Ontario Convention Center - Hall B - Ontario, 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% | 10% | 60% | 30% |
| 2 | MULCAHY Sebastian | - | - | - | 2% | 12% | 40% | 47% |
| 3 | TUBALTSEV Evan | - | - | 3% | 13% | 30% | 36% | 18% |
| 3 | WANG Devin | - | 4% | 17% | 35% | 33% | 10% | < 1% |
| 5 | RONG Gordon | - | - | 1% | 8% | 26% | 41% | 24% |
| 6 | XUE Michael | - | 1% | 7% | 22% | 37% | 27% | 6% |
| 7 | FU Nolan | - | 1% | 6% | 20% | 35% | 30% | 9% |
| 8 | BERTEL Florian | 4% | 17% | 32% | 29% | 14% | 3% | - |
| 9 | CHAN JR Jason | - | - | 3% | 12% | 30% | 37% | 18% |
| 10 | LIU Xuyao | 9% | 32% | 36% | 18% | 4% | < 1% | - |
| 11 | DU Evan | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 12 | SU Samuel | - | 2% | 10% | 27% | 36% | 21% | 4% |
| 13 | GACIOCH Noah | - | - | 2% | 13% | 34% | 39% | 11% |
| 14 | ENG Kyler | - | 1% | 8% | 26% | 40% | 24% | |
| 15 | RONG Marcus | 1% | 10% | 28% | 36% | 21% | 4% | |
| 16 | WU Nathan | - | 1% | 6% | 22% | 39% | 28% | 4% |
| 17 | OBERDERFER Viktor | 1% | 9% | 27% | 36% | 21% | 5% | < 1% |
| 18 | HARRIS Hayden | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 19 | MOSLEY Wally | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
| 20 | WONG Aaron | - | 5% | 19% | 33% | 28% | 12% | 2% |
| 21 | LIU Aiden | - | 5% | 19% | 35% | 30% | 10% | - |
| 22 | ADDLEMAN Joshua | - | - | - | 1% | 10% | 39% | 49% |
| 23 | MA Ciel | 8% | 28% | 36% | 22% | 6% | 1% | |
| 24 | WHITE Ryden | - | - | 3% | 16% | 36% | 35% | 10% |
| 25 | SCHWARTZMAN Ethan | - | 3% | 14% | 33% | 35% | 15% | 1% |
| 26 | TOUSSAINT Wizard | - | - | 1% | 5% | 23% | 44% | 27% |
| 27 | GREENMAN Duke | 12% | 34% | 34% | 16% | 4% | - | - |
| 28 | VOO Lucas | 2% | 11% | 26% | 32% | 21% | 7% | 1% |
| 29 | HUA Nolan | - | 5% | 20% | 35% | 29% | 10% | - |
| 30 | LEE Lucas | 17% | 36% | 30% | 13% | 3% | - | - |
| 31 | KIM Evan | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 32 | SRIKANTH Hariharan | 6% | 25% | 36% | 24% | 8% | 1% | |
| 33 | YU Brandon | 18% | 38% | 31% | 11% | 2% | - | - |
| 34 | WANG Lucas | - | 6% | 23% | 37% | 26% | 7% | 1% |
| 35 | CHEN Aiden | 1% | 5% | 18% | 31% | 29% | 14% | 2% |
| 36 | DENG haoyu | - | - | 1% | 4% | 19% | 42% | 34% |
| 37 | ZHANG Zhihan | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 38 | KHUSHRAJ Rohan | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 39 | SHOURIE Seth | 2% | 11% | 28% | 34% | 20% | 6% | 1% |
| 40 | BALUCAN Caelus | 1% | 10% | 27% | 35% | 22% | 5% | |
| 41 | LI Stephen | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 42 | JAMES Kaden | 2% | 11% | 28% | 34% | 19% | 5% | - |
| 43 | SHOURIE Neel | 1% | 9% | 29% | 36% | 20% | 4% | - |
| 44 | BALUCAN Gabriel | 1% | 7% | 22% | 33% | 25% | 9% | 1% |
| 45 | WONG Alexander | 2% | 11% | 30% | 35% | 19% | 4% | - |
| 46 | SHIH Derek | 5% | 22% | 36% | 26% | 9% | 1% | - |
| 47 | GUO Luke | 17% | 36% | 31% | 13% | 3% | - | - |
| 48 | SANDIRI Shanmukh Rishith | 13% | 34% | 34% | 16% | 4% | - | |
| 49 | DING Max | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 50 | NGUYEN Ethan | 5% | 23% | 35% | 26% | 10% | 2% | - |
| 51 | LIN Daniel | 9% | 35% | 36% | 16% | 3% | - | - |
| 52 | LIU Alrik SiWei | 15% | 38% | 32% | 12% | 2% | - | - |
| 53 | YU Haoyun | 17% | 37% | 31% | 13% | 3% | - | - |
| 54 | THOMPSON Luca | 5% | 20% | 33% | 27% | 12% | 3% | - |
| 55 | SUN Jiarui (Jerry) | 23% | 40% | 27% | 9% | 1% | - | - |
| 56 | ABD ALLAH Hamza | 4% | 20% | 33% | 28% | 12% | 3% | - |
| 57 | FERRIERE Theo | 14% | 35% | 33% | 15% | 3% | - | - |
| 58 | LUO Alvin Y. | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 58 | ZHANG William | 39% | 42% | 16% | 3% | - | - | - |
| 60 | ZHU Jayden | < 1% | 6% | 24% | 36% | 25% | 7% | 1% |
| 61 | CHAN Calvin | 4% | 20% | 36% | 29% | 10% | 2% | - |
| 62 | CHU Clayton | 36% | 42% | 18% | 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.