Tennis slates are mostly about picking winners, as the scoring is heavily dictated by winning games and sets. So the projections are mostly handicapping the matches, but there is some nuance when it comes to aces, double faults, breaks, and the odds of winning in straight sets. Our team will provide insight in the Discord before slates for Majors, but we’ll provide projections for all Main Slates throughout the year.
| Name | Opponent | Salary | Position | Points | Implied Win % | Ownership | PT/$ |
|---|---|---|---|---|---|---|---|
| Alexander Blockx | Trungelliti | 9900 | P | 66.12 | 82% | 12.0 | 6.7 |
| Lorenzo Musetti | Sweeny | 11000 | P | 65.36 | 93% | 16.0 | 5.9 |
| Taylor Fritz | Bellucci | 10100 | P | 65.32 | 88% | 27.7 | 6.5 |
| Iva Jovic | Jones | 9700 | P | 64.35 | 85% | 22.4 | 6.6 |
| Flavio Cobolli | Schoolkate | 9800 | P | 64.12 | 79% | 17.2 | 6.5 |
| Iga Swiatek | Podoroska | 11300 | P | 63.08 | 97% | 25.7 | 5.6 |
| Jakub Mensik | Rodionov | 10000 | P | 62.72 | 86% | 17.8 | 6.3 |
| Mirra Andreeva | Lys | 10400 | P | 61.2 | 90% | 15.3 | 5.9 |
| Madison Keys | Bondar | 10700 | P | 60.98 | 87% | 9.7 | 5.7 |
| Alexandra Eala | Oliynykova | 10800 | P | 60.53 | 88% | 9.2 | 5.6 |
| Amanda Anisimova | Tagger | 9600 | P | 57.88 | 81% | 15.8 | 6.0 |
| Michael Zheng | Bu | 8600 | P | 56.78 | 63% | 15.8 | 6.6 |
| Alex de Minaur | Van de Zandschulp | 9500 | P | 56.62 | 74% | 13.6 | 6.0 |
| Naomi Osaka | Siniakova | 9400 | P | 56.13 | 77% | 16.9 | 6.0 |
| Marie Bouzkova | Dart | 7500 | P | 55.46 | 83% | 56.1 | 7.4 |
| Felix Auger-Aliassime | Khachanov | 9000 | P | 55.21 | 72% | 12.1 | 6.1 |
| Anastasia Potapova | Jeanjean | 9300 | P | 54.28 | 77% | 10.6 | 5.8 |
| Zizou Bergs | De Jong | 9100 | P | 53.3 | 69% | 7.6 | 5.9 |
| Elise Mertens | Timofeeva | 9200 | P | 53.2 | 74% | 9.4 | 5.8 |
| Qinwen Zheng | Putintseva | 8900 | P | 53.15 | 71% | 11.1 | 6.0 |
| Nikola Bartunkova | Maria | 8800 | P | 51.55 | 70% | 9.4 | 5.9 |
| Alejandro Tabilo | Popyrin | 8000 | P | 51.49 | 61% | 16.4 | 6.4 |
| Ignacio Buse | Bonzi | 7800 | P | 51.27 | 54% | 15.9 | 6.6 |
| Cristina Bucsa | Sakatsume | 8700 | P | 49.95 | 64% | 8.4 | 5.7 |
| Maria Sakkari | Starodubtseva | 8300 | P | 48.81 | 63% | 9.6 | 5.9 |
| Francisco Cerundolo | Struff | 8400 | P | 48.59 | 60% | 10.4 | 5.8 |
| Luciano Darderi | Svrcina | 8100 | P | 47.27 | 57% | 9.1 | 5.8 |
| Zachary Svajda | Gea | 7300 | P | 45.55 | 56% | 15.9 | 6.2 |
| Arthur Gea | Svajda | 7000 | P | 42.08 | 46% | 14.8 | 6.0 |
| Benjamin Bonzi | Buse | 6700 | P | 41.36 | 47% | 14.3 | 6.2 |
| Yunchaokete Bu | Zheng | 6100 | P | 39.2 | 39% | 10.0 | 6.4 |
| Jan-Lennard Struff | Cerundolo | 6300 | P | 38.84 | 41% | 12.4 | 6.2 |
| Alexei Popyrin | Tabilo | 6800 | P | 38.13 | 41% | 8.3 | 5.6 |
| Dalibor Svrcina | Darderi | 6600 | P | 37.72 | 45% | 13.3 | 5.7 |
| Yuliia Starodubtseva | Sakkari | 6500 | P | 36.86 | 38% | 8.5 | 5.7 |
| Himeno Sakatsume | Bucsa | 6000 | P | 35.2 | 37% | 10.0 | 5.9 |
| Karen Khachanov | Auger-Aliassime | 5800 | P | 34.92 | 29% | 10.3 | 6.0 |
| Jesper De Jong | Bergs | 5500 | P | 34.74 | 33% | 9.2 | 6.3 |
| Yulia Putintseva | Zheng | 5600 | P | 31.9 | 31% | 6.6 | 5.7 |
| Tatjana Maria | Bartunkova | 5900 | P | 31.71 | 32% | 6.9 | 5.4 |
| Botic Van de Zandschulp | de Minaur | 5200 | P | 29.58 | 27% | 3.9 | 5.7 |
| Katerina Siniakova | Osaka | 10600 | P | 28.47 | 24% | 0.5 | 2.7 |
| Maria Timofeeva | Mertens | 5400 | P | 28.45 | 28% | 4.1 | 5.3 |
| Tristan Schoolkate | Cobolli | 4700 | P | 28.37 | 22% | 3.8 | 6.0 |
| Harriet Dart | Bouzkova | 5000 | P | 26.96 | 18% | 3.4 | 5.4 |
| Jurij Rodionov | Mensik | 4600 | P | 26.74 | 15% | 2.2 | 5.8 |
| Lilli Tagger | Anisimova | 5100 | P | 26.36 | 20% | 3.3 | 5.2 |
| Leolia Jeanjean | Potapova | 5300 | P | 25.84 | 25% | 3.7 | 4.9 |
| Marco Trungelliti | Blockx | 4800 | P | 25.2 | 19% | 3.3 | 5.2 |
| Francesca Jones | Jovic | 4900 | P | 25.1 | 17% | 1.9 | 5.1 |
| Eva Lys | Andreeva | 4300 | P | 24.22 | 13% | 1.2 | 5.6 |
| Mattia Bellucci | Fritz | 4500 | P | 24.2 | 14% | 2.2 | 5.4 |
| Anna Bondar | Keys | 4400 | P | 22.53 | 14% | 1.9 | 5.1 |
| Oleksandra Oliynykova | Eala | 4200 | P | 22.53 | 14% | 2.0 | 5.4 |
| Dane Sweeny | Musetti | 3800 | P | 18.87 | 8% | 0.4 | 5.0 |
| Nadia Podoroska | Swiatek | 3700 | P | 18.3 | 4% | 0.2 | 4.9 |
Last updated at Thursday, 03 September 2026, 09:48:39 AM EDT