Golisano Training Center at Nazareth University - Rochester, 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 | LI Bradley | - | - | - | - | - | 7% | 93% |
| 2 | ZENG Rick | - | - | - | 2% | 15% | 42% | 41% |
| 3 | DOELL Ethan | - | - | - | 1% | 8% | 38% | 54% |
| 3 | SHENG Dalton | - | - | - | 1% | 15% | 50% | 34% |
| 5 | LU Jingyi | - | - | - | 5% | 22% | 43% | 30% |
| 6 | HAN Alexander | - | - | 5% | 24% | 43% | 24% | 4% |
| 7 | XU Nathan | - | - | 5% | 19% | 40% | 32% | 4% |
| 8 | WU Wallace | - | - | 3% | 15% | 32% | 35% | 15% |
| 9 | GRIFFITH MCALLISTER Thomas | - | - | - | - | 3% | 25% | 72% |
| 10 | DESERANNO Leander | - | - | 3% | 17% | 42% | 38% | |
| 11 | GE Felix Fei | - | - | 4% | 16% | 33% | 34% | 13% |
| 12 | CHENG Logan | - | - | - | 1% | 10% | 38% | 50% |
| 12 | JIN Andy | - | 3% | 13% | 28% | 32% | 19% | 4% |
| 14 | XIE Jicheng | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 15 | BELCHAMBER Mason | - | 4% | 20% | 39% | 30% | 7% | |
| 16 | PLUMMER Waylon | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 17 | FANG Haoyu | - | 1% | 5% | 20% | 36% | 29% | 9% |
| 18 | KO Caleb | - | - | 2% | 9% | 27% | 39% | 23% |
| 19 | TOOMRE Kai | - | 1% | 5% | 17% | 33% | 32% | 13% |
| 20 | PAN Ethan | - | 1% | 5% | 17% | 33% | 32% | 13% |
| 21 | TAN Charlie | - | - | 2% | 13% | 35% | 37% | 12% |
| 21 | GRUNENWALD Henri | 3% | 16% | 31% | 30% | 15% | 4% | - |
| 23 | BAKSHI Aman | - | 4% | 19% | 35% | 29% | 11% | 2% |
| 24 | JIN Xuechong Daniel | - | 5% | 18% | 35% | 31% | 10% | - |
| 25 | LATORRE Leonardo | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 26 | HUA Aaron | - | - | 4% | 17% | 35% | 33% | 11% |
| 27 | GRIGORIEV Michael | - | - | 5% | 20% | 38% | 30% | 7% |
| 28 | ZHANG Hanru | - | - | 1% | 9% | 32% | 45% | 13% |
| 29 | WONG Jacob W. | - | 1% | 9% | 25% | 35% | 24% | 6% |
| 30 | JAZWINSKI Ryan | - | 2% | 10% | 28% | 39% | 21% | 1% |
| 30 | XIAN kevin | - | - | 5% | 19% | 35% | 31% | 10% |
| 32 | WANG Caleb | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 33 | HOU Gaven | - | 1% | 9% | 25% | 35% | 23% | 6% |
| 34 | WANG Ancen | 2% | 13% | 31% | 34% | 17% | 3% | - |
| 35 | TANG Royce | - | 2% | 13% | 30% | 34% | 18% | 4% |
| 36 | WU Alexander | 8% | 31% | 39% | 18% | 3% | < 1% | - |
| 37 | ABRAMKIN Tim | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 38 | BAI Austin | - | - | 2% | 11% | 33% | 42% | 12% |
| 39 | CHEN kenneth | 1% | 9% | 29% | 38% | 19% | 4% | - |
| 39 | TARCHICHI Robby | - | 3% | 15% | 30% | 32% | 16% | 3% |
| 41 | WEI JR Shan | - | 3% | 15% | 33% | 35% | 13% | 1% |
| 42 | KIM Daniel | 3% | 16% | 31% | 30% | 15% | 4% | - |
| 42 | FAN Ze Lin | - | 2% | 11% | 26% | 34% | 21% | 5% |
| 44 | SALEH Ali | 1% | 10% | 27% | 35% | 21% | 5% | - |
| 45 | LIU Aaron | - | 1% | 8% | 22% | 34% | 27% | 9% |
| 46 | QU Richard | - | 1% | 6% | 24% | 39% | 26% | 5% |
| 47 | HUYNH Matthew | - | - | 5% | 21% | 39% | 28% | 6% |
| 48 | LIN Jun Hui | 3% | 16% | 33% | 32% | 14% | 2% | - |
| 49 | CHUN Alexander | 28% | 52% | 18% | 2% | - | - | - |
| 50 | CHOI Hunter | 4% | 23% | 39% | 26% | 8% | 1% | - |
| 51 | WANG Luke | 4% | 18% | 32% | 29% | 14% | 3% | - |
| 52 | VENAFRO Tristan | 1% | 8% | 27% | 37% | 22% | 5% | - |
| 53 | CZARNECKI Thomas | 1% | 7% | 21% | 33% | 27% | 10% | 2% |
| 54 | QIAN Zekai | 3% | 19% | 38% | 30% | 9% | 1% | |
| 55 | SIU Max | 1% | 5% | 18% | 31% | 29% | 14% | 3% |
| 56 | KIAYIAS Alexander | - | 6% | 27% | 40% | 22% | 4% | - |
| 57 | BAS Jonathan | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 58 | CAO Joshua | 4% | 24% | 39% | 25% | 7% | 1% | - |
| 59 | BEYDOUN Sam | 8% | 32% | 36% | 18% | 5% | 1% | - |
| 60 | NG Kai | 11% | 31% | 33% | 18% | 5% | 1% | - |
| 61 | KIM Yoonsoo | 10% | 28% | 33% | 21% | 7% | 1% | - |
| 62 | REN Ryan | 2% | 14% | 29% | 32% | 18% | 5% | 1% |
| 63 | SONG Yuxuan Austin | 27% | 43% | 24% | 6% | 1% | - | - |
| 64 | LIU Yilin | 18% | 39% | 31% | 11% | 2% | - | - |
| 65 | LIU Alex | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
| 66 | PAN Howard Haoran | - | 1% | 14% | 37% | 36% | 11% | 1% |
| 67 | SHAW eric | - | 6% | 27% | 40% | 22% | 4% | - |
| 68 | CHANG Parker | - | 5% | 23% | 39% | 26% | 5% | |
| 69 | GUGALA Frank | 12% | 38% | 35% | 13% | 2% | - | |
| 70 | HUANG Jinyao | - | 4% | 20% | 38% | 28% | 9% | 1% |
| 71 | OH Joshua | 3% | 15% | 33% | 32% | 14% | 2% | - |
| 72 | WU Rayson siyu | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 73 | ZHUANG Disheng (Eddie) | 1% | 7% | 22% | 32% | 26% | 10% | 2% |
| 74 | CHUN Zachary | 6% | 29% | 38% | 21% | 5% | 1% | - |
| 75 | LIN Joshua | 14% | 34% | 33% | 15% | 3% | - | - |
| 76 | KINGSLEY Griffin | 3% | 16% | 31% | 30% | 15% | 4% | - |
| 77 | LIN George | 20% | 43% | 28% | 8% | 1% | - | - |
| 78 | LI Andy | 14% | 33% | 32% | 16% | 4% | 1% | - |
| 79 | KAYE Ben | 7% | 28% | 37% | 22% | 6% | 1% | - |
| 80 | XIA Vincent | 3% | 18% | 35% | 30% | 12% | 2% | - |
| 80 | HEBERT SEBASTIEN | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 82 | YOUM Tyson | 19% | 41% | 30% | 9% | 1% | - | - |
| 83 | XIE Jayden | 2% | 13% | 32% | 33% | 16% | 4% | - |
| 84 | ZHENG Austin | 9% | 29% | 36% | 20% | 5% | 1% | - |
| 85 | WU David | 41% | 41% | 15% | 3% | - | - | - |
| 86 | HU Daniel | 20% | 42% | 28% | 8% | 1% | - | - |
| 87 | LI Andrew | 11% | 32% | 35% | 18% | 4% | - | - |
| 88 | LI Jayden | 4% | 21% | 38% | 28% | 9% | 1% | - |
| 88 | ZHAI Alex | 2% | 12% | 31% | 34% | 17% | 4% | - |
| 90 | PLOSSER Charlie | 18% | 38% | 31% | 12% | 2% | - | - |
| 91 | WU Max | 38% | 43% | 17% | 3% | - | - | |
| 92 | SUN Ethan | 4% | 21% | 37% | 28% | 10% | 1% | - |
| 93 | JIN Xueyuan George | 2% | 11% | 27% | 32% | 21% | 7% | 1% |
| 93 | KUBBA Krish | 43% | 41% | 14% | 2% | - | - | - |
| 95 | CHAU Ivan | 39% | 41% | 16% | 3% | - | - | - |
| 96 | BRADFORD-WATT Ezra | 21% | 43% | 28% | 7% | 1% | - | - |
| 96 | XUAN nathan | 42% | 44% | 12% | 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.