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 | BYON Adrian | - | 1% | 11% | 39% | 41% | 8% | |
| 2 | WANG Nicolas | - | - | 3% | 21% | 46% | 30% | |
| 3 | RAJA Arnav | - | - | - | 4% | 30% | 65% | |
| 3 | AVAKIAN Alec | - | - | - | 3% | 16% | 42% | 39% |
| 5 | LOPEZ Lucas M. | - | 1% | 12% | 34% | 38% | 15% | |
| 5 | KUMAR Sachit | - | 1% | 7% | 28% | 44% | 20% | |
| 7 | KIM ELIJAH | - | 1% | 5% | 22% | 39% | 27% | 6% |
| 8 | LIN Daniel | - | - | 2% | 12% | 39% | 47% | |
| 9 | LESUEUR Luke J. | - | 2% | 19% | 46% | 29% | 4% | |
| 10 | GIANETTO Ethan K. | - | 5% | 21% | 39% | 29% | 6% | |
| 10 | YANG Dylan | - | 1% | 10% | 29% | 39% | 20% | |
| 12 | KROON Lucas | - | - | 3% | 14% | 32% | 36% | 15% |
| 13 | BYON Julian | - | - | 4% | 20% | 39% | 30% | 7% |
| 14 | TAO Jeffrey | - | - | 1% | 5% | 20% | 41% | 34% |
| 15 | LI Yiwei | - | - | 5% | 25% | 45% | 24% | |
| 16 | RAMTEKKAR Soham | - | 5% | 22% | 38% | 27% | 8% | 1% |
| 17 | JOO Jeein | - | - | 1% | 9% | 38% | 43% | 9% |
| 18 | RAMANAN Jaisimh | - | - | 2% | 12% | 31% | 38% | 17% |
| 19 | BARRETO Elliott | - | - | - | - | 5% | 33% | 61% |
| 20 | YAN Kevin | - | 3% | 13% | 30% | 33% | 18% | 3% |
| 21 | COOK Cole | - | 1% | 11% | 32% | 39% | 16% | |
| 22 | NIETO Titus P. | 1% | 9% | 34% | 39% | 15% | 2% | |
| 23 | YAP Kah Kai (Cayden) | 4% | 23% | 37% | 26% | 8% | 1% | |
| 24 | LI Yao (Liam) | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 25 | HWANG Jayden | 1% | 6% | 25% | 40% | 24% | 4% | |
| 26 | PATRICO Peter | 1% | 6% | 25% | 40% | 23% | 4% | |
| 27 | BRAKEY Ryan | 2% | 15% | 34% | 32% | 14% | 2% | |
| 28 | JOHNSON Kai | 46% | 40% | 12% | 2% | - | - | |
| 29 | BARRIOS Diego | 1% | 9% | 33% | 37% | 17% | 3% | |
| 30 | FOX Gavin | - | 5% | 20% | 34% | 28% | 10% | 1% |
| 31 | GONG zihao | 1% | 11% | 30% | 34% | 19% | 5% | - |
| 32 | LEE Noah | 1% | 8% | 25% | 37% | 24% | 6% | |
| 33 | HAO Anwen | - | - | 2% | 15% | 45% | 33% | 5% |
| 34 | WANG Zhuoyi | - | 3% | 14% | 30% | 33% | 16% | 3% |
| 35 | HERRERA aragon | 18% | 42% | 30% | 9% | 1% | - | |
| 36 | CHOI Benjamin | 19% | 49% | 27% | 5% | - | - | |
| 37 | HRISTOV Kris | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 37 | GONG ziqian | 2% | 14% | 31% | 32% | 17% | 4% | - |
| 39 | LI linze | 1% | 7% | 25% | 35% | 24% | 8% | 1% |
| 40 | GREMILLION Obadiah | 4% | 22% | 44% | 26% | 5% | - | - |
| 41 | SHIFTER Noah | 4% | 37% | 43% | 15% | 2% | - | |
| 42 | HO Aiden | - | 3% | 18% | 38% | 32% | 9% | |
| 43 | MIYASAKI-CASTRO Masanobu | - | - | 5% | 23% | 44% | 28% | |
| 44 | GILSHTEYN Jacob | 7% | 32% | 39% | 18% | 3% | - | |
| 45 | MUNGUIA Nathan | 1% | 8% | 25% | 37% | 24% | 6% | |
| 46 | ZHAO Zhiyu | 1% | 8% | 34% | 40% | 16% | 2% | |
| 47 | RICHARDS Corey | 1% | 9% | 33% | 41% | 14% | 2% | - |
| 48 | HO Anson | 3% | 21% | 39% | 27% | 8% | 1% | - |
| 49 | CHEN Lohen | 3% | 19% | 38% | 30% | 9% | 1% | |
| 50 | CHEN Jeremy | 10% | 43% | 34% | 11% | 1% | - | |
| 51 | DAWSON-TEECE Powell | 3% | 31% | 46% | 18% | 2% | - | |
| 52 | CENTENO Zachary | 10% | 38% | 36% | 14% | 2% | - | - |
| 53 | WANG Andrew | 44% | 41% | 13% | 2% | - | - | - |
| 54 | TUNG Ryan | 3% | 18% | 33% | 30% | 13% | 3% | - |
| 55 | SHAO Yue | 29% | 45% | 22% | 4% | - | - | - |
| 56 | CONTRACTOR Cyrus | 38% | 41% | 17% | 3% | - | - | |
| 57 | HOLZ Lucas | 5% | 29% | 41% | 20% | 4% | - | |
| 58 | POLEYUMPTEWA Connor | 28% | 43% | 23% | 5% | 1% | - | |
| 59 | WANG HongXi | 28% | 41% | 23% | 7% | 1% | - | - |
| 60 | ROSALES Vincent | 51% | 40% | 8% | 1% | - | - | |
| 60 | WONG Noah | 62% | 32% | 5% | - | - | - | |
| 62 | SILVA Joaquin | 76% | 22% | 2% | - | - | - | |
| 63 | CHAN Elliott | 27% | 48% | 22% | 3% | - | - | - |
| 64 | SMITH Aidan | 61% | 32% | 7% | 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.