Ontario Convention Center - Hall A&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 | - | - | - | - | 5% | 33% | 61% |
| 2 | ERLIKHMAN Adrian | - | - | - | 3% | 16% | 41% | 39% |
| 3 | KIM Jayden | - | - | - | 1% | 10% | 37% | 51% |
| 3 | WONG Baron | - | 1% | 9% | 28% | 40% | 22% | |
| 5 | SAUNIER Cameron | - | - | 4% | 22% | 45% | 29% | |
| 6 | LEE Damien | - | - | 4% | 17% | 35% | 33% | 11% |
| 7 | WU Steven | - | - | 2% | 14% | 37% | 37% | 9% |
| 8 | LI zerong | - | 1% | 13% | 40% | 36% | 10% | |
| 9 | AVETISIAN Michael | 1% | 10% | 31% | 37% | 19% | 3% | |
| 10 | CHEN Zhengyang (Allen) | - | - | - | 1% | 8% | 34% | 57% |
| 11 | LIU Yueri | - | - | 4% | 24% | 46% | 26% | |
| 12 | JAIN Samyak | - | - | 1% | 9% | 28% | 40% | 21% |
| 13 | TAI Edison | - | - | - | 1% | 11% | 40% | 47% |
| 14 | GACIOCH Noah | - | - | 4% | 16% | 34% | 33% | 12% |
| 15 | LI Yunji (Rain) | - | - | 4% | 20% | 42% | 32% | |
| 16 | CHEW Aedan | 3% | 22% | 39% | 27% | 8% | 1% | |
| 17 | MODANLOU Navid | - | - | 2% | 11% | 30% | 39% | 18% |
| 18 | LEE Royce | 1% | 6% | 22% | 37% | 28% | 7% | |
| 19 | GOROZA Eric | - | 3% | 15% | 36% | 36% | 11% | |
| 20 | KIM Teddy | - | - | 2% | 9% | 26% | 40% | 23% |
| 21 | WU Johnny y. | - | - | 3% | 13% | 32% | 36% | 15% |
| 22 | MILEY Walker | - | 2% | 12% | 28% | 35% | 20% | 3% |
| 23 | MORIN-JIANG Jake | - | - | 4% | 19% | 43% | 34% | |
| 24 | DONG Haiyi | - | - | 3% | 13% | 31% | 37% | 16% |
| 25 | ZHANG Albert | - | 1% | 7% | 22% | 37% | 27% | 6% |
| 26 | PUTTAMRAJU Nikhil | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 27 | GREENMAN Duke | 1% | 9% | 28% | 38% | 20% | 3% | - |
| 28 | MULCAHY Sebastian | - | - | 6% | 28% | 44% | 21% | |
| 29 | AHMED Mohsen | 1% | 6% | 23% | 37% | 26% | 7% | |
| 30 | SHOUSHA Hamza | - | - | 4% | 18% | 41% | 37% | |
| 31 | CLAES Thomas | - | 1% | 5% | 18% | 34% | 32% | 11% |
| 32 | LIU Zicheng | - | 2% | 10% | 27% | 36% | 22% | 5% |
| 33 | DENG haoyu | - | 1% | 7% | 26% | 41% | 22% | 3% |
| 34 | KIM Alexander | - | - | 1% | 7% | 29% | 50% | 14% |
| 35 | FEI Victor | - | 1% | 7% | 30% | 43% | 19% | |
| 36 | SHEN Jiayi | - | 2% | 12% | 30% | 35% | 18% | 3% |
| 37 | FAN Jordan | - | 4% | 19% | 38% | 31% | 7% | - |
| 38 | ROSADO Balthazar Francisco | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 39 | LOUIE Joseph | - | 4% | 18% | 34% | 30% | 12% | 1% |
| 40 | WANG Lucas | 2% | 14% | 30% | 32% | 17% | 4% | - |
| 41 | FU Nolan | 1% | 11% | 27% | 34% | 20% | 6% | 1% |
| 42 | LI Sean | 31% | 42% | 21% | 5% | 1% | - | - |
| 43 | ADDLEMAN Joshua | - | 3% | 17% | 34% | 31% | 13% | 2% |
| 44 | NAEMI Barsam | - | 3% | 17% | 41% | 31% | 7% | |
| 45 | SATISHKUMAR Pranav | 22% | 40% | 28% | 9% | 1% | - | |
| 46 | MEHROTRA Neel | - | 5% | 22% | 38% | 28% | 7% | |
| 47 | RONG Gordon | 1% | 9% | 27% | 37% | 22% | 5% | |
| 48 | SCHWARTZMAN Ethan | 2% | 13% | 32% | 33% | 16% | 4% | - |
| 49 | WANG Jiacheng | 2% | 17% | 39% | 31% | 10% | 1% | - |
| 50 | GUO Woody | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 51 | KOFMAN David | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 52 | HERBRANDSON Luke | - | 4% | 18% | 34% | 31% | 12% | 1% |
| 53 | VAN JAARSVELD Leo | 4% | 19% | 33% | 28% | 12% | 3% | - |
| 54 | DAI Steven (Chengwen) | 7% | 30% | 37% | 20% | 5% | - | |
| 55 | DU Evan | 1% | 17% | 37% | 32% | 12% | 1% | |
| 56 | CHEN Aiden | 8% | 29% | 37% | 21% | 5% | - | |
| 57 | LIANG Donny | 1% | 11% | 30% | 36% | 18% | 3% | |
| 58 | KIM Evan | 11% | 33% | 35% | 17% | 4% | - | - |
| 59 | WOOLCOCK Cash | 7% | 38% | 38% | 14% | 2% | - | - |
| 60 | XUE Michael | 3% | 16% | 31% | 30% | 15% | 4% | - |
| 61 | RONG Marcus | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 62 | KIM Julian | 2% | 14% | 33% | 34% | 15% | 2% | |
| 63 | WANG aaron | 1% | 16% | 36% | 32% | 12% | 2% | |
| 64 | KIM Remington | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 65 | GUO Luke | 22% | 48% | 25% | 4% | - | - | |
| 66 | TANG Zheng | - | 3% | 16% | 33% | 33% | 14% | 2% |
| 67 | AUYEUNG Aedan Ho lam | 2% | 14% | 32% | 32% | 16% | 4% | - |
| 68 | PARKE Nathaniel | - | 5% | 19% | 34% | 30% | 11% | 1% |
| 69 | RODOCANACHI Hector | 1% | 6% | 21% | 34% | 27% | 10% | 1% |
| 70 | MENG Haoyi | 11% | 37% | 37% | 13% | 2% | - | |
| 71 | TANG Michael | 1% | 11% | 32% | 37% | 17% | 3% | |
| 72 | DILEEP Roshan | 4% | 19% | 34% | 28% | 12% | 2% | - |
| 73 | ENG Kyler | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 74 | GADHVI Darius | 2% | 17% | 36% | 30% | 12% | 2% | - |
| 75 | HAMILTON Travis | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 76 | DENG Destin | 4% | 20% | 38% | 29% | 9% | 1% | - |
| 77 | WONG Vansen | 20% | 43% | 30% | 7% | 1% | - | |
| 78 | WU Nathan | 4% | 22% | 39% | 27% | 8% | 1% | |
| 78 | MA Nolan | 4% | 26% | 45% | 21% | 4% | - | |
| 80 | DING Max | 5% | 22% | 37% | 27% | 8% | 1% | |
| 81 | LEE Damon | 21% | 43% | 28% | 7% | 1% | - | |
| 82 | YAO Tristan | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 83 | MOU Jaydon | 13% | 33% | 33% | 17% | 4% | - | - |
| 84 | FU Adrian | - | 5% | 25% | 40% | 24% | 5% | - |
| 84 | LIN Daniel | 24% | 43% | 26% | 7% | 1% | - | - |
| 86 | VOO Lucas | 8% | 31% | 36% | 19% | 5% | 1% | - |
| 87 | LIFE Tobe | 20% | 39% | 29% | 10% | 2% | - | - |
| 88 | ZHANG Austin | 8% | 31% | 36% | 19% | 5% | 1% | - |
| 89 | MA Ciel | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 90 | LIU Xuyao | 38% | 42% | 17% | 3% | - | - | |
| 91 | PISCITELLO Aleksandr | 44% | 41% | 13% | 2% | - | - | - |
| 91 | WANG Dylan | 13% | 33% | 33% | 17% | 4% | 1% | - |
| 93 | QIU William | 18% | 40% | 31% | 10% | 1% | - | - |
| 93 | LI Terrance | 64% | 31% | 5% | - | - | - | - |
| 95 | STREAM Logan | 39% | 45% | 15% | 2% | - | - | |
| 96 | MILLER Xavier | 50% | 37% | 11% | 2% | - | - | - |
| 97 | YEE Lucas | 52% | 37% | 10% | 1% | - | - | |
| 98 | LEE Davidson | 69% | 27% | 4% | - | - | - | |
| 99 | LIN Jason | 24% | 40% | 26% | 8% | 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.