Sports Events Recreation Center - The SERC - Brockport, NY, 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 | LEE Jonah | - | - | - | 2% | 12% | 38% | 48% |
| 2 | LEE Brendan | - | - | 2% | 11% | 30% | 39% | 18% |
| 3 | XU Andy P. | - | - | - | 1% | 10% | 39% | 50% |
| 3 | FENG Michael | 3% | 20% | 41% | 28% | 7% | 1% | |
| 5 | HUANG Eythan | - | - | 3% | 21% | 46% | 30% | |
| 6 | XU Xinhao ( Sonny) | - | - | 2% | 11% | 30% | 39% | 19% |
| 7 | DOELL Ethan | - | - | 4% | 20% | 37% | 30% | 9% |
| 8 | LI Bradley | - | - | 5% | 24% | 46% | 25% | |
| 9 | TANG Albert | - | - | - | 1% | 7% | 35% | 57% |
| 10 | CHENG Logan | - | 1% | 10% | 31% | 38% | 17% | 2% |
| 11 | CHEN Ethan | - | - | 7% | 30% | 44% | 19% | |
| 12 | TANG Alexander L. | - | - | 3% | 21% | 48% | 28% | |
| 12 | SONG Noel | - | - | 2% | 16% | 46% | 36% | |
| 14 | YAO Bradley | - | - | 3% | 14% | 33% | 36% | 14% |
| 15 | GRIFFITH MCALLISTER Thomas | - | 6% | 25% | 38% | 24% | 5% | |
| 16 | GUTH Joseph | - | - | 4% | 22% | 45% | 29% | |
| 17 | VADEN Oliver | - | - | 2% | 12% | 35% | 41% | 11% |
| 18 | TANG Terry | - | 3% | 15% | 35% | 35% | 12% | |
| 19 | ALLEN Henry G. | - | - | 4% | 23% | 45% | 28% | |
| 20 | PARRISH Evan | - | 1% | 7% | 28% | 44% | 21% | |
| 21 | XIE Buster | - | 3% | 13% | 29% | 34% | 18% | 3% |
| 22 | ZENG Rick | - | 2% | 15% | 35% | 33% | 13% | 2% |
| 23 | TOOMRE Kai | - | 2% | 12% | 32% | 36% | 16% | 2% |
| 24 | JURMAN Therin | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 25 | CHOI Benjamin | - | 3% | 16% | 34% | 32% | 12% | 1% |
| 26 | HOU Gaven | 4% | 19% | 33% | 29% | 12% | 2% | - |
| 27 | RUIZ ALMEIDA Muhammad | - | 2% | 15% | 35% | 35% | 12% | |
| 28 | SUN Ryan | - | 6% | 25% | 42% | 23% | 4% | |
| 29 | WANG Rory | - | 2% | 14% | 33% | 33% | 15% | 2% |
| 30 | VOLLMER Quintin | - | 4% | 19% | 34% | 29% | 11% | 2% |
| 31 | HUANG Chenghan | 3% | 25% | 43% | 25% | 4% | - | |
| 32 | BERNARD Cohen | 6% | 25% | 36% | 23% | 8% | 1% | - |
| 33 | LEE Eugene | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 34 | FINDLAY Zachary | 6% | 32% | 39% | 19% | 4% | - | |
| 35 | ZHANG Lucas | - | 2% | 16% | 41% | 33% | 8% | |
| 36 | GE Daniel | 4% | 32% | 42% | 19% | 3% | - | |
| 37 | CHO Xzander | 1% | 8% | 27% | 40% | 21% | 4% | |
| 38 | BAI Brian | 2% | 20% | 43% | 27% | 7% | 1% | |
| 39 | GOODLIN Sean | 7% | 31% | 38% | 19% | 4% | - | - |
| 40 | XIE Jicheng | - | 5% | 21% | 39% | 28% | 7% | - |
| 41 | TANG Royce | - | 9% | 34% | 40% | 14% | 1% | |
| 42 | BAI Austin | 27% | 46% | 23% | 4% | - | - | |
| 43 | LU Alex | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 44 | SHAW Spencer | 7% | 28% | 39% | 21% | 5% | - | - |
| 45 | XU Nathan | 5% | 23% | 37% | 26% | 8% | 1% | - |
| 46 | BELCHAMBER Mason | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
| 47 | WANG Daniel | 6% | 47% | 36% | 10% | 1% | - | |
| 48 | LAMBERT Parker | 1% | 8% | 26% | 36% | 23% | 6% | |
| 49 | DIAZ Gabriel | 46% | 40% | 12% | 2% | - | - | |
| 50 | KO Caleb | 4% | 23% | 42% | 25% | 5% | - | |
| 51 | CHOI Inho | 46% | 42% | 11% | 1% | - | - | |
| 52 | SUN Henry | 11% | 39% | 36% | 12% | 2% | - | - |
| 53 | TAM Kyle | 29% | 42% | 23% | 6% | 1% | - | - |
| 54 | MO Ethan | 2% | 12% | 31% | 34% | 17% | 4% | - |
| 55 | SONG Yuxuan Austin | 23% | 41% | 27% | 8% | 1% | - | - |
| 56 | MAZAHERI Fletcher | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 57 | WANG Luke | 41% | 42% | 15% | 2% | - | - | - |
| 58 | LEE Seungdon | 1% | 12% | 33% | 36% | 16% | 2% | - |
| 59 | XU Ethan | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 60 | POWELL Sean | 27% | 46% | 22% | 4% | - | - | |
| 61 | CHALONE Matthew | 19% | 48% | 27% | 5% | - | - | |
| 62 | CHEN kenneth | 56% | 35% | 8% | 1% | - | - | |
| 63 | LIANG Haojia | 52% | 39% | 9% | 1% | - | - | - |
| 64 | NOSIK Gabriel | 70% | 26% | 3% | - | - | - | |
| 65 | HAN Felix | 3% | 20% | 41% | 28% | 7% | 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.