Floyd Little Athletic Center - New Haven, CT, 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 | GULCHIN Mark (Yerma) | - | - | - | - | 5% | 30% | 65% |
| 2 | GHEDINI Luca | - | - | - | 1% | 19% | 79% | |
| 3 | CHEN Kyle P. | - | - | - | 1% | 6% | 32% | 61% |
| 3 | LI Bradley | - | - | - | 1% | 9% | 38% | 53% |
| 5 | CHO Xzander | - | 1% | 6% | 25% | 43% | 26% | |
| 6 | CHENG Logan | - | 1% | 6% | 24% | 42% | 28% | |
| 7 | MARTIN Darius | - | - | 2% | 12% | 34% | 41% | 11% |
| 8 | TANG Terry | - | - | 5% | 23% | 44% | 27% | |
| 9 | CHEN Hanson | - | - | - | 1% | 11% | 38% | 49% |
| 10 | SHANNON Jack | - | 1% | 7% | 27% | 42% | 23% | |
| 11 | XU Nathan | - | 4% | 18% | 34% | 31% | 12% | 1% |
| 12 | TOOMRE Kai | - | - | 3% | 18% | 52% | 27% | |
| 13 | GERRISH William | - | 1% | 6% | 26% | 44% | 23% | |
| 14 | ONIK Ari N. | 1% | 6% | 24% | 38% | 25% | 6% | |
| 15 | SION Andrew | 2% | 16% | 38% | 33% | 11% | 1% | |
| 16 | KO Caleb | - | - | 3% | 16% | 37% | 37% | 7% |
| 17 | JIMENEZ Naveen | - | - | 1% | 9% | 43% | 47% | |
| 18 | HARRA Alexander | - | 7% | 27% | 38% | 23% | 5% | |
| 19 | PETINO Leonardo | 1% | 15% | 38% | 33% | 12% | 1% | |
| 20 | LAO Kevin | - | 1% | 8% | 34% | 50% | 7% | |
| 21 | BAKSHI Aman | - | 1% | 7% | 24% | 38% | 26% | 4% |
| 22 | WANG Luke | - | 6% | 22% | 36% | 27% | 8% | 1% |
| 23 | KROLEWSKI Alexander | 1% | 8% | 26% | 36% | 23% | 6% | - |
| 24 | XIE Jicheng | 1% | 10% | 31% | 37% | 18% | 3% | |
| 25 | SENANI Arjun | 2% | 15% | 37% | 33% | 11% | 1% | |
| 26 | HOU Gaven | - | 2% | 14% | 36% | 36% | 12% | |
| 27 | CZARNECKI Thomas | - | 4% | 21% | 40% | 29% | 7% | |
| 28 | YAVENDITTI William | 2% | 22% | 39% | 27% | 8% | 1% | |
| 29 | BAI Austin | - | 6% | 24% | 38% | 25% | 6% | |
| 30 | HART-SYED declan | 2% | 14% | 38% | 36% | 10% | - | |
| 31 | WU Isaac | 5% | 26% | 42% | 23% | 4% | - | |
| 31 | ZHANG Hanru | 2% | 15% | 35% | 33% | 13% | 2% | |
| 33 | CHEN kenneth | 1% | 9% | 26% | 36% | 23% | 5% | - |
| 34 | WANG Ancen | 1% | 10% | 29% | 36% | 20% | 4% | - |
| 35 | BRAIZINHA David | 16% | 41% | 33% | 10% | 1% | - | |
| 36 | KRZYWON Dylan | 3% | 33% | 41% | 19% | 4% | - | |
| 37 | CHUN Zachary | 11% | 35% | 37% | 15% | 2% | - | |
| 38 | MARTIRE Luca | 1% | 8% | 26% | 36% | 23% | 6% | - |
| 39 | ZHANG Gavin | - | 1% | 6% | 23% | 38% | 27% | 5% |
| 40 | QIAN Zekai | - | 4% | 17% | 34% | 32% | 12% | 1% |
| 41 | DAO-CRESPO Joaquin | 15% | 36% | 32% | 14% | 3% | - | - |
| 42 | REYES Yannik | 21% | 41% | 28% | 9% | 1% | - | - |
| 43 | WANG Ralph | 5% | 24% | 41% | 26% | 4% | - | |
| 44 | ZHENG Austin | 6% | 28% | 40% | 22% | 3% | - | |
| 45 | LIANG Haojia | 11% | 33% | 35% | 17% | 4% | - | - |
| 46 | NABASSOUA Djibril | 5% | 23% | 37% | 26% | 8% | 1% | - |
| 47 | DIAZ Gabriel | 7% | 28% | 38% | 21% | 5% | 1% | - |
| 48 | DAILEY Noah | 6% | 28% | 38% | 22% | 6% | 1% | - |
| 49 | HUANG Jinyao | - | 4% | 18% | 36% | 32% | 10% | 1% |
| 50 | WANG ZEYU | 2% | 15% | 32% | 33% | 15% | 3% | - |
| 51 | REN Ryan | - | 1% | 12% | 34% | 38% | 15% | |
| 52 | DEROSA Patrick | 22% | 44% | 26% | 7% | 1% | - | |
| 53 | HOWARD Fox | 27% | 44% | 23% | 5% | - | - | |
| 54 | KINGSLEY Griffin | 5% | 30% | 40% | 20% | 4% | - | |
| 55 | DHOTE Meetansh | 3% | 18% | 36% | 30% | 11% | 2% | - |
| 56 | CHUN Alexander | 82% | 17% | 1% | - | - | - | |
| 57 | ZHANG Ethan | 18% | 40% | 30% | 10% | 2% | - | - |
| 58 | HWANG Jacob | 26% | 44% | 25% | 5% | - | - | |
| 59 | HU Daniel | 31% | 42% | 21% | 5% | - | - | - |
| 60 | SMITH Colin | 32% | 45% | 20% | 3% | - | - | |
| 60 | BO Aiden | 75% | 22% | 3% | - | - | - | |
| 62 | ABRAMKIN Tim | 2% | 15% | 33% | 33% | 15% | 3% | - |
| 63 | PERKINS Nathaniel | 56% | 35% | 8% | 1% | - | - | |
| 64 | YOUM Tyson | 49% | 38% | 11% | 2% | - | - | - |
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.