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Welcome to the Atlanta Tennis Podcast.

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Every episode is titled,

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It Starts with Tennis and Goes From There.

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We talk with coaches, club managers,

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industry business professionals,

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technology experts, and anyone else we find interesting.

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We wanna have a conversation as long as it starts with tennis.

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Hey, hey, this is Shaun with the Atlanta Tennis Podcast,

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With that said, let's get started

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with 10 minutes of tennis.

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Today is 10 minutes of tennis with world renowned tennis coach,

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Justin Yeo, Australian in Puerto Rico,

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who I'm pretty sure just got hooked on by a bird.

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But today, we're gonna talk about data, data,

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whatever you wanna pronounce it,

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however you wanna say it, data is king.

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What does that mean, Justin?

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- Yeah, data is king, but I'm gonna put the shout outs

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everybody.

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Let's hear some questions.

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What do you wanna hear about?

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What do you wanna learn more about?

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Let's start and get a bit of an audience.

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So start sharing with us what you wanna learn more about,

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and let us shape some of this 10 minutes

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around what you need.

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So anyway, that's a little shout out for me.

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Yeah, data is king.

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I mean, data has been around for the last,

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at least the last 30 years,

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and it's deep, deep into it now.

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I mean, a lot of players are utilizing all sorts of data

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against opponents so they know what kind of tactics

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they need to play when they need it.

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So that's really deep into the game right now.

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Most people don't have access to that for their own data.

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But what I will tell you is it's not that hard

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to have a friend chart your match

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and learn how many unforced errors you made,

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and where your forced errors are,

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where your unforced errors are,

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how many back ends you, how many forehand you hit.

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But, you know, the one thing that continues to still

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shine through all the data is the first serve percentage.

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They still, still, number one on the list on the TV

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when the players are winning.

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The first thing they'll show is the high percentage first serves.

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So, high percentage first serve is still one of the kings

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when we look into data.

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But data for itself, like I said,

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for a normal amateur, for a junior,

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I would start looking into this stuff.

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I would start looking into ball speed

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between racket to racket.

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It's not that hard to go cross a tennis court

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in a junior tournament and measure what it's like

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between racket to racket.

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So you can start to understand,

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wow, that kid's really hitting the ball faster

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than that kid.

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And there's a lot of factors that you're involved in data

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that you can actually start to utilize yourself.

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Just things like, you know, I mean Craig Shaunasey

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is crushing it right now, fellow Aussie around the world right now.

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I mean, Jockovich uses it in my lot to analyze

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and understand his opponents and understand what people are playing

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so that Jockovich can look into the game and improve things.

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You know, Federer in his last few years was learning

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that he had to be quicker between Centima to the singles line

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and the singles line to Centima.

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If he could increase that by a couple of milliseconds,

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that's already helping him recover.

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Take the advantage on the next shot,

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possibly hit another forehand, possibly hit a better backhand cross court.

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So there's all these things in data

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that we're understanding that's making the sport

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more effective, more tactical.

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And I just say open your eyes to it because it's there.

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There's a lot of stuff that IBM publishes online.

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They've said that the average rally is zero to four shots.

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So what are we doing?

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We should be training kids out of you better at four shots.

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Don't wait for four shots.

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You know, I grew up like the guy would say,

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you need to rally 50 balls in a row.

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Well, who the hell are rallies 50 balls in a row?

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Nobody anymore.

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It's zero to four shots.

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Get better at four shots.

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Get better at four shots.

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Take advantage as quick as you can.

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Now, it's saying you can't rally 50 balls

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and that you have to practice that sometimes

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being ready for the long point, but it's not most of your points.

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So the data is proven that we need to start taking advantage

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as early as possible between serve return

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and trying to manipulate the court as quick as possible.

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All right, so I'll push back on zero to four is the way to go right now.

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Because in that case, I think we would have five Americans in the top five.

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Because our Americans, not the ones that are big serve, big forehand,

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the best at winning the zero to four shots.

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But how does that play out with the Americans?

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Not quite being able to hang out in the top 10 anymore.

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Side note.

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That's a totally different story.

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But maybe the data shows, maybe the data shows

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where the errors are.

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I commonly talk about, when you talk about tennis, it's all between years.

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You can actually recognize patterns in data

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by seeing that you hit two good points and then drop a point and then drop a point again.

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What they've done lately is they've shown data on heart rate

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and correlated that to unpause their it's or correlated that to what we call

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mind fog or dream well when you lose attention span on the court.

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And then they start also correlating the time of each point

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and starting to recognize where it is your attention span is the best

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and how much you take advantage of points

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and where you're actually getting trouble where the longer points are.

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So there's all these factors in data that maybe I don't know

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Fritz and all these guys you're talking about.

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Maybe there's some kind of data there that they need to start

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recognizing the mental parts and all the other things,

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all the factors involved in that.

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But if I'm correlating data to the American side of things,

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maybe it's to do with that.

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There's so many factors I have about American tennis right now.

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So I'm going to get into that.

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We need way more than 10 minutes.

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Yeah, that was a bit of a sign.

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And I'm good friends with Andy and John Radik and all these guys

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and Tom Martin of I have had some big conversations that

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there's a lot of factors.

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There's a lot of things coming into play development to try to improve

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in the American side of tennis.

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Women's side is flying though.

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It's always been flying for the last 10 years.

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But the data itself is one of the key factors that's helping

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a lot of players understand how to manipulate these things.

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So to the amateur player then, we all know that IBM has their fancy stats

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that they run with a professional player.

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And the amateur player just says two things in my mind.

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Eh, I don't have that kind of data.

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And what I also don't have is the knowledge of the next person

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I'm about to play because at most of our tennis, especially at Lanna's league

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play, I'm going to go play in a neighborhood I may or may not have been

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to before against a pair, a doubles pair that I may or may not have played

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before.

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And usually I'm running up against somebody that I've never played before.

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So I don't have that pre-match schedule of strategy that comes in that says

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I'm ready to play against this person because it's a professional tennis player

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and I know everything about them, which is good because they're not a professional

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tennis player.

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OK.

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I can give a little bit of a hint on that one.

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OK.

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It's not hard not necessarily to pay a coach, but to pay a friend or to have a teammate

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and start taking stats on each team that you play so that when you go to play them

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again, you can start to identify where their errors are, where they do and don't like.

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But you really have to understand the three dimensions of the court side to side, up and

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down, forward and back.

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You have to identify beforehand back and errors, net game, and then in the graphing that you're

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marking down, you're marking down all those things that then eventually will give you

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some stats.

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But the next time you play that team, maybe also if the teams mix up and change doubles

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partners, you still know specifically data on each person.

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It's not that hard to do, but it gives you something else you have to do instead of

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sitting around while you're waiting for your match to play.

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Junior's the same thing.

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To put everybody together.

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It's the same thing.

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You could create a journal, might play a development journal with the kids.

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They would have to go around, look at the draw, possibly the players they would possibly

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play because if you get a 128 draw, there's only certain players that you're possibly going

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to hit in your area and you would start walking around each match and start making

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down notes of what toolbox and your toolbox will hurt that person's toolbox.

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So you're analyzing all those matches before you get to that match, you have to play those

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plays.

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All right, and for the amateur player, whether it's a junior or an adult playing on the weekend,

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playing out to USDA T2, go grab if you're interested.

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I'll put them in the show notes for this, for the audio and for the video.

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I will put in links.

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We've got partnerships with some of them affiliates with some of them to say there is swing vision,

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there is baseline vision.

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I think it's all there's tennis analytics.

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There are video analytics tools that are coming out for the amateur player that you hang your

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camera up there and it will track your match for you.

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Then you have your data on your opponent as well.

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They're also coming out soon with line call ability so you can then take away any of those

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arguments.

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You just say we're going to go with the line call on the camera and that's going to take

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away a lot of those fights as well.

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Justin, you need to follow up with this.

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I'm sure, but right now our 10 minutes are up.

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Thank you, sir.

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10 minutes of tennis.

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We'll see you next Tuesday.

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Well, there you have it.

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We want to thank reGeovinate.com for use of the studio and be sure to hit that follow button.

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And with that, we're out.

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See you next time.

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Bye.

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