is that 
baseball me? 

1178
01:00:27,000 --> 01:00:30,100
It is it's kind of unconstrained
spending spending. 

1179
01:00:30,600 --> 01:00:33,800
So some teams can spend 4X of 
what other team spent. 

1180
01:00:34,400 --> 01:00:37,900
So one of the reasons something 
like money will happen in 

1181
01:00:37,900 --> 01:00:41,100
baseball is because the teams 
had less money still wanted to 

1182
01:00:41,100 --> 01:00:43,800
be competitive and for them to 
be competitive. 

1183
01:00:43,800 --> 01:00:46,900
They had to step away from the 
traditional. 

1184
01:00:47,800 --> 01:00:49,800
Definition or understanding of 
this port. 

1185
01:00:50,000 --> 01:00:52,000
So if I take the equivalent in 
cricket, the tradition 

1186
01:00:52,000 --> 01:00:54,900
understanding is, you need young
players to build a T20 scorer, 

1187
01:00:55,100 --> 01:00:56,200
right? 
Yeah. 

1188
01:00:56,300 --> 01:00:58,100
Thankfully in the first season 
and cska. 

1189
01:00:58,100 --> 01:00:59,300
That is only thing with this 
pain. 

1190
01:00:59,300 --> 01:01:03,800
We said that doesn't make any 
sense, you know, players really 

1191
01:01:03,800 --> 01:01:07,400
peak in their 30s. 
Yeah, and that that was our, 

1192
01:01:07,400 --> 01:01:11,100
that was our big inside for the 
season and that is probably why,

1193
01:01:11,100 --> 01:01:14,400
you know, it would add is one of
the places where we got a lot of

1194
01:01:14,400 --> 01:01:16,900
buying because then we were able
to buy players like so. 

1195
01:01:17,000 --> 01:01:20,000
Half Shane Wynn that once 
auction, we got fast. 

1196
01:01:20,000 --> 01:01:21,700
She wasn't in her words and 
sing, right? 

1197
01:01:21,700 --> 01:01:25,100
Yes. 
Yes, but, but to be fair, all 

1198
01:01:25,100 --> 01:01:28,400
three have been matched winners 
over this period of time, yeah. 

1199
01:01:29,400 --> 01:01:31,500
And and, and similar insights, 
right? 

1200
01:01:31,500 --> 01:01:34,200
So, so that is, for example, one
big. 

1201
01:01:34,500 --> 01:01:37,500
So money, collinsport really 
requires you to death first 

1202
01:01:37,500 --> 01:01:40,400
demonstrate, an insight, and 
then user inside to build your 

1203
01:01:40,400 --> 01:01:43,200
team before others catch up on 
that, right? 

1204
01:01:43,200 --> 01:01:46,400
Yep. 
And so, for example, in cricket,

1205
01:01:46,400 --> 01:01:49,300
that was a Those one specific 
Insight which allowed us to 

1206
01:01:49,300 --> 01:01:53,200
build a team. 
Now, the other, for example, 

1207
01:01:53,200 --> 01:01:56,700
very interesting thing that 
happens between nobody in 

1208
01:01:56,700 --> 01:01:59,500
baseball and covered cricket. 
Is it Cricket? 

1209
01:01:59,500 --> 01:02:01,700
Everyone's running a limited 
purse, right? 

1210
01:02:01,700 --> 01:02:05,400
All the twelve eight teams have 
the same defined purse. 

1211
01:02:05,800 --> 01:02:10,600
So it is now a function of how 
much do you spend on whom, you 

1212
01:02:10,600 --> 01:02:14,500
know, cska always retaining a 
large part of their core, right?

1213
01:02:14,800 --> 01:02:16,900
Yes. 
They very rarely try. 

1214
01:02:17,000 --> 01:02:20,300
To bring too much change into 
their thinking if something 

1215
01:02:20,300 --> 01:02:21,800
works. 
Why break it? 

1216
01:02:21,800 --> 01:02:24,700
And in the process works, why I 
try to create a new one. 

1217
01:02:24,900 --> 01:02:28,200
Yeah. 
It's clearly a mantra of 

1218
01:02:28,200 --> 01:02:30,200
success. 
All said and done it is it is 10

1219
01:02:30,200 --> 01:02:33,600
years, 10 years of data to say 
no stealing something, right? 

1220
01:02:33,600 --> 01:02:36,700
Of course they have. 
Yeah, and, and one of the other 

1221
01:02:36,700 --> 01:02:38,600
things we are beginning to 
notice itís. 

1222
01:02:38,600 --> 01:02:42,100
If you look at the, if you look 
at the cricket field, and if you

1223
01:02:42,100 --> 01:02:44,600
look at, if you look at where 
the catches, I think, you know 

1224
01:02:44,600 --> 01:02:46,900
where the most teal events 
happen to have four or five. 

1225
01:02:47,100 --> 01:02:50,100
Dominant positions in feeling, 
right? 

1226
01:02:50,900 --> 01:02:54,200
So this whole theory of saying, 
you want fantastic Fielder's 

1227
01:02:54,200 --> 01:02:59,200
across a cricket field is is I 
think fairly Humber, you know, 

1228
01:02:59,200 --> 01:03:01,500
it is sad. 
It's a little like baseball 

1229
01:03:01,500 --> 01:03:03,600
where they, where you want 
pictures, who have a strong arm 

1230
01:03:03,600 --> 01:03:06,800
and we'll throw fast. 
You don't you just need a mix of

1231
01:03:06,800 --> 01:03:08,800
you beneath Regal fielders in 
baseball. 

1232
01:03:09,000 --> 01:03:10,600
Yep. 
You don't need several filters. 

1233
01:03:10,900 --> 01:03:12,800
Emily. 
You need two or three. 

1234
01:03:12,800 --> 01:03:15,900
Good filters on your field, 
probably, for if you want to be 

1235
01:03:15,900 --> 01:03:19,300
a great feeling, right? 
This one who thing, right? 

1236
01:03:19,300 --> 01:03:22,100
When we are forming teams for 
instance, in cricket. 

1237
01:03:22,500 --> 01:03:26,100
I think while in forming a team,
you need to have an idea about 

1238
01:03:26,100 --> 01:03:31,200
what the role of the person is. 
Yeah, right, like for instance. 

1239
01:03:31,200 --> 01:03:36,500
Do I look at dhoni as just a 
batsman or just as a batsman and

1240
01:03:36,500 --> 01:03:38,200
a captain? 
So that was one question. 

1241
01:03:38,200 --> 01:03:41,600
We kind of came up with Ray. 
Yeah, and you come to the 

1242
01:03:41,600 --> 01:03:43,500
question. 
What is the role of a captain 

1243
01:03:44,100 --> 01:03:46,900
and what we realized was that 
every time? 

1244
01:03:47,000 --> 01:03:52,000
When he is on the field, the 
bowlers have a win probability 

1245
01:03:52,100 --> 01:03:55,200
5% more than they have if he's 
not on the field. 

1246
01:03:55,700 --> 01:03:57,600
So suddenly, let me stop you 
here. 

1247
01:03:57,700 --> 01:04:01,500
How did you even get this data? 
Because cfk the VA almost never 

1248
01:04:01,500 --> 01:04:03,300
played Without zoning. 
So how did you even get your 

1249
01:04:03,300 --> 01:04:08,000
cheetah? 
Three matches in 2004 Battle, of

1250
01:04:08,000 --> 01:04:11,200
course, a few years back problem
back spasm. 

1251
01:04:13,400 --> 01:04:15,700
Yeah, exactly. 
Exactly. 

1252
01:04:19,800 --> 01:04:22,400
See if this is noise or data. 
Also is not something I can even

1253
01:04:22,400 --> 01:04:24,500
argue with heavily for or 
against yet. 

1254
01:04:24,700 --> 01:04:28,400
Yeah, we feel we have collected 
enough noise out. 

1255
01:04:28,600 --> 01:04:30,700
We have looked at a player by 
player. 

1256
01:04:30,700 --> 01:04:33,400
We this something we did over a 
long period of time that we 

1257
01:04:33,400 --> 01:04:36,000
looked at all players who have 
played with dhoni. 

1258
01:04:36,000 --> 01:04:39,700
However, they played outside, 
how have they defend their best?

1259
01:04:39,700 --> 01:04:41,500
So what do we do? 
We said, how do they play in 

1260
01:04:41,500 --> 01:04:43,000
cser? 
Did they play outside? 

1261
01:04:43,500 --> 01:04:46,500
Then in case k? 
How did they play? 

1262
01:04:46,500 --> 01:04:48,800
When he The renewal is not there
in the four games. 

1263
01:04:48,800 --> 01:04:54,100
It's for bullers, then for 
players who have played with cs.

1264
01:04:54,100 --> 01:04:55,900
Can Garner what? 
What have they done on set? 

1265
01:04:55,900 --> 01:05:01,100
So we have tried to correct for 
noise when we still think there 

1266
01:05:01,100 --> 01:05:05,000
is a 5% Delta that he brings 
over to the bowling unit. 

1267
01:05:05,100 --> 01:05:09,900
Wow, right? 
Okay, and I think in some sense 

1268
01:05:09,900 --> 01:05:12,000
right? 
It's very tough to buy something

1269
01:05:12,000 --> 01:05:15,000
like that. 
And if it is true, as you can 

1270
01:05:15,000 --> 01:05:16,800
understand, I mean, obviously 
the system management. 

1271
01:05:16,900 --> 01:05:21,200
Peter seen it yet when there is 
a doesn't exist right now. 

1272
01:05:21,500 --> 01:05:24,800
And if I have to quantify and 
you add 5% performance 

1273
01:05:24,800 --> 01:05:28,400
Improvement for a player, when 
you put them in the squad, you 

1274
01:05:28,400 --> 01:05:30,300
can use what happens. 
Why it has neither. 

1275
01:05:30,300 --> 01:05:32,200
Why? 
The thing looks pretty I can 

1276
01:05:32,200 --> 01:05:36,900
imagine playing Tony, you know 
standing like Gail is doing it. 

1277
01:05:37,000 --> 01:05:39,000
Kind of brings you into one more
thing right? 

1278
01:05:39,000 --> 01:05:42,500
Which we did in the course of 
this Moneyball, analytic sort of

1279
01:05:42,500 --> 01:05:43,400
thing. 
Yes. 

1280
01:05:43,400 --> 01:05:46,800
We looked at just 25 metrics in 
cricket. 

1281
01:05:47,300 --> 01:05:52,400
Which might lead to a, you know,
win in the end for instance to 

1282
01:05:52,400 --> 01:05:56,700
your top. 
Best Batman scoring or be the 

1283
01:05:56,700 --> 01:05:58,400
Matrix. 
We were looking at were trying 

1284
01:05:58,400 --> 01:06:01,700
to address. 
What is the likelihood a team 

1285
01:06:01,700 --> 01:06:04,500
can qualify for a season 
exactly, right? 

1286
01:06:04,500 --> 01:06:08,100
Yeah. 
We looked at these 2030 Matrix, 

1287
01:06:08,100 --> 01:06:09,600
right? 
How much is your top order? 

1288
01:06:09,600 --> 01:06:11,600
Batsman, scoring? 
What is your death? 

1289
01:06:11,600 --> 01:06:14,800
Batsman, scoring? 
When is the first week it taken 

1290
01:06:15,100 --> 01:06:18,400
and the most? 
Don't metric which came out of 

1291
01:06:18,400 --> 01:06:20,600
all. 
This is again, a weak Link in 

1292
01:06:20,600 --> 01:06:23,800
your boning. 
So what's teams their match 

1293
01:06:25,000 --> 01:06:27,200
because of the worst 40 was of 
the match. 

1294
01:06:28,000 --> 01:06:32,300
So I don't irate. 
Yeah, if I don't prioritize 

1295
01:06:32,300 --> 01:06:35,600
getting a footballer and I do 
not know how to imagine, what 

1296
01:06:35,600 --> 01:06:37,300
will happen in the Dead Two 
Worlds, right? 

1297
01:06:37,300 --> 01:06:41,100
If I don't have a problem that 
just connects back to Tony 

1298
01:06:41,100 --> 01:06:42,600
adding value to the bowlers, 
right? 

1299
01:06:42,600 --> 01:06:46,700
So we have is able to use them 
correctly at the right times. 

1300
01:06:47,200 --> 01:06:50,600
Sister and it was a standard 
metric. 

1301
01:06:50,600 --> 01:06:52,400
Right? 
Your worst four overs. 

1302
01:06:52,600 --> 01:06:54,300
Just the worst Horrors in every 
match. 

1303
01:06:54,300 --> 01:06:57,200
Can if you just tell me what the
worse for was for both here. 

1304
01:06:57,200 --> 01:06:59,800
I can tell you which team won 
the game about 90% of the time. 

1305
01:07:00,200 --> 01:07:04,300
That's how I couldn't admit. 
I mean, that in hindsight, it 

1306
01:07:04,300 --> 01:07:07,500
sounds, it sounds quite obvious,
but obviously, to reach it, more

1307
01:07:07,500 --> 01:07:09,500
forward-looking was quite 
tricky. 

1308
01:07:30,800 --> 01:07:32,900
Thank you for listening to data 
shatter. 

1309
01:07:33,500 --> 01:07:37,000
If you like this show, please 
leave a comment, share and 

1310
01:07:37,000 --> 01:07:40,300
subscribe to the podcast. 
You can find this podcast on 

1311
01:07:40,300 --> 01:07:43,200
Apple podcasts Spotify. 
Wherever else? 

1312
01:07:43,200 --> 01:07:47,200
You go to get your podcasts. 
Once again, this is Karthik 

1313
01:07:47,200 --> 01:07:48,600
signing off. 
Thank you.