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Tennis

Tennis stats

The tool for those who build their own bet. Filter and find your value.

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Filter by win rate, aces, double faults, service games and break points per player and surface. Build your read of the match with real data. How our model works →

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Combine the filters (min/max) to see only the matches that fit your bet. Hover the ⓘ on each filter, or click a match for its full analysis (history, H2H and key facts).

Match
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Showing 76–136 of 136 matches (page 2 of 2).

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ⓘ Date Tournament Players Form ⓘ Win % ⓘ Sets ⓘ Games ⓘ Aces ⓘ Double faults ⓘ 1st serve % ⓘ Break % ⓘ H2H ⓘ Odds ⓘ
02/07, 18:00View analysis ↗ W35 Amstelveen Anouck Vrancken Peeters WLLLL 40% 1.2-1.3 11.3-12 0.8 10.1 62.2% 52.4% – 1.83
Antonia Stoyanov WWWWW 80% 1.6-0.5 11-8 1.1 3 66.3% 50.8% 1.83
02/07, 18:00View analysis ↗ M25 Ajaccio Hugo Grenier WLLLL 20% 0.4-1.8 8.1-12.6 6.3 3.2 65.5% 29.2% – 1.73
Paul Inchauspe WWWWW 80% 1.7-0.6 13.1-9.1 6.4 2.3 74% 41% 2.00
02/07, 18:30View analysis ↗ M15 Getxo Pedro Rodenas WLWWL 60% 1.4-0.9 11.2-9.5 2.2 2.6 62% 47.9% 1–0 1.22
Pavlos Tsitsipas WLWLW 70% 1.5-0.7 11.8-9.9 5.2 3.6 72.2% 44.4% 4.00
02/07, 18:30View analysis ↗ Premier Padel Bordeaux Coello/Tapia WWWWW 100% 2-0.1 13-7.6 0 0 74.2% 48.7% – 1.07
Gil/Sanchez LLLWL 30% 0.8-1.6 10.7-12.2 0 0.1 59.5% 34.4% 7.50
02/07, 19:00View analysis ↗ W35 Aix-les-Bains Astrid Lew Yan Foon WLLLL 30% 0.7-1.4 8.5-11.2 2.5 3.1 63.9% 43.7% – 2.63
Oceane Dodin WLWWL 50% 1.2-1.2 9.9-12.3 10.3 5 66.1% 40.9% 1.44
02/07, 20:00View analysis ↗ W50 Elvas Lucie Havlickova WLLWW 30% 1-1.5 11.7-12.2 6.5 7.1 66.7% 58.7% – 1.33
Stephanie Judith Visscher WLLWW 60% 1.3-0.9 10.8-8.3 4 2.7 74.2% 51.8% 3.25
02/07, 20:00View analysis ↗ W50 Elvas Elena Micic WLWWW 60% 1.1-1.2 10.8-10.7 2.2 7.5 65.1% 39.3% – 2.63
Han Shi WLWWL 50% 1-1.2 9.5-9.3 2.4 4.2 65.3% 37.5% 1.44
02/07, 21:00View analysis ↗ W15 San Diego Alexandra Vagramov LWWWL 60% 1.2-1 9.9-8.9 2.3 7.3 64.1% 49.6% – 1.36
Maria Aytoyan WLLWW 60% 1.4-0.8 11.8-9.5 0.6 3.4 62% 59.9% 3.00
02/07, 21:00View analysis ↗ W15 San Diego Krisha Mahendran WLWWW 70% 1.5-0.7 10.5-8.1 0.7 2.2 59.4% 57.1% – 1.53
Anya Arora WLWLL 60% 1.3-1.1 11.5-9.6 0.5 4 53.5% 40% 2.38
02/07, 21:00View analysis ↗ M15 San Diego Rafael De Alba WLWLW 50% 1-1.3 8.2-11 0.9 3.9 58% 42% – 5.50
Theodore Dean WLWLL 60% 1.3-1 11.7-10.3 0.8 3.9 63% 46.8% 1.13
02/07, 21:00View analysis ↗ M15 San Diego Matic Kriznik WWLLW 80% 1.6-0.5 10.6-7.6 1.8 2.9 60.7% 38.7% – 2.00
Vit Kalina WWLWW 60% 1.3-0.9 10-9.8 1.8 3.5 65% 61.9% 1.73
02/07, 21:00View analysis ↗ M15 San Diego Maxwell Exsted WLWLW 50% 1-1.3 11.4-12 0.8 1.8 61.9% 37.3% – 2.50
Bryce Nakashima WWLWL 70% 1.4-0.8 12.1-8.8 5.5 2.1 79.6% 40.5% 1.50
02/07, 21:30View analysis ↗ W50 Elvas Anna Kubareva WWLWW 90% 1.8-0.4 12.4-7.3 0.2 5.6 67.2% 47.2% 1–0 2.50
Hina Inoue WLLWW 50% 1.1-1 10.1-9.6 4.2 2.6 69.3% 42.7% 1.50
02/07, 22:30View analysis ↗ M15 San Diego Liam Krall WLWLL 50% 1.2-1.1 10.5-10.3 2.5 3.7 68.2% 49.7% – 1.22
Roshan Santhosh WLLLW 60% 1.2-1.1 9.7-10.7 1.7 2.3 56% 30.3% 4.00
02/07, 22:30View analysis ↗ W15 San Diego Alina Shcherbinina WWLWW 90% 1.8-0.3 12-5.9 1.1 4.6 67.5% 49.8% 1–0 1.73
Anne Christine Lutkemeyer Obregon WLWWL 70% 1.6-0.8 13.2-10.6 2.1 4.7 63.8% 43.2% 2.00
02/07, 22:30View analysis ↗ M15 San Diego Benjamin O'Connell WLWLW 50% 1.1-1.1 9.2-9.9 1.6 2.9 64.1% 37.9% – 4.50
Noah Zamora WLWWL 60% 1.2-1 10.9-9.9 3 0.9 66.2% 38.3% 1.17
02/07, 23:00View analysis ↗ Challenger Cary MD Reynolds/Watt LWWLW 50% 1.2-1.1 14.3-14.1 3.6 2.2 77.7% 41.9% – 1.28
Ayeni/Cook LLLWW 50% 1-1.2 10.4-11 3.6 3 69.4% 33.6% 3.50
03/07, 00:30View analysis ↗ W100 Cary WD Kobori/Plipuech LLLLW 40% 1.1-1.4 12.8-14.6 0.2 1.6 54.2% 46.4% – 1.57
Broadus/Rencheli WWWWL 80% 1.8-0.4 11.5-7.1 0.7 2.8 68.8% 57.7% 2.25
03/07, 02:00View analysis ↗ UTR Pro Newport Beach Liam Spiers LWLLL 30% 0.8-1.6 10.2-12.3 1.9 3.8 61.5% 37.9% – 5.50
JP Day WWWWW 70% 1.4-0.6 10.4-7 2.6 1.8 67.9% 67.1% 1.13
03/07, 02:00View analysis ↗ UTR Pro Newport Beach Brayden Tallakson LLLLW 40% 0.9-1.3 7.9-10.1 1.3 3.1 55.3% 23% – 1.61
Ilan Klein WLWWL 70% 1.5-0.9 11.7-10.1 3.5 3.6 72% 50.6% 2.20
03/07, 02:00View analysis ↗ UTR Pro Newport Beach Maciej Rajski WWWWW 100% 2-0.2 12.5-6.4 2.6 2.3 72.9% 65.6% 1–0 1.07
Noble Renfrow WLLWL 60% 1.3-1 12.8-11.5 8 4.5 71.6% 59.4% 7.50
03/07, 02:00View analysis ↗ UTR Pro Newport Beach Women Nicole Weng WWLLL 50% 1.1-1.2 10.3-10.4 0.4 5.1 58% 52.2% – 1.14
Ares Teixido Garcia WLLLW 30% 0.8-1.4 9.6-11.4 0.8 10.9 59.8% 46.2% 5.00
03/07, 02:00View analysis ↗ UTR Pro Newport Beach Women Daniela Borruel WWLWW 80% 1.6-0.6 11.4-6.7 0.6 2.6 61.2% 57.8% – 1.08
Paula Dougherty LWLLW 30% 1-1.5 10.3-11.7 2.2 9.7 57.5% 46.7% 7.00
03/07, 03:00View analysis ↗ M15 Tokyo Matthew Dellavedova WWLLW 80% 1.7-0.3 10.5-6.5 1.5 1.3 69.5% 49.4% – 1.28
Koki Matsuda WWLLL 70% 1.4-0.8 10.9-10 6.8 2.3 75.9% 40.2% 3.50
03/07, 03:00View analysis ↗ M15 Tokyo Omar Jasika WWLWW 90% 1.9-0.3 12.9-5.7 1.6 2.7 73.6% 53.3% – 1.73
Sanhui Shin WWLWW 90% 1.8-0.4 12.2-7.1 2.2 1.4 72.6% 60.2% 2.00
03/07, 03:30View analysis ↗ UTR Pro Newport Beach Christopher Rodi LLWWL 40% 0.9-1.3 9.6-10.6 1 4.2 64.3% 45.8% – 3.25
Pavel Bushuev LWLLW 50% 1.1-1.3 10.8-10.5 5.5 3.3 69.7% 45% 1.33
03/07, 03:30View analysis ↗ UTR Pro Newport Beach Women Emily Deming LWWLL 50% 1-1.2 9-9.8 0.7 5.9 59.3% 51% – 1.17
Alexandra Wolf LWWLL 50% 1.2-1.2 10.7-10.6 0.6 3.7 58.3% 52.9% 4.50
03/07, 03:30View analysis ↗ UTR Pro Newport Beach Women Lily Fairclough WWLWL 60% 1.4-0.9 11.5-8.9 1.4 2 62.2% 72.7% – 1.25
Eduarda Piai WLWWL 50% 1.4-1.2 12.2-11.2 1.3 5.5 61.8% 45.4% 3.75
03/07, 04:00View analysis ↗ M15 Wuning Tianhui Zhang WWLLW 80% 1.6-0.5 10.6-8.2 2 3.6 71.5% 38.9% 0–1 1.61
Hanyi Liu WWLWW 80% 1.7-0.4 10.7-6.6 1.7 1.9 72% 54.5% 2.20
03/07, 04:00View analysis ↗ W15 Maanshan Anna Snigireva WWLWW 70% 1.5-0.9 13.5-10.1 1.2 7.2 61.7% 59.7% 0–1 2.75
Chenting Zhu WWLWW 70% 1.4-0.7 11.4-8.5 2.4 3 67.9% 53.7% 1.40
03/07, 04:00View analysis ↗ W15 Maanshan JiaYi Wang WWLWW 60% 1.3-1 11-8.9 1.3 1.6 66.1% 45.9% 2–0 1.50
Yuhan Wang WWLLL 60% 1.3-0.8 9-7.3 0.9 4.4 65.5% 53% 2.50
03/07, 04:00View analysis ↗ W15 Maanshan Shiyu Ye WWLLW 50% 1.1-1.3 10.2-11.4 0.9 2.3 58.4% 41.7% 1–1 2.38
Meiqi Guo WWLWW 60% 1.5-0.8 11.1-8.7 2.3 2.8 68.5% 49.1% 1.53
03/07, 09:30View analysis ↗ Challenger Brasov Sascha Gueymard Wayenburg WWLWL 40% 0.9-1.4 10.9-12 6.9 4.6 68.9% 35.9% – 2.38
Maks Kasnikowski WWLWL 60% 1.5-0.9 12.3-11 3.4 1.1 75.9% 40.1% 1.53
03/07, 09:30View analysis ↗ Challenger Brasov Andrej Nedic WWLWW 80% 1.7-0.5 12.8-8.1 1.9 1.3 67.4% 56.6% – 1.33
Keegan Smith WWLWL 60% 1.5-1.1 14.8-12.9 8.1 1 74.8% 41.4% 3.25
03/07, 10:00View analysis ↗ Challenger Milan Gustavo Heide WWLWW 80% 1.6-0.6 11.7-8.8 7.7 5.4 74.1% 48.8% – 1.44
Enrico Dalla Valle WWWLW 70% 1.5-0.6 11.3-7.5 4.3 1.4 74.2% 51.3% 2.63
03/07, 10:00View analysis ↗ Challenger Milan Francisco Comesana WWLLW 70% 1.9-1.1 16.8-14 6.8 3.7 78% 39.7% – 1.33
Daniel Rincon WLWWL 70% 1.4-0.9 10.9-10.1 3 2.2 64.4% 51.9% 3.25
03/07, 10:00View analysis ↗ W35 Aix-les-Bains Madison Sieg WWLWW 60% 1.4-1 10.5-10.3 1.2 3.6 57.9% 43.3% – 3.50
Lisa Zaar WWLLW 70% 1.6-0.7 12.2-9.2 0.1 1.7 58.7% 50.9% 1.28
03/07, 10:00View analysis ↗ W35 Aix-les-Bains Alina Granwehr WWLWL 70% 1.5-0.8 11.9-9.8 2.4 4.8 65.7% 53.3% – 1.73
Carlota Martinez Cirez WWLWW 60% 1.3-1 11.3-9.9 0 3 57.8% 58% 2.00
03/07, 10:30View analysis ↗ Challenger Troyes Lorenzo Giustino WWLLL 30% 0.9-1.6 11.3-13.2 7.6 4.8 65.1% 50.5% – 1.83
Igor Marcondes WWLLW 60% 1.5-1.2 14-12.4 4.1 2.8 69.4% 32.8% 1.83
03/07, 10:30View analysis ↗ Challenger Troyes Marvin Moeller WWLWW 70% 1.5-0.7 12.3-8.9 2.1 2 68% 47.4% 0–1 2.20
Marat Sharipov WLWWW 60% 1.4-0.9 12-9.8 5.7 2.7 72.4% 42.9% 1.61
03/07, 12:00View analysis ↗ Wimbledon WD Errani/Paolini LWLWW 60% 1.3-0.8 11.1-10 0.3 0.8 61.6% 45% – 1.20
Kozyreva/Shymanovich LWWLL 40% 1.2-1.5 15.3-16.7 1 1.8 59.4% 36.2% 4.33
03/07, 12:00View analysis ↗ Wimbledon Women Daria Kasatkina WWLLL 50% 1.2-1.2 11.5-11.6 1.9 6 60.5% 56% 0–3 4.33
Naomi Osaka WWWWW 90% 1.8-0.3 12.6-8.1 6.1 2 77.1% 51.7% 1.22
03/07, 12:00View analysis ↗ Wimbledon Hubert Hurkacz WWLWL 50% 1.8-1.3 17-15.6 15.6 3.2 76.7% 40.8% 1–3 2.20
Tommy Paul WWLWW 80% 2.3-0.6 17.1-12.2 9.8 2.2 77.5% 50.2% 1.67
03/07, 12:00View analysis ↗ Wimbledon Alejandro Davidovich Fokina WWWWW 80% 1.9-0.5 13.6-10.3 5 1.1 74.7% 40.1% 1–1 1.30
Marton Fucsovics WLLWL 30% 0.9-1.7 12.2-15.1 5 5.1 70.9% 23% 3.50
03/07, 12:00View analysis ↗ Wimbledon Jannik Sinner WWLWW 90% 2.3-0.6 16.2-11 9 2.3 78.6% 47.2% 1–0 1.03
Jenson Brooksby WWLWL 40% 1.1-1.4 11.5-12 3.4 0.6 65.5% 39% 15.00
03/07, 12:00View analysis ↗ Wimbledon Women Karolina Muchova WWWWW 80% 1.6-0.5 11.3-7.3 4.7 2.5 75.6% 62.7% – 1.07
Mananchaya Sawangkaew WWWWW 80% 1.6-0.8 12.3-10.7 2.6 4.2 62.8% 50.2% 9.00
03/07, 12:00View analysis ↗ Wimbledon Women Aryna Sabalenka WWLWW 80% 1.8-0.5 12.5-9.6 5.1 2.7 71.3% 57.9% 3–1 1.20
Jelena Ostapenko WWWWW 80% 1.7-0.7 12.3-8.3 5.3 6.3 75.4% 51.3% 4.50
03/07, 12:00View analysis ↗ Wimbledon Women Claire Liu WWWWW 80% 1.7-0.6 12.7-7.8 8.6 1.5 68.1% 65.2% 0–1 7.00
Coco Gauff WWLLW 70% 1.7-0.9 13.8-10.8 3.3 3.8 69.8% 46% 1.10
03/07, 12:00View analysis ↗ Wimbledon Women Jessica Pegula WWLWW 70% 1.6-0.7 12.3-9.3 4.7 1.2 70.3% 43.3% 1–0 1.08
Jessica Bouzas Maneiro WWLWL 50% 1-1.2 9.6-10.3 1.3 2.6 60.7% 43% 8.00
03/07, 12:00View analysis ↗ Wimbledon Women Nikola Bartunkova WWLWW 70% 1.7-0.9 15.1-12.6 5.8 5.1 73.7% 41% – 2.75
Barbora Krejcikova WWLWW 70% 1.5-0.8 12.2-9.7 5.2 3 72.6% 35.5% 1.44
03/07, 12:00View analysis ↗ Wimbledon Women Ekaterina Alexandrova WWLWW 40% 1-1.3 10.9-11.5 4.3 4.8 66.6% 36.7% 1–0 2.63
Iva Jovic WWLWW 70% 1.6-0.7 12-8.7 2.1 3.3 70.5% 50.5% 1.50
03/07, 12:00View analysis ↗ Wimbledon Women Belinda Bencic WWLWW 70% 1.6-0.6 11.4-8.2 2 2.8 69.9% 48.1% 3–1 1.40
Anna Kalinskaya WWLWL 70% 1.4-0.9 11.2-11 2.7 4.7 63.8% 47.3% 3.00
03/07, 12:00View analysis ↗ Wimbledon Roman Safiullin WWWWW 70% 2-1.3 18.5-16.9 8.9 3.4 78.3% 51.4% – 3.20
Joao Fonseca WWLLW 60% 2-1.4 18-16.2 6.5 1.6 67.1% 39.2% 1.36
03/07, 12:00View analysis ↗ Wimbledon Felix Auger Aliassime WWLWW 70% 2-1 16.9-13.8 13.7 2.5 80.1% 45.5% – 1.17
Michael Zheng WWWWW 70% 1.9-1.1 17-14.4 11.8 3 73.8% 53.5% 5.00
03/07, 12:00View analysis ↗ Wimbledon Arthur Rinderknech WWLLW 50% 1.6-1.3 15.9-15.3 15.9 3.7 80.9% 19.7% – 6.00
Novak Djokovic WWLWW 60% 2.1-1.5 18.7-16.3 7.6 2.8 74.3% 44.3% 1.13
03/07, 12:00View analysis ↗ Wimbledon MD Arevalo/Pavic WWWWW 80% 1.7-0.5 12.8-9 4.5 1.3 78.2% 43.1% – 1.28
Stevenson/Willis WWLWL 80% 1.7-0.8 15.8-15.3 7.2 4.9 81.6% 25.3% 3.50
03/07, 13:30View analysis ↗ Wimbledon WD Kichenok/Ninomiya LLLWW 30% 0.7-1.6 10.4-12.7 0.6 2.3 59.5% 46.1% – 3.00
Muhammad/Stollar LWWLW 50% 1.2-1.4 13.9-14.1 3 2.1 69.3% 38.8% 1.36
03/07, 16:00View analysis ↗ Challenger Quito Alan Magadan WWLWW 90% 1.9-0.5 13.5-8 4.1 2.8 78.6% 48.4% – 3.25
Matheus Pucinelli De Almeida WWLWW 70% 1.5-0.8 12.6-8.7 2.2 2.8 70.5% 51.1% 1.33
03/07, 16:00View analysis ↗ Challenger Quito Hernan Casanova WWLWL 60% 1.4-0.8 10.9-8.9 0.4 0.7 59.9% 49.1% – 1.28
Juan Sebastian Osorio WWWLW 90% 1.7-0.8 14.3-11 6.6 2.8 72.5% 41.7% 3.50
03/07, 16:00View analysis ↗ Challenger Cary Edward Winter WWWLW 50% 1.3-1.3 12.9-12.1 3.1 3.1 68.4% 27.1% – 1.28
William Manning WLWLW 50% 1-1.2 11-10.3 7.4 4.6 77.7% 49.4% 3.50
03/07, 16:00View analysis ↗ Challenger Cary Jack Kennedy WWLWW 80% 1.7-0.9 13.9-13.2 2.4 3.5 57.7% 58.1% – 3.25
Yosuke Watanuki WWLLL 50% 1.2-1.2 12-10.9 9 3.4 70.5% 46.1% 1.33

Frequently asked questions

What is surface Elo?

A rating computed separately for clay, hard, grass and carpet: a player can be much stronger on one surface than another.

What do aces and double faults measure?

Aces are winning serves (serve power); double faults are two serve misses in a row (consistency). Both help estimate games and sets.

How does BetsTalent calculate probabilities?

With an in-house model: opponent-adjusted Elo and, in football, Poisson/Dixon-Coles with per-team attack and defence. In tennis, Elo by surface. No raw averages.