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 | LUO Alexander | - | - | - | 4% | 20% | 43% | 33% |
| 2 | ZHANG Sean | - | - | - | 1% | 6% | 32% | 61% |
| 3 | KROPP Wesley | - | - | - | 3% | 17% | 43% | 36% |
| 3 | MADRIGAL SALVAT Guillermo | - | 1% | 4% | 16% | 32% | 33% | 14% |
| 5 | KUANG Cyrus | - | - | 3% | 15% | 36% | 35% | 12% |
| 6 | TUBALTSEV Evan | - | - | - | 1% | 8% | 35% | 56% |
| 7 | YAO Ryan | - | - | 2% | 17% | 38% | 33% | 10% |
| 8 | CHIANG William | - | - | 4% | 19% | 38% | 31% | 8% |
| 9 | SHAO Mason | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 10 | YAO Aiden | - | 1% | 9% | 25% | 35% | 24% | 6% |
| 11 | MASKIN Mikhail | - | - | 3% | 13% | 31% | 37% | 16% |
| 12 | ROBERTS Arthur | - | - | 1% | 9% | 31% | 41% | 19% |
| 13 | ZHANG Chaoyi（Joey） | - | 3% | 15% | 33% | 34% | 14% | 1% |
| 14 | WU MiEr | - | 1% | 8% | 23% | 34% | 26% | 8% |
| 15 | WANG Suian (Andy) | - | 1% | 6% | 21% | 38% | 28% | 7% |
| 16 | CHA Aiden | - | 6% | 23% | 38% | 25% | 7% | 1% |
| 17 | MA Joseph | - | - | - | - | 3% | 26% | 71% |
| 18 | CAMP William | - | - | 4% | 19% | 39% | 30% | 8% |
| 19 | SHI Zhicheng | - | 2% | 11% | 28% | 34% | 20% | 5% |
| 20 | CHEN Daniel | - | - | 2% | 10% | 28% | 40% | 20% |
| 21 | VINCENT-GRAVENHISE Malcolm | - | 2% | 10% | 26% | 35% | 23% | 6% |
| 22 | ARMSTRONG Payson | - | 1% | 9% | 28% | 38% | 21% | 2% |
| 23 | YOON Jonathan | 2% | 11% | 26% | 32% | 21% | 7% | 1% |
| 24 | LI Bryan | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 25 | DAI Jason | - | 2% | 12% | 31% | 36% | 17% | 2% |
| 26 | KIM Siwoo | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 27 | MA yuwei | 2% | 12% | 27% | 32% | 20% | 7% | 1% |
| 28 | NOOL Aaron | 1% | 9% | 25% | 34% | 24% | 7% | 1% |
| 29 | DU Evan | - | 1% | 7% | 23% | 38% | 27% | 4% |
| 30 | CHEN Zachary | 1% | 7% | 21% | 33% | 27% | 10% | 1% |
| 31 | ZHAO Brandon | 2% | 12% | 28% | 32% | 20% | 6% | 1% |
| 32 | WANG Mason | 3% | 15% | 30% | 31% | 17% | 4% | - |
| 33 | LIU Alrik SiWei | 2% | 15% | 36% | 33% | 12% | 2% | - |
| 34 | LAI Jayden | 4% | 20% | 37% | 28% | 10% | 1% | - |
| 35 | PARK Ethan | 4% | 20% | 35% | 29% | 11% | 2% | - |
| 36 | GENG Michael | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 37 | ZHOU Luke | - | - | 3% | 15% | 37% | 35% | 9% |
| 38 | HU Charles | - | 1% | 6% | 29% | 39% | 21% | 4% |
| 39 | ZHANG Jayden | 11% | 32% | 34% | 18% | 5% | 1% | - |
| 40 | MAZAHERI Theodore | 4% | 24% | 39% | 25% | 7% | 1% | - |
| 41 | ZHENG Jasper | 12% | 33% | 34% | 17% | 4% | - | - |
| 42 | KANG Ihan | - | 5% | 20% | 36% | 29% | 9% | 1% |
| 43 | WANG Henry | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 44 | CHEN Regis | 3% | 17% | 36% | 31% | 12% | 2% | - |
| 45 | GOH Cayden | 44% | 40% | 14% | 2% | - | - | - |
| 46 | WHITE Leonardo | 10% | 39% | 39% | 11% | 1% | - | - |
| 47 | SHAYAKHMETOV Maxim | 12% | 32% | 33% | 18% | 5% | 1% | - |
| 48 | NIU Alexandre | - | 1% | 8% | 22% | 34% | 27% | 8% |
| 49 | BOYT Evan | 3% | 17% | 32% | 30% | 15% | 4% | - |
| 50 | ZINCHUK Yuri | 5% | 21% | 36% | 28% | 10% | 1% | - |
| 51 | YAO Irvine | 19% | 41% | 30% | 9% | 1% | - | - |
| 52 | BRISTOL COLTON JOASH | 10% | 31% | 35% | 19% | 4% | - | - |
| 53 | KIM Brendan | 5% | 22% | 34% | 26% | 11% | 2% | - |
| 54 | WANG William | 20% | 40% | 29% | 10% | 1% | - | - |
| 55 | ZHANG William | 9% | 34% | 37% | 17% | 3% | - | - |
| 56 | ZHU David | 21% | 44% | 29% | 6% | 1% | - | - |
| 57 | THOMSON Piers | 2% | 15% | 32% | 31% | 16% | 4% | - |
| 58 | YOU Emmanuel | 6% | 23% | 34% | 25% | 9% | 2% | - |
| 59 | MORET Declan | 38% | 43% | 17% | 3% | - | - | - |
| 60 | SHABBIR Mohammad Amaan | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 61 | TAN Wyatt | 27% | 46% | 23% | 4% | - | - | - |
| 61 | CHAN Seanan | 23% | 41% | 26% | 8% | 1% | - | - |
| 63 | ZHANG Jacob | 6% | 33% | 39% | 18% | 3% | - | - |
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.