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 | NICOLETTI Luca | - | - | 1% | 8% | 29% | 42% | 21% |
| 2 | ZHANG Aaron | - | - | - | 1% | 9% | 36% | 54% |
| 3 | LO Preston | - | - | 5% | 23% | 43% | 29% | |
| 3 | CHOI Ethan | - | - | - | - | 1% | 16% | 83% |
| 5 | SOTO-ULEV Aden A. | - | - | 2% | 12% | 40% | 46% | |
| 6 | DERRICK Blake | - | 4% | 22% | 40% | 27% | 6% | |
| 7 | RASMUSSEN Sage | - | - | 1% | 10% | 31% | 42% | 15% |
| 8 | LING Eddie | - | 1% | 9% | 29% | 40% | 21% | |
| 9 | FUKUDA Diego | - | - | - | 2% | 13% | 42% | 43% |
| 10 | MORROW Brenden | - | - | 1% | 7% | 28% | 44% | 20% |
| 11 | NGUYEN Martin | 1% | 9% | 28% | 36% | 21% | 4% | |
| 12 | PARK Sangmin | - | - | 2% | 15% | 42% | 41% | |
| 13 | CORTRIGHT Skipper | - | - | - | 3% | 19% | 44% | 33% |
| 14 | KUNTSEVICH Ivan I. | - | - | 1% | 8% | 30% | 42% | 19% |
| 15 | LE Jacob | 1% | 13% | 37% | 35% | 13% | 2% | |
| 16 | UPENDER West | 24% | 45% | 25% | 6% | 1% | - | |
| 17 | KAWADA Sebastien | - | 1% | 6% | 22% | 38% | 28% | 5% |
| 18 | MANIKTALA Suvir | - | 8% | 30% | 40% | 19% | 3% | |
| 19 | LI Richard | - | 3% | 14% | 32% | 35% | 15% | 1% |
| 20 | TSAY Jordan R. | - | 1% | 9% | 32% | 38% | 18% | 3% |
| 21 | GORDON William L. | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 22 | BIELER Mason | 1% | 9% | 27% | 37% | 21% | 5% | - |
| 23 | CHOI Ethan | 2% | 21% | 40% | 28% | 8% | 1% | |
| 24 | YI William | 2% | 15% | 33% | 32% | 14% | 2% | |
| 25 | BORG Matthew | - | 5% | 23% | 39% | 26% | 6% | |
| 26 | HIRAMOTO Satoshi | - | 3% | 16% | 34% | 33% | 12% | 1% |
| 27 | DENG David | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 28 | LING Carson Jr | - | 1% | 8% | 28% | 38% | 21% | 4% |
| 29 | YANG Charles | - | 2% | 12% | 35% | 38% | 13% | |
| 30 | UHLIG Cole | - | 2% | 16% | 38% | 35% | 9% | |
| 31 | TAN Pyron | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 32 | KIM Daniel Y. | - | 6% | 26% | 40% | 23% | 4% | |
| 33 | WU Alber Y. | - | 2% | 10% | 29% | 39% | 20% | |
| 34 | BURRES kenneth | 1% | 11% | 31% | 37% | 17% | 2% | |
| 35 | RODRIGUEZ Tyler | - | 1% | 9% | 28% | 39% | 19% | 3% |
| 36 | MORROW Sean | - | 2% | 13% | 35% | 39% | 12% | |
| 37 | PARK Rion | 2% | 20% | 40% | 29% | 8% | 1% | |
| 38 | HE Bourne | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 39 | ZHANG Graham | - | 2% | 13% | 33% | 36% | 15% | 1% |
| 40 | KAUSHISH Rayirth | 4% | 21% | 38% | 27% | 8% | 1% | - |
| 41 | SHEN Oliver | 1% | 7% | 24% | 37% | 25% | 6% | |
| 42 | HOM Logan | 4% | 22% | 39% | 26% | 7% | 1% | |
| 43 | PARK David | - | 9% | 31% | 38% | 19% | 3% | |
| 44 | YUE Jackson | - | 4% | 18% | 34% | 31% | 12% | 1% |
| 45 | FUKUDA Brando | 2% | 16% | 34% | 32% | 14% | 3% | - |
| 46 | PARK Roy | 40% | 43% | 15% | 2% | - | - | - |
| 47 | PARK William | 4% | 22% | 38% | 27% | 8% | 1% | - |
| 48 | JEONG Taewoo | 14% | 36% | 33% | 14% | 2% | - | - |
| 49 | LIANG Ethan | 34% | 43% | 19% | 4% | - | - | |
| 50 | CHANG Eric Jonathan | 5% | 23% | 37% | 26% | 8% | 1% | |
| 51 | FOY Grant | 73% | 24% | 3% | - | - | - | |
| 52 | YU ShiLin H. | 11% | 33% | 35% | 16% | 3% | - | - |
| 53 | YU ShiYu H. | 3% | 20% | 38% | 29% | 9% | 1% | - |
| 54 | WU Thomas | 6% | 29% | 43% | 18% | 3% | - | - |
| 55 | ZHONG Maxwell | 20% | 39% | 29% | 10% | 2% | - | - |
| 56 | KARPMAN Benny | 14% | 37% | 33% | 14% | 2% | - | - |
| 57 | CHANG Jeremy | 3% | 25% | 42% | 25% | 6% | - | |
| 58 | HE Ian | 34% | 46% | 18% | 3% | - | - | |
| 58 | LIM Zachary | 72% | 25% | 3% | - | - | - | |
| 60 | CHEN Matthew | 38% | 42% | 17% | 3% | - | - | - |
| 61 | SISINNI Leonardo | 34% | 42% | 20% | 4% | - | - | |
| 62 | ZHANG Max | 10% | 33% | 36% | 17% | 3% | - | - |
| 63 | HUANG Nathan | 11% | 36% | 36% | 15% | 2% | - | |
| 64 | ZHANG Jacob | 14% | 43% | 33% | 9% | 1% | - | - |
| 65 | METIN Atlas | 42% | 40% | 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.