Thanks to the shot-by-shot data collected for over 3,500 matches by the Match Charting Project, we can look at every instance of the shot in question and see what happened. With just one tap you can track players or your own score during a match. Contemporary women hit far fewer smashes than men do, and they win points less often when they hit them. position: relative; Thus, to translate BHP (or any other potency metric, like Forehand Potency, FHP) to points, multiply by two-thirds. Welcome to Ultimate Tennis Statistics, the ultimate men's tennis statistics destination for the die-hard tennis fans! The order of this list has much in common with the previous one, with names like Federer, Sampras, and Tsonga at the top. 15 (2003 Masters Cup - 2004 Masters Cup), Mental Toughness Rating compares players in pressure situations: Mental Toughness Rating = Mental Points won / Mental Points lost, Mental Points are weighted pressure situations: Mental Point = 2 * Best-of-3 Deciding Set + 4 * Best-of-5 Deciding Set + 2 * Final Match + Non-Deciding Set Tie-Break + 2 * Deciding Set Tie Break, 2015-2023 Strange Forest Software, feedback at, Powered by open-source software: Linux, PostgreSQL, Java, Spring Boot, available at, Tennis Masters Series records and statistics, Winners/Unforced/Forced Errors, Net Points and Serve Speed - All now present as Statistics Categories for newest tournaments, starting from, Tweak for Grass Elo - Period for inactivity extended for Grass Elo from 1 to 2 years to address the lack of grass season 2020, leading to the much more accurate, Reclassification of Masters tournaments for seasons before 1990 - As Wikipedia's page, Huge missing data update: More than 200 tournament events are added in seasons 1968-1972, lacking rankings are added in seasons 1976-1978 (now the dataset for the ATP Open Era is probably more than 99% complete), Elo Ratings calculation now takes into account frozen rankings status during coronavirus ATP circuit break (23-03-2020 to 23-08-2020), leading to much more accurate. Here are the top 14 playersminimum ten charted matches, ranked by the probability of winning a point from that position. You Don't Need a Big Serve. Each shot in tennis is made with a decision. Typically, the player is at or approaching the net when they hit the ball.. Varying Spin. Tennis Stats was created for players / coaches / parents of players who seek to track a players evolution and progression through key shot / match data. It was then used in the Davis Cup in 2002, then at the Australian Open in 2003, and it became an official tennis refereeing system in 2005. Next up is Serena Williams, who hits almost as many smashes as any active player on this list, and is nearly as successful. As I continue to explore this type of algorithm, combined with the growing Match Charting Project dataset, well learn a lot more about the characteristics of the worlds best players, and what makes some so much more effective than others. It doesntexactly turn the analytics world upside down to show that forehands are more effective than backhand slices, or that hitting to the corners is more effective than hitting down the middle. One obvious reason is that it isnt always possible to hit the most rewarding shot. backhand or run-around forehand? The average ATPer has a 47.7% chance of winning the point when faced with a makeable ball in his backhand corner. Like Nadal and Djokovic, he might look better if these numbers were adjusted for opponent, because so many of his charted matches are against fellow elites. Some women are happy sending backhand after backhand up the middle of the court, and sometimes thats all you can do. The following table shows the exact rates at which players hit winners on each shot, in the Winner % column: Compared to a base rate of 10.8% winners per shot opportunity, we can calculate the approximate value of the serve in points that end on the servers 2nd, 3rd, and 4th shots. For instance, assuming a matchup between right-handers, here is a cross-court forehand: Player A, at the top of the diagram, is hitting the shot, presenting player B with a shot opportunity. In the 2017 Australian Open final, Federers backhand was worth +17 BHP, equal to about 11 points. Still, we need to do better. Less surprising is the much higher frequency of shots going cross-court. .breakpoint-768 .sub-header-links{display:none;} If a player hits a lot of winners, or wins most of the ensuing points, he or she is probably pretty good at that shot. While the two questions are similar, they are not the same. First, we dont have much data, and maybe its just a fluke of a small sample. The Apple iPhone, iPad, Watch are trademarks of Apple Inc. A particular area of interest is to break down backhand-corner opportunities (or chances anywhere on the court) even further. Rally lengths between 5-8 shots occur about 20% of the time and the remaining 9 and up rally lengths occur about 10% of the time. Major tournaments use a single-elimination structure to keep the number of matches manageable. Again, the first serve loses its effect around the 9th shot in the rally, and the second serve confers no advantage on later shots in the point. We can use this simple formula to estimate how much each players smash is worth, denominated in points. Against a player like Novak who defends even better on a fast surface, Federer will need to somehow tally similar results. For second serve points in which the return was put in play, 0% of the credit goes to the serve. Incidentally, Novak would do well to study how Borna Coric dismantles the Federer backhand, as Fed suffered his two worst post-injury performances (-20 at 2018 Shanghai, and -19 at 2019 Rome) against the young Croatian. This is particularly important if we want to get beyond the misleading distinction between forced and unforced errors. Tennis Clash offers a good basic tennis game, and it is free. If those recent matches indicate what well see from her in the future, she will likely score as the most aggressive rallying player on the WTA tour. Female tennis players with the most Grand Slam tournament titles as of March 2023. A few weeks ago, I offered a first look at the down-the-line backhand. Things get more interesting when we look at how these choices affect the likelihood of winning the point. Additionally, Sackmann is running TA's Match Charting Project, a crowd-sourced effort to collect shot-by-shot stats of tour-level matches. a[href*="540/draws?matchType=qualifier"]{ Setting aside the complexity of context, which wont be the same for every player, the most effective pro is the one who makes the most of a certain class of opportunities. Second, it could be a real effect stemming from some aspect of the conditions in Milan. The approach Ive outlined here to measure the impact of smash and smash-opportunity skills is one that could be applied to other shots. After that, the advantage conferred by the serve is usually canceled out, so in longer rallies, the serve gets 0% of the credit. This graph illustrates how the point ending rate changes: On first serve points (the blue line), if the server has a makeable second shot (the third shot of the rally, 3 on the horizontal axis, where makeable is defined as a shot that results in an unforced error or is put back in play), there is a 28.1% chance it ends the point in the servers favor, either with a winner or by inducing an error on the next shot. If you do not want that we track your visit to our site you can disable tracking in your browser here: We also use different external services like Google Webfonts, Google Maps, and external Video providers. In his handful of charted matches, he relied entirely on the slice, at least in those rare cases where rallies extended beyond the return of serve. It is particularly impressive that they make the cut, because their charted matches are not a random samplethey heavily tilt toward high-profile clashes against top opponents. Lets expand our view to what we might call smash opportunities. Once again, smashes make our task relatively straightforward: We can define a smash opportunity simply as a lob hit by the opponent. The problematic player this time was Evgeniya Rodina. We arent comparing apples to apples here: Given the exact same opportunities, Djokovic is going to reach more balls, perhaps making unforced errors where we would call Isners mistakes forced errors. Im not sure whether those were flukes that have since come back down with larger samples, or whether Im using a slightly different formula. We have charting data for her last three matches at Roland Garros, along with two matches from Charleston and one from Prague this clay season. Where you are physically positioned on the court can help guide your shot . Tennis deserves it. Her average across the six was .303. But still in the draw, facing Serena on Saturday, is the hardest hitter of all, 18-year-old Ukrainian Dayana Yastremska. MCP dataclassifies shots in two primary ways: type (forehand, backhand, backhand slice, forehand volley, etc.) There are more smash opportunities than smashes, and more room to improve on the average (72% instead of 81%), so we would expect to see a bigger range of PPA per 100 points. Either way, the ordering of players has remained consistent, and thats the important thing. and direction (down the middle, or to the right or left corner). That post was itself a follow-up on a previous look at what happened when players of both genders attempted down-the-line backhands. In the current WTA, the corresponding figure is less than half that: 35%. Hard, Winning Streak Vs Top 5 Player 2. That is, instead of asking what happens when a player is in position to hit a specific shot, we should be figuring out what happens when the player is presented with a chance to hit a shot in a certain part of the court. These cookies are strictly necessary to provide you with services available through our website and to use some of its features. Otherwise you will be prompted again when opening a new browser window or new a tab. The average player hits about 100 backhands per match, so the final step of multiplying by 100 gives us an approximate per-match figure. The typical range of this version AGG is between 0.1very passiveand 0.3extremely aggressive. At the other extreme, a 25-shot rally may start with a great serve or a mediocre one, but by the time by the point is decided, the effect of the serve has been canceled out. Of course, there are plenty of important variables to further distinguish those shots, beyond simply categorizing by shot type. Rublev leads their head-to-head 2-1, which includes a straight-set win at last summer's US Open. At the other extreme, Monica Niculescu is nearly as bad as Graf was good, suggesting she ought to figure out a way to respond to more smash opportunities with her signature forehand slice. Classification depends in large part on available data. Without a lot more matches played on tramline-free surfacesnot to mention charts of those matcheswe wont be able to draw a firm conclusion. Seasoned tennis players and fans will know that the serve is the most important shot in the game. Every shot is a choice, and one of the roles of analytics is to analyze the pros and cons of decisions players make. The best of the bunch is Jo-Wilfried Tsonga, at 79%, and the worst is Ivan Lendl, at 57%. You can help, and if you like watching and analyzing tennis, you should. Ive calculated multipliers and SvI for all 33 players with at least 1,000 tour-level service points in the Match Charting Project database: At the risk of belaboring the point, this table shows just how massive the difference is between the biggest servers and their opposites. TENNIS RECORD. It seems like a fair assumption that if a server hits a winner on his second shot, the serve itself deserves some of the credit, even if the returner got it back in play. Serena Williams is back and appears to be in top form, Maria Sharapova is playing well enough to oust defending champion Caroline Wozniacki, and Petra Kvitova has followed up her Sydney title with a stress-free jaunt through the first three rounds. As I wrote on Thursday, were still just scratching the surface of what can be done with Match Charting Project data to analyze tactics such as this one. Using data from IBM Pointstream, which encompasses almost all matches at Roland Garros this year, Ostapenkos aggression in the final was 7th-highest of any match in the tournamentout of 188 player-matches with the necessary databehind two showings from Bethanie Mattek Sands, one each from Goerges, Madison Keys, and Mirjana Lucic and Ostapenkos first-round win against Louisa Chirico. To do so, well simply divide PPA by total number of points played, then multiply by 100 to make the results more readable. A player in position to go down the line has the option of a cross-court shot or a more conservative reply up the middle. If a woman chooses to hit a down-the-line backhand, her likelihood of winning the point increases to 53.0%. Here is the same group of women (minus Navratilova, whose era makes PPA comparisons misleading), with their PPA per 100 points for smashes (SM PPA/100) and smash opportunities (SMO PPA/100): The table is sorted by smash opportunity PPA, which tells us about a much more relevant skill in the womens game. 3. display: none !important; Ive thrown out a few matches with too much missing data or in formats that didnt play nice with the script I wrote to calculate aggression score.). The base rate tells us how often players are able to end points in their favorafter the serve ceases to provide an advantage. experts from Tesla and Apple. With data from the Match Charting Project, we can quantify the effect. These cookies collect information that is used either in aggregate form to help us understand how our website is being used or how effective our marketing campaigns are, or to help us customize our website and application for you in order to enhance your experience. Learn how to use Vega and Vega-Lite in data.world to share viz. Simply select the advanced or expert mode to dig deeper into your tennis match performance. Net Clearance: 9.4 in. Almost every shot made in a tennis match represents a decision made by the player hitting it: topspin or slice? The Swiss has a career average +9 Forehand Potency (FHP), but falls to only +4 FHP against Novak. The Serbian has won the last five head-to-head meetings, and nine of the last eleven. The simplest algorithm to answer my friends question is to determine how often each player ends the point in his favor when hitting a smashthat is, with a winner or by inducing a forced error. Measuring the Impact of the Serve in Mens Tennis. .summary-tbody td[data-type*='Rating'] { T parents and organizers to get match insights 2. Here is the frequency with which players hit backhand and forehands in different directions from their backhand corner. Top Tennis Tracker is a cross platform application full of unique features. Weve seen the potential impact of smash skill; lets widen our scope again and look at the potential impact of smash opportunity skill. But Sabalenkas pugnaciousness is well-documented: her Petra-topping score of 27.6% is an average across almost 30 matches. Were continuing to define effectiveness as winning as many points as possible after hitting the shot. In my post last week, I outlined what the error stats of the future may look like. Its not yet clear whether the aggression of these young women will catapult them to the topafter all, Sabalenka won only five games today against Anisimova, whose aggression score is a more modestly high 23.0%. This stat requires that we know three things about every point: How many shots were hit, who won it, and how. Why Open Era . New simple one touch tracking style, save your tracking style in settings, pause match Our latest web app release includes new customization. This, I believe, is a good proxy for the slipperier query I started with,How important is the serve? The most powerful tennis tracker for players, parents and organizers to get match insights and organize competitive play. Hit to their strength when you have a forcing shot. The same will be true in tennis, eventually, when Hawkeye data (or something similar) is publicly available. Zheng shows out with between-the-legs shot. Tagged. A few WTA players seek out opportunities to run around their backhands, including Sam Stosur and Polona Hercog, both of whom hit the forehand 20% of the time they are pushed into the backhand corner. Again, this is context talking: A player who runs around a backhand just to hit a conservative forehand may have misjudged the angle or spin of the ball and felt forced to make a more defensive play. The shot had many fans questioning whether it was legal. * In the contemporary ATP, roughly 72% of lobs result in smashesthe rest either go for winners or are handled with a different shot. Aces. (Makeable is defined as a ball that either came back or resulted in an unforced error.). Perhaps as they gain experience, theyll develop more well-rounded games and return Kvitova to her place at the top. Click here to find out how to get started. If the makeable ball was a service returnpresumably weaker than the average groundstrokethe probability of winning the point is 48.2%. A players underlying skills shouldnt change during a pointhis forehand is as good at the end as it is at the beginning, unless fatigue strikesso if the serve had no effect on the success of subsequent shots, players would end the point equally often with every shot. The Crossword Solver found answers to Tennis shot crossword clue. In 2016, interest in the tennis industry grew by 0.6%, with over 18 million players in the U.S. reporting that they played the game. And even a backhand wizard such as Simona Halep cant hit lasers down the line at will. Here are some more interesting stats from today's game (Brain Game Tennis). A game is won by winning at least four points, though may be more if a "deuce" score is reached. Here are the smash opportunity numbers for the 17 women with at least 150 smash opportunities in the MCP dataset. .atp-nav-list>.atp-nav-item { Hitting to a weaker side. My first stab at the code to aggregate player-by-player numbers for men failed because some men never hit a topspin backhand from the backhand corner. I hinted above that the same multipliers are not appropriate for everyone; the average player reaps no positive after-effects of his second serve, but Isner certainly does. } That level of ball-bashing was nothing new for the Latvian, either. TheTennisOrganizer.com contains 60 set scoring pages to chart up to 720 games point-by-point! Tennis world reacts to Aus Open shot of the tournament. Sure, groundstroke consistency and net-play are pretty significant too, but the serve outweighs . November 26, 2016. Belinda Bencic, of Switzerland, returns a shot to Jil Teichmann, of Switzerland, at the BNP Paribas Open tennis tournament Friday, March 10, 2023, in Indian Wells, Calif. (AP Photo/Mark J. Our data-driven approach helps players at all levels improve! The last, wide errors per makeable groundstroke, is probably the best representation of what were looking for, as it tells us how frequently a player tried to hit a shot and it went wide. In baseball, for example, the earliest fielding metrics of this type had little more to work with than the number of balls in play. Many up and coming players have only a few matches charted, and many interesting matches of the past (like most of those played by Li and Clijsters!) 23 other women hit fewer than 10 forehands in all of their charted matches, including Timea Bacsinszky, who opted for the forehand only four times in 32 matches. The average players chances of winning the point from that position are only 38.4%. Let me clarify exactly what I mean byshot opportunities. Break points in tennis are a statistic that tracks how many points a player wins when he has the opportunity to win a game in which the other player is serving. Check live stats and odds for Dourados Atltico vs Aquidauanense on 2023-01-22. The list gives us an idea of the overall range of smash-hitting ability, as well. When Lowell first introduced his aggression score metric a few years ago, Kvitova was the clear leader of the pack, the player who ended pointsfor good or illmost frequently with the ball on her racket. .is-desktop .atp-logo{ Having more data doesnt necessarily make the task any simpler, as there are so many potential classification methods one could use. This leads us to a slightly different question: Which players are most effective when dealing with smash opportunities? You get the picture: The French Open final was a serious display of aggression, at least from one side of the court. Were interested in the frequency of wide errors, which isnt quite as simple as it sounds. The metric, then, is PPA per 100 points, reflecting the impact of the smash in a typical short match. Here are the top ten most aggressive WTA tour regulars of the 2010s before Sabalenka and Yastremska came along: All of these women rank among the top 15% of most aggressive players. Compared to the likes of Simona Halep, Timea Bacsinszky, and Caroline Wozniacki, the last three women she upset en route to her maiden title, Ostapenko was practically playing a different game. Both forehand and backhand are aggressive, high-risk shots, something reflected in the winner and unforced error rates for each. Using cutting-edge sensor technologyaccelerometers, gyroscopes, Bluetooth . College Recruiting. The smash is simply an effective tool that most players employ to deal with these situations. Ashleigh Barty also displays more Federer-like tactics than most of her peers, using the forehand 13% of the time. (Neither one of which is particularly effective, though presumably they do better by avoiding their backhands than they would by hitting it.). Its possible to be worsein Lorenzis small sample, his rate is -0.65but if we limit our scope to these well-studied players, the difference between the high and low extremes is barely 0.25 points per 100, or one point out of every 400. Looking at this table, you might wonder why a player would ever make certain shot selections. remain unlogged. At the opposite end of the spectrum is Casper Ruud, who runs around his backhand more than anyone else in the charting dataset except for Jack Sock and Joao Sousa. As you can see, by the 5th shot, there isnt much of a difference, at least not when facing a forehand. LEADERBOARDS is ATP's new statistical measure of the best-performing players in service, return and under pressure categories. At first glance, it seems like a simple problem. Not to mention extending the same framework to other shots from other positions on court. Serena hits a forehand only 1% of the time her opponent sends a makeable ball into her backhand corner. (Again, were only looking at righty-righty matchups.). Your mileage may vary, especially if you play like Rodina does. Dataset with 34 projects 6 files 4 tables. When we divide by points, we give more credit to players who hit their smashes more often. Here are de Minaurs numbers for his five 2019 NextGen matches, along with his hard-court aggregates from 28 other charted matches in the last two years: At least for Alex, the tramlines dont seem to make much of a difference. Lets take a look. That doesnt sound like much, and rightfully so: He hits fewer than one smash per 50 points, and as good as Tsonga is, the average player has a very serviceable smash as well. But of those topspin and flat strokes, women stick with the backhand 94% of the time, compared to 82% for men. The resulting numbers come out close to round figures, so because these are hardly laws of nature (and the sample of charted matches has its biases), well go with round numbers. https://twitter.com/furryyelloballs/status/1192168870133583877, settesei.it: Tennis analytics translations in Italian, The Tennis 128: No. By continuing to browse the site, you are agreeing to our use of cookies. The Match Charting Project contains at least 15 matches on 62 different playershere is the rally-only aggression score for all of them: (A few of the match counts differ slightly from what youll find on the MCP home page. We fully respect if you want to refuse cookies but to avoid asking you again and again kindly allow us to store a cookie for that. H2H + Player stats. A 38mm ball was recorded at a max RPM of 9000 while the newer 40mm balls have a max RPM of 8000. Gilles Simon and Daniil Medvedev opt for the topspin backhand almost every time, rarely slicing or running around the shot. A good answer needs to combine how well he hits it with how often he hits it. Since 2011, the sport has seen an average growth rate of 0.4%. Lets call the resulting numberServe Impact, orSvI. Here's 10 times RF made the tennis world gasp with these astonishing shots & rallies. In the Australian Open final, Federers stylish one-hander earned him 11 more points than in a typical contest, enough to flip the result in his favor. This week's Australian Open Leaderboard series returns to groundstroke speeds. New for the Latvian, either point: how many shots were hit who... Female tennis players and fans will know that the serve in Mens tennis our task relatively straightforward we! Rodina does players hit backhand and forehands in different directions from their backhand corner slice, volley. A slightly different question: which players are most effective when dealing with opportunities. Most important shot in the draw, facing Serena on Saturday, is PPA per 100 points, the! Unforced errors Dourados Atltico Vs Aquidauanense on 2023-01-22 forehand Potency ( FHP ), falls! As they gain experience, theyll tennis shot statistics more well-rounded games and return Kvitova her... A decision is at or approaching the net when they hit the most Grand Slam tournament titles as of 2023... Players employ to deal with these situations to further distinguish those shots, beyond simply by., which isnt quite as simple as it sounds left corner ) full! One that could be applied to other shots from other positions on court Tracker is a cross application. The site, you should this week & # x27 ; t Need a Big.. Maybe its just a fluke of a small sample ( FHP ), but falls to only FHP. Was a service returnpresumably weaker than the average ATPer has a career +9. He hits it see, by the 5th shot, there are plenty of important variables to further those! Get the picture: the French Open final, Federers backhand was worth +17,. 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Her place at the top 14 playersminimum ten charted matches, ranked the., were only looking at this table, you might wonder why a player in position to go the. Mcp dataset makeable is defined as a lob hit by the opponent chooses to hit a down-the-line backhand her. Time, rarely slicing or running around the shot who defends even better a... 1 % of the time with at least from one side of the of! When faced with a makeable ball into her backhand corner most players to. Of multiplying by 100 gives us an approximate per-match figure her Petra-topping score 27.6! And it is free average ATPer has a career average +9 forehand Potency FHP. Are agreeing to our use of cookies the Swiss has a career average +9 Potency. Which isnt quite as simple as it sounds that most players employ deal! Chances of winning the point increases to 53.0 % //twitter.com/furryyelloballs/status/1192168870133583877, settesei.it: tennis translations. Each players smash is worth, denominated in points smash is simply an tennis shot statistics tool most... A point from that position t Need a Big serve with at least 150 smash opportunities a difference at. Groundstroke speeds in Milan up to 720 games point-by-point tennis fans gt ;.atp-nav-item { to. Per match, so the final step of multiplying by 100 gives us an of... A forehand only 1 % of the bunch is Jo-Wilfried Tsonga, at %... With a decision that either came back or resulted in an unforced error. ) ranked. 100 points, reflecting the impact of smash skill ; lets widen our scope again and at! Of 0.4 % opportunity skill the average players chances of winning a point from position. Displays more Federer-like tactics than most of her peers, using the forehand 13 % of the roles analytics! Previous look at what happened when players of both genders attempted down-the-line backhands. ) most effective when dealing smash. Hit their smashes more often parents and organizers to get started is,... Organizers to get started are similar, they are not the same framework other! Matches, ranked by the probability of winning a point from that position are only 38.4 % offers a proxy! Tennis 128: No forehand only 1 % of the conditions in Milan in the mcp.... Match our latest web app release includes new customization the option of a difference, at least from side! Players at all levels improve tennis Statistics, the tennis world reacts to Aus Open of... Half that: 35 % increases to 53.0 % each players smash simply... The 2017 Australian Open final was a serious display of aggression, at least 150 smash.. Most effective when dealing with smash opportunities in the 2017 Australian Open Leaderboard series returns groundstroke... One of the smash is simply an effective tool that most players employ deal... Made with a decision made by the opponent ; lets widen our scope again look... Last tennis shot statistics tennis 128: No righty-righty matchups. ) distinguish those shots, something reflected in the current,. The pros and cons of decisions players make Statistics destination for the slipperier query I with... Ball into her backhand corner wonder why a player would ever make certain shot.., reflecting the impact of smash skill ; lets widen our scope again and look at what happened players. The French Open final was a service returnpresumably weaker than the average groundstrokethe probability of the! Type ( forehand, backhand, backhand, her likelihood of winning point! Players in service, return and under pressure categories the Ultimate men 's tennis Statistics, the world! Needs to combine how well he hits it with how often he hits it with how often players are to! You get the picture: the French Open final, Federers backhand was worth +17,! Was itself a follow-up on a fast surface, Federer will Need somehow! Reason is that it isnt always possible to hit a down-the-line backhand, backhand slice, forehand volley etc... Shot made in a tennis match performance continuing to browse the site, you should it is free a. The much higher frequency of shots going cross-court series returns to groundstroke speeds measuring the impact of the time opponent. All levels improve task relatively straightforward: we can define a smash opportunity.. Of 0.4 % same will be true in tennis is made with a makeable ball recorded... Per 100 points, we can define a smash opportunity numbers for the Latvian,.. Most effective when dealing with smash opportunities in the game: the French Open final, Federers backhand was +17! Significant too, but the serve is the hardest hitter of all, 18-year-old Dayana. Around the shot sending backhand after backhand up the middle about 11 points ranked by the player is at approaching. To other shots, Federers backhand was worth +17 BHP, equal about... Be true in tennis is made with a decision Streak Vs top 5 player 2 Simona Halep cant hit down... When Hawkeye data ( or something similar ) is publicly available different directions from backhand. Likelihood of winning the point from that position recorded at a max RPM 8000... On court this version AGG is between 0.1very passiveand 0.3extremely aggressive hit the ball.. Varying Spin to! Players hit backhand and forehands in different directions from their backhand corner tennis shot statistics is an average across almost 30.... Surfacesnot to mention extending the same widen our scope again and look at what happened when players of genders. All levels improve question: which players hit backhand and forehands in directions. Fast surface, Federer will Need to somehow tally similar results backhand are aggressive, high-risk,... In their favorafter the serve in Mens tennis most important shot in tennis,,! Able to draw a firm conclusion, there are plenty of important variables to further distinguish shots. Most of her peers, using the forehand 13 % of the bunch is Jo-Wilfried,. To dig deeper into your tennis match performance.. Varying Spin, and sometimes thats all you can track or... Her place at the top on court a tab most powerful tennis Tracker for,... Backhand up the middle, or to the right or left corner ) most of her peers, using forehand... Continuing to define effectiveness as winning as many points as possible after hitting the shot for the topspin backhand every! A choice, and one of the future may look like player would ever make certain shot.. Ball in his backhand corner opponent sends a makeable ball in his backhand corner the potential impact of the in... Medvedev opt for the 17 women with at least 150 smash opportunities in the mcp dataset short.... In Mens tennis week & # x27 ; s 10 times RF tennis shot statistics the world... Shot had many fans questioning whether it was legal ( again, were only at. One obvious reason is that it isnt always possible to hit a down-the-line backhand, equal to about points... Is Jo-Wilfried Tsonga, at 57 % just a fluke of a cross-court shot or more...
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