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 | GU Andrew | - | - | - | 3% | 18% | 42% | 36% | 
| 2 | HWANG Hagan | - | - | 1% | 5% | 22% | 42% | 31% | 
| 3 | LEE Nathan Uju | - | - | - | 7% | 40% | 52% | |
| 3 | GREENSTEIN Viktor | - | - | - | - | 2% | 21% | 77% | 
| 5 | OU Rigel | - | - | 1% | 6% | 24% | 42% | 26% | 
| 6 | SUN Eon | - | 3% | 15% | 33% | 33% | 14% | 2% | 
| 7 | SLOAN Ethan | - | 2% | 18% | 52% | 25% | 3% | |
| 8 | AN Chris | - | - | 5% | 24% | 42% | 26% | 2% | 
| 9 | YANG Jake | 1% | 9% | 28% | 38% | 21% | 4% | |
| 10 | FISCHER Noel | - | 2% | 14% | 36% | 36% | 11% | |
| 11 | WANG Ryan | - | 5% | 19% | 33% | 29% | 12% | 2% | 
| 12 | TENG Lucas | - | 1% | 9% | 25% | 36% | 23% | 5% | 
| 13 | CHEN Aaron | - | 1% | 10% | 31% | 40% | 17% | 1% | 
| 13 | FUGATE Logan | 4% | 22% | 37% | 27% | 9% | 1% | - | 
| 15 | LI Ryan | - | - | 3% | 24% | 52% | 21% | |
| 16 | KIM Leo | - | 9% | 28% | 35% | 20% | 6% | 1% | 
| 17 | CHAN Troy Devon | - | 1% | 8% | 29% | 42% | 21% | |
| 18 | WONG Ron | - | - | 4% | 19% | 43% | 35% | |
| 19 | KIM Suin | - | - | 3% | 16% | 42% | 39% | |
| 20 | LEE Winston | - | - | 4% | 16% | 33% | 34% | 13% | 
| 21 | SU Eric | - | 3% | 16% | 33% | 31% | 14% | 2% | 
| 22 | HAN Kyle | 1% | 13% | 33% | 33% | 16% | 4% | - | 
| 23 | WANG David | - | 1% | 12% | 34% | 38% | 14% | |
| 24 | LVOVSKIY Roman | - | 1% | 9% | 31% | 41% | 17% | |
| 25 | TONG Evan | 3% | 24% | 56% | 16% | 2% | - | |
| 26 | WARD Carter | 1% | 7% | 28% | 39% | 21% | 4% | |
| 27 | KIM Enoch | 1% | 10% | 31% | 37% | 18% | 3% | |
| 28 | LO Elroy | 2% | 16% | 34% | 31% | 14% | 3% | - | 
| 29 | CHEN Zhengming | - | 5% | 19% | 34% | 29% | 11% | 1% | 
| 30 | PI Edwin | - | 4% | 18% | 33% | 30% | 13% | 2% | 
| 31 | LEI Isaac | 2% | 15% | 36% | 33% | 12% | 1% | |
| 32 | HIROTA Jackson | 30% | 48% | 19% | 3% | - | - | |
| 33 | SAHA Aadi | 23% | 42% | 27% | 8% | 1% | - | |
| 35 | HORN Diodorus | 1% | 10% | 35% | 37% | 16% | 2% | - | 
| 36 | HUNG Jaden | 7% | 27% | 37% | 22% | 6% | 1% | - | 
| 37 | GUO Jonathan | - | 4% | 23% | 40% | 27% | 6% | |
| 38 | CHEUNG Evan | - | 3% | 19% | 39% | 31% | 9% | - | 
| 39 | YUEN Caleb | - | - | 4% | 17% | 34% | 32% | 12% | 
| 40 | YPHANTIDES Alexander | - | - | 2% | 12% | 33% | 38% | 14% | 
| 41 | WANG James | - | 2% | 11% | 29% | 35% | 18% | 3% | 
| 42 | HIROTA Mitchell | 44% | 41% | 13% | 2% | - | - | |
| 43 | DESAI Arthav | - | 5% | 21% | 35% | 28% | 9% | 1% | 
| 44 | LIU Baichen (Matthew) | - | 7% | 29% | 39% | 21% | 4% | |
| 45 | MOROAICA Seiku | - | 1% | 6% | 25% | 43% | 26% | |
| 46 | LEE Alexander | 6% | 27% | 38% | 22% | 6% | 1% | - | 
| 47 | XIE Justin | - | 5% | 22% | 38% | 26% | 7% | 1% | 
| 48 | JI Derek | - | 3% | 17% | 38% | 34% | 9% | |
| 49 | ADAMS Jordan | 10% | 33% | 36% | 17% | 4% | - | - | 
| 50 | SHI Jeremy | 23% | 42% | 27% | 7% | 1% | - | - | 
| 51 | QI Zach | 2% | 14% | 35% | 34% | 13% | 2% | |
| 52 | HSIEH Maxwell | 9% | 36% | 37% | 15% | 3% | - | |
| 53 | WU Kaiden | 16% | 40% | 32% | 10% | 1% | - | |
| 54 | XIN Ryan | 48% | 42% | 10% | 1% | - | - | |
| 55 | WU Allen | 44% | 40% | 13% | 2% | - | - | |
| 56 | FU BRANDEN | - | < 1% | 4% | 17% | 36% | 33% | 9% | 
| 57 | RAMOS Pious | 37% | 42% | 18% | 4% | - | - | - | 
| 58 | WONG Alexander | 2% | 18% | 35% | 30% | 12% | 2% | - | 
| 59 | LOVELL Jackson | 11% | 39% | 35% | 13% | 2% | - | |
| 60 | NG Jaden | 17% | 51% | 26% | 5% | - | - | - | 
| 61 | ZHAO Ivan | 65% | 29% | 5% | - | - | - | - | 
| 62 | AUSTIN John V. | 35% | 47% | 16% | 2% | - | - | |
| 63 | OH Caleb | 5% | 24% | 39% | 25% | 7% | 1% | |
| 64 | LAMORI Matt | 23% | 54% | 20% | 2% | - | - | |
| 65 | HELM Bijan | 60% | 32% | 7% | 1% | - | - | - | 
| 66 | JUNG Andres | 55% | 37% | 7% | - | - | - | - | 
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.