Monthly Archives: May 2011

French Open Odds Update: Quarterfinals

The draw looked odd this morning — Andy Murray and Viktor Troicki were still in the fourth round, while Novak Djokovic was safely in the semis following Fabio Fognini’s withdrawal. (Djokovic’s odds of advancing didn’t change much with Fognini’s withdrawal!)

Now that things are back to normal, we can update the odds. My rankings make Novak the 2-1 favorite to reach the final over Federer–probably a little optimistic for Roger, but you have to admit, the Swiss has looked surprisingly good this week. Largely thanks to Djokovic, there’s a 60% chance that the tournament winner comes from the bottom half.

Here are the odds for the remaining players:

Player                  SF      F      W  
(1)Rafael Nadal      68.9%  49.6%  24.9%  
(5)Robin Soderling   31.1%  17.1%   5.1%  
(4)Andy Murray       86.8%  32.1%  10.0%  
Juan Ignacio Chela   13.2%   1.1%   0.1%  
(3)Roger Federer    100.0%  33.1%  16.2%  
(2)Novak Djokovic   100.0%  66.9%  43.8% 

5 Comments

Filed under Forecasting, French Open

The French Open’s New Balls

Much has been made over the new balls at Roland Garros this year–players have complained that they are lighter, heavier, that they bounce differently.  As far as bounce and spin is concerned, there isn’t much we can glean from the available data.  But we can take a broad look at server dominance to get a sense of how the French is playing this year.

Several months ago, I looked at most of the ATP-level matches from 2010, and determined that the server wins points on different surfaces at the following rates:

  • Clay: 61.5%
  • Hard: 63.7%
  • Grass: 65.9%

The gaps between those numbers may not look very big, but they represent a major indicator in the differences between surfaces.  If the gap between clay and hard is 2.2%, then 2.2% must be a pretty big deal!

I’ve also determined the following regarding ace rates–again, using 2010 data.  “Ace rate” is simply the percentage of serves that are aces:

  • Clay: 5.5%
  • Hard: 8.5%
  • Grass: 10.5%

Now that’s a big difference.

Roland Garros

What about the French?  Taking the 2010 event as a whole, players won 62.4% of service points, and served aces 6.6% of the time.  Thus, I think it’s reasonable to conclude that the courts at RG last year played faster than most other clay-court ATP events.  Weather and–you guessed it–other equipment, such as balls, can also make a difference.

This year, 112 of the 127 men’s matches have already been played, including over 17,000 points, so I think it’s safe to start drawing conclusions.  This year, servers are only winning 62.0% of points–roughly halfway between the clay-court average and the results from last year’s “fast” RG.  More dramatically, players are only scoring aces on 5.6% of points, well below last year’s figure at the French.

I can’t shed any light on the specific quirks shown by the new balls, but for whatever reason, the French is playing more like an average clay-court event than it did last year.

4 Comments

Filed under French Open, Research

French Open Odds Update: 4th Round

With Juan Martin del Potro out of the way, Novak Djokovic is once again the odds-on favorite to win the French Open. His chances of winning are up to 38.7%, while Rafael Nadal’s haven’t budged much, now sitting at 25.8%.

Djokovic seems set to cruise into the semifinals, at least. Tomorrow he’ll face Richard Gasquet, and then in the quarters it gets even easier, with either Fabio Fognini or Albert Montanes. Things have worked out nicely for another Serbian, as well. Viktor Troicki will play Andy Murray–not the easiest draw, of course, but made easier by Murray’s ankle-twisting today. And whoever comes out of that match should be able to reach a semifinal date with Nadal, as the next opponent will be either Alejandro Falla or Juan Ignacio Chela.

Here are the full odds:

Player                     QF     SF      F      W  
(1)Rafael Nadal         84.4%  61.5%  46.8%  25.8%  
Ivan Ljubicic           15.6%   4.9%   2.0%   0.4%  
(18)Gilles Simon        28.7%   6.4%   2.7%   0.6%  
(5)Robin Soderling      71.3%  27.1%  16.4%   5.9%  
(4)Andy Murray          76.0%  67.0%  27.3%  10.1%  
(15)Viktor Troicki      24.0%  16.9%   3.2%   0.5%  
(q)Alejandro Falla      40.7%   5.4%   0.5%   0.0%  
Juan Ignacio Chela      59.3%  10.7%   1.2%   0.1%  
                                                    
Player                     QF     SF      F      W  
(7)David Ferrer         55.8%  22.4%   6.9%   2.7%  
(9)Gael Monfils         44.2%  15.7%   3.9%   1.3%  
(14)Stanislas Wawrinka  25.6%  10.8%   2.4%   0.7%  
(3)Roger Federer        74.4%  51.0%  21.8%  11.1%  
Fabio Fognini           38.5%   3.0%   0.5%   0.1%  
Albert Montanes         61.5%   6.3%   1.4%   0.2%  
(13)Richard Gasquet     17.5%  13.5%   5.5%   1.8%  
(2)Novak Djokovic       82.5%  77.2%  57.5%  38.7%

2 Comments

Filed under Forecasting, French Open

French Open Odds Update: 3rd Round

Three-quarters of the field has been eliminated, and we’re left with 32 men standing. Who’s left: 6 of the top 8, 13 of the top 16, and 21 of the top 32. All the wild cards and lucky losers are out (though Marsel Ilhan went down fighting!) but of the 11 unseeded players still in the draw, an amazing six are qualifiers.

In the odds below, you might notice an interesting twist. Suddenly, Nadal is the favorite! As Juan Martin del Potro has taken care of business and ensured a third-round clash with Novak Djokovic, Djokovic’s chances of reaching each successive round have decreased. But the men in Nadal’s section have done him favors–especially qualifier Antonio Veic, who knocked out Nikolay Davydenko today. The Russian is always a threat, but I don’t think we can say the same about Veic.

Nadal’s chances are up to 26.9%, while Djokovic’s have fallen to 25.8%. Of course, both of those numbers are far beyond anyone else in the field. On the other end, qualifiers Veic and Steve Darcis have the smallest chances of winning the title–they each won it all only once per 50,000 simulations. The qualifier with the best chance is Lukasz Kubot, who is about 15 times more likely than Darcis to take home his first grand slam championship.

Player                        R16     QF     SF         W  
(1)Rafael Nadal             95.4%  78.9%  59.0%  …  26.9%  
(q)Antonio Veic              4.6%   0.9%   0.1%  …   0.0%  
Ivan Ljubicic               40.6%   7.4%   2.6%  …   0.2%  
(16)Fernando Verdasco       59.4%  12.8%   5.8%  …   0.9%  
(10)Mardy Fish              54.4%  21.1%   5.3%  …   0.7%  
(18)Giles Simon             45.6%  16.1%   3.9%  …   0.4%  
(q)Leonardo Mayer           14.6%   4.1%   0.5%  …   0.0%  
(5)Robin Soderling          85.4%  58.7%  22.8%  …   5.8%  
                                                           
Player                        R16     QF     SF         W  
(4)Andy Murray              88.7%  68.7%  60.9%  …  10.6%  
Michael Berrer              11.3%   3.4%   1.7%  …   0.0%  
(21)Alexandr Dolgopolov     44.2%  11.6%   7.9%  …   0.2%  
(15)Viktor Troicki          55.9%  16.4%  11.8%  …   0.5%  
(q)Lukasz Kubot             51.0%  22.5%   3.6%  …   0.0%  
(q)Alejandro Falla          49.0%  22.0%   3.5%  …   0.0%  
Juan Ignacio Chela          60.9%  36.4%   7.6%  …   0.1%  
(q)Lukas Rosol              39.1%  19.2%   3.0%  …   0.0%  
                                                           
Player                        R16     QF     SF         W  
(7)David Ferrer             81.0%  49.2%  22.2%  …   3.0%  
(31)Sergiy Stakhovsky       19.0%   5.9%   1.0%  …   0.0%  
(q)Steve Darcis             14.6%   2.3%   0.2%  …   0.0%  
(9)Gael Monfils             85.4%  42.7%  17.1%  …   1.6%  
(14)Stanislas Wawrinka      50.2%  16.0%   7.1%  …   0.6%  
(17)Jo-Wilfried Tsonga      49.8%  16.0%   7.1%  …   0.6%  
(29)Janko Tipsarevic        18.0%   7.0%   2.5%  …   0.1%  
(3)Roger Federer            82.0%  61.0%  42.7%  …  10.6%  
                                                           
Player                        R16     QF     SF         W  
Fabio Fognini               36.6%  13.2%   1.3%  …   0.0%  
(30)Guillermo Garcia-Lopez  63.4%  33.1%   4.8%  …   0.3%  
Albert Montanes             43.1%  22.3%   2.7%  …   0.1%  
(12)Mikhail Youzhny         56.9%  31.4%   5.4%  …   0.3%  
(13)Richard Gasquet         63.6%  13.3%   9.4%  …   1.5%  
(23)Thomaz Bellucci         36.4%   4.9%   2.9%  …   0.2%  
(25)Juan Martin Del Potro   35.2%  26.9%  23.3%  …   8.7%  
(2)Novak Djokovic           64.8%  54.9%  50.2%  …  25.8%

Leave a comment

Filed under Forecasting, French Open

French Open Odds Update: 2nd round

64 men are out of the draw, with the usual handful of first-round surprises. Murray’s quarter has gotten even weaker with the early exit of Nicolas Almagro, while Berdych’s 1st-round defeat doesn’t affect Djokovic’s odds much.

Oddly enough, there are more very-lopsided matchups in the 2nd round than there were in the first. Nadal, del Potro, and Djokovic all have a 93% chance of advancing to the third round, while Federer is above 91%. The only two ultra-tight matchups this round are in Melzer’s section, where Kevin Anderson and Juan Ignacio Chela are close to dead even, and Carlos Berlocq is roughly equal with qualifer Lukasz Kubot.

Remarkably, 8 of the 16 qualifiers got through to the second round, while 2 of the 6 lucky losers did so. 3 of the 8 wild cards advanced, though one of those was a foregone conclusion, as two WCs faced off in the first round.

Here are the odds for the rest of the tournament:

Player                        R32    R16     QF         W  
(1)Rafael Nadal             93.9%  75.0%  63.5%  …  22.0%  
Pablo Andujar                6.1%   1.7%   0.4%  …   0.0%  
(q)Antonio Veic             17.7%   1.2%   0.3%  …   0.0%  
(28)Nikolay Davydenko       82.3%  22.1%  12.4%  …   0.7%  
(24)Sam Querrey             41.4%  16.6%   2.9%  …   0.1%  
Ivan Ljubicic               58.6%  27.4%   6.3%  …   0.2%  
Xavier Malisse              23.7%   8.6%   1.2%  …   0.0%  
(16)Fernando Verdasco       76.3%  47.4%  13.0%  …   0.9%  
                                                           
Player                        R32    R16     QF         W  
(10)Mardy Fish              71.1%  42.1%  17.5%  …   0.7%  
Robin Haase                 28.9%  10.7%   2.6%  …   0.0%  
Jeremy Chardy               35.0%  13.6%   3.7%  …   0.0%  
(18)Gilles Simon            65.0%  33.7%  12.8%  …   0.4%  
(27)Marcos Baghdatis        67.8%  24.1%  12.6%  …   0.3%  
(q)Leonardo Mayer           32.2%   6.1%   1.9%  …   0.0%  
(q)Albert Ramos             10.1%   2.8%   0.6%  …   0.0%  
(5)Robin Soderling          89.9%  67.0%  48.3%  …   5.3%  
                                                           
Player                        R32    R16     QF         W  
(4)Andy Murray              89.1%  80.3%  64.1%  …   8.8%  
(LL)Simone Bolelli          10.9%   5.9%   2.1%  …   0.0%  
(WC)Arnaud Clement          41.3%   4.8%   1.2%  …   0.0%  
Michael Berrer              58.7%   8.9%   3.1%  …   0.0%  
(21)Alexandr Dolgopolov     66.2%  33.7%  10.3%  …   0.2%  
Andreas Haider-Maurer       33.8%  12.2%   2.6%  …   0.0%  
Tobias Kamke                26.6%   9.6%   1.8%  …   0.0%  
(15)Viktor Troicki          73.4%  44.5%  14.9%  …   0.3%  
                                                           
Player                        R32    R16     QF         W  
(q)Lukasz Kubot             50.6%  16.0%   4.1%  …   0.0%  
Carlos Berlocq              49.4%  15.6%   4.0%  …   0.0%  
(q)Alejandro Falla          24.1%  11.9%   2.8%  …   0.0%  
(20)Florian Mayer           75.9%  56.6%  27.0%  …   0.5%  
(32)Kevin Anderson          51.4%  14.4%   6.3%  …   0.0%  
Juan Ignacio Chela          48.6%  14.2%   6.1%  …   0.0%  
(q)Lukas Rosol              15.3%   5.8%   2.1%  …   0.0%  
(8)Jurgen Melzer            84.7%  65.6%  47.6%  …   2.5%  
                                                           
Player                        R32    R16     QF         W  
(7)David Ferrer             77.4%  53.7%  34.7%  …   2.4%  
Julien Benneteau            22.6%   9.0%   3.3%  …   0.0%  
Kei Nishikori               68.8%  29.3%  15.2%  …   0.3%  
(31)Sergiy Stakhovsky       31.2%   8.0%   2.7%  …   0.0%  
(q)Steve Darcis             30.0%   6.0%   1.0%  …   0.0%  
Philipp Petzschner          70.0%  24.1%   7.8%  …   0.0%  
(WC)Guillaume Rufin         17.0%   6.8%   1.4%  …   0.0%  
(9)Gael Monfils             83.0%  63.1%  33.9%  …   1.4%  
                                                           
Player                        R32    R16     QF         W  
(14)Stanislas Wawrinka      75.3%  43.0%  15.1%  …   0.6%  
(q)Thomas Schoorel          24.7%   8.0%   1.4%  …   0.0%  
Igor Andreev                25.5%   7.3%   1.1%  …   0.0%  
(17)Jo-Wilfried Tsonga      74.5%  41.7%  14.5%  …   0.6%  
(29)Janko Tipsarevic        68.9%  15.1%   6.5%  …   0.1%  
Pere Riba                   31.1%   4.0%   1.0%  …   0.0%  
(WC)Maxime Teixeira          8.2%   2.8%   0.6%  …   0.0%  
(3)Roger Federer            91.8%  78.1%  59.8%  …  11.5%  
                                                           
Player                        R32    R16     QF         W  
(q)Stephane Robert          32.4%   9.3%   2.4%  …   0.0%  
Fabio Fognini               67.6%  29.0%  11.7%  …   0.0%  
(LL)Marsel Ilhan            31.9%  15.3%   5.3%  …   0.0%  
(30)Guillermo Garcia-Lopez  68.1%  46.4%  25.8%  …   0.2%  
Ruben Ramirez Hidalgo       21.4%   5.0%   1.4%  …   0.0%  
Albert Montanes             78.6%  39.3%  22.0%  …   0.2%  
Mikhail Kukushkin           31.2%  12.9%   5.3%  …   0.0%  
(12)Mikhail Youzhny         68.8%  42.8%  26.1%  …   0.3%  
                                                           
Player                        R32    R16     QF         W  
(13)Richard Gasquet         79.7%  55.2%  11.7%  …   1.5%  
Marcel Granollers           20.3%   7.8%   0.6%  …   0.0%  
Andreas Seppi               33.0%   8.6%   0.6%  …   0.0%  
(23)Thomaz Bellucci         67.0%  28.4%   4.0%  …   0.2%  
(25)Juan Martin Del Potro   93.4%  35.1%  27.6%  …   9.8%  
Blaz Kavcic                  6.6%   0.3%   0.1%  …   0.0%  
Victor Hanescu               4.1%   0.4%   0.1%  …   0.0%  
(2)Novak Djokovic           95.9%  64.2%  55.4%  …  27.6%

Leave a comment

Filed under Forecasting, French Open

Winners and Losers in the French Open Draw

Yesterday I offered a full breakdown of the French Open draw, with each player’s chances of advancing to each of several rounds.  In any draw of this kind, there are winners and losers, thanks to the luck of the … well, draw.

In a 128-player field seeded in the manner that Grand Slams are seeded, there are nearly 100,000 permutations of the draw.  The vast majority don’t matter — for instance, if you swapped Thiemo de Bakker and John Isner so that de Bakker played Nadal in the first round and Isner played Djokovic in the first round (instead of vice versa), no one’s chances of winning the title would change much.

But, of course, many of the possible permutations would matter a whole lot.  Just ask de Bakker or Isner!  Imagine how much better it would be for Isner to have a first round draw against, say, Yen-Hsun Lu, followed by a probable second-rounder against Sergiy Stakhovsky.  In fact, that’s Kei Nishikori’s draw, and in that sense, Nishikori was very lucky that the chips fell where they did.

Stepping back

In my previous draw simulations–like the one I published yesterday–I took the actual bracket as a given.  To generate the probabilities you see in yesterday’s chart, I had a computer program “play” the tournament 100,000 times, each time pitting Isner against Nadal in the first round, then the winner of that match against the winner of Giraldo/Andujar, and so on.

There’s a different way we could approach this.  Instead of starting the simulation from the point at which the draw is set, we could start from the point at which the field was set and seeded.  At that point, Isner would know that he is not seeded–and thus, that he would probably face a seed in the first or second round–but not which higher-ranked player he would face.

So, instead of 100,000 simulations of the actual French Open bracket, we can do 100,000 simulations of the draw itself, followed by simulating each ensuing bracket.  Sometimes, Isner draws Nadal, sometimes he draws Hanescu, and so on.

Measuring draw implications

A good way to gauge a player’s overall chances at a tournament is his predicted prize money.  Most players don’t have a significant chance of winning most tournaments (especially slams), so to compare Giraldo’s 0.01% chance of winning the title with Cuevas’s 0.02% chance doesn’t tell us much.  But if we consider the possibility that each player reaches each round, we can estimate that Giraldo will take home E24,600, while Cuevas will collect E29,500.  These numbers represent an average of the first-round prize money, second-round prize money, and so on, weighted by the probability that the player will reach each of those stages.

With this metric, we can compare the implications of the actual draw with the implications of the randomized draw, in which, for instance, Nadal could play any one of the 96 unseeded players in the first round.

Let’s compare the two outcomes in an extreme case.  As we’ve seen, the draw was not kind to John Isner.  My algorithm gives him a 12% chance of reaching the second round, and less than a 1% chance of reaching the semis.  Crunch the numbers, and you have predicted prize money of E22,700.  When you randomize the draw and he no longer has to beat Nadal in the first round, his chances of reaching the second round leap to 60%, and he has a 2% shot at a semifinal berth.  Predicted prize money: E40,100.

As it turns out, Isner is our biggest loser.  His predicted prize money fell more than 40% between the beginning and end of the draw ceremony.  What’s remarkable is that the next four players on the list all come from the same 1/16th of the draw–you guessed it, Djokovic’s section.

The draw effect on Thiemo de Bakker is similar to that on Isner–it doesn’t get any worse than drawing Djokovic in the first round.  Next on the list are Ernests Gulbis, Ivo Karlovic, and Juan Martin del Potro.  Karlovic and Gulbis not only have the misfortune of drawing Delpo in the first two rounds, but if by some chance they get past the Argentine, then they face Djokovic!  Each of those players lost more than 30% of their predicted prize money through the vagaries of the draw.

Del Potro is an interesting case.  As is, his predicted prize money is E184,600.  Before the draw was set, he could expect E266,000.  The biggest difference, of course, is his chance of reaching the round of 16.  In real life, he’ll need to beat Djokovic to get there, and he has a 30% chance of getting that far.  Before the bracket was drawn, the expectation was that he’d need only to defeat someone in the top 16 (or possibly, a player who had upset someone in the top 16).  He had a 63% chance of doing so.

Winners

Naturally, if there are so many players whose predicted prize money decreased, some players must have benefited from the way the draw played out.

One of the biggest winners was Andy Murray.  As we’ve seen, plenty of dangerous players are concentrated in Djokovic’s quarter; in fact, Djokovic, Nadal, and Federer were all hurt by the draw.  But Murray’s draw boosted his predicted prize money from E191,700 to E240,800.  He’ll face a qualifier or lucky loser in each of the first two rounds, then no one more challenging than Milos Raonic in the third.  Next would be Dolgopolov or Troicki–no walkovers, but compare that to Nadal’s possible fourth-rounder of Verdasco, and you see how the breaks went in Andy’s favor.

Murray’s quarter is the softest of the four, and other men benefit even more.  In fact, the two players whose chances the draw boosted the most are Nicholas Almagro and Jurgen Melzer, who will likely play in the fourth round for a matchup with Murray in the quarters.  Almagro, Melzer, and Juan Ignacio Chela (also in this section) all saw their predicted prize money jump by more than 40%.  For example, Almagro went from E76,100 to E112,400–and more than doubled his chances of winning the title from 0.6% to 1.3%–by landing where he did in the bracket.

Regardless of any player’s specific placement, the best man will probably win.  But the draw certainly has a say in how tricky the route to the title will be.

3 Comments

Filed under French Open, Research

French Open Predictions

The qualifying rounds are over, and the draw is set.  I plugged the full 128-man bracket into my simulator, combined it with my most recent clay-specific rankings, and the full results are below.

A few quick hits on the draw and the simulation results:

  • All of the top three players have challenging draws.  Nadal faces Isner in the first, then possibly Davydenko in the third, Verdasco in the 4th, and Soderling in the quarters.  Federer drew Feliciano Lopez in the first.  And Djokovic got the worst possible outcome: Del Potro in the third.  There probably isn’t an upset there, but if anybody’s going to take Novak out before the final, Delpo’s my bet.
  • There are eight Americans in the draw.  The odds that a US player–any US player–wins the tourney is 0.83%.  The odds that all eight are knocked out in the first round?  0.85%.  Only Fish and Sweeting are favorites in their opening matches.
  • On the country-by-country theme, France has 20 men in the main draw, with a likelihood of just under 4% that a Frenchmen will win the title.  Spain has 14, for a total title shot of 26.4% — just below Djokovic’s chances by himself.
  • Some tight matchups in the first round: Fognini/Istomin, Hewitt/Montanes, Brands/Kukushkin, Paire/Hanescu (home court advantage flips that in Paire’s favor), Teixeira/Millot (two wild cards), Tomic/Berlocq, Gimeno-Traver/Haase, and Tursunov/Malisse.
  • The most lopsided first-rounder–according to the numbers–is Djokovic vs. de Bakker, followed by Andy Murray vs. Eric Prodon, the only two where my system gives the favorite a 90% chance of advancing.  There are plenty in the high 80′s, as well.

Here are the full simulation results:

Player                        R64    R32    R16          W  
(1)Rafael Nadal             87.5%  81.4%  67.3%  …  21.30%  
John Isner                  12.5%   8.3%   4.2%  …   0.05%  
Santiago Giraldo            60.4%   6.9%   2.6%  …   0.01%  
Pablo Andujar               39.6%   3.5%   1.0%  …   0.00%  
Pablo Cuevas                67.0%  25.0%   4.0%  …   0.02%  
(q)Antonio Veic             33.0%   7.8%   0.7%  …   0.00%  
(q)Denis Gremelmayr         14.6%   4.8%   0.4%  …   0.00%  
(28)Nikolay Davydenko       85.4%  62.3%  19.8%  …   0.72%  
                                                            
Player                        R64    R32    R16          W  
(24)Sam Querrey             42.6%  20.5%   9.1%  …   0.04%  
Philipp Kohlschreiber       57.4%  31.2%  15.7%  …   0.13%  
Ivan Ljubicic               72.0%  39.5%  20.6%  …   0.20%  
Somdev Devvarman            28.0%   8.8%   2.8%  …   0.00%  
Dmitry Tursunov             44.9%  12.1%   4.1%  …   0.00%  
Xavier Malisse              55.1%  16.4%   5.9%  …   0.01%  
Juan Monaco                 34.7%  21.0%   9.7%  …   0.04%  
(16)Fernando Verdasco       65.3%  50.4%  32.1%  …   0.77%  
                                                            
Player                        R64    R32    R16          W  
(10)Mardy Fish              82.3%  59.3%  36.6%  …   0.70%  
Ricardo Mello               17.7%   6.5%   1.7%  …   0.00%  
Daniel Gimeno-Traver        47.9%  16.1%   6.2%  …   0.01%  
Robin Haase                 52.1%  18.1%   7.2%  …   0.02%  
Jeremy Chardy               52.5%  21.7%   9.1%  …   0.03%  
Grigor Dimitrov             47.5%  17.9%   7.2%  …   0.02%  
Michael Russell             16.0%   4.5%   1.0%  …   0.00%  
(18)Gilles Simon            84.0%  55.9%  31.0%  …   0.41%  
                                                            
Player                        R64    R32    R16          W  
(27)Marcos Baghdatis        71.6%  51.3%  20.0%  …   0.36%  
Frederico Gil               28.4%  14.1%   3.0%  …   0.00%  
(q)Leonardo Mayer           58.4%  22.3%   5.0%  …   0.01%  
Dustin Brown                41.6%  12.3%   2.2%  …   0.00%  
(q)Albert Ramos             77.0%  10.8%   3.5%  …   0.00%  
(q)Javier Marti             23.0%   1.2%   0.1%  …   0.00%  
Benjamin Becker             10.4%   6.1%   2.1%  …   0.00%  
(5)Robin Soderling          89.6%  81.9%  64.0%  …   5.86%  
                                                            
Player                        R64    R32    R16          W  
(4)Andy Murray              91.0%  82.1%  60.3%  …   7.11%  
(q)Eric Prodon               9.0%   4.3%   1.2%  …   0.00%  
(LL)Simon Bolelli           58.1%   8.6%   2.6%  …   0.01%  
(q)Frank Dancevic           41.9%   5.0%   1.2%  …   0.00%  
(WC)Arnaud Clement          46.8%   9.2%   1.3%  …   0.00%  
Filippo Volandri            53.2%  12.0%   2.0%  …   0.00%  
Michael Berrer              19.2%  10.6%   2.0%  …   0.00%  
(26)Milos Raonic            80.8%  68.2%  29.4%  …   1.17%  
                                                            
Player                        R64    R32    R16          W  
(21)Alexandr Dolgopolov     80.2%  48.8%  26.6%  …   0.14%  
Rainer Schuettler           19.8%   5.6%   1.4%  …   0.00%  
Andreas Haider-Maurer       41.1%  16.6%   6.4%  …   0.00%  
Ryan Sweeting               58.9%  29.0%  13.7%  …   0.03%  
Tobias Kamke                39.2%  12.9%   4.8%  …   0.00%  
Olivier Rochus              60.8%  24.4%  11.5%  …   0.02%  
Julian Reister              27.6%  12.5%   4.7%  …   0.00%  
(15)Viktor Troicki          72.4%  50.1%  30.7%  …   0.22%  
                                                            
Player                        R64    R32    R16          W  
(11)Nicolas Almagro         82.4%  66.6%  46.5%  …   1.30%  
(q)Lukasz Kubot             17.6%   8.5%   3.0%  …   0.00%  
Carlos Berlocq              48.2%  11.6%   4.0%  …   0.00%  
(WC)Bernard Tomic           51.8%  13.3%   5.0%  …   0.00%  
Potito Starace              55.8%  19.8%   6.4%  …   0.01%  
(q)Alejandro Falla          44.2%  13.4%   3.7%  …   0.00%  
Igor Kunitsyn               20.4%   8.3%   2.0%  …   0.00%  
(20)Florian Mayer           79.6%  58.5%  29.4%  …   0.36%  
                                                            
Player                        R64    R32    R16          W  
(32)Kevin Anderson          61.3%  34.3%  11.4%  …   0.02%  
Nicolas Mahut               38.7%  16.5%   4.0%  …   0.00%  
Juan Ignacio Chela          62.6%  33.8%  11.5%  …   0.02%  
(WC)Tim Smyczek             37.4%  15.3%   3.7%  …   0.00%  
(WC)Edouard Roger-Vasselin  54.4%  12.8%   6.0%  …   0.00%  
(q)Lukas Rosol              45.6%   9.4%   4.0%  …   0.00%  
(LL)Andreas Beck            15.2%   7.6%   3.3%  …   0.00%  
(8)Jurgen Melzer            84.8%  70.2%  56.0%  …   2.09%  
                                                            
Player                        R64    R32    R16          W  
(7)David Ferrer             81.2%  65.7%  47.5%  …   2.54%  
Jarkko Nieminen             18.8%   9.9%   3.8%  …   0.00%  
Julien Benneteau            64.9%  18.2%   8.1%  …   0.03%  
Rui Machado                 35.1%   6.3%   1.8%  …   0.00%  
Kei Nishikori               78.9%  57.6%  27.6%  …   0.43%  
Yen-Hsun Lu                 21.1%   9.2%   1.9%  …   0.00%  
(q)David Guez               32.2%   7.6%   1.4%  …   0.00%  
(31)Sergiy Stakhovsky       67.8%  25.6%   7.9%  …   0.01%  
                                                            
Player                        R64    R32    R16          W  
(22)Michael Llodra          73.5%  42.4%  17.7%  …   0.09%  
(q)Steve Darcis             26.5%   9.0%   2.0%  …   0.00%  
Philipp Petzschner          64.0%  34.4%  13.3%  …   0.03%  
Mischa Zverev               36.0%  14.2%   4.1%  …   0.01%  
Adrian Mannarino            56.9%  15.3%   6.6%  …   0.01%  
(WC)Guillaume Rufin         43.1%   9.6%   3.5%  …   0.00%  
(q)Bjorn Phau               12.1%   4.4%   1.2%  …   0.00%  
(9)Gael Monfils             87.9%  70.6%  51.6%  …   1.45%  
                                                            
Player                        R64    R32    R16          W  
(14)Stanislas Wawrinka      85.8%  66.1%  40.1%  …   0.83%  
(q)Augustin Gensse          14.2%   5.2%   1.2%  …   0.00%  
(q)Thomas Schoorel          55.6%  17.0%   6.2%  …   0.01%  
Maximo Gonzalez             44.4%  11.7%   3.8%  …   0.00%  
Florent Serra               37.4%   8.4%   2.2%  …   0.00%  
Igor Andreev                62.6%  19.4%   6.4%  …   0.01%  
Jan Hajek                   18.2%   8.4%   2.3%  …   0.00%  
(17)Jo-Wilfried Tsonga      81.8%  63.7%  37.8%  …   0.78%  
                                                            
Player                        R64    R32    R16          W  
(29)Janko Tipsarevic        75.9%  46.3%  13.2%  …   0.11%  
Brian Dabul                 24.1%   8.1%   1.0%  …   0.00%  
Ivan Dodig                  61.9%  31.2%   7.7%  …   0.06%  
Pere Riba                   38.1%  14.4%   2.3%  …   0.00%  
(WC)Vincent Millot          46.5%   4.6%   1.5%  …   0.00%  
(WC)Maxime Teixeira         53.5%   6.1%   2.2%  …   0.00%  
Feliciano Lopez             23.4%  18.6%  11.9%  …   0.27%  
(3)Roger Federer            76.6%  70.7%  60.2%  …   9.85%  
                                                            
Player                        R64    R32    R16          W  
(6)Tomas Berdych            87.7%  68.0%  51.2%  …   1.58%  
(q)Stephane Robert          12.3%   3.9%   1.3%  …   0.00%  
Fabio Fognini               50.9%  15.1%   7.1%  …   0.01%  
Denis Istomin               49.1%  13.1%   6.3%  …   0.01%  
Tommy Haas                  26.8%   5.3%   0.7%  …   0.00%  
(LL)Marsel Ilhan            73.2%  28.1%   7.4%  …   0.00%  
Robert Kendrick             22.6%   9.9%   1.9%  …   0.00%  
(30)Guillermo Garcia-Lopez  77.4%  56.7%  24.1%  …   0.13%  
                                                            
Player                        R64    R32    R16          W  
(19)Marin Cilic             88.4%  61.4%  42.6%  …   0.93%  
Ruben Ramirez Hidalgo       11.6%   2.7%   0.7%  …   0.00%  
Lleyton Hewitt              45.7%  14.7%   7.4%  …   0.03%  
Albert Montanes             54.3%  21.1%  11.2%  …   0.04%  
Daniel Brands               47.0%  15.8%   4.1%  …   0.00%  
Mikhail Kukushkin           53.0%  20.0%   5.7%  …   0.01%  
Go Soeda                    18.7%   6.8%   1.3%  …   0.00%  
(12)Mikhail Youzhny         81.3%  57.3%  26.9%  …   0.19%  
                                                            
Player                        R64    R32    R16          W  
(13)Richard Gasquet         69.1%  56.4%  40.9%  …   1.08%  
Radek Stepanek              30.9%  20.3%  10.8%  …   0.05%  
(LL)Alex Bogomolov Jr.      42.8%   8.7%   3.0%  …   0.00%  
Marcel Granollers           57.2%  14.6%   6.0%  …   0.00%  
Teymuraz Gabashvili         44.6%  12.8%   3.3%  …   0.00%  
Andreas Seppi               55.4%  20.6%   6.5%  …   0.01%  
Andrey Golubev              34.5%  20.1%   7.0%  …   0.01%  
(23)Thomaz Bellucci         65.5%  46.5%  22.5%  …   0.17%  
                                                            
Player                        R64    R32    R16          W  
(25)Juan Martin Del Potro   89.0%  72.9%  30.1%  …   8.40%  
Ivo Karlovic                11.0%   3.5%   0.4%  …   0.00%  
Ernests Gulbis              80.2%  21.5%   4.5%  …   0.20%  
Blaz Kavcic                 19.8%   2.0%   0.1%  …   0.00%  
(WC)Benoit Paire            51.7%   3.7%   0.5%  …   0.00%  
Victor Hanescu              48.3%   3.2%   0.4%  …   0.00%  
Thiemo De Bakker             6.3%   3.6%   0.6%  …   0.00%  
(2)Novak Djokovic           93.7%  89.5%  63.3%  …  27.42%

1 Comment

Filed under Forecasting, French Open