WEBVTT - Beating The Book: Dan Weston, Tennis Betting Masterclass

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<v Speaker 1>Check it down, man, now down man. It's the Beating

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<v Speaker 1>of the Book podcast. Kill Alex stand there. Hope you well,

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<v Speaker 1>hope you're staying safe. Hope you're enjoying your life despite

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<v Speaker 1>the strings in surreal time. This is and really hope

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<v Speaker 1>you're enjoying all the content here on the Beating of

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<v Speaker 1>the Book podcast during the pandemic today. Tennis not for everybody.

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<v Speaker 1>But if you don't like it, if you don't like

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<v Speaker 1>betting it, you may not like money. Uh. This is

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<v Speaker 1>Dan Weston for those who are listeners to a numbers

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<v Speaker 1>game at V City's very familiar. I haven't had him

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<v Speaker 1>on the podcast before, but I often say, uh, this

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<v Speaker 1>is probably the guy with the best record over the

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<v Speaker 1>longest period of time in any sport on my shows.

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<v Speaker 1>It's about as simple as that. And what better time

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<v Speaker 1>to use to go through a masterclass series betting tennis

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<v Speaker 1>one oh one really not just the one on one,

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<v Speaker 1>the masterclass series Dan Weston his general approach to handicapping tennis,

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<v Speaker 1>where you can get the data for it, and what

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<v Speaker 1>are some of the myths that he wanted to bust

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<v Speaker 1>or that I at least wanted him to address one

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<v Speaker 1>Betting the Sport of Tennis, Dan Weston on today's Tennis

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<v Speaker 1>Master Class series on the Beating the Book podcast. Enjoy

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<v Speaker 1>It's a numbers game with your host Jil Alexander on

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<v Speaker 1>those us to believe in analytics. It is the numbers

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<v Speaker 1>game right here at Vista, the Vegas s tastt Information Network,

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<v Speaker 1>the sports Betting Network, Serious x and Channel two oh four,

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<v Speaker 1>Visa dot Com, the Visa A foobost link a Game Plus.

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<v Speaker 1>It is Gil Alexander live from Bay Live from San Francisco.

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<v Speaker 1>This is where sports betting, analytics, actionable sports betting information

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<v Speaker 1>lives on the show today. We don't get the opportunity

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<v Speaker 1>during the hamster wheel that we're on during the normal

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<v Speaker 1>sports cycle to stop, reset at and get into handicapping basics,

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<v Speaker 1>especially on sports that we've made hay On specifically here

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<v Speaker 1>on a numbers game like the sport of tennis UH.

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<v Speaker 1>And so we want to do that for a little

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<v Speaker 1>while today because I think this is what there's a

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<v Speaker 1>subset who was like, I really like to get into

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<v Speaker 1>the weeds of tennis. So we'll do this here at

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<v Speaker 1>the top of the show. And for that, of course,

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<v Speaker 1>we bring in our longest tenured UH tennis expert here

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<v Speaker 1>on the show and really the guy that we go

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<v Speaker 1>to for all the nuts and bolts. If you could

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<v Speaker 1>only bet one sporting event across the gamute and had

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<v Speaker 1>only one shot at one event, who would be the

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<v Speaker 1>guy you'd go to and what sport would it be?

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<v Speaker 1>Here's my answer. Everybody's Dan Weston from the UK there

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<v Speaker 1>in England right now, Dan, good afternoon to you. How

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<v Speaker 1>you doing, man, Yeah, I'm good, very condoms, thank you.

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<v Speaker 1>How how first of all, before we get into the

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<v Speaker 1>nuts and bolts here, how has give us a snapshot

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<v Speaker 1>of how folks in England have dealt with the pandemic?

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<v Speaker 1>Is it's similar from your understanding of how we have

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<v Speaker 1>sort of chappy? How has it gone over there? Yeah,

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<v Speaker 1>it's a bit of a strange time really because you've

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<v Speaker 1>got the lockdown has happened, as it has with most

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<v Speaker 1>most countries really, but the government used it off about

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<v Speaker 1>a week and a half of that little bit so

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<v Speaker 1>you can you can see one person who's not in

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<v Speaker 1>your family at any one time as long as it's

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<v Speaker 1>outside and social distancing of two meters away, so there's

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<v Speaker 1>there's a little bit of more scopes sort of do

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<v Speaker 1>stuff you know, and shops are starting to open again,

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<v Speaker 1>like a few few know that sort of burger change,

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<v Speaker 1>like McDonald's, KFC, stuff like that are all starting to

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<v Speaker 1>open again. So it's a little bit of going back

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<v Speaker 1>to some fort normality. But it's so really strange time.

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<v Speaker 1>And obviously no sport as well, which is which is

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<v Speaker 1>strange for everybody, strange for everybody. I'm gonna start telling

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<v Speaker 1>people here when if they get within two ms of me,

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<v Speaker 1>because we use six feet obviously here did I'm gonna

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<v Speaker 1>start telling two meters, buddy, and see if they even

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<v Speaker 1>have any idea what I'm talking about. Said you're doing.

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<v Speaker 1>You write for Pinnacle, you write for bet Fair, you

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<v Speaker 1>did for bet Fair here um Dancy Dance getting calls

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<v Speaker 1>during the show. It's the very popular man Dan you

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<v Speaker 1>for for bet Fair. You've written this Masterclass Tennis betting series,

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<v Speaker 1>and master Class has become very popular on Facebook in

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<v Speaker 1>all different arenas, whether it's writing with Malcolm Gladwell, poker,

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<v Speaker 1>I think, Daniel and Grano, there's all kinds of things

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<v Speaker 1>that people are doing. Master classes. You do one for

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<v Speaker 1>tennis and you linked to it by the way on

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<v Speaker 1>your Twitter. Everybody should know at tennis ratings. So after

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<v Speaker 1>this discussion, if they want to go deeper, uh, they

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<v Speaker 1>can find the links there. But it's in three parts,

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<v Speaker 1>and I want to do the first two parts here

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<v Speaker 1>before the break, and then the third part after the

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<v Speaker 1>first of which is really the nuts and bolts of

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<v Speaker 1>what you do. It has to do with service, hold

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<v Speaker 1>and break opponent percentages or service and return points one percentages.

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<v Speaker 1>This is the crux of what you do because as

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<v Speaker 1>you put it, it really does give sort of a

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<v Speaker 1>fair Bay East line of the skill level of players.

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<v Speaker 1>Now that's exactly it. So there's there's a really strong

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<v Speaker 1>relationship between the combined hold break percentages of a player

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<v Speaker 1>and their win percentage, and likewise with the service and

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<v Speaker 1>return points one percentage for each players the same thing.

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<v Speaker 1>That's both of them really drive win percentages of players.

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<v Speaker 1>And if you if you look at the charts that

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<v Speaker 1>I put in their first article, you can see that

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<v Speaker 1>the top three players by the combined service and return

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<v Speaker 1>points one percentage, feder At, Djokovic, and Nadal all had

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<v Speaker 1>the three highest win percentages as well. So there's the

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<v Speaker 1>elite three are just still still out there. Is the

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<v Speaker 1>best as the best players on tour, and yeah, it's

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<v Speaker 1>it's really useful to start compare and contrast those those

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<v Speaker 1>players and and and what I do as well as

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<v Speaker 1>I use those those numbers surface related hugely, probably twelve

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<v Speaker 1>months sample size, I would try to try to do

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<v Speaker 1>on the whole. And I would then use those service

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<v Speaker 1>return points one percentages and whole break percentages for two

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<v Speaker 1>players on the surface to generate kind of model price

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<v Speaker 1>and just as sort of a guideline. And you and

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<v Speaker 1>I have referred to this on the show before, in

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<v Speaker 1>our in our many times together, when you combine service

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<v Speaker 1>and return points, you just add them together. One fifteen

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<v Speaker 1>is elite, you drop down a few percentage points from

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<v Speaker 1>there you're talking just below the elite level. And then

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<v Speaker 1>one hundred is what top fifty is that kind of

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<v Speaker 1>the very top fifty in the ranking. Yeah, the average

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<v Speaker 1>player on tour kind of thing. If you're a hundred,

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<v Speaker 1>then then about forty five fifty I find to be

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<v Speaker 1>to be about the mark for those type of players.

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<v Speaker 1>And yeah, they're on the whole. Players inside the top

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<v Speaker 1>fifty will have over a hundred percent mark. You know,

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<v Speaker 1>they're winning more points than they're they're losing. But obviously

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<v Speaker 1>that's a bit of a sliding scale. Um. But then

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<v Speaker 1>obviously players outside the top five in terms of ranking

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<v Speaker 1>unless they have long term injury players, you know, the

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<v Speaker 1>guys like Andy Murray, dal Pot etcetera, that they're going

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<v Speaker 1>to have on the whole below for those metrics as well.

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<v Speaker 1>So UM, and it's important obviously, is well kind of

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<v Speaker 1>putting go on and talk about to look at that

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<v Speaker 1>opponent quality and stuff as well. So that's that's that's

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<v Speaker 1>also that's sort of something to discuss as well. Yeah,

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<v Speaker 1>just just to give people some tangible examples. You already

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<v Speaker 1>mentioned Djokovic, Nadalin, Feder at least pre pandemic. We don't

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<v Speaker 1>know any different after the pandemic. But it is amazing

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<v Speaker 1>how those three guys are just completely off the charts

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<v Speaker 1>outlier you were in terms of their just elite status,

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<v Speaker 1>but in terms of that top fifty mark. I think

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<v Speaker 1>one of the things that I found fascinating was, and

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<v Speaker 1>this makes sense intuitively, when we watch the sport of tennis,

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<v Speaker 1>there aren't many examples, you say, of being below a

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<v Speaker 1>hundred percent combined in these categories and being consistently ranked

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<v Speaker 1>inside the ranked inside the top fifty, UM. But there

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<v Speaker 1>are there are some guys that sort of buck that,

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<v Speaker 1>and they tend to be the guys we think of

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<v Speaker 1>as very in Lehman's violence heavy cases, if you will.

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<v Speaker 1>Who are those guys? Yeah, well, I think we were

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<v Speaker 1>kind of enigmatic. It would be a diplomatic word, maybe, teach.

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<v Speaker 1>But benoir Pere was someone we've spoken about quite a

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<v Speaker 1>few times ourselves, haven't we on this on the show.

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<v Speaker 1>And he's this guy who's got a really high ability ceiling.

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<v Speaker 1>I remember watching him play del Potro in Rome maybe

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<v Speaker 1>like I want to say, but it might have been

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<v Speaker 1>a year either side of that, and he wiped the

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<v Speaker 1>fullward del Potro that day. That was That was a

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<v Speaker 1>real tough one for me to take because I was

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<v Speaker 1>I was favoring del Potro that day, and yeah, he's

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<v Speaker 1>got such a high ceiling, but he can just throw

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<v Speaker 1>in really bad performances as well. And and guys like

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<v Speaker 1>Fabio Fannini and Nick Kirios are also also you know,

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<v Speaker 1>fit the bill in that respect as well. I would say, Yeah,

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<v Speaker 1>I find the outliers fascinating in general, because you were

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<v Speaker 1>talking about guys they're tend to win matches more than

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<v Speaker 1>those underlying analytics would suggest, and guys who tend to

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<v Speaker 1>lose more than their underlying analytics suggests give examples of

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<v Speaker 1>those categories. Yes, so for sure. I mean someone like

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<v Speaker 1>Stefano sits it passes, is someone who's a real outlier

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<v Speaker 1>in terms of how much they win compared to their

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<v Speaker 1>underlying data. So so there, his underlying data isn't fantastic.

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<v Speaker 1>His decent, don't get me wrong, but it's not not

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<v Speaker 1>Stelen certainly not like top five level, which is kind

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<v Speaker 1>of on the class of right now in terms of

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<v Speaker 1>a ranking position um and and his return data is

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<v Speaker 1>what tends to hold him back. And I think that

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<v Speaker 1>that the unless he can address that, then it's going

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<v Speaker 1>to be probably quite a big problem in terms of

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<v Speaker 1>you know, looking at Grand Slams in the future on

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<v Speaker 1>the whole. But the vast, last, last majority of the

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<v Speaker 1>last ten fifteen years for men's Grand Slam winners have

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<v Speaker 1>all had above average percentages and considerably about average percentages

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<v Speaker 1>of breaking up oponents. And and that's pretty quite logical

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<v Speaker 1>as well, because you've you don't if you play best

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<v Speaker 1>of five steps, you don't want to play a long

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<v Speaker 1>long point. You don't want to play long matches, long

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<v Speaker 1>set sold matches that cumulating fatigue is just something to

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<v Speaker 1>you've really got to try and avoid as a player.

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<v Speaker 1>And the server orientated players like Sits the past and

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<v Speaker 1>going down the rankings a little bit, someone like Curios

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<v Speaker 1>as well. John is no sport likewise that really holds

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<v Speaker 1>them back in these big tournaments because the one they're

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<v Speaker 1>relying on variants a lot with the big serves and

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<v Speaker 1>tie breaks and stuff like that, key points winning key points,

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<v Speaker 1>but they're also going to get more tired because they're

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<v Speaker 1>playing longer matches on the whole one. And if you

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<v Speaker 1>look at like the winners of Grand Slams compared to

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<v Speaker 1>those guys who are about out in the courses and

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<v Speaker 1>any finals by that stage, a lot of the time

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<v Speaker 1>the winners have played like two three hours less court

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<v Speaker 1>time by the quarterfinals, and it's it's it makes a massive,

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<v Speaker 1>massive difference. On on the flip side, that's someone like

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<v Speaker 1>Mills around it should great or dematrop who have got

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<v Speaker 1>got higher high reputations in the past have underwhelmed from

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<v Speaker 1>a win percentage, but their underland dates is actually a

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<v Speaker 1>little bit better than what you might expect from from

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<v Speaker 1>their win percentage. So then perhaps guys to look at

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<v Speaker 1>next season in terms of favorable conditions as well. Both

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<v Speaker 1>both not quite a fast course petulity demetrol and loves

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<v Speaker 1>the fast core finding finding some value on those guys

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<v Speaker 1>probably underrated a little bit by the market right now.

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<v Speaker 1>Talking to Dan Weston at Tennis Ratings is where you

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<v Speaker 1>can find him on Twitter, Tennis Ratings, dot CEO dot

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<v Speaker 1>UK his website. We won't give away every name and

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<v Speaker 1>every piece of your piece because we want people to

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<v Speaker 1>actually read through them. But in part two and you

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<v Speaker 1>alluded it to it, you alluded to it earlier, Dan,

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<v Speaker 1>opposition quality is such a key component of this, and

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<v Speaker 1>while that may sound obvious to some, you really dive

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<v Speaker 1>into that deeply. Yeah, Yeah, for sure. I mean, I

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<v Speaker 1>mean the fact that I mean, even my eyes I

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<v Speaker 1>will open studying this. To be honest with you, the

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<v Speaker 1>fact that the top top ten player has played like

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<v Speaker 1>three times as many matches against opten opposition as as

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<v Speaker 1>guys who rank forty fifty is just mind blowing, to

0:12:05.000 --> 0:12:07.720
<v Speaker 1>be honest with you, and it really shows how tough

0:12:07.800 --> 0:12:09.320
<v Speaker 1>the top guys have it in terms of having to

0:12:09.320 --> 0:12:13.480
<v Speaker 1>play a high quality opposition on a regular basis. Yeah,

0:12:13.520 --> 0:12:17.240
<v Speaker 1>and and the example of Novak Djokovic is such an

0:12:17.240 --> 0:12:21.880
<v Speaker 1>interesting one for people who ever had any doubts about

0:12:21.960 --> 0:12:25.440
<v Speaker 1>his dominance and just the nature of his dominance. You

0:12:25.520 --> 0:12:27.920
<v Speaker 1>make the point that once you get out of top

0:12:28.000 --> 0:12:33.520
<v Speaker 1>ten opponents, for Novak Djokovic, the dominance level is off

0:12:33.559 --> 0:12:38.160
<v Speaker 1>the charts, like it is breathtaking. Yeah, exactly that. So

0:12:38.200 --> 0:12:42.400
<v Speaker 1>he's boasting like isner service numbers for when he's not

0:12:42.400 --> 0:12:45.600
<v Speaker 1>playing top ten opposition, and obviously but he doesn't have

0:12:45.640 --> 0:12:47.240
<v Speaker 1>that reputation of being such a big server. But then

0:12:47.280 --> 0:12:49.719
<v Speaker 1>he's also like breaking like thirty five percent of the

0:12:49.760 --> 0:12:54.360
<v Speaker 1>time as well. So when you're when you're holding and

0:12:54.400 --> 0:12:59.840
<v Speaker 1>breaking thirty against an opponent ranking bracket that's so tough

0:12:59.880 --> 0:13:03.280
<v Speaker 1>to be in, is it's not surprising he's prohibitively short

0:13:03.400 --> 0:13:06.080
<v Speaker 1>priced by the market in most of those instances as well.

0:13:06.960 --> 0:13:09.120
<v Speaker 1>So here's the money question, then, Dan, Because it occurs

0:13:09.120 --> 0:13:11.000
<v Speaker 1>to me that people are listening to this and those

0:13:11.000 --> 0:13:13.160
<v Speaker 1>that are because those that have listened to this show

0:13:13.760 --> 0:13:16.720
<v Speaker 1>a numbers game on Visa. This is the sport that

0:13:16.880 --> 0:13:19.440
<v Speaker 1>we this in baseball are the two sports that we

0:13:20.480 --> 0:13:23.360
<v Speaker 1>kill the most. And what we've just described about tennis

0:13:23.720 --> 0:13:28.800
<v Speaker 1>really just trying to ascertain what, you know, the difference

0:13:28.840 --> 0:13:31.199
<v Speaker 1>between true skill set and what the stats are, what

0:13:31.280 --> 0:13:35.000
<v Speaker 1>performance shows, right, And it's very similar to pitching in baseball.

0:13:35.360 --> 0:13:38.040
<v Speaker 1>But the money question for those listening and who are interested,

0:13:38.040 --> 0:13:40.160
<v Speaker 1>are okay, baseball, I know where to get all those numbers.

0:13:40.160 --> 0:13:43.079
<v Speaker 1>I go to these specific websites like fan graphs that

0:13:43.360 --> 0:13:49.080
<v Speaker 1>the volume of information is just boundless. Where do they

0:13:49.120 --> 0:13:53.600
<v Speaker 1>go for service hold and break opponent percentages or service

0:13:53.600 --> 0:13:57.360
<v Speaker 1>and return points one percentages? In tennis? Where does one

0:13:57.480 --> 0:14:00.880
<v Speaker 1>get that data? Yeah, that's a very good question. I

0:14:00.880 --> 0:14:03.160
<v Speaker 1>think there's a number of good resources online for that.

0:14:03.320 --> 0:14:07.320
<v Speaker 1>So the ATP website is actually not too bad for it,

0:14:07.400 --> 0:14:10.000
<v Speaker 1>and it goes back quite historically as well in terms

0:14:10.080 --> 0:14:12.560
<v Speaker 1>of the year's current so you can live and look

0:14:12.559 --> 0:14:15.000
<v Speaker 1>at like you know, previous years and stuff like that.

0:14:15.559 --> 0:14:20.640
<v Speaker 1>Um also you can buy all means you can anyone

0:14:20.680 --> 0:14:23.160
<v Speaker 1>can build their own database of data from the match

0:14:23.160 --> 0:14:25.200
<v Speaker 1>stats as well. That I mean, there's so many websites

0:14:25.240 --> 0:14:29.080
<v Speaker 1>which have matched stats for for the individual matches. So

0:14:29.400 --> 0:14:34.000
<v Speaker 1>for example, websites like flash scores, so for scores, there's

0:14:34.040 --> 0:14:35.640
<v Speaker 1>there's plenty of others who are sort of will run

0:14:35.680 --> 0:14:37.120
<v Speaker 1>off the same engine. They look like they run off

0:14:37.120 --> 0:14:40.880
<v Speaker 1>the same engine. Um do the match stats that you

0:14:40.880 --> 0:14:42.840
<v Speaker 1>can then put into your own database and create your

0:14:42.880 --> 0:14:46.840
<v Speaker 1>own database of every single player. Alternatively, there's some subscription

0:14:46.880 --> 0:14:49.800
<v Speaker 1>sites that also cover that type of information as well.

0:14:50.200 --> 0:14:52.840
<v Speaker 1>So there's there's websites such as on Court and Tennis

0:14:53.040 --> 0:14:55.640
<v Speaker 1>Insight as well. They charge the subscription, but they have

0:14:55.680 --> 0:14:57.920
<v Speaker 1>a lot of information as well. So so a few

0:14:57.960 --> 0:15:00.880
<v Speaker 1>a few sites for people to have a look at. Yeah,

0:15:00.880 --> 0:15:02.880
<v Speaker 1>and then every once in a blue moon, we should

0:15:02.920 --> 0:15:06.320
<v Speaker 1>say when you're feeling generous, you come on this show

0:15:06.360 --> 0:15:08.720
<v Speaker 1>and you're like, hey, I'll give this to you black.

0:15:08.800 --> 0:15:11.000
<v Speaker 1>We usually do it for Slams right where you're like, oh,

0:15:11.040 --> 0:15:12.720
<v Speaker 1>I'll give you this up, so you'll you may. I

0:15:12.760 --> 0:15:14.640
<v Speaker 1>don't want to put you on the spot, but maybe

0:15:14.760 --> 0:15:16.840
<v Speaker 1>once or twice in the future you'll do that as well.

0:15:16.920 --> 0:15:19.640
<v Speaker 1>I guess I'm so we will. Yeah. Well, it was

0:15:20.240 --> 0:15:26.040
<v Speaker 1>capped up in Slams and sometimes Masters tournaments as well. Yeah. Yeah, Well,

0:15:26.120 --> 0:15:28.840
<v Speaker 1>let's hope. Let's hope tennis is sooner than later, Dan,

0:15:28.960 --> 0:15:32.440
<v Speaker 1>because you know, as we remember here in this country,

0:15:32.600 --> 0:15:36.080
<v Speaker 1>the night that the NBA shut down and the mornings

0:15:36.120 --> 0:15:40.080
<v Speaker 1>when college basketball tournaments UH conference tournaments shut down. But

0:15:40.200 --> 0:15:44.440
<v Speaker 1>really it was tennis that was the first UH sport

0:15:45.040 --> 0:15:47.760
<v Speaker 1>to have a cancelation. And it was tennis is de

0:15:47.840 --> 0:15:52.320
<v Speaker 1>facto fifth major at Indian Wells the Sunday before the

0:15:52.440 --> 0:15:55.440
<v Speaker 1>NBA shut down where they were, and remember they were

0:15:55.560 --> 0:15:59.000
<v Speaker 1>ridiculed when they did it. But Riverside County, you know,

0:15:59.000 --> 0:16:02.920
<v Speaker 1>which is a very old population, UH predominantly older population.

0:16:02.960 --> 0:16:05.960
<v Speaker 1>They really made a great move there. And tennis has

0:16:05.960 --> 0:16:08.920
<v Speaker 1>been the first sport to really be vigilant about this

0:16:08.960 --> 0:16:11.640
<v Speaker 1>and and UH and shut down sport. But we, like

0:16:11.720 --> 0:16:15.760
<v Speaker 1>every other sport, hope it comes back um sooner than later,

0:16:15.800 --> 0:16:18.200
<v Speaker 1>that's for sure. After the Breakdan, let's get into the

0:16:18.280 --> 0:16:22.360
<v Speaker 1>three biggest myths of tennis handicapping. We'll do that coming

0:16:22.400 --> 0:16:24.840
<v Speaker 1>back on a numbers game with Dan Weston right here

0:16:24.840 --> 0:16:27.360
<v Speaker 1>at Visa these Sports betting them. Welcome back to a

0:16:27.520 --> 0:16:31.920
<v Speaker 1>numbers game with Jill Alexander. Numbers game brought you by

0:16:31.920 --> 0:16:34.520
<v Speaker 1>man escaped dot com. Manscape dot com has the tools

0:16:34.560 --> 0:16:36.880
<v Speaker 1>for your family jewels. You can get off let's free

0:16:36.920 --> 0:16:39.840
<v Speaker 1>shipping with the code visa in at manscape dot com.

0:16:39.840 --> 0:16:43.880
<v Speaker 1>That's at manscaped dot Com with promo code v S

0:16:43.920 --> 0:16:48.200
<v Speaker 1>I n Gil Alexander in San Francisco, Dan Weston in

0:16:48.280 --> 0:16:52.960
<v Speaker 1>England joining us by video Skype, Dan Great question off Twitter. Uh,

0:16:53.000 --> 0:16:56.160
<v Speaker 1>this is the thing I always bring up when it

0:16:56.200 --> 0:17:00.160
<v Speaker 1>comes to tennis data, Jamie Samuel Great Minds or a

0:17:00.280 --> 0:17:04.480
<v Speaker 1>great question? Does Dan fine? Spreads can be quote unquote

0:17:04.480 --> 0:17:07.720
<v Speaker 1>wonky in tennis because players win differently. Some get up

0:17:07.720 --> 0:17:09.760
<v Speaker 1>a break and they are happy to just maintain that break,

0:17:09.800 --> 0:17:12.400
<v Speaker 1>maybe to conserve energy. Fed on grass comes to mind.

0:17:12.400 --> 0:17:14.520
<v Speaker 1>He says, others tend to put their foot down and

0:17:14.560 --> 0:17:17.080
<v Speaker 1>don no matter the score. I would sort of add

0:17:17.119 --> 0:17:20.520
<v Speaker 1>to that. There is this notion of people people always

0:17:20.560 --> 0:17:23.240
<v Speaker 1>the brains always goes to fit, they go to fixing matches.

0:17:23.240 --> 0:17:26.119
<v Speaker 1>I'm not talking about fixing matches. What about the dirty

0:17:26.240 --> 0:17:29.960
<v Speaker 1>data also of guys who they're down a break in

0:17:29.960 --> 0:17:31.959
<v Speaker 1>a set. Let's say they're up two to one, and

0:17:32.040 --> 0:17:34.159
<v Speaker 1>let's say a five setter, they're down a break in

0:17:34.160 --> 0:17:37.320
<v Speaker 1>a fourth set, and they just kind of decide, yeah,

0:17:37.400 --> 0:17:39.719
<v Speaker 1>I'm just gonna let this set go and play the

0:17:39.720 --> 0:17:42.080
<v Speaker 1>fifth set. So there is that notion of of dirty

0:17:42.200 --> 0:17:45.360
<v Speaker 1>data in tennis. Is that a problem for you? Yeah?

0:17:45.440 --> 0:17:47.800
<v Speaker 1>I know what you're saying here. I'm I think that

0:17:47.880 --> 0:17:50.720
<v Speaker 1>it's quite a rare circumstance. That's say, a player will

0:17:50.800 --> 0:17:54.720
<v Speaker 1>tanker set when they're a set down just to break

0:17:54.720 --> 0:17:57.200
<v Speaker 1>downstars saying a set when they're leading, so te one

0:17:57.240 --> 0:18:00.320
<v Speaker 1>up in in the fourth set in a Glands slamming

0:18:00.320 --> 0:18:02.119
<v Speaker 1>the breakdown. I don't think. I don't see that as

0:18:02.160 --> 0:18:06.560
<v Speaker 1>being a major major issue. Um. It probably does happen sometimes,

0:18:06.560 --> 0:18:08.679
<v Speaker 1>but I think the effect on overall data is like

0:18:08.680 --> 0:18:12.119
<v Speaker 1>a very very negligible. Obviously, in the best of three

0:18:13.040 --> 0:18:15.480
<v Speaker 1>set of matches, it's even less likely that someone's going

0:18:15.520 --> 0:18:18.639
<v Speaker 1>to want to tank a set just just you know,

0:18:18.720 --> 0:18:20.560
<v Speaker 1>I think that's you could you can say that there's

0:18:20.560 --> 0:18:22.879
<v Speaker 1>as much likelihood of that happening from the kind of

0:18:23.000 --> 0:18:26.560
<v Speaker 1>fatigue mentality kind of perspective as as a player just

0:18:26.680 --> 0:18:30.280
<v Speaker 1>kind of like imploding anyway and mentally and you know,

0:18:30.440 --> 0:18:33.280
<v Speaker 1>just just completely like losing the pullot mentally because they's

0:18:33.280 --> 0:18:37.320
<v Speaker 1>stressed or whatever. And I don't see it's a major

0:18:37.400 --> 0:18:41.440
<v Speaker 1>issue um at all, really, to be honest. And and

0:18:41.640 --> 0:18:44.240
<v Speaker 1>as far as what Jamie was saying, where certain players

0:18:44.320 --> 0:18:47.320
<v Speaker 1>might have different behaviors, I guess it all falls under

0:18:47.320 --> 0:18:49.119
<v Speaker 1>the same category where you're saying is you're you're just

0:18:49.119 --> 0:18:51.440
<v Speaker 1>going to look at the raw data. The more you

0:18:51.560 --> 0:18:54.360
<v Speaker 1>overthink it, the more you're polluting it. Basically, you don't

0:18:54.359 --> 0:18:57.080
<v Speaker 1>want to get into that game. Yeah, I mean with

0:18:57.080 --> 0:18:59.520
<v Speaker 1>with with the kind of the raw data and looking

0:18:59.520 --> 0:19:03.600
<v Speaker 1>at player ability to come back or or retain retain leads,

0:19:03.600 --> 0:19:06.040
<v Speaker 1>will come back from deficits stuff. That's that's very very important.

0:19:06.080 --> 0:19:07.960
<v Speaker 1>I have a database with that as well, which I

0:19:07.960 --> 0:19:11.719
<v Speaker 1>think is quite useful, particularly if you're maybe taking taking

0:19:11.800 --> 0:19:16.119
<v Speaker 1>prices in running as well, if you can do that. Um,

0:19:16.520 --> 0:19:19.639
<v Speaker 1>but there is a kind of a trend really, so

0:19:19.960 --> 0:19:23.600
<v Speaker 1>what yours find is that the serve orientated players they

0:19:23.640 --> 0:19:26.040
<v Speaker 1>win sets by much more narrow margins, but there are

0:19:26.080 --> 0:19:28.280
<v Speaker 1>also a lot better at retaining leads because they've got

0:19:28.320 --> 0:19:31.000
<v Speaker 1>that powerful serves to back them up when when times

0:19:31.040 --> 0:19:35.240
<v Speaker 1>get tough, then a breakpoint down or fifteen fifteen forty down,

0:19:35.280 --> 0:19:36.560
<v Speaker 1>a lot of the time they can serve their way

0:19:36.560 --> 0:19:40.080
<v Speaker 1>out of that whole. And whereas whereas a more return

0:19:40.160 --> 0:19:43.560
<v Speaker 1>arounentated player and perhaps a typical clay quarter doesn't have

0:19:43.640 --> 0:19:46.600
<v Speaker 1>the serve to to bail them out when when when necessary,

0:19:47.280 --> 0:19:49.520
<v Speaker 1>And so generally you find that there's this trend where

0:19:49.800 --> 0:19:53.760
<v Speaker 1>the lower the hold percentage or the small smaller the

0:19:53.800 --> 0:19:57.240
<v Speaker 1>gap between whole percentage and break percentage, the more likely

0:19:57.240 --> 0:19:59.760
<v Speaker 1>a player is to to lose leads and to have

0:20:00.400 --> 0:20:04.680
<v Speaker 1>more more of a a match which is quite topsy

0:20:04.720 --> 0:20:06.679
<v Speaker 1>turvy with a lot of breaks, or perhaps some some

0:20:06.800 --> 0:20:09.280
<v Speaker 1>dominant sets as well, like a double break leader for

0:20:09.359 --> 0:20:11.560
<v Speaker 1>set like say six to as opposed to the server

0:20:11.600 --> 0:20:14.240
<v Speaker 1>orientated guys, you know that is a curiosity and federer

0:20:14.600 --> 0:20:17.720
<v Speaker 1>who with a lot of sets sort of six four seven,

0:20:17.800 --> 0:20:20.720
<v Speaker 1>five seven six type things. All right, Dan, we got

0:20:20.800 --> 0:20:22.640
<v Speaker 1>ninety seconds, So I'm going to shout out the three

0:20:22.720 --> 0:20:24.879
<v Speaker 1>big myths in tennis handicapping, and you give me a

0:20:24.920 --> 0:20:28.159
<v Speaker 1>few words on them. One the fallacy of head to

0:20:28.200 --> 0:20:31.600
<v Speaker 1>head records. Yeah, so head to head records. This is

0:20:31.640 --> 0:20:34.000
<v Speaker 1>the sample size is just not big enough to to

0:20:34.000 --> 0:20:38.119
<v Speaker 1>to warrant much investigation into this um what what what

0:20:38.160 --> 0:20:40.159
<v Speaker 1>I would say is that it's got to really have

0:20:40.240 --> 0:20:43.320
<v Speaker 1>a lot of context with it. So recently, the recent

0:20:43.400 --> 0:20:45.640
<v Speaker 1>data two to three years at least the three Neil

0:20:45.720 --> 0:20:50.800
<v Speaker 1>lead would be would be recommended. Also, the surface did

0:20:50.800 --> 0:20:53.600
<v Speaker 1>they play on the surface, which was favoring one particular player,

0:20:53.800 --> 0:20:56.159
<v Speaker 1>and also like looking at the career trajectories of of

0:20:56.240 --> 0:20:58.280
<v Speaker 1>the different players as well, because sometimes you see like

0:20:58.280 --> 0:21:00.280
<v Speaker 1>a guy like three down in head to head, but

0:21:00.600 --> 0:21:02.399
<v Speaker 1>all them three defeats were like when he was like

0:21:02.640 --> 0:21:04.480
<v Speaker 1>a young player and now he's a lot better. So

0:21:04.480 --> 0:21:06.440
<v Speaker 1>how can you really give any credence to that head

0:21:06.480 --> 0:21:10.480
<v Speaker 1>to head? He can't really um and and understanding the

0:21:10.520 --> 0:21:12.840
<v Speaker 1>context of the matchup as well. So I talked about

0:21:12.880 --> 0:21:15.640
<v Speaker 1>my my my friend who was top ten player at

0:21:15.640 --> 0:21:18.679
<v Speaker 1>one point, he had eight nill head to head the

0:21:18.800 --> 0:21:22.639
<v Speaker 1>deficit against one player, but he he lost like tire

0:21:22.680 --> 0:21:25.680
<v Speaker 1>breaks and blue match points and blue serving for the

0:21:25.720 --> 0:21:27.879
<v Speaker 1>match and stuff like that. So he said to me

0:21:27.920 --> 0:21:29.720
<v Speaker 1>he's never he would never felt beat before he went

0:21:29.720 --> 0:21:31.520
<v Speaker 1>on the went on court, you know against that guy,

0:21:31.560 --> 0:21:33.400
<v Speaker 1>even though it's like miles down in the head to head.

0:21:34.840 --> 0:21:36.840
<v Speaker 1>Tell you what, we'll come back after the break. You

0:21:36.880 --> 0:21:39.119
<v Speaker 1>don't mind, do you mind stoking around one, because we'll

0:21:39.160 --> 0:21:41.800
<v Speaker 1>get we'll get to the other two myths addition to

0:21:41.920 --> 0:21:43.520
<v Speaker 1>to the fails you have head to head matches, because

0:21:43.520 --> 0:21:45.800
<v Speaker 1>there's two others that I think are key, the second

0:21:45.920 --> 0:21:51.600
<v Speaker 1>of which is really fascinating Dan Weston talking tennis since

0:21:51.640 --> 0:21:54.680
<v Speaker 1>we've got the chance during these strange times, was taken

0:21:54.720 --> 0:21:56.639
<v Speaker 1>to get to the nuts and balls of tennis. Handycamping

0:21:56.680 --> 0:21:59.040
<v Speaker 1>on the way. Christopher Leek has still become Bill Crackerburger

0:21:59.080 --> 0:22:01.280
<v Speaker 1>as well on the Numbers Game and Visa Vista spending

0:22:01.280 --> 0:22:05.200
<v Speaker 1>them Welcome back to a numbers game with Jill Alexander.

0:22:06.280 --> 0:22:08.040
<v Speaker 1>It is a numbers game right here at Visit Serious

0:22:08.119 --> 0:22:12.600
<v Speaker 1>XM Channel two of four, Gil Alexander, Dan Weston at

0:22:12.600 --> 0:22:14.680
<v Speaker 1>Tennis Ratings by the way again where you can find

0:22:14.760 --> 0:22:17.320
<v Speaker 1>him on Twitter if you want to dive deeper into

0:22:17.320 --> 0:22:19.840
<v Speaker 1>this for all the UH tennis heads who want to

0:22:19.880 --> 0:22:22.960
<v Speaker 1>handicap tennis and win, I mean, I guess if you

0:22:23.080 --> 0:22:24.679
<v Speaker 1>if you don't like money, you may not want to

0:22:24.680 --> 0:22:26.160
<v Speaker 1>do it. But you know, if you like money, might

0:22:26.160 --> 0:22:29.000
<v Speaker 1>be something you might want to dive into. Just just

0:22:29.040 --> 0:22:31.440
<v Speaker 1>a suggestion, but here are the three biggest myths we

0:22:31.520 --> 0:22:34.120
<v Speaker 1>just talked about the fallacy of of when they throw

0:22:34.280 --> 0:22:38.760
<v Speaker 1>up head to head stats, it's generally meaningless. As Dan said,

0:22:38.920 --> 0:22:43.480
<v Speaker 1>there might be a rare circumstance um that fits all

0:22:43.520 --> 0:22:47.320
<v Speaker 1>these criteria enough of a sample size, the proper surface,

0:22:47.400 --> 0:22:50.880
<v Speaker 1>on and on but generally speaking it's all uh nonsense,

0:22:50.960 --> 0:22:55.440
<v Speaker 1>quite frankly. Number two, Um, this one's interesting because you'll

0:22:55.480 --> 0:22:57.560
<v Speaker 1>see this every once in a while, the notion of

0:22:57.600 --> 0:23:01.720
<v Speaker 1>a home advantage in a tennis match lay in it. Yes,

0:23:01.840 --> 0:23:03.880
<v Speaker 1>so obviously in a lot of sports, and I don't

0:23:03.880 --> 0:23:05.359
<v Speaker 1>know what it's like an American sports so much, but

0:23:05.359 --> 0:23:08.560
<v Speaker 1>in soccer in England, the concept of home advantages is

0:23:08.640 --> 0:23:13.000
<v Speaker 1>massive and team teams routine you have a considerably high

0:23:13.080 --> 0:23:15.120
<v Speaker 1>wind percentage at home than they do when they're when

0:23:15.119 --> 0:23:17.840
<v Speaker 1>they're away. Um. And I think some people think that

0:23:17.920 --> 0:23:21.600
<v Speaker 1>this kind of applies with with tennis as well. You know,

0:23:21.720 --> 0:23:23.919
<v Speaker 1>for a players playing in front of a passion at

0:23:23.920 --> 0:23:26.719
<v Speaker 1>home crowd in a big, big tournament, maybe they might

0:23:26.720 --> 0:23:28.560
<v Speaker 1>get an extra five ten percent out of it. That's

0:23:28.640 --> 0:23:31.600
<v Speaker 1>I guess some people's theory. But mathematically, if you're looking

0:23:31.600 --> 0:23:34.719
<v Speaker 1>at like closing prices, that that that wasn't really a

0:23:34.760 --> 0:23:39.440
<v Speaker 1>major factor at all. And I think that a lot

0:23:39.440 --> 0:23:42.080
<v Speaker 1>of the time when you're comparing those comclosing prices to

0:23:42.080 --> 0:23:46.280
<v Speaker 1>to the actual winds that the players as a group recorded,

0:23:47.440 --> 0:23:49.199
<v Speaker 1>the more of a more of a case is the

0:23:49.200 --> 0:23:52.440
<v Speaker 1>fact that they're actually getting conditions to their liking at

0:23:52.480 --> 0:23:54.879
<v Speaker 1>home a lot more so. For example, you look at

0:23:55.400 --> 0:23:57.720
<v Speaker 1>English players, for example, a lot of them played a

0:23:57.760 --> 0:23:59.639
<v Speaker 1>lot of grass when they're younger, so they're better and

0:23:59.720 --> 0:24:03.280
<v Speaker 1>go out us than they are than they are on

0:24:03.400 --> 0:24:08.959
<v Speaker 1>other surfaces, perhaps particularly clay notably, and therefore therefore they

0:24:09.000 --> 0:24:11.760
<v Speaker 1>might have performed better on cross but that's that's expected

0:24:12.160 --> 0:24:15.280
<v Speaker 1>because there they're at home at wimbled and Queens tournaments

0:24:15.280 --> 0:24:17.760
<v Speaker 1>and on glass in England. But then also the fact

0:24:17.840 --> 0:24:21.200
<v Speaker 1>that sa If as a Spanish or an Argentinean player,

0:24:21.520 --> 0:24:24.840
<v Speaker 1>a lot of the time their clay court specialists, real

0:24:24.880 --> 0:24:29.400
<v Speaker 1>return orientated players. They're not necessarily performing better because they're

0:24:29.400 --> 0:24:32.880
<v Speaker 1>in their home country. They're just they're just performing better

0:24:32.920 --> 0:24:36.240
<v Speaker 1>because the conditions of their home country's tournaments tend to

0:24:36.280 --> 0:24:38.960
<v Speaker 1>be sort of very slow clay courts, for example, in

0:24:38.960 --> 0:24:42.440
<v Speaker 1>those instances, and there's quite there's quite a few few

0:24:42.440 --> 0:24:45.280
<v Speaker 1>other examples. So for example, looking at flip side of hardcourt,

0:24:46.160 --> 0:24:48.240
<v Speaker 1>going back in time a little bit, Bernard Tomics, who

0:24:48.600 --> 0:24:52.000
<v Speaker 1>those careers imploded a little bit at the moment he

0:24:52.560 --> 0:24:57.119
<v Speaker 1>had a superb record and fast hard courts in Australia

0:24:57.560 --> 0:25:00.000
<v Speaker 1>and in curiosity as well as similar cyber player as well,

0:25:00.359 --> 0:25:03.480
<v Speaker 1>but that's completely expected the serve orientated players. So it's

0:25:03.720 --> 0:25:06.840
<v Speaker 1>kind of looking at horses and courses rather than actual

0:25:06.920 --> 0:25:10.280
<v Speaker 1>specific countries, looking at the conditions, looking at which tournaments

0:25:10.280 --> 0:25:13.680
<v Speaker 1>of a slow slower conditions than than faster conditions, et cetera.

0:25:14.520 --> 0:25:17.639
<v Speaker 1>Courses for courses. I hope that one is pretty straightforward

0:25:17.640 --> 0:25:19.800
<v Speaker 1>with people for people. This is the third and final one,

0:25:19.800 --> 0:25:21.919
<v Speaker 1>and I find this one the most interesting because I

0:25:21.960 --> 0:25:25.880
<v Speaker 1>remember distinctly Dan, you and I during Wimbledon last year,

0:25:26.320 --> 0:25:29.879
<v Speaker 1>during the last Australian Open, having this circumstance come up,

0:25:30.080 --> 0:25:36.760
<v Speaker 1>and it's the notion of incredible overreactions within tournaments um

0:25:36.800 --> 0:25:40.280
<v Speaker 1>explain how two different markets can be doing to two

0:25:40.280 --> 0:25:43.399
<v Speaker 1>different things at the same time. It was funny enough

0:25:43.440 --> 0:25:47.879
<v Speaker 1>as I thought of our conversations about Sophia Kennan before

0:25:48.040 --> 0:25:52.800
<v Speaker 1>and then it started in Australia in January, and how

0:25:52.840 --> 0:25:56.359
<v Speaker 1>it was completely absurd that that she was actually a

0:25:56.359 --> 0:26:00.320
<v Speaker 1>bigger place to win the tournament uh compare paired to

0:26:00.680 --> 0:26:03.080
<v Speaker 1>cored Golf, despite the fact that she was a favorite

0:26:03.080 --> 0:26:04.639
<v Speaker 1>for their individual match. I think it was in the

0:26:04.680 --> 0:26:07.399
<v Speaker 1>fourth round of that particular tournament. And there's there's a

0:26:07.400 --> 0:26:11.359
<v Speaker 1>few instances of that. So golf again in Winwood and

0:26:11.480 --> 0:26:15.679
<v Speaker 1>last season was quite similar. And Lucas Russell, notably in

0:26:15.680 --> 0:26:18.480
<v Speaker 1>Winwood and twelve after he beat Ralph Nadal end up

0:26:18.520 --> 0:26:21.960
<v Speaker 1>being fifth favorite on Betfair outright for the tournament, but

0:26:22.200 --> 0:26:24.240
<v Speaker 1>he was a heavy underdog in the next round against

0:26:24.240 --> 0:26:26.520
<v Speaker 1>Philip Cobbles Driver. So how does that work exactly? I mean,

0:26:26.920 --> 0:26:30.359
<v Speaker 1>there's some massive flaws in those outright markets from that perspective,

0:26:31.000 --> 0:26:35.680
<v Speaker 1>and and generally speaking, there was a slight under performance

0:26:35.760 --> 0:26:40.480
<v Speaker 1>from heavy underdog winners in against notable players, players who

0:26:40.480 --> 0:26:44.040
<v Speaker 1>have priced over five point zero zero in decimal, decimal terms,

0:26:45.200 --> 0:26:47.480
<v Speaker 1>how they performed in their next match backing up a

0:26:47.480 --> 0:26:52.639
<v Speaker 1>big win, if you like, and they slightly underperformed um

0:26:52.760 --> 0:26:56.520
<v Speaker 1>based on closing price value and so so kind of

0:26:56.960 --> 0:26:59.280
<v Speaker 1>my mentality is that in England they might call it

0:26:59.400 --> 0:27:01.680
<v Speaker 1>there's something that after the Lord Mayors Show where a

0:27:01.720 --> 0:27:07.040
<v Speaker 1>player kind of disappoints after after a big win, Whereas

0:27:07.080 --> 0:27:08.520
<v Speaker 1>I think a lot of people kind of try and

0:27:08.600 --> 0:27:12.160
<v Speaker 1>ride the players perceived form when actually it's not really form,

0:27:12.200 --> 0:27:14.159
<v Speaker 1>and a lot of it's kind of variant or the

0:27:14.200 --> 0:27:16.280
<v Speaker 1>big name player under performing as well. So there's a

0:27:16.280 --> 0:27:18.120
<v Speaker 1>lot of other factors that go into it rather than

0:27:18.560 --> 0:27:21.840
<v Speaker 1>one player being on like a complete role. What was

0:27:21.880 --> 0:27:24.399
<v Speaker 1>the term you used after a disappointing match? What was

0:27:24.440 --> 0:27:27.440
<v Speaker 1>the term you just used? Disappointee match? After a big win,

0:27:27.600 --> 0:27:31.439
<v Speaker 1>we would be called after the Lord Mayors Show, after

0:27:31.520 --> 0:27:35.920
<v Speaker 1>the Lord Mayor's Show up. I'll ask you affair exactly

0:27:35.920 --> 0:27:38.439
<v Speaker 1>the origins of that, um, But I think and I

0:27:38.480 --> 0:27:40.479
<v Speaker 1>don't mean to offend it all, but whenever you're on,

0:27:40.760 --> 0:27:42.679
<v Speaker 1>we always joke that there's a bit of an English

0:27:42.680 --> 0:27:46.320
<v Speaker 1>to English translation here for the predominantly American audience. But essentially,

0:27:46.320 --> 0:27:48.119
<v Speaker 1>if you missed that, what Dan is getting at is

0:27:48.760 --> 0:27:53.199
<v Speaker 1>uh the example of Wimbledon when Coco Golf beat Venus

0:27:53.240 --> 0:27:57.560
<v Speaker 1>Williams I believe it was, or when she had an upset,

0:27:57.600 --> 0:28:00.000
<v Speaker 1>I think even a starker upset in Australia. I think

0:28:00.080 --> 0:28:02.960
<v Speaker 1>she she'd beat the number three seat if I'm not mistaken. Um,

0:28:03.320 --> 0:28:07.360
<v Speaker 1>but you'll see, yeah, you'll see the futures market where

0:28:07.400 --> 0:28:10.080
<v Speaker 1>Cocoa Goff's number will just create and it will be

0:28:10.160 --> 0:28:12.720
<v Speaker 1>just she'll be like the third or fourth shot to

0:28:12.760 --> 0:28:14.840
<v Speaker 1>win the tournament all of a sudden. But in her

0:28:14.960 --> 0:28:19.760
<v Speaker 1>next match she's much more appropriately priced. And what Dan

0:28:19.880 --> 0:28:24.480
<v Speaker 1>is getting at is that match price is more often

0:28:24.480 --> 0:28:27.359
<v Speaker 1>than not the much more accurate one. Is that well said,

0:28:28.040 --> 0:28:32.400
<v Speaker 1>Yeah very much so so I much more favored Kennan

0:28:32.200 --> 0:28:36.800
<v Speaker 1>than Golf in that Australian match in January. Yeah. Yeah,

0:28:36.880 --> 0:28:39.880
<v Speaker 1>obviously that the outright market was was was not favorable

0:28:39.920 --> 0:28:44.320
<v Speaker 1>and at all. Yeah, Dan, I can't thank you enough.

0:28:44.400 --> 0:28:46.640
<v Speaker 1>We we don't get a chance to do this when

0:28:46.640 --> 0:28:49.520
<v Speaker 1>we're handicapping matches, um, but this was a great time

0:28:49.560 --> 0:28:51.080
<v Speaker 1>to do it. And again for those who want to

0:28:51.160 --> 0:28:53.120
<v Speaker 1>delve into it, because we just really scratched the surface.

0:28:53.520 --> 0:28:56.080
<v Speaker 1>At Tennis Ratings is where Dan has posted his three

0:28:56.600 --> 0:29:01.040
<v Speaker 1>Masterclass Tennis Betting Series pieces over their bedfair and the

0:29:01.240 --> 0:29:03.840
<v Speaker 1>last thing in thirty seconds, Dan, when do you think

0:29:03.840 --> 0:29:07.280
<v Speaker 1>we're coming back? What's your best guess? Yeah, I mean

0:29:07.280 --> 0:29:10.040
<v Speaker 1>I'd like to think we're going to get some decent

0:29:10.080 --> 0:29:13.400
<v Speaker 1>action this year. I mean I think maybe like August

0:29:13.480 --> 0:29:21.160
<v Speaker 1>might be a yeah, an optimistic I'll take that to Yeah, absolutely,

0:29:21.520 --> 0:29:23.920
<v Speaker 1>we'll come back. Thank you, Dan, I really appreciate it, man,

0:29:24.000 --> 0:29:26.280
<v Speaker 1>and really, uh, stay safe and we hope to talk

0:29:26.280 --> 0:29:30.360
<v Speaker 1>to you soon. Yeah. Likewise, ty tego Dan Weston the

0:29:30.520 --> 0:29:34.000
<v Speaker 1>Great Dan Western doesn't get better than that in any

0:29:34.080 --> 0:29:36.360
<v Speaker 1>specific sports on planet Earth.