Jump Beyond Sports - Torrance, 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 | MURUHIN Yaroslav | - | - | - | 1% | 9% | 36% | 54% |
| 2 | SIU Aiden | - | - | 1% | 15% | 48% | 36% | |
| 3 | SADOVSKY Leor B. | - | - | 1% | 7% | 26% | 43% | 23% |
| 3 | VARGAS Bryan | - | - | 2% | 11% | 33% | 40% | 14% |
| 5 | JAIN Aditya | - | - | - | 2% | 13% | 38% | 46% |
| 6 | WOO Christian | - | - | 2% | 14% | 41% | 42% | |
| 7 | TSAY Jeremy M. | - | - | - | 4% | 19% | 43% | 35% |
| 8 | GOBBO Alexander | - | - | 1% | 8% | 28% | 42% | 21% |
| 9 | COELHO Cristiano P. | - | 1% | 9% | 38% | 53% | ||
| 10 | SUNG Chang-Han S. | - | - | - | 4% | 18% | 42% | 36% |
| 11 | KIM Derek A. | - | 1% | 6% | 24% | 38% | 26% | 6% |
| 12 | DETERING Julian | - | 1% | 11% | 31% | 39% | 18% | |
| 13 | WYMAN Julian | - | - | 2% | 18% | 49% | 31% | |
| 14 | MYERS Dean | 1% | 19% | 40% | 30% | 9% | 1% | |
| 15 | RYOU Aiden | - | 6% | 25% | 38% | 25% | 6% | |
| 16 | CHOI Ethan | - | 3% | 19% | 40% | 31% | 6% | |
| 17 | AIKEN Nicholas A. | - | 3% | 14% | 34% | 34% | 14% | 1% |
| 18 | KIM Aiden | 1% | 14% | 39% | 34% | 11% | 1% | |
| 19 | CORTRIGHT Joshua C. | - | 5% | 23% | 38% | 27% | 7% | |
| 20 | RENTERIA Emiliano | - | 2% | 16% | 35% | 32% | 13% | 2% |
| 21 | MO Jason | - | 3% | 19% | 37% | 30% | 10% | 1% |
| 22 | PIESNER Zachary C. | - | 1% | 5% | 21% | 39% | 29% | 5% |
| 22 | LLIDO Soren | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 24 | LI Ryan Z. | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 25 | LEUNG Chu Ming Aiden | - | 4% | 20% | 39% | 30% | 7% | |
| 26 | NAYGAS LAWRENCE I. | - | - | 1% | 10% | 38% | 50% | |
| 27 | MORROW Brenden | - | 5% | 26% | 41% | 24% | 3% | |
| 28 | WU Lucas | 4% | 19% | 33% | 28% | 13% | 3% | - |
| 29 | OH Jaden | 1% | 9% | 28% | 36% | 21% | 5% | - |
| 30 | WANG Ethan | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 31 | NICOLETTI Luca | - | 3% | 19% | 38% | 30% | 9% | 1% |
| 32 | LE Jacob W. | 1% | 16% | 44% | 33% | 6% | ||
| 33 | DINSAY Kristjan | - | 4% | 28% | 47% | 19% | 2% | |
| 34 | NGUYEN Martin | - | 2% | 13% | 33% | 36% | 15% | 2% |
| 35 | HOSKERI Anik S. | 1% | 13% | 40% | 38% | 8% | ||
| 36 | ANDERSON Jacob | - | 4% | 23% | 39% | 26% | 7% | 1% |
| 37 | RASMUSSEN Sage | 5% | 42% | 40% | 12% | 1% | ||
| 38 | ZHANG Aaron | - | 3% | 18% | 37% | 31% | 10% | 1% |
| 38 | YEE Johnathan | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 40 | SMITH Grant D. | 3% | 34% | 41% | 18% | 3% | - | |
| 41 | SISINNI Riccardo | - | 5% | 25% | 40% | 25% | 4% | |
| 42 | BOUCHARD Kai | 5% | 58% | 31% | 5% | - | - | |
| 43 | PARK Ryan | 15% | 38% | 33% | 12% | 2% | - | - |
| 44 | FANG Jaden | 3% | 23% | 38% | 27% | 9% | 1% | - |
| 45 | FUKUDA Diego | - | 2% | 15% | 34% | 33% | 14% | 2% |
| 46 | ZHENG zhe | 1% | 8% | 28% | 37% | 22% | 5% | |
| 47 | RYOU Andy | - | 12% | 47% | 34% | 7% | - | |
| 48 | LI Jett | 5% | 28% | 39% | 22% | 6% | 1% | |
| 49 | LEE Dylan | 2% | 25% | 41% | 25% | 6% | - | |
| 50 | SCHIENEMAN Valentine | 57% | 34% | 8% | 1% | - | - | |
| 51 | WU Alber Y. | 2% | 12% | 28% | 33% | 20% | 6% | - |
| 52 | NGUYEN Liam | 1% | 11% | 30% | 35% | 18% | 4% | - |
| 53 | GREENEBAUM Oliver | 62% | 31% | 6% | 1% | - | - | - |
| 54 | LU Ruofei | 63% | 31% | 6% | 1% | - | - | - |
| 55 | HUANG Alston | 17% | 39% | 31% | 11% | 2% | - | - |
| 56 | AGRAWAL Niki | 20% | 49% | 25% | 5% | 1% | - | - |
| 57 | POUND Michael | 76% | 22% | 2% | - | - | ||
| 58 | ALBINALI Eissa | 88% | 11% | - | - | - | - | |
| 59 | BUTLER Owen | 9% | 60% | 26% | 4% | - | - | - |
| 60 | DALVA Michael | 77% | 21% | 2% | - | - | - | |
| 60 | PORTER Rory | 81% | 17% | 1% | - | - | - | |
| 62 | HAHN Jacob | 50% | 40% | 9% | 1% | - | - | - |
| 62 | YU Leo | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 64 | LIU William | 12% | 35% | 36% | 15% | 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.