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 | KHANNA Adamantis | - | - | - | - | 5% | 31% | 63% |
| 2 | YUEN Caleb | - | 1% | 9% | 25% | 35% | 24% | 6% |
| 3 | MIAO Heqi | - | 2% | 12% | 34% | 41% | 12% | |
| 3 | SONG Aidan | - | - | 2% | 10% | 29% | 39% | 20% |
| 5 | SLAVNOV Anton | - | 1% | 5% | 17% | 32% | 32% | 13% |
| 6 | LEVY Daniel | - | 3% | 16% | 32% | 31% | 15% | 3% |
| 7 | HENDERSON Louis | - | 1% | 6% | 20% | 35% | 29% | 10% |
| 8 | D'AMELJ Edoardo | - | 5% | 20% | 37% | 30% | 7% | |
| 9 | ISAYENKO Daniel | - | - | 1% | 12% | 40% | 47% | |
| 10 | LIANG Morgan | 2% | 13% | 32% | 34% | 16% | 3% | |
| 11 | BEAL Colton | - | - | 3% | 15% | 32% | 35% | 15% |
| 12 | CHAVAN Aditya | - | 4% | 17% | 34% | 30% | 12% | 2% |
| 13 | CHEN Leo | 2% | 13% | 29% | 33% | 18% | 5% | - |
| 14 | KOZLOV Lucas | - | - | 3% | 17% | 41% | 38% | |
| 15 | AGARWAAL Yohan | - | 2% | 12% | 31% | 38% | 16% | |
| 16 | PARK Sean | 9% | 31% | 36% | 19% | 4% | - | |
| 17 | LIU Jeremy | - | 2% | 11% | 31% | 38% | 18% | |
| 18 | KOREN David | 2% | 14% | 31% | 32% | 17% | 4% | - |
| 19 | LAU Kyrus | - | 1% | 5% | 18% | 34% | 31% | 10% |
| 20 | LIM JUWANA Maximilian | - | 1% | 5% | 22% | 43% | 30% | |
| 21 | AVERY Marcus | - | 3% | 16% | 35% | 34% | 11% | |
| 22 | CHANG Ethan | - | - | 3% | 17% | 39% | 36% | 5% |
| 23 | HAO Johnny | - | 5% | 22% | 37% | 28% | 7% | |
| 24 | MAKLIN David | 11% | 35% | 35% | 16% | 3% | - | |
| 25 | BRADY Jack | 4% | 19% | 36% | 30% | 10% | 1% | |
| 26 | KOREN George | - | 2% | 12% | 32% | 37% | 16% | |
| 27 | SHAPIRO Leo | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 28 | RINALDI Benigno | 2% | 13% | 33% | 34% | 15% | 3% | |
| 29 | LI kevin | 17% | 38% | 32% | 11% | 2% | - | |
| 30 | VIDREVICH David | 2% | 10% | 26% | 32% | 22% | 7% | 1% |
| 31 | TITOV Zachary | - | 6% | 22% | 34% | 26% | 10% | 1% |
| 32 | BADMUS David | 3% | 16% | 34% | 31% | 14% | 3% | - |
| 33 | YANG LOUIS | 3% | 16% | 30% | 30% | 16% | 4% | - |
| 34 | YI Andrew | - | - | 3% | 15% | 33% | 35% | 13% |
| 35 | WANG Harrison | 8% | 29% | 38% | 20% | 4% | - | - |
| 35 | ALUF Brendon | - | 5% | 19% | 34% | 29% | 11% | 2% |
| 37 | CHEN Brian | 4% | 21% | 37% | 28% | 9% | 1% | |
| 38 | ZALETAEV Jacob | 3% | 16% | 35% | 32% | 13% | 2% | |
| 39 | ARTETA-CHEVALIER Ulysse | - | 5% | 18% | 32% | 30% | 13% | 2% |
| 40 | LEIGH Brayden | 2% | 14% | 32% | 33% | 15% | 3% | - |
| 41 | SUN Stephen | 1% | 5% | 21% | 37% | 28% | 8% | - |
| 42 | HU Simon | - | 5% | 21% | 37% | 29% | 8% | |
| 43 | MOTOV Max | 3% | 19% | 37% | 30% | 9% | 1% | |
| 44 | DAI Ethan | 30% | 43% | 22% | 5% | - | - | |
| 45 | LI Lucas | 13% | 38% | 33% | 13% | 2% | - | - |
| 46 | BURENKOV Matthew | 4% | 25% | 37% | 25% | 8% | 1% | - |
| 47 | IP Hunter | - | 2% | 11% | 28% | 35% | 21% | 5% |
| 48 | ZHANG Weihang | 11% | 33% | 35% | 17% | 4% | - | |
| 49 | LAN Jasper | 23% | 41% | 27% | 8% | 1% | - | |
| 50 | LEE Aiden | 18% | 40% | 30% | 10% | 1% | - | |
| 51 | KELLY Collin | 1% | 11% | 30% | 36% | 19% | 3% | |
| 51 | ROSE Parker | 5% | 25% | 40% | 25% | 6% | - | |
| 53 | MAUREL Louis | 7% | 29% | 38% | 21% | 4% | - | |
| 54 | LEE Shane Gunn | 3% | 16% | 34% | 32% | 13% | 2% | |
| 55 | PARK Layne | 2% | 14% | 30% | 31% | 17% | 5% | 1% |
| 56 | LIU Caleb | 1% | 11% | 28% | 34% | 20% | 6% | 1% |
| 57 | WU Dylan | 21% | 39% | 29% | 10% | 2% | - | - |
| 58 | HUANG Lucas | 37% | 41% | 18% | 4% | - | - | - |
| 59 | MURDOCH Leo | 2% | 12% | 29% | 32% | 18% | 5% | 1% |
| 60 | REINHART Rowan | 1% | 15% | 33% | 32% | 15% | 3% | - |
| 61 | LI Jayden | 32% | 42% | 20% | 5% | - | - | |
| 62 | SABINO Bennett | 22% | 41% | 27% | 8% | 1% | - | |
| 63 | CHEN Tyler | 63% | 31% | 6% | 1% | - | - | - |
| 63 | CHEN Ethan | 21% | 39% | 28% | 10% | 2% | - | - |
| 65 | DALY Ryan | 1% | 14% | 42% | 32% | 9% | 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.