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 | WONG Kyle | - | 1% | 5% | 20% | 37% | 29% | 7% |
| 2 | VINCENT-GRAVENHISE Malcolm | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 3 | LI Nolan | - | - | 3% | 17% | 38% | 33% | 9% |
| 3 | GAO Guanyi (Jonathan) | - | 2% | 9% | 23% | 33% | 25% | 8% |
| 5 | CHEN Benjamin | 1% | 5% | 17% | 30% | 30% | 15% | 3% |
| 6 | LI Kingston | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 7 | NGUYEN Norris | 1% | 6% | 19% | 31% | 28% | 13% | 2% |
| 8 | GUJJA Rishabh | - | 2% | 12% | 29% | 35% | 19% | 4% |
| 9 | WANG Mason | - | 1% | 4% | 16% | 33% | 33% | 13% |
| 10 | IVANOV Andrew | - | - | 1% | 9% | 29% | 41% | 20% |
| 11 | YAO Irvine | - | 1% | 9% | 26% | 36% | 22% | 5% |
| 12 | ZHOU Luke | - | - | - | 3% | 18% | 43% | 35% |
| 13 | MAXWELL Taiga | 1% | 7% | 21% | 31% | 26% | 11% | 2% |
| 14 | CHEN Regis | - | - | 2% | 12% | 30% | 37% | 18% |
| 15 | YAN Milan | 3% | 14% | 29% | 30% | 18% | 6% | 1% |
| 16 | YOU Emmanuel | 1% | 7% | 20% | 32% | 27% | 12% | 2% |
| 17 | FANG Charlie | - | - | 1% | 8% | 25% | 40% | 26% |
| 18 | XIONG Alec | - | 2% | 12% | 28% | 34% | 20% | 4% |
| 19 | TANG Jayce | 1% | 11% | 30% | 36% | 18% | 4% | - |
| 20 | YOU Asher | - | 4% | 15% | 29% | 31% | 17% | 4% |
| 21 | HONG Evan | - | - | 1% | 9% | 30% | 41% | 19% |
| 22 | CHARNA Luca | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 23 | SHABBIR Mohammad Amaan | 4% | 19% | 32% | 28% | 13% | 3% | - |
| 24 | MAZAHERI John | 1% | 7% | 21% | 32% | 27% | 11% | 2% |
| 25 | ALI Akash | 3% | 14% | 28% | 30% | 18% | 6% | 1% |
| 26 | BOYT Evan | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 27 | NG Remy | - | - | 3% | 12% | 29% | 37% | 19% |
| 28 | TANG Jake | 4% | 21% | 35% | 27% | 11% | 2% | - |
| 29 | MALIK Nouman | 5% | 19% | 32% | 27% | 13% | 3% | - |
| 30 | MAK Nolan | 5% | 24% | 36% | 25% | 9% | 1% | - |
| 31 | ZHANG Leo | 1% | 6% | 19% | 31% | 28% | 13% | 3% |
| 32 | MILOWSKY Majai | 11% | 30% | 33% | 19% | 6% | 1% | - |
| 33 | YOON Ian | 11% | 31% | 34% | 18% | 5% | 1% | - |
| 34 | YANG JULIAN | - | 1% | 5% | 21% | 38% | 28% | 7% |
| 35 | LU Tori | 8% | 26% | 34% | 22% | 8% | 1% | - |
| 36 | GOH Cayden | 1% | 5% | 17% | 30% | 29% | 14% | 3% |
| 37 | CHEUNG Daniel | - | - | 2% | 10% | 27% | 39% | 22% |
| 38 | MILLER Brodrick | 3% | 16% | 31% | 30% | 15% | 4% | - |
| 39 | JAISING Kian | 1% | 8% | 27% | 37% | 22% | 5% | - |
| 40 | ZHANG Jacob | 16% | 38% | 32% | 12% | 2% | - | - |
| 41 | CAVALLARO Xavier | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 42 | ZHOU Silvan | 4% | 19% | 32% | 28% | 13% | 3% | - |
| 43 | XIE Vasco | 6% | 24% | 35% | 24% | 9% | 2% | - |
| 44 | GAO Kevin | - | 1% | 6% | 22% | 39% | 26% | 6% |
| 45 | AU Wesley | 1% | 10% | 28% | 34% | 21% | 6% | 1% |
| 46 | LEE Samuel | 1% | 11% | 30% | 34% | 18% | 5% | - |
| 47 | SALIBA Jackson | 1% | 9% | 24% | 32% | 23% | 9% | 1% |
| 48 | LUO Sebastian | - | 3% | 13% | 29% | 33% | 18% | 3% |
| 49 | HWANG Chase | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 50 | LAW Benjamin | 4% | 22% | 38% | 27% | 8% | 1% | - |
| 51 | CURTISS Cameron | 58% | 34% | 8% | 1% | - | - | - |
| 52 | ADDYSON Evan | 12% | 34% | 35% | 16% | 3% | - | - |
| 53 | PRIETO Cole | - | 4% | 15% | 29% | 30% | 17% | 4% |
| 54 | LEE Derek | 1% | 9% | 27% | 35% | 21% | 5% | - |
| 55 | LEE Zeo | 21% | 42% | 28% | 8% | 1% | - | - |
| 56 | XI Eric | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 57 | CHEN Bao | 9% | 28% | 35% | 21% | 6% | 1% | - |
| 58 | YUEH Thomas | 22% | 40% | 27% | 9% | 2% | - | - |
| 59 | TRIVULCE Ethan | 25% | 40% | 26% | 8% | 1% | - | - |
| 59 | YIN Xiangheng | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 61 | CHEN Boru | 21% | 43% | 28% | 8% | 1% | - | - |
| 62 | BACON Bryce | 9% | 30% | 36% | 19% | 5% | 1% | - |
| 63 | TUTELMAN Shon | 2% | 10% | 26% | 33% | 22% | 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.