SportsPlex at Metuchen - Metuchen, NJ, USA
Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.
| # | Name | Number of victories | ||||||
|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | ||
| 1 | LAI Boden | - | - | - | - | 3% | 25% | 72% |
| 2 | CHEN Leonardo | - | 1% | 8% | 28% | 44% | 20% | |
| 3 | STAUDINGER Enzo | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 3 | LAM Alan | - | - | - | - | 5% | 33% | 61% |
| 5 | XIAO Hanzhi （Shawn） | - | - | - | 2% | 13% | 39% | 45% |
| 6 | DOUBOV Andrew | - | 4% | 19% | 38% | 31% | 9% | |
| 7 | WONG Maximus | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 8 | KRAUSS Judah | - | 5% | 19% | 37% | 30% | 8% | 1% |
| 9 | ZENG Andrew | - | 4% | 16% | 34% | 33% | 12% | |
| 10 | SHOUSHA Hamza | - | - | 3% | 16% | 34% | 34% | 13% |
| 11 | TESFAYE Elias | 8% | 36% | 38% | 15% | 2% | ||
| 12 | KUGLER Luke | - | - | 4% | 20% | 44% | 32% | |
| 13 | NORMILE Nicholas | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
| 14 | SONG Troy | - | - | 1% | 7% | 24% | 40% | 27% |
| 15 | FENG Shang | - | 2% | 12% | 33% | 37% | 15% | |
| 16 | BLACK Zachary | - | 2% | 11% | 28% | 35% | 20% | 3% |
| 17 | ATKINS Levi H. | - | - | 1% | 13% | 41% | 45% | |
| 18 | KARIMOV Amir | 1% | 6% | 20% | 33% | 28% | 12% | 2% |
| 19 | ZOGRAFOS Nicholas | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 20 | JIANG Matthew | - | - | 1% | 9% | 32% | 45% | 12% |
| 21 | CHOU Benson | - | 7% | 28% | 43% | 22% | ||
| 22 | SINGLETON Aman | - | 2% | 13% | 38% | 38% | 10% | |
| 23 | CHEN Jayden | 1% | 13% | 37% | 37% | 12% | ||
| 23 | FLORES Theodore | 4% | 19% | 36% | 30% | 11% | 1% | |
| 25 | LIU Ethan | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 26 | HAO Yucong | - | 1% | 9% | 27% | 36% | 22% | 5% |
| 27 | ALABI Tobi | - | 1% | 9% | 30% | 41% | 19% | |
| 28 | LYCHKO Maksym | - | 4% | 22% | 42% | 27% | 5% | |
| 29 | SHETTY Mihir | - | 3% | 15% | 33% | 35% | 13% | |
| 30 | DEGRUCCIO Johnny | 2% | 12% | 28% | 33% | 20% | 6% | 1% |
| 31 | MALHAM Andrew | 1% | 11% | 29% | 35% | 19% | 4% | |
| 32 | LIN Zizhen | 1% | 13% | 36% | 37% | 13% | ||
| 33 | LI Morgan | 14% | 34% | 33% | 15% | 4% | - | - |
| 34 | KANG Brandon | 2% | 11% | 26% | 33% | 21% | 7% | 1% |
| 35 | RATUSHNYI Georgii | - | 1% | 9% | 27% | 36% | 22% | 5% |
| 36 | AHMED Mohsen | 4% | 21% | 37% | 28% | 9% | 1% | - |
| 37 | GAO Victor | 8% | 30% | 38% | 19% | 4% | - | |
| 38 | NOVOJILOV Daniel | 13% | 36% | 35% | 14% | 2% | - | |
| 39 | FEINBERG James Y. | 7% | 29% | 39% | 20% | 5% | - | |
| 40 | WANG-SONG Evan | 8% | 29% | 38% | 20% | 4% | - | |
| 41 | PATHAK Arush | 1% | 17% | 41% | 31% | 9% | 1% | |
| 42 | GAO Andrew | - | 5% | 19% | 35% | 30% | 11% | 1% |
| 43 | ROSIELLO Francesco | 16% | 44% | 30% | 9% | 1% | - | - |
| 44 | HELMY Richard | 1% | 8% | 27% | 36% | 22% | 6% | 1% |
| 45 | LIU Simon | 19% | 39% | 30% | 10% | 2% | - | - |
| 46 | YAO Jack | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 47 | SHCHUR Grayson | - | 4% | 16% | 32% | 32% | 14% | 2% |
| 48 | GLUSHKOV David | 3% | 17% | 34% | 32% | 13% | 2% | - |
| 49 | MILINKOVIC Maksim | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 50 | NOOL Alexander | 17% | 39% | 32% | 11% | 1% | - | |
| 51 | LI Ray | 7% | 43% | 38% | 11% | 1% | - | |
| 52 | ANAFI Ari | 3% | 16% | 35% | 33% | 12% | 1% | |
| 53 | KLINKENBERG Patrick | 23% | 40% | 27% | 9% | 1% | - | |
| 54 | LI Ryan | 36% | 43% | 18% | 3% | - | - | |
| 55 | JAYME Antonio | 51% | 38% | 10% | 1% | - | ||
| 56 | LI Jade | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 57 | LUR'YE Killian | 42% | 42% | 14% | 2% | - | - | - |
| 57 | LEE Benjamin | 17% | 36% | 31% | 13% | 3% | - | - |
| 59 | BARATY Teagan | 9% | 33% | 37% | 17% | 3% | - | - |
| 60 | OCONNOR Paul | 17% | 37% | 31% | 12% | 2% | - | - |
| 61 | FENG Xinmin | 15% | 37% | 32% | 13% | 3% | - | - |
| 62 | CAFASSO Alexander | 6% | 26% | 37% | 23% | 7% | 1% | |
| 63 | TSIEN Richard | 70% | 27% | 3% | - | - | - | |
| 64 | BO Genero | 4% | 18% | 33% | 29% | 13% | 3% | - |
The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:
This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.