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 | ZHENG Haoran | - | - | - | - | 5% | 32% | 62% |
| 2 | KIM Ian | - | - | 4% | 17% | 35% | 33% | 10% |
| 3 | KHANNA Nikhil | - | - | 1% | 13% | 43% | 42% | |
| 3 | SISINNI Riccardo | - | - | - | 1% | 7% | 34% | 58% |
| 5 | FU Leon | - | - | 1% | 10% | 29% | 41% | 19% |
| 6 | KNUDSEN Travis | - | - | 6% | 26% | 41% | 23% | 3% |
| 7 | LIU Yikun | - | 2% | 12% | 29% | 35% | 19% | 3% |
| 8 | JU Hanul | - | 5% | 21% | 38% | 28% | 7% | |
| 9 | CARRIER Gabriel A. | - | - | - | - | 4% | 29% | 67% |
| 10 | CHOI Kaiden I. | - | - | 4% | 22% | 44% | 30% | |
| 11 | VILLALOBOSKOWALSKI Demetrious C. | - | 1% | 10% | 30% | 39% | 19% | |
| 12 | ZHU Eric | - | 6% | 25% | 40% | 24% | 5% | |
| 13 | LO Jake | - | - | - | 1% | 7% | 34% | 59% |
| 14 | DAVOODIAN Christopher | - | - | 1% | 7% | 24% | 41% | 28% |
| 15 | MULCAHY Olaf | - | - | 4% | 21% | 43% | 31% | |
| 16 | LIU Zixian (Aaron) | - | - | 4% | 18% | 35% | 32% | 11% |
| 17 | KIM Sullivan | - | - | 1% | 5% | 22% | 42% | 30% |
| 18 | WANG zhixing (Daniel） | - | - | 4% | 19% | 40% | 32% | 5% |
| 19 | BUERGISSER Kai | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 20 | BAZHENOV Anthony | - | - | 3% | 19% | 40% | 31% | 7% |
| 21 | CHOI Zachary | - | 2% | 12% | 33% | 38% | 15% | |
| 22 | CHEN Bailey | - | 2% | 15% | 42% | 33% | 7% | |
| 23 | AVETISIAN Alexander | - | 1% | 9% | 30% | 39% | 18% | 2% |
| 24 | RICHARDS Jackson D. | - | - | 4% | 20% | 40% | 30% | 5% |
| 25 | KIM Teddy | 3% | 15% | 33% | 32% | 14% | 3% | - |
| 25 | TIEN Jabin | - | 6% | 22% | 36% | 27% | 9% | 1% |
| 27 | LEE Damien | - | 5% | 24% | 40% | 25% | 6% | - |
| 28 | KIM Nathan | - | - | - | 2% | 14% | 42% | 43% |
| 29 | WANG owen | - | 2% | 11% | 30% | 38% | 18% | |
| 30 | CHUNG Ethan Sheng Xuan | - | 5% | 23% | 40% | 26% | 6% | |
| 31 | DOWDELL Riley | - | 1% | 9% | 35% | 43% | 13% | |
| 32 | PAN Tristan | - | - | 3% | 23% | 42% | 27% | 5% |
| 33 | FANG Hanning | - | 1% | 9% | 30% | 40% | 19% | 2% |
| 34 | WANG Joey | - | 4% | 20% | 37% | 30% | 9% | |
| 35 | GAO Zachary | - | 1% | 9% | 29% | 41% | 20% | |
| 36 | LEE Inwoo | 2% | 13% | 31% | 34% | 17% | 3% | |
| 37 | RICHARD silas | - | 1% | 6% | 25% | 41% | 24% | 3% |
| 38 | PAK Elliot | - | - | 1% | 7% | 23% | 40% | 29% |
| 39 | LI Yunji (Rain) | 1% | 13% | 38% | 34% | 13% | 2% | - |
| 40 | LI Ethan R. | 1% | 11% | 31% | 34% | 18% | 4% | - |
| 41 | CHEN Zhengyang (Allen) | - | 2% | 15% | 37% | 34% | 11% | 1% |
| 42 | YU Austin | 1% | 6% | 22% | 36% | 27% | 8% | |
| 43 | ANDERSON Kai | 5% | 25% | 40% | 24% | 6% | - | |
| 44 | LEE Jake (JiYuen) | 1% | 9% | 29% | 37% | 20% | 4% | |
| 45 | KIM Jayden | - | 1% | 10% | 32% | 41% | 16% | |
| 46 | TONG Samuel | 1% | 12% | 34% | 36% | 15% | 2% | |
| 47 | MIAO KUNQI | - | 3% | 17% | 34% | 31% | 12% | 2% |
| 48 | CHENG Trevor | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 49 | LIU Yueri | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 50 | OBERDERFER Vladimir | - | - | 5% | 27% | 42% | 23% | 4% |
| 51 | SINHA Zaan | - | - | 3% | 18% | 40% | 34% | 6% |
| 52 | DONAHUE Lake | - | 2% | 12% | 29% | 35% | 19% | 4% |
| 53 | LIU Noah | - | 6% | 23% | 39% | 26% | 6% | - |
| 54 | FERRIERE Joshua | - | 6% | 25% | 37% | 25% | 7% | 1% |
| 55 | WU Steven | 12% | 40% | 34% | 12% | 2% | - | |
| 56 | SIM Ian | 19% | 42% | 29% | 8% | 1% | - | |
| 57 | WONG Ethan | 5% | 23% | 36% | 26% | 9% | 1% | |
| 58 | GOROZA Eric | 6% | 39% | 41% | 12% | 1% | - | |
| 59 | ZHOU Hao Kai (Kevin) | - | 1% | 9% | 27% | 39% | 21% | 3% |
| 60 | LI zerong | 1% | 12% | 36% | 36% | 14% | 2% | - |
| 61 | HSU Joshua | 4% | 21% | 35% | 27% | 10% | 2% | - |
| 62 | SCHROEDER Dylan | - | 2% | 13% | 35% | 37% | 12% | |
| 63 | AGGELER Donovan | - | 5% | 21% | 38% | 28% | 7% | |
| 64 | KIM Remington | 34% | 44% | 19% | 3% | - | - | |
| 65 | SHOUSHA Yassin | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 66 | PUTTAMRAJU Nikhil | 14% | 43% | 36% | 7% | 1% | - | - |
| 67 | WANG aaron | 10% | 35% | 37% | 16% | 3% | - | - |
| 68 | TIAN choyu | - | 1% | 11% | 32% | 38% | 16% | 2% |
| 69 | GUO Woody | 17% | 38% | 31% | 12% | 2% | - | - |
| 70 | WU Johnny y. | 24% | 47% | 24% | 5% | - | - | |
| 71 | KIM Alexander | 23% | 40% | 27% | 9% | 1% | - | |
| 72 | DACHELET Sawyer | 7% | 28% | 39% | 21% | 5% | - | - |
| 72 | WONG Preston | 15% | 43% | 34% | 7% | 1% | - | - |
| 74 | TUSANTOSO McKenzie | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
| 75 | YOUNG Quentin | 42% | 41% | 14% | 2% | - | - | - |
| 76 | THOMAS Michael | 2% | 17% | 35% | 31% | 13% | 3% | - |
| 77 | MAXU Tiger | 4% | 31% | 44% | 18% | 3% | - | |
| 78 | WONG Baron | 3% | 18% | 38% | 30% | 10% | 1% | |
| 79 | MORIN-JIANG Jake | 3% | 18% | 34% | 30% | 13% | 2% | |
| 80 | LUNDE drew | 27% | 44% | 24% | 6% | 1% | - | |
| 81 | WU Alistair | 1% | 6% | 21% | 34% | 27% | 9% | 1% |
| 82 | XU Wangzitai | 54% | 37% | 8% | 1% | - | - | - |
| 83 | MILEY Walker | 26% | 43% | 24% | 6% | 1% | - | - |
| 83 | SHEN Jiayi | 22% | 42% | 28% | 7% | 1% | - | - |
| 85 | HIGGINS Calvin | 14% | 35% | 33% | 15% | 3% | - | - |
| 86 | MARTIN IV Elmer D. | 1% | 5% | 20% | 34% | 28% | 11% | 2% |
| 87 | LEE Royce | 22% | 43% | 26% | 7% | 1% | - | - |
| 88 | GADHVI Darius | 36% | 46% | 17% | 2% | - | - | - |
| 89 | ZHANG Joshua | 54% | 37% | 8% | 1% | - | - | - |
| 90 | ITO WILSON Miles | 5% | 24% | 36% | 25% | 9% | 1% | - |
| 91 | REID Wesley | 30% | 45% | 21% | 4% | - | - | - |
| 92 | SCHERZAY Ian | 34% | 45% | 18% | 3% | - | - | |
| 93 | LAU Alex | 13% | 49% | 30% | 7% | 1% | - | - |
| 94 | ZHAO Colin | 14% | 47% | 31% | 8% | 1% | - | - |
| 95 | LIN Jason | 43% | 41% | 14% | 2% | - | - | |
| 96 | HAN Wyatt | 15% | 41% | 33% | 10% | 1% | - | |
| 97 | PALMARES Xavier | 5% | 26% | 41% | 25% | 3% | - | - |
| 98 | FU Adrian | 18% | 41% | 31% | 9% | 1% | - | - |
| 99 | LEE Damon | 66% | 30% | 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.