Ontario Convention Center - 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 | YAO Geoffrey B. | - | - | - | 1% | 7% | 34% | 59% |
| 2 | PARK Sangwook | - | - | 1% | 6% | 23% | 42% | 28% |
| 3 | ERLIKHMAN Adrian | - | - | 3% | 18% | 45% | 34% | |
| 3 | ROBINSON Samuel | - | - | - | 1% | 6% | 32% | 61% |
| 5 | JAIN Samyak | - | - | - | 3% | 16% | 44% | 36% |
| 6 | ZHENG Haoran | - | - | - | - | 1% | 16% | 83% |
| 7 | KIM Sullivan | - | - | - | - | 3% | 22% | 75% |
| 8 | WU Steven | - | - | 4% | 15% | 32% | 34% | 14% |
| 9 | TANG Mingyuan | - | - | 1% | 6% | 23% | 43% | 28% |
| 10 | DONG Haiyi | - | - | 3% | 17% | 39% | 34% | 6% |
| 11 | LI Ethan R. | - | 1% | 7% | 28% | 44% | 20% | |
| 12 | MIAO KUNQI | - | 1% | 5% | 21% | 42% | 32% | |
| 13 | WU Johnny y. | - | 2% | 11% | 28% | 34% | 20% | 5% |
| 14 | LEHNER Brian | - | 2% | 12% | 31% | 37% | 18% | 1% |
| 15 | LEE Jake (JiYuen) | - | 1% | 7% | 21% | 35% | 28% | 8% |
| 16 | DENG haoyu | 1% | 7% | 26% | 37% | 23% | 6% | - |
| 17 | AVETISIAN Alexander | - | 1% | 5% | 19% | 34% | 30% | 11% |
| 18 | ZHANG Austin | 2% | 13% | 33% | 34% | 16% | 3% | |
| 19 | CHEW Aedan | - | 4% | 17% | 36% | 33% | 10% | |
| 20 | SCHERZAY Ian | 2% | 13% | 30% | 33% | 18% | 5% | - |
| 21 | YU Austin | - | - | 4% | 19% | 43% | 35% | |
| 22 | XU Che | - | 6% | 22% | 34% | 26% | 10% | 1% |
| 23 | SANKEY Levi | - | - | 1% | 7% | 27% | 44% | 20% |
| 24 | MAXU Tiger | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 24 | CHU Theodore | 2% | 18% | 34% | 29% | 13% | 3% | - |
| 26 | MORIN-JIANG Jake | - | 1% | 5% | 22% | 42% | 30% | |
| 27 | LI Yunji (Rain) | - | 3% | 16% | 35% | 34% | 10% | |
| 28 | YOUNG Quentin | 2% | 12% | 33% | 36% | 16% | 2% | |
| 29 | PARKE Nathaniel | - | 4% | 17% | 35% | 32% | 11% | |
| 30 | LOUIE Joseph | - | 3% | 15% | 35% | 34% | 12% | 1% |
| 31 | DILLON Anik | - | - | 2% | 10% | 29% | 39% | 20% |
| 32 | ADDLEMAN Joshua | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 33 | KIM Alexander | - | 4% | 18% | 33% | 29% | 13% | 2% |
| 34 | MCLAREN Mason | - | 2% | 12% | 29% | 34% | 19% | 4% |
| 35 | SHIN Ryan | - | 1% | 6% | 22% | 39% | 28% | 4% |
| 36 | SIM Ian | - | - | 3% | 14% | 34% | 36% | 13% |
| 37 | WHITE Ryden | - | 4% | 19% | 36% | 30% | 10% | 1% |
| 38 | SANKEY Luka | - | 1% | 7% | 24% | 38% | 25% | 5% |
| 39 | TAGKOPOULOS Pagkratios | - | 3% | 17% | 38% | 32% | 9% | - |
| 40 | CHARETTE Matthew | - | 3% | 16% | 36% | 32% | 11% | 1% |
| 41 | GADHVI Darius | 1% | 13% | 32% | 34% | 16% | 4% | - |
| 41 | DAVIDSON James | 4% | 26% | 41% | 23% | 5% | - | - |
| 43 | CHENG Trevor | 3% | 15% | 33% | 33% | 14% | 2% | |
| 44 | WONG Preston | - | 3% | 14% | 33% | 36% | 14% | |
| 45 | LEE Royce | - | 3% | 15% | 35% | 36% | 11% | |
| 46 | FEI Victor | 1% | 8% | 25% | 37% | 24% | 6% | |
| 47 | GOROZA Eric | 1% | 10% | 29% | 37% | 20% | 4% | |
| 48 | FU Nolan | 4% | 22% | 38% | 27% | 8% | 1% | |
| 49 | CHANG Andrew | - | 1% | 5% | 18% | 35% | 32% | 11% |
| 50 | DENISON Declan | - | - | 3% | 14% | 34% | 36% | 13% |
| 51 | KOFMAN David | 1% | 8% | 26% | 37% | 23% | 6% | - |
| 52 | DENG Destin | 6% | 27% | 38% | 22% | 6% | 1% | - |
| 53 | VOO Lucas | - | 6% | 23% | 36% | 25% | 8% | 1% |
| 54 | CHARETTE Alex | - | 7% | 25% | 37% | 24% | 6% | - |
| 55 | LIANG Donny | 3% | 17% | 38% | 32% | 10% | 1% | |
| 56 | POSSON Luke | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 57 | KIM Ian | - | 1% | 8% | 29% | 41% | 21% | 1% |
| 58 | LEE Damien | - | 1% | 7% | 26% | 42% | 23% | 2% |
| 59 | RUFANOV Maxim | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 60 | AVETISIAN Michael | 1% | 12% | 31% | 35% | 17% | 4% | - |
| 61 | WANG Devin | - | 4% | 18% | 36% | 31% | 10% | 1% |
| 62 | ZHANG Luqi | 4% | 20% | 37% | 28% | 10% | 1% | - |
| 63 | PUTTAMRAJU Nikhil | - | 6% | 23% | 37% | 26% | 7% | 1% |
| 64 | LIN Daniel | 34% | 44% | 19% | 3% | - | - | |
| 65 | KIM Remington | 8% | 28% | 37% | 22% | 6% | - | |
| 66 | SU Samuel | - | 4% | 19% | 36% | 30% | 10% | 1% |
| 67 | OR Anson | 55% | 36% | 8% | 1% | - | - | - |
| 68 | SCHWITZER Eliot | 2% | 19% | 36% | 30% | 11% | 2% | - |
| 69 | LEUNG Dylan | 3% | 19% | 34% | 29% | 12% | 3% | - |
| 70 | SCHIPPER Johann | 4% | 23% | 38% | 26% | 8% | 1% | - |
| 71 | QIAO James | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 72 | EMERSON Zachary | 1% | 11% | 32% | 35% | 17% | 3% | - |
| 73 | WOO Lucas | 4% | 21% | 37% | 28% | 9% | 1% | - |
| 74 | FUNG SHAUN | 18% | 39% | 31% | 11% | 2% | - | |
| 75 | LITTLE Alex | 2% | 15% | 36% | 34% | 12% | 1% | |
| 76 | SARMIENTO Luke | 4% | 19% | 34% | 28% | 12% | 2% | - |
| 77 | WANG Lucas | 5% | 28% | 38% | 22% | 6% | 1% | - |
| 78 | PARRA Lucas | 15% | 38% | 33% | 12% | 2% | - | - |
| 79 | JONES Rodney | 6% | 28% | 38% | 22% | 5% | - | |
| 80 | WANG Dylan | 36% | 42% | 18% | 3% | - | - | |
| 81 | SUROV Alexander | 10% | 32% | 36% | 18% | 4% | - | |
| 82 | CHEONG Cameron | 6% | 25% | 37% | 24% | 7% | 1% | |
| 83 | GUO Luke | 14% | 39% | 34% | 12% | 2% | - | |
| 84 | MARTIN zachary | 13% | 35% | 34% | 15% | 3% | - | |
| 85 | COLE Perrin | 9% | 31% | 36% | 19% | 5% | - | |
| 86 | RONG Marcus | 14% | 36% | 33% | 14% | 3% | - | |
| 87 | MENG Haoyi | 9% | 31% | 37% | 18% | 4% | - | - |
| 88 | HAMILTON Travis | 2% | 13% | 30% | 32% | 18% | 5% | 1% |
| 89 | NUGENT Curtis | 11% | 38% | 35% | 13% | 2% | - | - |
| 90 | YU Nathan | 47% | 39% | 12% | 2% | - | - | - |
| 91 | SMITH Mason | 66% | 29% | 5% | - | - | - | - |
| 92 | MARTIN Lucas | 21% | 42% | 28% | 8% | 1% | - | - |
| 93 | TAMAYO-SARVER Daniel | 39% | 40% | 16% | 3% | - | - | - |
| 94 | MILLER Xavier | 46% | 40% | 12% | 2% | - | - | - |
| 95 | LI Sean | 32% | 42% | 21% | 5% | 1% | - | |
| 96 | SCHWARTZMAN Ethan | 16% | 36% | 32% | 14% | 3% | - | - |
| 97 | DENG Andes | 54% | 36% | 9% | 1% | - | - | - |
| 98 | QIAN Zhixu | 56% | 34% | 8% | 1% | - | - | - |
| 99 | NIE Shuobo | 39% | 42% | 16% | 3% | - | - | - |
| 100 | DOSHAY Noah | 7% | 35% | 39% | 16% | 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.