Intercontinental - Los Angeles Hotel - Los Angeles, 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 | ZHOU Ryan | - | - | - | 1% | 10% | 41% | 48% |
| 2 | LOZANO Veyron Jericho | - | - | - | 4% | 28% | 68% | |
| 3 | BIELER Mason | - | - | - | 2% | 14% | 40% | 44% |
| 3 | LEE Jaden | - | 1% | 5% | 23% | 44% | 27% | |
| 5 | CHONG Tristan | - | - | - | 1% | 7% | 35% | 57% |
| 6 | CHANG Jonathan | - | - | - | 1% | 10% | 38% | 50% |
| 7 | ZHANG Jacob | - | - | - | - | 2% | 25% | 73% |
| 8 | CHANG Eric Jonathan | - | - | 4% | 23% | 45% | 28% | |
| 9 | ONG Nicholas | - | - | - | 6% | 40% | 54% | |
| 10 | CHOI Ethan | - | - | 1% | 9% | 37% | 54% | |
| 11 | YU ShiYu (Henry) | - | - | 6% | 28% | 44% | 21% | |
| 12 | CHEN Fengyi(James) | - | - | 2% | 13% | 38% | 40% | 7% |
| 13 | PARK Andrew | - | - | 2% | 18% | 54% | 25% | |
| 14 | BHANOT Arjun | 8% | 31% | 38% | 19% | 4% | - | |
| 15 | YE Jerry | - | 1% | 9% | 30% | 42% | 17% | 1% |
| 16 | ZHOU Shawn | - | - | 1% | 7% | 29% | 46% | 17% |
| 17 | LEE Abin | - | - | 2% | 15% | 40% | 36% | 7% |
| 18 | PE Noah | - | - | 3% | 17% | 37% | 34% | 8% |
| 19 | DOUGLASS Liam | - | 4% | 21% | 40% | 29% | 5% | |
| 20 | WEI Winston | - | 4% | 18% | 36% | 31% | 10% | 1% |
| 21 | HUANG Nathan | - | 4% | 19% | 37% | 30% | 8% | 1% |
| 22 | JEON Joohun | - | 5% | 22% | 38% | 27% | 8% | 1% |
| 23 | WANG sicheng | - | 5% | 23% | 44% | 25% | 3% | |
| 24 | TSUI Raedyn Ho Hin | 1% | 8% | 30% | 40% | 20% | 2% | |
| 25 | GUO Austin | 5% | 23% | 38% | 26% | 7% | 1% | |
| 26 | WANG Waylon | - | - | 5% | 24% | 43% | 25% | 4% |
| 27 | HONG Edwin | - | 1% | 7% | 26% | 39% | 23% | 4% |
| 28 | LI Aaron | 1% | 12% | 36% | 36% | 14% | 2% | - |
| 29 | LI Lucas | - | 1% | 6% | 26% | 44% | 23% | |
| 30 | LEE Christopher | 1% | 7% | 27% | 39% | 22% | 4% | - |
| 31 | KARPMAN Benny | 8% | 38% | 37% | 14% | 2% | - | |
| 32 | LEE Mason | 3% | 18% | 37% | 31% | 10% | 1% | |
| 33 | LI Daniel | - | 2% | 13% | 40% | 38% | 6% | |
| 34 | CHEN Owen | 1% | 10% | 32% | 37% | 17% | 3% | - |
| 35 | FOY Grant | - | 1% | 7% | 25% | 39% | 25% | 5% |
| 36 | SHA Lambor（Laien) | 12% | 38% | 37% | 12% | 1% | - | |
| 37 | MAO Runxian | 1% | 13% | 41% | 34% | 10% | 1% | |
| 38 | MURDOCK Koichi | - | 6% | 27% | 38% | 22% | 5% | - |
| 39 | LO Ernest | - | 2% | 16% | 40% | 32% | 9% | 1% |
| 40 | YANG Aaron | 19% | 42% | 29% | 8% | 1% | - | - |
| 41 | CHEN kenneth | - | 3% | 20% | 42% | 28% | 6% | |
| 42 | CHEUNG Henry | 45% | 42% | 12% | 1% | - | - | |
| 43 | MA Justin | 16% | 41% | 33% | 9% | 1% | - | |
| 44 | XU Ethan | 1% | 12% | 35% | 36% | 14% | 1% | |
| 45 | TRAN Matthew | 1% | 9% | 32% | 39% | 17% | 2% | - |
| 46 | YUNG Brandon | 26% | 44% | 24% | 5% | 1% | - | - |
| 47 | NGUYEN Nolan | 23% | 44% | 27% | 5% | - | - | - |
| 48 | PARK Kaiden | 2% | 13% | 37% | 39% | 9% | 1% | |
| 49 | WONG Connor | 11% | 39% | 37% | 12% | 1% | - | |
| 50 | WARD MADS | 45% | 43% | 11% | 1% | - | - | |
| 51 | CHETWANI naman | 11% | 44% | 33% | 10% | 1% | - | - |
| 52 | ZHANG Jason | - | 3% | 18% | 38% | 31% | 9% | 1% |
| 53 | LITVACK Jackson | 16% | 42% | 33% | 8% | 1% | - | - |
| 54 | SHADRAVAN Arash | 21% | 48% | 26% | 5% | - | - | - |
| 55 | CABATO Luca | 30% | 45% | 21% | 4% | - | - | - |
| 56 | PARK Bryant | 16% | 41% | 33% | 9% | 1% | - | - |
| 57 | SHAW Eames | 37% | 44% | 16% | 3% | - | - | - |
| 58 | LEE Joshua | 28% | 42% | 23% | 6% | 1% | - | |
| 59 | TEJAKUSUMA Eric | 64% | 32% | 4% | - | - | - | - |
| 60 | ZHU Ming | 24% | 52% | 21% | 3% | - | - | |
| 61 | LEE Lucas | 3% | 17% | 35% | 31% | 13% | 2% | - |
| 62 | KOEHLER Marc | 57% | 35% | 7% | 1% | - | - | |
| 63 | LEE Colin | 22% | 43% | 28% | 6% | - | - | |
| 64 | JADIA Arnav | 23% | 45% | 25% | 6% | 1% | - | - |
| 65 | SAEDI Ronel | 6% | 31% | 42% | 18% | 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.