The Oddity of Naomi Osaka’s Soft Second Serves

Italian translation at settesei.it

Naomi Osaka has quickly risen to the top of the women’s game on the back of some big hitting, especially a first serve that is one of the fastest in the game. Through Thursday’s semi-final, Osaka’s average first-serve speed in Melbourne was 105 mph, faster than all but two of the other women who reached the third round. Even those two–Aryna Sabalenka and Camila Giorgi–barely edged her out, each with average speeds of 106.

Shift the view to second serves, and Osaka’s place on the list is reversed. While Sabalenka’s typical second offering last week was 90 mph and Giorgi’s was 94, Osaka’s has been a mere 78 mph, the fourth-slowest of the final 32. That mark puts her just ahead of the likes of Angelique Kerber and Sloane Stephens, both whose average first serves are nearly 10 mph slower.

Osaka’s 27 mph gap is the biggest of anyone in this group. The next closest is Caroline Wozniacki’s 23 mph gap, between her 102 mph first serve and 79 mph second serve–both of which are less extreme than the Japanese player’s. Expressed as a ratio, Osaka’s average second serve is only 74% the speed of her typical first. That’s also the widest gap of any third-rounder in Melbourne; Wozniacki is again second-most extreme at 77%.

The following table shows first and second serve speeds, along with the gap and ratio between those two numbers, for a slightly smaller group: women for whom the Australian Open published at least four matches worth of serve-speed data:

Player          Avg 1st  Avg 2nd   Gap  Ratio  
Osaka             105.5     78.5  27.0   0.74  
Keys              105.2     85.4  19.7   0.81  
SWilliams         103.8     88.6  15.2   0.85  
Barty             102.0     88.2  13.7   0.87  
KaPliskova        101.9     80.5  21.4   0.79  
Collins           101.2     82.2  19.1   0.81  
Kvitova            99.6     91.6   8.0   0.92  
Muguruza           98.1     82.5  15.6   0.84  
Pavlyuchenkova     97.9     84.5  13.4   0.86  
Sharapova          97.9     89.6   8.2   0.92  
Svitolina          97.6     78.2  19.4   0.80  
Stephens           96.1     75.1  21.0   0.78  
Halep              95.3     80.9  14.4   0.85  
Kerber             94.0     78.4  15.7   0.83

Oddly enough, having such a slow second serve doesn’t seem to be causing any problems. In today’s semi-final against Karolina Pliskova, Osaka won 81% of first serve points and only 41% of second serve points, but her typical performance behind her second serve is better than that. And in this match, both women feasted on the other’s weaker serves: Pliskova won only 32% of her own second serves. (Though to be fair, Pliskova had the second-largest gap of the players listed above. She tends to rely more on spin than speed when her first serve misses.)

Across her six matches, Osaka has won 73.3% of her first serve points and 49.7% of her second serve points–a bit better than the average quarter-finalist in the former category, a very small amount worse than her peers in the latter. The ratio of those two numbers–68%–is almost identical to those of Danielle Collins, Petra Kvitova, Anastasia Pavlyuchenkova, and Serena Williams, all of whom have smaller gaps between their first and second serve speeds. Of the eight quarter-finalists, Kvitova has the smallest speed gap of all, yet the end result is the same as Osaka’s, she’s just a few percentage points better on both offerings.

Here are the first- and second-serve points won in Melbourne for the eight quarter-finalists, along with the ratio of those two figures and each player’s serve-speed ratio from the previous table:

QFist           1SPW%  2SPW%  W% Ratio  Speed Ratio  
Kvitova         77.9%  52.8%      0.68         0.92  
Williams        74.7%  50.0%      0.67         0.85  
Osaka           73.3%  49.7%      0.68         0.74  
Collins         72.5%  50.0%      0.69         0.81  
Barty           70.8%  55.7%      0.79         0.87  
Pliskova        70.5%  50.0%      0.71         0.79  
Pavlyuchenkova  67.0%  44.9%      0.67         0.86  
Svitolina       66.5%  48.1%      0.72         0.80 

Clearly, there’s more than one way to crack the final eight. With Kvitova, we have a server who racks up cheap points with angles instead of speed, rendering the miles-per-hour comparison a bit irrelevant. Serena’s results are close to Osaka’s, though she gets there with bit more bite on her second serves. And then there’s Svitolina, who doesn’t serve very hard or that effectively but can beat you in other ways.

Knowing all this, should Osaka hit harder second serves? In extreme cases, like today’s 81%/41% performance against Pliskova, the answer is yes–had she simply hit nothing but first serves and succeeded at the same rate, she would’ve piled up a lot of double faults but won more total points. But the margins are usually slimmer, and as we’ve seen, her second-serve performance isn’t bad, it just might offer room for improvement. Every player is different, but faster is usually better.

A thorough analysis of that question may be possible with the available data, but it will have to wait for another day. In the meantime, Saturday’s final will offer us a glimpse of contrasting styles: Osaka’s powerful first offering and soft second ball, against Kvitova’s angles and placement on both serves. Both my forecast and the betting market see the title match as a close one–perhaps Osaka’s second serve will be the shot that makes the difference.

The Naomi Osaka First-Set Guarantee

Italian translation at settesei.it

Today in the Australian Open quarter-finals, Naomi Osaka recorded a routine victory, beating 6th seed Elina Svitolina 6-4 6-1. She’ll face Karolina Pliskova in tomorrow’s semi-final, and she has a chance to finish the tournament as the top-ranked player in the world.

(See the bottom of this post for updates.)

Osaka’s sprint to the finish line against Svitolina was what we’ve come to expect from the 21-year-old. The Eurosport commentators shared a remarkable stat: The last 59 times Osaka has won the first set, she has gone on to win the match. (On Eurosport during the match, they said 57, making today’s win 58, but I believe they left out a 2017 win by retirement against Heather Watson in which the first set was completed.) The last time she failed to convert a one-set advantage into a victory was the final match of her 2016 season, in Tianjin against Svetlana Kuznetsova.

Of course, winning the first set is a big advantage for anyone. If two players are evenly matched and there’s no momentum effect, the winner of the first set has a 75% chance of finishing the job. In the real world, the woman who takes the first set is usually the superior player, so her odds in the second and third sets are even better still. On the 2018 WTA tour, the player who claimed first set went on to win the match 81.5% of the time.

Even if Osaka’s theoretical odds of converting one-set advantages are even higher, 59 matches in a row is one heck of a feat. Only 15 women have an active streak of 10 or more consecutive first-set conversions, and a mere four hold a running streak of at least 20. In addition to Osaka, Aryna Sabalenka has converted 25 straight first-set victories, Qiang Wang has won 27 in a row, and Serena Williams is ready to pounce as soon as Osaka falters, with a current tally of 51. Serena’s string of consecutive conversions stretches over an even longer span, back to April 2016, in Miami. (Remember who came back to beat her? Svetlana Kuznetsova.)

It’s no surprise to see Serena showing up near the top of this list. After several years of looking up various tennis records and streaks, I’ve discovered a few general rules. First, if you think you’ve found a noteworthy recent achievement, Serena did it better. Second, if it involves brushing aside the tour’s rank and file, Steffi Graf was even better than Serena. And third, no matter how impressive Serena’s and Steffi’s feats, the all-time record will belong to either Chris Evert or Martina Navratilova.

The first-set-conversion streak no different. In addition to her current streak of 51 straight, Serena won 61 in a row in 2002-03. That’s two matches and three places above Osaka, but it’s only 37th on the all-time list. Graf converted first-set advantages for more than twice as long, tallying 126 in a row from 1989 to 1991. As impressive as that is, my third rule holds with a vengeance: Evert converted 220 in a row between 1978 and 1981 to earn top billing on this list. Navratilova comes in second, but with the consolation that she holds third place as well. Martina and Steffi are the only women with multiple triple-digit streaks.

Here are the longest first-set conversion streaks held by players in the top 40. Many of these women put together multiple streaks of 60 or more, and in those cases I’ve listed only their longest:

Rank  Player                   Matches     Span     Notes  
1     Chris Evert                  220  1978-81  + 3 more  
2     Martina Navratilova          172  1982-84  + 5 more  
4     Steffi Graf                  126  1989-91  + 3 more  
6     Monica Seles                 112  1991-93  + 1 more  
7     Mary Joe Fernandez           105  1989-91            
8     Pam Shriver                  105  1986-88            
9     Vera Zvonareva               103  2006-08            
12    Martina Hingis                86  1996-97            
14    Arantxa Sanchez Vicario       85  1992-93            
16    Victoria Azarenka             79  2011-13            
17    Maria Sharapova               77  2010-12  + 1 more  
19    Margaret Court                74  1969-77            
21    Venus Williams                73  1999-01            
22    Sue Barker                    70  1973-78            
23    Evonne Cawley                 69  1978-80  + 1 more  
24    Lindsay Davenport             67  1999-00  + 1 more  
25    Tracy Austin                  67  1979-80            
26    Virginia Wade                 66  1975-78            
28    Gabriela Sabatini             65  1990-91            
30    Andrea Jaeger                 64  1981-82            
33    Claudia Kohde Kilsch          63  1986-87            
34    Kerry Reid                    62  1969-77            
37    Serena Williams               61  2002-03            
39    Anna Chakvetadze              60  2006-07            
40    Naomi Osaka                   59  2017-19  (active)

* Unfortunately all of these numbers come with a huge caveat. My historical WTA database isn’t perfect. I know that there are Evert and Navratilova matches missing, along with a handful of later results. For records like this, a single missing match could mean that Evert really had two streaks of 110 each, or any number of other permutations that would render my all-time list incorrect. So please, take these records as unofficial, and maybe the WTA will query their own–presumably more complete–database to produce a better list.

This is good company for the reigning US Open champion, and it looks even better if we narrow our view to 21st-century players. Only five of the women ahead of her on the list are active, and four of those are winners of multiple majors–another club that the 21-year-old could join this week. Her semi-final opponent, Karolina Pliskova, executed her own history-making comeback against Serena today. But if Pliskova finds herself down a set to Osaka, even she may not be enough of an escape artist to fight back against the best front-runner in women’s tennis.

Update: Osaka finished off the 2019 Australian Open with two more first-set conversions. In both the semi-final against Pliskova and the final against Kvitova, she won the the first set and went on to win in three. Thus, her streak is up to 61 and she has matched Serena’s best.

Danielle Collins and Surprise Major Semi-finalists

Italian translation at settesei.it

With a three-set win today over Anastasia Pavlyuchenkova, Danielle Collins became the first woman into the 2019 Australian Open semi-finals. She was already the biggest surprise of the eight quarter-finalists. A week ago, most pundits (myself included) would’ve picked dozens of players more likely to find themselves in the final four.

Collins, a 25-year-old American, has doubled her grand slam match experience at a single tournament. She first made a name for herself as a stellar collegiate player, winning national titles in 2014 and 2016, which earned her wild cards into her first two majors. While she gave Simona Halep a scare by taking a set in their 2014 US Open encounter, no wins resulted from either of the wild cards. After her run to the Miami semi-finals last year, she earned her way into three more slams, but she drew seeds at all three and had to settle for first-round loser’s checks. All told, Collins’s experience at majors amounted to five main draws, five first-round losses, and a couple of wins in qualifying.

There’s simply no precedent for what she has done in Melbourne. She opened by narrowly upsetting 14th seed Julia Goerges, then won six sets in a row to knock out Sachia Vickery, 19th seed Caroline Garcia, and 2nd seed Angelique Kerber, needing barely one hour per match. Today’s contest took a bit longer, but the end result was the same: a 2-6 7-5 6-1 victory over Pavlyuchenkova, who was playing in her fifth major quarter-final.

A berth in a major semi-final with no previous grand slam match wins: that’s something worth a database query. Since 1980, only three other women have done the same: Monica Seles at the 1989 French Open, Jennifer Capriati at the 1990 French, and Alexandra Stevenson in 1999 at Wimbledon. Collins doesn’t exactly fit in with that trio: Seles and Capriati were playing their first majors, and neither had reached their 16th birthdays. Stevenson was 18 years old, playing only her third slam main draw. The closest comp for Collins is found in the men’s game, where 25-year-old Marco Cecchinato reached the semis at Roland Garros last year despite recording no wins in his previous attempts at majors.

Reaching the final four in one’s sixth slam isn’t as rare. 12 different women have done so, including Seles, Capriati, and Stevenson, along with Venus Williams and Eugenie Bouchard. But again, Collins’s time at the University of Virginia sets her apart from this group: all but one were teenagers, and the only other exception, Clarisa Fernandez, was 20 years old when she reached the 2002 Roland Garros semi-final. The least experienced 25-year-old semi-finalist was Fabiola Zuluaga, who made it to the 2004 Australian Open semis in her 17th major, with 22 match wins in her first 16 tries.

History offers few precedents for Collins. While male collegiates such as Kevin Anderson and John Isner have established themselves in the top ten and gone deep at majors, the women’s game has always skewed younger. Yes, the days of 15-year-old sensations like Capriati and Seles are behind us, but the most recent major title went to 20-year-old Naomi Osaka, and the same year that Collins won her first national title for Virginia, Bouchard–who is two months younger than the American–reached the Wimbledon final. The greatest success story in women’s collegiate tennis belongs to Lisa Raymond, who is best known for her exploits on the doubles court.

Perhaps Collins’s success will change that, much as Anderson–whose first major semi-final came at age 31, in his 34th slam–has shown that college can fit in the plans of a would-be ATP star. With 20% of the WTA top 100 in their thirties, there’s more for a late starter to look forward to than ever before. It’s unreasonable to expect that Collins will be a regular feature at the tail end of grand slams, but it’s possible she’ll outdo Raymond, who peaked at 15th in the singles rankings. Next time we see her in the second week of a major, we won’t be so surprised.

Frances Tiafoe’s Narrow Margins

Italian translation at settesei.it

Yesterday, Frances Tiafoe added another breakthrough to his young career with a fourth-round defeat of 20th seed Grigor Dimitrov at the Australian Open. The whole tournament has been a coming-out party for the just-turned 21 year old, as Tiafoe only got this far thanks to an even more impressive upset of 5th seed Kevin Anderson in the second round. The American will see his ranking climb into the top 30 for the first time, and his marketability as a potential superstar will soar even higher.

The role of the statistical analyst is often to stand athwart an exciting trend yelling “Stop!,” and I’m afraid that’s my role today. Yes, Tiafoe is a compelling young player with a lot of potential. Throughout 2018 he repeatedly demonstrated he could hang with the best players in the world, something he further solidified with the win over Anderson last week. But the Dimitrov win, life-changing as it may be, was a bit of a fluke.

In fact, yesterday’s match was–by a couple of simple metrics–less impressive than a lot of his 2018 losses, including a defeat at the hands of Dimitrov in Toronto last year. Across 337 points against the Bulgarian on Sunday, Tiafoe lost more than half of them, winning only 34.7% of his return points compared to Dimitrov’s 39.5%. The resulting Dominance Ratio (DR) for the match is 0.88, a mark that almost never results in victory. (DR is the ratio of return points won to opponent return points won: 1.0 means that the players performed equally, and higher is better.) On the ATP tour last year, more than 92% of winners recorded a DR of 1.0 or better, and 97.4% of winners–that’s 39 out of every 40–won enough points to amass a DR of 0.9.

As I’ve said, many of Tiafoe’s losses have seen him play better. Against Dimitrov in Toronto, his DR was 0.98; versus Anderson in Miami his DR was 0.99 in a straight-set defeat; and even in his routine, 6-4 6-4 loss to Joao Sousa in the Estoril final, his DR was almost as good as it was yesterday, at 0.87. In the range of close-but-outplayed matches–let’s say DRs from 0.85 to 0.99–Tiafoe won 4 of 18 last year, and all but one of the wins were closer than yesterday’s triumph.

The trick to winning a match while tallying fewer than half the total points and a lower rate of return points than your opponent is to play better in the big moments, like break points. The American certainly did that, converting 5 of 13 break opportunities while limiting Dimitrov to only 3 of 18. Execution in tiebreaks also helps, though it didn’t make a difference in yesterday’s upset, as the two men split a pair of breakers. To Tiafoe’s credit, he outplayed the Bulgarian when it mattered most. In that sense, he deserved the victory, no matter what the stats say.

But break point and tiebreak performance tends to even out. Just because the 21-year-old captured lightning in a bottle at a few key moments to win a high-profile match doesn’t mean he’ll be able to do it again. Just as there are almost no players who win tiebreaks any more often than their overall performance would suggest, players with excellent single-year break-point records quickly regress to the mean. It may not be correct to say that Tiafoe was lucky to win yesterday–he may well have kept his focus and maintained his level better than opponent did–but whatever made the difference, it’s not something with predictive power. Next week, next major, or next year, he isn’t any more likely than the next guy to post a DR of 0.88 and come out on top.

Still, I’m not here just to throw cold water on a young player’s prospects. For one thing, had a couple of break points gone the other way yesterday and Dimitrov gotten through, a fourth-result result would still represent an encouraging step forward for the American. His upset of Anderson sported a particularly impressive DR of 1.29–35.1% of return points won compared to Kevin’s 27.2%–which was better than all but ten of Anderson’s matches last year. (Three of those ten came at the hands of Novak Djokovic, and seven of the ten were against top ten players.)

Tiafoe is getting better, and there are plenty of signs that indicate he’s the brightest young star in American men’s tennis. He’s accomplished a lot of things in Melbourne, but outplaying Dimitrov isn’t one of them.

Podcast Episode 45: Australian Open Week One

Episode 45 of the Tennis Abstract Podcast, with Carl Bialik of the Thirty Love podcast, is our attempt to cover the entirety of seven days of grand slam tennis in a one-hour podcast. On the men’s side, we discuss Federer’s vulnerability to an early upset, what to think about Tiafoe and the young American resurgence in general, and some solid under-the-radar performances from Milos Raonic and Roberto Bautista Agut.

We then make some cautious predictions about the Simona-Serena fourth round match and consider whether we should be as excited about Ashleigh Barty as my Elo ratings are. We even talk a bit about doubles, though it’s mostly about why it’s hard to talk about doubles. But don’t worry–we’ll keep trying.

Thanks for listening!

(Note: this week’s episode is about 65 minutes long; in some browsers the audio player may display a different length. Sorry about that!)

Click to listen, subscribe on iTunes, or use our feed to get updates on your favorite podcast software.

The Happy Slam is the Speedy Slam

Italian translation at settesei.it

Two years ago, during the 2017 Australian Open, I offered a partial explanation of the many upsets at that year’s first major. Novak Djokovic, Andy Murray, Angelique Kerber, Simona Halep and many others had been ousted before the quarter-finals, all to players with a more aggressive, attacking style. It turned out that the courts that year were playing particularly fast–quicker than any of the other slams, including Wimbledon, as well as most hard-court tour stops.

In Melbourne this year, the courts are playing even faster.

Through three rounds of play, almost 90% of the tournament’s singles matches are in the books. Based on my surface-speed metric, which measures how many aces are struck at each tournament while controlling for the mix of servers and returners, the 2019 Australian Open can boast the quickest surface at the event since at least 2011*, and the second-fastest conditions of any major in that time span.

* Match stats, even simple ones such as service points and aces, are increasingly tough to come by for the women’s game before 2011.

The average of my surface-speed ratings for the men’s and women’s events at 2019’s first major is 1.28, meaning that there have been 28% more aces than expected, given the mix of servers and returners across the matches played so far. The notably fast 2017 event was 1.23, the fastest US Open of the last eight years was 1.14 (in 2015), and last year’s Wimbledon, played on the surface that is supposed to be fastest of all, was a mere 1.06.

Here are the top ten fastest slam surfaces from 2011 to the present:

Speed Rating Tournament      
1.31     2011 Wimbledon    
1.28     2019 Australian Open* 
1.27     2014 Wimbledon    
1.27     2016 Australian Open 
1.23     2017 Australian Open 
1.20     2015 Australian Open 
1.18     2015 Wimbledon    
1.17     2013 Wimbledon    
1.17     2012 Wimbledon    
1.15     2014 Australian Open

* through first three rounds

Last year’s Aussie Open was a bit of an outlier, but even still, it barely missed this list, coming in 12th at 1.12.

At least most players arrived prepared. The warm-up events in Brisbane and Auckland ranked among the fastest conditions since the beginning of last season: Brisbane rates at 1.29 while Auckland came in at a blink-and-you’ll-miss-it 1.35. Last year, only four events per tour were faster.

In theory, such a speedy surface should work to the advantage of big servers with aggressive games. At least so far, it hasn’t worked out that way. Unlike in 2017, Djokovic, Halep, and Kerber are still in the running, while Kevin Anderson was an early casualty. On the other hand, the court speed does jibe with some results, like Maria Sharapova’s third-round upset of defending champion Caroline Wozniacki.

If the conditions are to impact the result of the tournament, it will have to happen in matches yet to come. A slick surface tends to favor Roger Federer, even if Djokovic remains the popular pick to hoist the trophy next Sunday. More immediately, a fast surface doesn’t bode well for Halep’s chances in her fourth-round match against Serena Williams. Facing Serena is difficult enough without the conditions working against you, too.

Dayana Yastremska Hits Harder Than You

Italian translation at settesei.it

At the 2019 Australian Open, tennis balls have more to fear than ever before. 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.

And then there are the youngsters. Hyper-aggressive 20-year-old Aryna Sabalenka crashed out in the third round against an even younger threat, Amanda Anisimova. But still in the draw, facing Serena on Saturday, is the hardest hitter of all, 18-year-old Ukrainian Dayana Yastremska. Watch a couple of Sabalenka matches, and you might wonder if we’ve reached the apex of aggression on the tennis court. Nope: Yastremska turns it up to 11.

When Lowell first introduced his aggression score metric a few years ago, Kvitova was the clear leader of the pack, the player who ended points–for good or ill–most frequently with the ball on her racket. Madison Keys wasn’t far behind, with Serena coming in third among the small group of players for which we had sufficient data. Since then, two things have changed: The Match Charting Project now has a lot more data on many more players, and a new generation of ball-bashers has threatened to make the rest of the tour look like weaklings in comparison.

The aggression score metric packs a lot of explanatory power in a simple calculation: It’s the number of point-ending shots (winners, unforced errors, or shots that induce a forced error from the opponent) divided by the number of shot opportunities. The resulting statistic ranges from about 10% at the lower extreme–Sara Errani’s career average is 11.6%–to 30%* at the top end. Individual matches can be even higher or lower, but no player with at least five charted matches sits outside of that range.

* Readers with a keen memory or a penchant for following links will notice that in Lowell’s orignial post, Kvitova’s aggregate score was 33% and Keys was also a tick above 30%. I’m not sure whether those were flukes that have since come back down with larger samples, or whether I’m using a slightly different formula. Either way, the ordering of players has remained consistent, and that’s the important thing.

Here are the top ten most aggressive WTA tour regulars of the 2010s before Sabalenka and Yastremska came along:

Rank  Player                      Agg 
1     Petra Kvitova             27.1%  
2     Julia Goerges             26.8%  
3     Serena Williams           26.8%  
4     Jelena Ostapenko          26.5%  
5     Camila Giorgi             26.0%  
6     Madison Keys              25.9%  
7     Coco Vandeweghe           25.9%  
8     Sabine Lisicki            25.6%  
9     Anastasia Pavlyuchenkova  24.0%  
10    Maria Sharapova           23.2%

All of these women rank among the top 15% of most aggressive players. They end points more frequently on their own racket than plenty of competitors we also consider aggressive, like Venus Williams (21.9%), Karolina Pliskova (21.6%), and Johanna Konta (22.3%). Ostapenko bridges the gap between the two generations; she wasn’t part of the discussion when aggression score was first introduced, though once she started winning matches, it was immediately clear that she’d challenge Kvitova at the top of this list.

Here’s the current top ten:

Rank  Player               Agg  
1     Dayana Yastremska  28.6%  
2     Aryna Sabalenka    27.6%  
3     Petra Kvitova      27.1%  
4     Julia Goerges      26.8%  
5     Serena Williams    26.8%  
6     Jelena Ostapenko   26.5%  
7     Viktoria Kuzmova   26.0%  
8     Camila Giorgi      26.0%  
9     Madison Keys       25.9%  
10    Coco Vandeweghe    25.9%

Yastremska, Sabalenka, and even Viktoria Kuzmova have elbowed their way into the top ten. Yastremska’s and Kuzmova’s places on this list might be a little premature, since their scores are based on only seven and nine matches, respectively. But Sabalenka’s pugnaciousness is well-documented: her Petra-topping score of 27.6% is an average across almost 30 matches.

Tennis tends to swing between extremes, with one generation developing skills to counteract the abilities of the previous one. It’s not yet clear whether the aggression of these young women will catapult them to the top–after all, Sabalenka won only five games today against Anisimova, whose aggression score is a more modestly high 23.0%. Perhaps as they gain experience, they’ll develop more well-rounded games and return Kvitova to her place at the top.

In the meantime, we have the privilege of watching some of the hardest hitters in WTA history battle it out. Tomorrow, Yastremska will contest her first third round at a major in a must-watch match against Serena. There will be fireworks, but it’s safe to say there won’t be much in the way of rallies.

A Closer Look at Tiebreak Tactics

Italian translation at settesei.it

In theory, tiebreaks are a showcase for big serving, the skill that generates enough holds of serve to push a set to 6-6. But no matter how two players get there, the tiebreak itself doesn’t always work out that way.

Two examples suffice from Wednesday’s Australian Open action. Roger Federer’s second-round match against Daniel Evans opened with twelve straight service holds, threatened by only one break point. Yet in the tiebreak, which Federer won 7-5, the returner claimed 9 of 12 points. Across the grounds in front of a much smaller crowd, Thomas Fabbiano and Reilly Opelka forced a fifth-set super-tiebreak. Through 52 games and 319 points, Opelka hit 67 aces and the pair averaged 2.9 shots per “rally.” In the match-deciding tiebreak, Opelka hit no aces, Fabbiano got all but one of his serves back in play, and they averaged 5.5 shots per point.

When I started researching tiebreaks several years ago, I found that the balance of power shifts away from the server: returners win more points in tiebreaks than at other points during the set. It’s not a huge effect, accounting for about a 6% drop in server winning percentage, possibly due to the fact that players almost always give 100% on each point, unlike weak returners facing 40-0 in the middle of the set. Sure, Federer-Evans and Fabbiano-Opelka are outliers: even if servers suffer a bit in the typical tiebreak, the whole sport doesn’t usually turn upside down. Still, the effect is worth a deeper dive.

Isner isn’t the only conservative

Let’s start with some overall trends. Filtering for men’s matches from 2010-19, I found 831 tiebreaks with shot-by-shot data from the Match Charting Project. For each set that ended in a tiebreak, I tallied several stats for both tiebreak points and non-tiebreak points, calculated the single-set ratio for each stat, and then aggregated all 831 breakers to get some tour-wide numbers. Here’s what happens to stats in tiebreaks:

  • Service points won: -6.5%
  • Aces: -6.1%
  • First serve in: +1.3%
  • Returns in play: +8.5%
  • Rally length: +18.9%

(Technical note: When aggregating the ratios from all 831 tiebreaks, I weighted by the number of points in each tiebreak, but only up to a maximum of 11. Longer tiebreaks tend to be the ones if which servers are the strongest, like the 17-15 marathon in the first set of Fabbiano-Opelka. If those were weighted for their true length, we’d bias the results towards the best serving performances.)

Judging by the increase in successful first offerings, it looks like servers are a bit more conservative in tiebreaks. The large drop in aces and even bigger increase in returns in play provide additional evidence. Focused returners may be able to erase a small number of aces, but not that many, and they wouldn’t be able to convert so many into successful returns. The nearly 20% increase in rally length can be explained in part by the drop in aces (those one-shot rallies are replaced with more-shot exchanges), but the magnitude of the rally length effect suggests that players are more conservative on both sides of the ball.

More than one way

Not every player handles breakers the same way. Several men, including Federer, serve about as well as usual in these high-pressure situations. Certain others, like Rafael Nadal, appear to be more conservative, but make up for it by feasting on the toned-down offerings of opposing servers. Still others, like the impossible-to-write-about-tiebreaks-without-bringing-up Ivo Karlovic, underperform on both sides of the ball.

Here are the 20 players with the most tiebreaks recorded by the Match Charting Project since 2010. For each one, you can see how their rates of service points and return points won in tiebreaks compare to non-tiebreak situations. For instance, Jo Wilfried Tsonga wins 5.4% more service points in tiebreaks than otherwise, compared to the usual shift of 6.5% in the opposite direction. But Tsonga’s rate of return points won falls 3.4%, while the typical player increases his haul on return by 6.5%.

Player                    SPW    RPW  
Jo Wilfried Tsonga       5.4%  -3.4%  
Roger Federer            0.4%   3.2%  
Stan Wawrinka           -0.1%   4.2%  
John Isner              -0.6%   6.4%  
Novak Djokovic          -0.8%  11.8%  
Andy Murray             -2.2%   8.7%  
Alexander Zverev        -2.7%  18.7%  
Juan Martin del Potro   -3.3%   5.3%  
Nick Kyrgios            -4.1%  10.5%  
Dominic Thiem           -4.6%  12.1%  
----ATP AVERAGE----     -6.5%   6.5%  
Kevin Anderson          -7.1%   8.9%  
Gilles Simon            -8.0%  16.3%  
Tomas Berdych           -8.4%   6.8%  
Milos Raonic            -9.2%   9.1%  
Rafael Nadal            -9.4%  13.6%  
Marin Cilic            -10.2%   5.8%  
Bernard Tomic          -11.3%   4.5%  
Ivo Karlovic           -12.6%  -0.9%  
Grigor Dimitrov        -13.8%   5.1%  
Karen Khachanov        -25.1%  -5.4%

For most players, the goal appears to be to win enough extra return points to counteract the drop in service success. Nadal is the most extreme example, winning almost 10% fewer service points than usual, but doing even more damage to his opponents. Alexander Zverev is the most impressive of the bunch, dropping his serve level only a bit, while converting himself into a Rafa-like returner. As you might expect, his tiebreak record is outstanding, winning far more than expected last season. We’ll see whether his eye-popping numbers persist.

A winning strategy

Ideally, I would wrap up a post like this with a recommendation. You know, analyzing the various approaches, based on these numbers, we can confidently say that players should….

It’s not that easy. It’s hard enough to identify which players are good at tiebreaks, let alone why. As I’ve written many times before, tiebreak results are closely related to overall tennis-playing skill, but not to serving prowess or excellence in the clutch. In any given season, some players amass outstanding tiebreak records, but their success one year rarely translates to the next. At various times in the past, I’ve highlighted Federer, Isner, Nadal, and Andy Murray as players who defy the odds and consistently outperform expectations in tiebreaks, but even they don’t always manage it. Isner, the poster boy for triumph via tiebreak, won slightly fewer breakers than expected in both 2016 and 2018.

Still, let’s look at these four guys in the light of the shot-by-shot data I’ve shared so far. Federer, Isner, and Murray are in the minority of players who hit more aces in tiebreaks than otherwise. However, it it doesn’t necessarily mean they are much more aggressive; of the the three, only Federer makes fewer first serves than usual. Isner manages to reduce the number of returns in play by 10%, compared to non-tiebreak situations, while the other two do not. Nadal breaks the mold entirely, making 6% more first serves than usual and hitting barely half as many aces.

In other words, there’s no single path to success. Federer and Isner maintain their superlative serving while taking advantage of their opponents’ nerves or conservative tactics. (I’ve previously suggested that the difference in serve points won comes from players like Isner upping their return game in pressure situations. He does, but not any more than the average player.) Nadal plays to his own strengths, forcing players into rallies from both sides of the ball. There may be some quality that ties these four men together (like focus), but we’re not going to find it here.

Mackie McDonald’s Secret Weapon

Italian translation at settesei.it

In the first round on Monday, the 23-year-old American Mackenzie McDonald defeated young Russian Andrey Rublev in four sets, 6-4 6-4 2-6 6-4. While Rublev missed part of the 2018 season due to injury and carries a ranking just inside the top 100, the victory still qualifies as a bit of an upset for McDonald, who has never come close to Rublev’s peak of No. 31.

The handful of fans who kept tabs on Court 10 were treated to an unusual display. The American relentlessly attacked Rublev’s second serve, rushing the net behind his return almost two dozen times. Many players don’t hit return approach shots that often in an entire year. What’s more, the tactic worked. Without it, the already close match would have been a coin flip.

By my count, in the log I kept for the Match Charting Project, McDonald came in behind his second serve return 22 times. Approach shot counts are never precise, because when a player hits a winner or an error, he may lean forward as if to continue toward the net, but quickly stop when he realizes it’s unnecessary. To be precise, he came in at least 22 times, and perhaps one more return winner or a couple of return errors should also be added to the total. No matter, the conclusions are similar regardless of whether the number is 22 or 24.

Rublev hit 62 second serves, but 9 of those resulted in double faults, so we’re looking at 53 playable second serves. McDonald netrushed 22 of those, winning 10. Of the other 31, he won only 11. That’s a return winning percentage of 45% on return approaches compared to 35% on other returns. Had he won all of those points at the 35% rate, it would have cost him two, perhaps three points off his overall total. He barely outscored Rublev as it was, 124 points to 118, so every little bit helped.

A rarity in context

The Match Charting Project has shot-by-shot data for nearly 2,000 men’s matches from this decade, and Monday’s four-setter was the first one of those in which a player hit at least 20 second-serve return approaches. (Dustin Brown approached at a higher rate in multiple matches, including his 2015 Wimbledon upset of Rafael Nadal.) There are only ten other matches in the database in which one player hit at least ten such approaches, and Mischa Zverev accounts for three of them. More than three-quarters of the time, the total number of second-serve return approaches is zero.

McDonald is not alone in enjoying some success with the tactic: The 1500 or so second-serve return approaches in the dataset were about 14% more effective than non-approaches in the same matches. However, it’s hard to be sure what that number is telling us, since most players approach so rarely. Some of the attacks are probably on-the-fly decisions against particularly weak serves, not pre-planned plays like many of Mackie’s netrushes on Monday.

Thus, it’s difficult to know how much success most men would have with the tactic, were they to adopt it more often. The fact that they employ it so rarely might tell us all we need to know: If more players thought that attacking the net behind the second serve return would win them more points, they’d do it. But for McDonald, it doesn’t matter what his peers do; it only matters what works for him. These 22 return approaches represented a lot more aggression than he displayed in the four previous matches we’ve charted, and it paid off.

It wasn’t enough to get him a win today against Marin Cilic, but he did outperform expectations, taking a set against the 6th seed and defending finalist. Best of all, he won more than half of Cilic’s second-serve points–a better rate than he managed against Rublev, and several ticks above 46%, the fraction that the average opponent manages against Cilic. In a sport often criticized for its uniformity of tactics, McDonald is an up-and-comer worth watching.

Watch Out For Tomas Berdych

Italian translation at settesei.it

For years, Tomas Berdych has flown beneath the radar. Even when he spent several seasons in the top ten, he rarely challenged the big four, picking up his 13 career titles against weaker competition. His quarter-final showing at last year’s Australian Open was surprising, but it was also symbolic of his entire career: a couple of nice wins followed by a straight set loss to Roger Federer.

The rest of Berdych’s 2018 campaign went downhill from there. He won back-to-back matches only twice more (one of the pairs came in Marseille, thanks to a Damir Dzumhur retirement), lost five in a row between Miami and the French Open, and surrendered to a back injury before Wimbledon, missing the rest of the season. He turned 33 during his time away, so it would have been understandable had he struggled upon return, or even if he decided that 2019 would represent his farewell tour.

Neither appears to be the case. The Czech reached the final in his first tournament back, in Doha this month, coming within a set of ousting Roberto Bautista Agut and bagging his first title since 2016. On Monday in Melbourne, he barely broke a sweat en route to a straight-set defeat of 13th seed and defending semi-finalist Kyle Edmund. A 33-year-old returning from a back injury is unlikely to return to his career high of No. 4 in the rankings, but should he stay healthy, the top ten isn’t an impossible goal, especially among a somewhat weaker field than the one he faced in the early part of the decade. After all, we learned last week that the players who manage to stick around can improve even into their mid-30’s.

A big part of the case for a Berdych resurgence is that his abbreviated 2018 season wasn’t as bad as it looked. Yes, he lost as many matches as he won, and only one of his victories came against a top-20 player. But even without accouting for the injury that slowed him down, he was quite unlucky. Of his eleven losses, he was at least the equal of his opponent in five of them, according to Dominance Ratio (DR), the ratio between return points won and opponent return points won. That’s just bad luck: In his career through 2017, he lost 35 such matches, but won another 35 when his opponents slightly outplayed him. Flip a few of those results, and Berdych’s 11-11 record becomes at least 14-8 in those matches, and we would have seen more of him in late rounds, assuming his body allowed it.

A more precise way to pin down his 2018 performance is by using stats adjusted for competition level, which I outlined in a previous post. His adjusted DR for each season is displayed below, with age along the horizontal axis:

His adjusted DR last year–his age 33 season–was 1.22, his best single-year mark since 2012, when he finished 6th in the year-end rankings. With only 22 matches in the books, we could be looking at a fluky result due to the limited sample, but on the other hand, a healthier Berdych should be even better. A stronger back should be able to cancel out the effect a few bounces failing to go his way.

And based on some very early results, “stronger” is exactly the word for it. In his five matches at the Australian Open last year, his average first serve speed fluctuated between 191 and 198 km/h (119 to 123 mph), including a first-round mean of 195 km/h. On Monday against Edmund, he averaged 201 km/h (125 mph). His fastest serve of the 2018 Australian was 212 km/h (132 mph) in the third round; he peaked at 211 km/h yesterday. His 2018 overall rate of serve points won was his lowest since 2009, meaning that his solid overall numbers were thanks to superior returning. If he comes back serving better than he did last year, it’s another positive sign.

The rest of this week offers a good test of Berdych’s form. On Wednesday he’ll face Robin Haase, an opponent that a would-be top-tenner should dispatch easily. The third round may involve a clash with Diego Schwartzman, a matchup that slightly favors the Czech on a hard court, but will force him to work harder than the Edmund match did. Should he reach the second week, his probable fourth-round foe would be Rafael Nadal. He would enter that match with extremely low expectations, but hey, that’s no different than the many times that they faced off in the past. And there’s always hope: Rafa has won 18 of their last 19 meetings, but the sole loss came almost exactly four years ago, at the Australian Open.