Tennis stats
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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 → Total games in tennis: what actually predicts it (and what doesn't) →
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Showing 226–243 of 243 matches (page 4 of 4).
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| ⓘ | Date | Tournament | Players | Surface ⓘ | Form ⓘ | Win % ⓘ | Win % surf. ⓘ | Sets ⓘ | Games ⓘ | Games line ⓘ | Aces ⓘ | Double faults ⓘ | 1st serve % ⓘ | Break % ⓘ | H2H ⓘ | Odds ⓘ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25/08, 23:00View analysis ↗ | WTA Monterrey | Anhelina Kalinina | Hard Bo3 | 40% | 33% (3) | 1.1-1.3 | 11.2-11.8 | – | 1.7 | 5.9 | 61% | 47.8% | – | 2.00 | ||
| Maya Joint | 60% | 60% (10) | 1.6-1.1 | 12.9-11.5 | 1.6 | 4.8 | 58.9% | 50.3% | 1.80 | |||||||
| 25/08, 23:00View analysis ↗ | WTA Monterrey | Shuai Zhang | Hard Bo3 | 40% | 40% (5) | 0.9-1.3 | 9.6-10.8 | – | 1.1 | 2.5 | 64.6% | 43% | – | 1.80 | ||
| Maria Timofeeva | 70% | 60% (5) | 1.5-0.9 | 10.9-10.3 | 1.7 | 3.7 | 60.1% | 43.4% | 2.00 | |||||||
| 25/08, 23:00View analysis ↗ | WTA Monterrey | Nikola Bartunkova | Hard Bo3 | 60% | 63% (8) | 1.4-1 | 12.5-11.1 | – | 5 | 3.8 | 65.9% | 47% | 0–2 | 1.53 | ||
| Anastasia Potapova | 50% | 40% (5) | 1.1-1.3 | 10.8-11.9 | 1.7 | 5.5 | 63.5% | 48% | 2.50 | |||||||
| 26/08, 04:00View analysis ↗ | M15 Maanshan | Chan-Yeong Oh | Hard Bo3 | 60% | 67% (9) | 1.2-0.9 | 10-9 | – | 1.8 | 1.9 | 70.2% | 62.1% | – | 1.33 | ||
| Sam Ryan Ziegann | 50% | 33% (6) | 1.3-1.4 | 12.4-13.5 | 6.8 | 2.8 | 62.2% | 53.8% | 3.25 | |||||||
| 26/08, 04:00View analysis ↗ | M25 Taipei | Ethan Cook | Hard Bo3 | 20% | 33% (6) | 0.6-1.7 | 9.3-12 | – | 5.8 | 3.3 | 65.3% | 56.4% | – | 4.00 | ||
| Manish Sureshkumar | 40% | 43% (7) | 1-1.4 | 10.5-11.9 | 4.5 | 2.2 | 66.3% | 34.8% | 1.22 | |||||||
| 26/08, 04:00View analysis ↗ | M25 Taipei | Arthur Weber | Hard Bo3 | 40% | 44% (9) | 0.9-1.3 | 8.2-9.4 | – | 0.8 | 0.9 | 64.5% | 49.9% | 1–2 | 1.25 | ||
| Tsung-Hao Huang | 50% | 50% (2) | 1-1.1 | 8.8-9.1 | 2.9 | 1.4 | 67.9% | 35% | 3.75 | |||||||
| 26/08, 04:00View analysis ↗ | M25 Taipei | Keisuke Saitoh | Hard Bo3 | 50% | 25% (4) | 1.2-1.2 | 12.1-11.7 | – | 2.4 | 2.3 | 68.6% | 41.5% | 1–0 | 2.63 | ||
| Matthew Dellavedova | 80% | 80% (5) | 1.7-0.6 | 12.6-9.1 | 3.4 | 0.9 | 69.9% | 48.2% | 1.44 | |||||||
| 26/08, 04:00View analysis ↗ | M25 Taipei | Kai-I Wang | Hard Bo3 | 20% | 22% (9) | 0.8-1.7 | 10.1-12.6 | – | 2.6 | 4.2 | 61.1% | 33.2% | – | 8.00 | ||
| Ryota Tanuma | 80% | 80% (10) | 1.6-0.5 | 11.1-6.6 | 1.5 | 2.1 | 76.1% | 37.8% | 1.06 | |||||||
| 26/08, 04:00View analysis ↗ | M15 Maanshan | Kaichi Uchida | Hard Bo3 | 0% | 0% (5) | 0-2 | 6.1-12.2 | – | 6 | 3.6 | 64.2% | 26.2% | – | 1.40 | ||
| Tianhui Zhang | 50% | 50% (8) | 1-1.2 | 9.1-10.7 | 3 | 3.3 | 66.5% | 31.2% | 2.75 | |||||||
| 26/08, 04:00View analysis ↗ | M15 Maanshan | Enzo Aguiard | Hard Bo3 | 80% | 80% (10) | 1.7-0.4 | 11.7-6.3 | – | 4 | 1.4 | 76.7% | 56.7% | – | 1.17 | ||
| Fanming Meng | 40% | 29% (7) | 0.9-1.3 | 9.7-10.6 | 1.7 | 2.1 | 71.4% | 33.8% | 4.50 | |||||||
| 26/08, 04:00View analysis ↗ | M25 Taipei | Yanki Erel | Hard Bo3 | 70% | 67% (9) | 1.5-1 | 13-10.8 | – | 4.6 | 2.8 | 70.9% | 33.2% | – | 1.14 | ||
| Kokoro Isomura | 60% | 60% (10) | 1.3-1 | 10.6-10.2 | 1.7 | 7.6 | 68.4% | 37% | 5.00 | |||||||
| 26/08, 04:00View analysis ↗ | M25 Taipei | Moerani Bouzige | Hard Bo3 | 60% | 0% (1) | 1.3-1 | 11.8-10.5 | – | 6.3 | 2.1 | 68.7% | 44.6% | 0–1 | 2.10 | ||
| Luca Castelnuovo | 20% | 0% (3) | 0.7-1.6 | 9.6-12.1 | 5.7 | 2.3 | 69.6% | 43.9% | 1.67 | |||||||
| 26/08, 04:00View analysis ↗ | M15 Maanshan | Linang Xiao | Hard Bo3 | 40% | 40% (10) | 1.1-1.2 | 10.3-10.8 | – | 2.7 | 2.1 | 66.8% | 43.1% | – | 4.50 | ||
| Fitriadi M Rifqi | 90% | 100% (8) | 1.8-0.6 | 13.4-8.6 | 2 | 2.9 | 71.2% | 49.9% | 1.17 | |||||||
| 26/08, 04:00View analysis ↗ | M15 Maanshan | Ammar Faleh Alhogbani | Hard Bo3 | 60% | 50% (6) | 1.3-1 | 11.3-8.9 | – | 3.2 | 3.4 | 68.8% | 42.9% | – | 4.50 | ||
| Rigele Te | 30% | 38% (8) | 1-1.5 | 9.8-12 | 4.9 | 2.1 | 70.4% | 42.3% | 1.17 | |||||||
| 26/08, 04:00View analysis ↗ | M15 Maanshan | Hanyi Liu | Hard Bo3 | 70% | 70% (10) | 1.6-0.6 | 10.9-7.7 | – | 1.7 | 2.3 | 71.1% | 45.1% | – | 1.17 | ||
| Xing Dao Chen | 30% | 30% (10) | 0.8-1.6 | 9.4-10.9 | 1 | 3.2 | 59.1% | 42.1% | 4.50 | |||||||
| 26/08, 04:00View analysis ↗ | M15 Maanshan | Qian Sun | Hard Bo3 | 30% | 17% (6) | 0.9-1.6 | 11.3-12.3 | – | 4.8 | 3.4 | 67.3% | 41.9% | – | 5.00 | ||
| Petr Bar Biryukov | 80% | 67% (6) | 1.6-0.6 | 12.2-9.6 | 11.1 | 5.7 | 79.9% | 57.5% | 1.14 | |||||||
| 26/08, 19:00View analysis ↗ | ATP Winston-Salem MD | Frantzen/Haase | Hard Bo3 | 60% | 80% (5) | 1.3-1.1 | 13.5-13 | – | 6 | 3.6 | 77.2% | 35.8% | – | 1.83 | ||
| Halys/Herbert | 60% | – | 1.3-0.9 | 12.1-10.5 | 2.9 | 2.3 | 80.6% | 29.9% | 1.83 | |||||||
| 26/08, 19:00View analysis ↗ | ATP Winston-Salem MD | Schnaitter/Wallner | Hard Bo3 | 50% | 33% (3) | 1.2-1.3 | 13.3-13.8 | – | 4.3 | 3.9 | 77.9% | 25.6% | – | 1.83 | ||
| Lammons/Withrow | 70% | 70% (10) | 1.5-0.8 | 13.5-11.8 | 4.3 | 3.3 | 78.8% | 18.8% | 1.83 |
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.

