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 | ZEYU wu | - | - | - | - | 1% | 18% | 80% |
| 2 | LI Ryan | - | - | - | 4% | 18% | 42% | 36% |
| 3 | GREENSTEIN Viktor | - | - | - | - | 2% | 20% | 78% |
| 3 | CHAN Troy Devon | 1% | 8% | 26% | 37% | 24% | 5% | |
| 5 | GU Andrew | - | - | 1% | 5% | 23% | 44% | 28% |
| 6 | HAO Johnny | - | - | - | 2% | 14% | 41% | 43% |
| 7 | YUEN Caleb | - | - | 1% | 6% | 23% | 41% | 29% |
| 8 | RAZAI Evan | - | - | 3% | 15% | 33% | 35% | 13% |
| 9 | KIM Suin | - | - | 4% | 20% | 44% | 31% | |
| 10 | QI Jeremy | - | 2% | 13% | 34% | 37% | 14% | |
| 11 | FISCHER Noel | - | - | 5% | 21% | 42% | 30% | 3% |
| 12 | WANG David | - | 1% | 9% | 28% | 41% | 21% | |
| 13 | HAN Kyle | - | 5% | 24% | 41% | 25% | 5% | |
| 14 | LIN Ethan | - | 1% | 8% | 26% | 39% | 24% | 2% |
| 15 | CHOI LIAM | - | - | 2% | 13% | 34% | 39% | 12% |
| 16 | DING Orlando | - | 5% | 20% | 36% | 29% | 9% | - |
| 17 | FU BRANDEN | - | 1% | 6% | 24% | 41% | 28% | |
| 18 | JI Derek | 1% | 6% | 20% | 33% | 27% | 10% | 1% |
| 19 | KIM Leo | - | 5% | 20% | 36% | 28% | 9% | 1% |
| 20 | DESAI Arthav | - | 1% | 6% | 22% | 37% | 28% | 7% |
| 21 | WANG Darren | - | 5% | 20% | 36% | 29% | 9% | - |
| 22 | LEE Bill King | - | 5% | 21% | 36% | 27% | 9% | 1% |
| 23 | CHEUNG Evan | 1% | 10% | 26% | 34% | 22% | 7% | 1% |
| 24 | TABANCAY Cole | - | 3% | 16% | 34% | 32% | 13% | 2% |
| 25 | CHEN Aaron | - | 1% | 10% | 32% | 41% | 16% | |
| 26 | LI Jason | 1% | 16% | 38% | 32% | 12% | 2% | |
| 27 | LO Lei | 2% | 13% | 32% | 34% | 16% | 3% | |
| 28 | SU Eric | - | 3% | 15% | 34% | 35% | 13% | |
| 29 | LVOVSKIY Roman | - | 3% | 17% | 37% | 33% | 11% | |
| 30 | PARK Jayden | - | 1% | 7% | 21% | 35% | 28% | 8% |
| 31 | EKAMBARAM Rithik | 4% | 23% | 37% | 26% | 8% | 1% | |
| 32 | HSIEH Maxwell | 6% | 25% | 38% | 25% | 6% | 1% | - |
| 33 | CHUNG Evan | - | 1% | 6% | 25% | 43% | 24% | 2% |
| 34 | ADAMS Jordan | 1% | 9% | 27% | 36% | 21% | 5% | - |
| 35 | DENG Aurik | 5% | 25% | 38% | 24% | 7% | 1% | |
| 36 | WONG Alexander | 1% | 11% | 30% | 36% | 19% | 4% | |
| 37 | WANG Henrik | - | 6% | 22% | 36% | 26% | 8% | 1% |
| 38 | DENG Richard | - | 1% | 8% | 27% | 38% | 22% | 4% |
| 39 | ZHU yinxi | 8% | 28% | 37% | 22% | 5% | - | - |
| 40 | KIM Derek | 5% | 24% | 37% | 25% | 8% | 1% | |
| 41 | YE Aaron | - | 2% | 14% | 35% | 36% | 13% | |
| 42 | CHEN Donovan | 7% | 30% | 40% | 19% | 4% | - | |
| 43 | QI Zach | 2% | 12% | 31% | 35% | 17% | 3% | |
| 44 | ZHANG Connery | 2% | 16% | 36% | 31% | 12% | 2% | - |
| 45 | IRVINE Cooper | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 46 | SAHA Aadi | 9% | 31% | 36% | 19% | 4% | - | - |
| 47 | JASPERSON Nolan | 11% | 36% | 35% | 15% | 3% | - | - |
| 48 | LAM Ethan | 7% | 25% | 34% | 23% | 8% | 1% | - |
| 49 | LOVELL Jackson | 40% | 42% | 15% | 3% | - | - | - |
| 50 | YUAN Alan | 1% | 12% | 32% | 34% | 17% | 3% | - |
| 51 | DUBIN Jake | 22% | 43% | 27% | 8% | 1% | - | - |
| 52 | LIU Clarence | 1% | 24% | 42% | 26% | 7% | 1% | |
| 53 | HIROTA Mitchell | 85% | 14% | 1% | - | - | - | |
| 54 | XU Logan | 39% | 42% | 16% | 3% | - | - | |
| 55 | HATAMI Arshia | 10% | 31% | 36% | 19% | 4% | - | - |
| 55 | LEI Isaac | 1% | 8% | 28% | 37% | 21% | 5% | - |
| 57 | LAD Anish | 28% | 42% | 24% | 6% | 1% | - | - |
| 58 | HIROTA Jackson | 31% | 42% | 22% | 5% | 1% | - | |
| 59 | NG Jaden | 23% | 43% | 26% | 7% | 1% | - | - |
| 60 | SAHA Aryan | 38% | 41% | 17% | 3% | - | - | |
| 61 | WU Kaiden | 10% | 34% | 36% | 17% | 4% | - | - |
| 62 | PHAN Ethan | 11% | 32% | 35% | 18% | 4% | 1% | - |
| 63 | SUN alan | 13% | 35% | 35% | 15% | 3% | - | - |
| 64 | XIN Ryan | 40% | 42% | 15% | 3% | - | - | - |
| 65 | SHI Jeremy | 8% | 34% | 39% | 17% | 3% | - | |
| 66 | CHAN Ethan | 4% | 21% | 37% | 27% | 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.