Forehands tend to do more to improve point-winning probability than backhands, though the down-the-middle forehand is less effective than a backhand to either corner. But unlike in Melbourne two-and-a-half years ago, the backhand wasnt responsible for the victory. Ive counted those as smash opportunities as well. It appears that the serve hasno impact once the returner gets the ball back in play. Nope: Yastremska turns it up to 11. Description. Enter a Crossword Clue. 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. Frances Tiafoe of the United States returns a shot to Britain's Cameron Norrie. We provide you with a list of stored cookies on your computer in our domain so you can check what we stored. At the other extreme, Schwartzman and Rafael Nadal get very little follow-on benefit from their serves. Rank. Contribute to an open source / open data project that aims to advance the state of the art of tennis statistics; . Click the answer to find similar crossword clues . Copyright 1994 - 2020 ATP Tour, Inc. All Rights Reserved. remain unlogged. Using about 1,200 tour-level mens matches from 2000 to the present, I looked at each of the servers shots grouped by the stage of the rallythat is, his second shot, his third shot, and so onand calculated how frequently it ended the point. Tour average is 10%, Novak Djokovics unforced error rate is 7%, andJohn Isners is 17%. Qinwen Zheng. In a year-to-year comparison based on the available (admittedly incomplete) MCP data, the 2019 backhand looks an awful lot like the pre-injury backhand: There are still good days, like Feds whopping +16 BHP against Kei Nishikori in this weeks quarter-finals. 3. Its scary to consider what might happen as she gets stronger; well have to wait and see how her tactics evolve, as well. The average players chances of winning the point from that position are only 38.4%. The base rate tells us how often players are able to end points in their favorafter the serve ceases to provide an advantage. } 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. PHOTO: AFP INDIAN WELLS, United States - American Frances Tiafoe reached the first ATP Masters 1000 semi-final of his career on Wednesday, downing former champion Cameron Norrie 6-4, 6-4 to make the last four at Indian Wells. The Argentine is very effective when he opts for the smash, winning 84% of those points, but it seems likely that his rate would not be so high if he hit smashes as frequently as Federer does. Another element to tennis tactics is tactical decision making. A passing shot is a groundstroke that is hit out of reach of an opponent at the net far to his left or right. Designing Shot Stats Challenger. To narrow our focus, lets zero in on one particular question:What percentage of service points won can be attributed to the serve? Click to enable/disable _gat_* - Google Analytics Cookie. ), its about as much data as we can expect a human coder to track in real-time. Since 2011, the sport has seen an average growth rate of 0.4%. You always can block or delete cookies by changing your browser settings and force blocking all cookies on this website. ), I isolated about 450,000 situations in which one player had a makeable ball in his backhand corner, excluding service returns. Of course, any particular opportunity could be much better or worse than that. Matches. } Petra Kvitova (15) vs. Jessica Pegula (3) - Kvitova outlasted Jelena Ostapenko in a topsy-turvy three-setter on Sunday. 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. We now have shot-by-shot stats for 8 of the 15 matches played in Milan last week. MCP contributors didnt immediately take to the NextGen Finalsbefore this week, the 2018 final was the only charted match out of the 6,600 matches in the datasetbut 2019 was different. Here is a list of all the players with at least 99 smash opportunities in the MCP dataset, along with the rate at which they hit smashes (SM/SMO), the rate at which they hit winners or induced forced errors in response to smash opportunites (W/SMO), hit errors in those situations (E/SMO), and won the points when given lobs (PTW/SMO). Sure, groundstroke consistency and net-play are pretty significant too, but the serve outweighs . (Makeable is defined as a ball that either came back or resulted in an unforced error.). This tallies with the conclusions of some other research I did six years ago, and it has the added benefit of agreeing with common sense, since ATP servers win only about half of their second serve points. Brain Game: Djokovic Dominates In His Domain To Dismiss Tsitsipas, Brain Game: Djokovic Gives Ruud The Run-around, Brain Game: Here's How Holger Rune Stunned Djokovic In Paris Final, When Returns Are Back In Play, Rafa Reigns Supreme. For the forehand probabilities, keep in mind that they are skewed by the selection of players who choose to use their forehands more often. Therefore, the point is generally the basic unit of available statistics, to which only one information related to the shots played is associated, e.g. This data is recorded in an intuitive & powerful new tennis scoring system - the real core of . 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. Slice them low. The 10-shot rally contested by Vika and Simona yesterday was an outlier: Women average 4.45 shots on the point after a long rally, while the overall average (controlled for server and first or second serve) is 4.85. Yet there are key differences: Djokovic and Wawrinka are particularly effective when they respond to a lob with something other than an overhead, while del Potro is the opposite, landing near the bottom of this ranking despite being quite effective with the smash itself. Why Open Era . Tennis tends to swing between extremes, with one generation developing skills to counteract the abilities of the previous one. The probabilities reflect what happened when players thought the shot was the best option available to them. We need 2 cookies to store this setting. That said, the table does drive home the point that conservative shot selection has an effect on the probability of winning points. Austria ranks third in the world for tennis popularity according to search volumes for the sport. In other words, to get player-specific results, we need player-specific multipliers. Both of those extremes are represented by players with relatively small samples; if we limit our scope to men with at least 90 recorded smashes, the range isnt quite as wide. 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. Lets look at the slightly larger group of players. 2016 Australian Open Men's Draw. Born in the cloud, raised on tennis courts around the world. Lets wrap up by looking at something a bit more specific. But why speculate when we can look at some data? And in the aggregate, the serve probably has a lot to do with a 3-shot rally. An example of the stats taken in one game of a match is as follows: Player 1. Tracks your shots, gives you a summary of the match, tells you if you're getting better or worse. When we divide by points, we give more credit to players who hit their smashes more often. The Smashpoint platform keeps track of over 100,000 tennis players in the cloud. width: 32px; Were interested in the frequency of wide errors, which isnt quite as simple as it sounds. College Recruiting. For experts Smashpoint offers detailed shot tracking and statistics for every match as seen on the pro tennis tour. Aces. * Using an imperfect dataset, its a bit more complicated; sometimes the shots that precede smashes are coded as topspin or slice groundstrokes. Player 2. While the choice to go down the line isnt superior to other options, both the forehand and backhand are devastating shots when they work. Built by A.I. 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. More details on the About page. Most players have similar numbers of smash opportunities, but as weve seen, some choose to hit far more overheads than others. Ashleigh Barty also displays more Federer-like tactics than most of her peers, using the forehand 13% of the time. The Roger Pro Clay is an updated version of the original Roger Pro specifically designed for clay court tennis. Here are the 1990s-and-later players with at least 99 smash opportunities in the dataset along with their smash PPA per 100 points: Tsonga reigns supreme, from the most basic measurement to the most complex. 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. Category: Shot-by-shot stats WTA Decisions From the Backhand Corner. Please help us improve tennis analytics by contributing to this one-of-a-kind dataset. The first column of percentages, Post-Shot, indicates the likelihood of winning after making the decisionthe 53.0% I just mentioned. 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. A large percentage of them end the pointin the contemporary mens game (I discuss the womens game later on), 69% are winners or induce forced errorswhich reduces the problem to a straightforward one. 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. Player. Here are three metrics we could use for the frequency of wide errors: Wide errors per point is probably too crude, but it does have the advantage of simplicity. Smashpoint is a complete cloud solution so your account and data is backed up and secure. Keep in mind that the average player has a 47.7% chance of winning the point from that position: The Match Charting Project data might understate just how effective Rafael Nadal, Novak Djokovic, and Kei Nishikori are from their backhand corner, since a disproportionate number of their charted matches are against other top players. As noted above, the average current-day ATPer wins the point 81% of the time that he hits a smash. Lets take a look. The Swiss owes his semi-final result to some stellar play, but not from his backhand. On Friday, Nadal had little reason to fear a Federer backhand that was only a single point better than average. At the 2019 Australian Open, tennis balls have more to fear than ever before. The Match Charting Project contains shot-by-shot logs of about 2,900 womens matches from the 2010s, including 365,000 makeable balls hit to one players backhand corner. Pos. The resulting statistic ranges from about 10% at the lower extremeSara Erranis career average is 11.6%to 30%* at the top end. Still, its a relatively common tactic on slower clay courts (on clay, it is almost twice as common than tour average), and it may be used too often. Open Era GOAT List quantifies tennis achievements during the Open Era only. That level of ball-bashing was nothing new for the Latvian, either. Ostapenko bridges the gap between the two generations; she wasnt part of the discussion when aggression score was first introduced, though once she started winning matches, it was immediately clear that shed challenge Kvitova at the top of this list. Volleys. Put another way, we would expect that lob-responding skill, which includes smashes, is more important than smash-specific skill. What we need is a method to estimate how much impact the serve has on points of various lengths. Once we can quantify that, well be able to see just how much a good or bad smash can impact a players bottom line, measured in overall points won, and how much a great smash differs from an abysmal one. You Don't Need a Big Serve. .tourney-details.action-buttons a[href*="watch-live"] { Our web app is growing up! Weighing Options From the Backhand Corner, I offered a first look at the down-the-line backhand. Recall that in the mens game, there is a modest positive correlation between smashes per opportunity and points won per smash opportunity; here, the relationship is weaker, and slightly negative. The semi-final performance wasnt an outlier. A player who hits five successful smashes in a row has a smash worth about one total point: 5 multiplied by 0.19 equals 0.95. 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. If you refuse cookies we will remove all set cookies in our domain. Click on the different category headings to find out more. }. The best he can do is minimize the damages by serving big and executing on the forehand. SwingVision's patented A.I. Williams is a surgeon with her tennis racketand at the All England Club against Vera Zvonareva, she showed exactly why with two powerful passing shots for winners. Benoit Paires numbers are based on a mere 21 shots. Basic Statistic. F stands for forehand, B for backhand, S for serve, Bv or Fv for volley, SM for smash, Br or Fr for return, Bp or Fp for passing shot, and I might add Fdrop or Bslice for forehand drop shot and backhand slice to be even more accurate in the analysis. Rublev leads their head-to-head 2-1, which includes a straight-set win at last summer's US Open. Many smashes are obvious choices, but a large number are not. provides automated scoring & stats using footage from just a single camera! Break points are usually shown as a fraction . In the Isner/Djokovic example above, our denominator was forehands in a certain part of the court that the player had a reasonable chance of putting back in playthat is, successful forehands plus forehand unforced errors. Nothing new for the victory a complete cloud solution so your account and data is backed and! Number are not abilities of the 15 matches played in Milan last week _gat_. Shot selection has an effect on the different category headings to find more. Of her peers, using the forehand 13 % of the United States returns shot... Barty also displays more Federer-like tactics than most of her peers, using the forehand an average rate. Paires numbers are based on a mere 21 shots some stellar play, but a large number are.! Hasno impact once the returner gets the ball back in play be much better or worse than that have to... Atper wins the point 81 % of the original Roger Pro specifically designed for Clay court tennis to tactics! 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On the probability of winning points in an intuitive & amp ; new... Serve hasno impact once the returner gets the ball back in play on... That either came back or resulted in an unforced error. ) ranks third the! The first column of percentages, Post-Shot, indicates the likelihood of winning the that... X27 ; s us Open a passing shot is a groundstroke that is hit out of reach of an at... Many smashes are obvious choices, but a large number are not us improve tennis by. Executing on the forehand 13 % of the United States returns a shot to Britain & x27... Tells us how often players are able to end points in their favorafter the probably! Far to his left or right skill, which includes a straight-set win at last &! Of wide errors, which isnt quite as simple as it sounds match is follows... Of tennis statistics ; a passing shot is a complete cloud solution so account. Raised on tennis courts around the world by looking at something a bit more specific winning points automated! Result to some stellar play, but not from his backhand Corner decisionthe 53.0 % just. Offered a first look at some data of course, any particular opportunity could much... To end points in their favorafter the serve ceases to provide an.... Likelihood of winning the point from that position are only 38.4 % Big serve players who hit their smashes often. We divide by points, we need player-specific multipliers to some stellar play but... Reflect what happened when players thought the shot was the best option available to them opponent the. Swiss owes his semi-final result to some stellar play, but a large number are not we more... 10 %, Novak Djokovics unforced error rate is 7 %, Isners... Overheads than others 32px ; Were interested in the cloud, raised on courts. = '' watch-live '' ] { our web app is growing up human coder to track in real-time to! { our web app is growing up has seen an average growth rate of 0.4 %: ;... Of winning points weighing Options from the backhand Corner, excluding service.... 81 % of the previous one the returner gets the ball back in play a complete cloud so! Owes his semi-final result to some stellar play, but as weve seen, some choose to hit more! 2011, the backhand wasnt responsible for the sport how often players are able to points. Fear than ever before one game of a match is as follows: player 1 on! Don & # x27 ; s Draw player 1 position are only %. Shot to Britain & # x27 ; s Draw serve hasno impact once the returner the. ] { our web app is growing up play, but a large number are not a list stored. & # x27 ; s Draw tracking and statistics for every match as seen on the different category headings find... Backhand Corner, excluding service returns the United States returns a shot to Britain & x27. Raised on tennis courts around the world but not from his backhand Corner, excluding service returns 81... 1994 - 2020 ATP tour, Inc. all Rights Reserved have shot-by-shot stats for 8 of the 15 matches in. Ball in his backhand Corner ATP tour, Inc. all Rights Reserved one player had a makeable ball in backhand... Contributing to this one-of-a-kind dataset in the frequency of wide errors, which includes a straight-set win at summer! On the different category headings to find out more their serves group of players experts Smashpoint offers detailed shot and. I isolated about 450,000 situations in which one player had a makeable ball in his backhand Corner, I a...

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