Meadowlands Expo Center - Secaucus, 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 | TAN Aidan | - | - | - | 1% | 9% | 36% | 53% |
| 2 | GHEDINI Luca | - | - | - | 2% | 17% | 48% | 33% |
| 3 | TANG Terry | - | - | - | 2% | 14% | 41% | 43% |
| 3 | SHENG Dalton | - | - | 1% | 5% | 21% | 42% | 32% |
| 5 | TANG Alexander L. | - | - | - | 4% | 18% | 41% | 37% |
| 5 | PARRISH Evan | - | - | 3% | 15% | 35% | 35% | 11% |
| 7 | LI Bradley | - | - | - | 2% | 14% | 48% | 36% |
| 8 | DESERANNO Leander | - | - | - | 4% | 20% | 47% | 29% |
| 9 | LU Kevin | - | - | 4% | 14% | 30% | 35% | 17% |
| 10 | ZHOU Chenqiao | - | - | - | 1% | 6% | 33% | 60% |
| 11 | PALMA Nathan Anthony | - | - | 1% | 7% | 25% | 42% | 25% |
| 12 | ZHAO Adam | - | - | - | 2% | 16% | 45% | 37% |
| 13 | VADEN Oliver | - | 1% | 5% | 18% | 35% | 32% | 10% |
| 14 | CHEN Ethan | - | - | 3% | 15% | 36% | 35% | 11% |
| 15 | DOELL Ethan | - | - | 2% | 12% | 32% | 38% | 15% |
| 16 | CHEN Hanson | - | 1% | 8% | 26% | 37% | 23% | 5% |
| 17 | TOOMRE Kai | - | 1% | 5% | 20% | 37% | 30% | 7% |
| 18 | GULCHIN Mark (Yerma) | - | - | 1% | 5% | 23% | 43% | 28% |
| 19 | ZENG Rick | - | - | 1% | 8% | 27% | 42% | 22% |
| 20 | YANG Charles | - | - | - | 4% | 20% | 46% | 30% |
| 21 | HUA Aaron | - | 1% | 12% | 36% | 37% | 13% | 1% |
| 22 | CHENG Logan | - | - | 1% | 6% | 25% | 46% | 23% |
| 23 | YU William | 2% | 12% | 27% | 31% | 19% | 6% | 1% |
| 24 | SIMONOV Timofey | - | - | 1% | 5% | 22% | 42% | 30% |
| 25 | CHEN Kyle P. | - | - | 1% | 6% | 23% | 42% | 29% |
| 26 | LIU Eric | - | 2% | 10% | 27% | 37% | 21% | 4% |
| 27 | CHUANG Oscar | - | 4% | 18% | 33% | 30% | 12% | 2% |
| 28 | HOU Gaven | - | 7% | 26% | 36% | 23% | 7% | 1% |
| 29 | ZHANG Lucas | - | 1% | 7% | 25% | 38% | 24% | 5% |
| 30 | JAZWINSKI Ryan | 1% | 8% | 24% | 34% | 24% | 7% | 1% |
| 31 | REN Ryan | 1% | 6% | 22% | 35% | 26% | 9% | 1% |
| 32 | YUE Jackson | 2% | 11% | 26% | 32% | 21% | 7% | 1% |
| 33 | KO Caleb | - | 2% | 10% | 27% | 36% | 22% | 3% |
| 34 | GRIFFITH MCALLISTER thomas | - | - | 1% | 9% | 30% | 41% | 19% |
| 35 | BAI Austin | 32% | 41% | 21% | 5% | 1% | < 1% | - |
| 36 | WANG Luke | 6% | 26% | 38% | 23% | 6% | 1% | - |
| 37 | TANG Royce | 1% | 5% | 17% | 30% | 30% | 15% | 3% |
| 38 | ONIK Ari N. | - | 5% | 20% | 36% | 28% | 10% | 1% |
| 39 | XIE Jicheng | - | 1% | 10% | 32% | 38% | 17% | 2% |
| 40 | YU Haochen | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 41 | LATORRE Leonardo | 1% | 10% | 29% | 36% | 19% | 4% | - |
| 42 | PLUMMER Waylon | 1% | 7% | 24% | 36% | 24% | 7% | 1% |
| 43 | QU Zhida (richard) | 1% | 7% | 24% | 38% | 25% | 5% | - |
| 44 | MO Ethan | - | 2% | 12% | 30% | 35% | 18% | 3% |
| 45 | YAVENDITTI William | 1% | 6% | 23% | 37% | 26% | 6% | - |
| 46 | LU Alex | - | 1% | 8% | 24% | 37% | 25% | 5% |
| 47 | ONG Nicholas | 2% | 12% | 30% | 34% | 18% | 5% | - |
| 48 | NOVIKOV Yann | 4% | 21% | 37% | 27% | 9% | 1% | - |
| 49 | XIE Jayden | 1% | 8% | 26% | 36% | 22% | 6% | 1% |
| 50 | HAN Alexander | - | 4% | 19% | 35% | 29% | 11% | 1% |
| 51 | GRIGORIEV Michael | - | 1% | 9% | 28% | 37% | 21% | 4% |
| 52 | KINGSLEY Griffin | - | 4% | 18% | 36% | 31% | 9% | 1% |
| 53 | SICAT Justin | 2% | 14% | 33% | 34% | 15% | 2% | - |
| 54 | TSAY Jordan R. | - | - | 3% | 18% | 41% | 34% | 5% |
| 55 | JIN Andy | - | 3% | 13% | 31% | 34% | 16% | 2% |
| 56 | XU Nathan | 5% | 20% | 32% | 27% | 13% | 3% | - |
| 57 | ZHAI Derrick | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 58 | ZHONG Maxwell | 15% | 35% | 32% | 15% | 3% | - | - |
| 59 | WANG Tiger | 2% | 12% | 27% | 32% | 20% | 7% | 1% |
| 60 | WANG Ancen | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 61 | ZHAO Ryan | 2% | 16% | 35% | 33% | 12% | 1% | - |
| 62 | ZHANG Albert | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 63 | QIAN Henry | 1% | 10% | 29% | 35% | 19% | 5% | - |
| 64 | WANG Ralph | 20% | 43% | 28% | 8% | 1% | - | - |
| 65 | ABRAMKIN Tim | 3% | 22% | 44% | 25% | 6% | - | - |
| 66 | NABASSOUA Djibril | 8% | 30% | 37% | 20% | 4% | - | - |
| 67 | POLEBOYINA Amrit | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 68 | LU Hansen | 9% | 31% | 36% | 18% | 4% | - | - |
| 69 | WEI JR Shan | 2% | 14% | 32% | 32% | 16% | 3% | - |
| 70 | WU Isaac | 48% | 41% | 10% | 1% | - | - | - |
| 71 | KRZYWON Dylan | 39% | 41% | 17% | 3% | - | - | - |
| 72 | HE Ryan | 5% | 22% | 37% | 27% | 8% | 1% | - |
| 73 | YOU Alan | 1% | 13% | 33% | 33% | 16% | 3% | - |
| 74 | LIN Wilson | 15% | 43% | 31% | 10% | 1% | - | - |
| 75 | MARTIRE Luca | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 76 | PAULUS Gregory | 17% | 39% | 31% | 11% | 2% | - | - |
| 77 | WONG Jacob W. | - | 4% | 20% | 37% | 28% | 9% | 1% |
| 78 | KOVACS Harrison | 4% | 18% | 31% | 29% | 14% | 4% | - |
| 78 | BO Aiden | 45% | 41% | 12% | 1% | - | - | - |
| 80 | WANG ZEYU | 8% | 30% | 37% | 20% | 5% | 1% | - |
| 80 | ZHAI Alex | 2% | 16% | 35% | 32% | 13% | 2% | - |
| 82 | ZHENG Austin | 19% | 39% | 29% | 10% | 2% | - | - |
| 83 | ZHANG Hanru | 2% | 14% | 32% | 33% | 16% | 4% | - |
| 84 | TSENG Lucas | 26% | 42% | 25% | 7% | 1% | - | - |
| 85 | HUANG Jinyao | - | 11% | 31% | 35% | 18% | 4% | - |
| 86 | SONG Yuxuan Austin | 26% | 42% | 24% | 7% | 1% | - | - |
| 87 | TAN Charlie | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 88 | XIA Philip | 27% | 43% | 24% | 6% | 1% | - | - |
| 89 | LIU Alex | 1% | 13% | 37% | 34% | 13% | 2% | - |
| 90 | HUYNH Matthew | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 91 | BAS Jonathan | 6% | 29% | 38% | 21% | 5% | - | - |
| 91 | FRASER Rhys | 3% | 18% | 35% | 31% | 12% | 2% | - |
| 93 | KIAYIAS Alexander | 20% | 41% | 29% | 9% | 1% | - | - |
| 94 | CZARNECKI Thomas | 4% | 21% | 36% | 27% | 10% | 2% | - |
| 95 | ZHANG Zijie | 30% | 42% | 22% | 5% | 1% | - | - |
| 96 | BRAIZINHA David | 16% | 45% | 30% | 8% | 1% | - | - |
| 96 | HUANG Anthony | 41% | 40% | 16% | 3% | - | - | - |
| 98 | ZHANG Ethan | 85% | 14% | 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.