Intercontinental - Los Angeles Hotel - Los Angeles, CA, 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 | WANG Joey | - | - | - | - | 1% | 14% | 86% |
| 2 | LEE Royce | - | - | - | 3% | 17% | 42% | 37% |
| 3 | LEE Damien | - | - | 1% | 9% | 29% | 41% | 20% |
| 3 | MORIN-JIANG Jake | - | - | - | 2% | 11% | 38% | 49% |
| 5 | WU Johnny y. | - | - | - | 3% | 16% | 41% | 39% |
| 6 | XUE Michael | - | - | 4% | 17% | 36% | 34% | 10% |
| 7 | MAXU Tiger | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 8 | VOO Lucas | 1% | 11% | 29% | 34% | 19% | 5% | - |
| 9 | ADDLEMAN Joshua | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 10 | MENG Haoyi | - | 1% | 9% | 28% | 39% | 21% | 1% |
| 11 | WHITE Ryden | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 12 | BERTEL Florian | - | 4% | 18% | 33% | 31% | 12% | 2% |
| 13 | KIM Alexander | - | - | - | 4% | 17% | 42% | 37% |
| 14 | HERBRANDSON Luke | - | - | 1% | 5% | 21% | 42% | 32% |
| 15 | DU Evan | - | - | 3% | 16% | 36% | 34% | 11% |
| 16 | MA Ciel | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 17 | LIANG Donny | - | - | 3% | 15% | 34% | 36% | 11% |
| 18 | GADHVI Darius | 1% | 10% | 28% | 35% | 21% | 5% | < 1% |
| 19 | DENG Destin | 2% | 13% | 31% | 33% | 16% | 3% | - |
| 20 | RAHMAN Zayd | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 21 | AUYEUNG Aedan Ho lam | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 22 | WANG Kyle | 2% | 12% | 29% | 33% | 18% | 5% | - |
| 23 | WOO Lucas | - | 3% | 14% | 31% | 34% | 16% | 2% |
| 24 | LEE Lucas | 3% | 15% | 32% | 32% | 15% | 3% | - |
| 25 | MOSLEY Wally | - | 3% | 14% | 31% | 33% | 16% | 2% |
| 26 | AVETISIAN Michael | - | 4% | 16% | 33% | 32% | 13% | 1% |
| 27 | RONG Marcus | - | 6% | 23% | 36% | 26% | 8% | 1% |
| 28 | WOOLCOCK Cash | - | 4% | 18% | 35% | 31% | 11% | 1% |
| 29 | HAMILTON Travis | 1% | 5% | 20% | 35% | 29% | 10% | 1% |
| 30 | KIM Daniel | - | - | - | 5% | 22% | 43% | 29% |
| 31 | DENG haoyu | - | 1% | 5% | 18% | 34% | 32% | 11% |
| 32 | WU Nathan | - | 5% | 19% | 33% | 29% | 12% | 2% |
| 33 | RONG Gordon | - | - | 3% | 15% | 35% | 35% | 12% |
| 34 | WANG Dylan | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 35 | PARKE Nathaniel | - | - | 4% | 16% | 35% | 34% | 11% |
| 36 | SUN Jiarui (Jerry) | 2% | 19% | 37% | 29% | 11% | 2% | - |
| 37 | TOUSSAINT Wizard | 3% | 19% | 37% | 29% | 10% | 2% | - |
| 38 | ZHANG Zhihan | 16% | 38% | 32% | 12% | 2% | - | - |
| 39 | RAHMAN Ali | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
| 40 | ENG Kyler | - | 1% | 8% | 24% | 37% | 25% | 5% |
| 41 | PARRA Lucas | 19% | 39% | 29% | 11% | 2% | - | - |
| 42 | NIE Shuobo | 7% | 27% | 36% | 23% | 7% | 1% | - |
| 43 | FU Adrian | 1% | 10% | 27% | 34% | 21% | 6% | - |
| 44 | LIN Bryan | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 45 | LIU Yihong | 12% | 35% | 34% | 15% | 3% | - | - |
| 46 | JAMES Kaden | 12% | 33% | 34% | 16% | 4% | 1% | - |
| 47 | ONG David | 13% | 33% | 33% | 16% | 4% | 1% | - |
| 48 | HWANG Matthew | 2% | 13% | 33% | 34% | 15% | 3% | - |
| 49 | BYUN Matthew | 2% | 13% | 33% | 35% | 15% | 2% | - |
| 50 | NGUYEN Ethan V. | 12% | 34% | 34% | 16% | 4% | - | - |
| 51 | WONG Vansen | 1% | 15% | 35% | 32% | 13% | 2% | - |
| 52 | SCHWARTZMAN Ethan | 3% | 17% | 34% | 30% | 13% | 3% | - |
| 53 | LIU Aiden | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 53 | LIU William | 10% | 32% | 36% | 18% | 4% | - | - |
| 55 | WANG Lucas | - | 1% | 9% | 28% | 40% | 20% | 1% |
| 56 | KOU Mason | 5% | 26% | 38% | 23% | 6% | 1% | - |
| 57 | LI Connor | 43% | 41% | 14% | 2% | - | - | - |
| 58 | ZHAO Luke | 18% | 38% | 30% | 11% | 2% | - | - |
| 59 | SHIH Derek | 17% | 37% | 31% | 12% | 2% | - | - |
| 60 | CHEN Aiden | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 60 | FEKETE Jack Fekete | 23% | 40% | 27% | 9% | 1% | - | - |
| 62 | PARK Sean | 45% | 39% | 13% | 2% | - | - | - |
| 63 | HUNG Ludwig | 69% | 27% | 4% | - | - | - | - |
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.