Golisano Training Center at Nazareth University - Rochester, NY, 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 | YI Andrew | - | - | - | 4% | 19% | 41% | 35% |
| 2 | ISAYENKO Daniel | - | - | - | 1% | 7% | 33% | 59% |
| 3 | KOREN George | - | - | 1% | 8% | 28% | 42% | 20% |
| 3 | HAHN EVER | - | - | 1% | 5% | 19% | 41% | 34% |
| 5 | KUANG Cyrus | 1% | 8% | 26% | 37% | 24% | 5% | |
| 6 | CHEN Leo | 3% | 22% | 42% | 28% | 5% | ||
| 7 | GILBERT Ari | - | 3% | 12% | 29% | 34% | 19% | 4% |
| 8 | ZHANG Weihang | 2% | 14% | 33% | 34% | 15% | 2% | |
| 9 | HENDERSON Louis | - | - | 1% | 5% | 20% | 41% | 33% |
| 10 | SHAPIRO Leo | - | - | 3% | 16% | 42% | 39% | |
| 11 | HUA George (Hanxun) | - | 1% | 7% | 24% | 39% | 26% | 4% |
| 12 | IP Hunter | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 13 | LEE Shane Gunn | - | 2% | 12% | 31% | 37% | 17% | 2% |
| 14 | LI Lucas | 2% | 12% | 32% | 36% | 16% | 2% | |
| 15 | SCHWARTZMAN Jakub | - | 4% | 18% | 37% | 32% | 8% | |
| 16 | LIM JUWANA Maximilian | - | 3% | 14% | 33% | 35% | 15% | |
| 17 | LEVY Daniel | - | - | 2% | 16% | 44% | 37% | |
| 19 | STYS Owen | - | 4% | 17% | 32% | 31% | 13% | 2% |
| 20 | TAK Kion | 2% | 14% | 31% | 32% | 17% | 4% | - |
| 21 | RISMAN Edward | 4% | 22% | 38% | 27% | 8% | 1% | |
| 22 | CHEN Brian | 2% | 16% | 38% | 33% | 10% | 1% | |
| 23 | LU Simon | 2% | 14% | 32% | 33% | 16% | 3% | |
| 24 | ZHANG Caleb | 2% | 13% | 31% | 34% | 17% | 3% | - |
| 25 | SUN Leonard | 1% | 8% | 25% | 34% | 24% | 7% | 1% |
| 26 | PETROSYAN Aleksander | 9% | 30% | 35% | 19% | 5% | 1% | - |
| 27 | MOTOV Max | 3% | 17% | 36% | 32% | 11% | 1% | |
| 28 | HU Simon | - | 1% | 6% | 23% | 42% | 28% | |
| 29 | ALUF William | - | 1% | 12% | 40% | 47% | ||
| 30 | SABINO Bennett | - | 3% | 16% | 32% | 32% | 14% | 2% |
| 31 | SUH Jordan | 1% | 8% | 23% | 34% | 25% | 8% | 1% |
| 32 | MAKLIN David | 16% | 42% | 32% | 9% | 1% | ||
| 33 | LIU Jeremy | - | 1% | 8% | 29% | 44% | 18% | |
| 34 | LU Hanwen | - | - | 1% | 5% | 23% | 44% | 28% |
| 35 | TERENTIEV Michael | 2% | 14% | 39% | 36% | 9% | ||
| 36 | LEE Aiden | 8% | 30% | 38% | 20% | 4% | - | |
| 37 | PARK Sean | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 39 | YE Ian | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
| 40 | TIAGI Ronald | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 41 | LIU Caleb | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 42 | MAUREL Louis | 16% | 36% | 32% | 13% | 3% | - | |
| 43 | HUANG KIMBALL | 31% | 45% | 20% | 4% | - | - | |
| 44 | LI Anton | 1% | 12% | 34% | 37% | 14% | 2% | |
| 45 | ATA Kevin | 1% | 8% | 26% | 36% | 23% | 6% | - |
| 46 | WONG Jacob | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 47 | LAN Jasper | 2% | 11% | 29% | 35% | 20% | 4% | - |
| 48 | PARK Layne | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 49 | TAK Sion | 11% | 33% | 35% | 17% | 4% | - | - |
| 50 | LI Jaylen William | - | 2% | 16% | 37% | 33% | 11% | |
| 51 | HUANG Lucas | 45% | 39% | 13% | 2% | - | - | |
| 52 | FERNAINE Thomas | 15% | 36% | 32% | 14% | 3% | - | - |
| 53 | ROSENBLATT Ezra | 17% | 39% | 31% | 11% | 2% | - | |
| 54 | LI Nathan | 3% | 17% | 36% | 31% | 11% | 1% | |
| 55 | LI Derek | 2% | 15% | 32% | 31% | 15% | 3% | - |
| 55 | WU Dylan | 12% | 34% | 34% | 16% | 3% | - | - |
| 57 | LI kevin | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 58 | FUNG Emerson | 12% | 34% | 35% | 16% | 3% | - | - |
| 59 | SOBOLEWSKI Isaac | 27% | 41% | 24% | 7% | 1% | - | - |
| 60 | ROBLES Rafael | 9% | 29% | 35% | 20% | 6% | 1% | - |
| 61 | KATZ Isaac | 20% | 39% | 29% | 10% | 2% | - | - |
| 62 | CHATTAWAY Nicholas | 35% | 41% | 19% | 5% | 1% | - | - |
| 63 | THOMAS Tre | 1% | 10% | 29% | 37% | 20% | 4% | |
| 64 | KWON Joon | 37% | 44% | 17% | 3% | - | ||
| 65 | GUO Aiden | 21% | 41% | 28% | 8% | 1% | - | |
| 66 | THEETHIRA Kevin-Cariappa | 20% | 44% | 28% | 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.