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 | LIU Adam | - | - | - | - | 3% | 24% | 73% |
| 2 | ZHAI Junqi | - | 2% | 14% | 34% | 36% | 13% | |
| 3 | AHMED Mohsen | - | - | - | 5% | 21% | 43% | 31% |
| 3 | TOWNSHEND Connor | - | 1% | 9% | 30% | 41% | 19% | |
| 5 | CHEN Edward | - | 1% | 6% | 25% | 43% | 24% | |
| 6 | SZCZAPA Lukas | - | 1% | 9% | 30% | 41% | 18% | |
| 7 | LI Jade | - | - | 3% | 17% | 42% | 38% | |
| 8 | CHEN Cameron | 2% | 13% | 32% | 35% | 16% | 3% | |
| 9 | KIM Henry | - | - | - | 1% | 11% | 39% | 49% |
| 10 | CHEN Evan | - | 1% | 10% | 28% | 37% | 20% | 3% |
| 11 | ZHU Yiming | - | - | 3% | 15% | 37% | 39% | 6% |
| 12 | ZHENG Jason | - | 2% | 11% | 30% | 36% | 18% | 2% |
| 13 | KABA Elias | - | - | 2% | 14% | 44% | 41% | |
| 14 | ZHANG Marcus Xuanwei | - | 1% | 9% | 28% | 37% | 21% | 4% |
| 15 | TRAN Spencer | - | - | - | 1% | 8% | 35% | 55% |
| 16 | ROBINSON Garrett | 2% | 12% | 32% | 34% | 16% | 3% | - |
| 17 | CUELLAR Markus | - | 1% | 5% | 23% | 43% | 28% | |
| 18 | WANG-SONG Evan | - | 4% | 18% | 38% | 32% | 8% | |
| 19 | MANSFIELD Hunter | - | 1% | 8% | 28% | 41% | 22% | |
| 20 | HE Yurui | 1% | 7% | 25% | 39% | 24% | 5% | |
| 21 | BHANDARE Veer | 1% | 7% | 25% | 37% | 24% | 7% | 1% |
| 22 | HU HAOYUE | - | - | 3% | 16% | 36% | 34% | 10% |
| 23 | CAO Gavin | - | 2% | 11% | 29% | 37% | 19% | 2% |
| 24 | CHO Adrian | - | 5% | 21% | 37% | 29% | 8% | |
| 25 | FOGEL Jake | 25% | 42% | 25% | 7% | 1% | - | |
| 26 | BENNETT Nathaniel | 3% | 20% | 38% | 29% | 10% | 1% | |
| 27 | LEE Harrison | 3% | 16% | 37% | 33% | 10% | 1% | |
| 28 | BRESLAV Asher | - | 6% | 24% | 37% | 25% | 7% | - |
| 29 | MORI Seneca | - | 1% | 4% | 19% | 38% | 31% | 7% |
| 30 | MANN Daniel | 10% | 32% | 37% | 17% | 3% | - | |
| 31 | PARIGIAN Alexander | 2% | 15% | 34% | 33% | 14% | 2% | |
| 32 | CHEN Daniel | 5% | 23% | 38% | 26% | 7% | 1% | |
| 33 | MOZZER Nolan | - | 4% | 18% | 36% | 32% | 10% | |
| 33 | MOSHIER Calvin | 8% | 30% | 37% | 20% | 5% | - | |
| 35 | HERNDON Liam | - | 1% | 7% | 26% | 41% | 24% | |
| 36 | CHAVES Evan | 13% | 36% | 34% | 14% | 3% | - | |
| 37 | ZHU Brady | 7% | 29% | 39% | 21% | 4% | - | |
| 38 | ROFINO Samuel | 16% | 38% | 32% | 12% | 2% | - | |
| 39 | CHAU Collin | - | 1% | 6% | 26% | 46% | 21% | |
| 40 | JIN Noah | 2% | 20% | 37% | 29% | 10% | 2% | - |
| 41 | SONPAL Winslow | 1% | 9% | 27% | 36% | 22% | 5% | - |
| 42 | CHEN Hayden | 2% | 13% | 30% | 34% | 18% | 3% | - |
| 43 | CHEN Jayden A | 46% | 40% | 13% | 2% | - | - | |
| 44 | CARPENTER Touma S. | 2% | 15% | 35% | 33% | 13% | 2% | |
| 45 | WANG Marcus | 1% | 9% | 27% | 36% | 21% | 5% | - |
| 46 | WILLIAMS Gavin | 10% | 31% | 36% | 18% | 4% | - | - |
| 47 | ROBINSON Blake | 15% | 36% | 33% | 13% | 3% | - | - |
| 48 | PRIEBE IV Cedric | 2% | 18% | 36% | 30% | 11% | 2% | - |
| 49 | RUDIGER George | 12% | 33% | 34% | 17% | 4% | - | - |
| 50 | LEE Ryan | 17% | 39% | 32% | 10% | 1% | - | |
| 50 | LIN Lucas | 3% | 16% | 35% | 32% | 12% | 2% | |
| 52 | LAW Oliver | 18% | 40% | 31% | 10% | 1% | - | |
| 53 | LIU George | 6% | 25% | 38% | 24% | 7% | 1% | |
| 54 | CAVALLARO Sebastian | 31% | 43% | 21% | 5% | - | - | |
| 55 | LEE Elijah | 9% | 31% | 37% | 18% | 4% | - | |
| 56 | KIM Louie | 9% | 29% | 36% | 21% | 5% | 1% | - |
| 57 | JIANG Aidan | 7% | 26% | 36% | 24% | 7% | 1% | - |
| 58 | KLOTS Theo | 22% | 44% | 26% | 7% | 1% | - | - |
| 59 | MA Joseph | 11% | 33% | 35% | 17% | 4% | - | - |
| 60 | BEAULIEU Edmund | 27% | 44% | 23% | 5% | 1% | - | - |
| 61 | HAN Nathan | 24% | 42% | 26% | 7% | 1% | - | |
| 62 | FRIZZELL Kai | 16% | 38% | 32% | 11% | 2% | - | |
| 63 | WAGNER Bennett | 60% | 33% | 7% | 1% | - | - | - |
| 64 | ASHLEY Logan | 4% | 25% | 39% | 25% | 6% | 1% | |
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.