| Level | Masters |
|---|---|
| Surface | Hard 56 |
| Date | 08-03-2023 |
| History |
| Draw / Players | KO 96 / 96 |
|---|---|
| Participation | 82.3% |
| Strength | 2177 |
| Average Elo Rating | 2035 |
| 1-st Fav. |
Carlos Alcaraz Garfia
100.0%
|
|---|
| 1-st Quarter | 27.5% | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S/E | Player | 16.4% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 1 |
Carlos Alcaraz Garfia
|
100.0% | 86.1% | 72.5% | 57.3% | 38.4% | 26.2% | 16.2% | +43.5% | ||||
| Bye | |||||||||||||
| Q |
Thanasi Kokkinakis
|
H 2 H |
79.0% | 13.2% | 6.7% | 2.8% | 0.8% | 0.2% | 0.1% | -64.8% | |||
| WC |
Brandon Holt
|
21.0% | 0.7% | 0.1% | 0.0% | 0.0% | 0.0% | 0.0% | -98.3% | ||||
Thiago Monteiro
|
H 2 H |
63.5% | 16.3% | 2.0% | 0.5% | 0.1% | 0.0% | 0.0% | -79.8% | ||||
| PR |
Guido Pella
|
36.5% | 8.6% | 0.8% | 0.2% | 0.0% | 0.0% | 0.0% | -64.4% | ||||
| Bye | |||||||||||||
| 31 |
Tallon Griekspoor
|
100.0% | 75.1% | 18.0% | 8.3% | 2.7% | 0.8% | 0.2% | -15.8% | ||||
| S/E | Player | 1.3% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 24 |
Daniel Evans
|
100.0% | 52.1% | 26.6% | 7.3% | 2.4% | 0.8% | 0.2% | -39.2% | ||||
| Bye | |||||||||||||
| Q |
Leandro Riedi
|
H 2 H |
17.9% | 2.1% | 0.3% | 0.0% | 0.0% | 0.0% | 0.0% | -98.4% | |||
|
Jack Draper
|
82.1% | 45.7% | 26.6% | 9.5% | 3.9% | 1.5% | 0.5% | -20.6% | |||||
|
Tomas Martin Etcheverry
|
H 2 H |
25.8% | 11.3% | 3.4% | 0.6% | 0.1% | 0.0% | 0.0% | -81.8% | ||||
|
Andy Murray
|
74.2% | 53.4% | 31.2% | 11.3% | 4.7% | 1.9% | 0.6% | -38.5% | |||||
| Bye | |||||||||||||
| LL |
Radu Albot
|
100.0% | 35.3% | 11.8% | 2.2% | 0.5% | 0.1% | 0.0% | -51.7% | ||||
| S/E | Player | 4.9% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 9 |
Hubert Hurkacz
|
100.0% | 82.9% | 48.9% | 27.6% | 12.9% | 6.4% | 2.7% | -11.9% | ||||
| Bye | |||||||||||||
| LL |
Alexei Popyrin
|
H 2 H |
57.6% | 11.5% | 3.1% | 0.9% | 0.2% | 0.0% | 0.0% | -76.8% | |||
| Q |
Zhizhen Zhang
|
42.4% | 5.6% | 1.1% | 0.2% | 0.0% | 0.0% | 0.0% | -91.5% | ||||
| Q |
Jan Lennard Struff
|
H 2 H |
62.1% | 14.6% | 4.1% | 1.2% | 0.3% | 0.1% | 0.0% | -79.3% | |||
Quentin Halys
|
37.9% | 5.6% | 1.0% | 0.2% | 0.0% | 0.0% | 0.0% | -90.6% | |||||
| Bye | |||||||||||||
| 17 |
Tommy Paul
|
100.0% | 79.8% | 41.8% | 23.4% | 10.9% | 5.2% | 2.1% | -11.0% | ||||
| S/E | Player | 4.9% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 27 |
Francisco Cerundolo
|
100.0% | 57.5% | 18.0% | 5.4% | 1.4% | 0.4% | 0.1% | -32.9% | ||||
| Bye | |||||||||||||
|
Gregoire Barrere
|
H 2 H |
46.6% | 17.6% | 3.7% | 0.8% | 0.2% | 0.0% | 0.0% | -83.8% | ||||
| WC |
Jack Sock
|
53.4% | 24.8% | 6.7% | 1.7% | 0.4% | 0.1% | 0.0% | -68.7% | ||||
|
Pedro Martinez Portero
|
H 2 H |
43.1% | 7.0% | 2.7% | 0.5% | 0.1% | 0.0% | 0.0% | -77.4% | ||||
|
Marc Andrea Huesler
|
56.9% | 9.7% | 4.0% | 0.9% | 0.2% | 0.0% | 0.0% | -82.2% | |||||
| Bye | |||||||||||||
| 8 |
Felix Auger Aliassime
|
100.0% | 83.2% | 64.8% | 37.1% | 19.8% | 10.6% | 4.8% | +20.6% | ||||
| 2-nd Quarter | 19.7% | ||||||||||||
| S/E | Player | 5.7% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 4 |
Taylor Harry Fritz
|
100.0% | 78.7% | 64.3% | 40.9% | 23.6% | 11.9% | 5.5% | +20.3% | ||||
| Bye | |||||||||||||
|
Ben Shelton
|
H 2 H |
57.5% | 13.9% | 8.1% | 2.8% | 0.8% | 0.2% | 0.0% | -60.4% | ||||
Fabio Fognini
|
42.5% | 7.3% | 3.5% | 1.0% | 0.2% | 0.0% | 0.0% | -81.9% | |||||
Mikael Ymer
|
H 2 H |
80.9% | 50.6% | 13.8% | 4.4% | 1.2% | 0.3% | 0.1% | -58.1% | ||||
| Q |
Rinky Hijikata
|
19.1% | 8.0% | 1.1% | 0.2% | 0.0% | 0.0% | 0.0% | -41.4% | ||||
| Bye | |||||||||||||
| 30 |
Sebastian Baez
|
100.0% | 41.5% | 9.2% | 2.3% | 0.5% | 0.1% | 0.0% | -10.1% | ||||
| S/E | Player | 3.3% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 18 |
Borna Coric
|
100.0% | 74.4% | 35.3% | 17.2% | 7.4% | 2.7% | 1.0% | -31.6% | ||||
| Bye | |||||||||||||
Alex Molcan
|
H 2 H |
52.5% | 14.6% | 4.6% | 1.4% | 0.4% | 0.1% | 0.0% | -61.6% | ||||
|
Albert Ramos
|
47.5% | 11.0% | 2.6% | 0.7% | 0.1% | 0.0% | 0.0% | -84.0% | |||||
|
Jeffrey John Wolf
|
H 2 H |
57.3% | 15.7% | 6.7% | 2.4% | 0.8% | 0.2% | 0.0% | -80.7% | ||||
Marton Fucsovics
|
42.7% | 10.7% | 4.5% | 1.6% | 0.5% | 0.1% | 0.0% | -69.2% | |||||
| Bye | |||||||||||||
| 16 |
Alex De Minaur
|
100.0% | 73.6% | 46.4% | 25.2% | 12.6% | 5.5% | 2.2% | -25.2% | ||||
| S/E | Player | 6.7% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 11 |
Jannik Sinner
|
100.0% | 77.6% | 57.6% | 37.5% | 23.3% | 12.6% | 6.2% | +15.1% | ||||
| Bye | |||||||||||||
| Q |
Borna Gojo
|
H 2 H |
34.6% | 5.0% | 1.6% | 0.4% | 0.1% | 0.0% | 0.0% | -90.4% | |||
|
Richard Gasquet
|
65.4% | 17.4% | 8.7% | 3.4% | 1.2% | 0.3% | 0.1% | -70.4% | |||||
| WC |
Dominic Thiem
|
H 2 H |
60.3% | 31.1% | 10.9% | 4.5% | 1.8% | 0.6% | 0.2% | -69.7% | |||
|
Adrian Mannarino
|
39.7% | 17.9% | 5.2% | 1.9% | 0.6% | 0.2% | 0.0% | -73.2% | |||||
| Bye | |||||||||||||
| 19 |
Lorenzo Musetti
|
100.0% | 51.0% | 16.0% | 6.2% | 2.2% | 0.6% | 0.2% | -54.6% | ||||
| S/E | Player | 4.2% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 26 |
Miomir Kecmanovic
|
100.0% | 55.5% | 17.9% | 5.9% | 2.0% | 0.5% | 0.1% | -50.5% | ||||
| Bye | |||||||||||||
| PR |
Stan Wawrinka
|
H 2 H |
69.4% | 35.4% | 12.7% | 5.0% | 2.0% | 0.6% | 0.2% | -48.8% | |||
| Q |
Aleksandar Vukic
|
30.6% | 9.0% | 1.6% | 0.3% | 0.1% | 0.0% | 0.0% | -89.1% | ||||
|
Mackenzie Mcdonald
|
H 2 H |
61.1% | 18.3% | 9.7% | 3.5% | 1.2% | 0.4% | 0.1% | -71.2% | ||||
|
Filip Krajinovic
|
38.9% | 7.7% | 3.2% | 0.8% | 0.2% | 0.0% | 0.0% | -87.1% | |||||
| Bye | |||||||||||||
| 7 |
Holger Vitus Nodskov Rune
|
100.0% | 74.0% | 54.9% | 30.5% | 17.1% | 8.4% | 3.7% | -9.5% | ||||
| 3-rd Quarter | 31.7% | ||||||||||||
| S/E | Player | 21.2% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 5 |
Daniil Medvedev
|
100.0% | 84.6% | 73.4% | 54.0% | 42.4% | 30.4% | 20.9% | +25.4% | ||||
| Bye | |||||||||||||
|
John Isner
|
H 2 H |
53.5% | 8.4% | 4.4% | 1.6% | 0.6% | 0.2% | 0.1% | -85.6% | ||||
|
Brandon Nakashima
|
46.5% | 7.0% | 3.5% | 1.2% | 0.5% | 0.1% | 0.0% | -83.0% | |||||
Ilya Ivashka
|
H 2 H |
59.8% | 25.9% | 4.9% | 1.7% | 0.7% | 0.2% | 0.1% | -69.7% | ||||
|
Roman Safiullin
|
40.2% | 12.1% | 1.5% | 0.3% | 0.1% | 0.0% | 0.0% | -90.8% | |||||
| Bye | |||||||||||||
| 28 |
Botic Van De Zandschulp
|
100.0% | 62.0% | 12.2% | 4.5% | 1.8% | 0.6% | 0.2% | -59.0% | ||||
| S/E | Player | 4.9% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 22 |
Roberto Bautista Agut
|
100.0% | 66.1% | 24.7% | 7.6% | 3.5% | 1.2% | 0.4% | -49.2% | ||||
| Bye | |||||||||||||
Emil Ruusuvuori
|
H 2 H |
57.0% | 21.7% | 7.2% | 1.6% | 0.6% | 0.2% | 0.0% | -70.9% | ||||
|
Constant Lestienne
|
43.0% | 12.2% | 2.8% | 0.4% | 0.1% | 0.0% | 0.0% | -89.1% | |||||
|
Pedro Cachin
|
H 2 H |
54.6% | 10.0% | 3.3% | 0.5% | 0.1% | 0.0% | 0.0% | -72.2% | ||||
Nikoloz Basilashvili
|
45.4% | 5.3% | 1.4% | 0.2% | 0.0% | 0.0% | 0.0% | -90.2% | |||||
| Bye | |||||||||||||
| 12 |
Alexander Zverev
|
100.0% | 84.7% | 60.7% | 26.2% | 16.6% | 9.0% | 4.5% | -4.1% | ||||
| S/E | Player | 2.7% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 13 |
Karen Khachanov
|
100.0% | 80.6% | 56.2% | 32.3% | 12.0% | 5.4% | 2.3% | -9.4% | ||||
| Bye | |||||||||||||
|
Laslo Djere
|
H 2 H |
63.2% | 12.8% | 5.0% | 1.5% | 0.2% | 0.0% | 0.0% | -81.4% | ||||
|
Oscar Otte
|
36.8% | 6.7% | 2.2% | 0.5% | 0.1% | 0.0% | 0.0% | -73.5% | |||||
| WC |
Yibing Wu
|
H 2 H |
64.5% | 29.0% | 9.3% | 3.3% | 0.7% | 0.2% | 0.0% | -67.9% | |||
|
Jaume Munar
|
35.5% | 9.8% | 2.1% | 0.5% | 0.1% | 0.0% | 0.0% | -85.5% | |||||
| Bye | |||||||||||||
| 23 |
Alejandro Davidovich Fokina
|
100.0% | 61.2% | 25.2% | 11.7% | 3.3% | 1.1% | 0.4% | +0.4% | ||||
| S/E | Player | 2.8% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 29 |
Yoshihito Nishioka
|
100.0% | 68.1% | 27.7% | 12.0% | 3.2% | 1.1% | 0.3% | -41.0% | ||||
| Bye | |||||||||||||
Daniel Elahi Galan Riveros
|
H 2 H |
46.5% | 13.0% | 3.0% | 0.8% | 0.1% | 0.0% | 0.0% | -85.9% | ||||
| Q |
Christian Garin
|
53.5% | 18.9% | 5.9% | 2.1% | 0.4% | 0.1% | 0.0% | -51.0% | ||||
|
Diego Sebastian Schwartzman
|
H 2 H |
63.4% | 18.0% | 8.0% | 2.9% | 0.6% | 0.1% | 0.0% | -65.0% | ||||
|
Federico Coria
|
36.6% | 4.9% | 1.4% | 0.3% | 0.0% | 0.0% | 0.0% | -90.4% | |||||
| Bye | |||||||||||||
| 3 |
Casper Ruud
|
100.0% | 77.1% | 54.0% | 32.0% | 12.2% | 5.8% | 2.5% | -10.4% | ||||
| 4-th Quarter | 21.0% | ||||||||||||
| S/E | Player | 5.0% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 6 |
Andrey Rublev
|
100.0% | 76.0% | 55.4% | 35.5% | 19.4% | 9.1% | 4.5% | -6.6% | ||||
| Bye | |||||||||||||
Jiri Lehecka
|
H 2 H |
61.0% | 17.6% | 9.0% | 3.4% | 1.1% | 0.3% | 0.1% | -72.2% | ||||
|
Arthur Rinderknech
|
39.0% | 6.4% | 2.4% | 0.6% | 0.1% | 0.0% | 0.0% | -89.8% | |||||
|
Bernabe Zapata Miralles
|
H 2 H |
42.8% | 11.7% | 2.3% | 0.5% | 0.1% | 0.0% | 0.0% | -89.2% | ||||
|
Ugo Humbert
|
57.2% | 19.9% | 5.6% | 1.8% | 0.5% | 0.1% | 0.0% | -66.2% | |||||
| Bye | |||||||||||||
| 25 |
Denis Shapovalov
|
100.0% | 68.3% | 25.4% | 10.6% | 3.9% | 1.2% | 0.4% | -46.0% | ||||
| S/E | Player | 3.6% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 20 |
Matteo Berrettini
|
100.0% | 77.0% | 39.2% | 18.9% | 8.1% | 3.0% | 1.2% | -36.3% | ||||
| Bye | |||||||||||||
| Q |
Taro Daniel
|
H 2 H |
52.1% | 12.9% | 4.0% | 1.1% | 0.3% | 0.1% | 0.0% | -71.5% | |||
|
Roberto Carballes Baena
|
47.9% | 10.1% | 2.4% | 0.5% | 0.1% | 0.0% | 0.0% | -89.3% | |||||
Alexander Bublik
|
H 2 H |
82.5% | 22.5% | 8.4% | 2.6% | 0.7% | 0.1% | 0.0% | -78.8% | ||||
| Q |
Tung Lin Wu
|
17.5% | 2.4% | 0.4% | 0.1% | 0.0% | 0.0% | 0.0% | -67.5% | ||||
| Bye | |||||||||||||
| 10 |
Cameron Norrie
|
100.0% | 75.1% | 45.6% | 24.5% | 12.7% | 5.4% | 2.4% | -14.0% | ||||
| S/E | Player | 3.2% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 14 |
Frances Tiafoe
|
100.0% | 76.1% | 47.4% | 23.2% | 12.3% | 5.3% | 2.4% | +0.5% | ||||
| Bye | |||||||||||||
|
Marcos Giron
|
H 2 H |
72.7% | 21.3% | 8.1% | 2.2% | 0.6% | 0.1% | 0.0% | -73.1% | ||||
| WC |
Aleksandar Kovacevic
|
27.3% | 2.6% | 0.4% | 0.0% | 0.0% | 0.0% | 0.0% | -98.5% | ||||
|
Jason Kubler
|
H 2 H |
43.3% | 14.4% | 5.0% | 1.4% | 0.4% | 0.1% | 0.0% | -71.6% | ||||
|
Lorenzo Sonego
|
56.7% | 18.9% | 6.6% | 1.9% | 0.6% | 0.1% | 0.0% | -82.8% | |||||
| Bye | |||||||||||||
| 21 |
Grigor Dimitrov
|
100.0% | 66.7% | 32.6% | 13.2% | 5.8% | 2.0% | 0.7% | -42.1% | ||||
| S/E | Player | 9.2% | R64 | R32 | R16 | QF | SF | F | W | Bonus | |||
| 32 |
Maxime Cressy
|
100.0% | 69.3% | 16.1% | 5.6% | 1.7% | 0.4% | 0.1% | -50.4% | ||||
| Bye | |||||||||||||
| Q |
Alejandro Tabilo
|
H 2 H |
50.1% | 16.7% | 3.3% | 0.9% | 0.2% | 0.0% | 0.0% | -20.7% | |||
| Q |
Maximilian Marterer
|
49.9% | 14.0% | 1.9% | 0.4% | 0.1% | 0.0% | 0.0% | -87.0% | ||||
|
Jordan Thompson
|
H 2 H |
32.8% | 4.1% | 2.0% | 0.6% | 0.1% | 0.0% | 0.0% | -78.0% | ||||
| PR |
Gael Monfils
|
67.2% | 16.4% | 9.6% | 4.0% | 1.5% | 0.4% | 0.1% | -76.9% | ||||
| Bye | |||||||||||||
| 2 |
Stefanos Tsitsipas
|
100.0% | 79.4% | 67.1% | 46.4% | 29.7% | 16.2% | 9.0% | -2.6% | ||||
| 1-st Quarter | 27.1% | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| S/E | Player | 17.3% | R32 | R16 | QF | SF | F | W | |||
| 1 |
Carlos Alcaraz Garfia
|
H 2 H |
83.3% | 70.4% | 54.5% | 36.7% | 25.1% | 15.4% | |||
| Q |
Thanasi Kokkinakis
|
16.7% | 8.6% | 3.4% | 1.0% | 0.3% | 0.1% | ||||
| PR |
Guido Pella
|
H 2 H |
23.6% | 2.1% | 0.4% | 0.1% | 0.0% | 0.0% | |||
| 31 |
Tallon Griekspoor
|
76.4% | 18.9% | 8.3% | 2.7% | 0.9% | 0.2% | ||||
| 24 |
Daniel Evans
|
H 2 H |
44.3% | 20.3% | 5.7% | 1.9% | 0.6% | 0.1% | |||
|
Jack Draper
|
55.7% | 29.7% | 10.8% | 4.5% | 1.8% | 0.6% | |||||
|
Andy Murray
|
H 2 H |
72.0% | 41.1% | 15.2% | 6.3% | 2.6% | 0.8% | ||||
| LL |
Radu Albot
|
28.0% | 8.9% | 1.7% | 0.4% | 0.1% | 0.0% | ||||
| S/E | Player | 9.8% | R32 | R16 | QF | SF | F | W | |||
| 9 |
Hubert Hurkacz
|
H 2 H |
80.0% | 47.4% | 26.8% | 12.7% | 6.3% | 2.7% | |||
| LL |
Alexei Popyrin
|
20.0% | 5.5% | 1.5% | 0.3% | 0.1% | 0.0% | ||||
| Q |
Jan Lennard Struff
|
H 2 H |
23.5% | 6.6% | 2.0% | 0.5% | 0.1% | 0.0% | |||
| 17 |
Tommy Paul
|
76.5% | 40.5% | 22.7% | 10.7% | 5.2% | 2.1% | ||||
| 27 |
Francisco Cerundolo
|
H 2 H |
53.4% | 16.8% | 5.1% | 1.4% | 0.4% | 0.1% | |||
| WC |
Jack Sock
|
46.6% | 12.7% | 3.4% | 0.8% | 0.2% | 0.0% | ||||
|
Pedro Martinez Portero
|
H 2 H |
16.3% | 6.1% | 1.2% | 0.2% | 0.0% | 0.0% | ||||
| 8 |
Felix Auger Aliassime
|
83.7% | 64.5% | 37.2% | 20.0% | 10.8% | 4.8% | ||||
| 2-nd Quarter | 19.7% | ||||||||||
| S/E | Player | 9.2% | R32 | R16 | QF | SF | F | W | |||
| 4 |
Taylor Harry Fritz
|
H 2 H |
75.8% | 65.2% | 41.5% | 24.3% | 12.4% | 5.7% | |||
|
Ben Shelton
|
24.2% | 16.3% | 5.5% | 1.6% | 0.4% | 0.1% | |||||
| Q |
Rinky Hijikata
|
H 2 H |
41.8% | 5.6% | 0.9% | 0.1% | 0.0% | 0.0% | |||
| 30 |
Sebastian Baez
|
58.2% | 12.9% | 3.2% | 0.7% | 0.1% | 0.0% | ||||
| 18 |
Borna Coric
|
H 2 H |
72.2% | 34.1% | 16.7% | 7.3% | 2.7% | 1.0% | |||
|
Alex Molcan
|
27.8% | 8.7% | 2.8% | 0.8% | 0.2% | 0.0% | |||||
|
Marton Fucsovics
|
H 2 H |
25.0% | 10.3% | 3.8% | 1.2% | 0.3% | 0.1% | ||||
| 16 |
Alex De Minaur
|
75.0% | 46.9% | 25.6% | 13.0% | 5.7% | 2.3% | ||||
| S/E | Player | 10.5% | R32 | R16 | QF | SF | F | W | |||
| 11 |
Jannik Sinner
|
H 2 H |
73.3% | 55.7% | 36.3% | 22.5% | 12.3% | 6.0% | |||
|
Richard Gasquet
|
26.7% | 13.8% | 5.3% | 1.9% | 0.5% | 0.1% | |||||
|
Adrian Mannarino
|
H 2 H |
45.1% | 13.2% | 4.9% | 1.6% | 0.4% | 0.1% | ||||
| 19 |
Lorenzo Musetti
|
54.9% | 17.3% | 6.7% | 2.3% | 0.7% | 0.2% | ||||
| 26 |
Miomir Kecmanovic
|
H 2 H |
49.0% | 15.7% | 5.2% | 1.8% | 0.5% | 0.1% | |||
| PR |
Stan Wawrinka
|
51.0% | 18.2% | 7.3% | 2.9% | 0.9% | 0.3% | ||||
|
Mackenzie Mcdonald
|
H 2 H |
29.9% | 15.2% | 5.6% | 2.0% | 0.6% | 0.1% | ||||
| 7 |
Holger Vitus Nodskov Rune
|
70.1% | 50.8% | 28.7% | 16.1% | 7.9% | 3.5% | ||||
| 3-rd Quarter | 31.6% | ||||||||||
| S/E | Player | 26.2% | R32 | R16 | QF | SF | F | W | |||
| 5 |
Daniil Medvedev
|
H 2 H |
85.0% | 73.2% | 54.2% | 42.8% | 30.4% | 21.1% | |||
|
Brandon Nakashima
|
15.0% | 7.3% | 2.6% | 1.0% | 0.3% | 0.1% | |||||
|
Ilya Ivashka
|
H 2 H |
43.3% | 8.2% | 2.9% | 1.1% | 0.3% | 0.1% | ||||
| 28 |
Botic Van De Zandschulp
|
56.7% | 11.2% | 4.2% | 1.7% | 0.5% | 0.2% | ||||
| 22 |
Roberto Bautista Agut
|
H 2 H |
61.9% | 23.6% | 7.3% | 3.4% | 1.2% | 0.4% | |||
|
Emil Ruusuvuori
|
38.1% | 12.9% | 2.9% | 1.1% | 0.3% | 0.1% | |||||
|
Pedro Cachin
|
H 2 H |
18.3% | 5.8% | 0.9% | 0.2% | 0.0% | 0.0% | ||||
| 12 |
Alexander Zverev
|
81.7% | 57.7% | 24.9% | 15.9% | 8.5% | 4.3% | ||||
| S/E | Player | 5.4% | R32 | R16 | QF | SF | F | W | |||
| 13 |
Karen Khachanov
|
H 2 H |
81.9% | 56.9% | 33.1% | 12.3% | 5.5% | 2.4% | |||
|
Oscar Otte
|
18.1% | 5.7% | 1.4% | 0.2% | 0.0% | 0.0% | |||||
| WC |
Yibing Wu
|
H 2 H |
45.0% | 14.6% | 5.3% | 1.1% | 0.3% | 0.1% | |||
| 23 |
Alejandro Davidovich Fokina
|
55.0% | 22.8% | 10.6% | 3.0% | 1.0% | 0.3% | ||||
| 29 |
Yoshihito Nishioka
|
H 2 H |
64.7% | 26.7% | 11.6% | 3.1% | 1.0% | 0.3% | |||
| Q |
Christian Garin
|
35.3% | 11.2% | 4.1% | 0.9% | 0.2% | 0.0% | ||||
|
Diego Sebastian Schwartzman
|
H 2 H |
28.4% | 12.4% | 4.5% | 0.9% | 0.2% | 0.1% | ||||
| 3 |
Casper Ruud
|
71.6% | 49.7% | 29.5% | 11.3% | 5.3% | 2.3% | ||||
| 4-th Quarter | 21.6% | ||||||||||
| S/E | Player | 8.6% | R32 | R16 | QF | SF | F | W | |||
| 6 |
Andrey Rublev
|
H 2 H |
71.1% | 51.4% | 32.4% | 17.5% | 8.3% | 4.1% | |||
|
Jiri Lehecka
|
28.9% | 14.5% | 5.4% | 1.7% | 0.4% | 0.1% | |||||
|
Ugo Humbert
|
H 2 H |
34.8% | 9.9% | 3.0% | 0.8% | 0.2% | 0.0% | ||||
| 25 |
Denis Shapovalov
|
65.2% | 24.3% | 9.9% | 3.6% | 1.1% | 0.4% | ||||
| 20 |
Matteo Berrettini
|
H 2 H |
75.2% | 37.6% | 18.4% | 7.7% | 2.9% | 1.1% | |||
| Q |
Taro Daniel
|
24.8% | 7.7% | 2.2% | 0.5% | 0.1% | 0.0% | ||||
| Q |
Tung Lin Wu
|
H 2 H |
13.6% | 2.5% | 0.4% | 0.0% | 0.0% | 0.0% | |||
| 10 |
Cameron Norrie
|
86.4% | 52.2% | 28.4% | 14.5% | 6.2% | 2.8% | ||||
| S/E | Player | 13.1% | R32 | R16 | QF | SF | F | W | |||
| 14 |
Frances Tiafoe
|
H 2 H |
70.7% | 44.1% | 21.0% | 11.1% | 4.8% | 2.1% | |||
|
Marcos Giron
|
29.3% | 11.1% | 2.9% | 0.8% | 0.2% | 0.0% | |||||
|
Jason Kubler
|
H 2 H |
33.3% | 11.7% | 3.2% | 1.0% | 0.2% | 0.1% | ||||
| 21 |
Grigor Dimitrov
|
66.7% | 33.1% | 13.1% | 5.7% | 2.0% | 0.7% | ||||
| 32 |
Maxime Cressy
|
H 2 H |
66.7% | 14.7% | 5.2% | 1.6% | 0.4% | 0.1% | |||
| Q |
Alejandro Tabilo
|
33.3% | 6.0% | 1.7% | 0.4% | 0.1% | 0.0% | ||||
|
Jordan Thompson
|
H 2 H |
12.6% | 6.0% | 1.7% | 0.4% | 0.1% | 0.0% | ||||
| 2 |
Stefanos Tsitsipas
|
87.4% | 73.2% | 51.1% | 32.6% | 17.8% | 10.0% | ||||
| Top Half | 47.9% | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| S/E | Player | 27.1% | R16 | QF | SF | F | W | |||
| 1 |
Carlos Alcaraz Garfia
|
H 2 H |
81.5% | 60.6% | 39.8% | 26.3% | 16.0% | |||
| 31 |
Tallon Griekspoor
|
18.5% | 7.4% | 2.3% | 0.7% | 0.2% | ||||
|
Jack Draper
|
H 2 H |
46.4% | 14.6% | 5.7% | 2.1% | 0.7% | ||||
|
Andy Murray
|
53.6% | 17.3% | 6.8% | 2.6% | 0.9% | |||||
| 9 |
Hubert Hurkacz
|
H 2 H |
53.4% | 28.1% | 12.4% | 5.9% | 2.5% | |||
| 17 |
Tommy Paul
|
46.6% | 24.2% | 10.6% | 4.9% | 2.0% | ||||
| 27 |
Francisco Cerundolo
|
H 2 H |
24.7% | 6.6% | 1.6% | 0.4% | 0.1% | |||
| 8 |
Felix Auger Aliassime
|
75.3% | 41.2% | 20.9% | 10.7% | 4.8% | ||||
| S/E | Player | 20.8% | R16 | QF | SF | F | W | |||
| 4 |
Taylor Harry Fritz
|
H 2 H |
83.1% | 64.6% | 35.1% | 17.3% | 8.1% | |||
| 30 |
Sebastian Baez
|
16.9% | 6.3% | 1.2% | 0.2% | 0.0% | ||||
|
Alex Molcan
|
H 2 H |
45.4% | 12.0% | 2.8% | 0.6% | 0.1% | ||||
|
Marton Fucsovics
|
54.6% | 17.1% | 4.7% | 1.2% | 0.3% | |||||
| 11 |
Jannik Sinner
|
H 2 H |
77.3% | 46.7% | 29.0% | 15.4% | 7.5% | |||
|
Adrian Mannarino
|
22.7% | 7.2% | 2.5% | 0.6% | 0.1% | |||||
| PR |
Stan Wawrinka
|
H 2 H |
29.2% | 10.2% | 4.2% | 1.2% | 0.4% | |||
| 7 |
Holger Vitus Nodskov Rune
|
70.8% | 35.9% | 20.5% | 9.8% | 4.3% | ||||
| Bottom Half | 52.1% | |||||||||
| S/E | Player | 35.6% | R16 | QF | SF | F | W | |||
| 5 |
Daniil Medvedev
|
H 2 H |
86.3% | 62.9% | 48.4% | 36.1% | 24.6% | |||
|
Ilya Ivashka
|
13.7% | 4.6% | 1.6% | 0.5% | 0.1% | |||||
|
Emil Ruusuvuori
|
H 2 H |
27.0% | 4.9% | 1.7% | 0.5% | 0.1% | ||||
| 12 |
Alexander Zverev
|
73.0% | 27.6% | 16.8% | 9.7% | 4.7% | ||||
| 13 |
Karen Khachanov
|
H 2 H |
65.3% | 35.1% | 11.8% | 5.9% | 2.4% | |||
| 23 |
Alejandro Davidovich Fokina
|
34.7% | 14.9% | 3.7% | 1.4% | 0.4% | ||||
| Q |
Christian Garin
|
H 2 H |
24.4% | 7.9% | 1.4% | 0.4% | 0.1% | |||
| 3 |
Casper Ruud
|
75.6% | 42.2% | 14.6% | 7.4% | 3.1% | ||||
| S/E | Player | 16.5% | R16 | QF | SF | F | W | |||
| 6 |
Andrey Rublev
|
H 2 H |
77.9% | 50.2% | 33.1% | 14.7% | 7.1% | |||
|
Ugo Humbert
|
22.1% | 7.1% | 2.7% | 0.6% | 0.1% | |||||
| Q |
Taro Daniel
|
H 2 H |
24.7% | 6.2% | 2.2% | 0.4% | 0.1% | |||
| 10 |
Cameron Norrie
|
75.3% | 36.6% | 23.3% | 9.2% | 4.0% | ||||
| 14 |
Frances Tiafoe
|
H 2 H |
72.0% | 56.0% | 28.0% | 11.2% | 4.8% | |||
|
Jason Kubler
|
28.0% | 16.1% | 4.4% | 0.9% | 0.2% | |||||
| Q |
Alejandro Tabilo
|
H 2 H |
45.0% | 12.7% | 2.8% | 0.5% | 0.1% | |||
|
Jordan Thompson
|
55.0% | 15.1% | 3.4% | 0.6% | 0.1% | |||||
| S/E | Player | 47.4% | QF | SF | F | W | |||
|---|---|---|---|---|---|---|---|---|---|
| 1 |
Carlos Alcaraz Garfia
|
H 2 H |
75.0% | 47.4% | 31.2% | 18.3% | |||
|
Jack Draper
|
25.0% | 9.5% | 3.4% | 1.0% | |||||
| 17 |
Tommy Paul
|
H 2 H |
45.1% | 17.8% | 8.0% | 3.1% | |||
| 8 |
Felix Auger Aliassime
|
54.9% | 25.3% | 12.8% | 5.5% | ||||
| 4 |
Taylor Harry Fritz
|
H 2 H |
75.6% | 41.1% | 19.2% | 8.6% | |||
|
Marton Fucsovics
|
24.4% | 6.9% | 1.6% | 0.3% | |||||
| 11 |
Jannik Sinner
|
H 2 H |
71.4% | 41.5% | 21.0% | 9.8% | |||
| PR |
Stan Wawrinka
|
28.6% | 10.5% | 2.9% | 0.8% | ||||
| S/E | Player | 52.6% | QF | SF | F | W | |||
| 5 |
Daniil Medvedev
|
H 2 H |
68.0% | 57.4% | 41.8% | 28.1% | |||
| 12 |
Alexander Zverev
|
32.0% | 23.4% | 12.8% | 6.0% | ||||
| 23 |
Alejandro Davidovich Fokina
|
H 2 H |
60.3% | 13.1% | 4.5% | 1.3% | |||
| Q |
Christian Garin
|
39.7% | 6.1% | 1.6% | 0.3% | ||||
| 6 |
Andrey Rublev
|
H 2 H |
58.8% | 35.8% | 15.4% | 7.2% | |||
| 10 |
Cameron Norrie
|
41.2% | 24.3% | 9.3% | 3.8% | ||||
| 14 |
Frances Tiafoe
|
H 2 H |
77.3% | 35.7% | 13.9% | 5.7% | |||
| Q |
Alejandro Tabilo
|
22.7% | 4.2% | 0.7% | 0.1% | ||||
| S/E | Player | SF | F | W | ||
|---|---|---|---|---|---|---|
| 1 |
Carlos Alcaraz Garfia
|
H 2 H |
60.0% | 37.3% | 20.7% | |
| 8 |
Felix Auger Aliassime
|
40.0% | 18.4% | 7.2% | ||
| 4 |
Taylor Harry Fritz
|
H 2 H |
48.1% | 20.5% | 8.3% | |
| 11 |
Jannik Sinner
|
51.9% | 23.9% | 10.2% | ||
| 5 |
Daniil Medvedev
|
H 2 H |
82.4% | 60.8% | 39.4% | |
| 23 |
Alejandro Davidovich Fokina
|
17.6% | 6.3% | 1.6% | ||
| 10 |
Cameron Norrie
|
H 2 H |
52.7% | 17.3% | 6.6% | |
| 14 |
Frances Tiafoe
|
47.3% | 15.7% | 6.0% | ||
| S/E | Player | F | W | ||
|---|---|---|---|---|---|
| 1 |
Carlos Alcaraz Garfia
|
H 2 H |
59.9% | 30.8% | |
| 11 |
Jannik Sinner
|
40.1% | 15.3% | ||
| 5 |
Daniil Medvedev
|
H 2 H |
73.9% | 44.8% | |
| 14 |
Frances Tiafoe
|
26.1% | 9.1% | ||
| S/E | Player | W | ||
|---|---|---|---|---|
| 1 |
Carlos Alcaraz Garfia
|
H 2 H |
45.0% | |
| 5 |
Daniil Medvedev
|
55.0% | ||
| S/E | Player | W | ||
|---|---|---|---|---|
| 1 |
Carlos Alcaraz Garfia
|
H 2 H |
100.0% | |
| 5 |
Daniil Medvedev
|
0.0% | ||
* Tournament Event Forecasts are driven by 
Tennis Crystal Ball Match Prediction Algorithm
** Draw Bonus is visible only on entry round forecast tab
About Tournament Forecast
Tournament Forecast is driven by individual Match Prediction. In each round, probabilities for each match in the draw are calculated using Neural Network Match Prediction Algorithm.
Based on this probabilities, chances for probable matchups in the further tournament rounds are calculated. Finally, the probability of the player to win the title is calculated as a multiplier of probabilities to win in the each of the rounds.
If the round is far, like semi-final or final, there are many potential opponents and probabilities for a player to win over all of them are calculated.
For example, a probability to win the title depends on the probability of the player to reach the final as well as probabilities of all players in the other half of the draw to reach the final, multiplied by probabilities for a player to win the final match over the each of them.
Tracking Tournament Progress
As a tournament progresses, the outcome of some matches gets known, thus the match probabilities are set to 100% and 0% for the winner and for the loser respectively.
Elo Ratings are recalculated after the each round and Elo rating points earned/lost by wins/loss in all the previous rounds (including current round if the match is finished) are presented in brackets.
Unknown Qualifiers
Sometimes, as initial tournament draws are out, they include unknown qualifiers. The probability for the player to win over an unknown qualifier is determined by variation of the Match Prediction algorithm that includes average Elo Rating and ATP ranking points of the qualifiers as well as winning percentages vs qualifiers, overall and by surface, level, etc...
Mathematical details
Lets name match probability that player A wins over player B as PmA vs B.
These probabilities determine the probability for each player to pass to the second round PrA(R2) = PmA vs B.
The probability of the player A to reach the next round R+1 is calculated this way:
PrA(R+1) = PrA(R) * ΣN=1-n ( PrN(R) * PmA vs N )
This means that probability for player A to reach the next round R+1 depend on probability for player A to reach the previous round R multiplied by the weighted sum of probabilities for player A to win over his potential opponents in the next round.
Weights of the potential opponents are the probabilities of each opponent to reach the round R.
Tennis Crystal Ball Match Prediction AlgorithmAbout Tennis Crystal Ball Match Prediction Algorithm
Match Prediction is based on players' previous results and track records.
Previous results are analyzed by the Neural Network algorithm with ~60 neurons for different features about players like Elo Ratings, ATP Points,
Head-to-Head ratios, Winning Percentages and Recent Form varied by surface, tournament level, round, tournament, recency, match or set ratios, vs rank, vs hand, vs backhand...
Match win probabilities given by each of the features (neurons) are then combined by the neural network using different weights.
Training and Tuning
Neural Network is trained on the historical data for the highest prediction rates and to determine optimal feature weights.
In order to further increase prediction accuracy, the Neural Network is trained specifically for different surfaces, resulting in different feature weights per surface.
During training, some neurons are determined to be useless and they are removed from the network, thus about ~40 neurons remain.
Primary and Secondary Probability Contributors
Elo Ratings, overall, by surface and by set, are the primary contributors to the match prediction, followed by the recent form, H2H and winning percentages.
Elo Rating neurons individually give high prediction rates, but when they are combined with the recent form, H2H and various winning percentages, the prediction accuracy is even further increased.
However, the importance of the secondary contributors is very surface dependent, so for example on grass, recent form is pretty much irrelevant because the momentum of form is often disturbed by the surface adaptation and because of a relatively short length of the grass season.
Instead, winning percentages are more important on grass than on other surfaces.
Draw Bonus represents how much a player has benefited or penalized with the actual draw. It is calculated as a relative difference in the title-winning percentage of the actual draw compared to the average draw without seeding and with random byes. Thus Draw Bonus incorporates both draw luck and draw seeding factors.