City Beach Fremont - Fremont, 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% | 7% | 33% | 59% |
| 2 | LO Preston | - | - | - | 1% | 12% | 40% | 47% |
| 3 | LING Eddie | - | - | - | 3% | 16% | 42% | 39% |
| 3 | NGUYEN Martin | - | - | - | 1% | 11% | 39% | 48% |
| 5 | DERRICK Blake | - | - | 2% | 11% | 30% | 38% | 18% |
| 5 | RASMUSSEN Sage | - | - | - | 2% | 15% | 42% | 41% |
| 7 | ZHOU Ryan | - | 3% | 14% | 34% | 35% | 13% | 1% |
| 8 | SOTO-ULEV Aden A. | - | - | - | - | 1% | 18% | 81% |
| 9 | WU Alber Y. | - | - | - | 1% | 10% | 39% | 51% |
| 10 | WONG Evan | - | - | 4% | 17% | 37% | 35% | 7% |
| 11 | RAUTUREAU Hugo | - | - | 3% | 16% | 36% | 35% | 10% |
| 12 | GORDON William L. | - | 6% | 29% | 39% | 21% | 4% | - |
| 13 | NGAI Julian | - | 1% | 6% | 25% | 40% | 24% | 4% |
| 14 | CHOI Ethan | - | 1% | 9% | 28% | 38% | 21% | 3% |
| 14 | DENG David | - | 4% | 19% | 36% | 30% | 10% | 1% |
| 16 | KIM Daniel Y. | - | 1% | 4% | 17% | 34% | 33% | 12% |
| 17 | ZHANG Aaron | - | - | - | - | 5% | 31% | 63% |
| 18 | HIRAMOTO Satoshi | - | 4% | 22% | 40% | 28% | 6% | - |
| 19 | TSAY Jordan R. | - | - | 3% | 14% | 34% | 37% | 12% |
| 20 | RAUTUREAU Arthur | 3% | 14% | 30% | 32% | 17% | 4% | - |
| 21 | PARK Rion | - | - | 5% | 21% | 41% | 31% | 2% |
| 22 | YANG Charles | - | - | 2% | 12% | 34% | 41% | 12% |
| 23 | SISINNI Leonardo | 4% | 24% | 41% | 24% | 6% | 1% | - |
| 24 | TULYAG Azim | - | 5% | 21% | 37% | 27% | 8% | 1% |
| 25 | HE Bourne | 3% | 19% | 38% | 29% | 10% | 1% | - |
| 26 | MANIKTALA Suvir | 3% | 16% | 32% | 31% | 15% | 4% | - |
| 27 | ZHANG Graham | 2% | 16% | 33% | 31% | 14% | 3% | - |
| 28 | SHEN Oliver | - | - | 3% | 18% | 39% | 32% | 7% |
| 29 | CHAN Joseph | 1% | 8% | 26% | 36% | 23% | 5% | - |
| 30 | PARK Steve (Sangmin) | - | 4% | 16% | 32% | 31% | 14% | 2% |
| 31 | RODRIGUEZ Tyler | - | - | 4% | 19% | 39% | 31% | 6% |
| 32 | PETROV Mikhail | 2% | 17% | 36% | 31% | 12% | 2% | - |
| 33 | UHLIG Cole | - | - | 6% | 25% | 40% | 24% | 4% |
| 34 | CHUN Dashel | 1% | 7% | 23% | 37% | 26% | 6% | - |
| 35 | WANG rainier | 2% | 13% | 31% | 34% | 17% | 3% | - |
| 36 | PARK William | - | 4% | 23% | 40% | 26% | 6% | - |
| 37 | KIM Charlie | 1% | 7% | 23% | 36% | 26% | 8% | 1% |
| 38 | CHANG Jonathan | - | 6% | 22% | 37% | 26% | 8% | 1% |
| 39 | WU Thomas | 5% | 26% | 39% | 23% | 6% | 1% | - |
| 40 | CHEN Owen | 3% | 19% | 36% | 30% | 11% | 2% | - |
| 41 | LIANG Ethan | 32% | 42% | 21% | 5% | - | - | - |
| 42 | ZHANG Jayden | - | 4% | 19% | 38% | 30% | 9% | 1% |
| 43 | HOM Logan | 33% | 42% | 20% | 4% | - | - | - |
| 44 | KIM Andrew | 24% | 41% | 26% | 8% | 1% | - | - |
| 45 | ZHANG Max | 13% | 34% | 34% | 15% | 3% | - | - |
| 46 | WANG Brian Z. | 2% | 13% | 32% | 33% | 16% | 3% | - |
| 47 | YOU Alan | 14% | 43% | 33% | 9% | 1% | - | - |
| 48 | DANIEL Nikith | 1% | 12% | 31% | 35% | 17% | 3% | - |
| 49 | LIM Zachary | 16% | 37% | 32% | 12% | 2% | - | - |
| 50 | LI Richard | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 51 | DEJOURNETT Jacob | 3% | 20% | 38% | 29% | 9% | 1% | - |
| 52 | ZHONG Maxwell | 27% | 53% | 17% | 2% | - | - | - |
| 53 | FU Bryan | 32% | 43% | 21% | 4% | - | - | - |
| 54 | JACQ Matisse | - | 4% | 17% | 34% | 31% | 12% | 1% |
| 55 | KREISHER Ilan | 37% | 43% | 17% | 3% | - | - | - |
| 56 | TOYOFUKU Ethan | 19% | 38% | 29% | 11% | 2% | - | - |
| 56 | TOYOFUKU Lucas | 44% | 40% | 14% | 2% | - | - | - |
| 58 | WILLEY Emerson | 5% | 22% | 36% | 27% | 9% | 1% | - |
| 59 | HE Ian | 11% | 36% | 36% | 14% | 3% | - | - |
| 59 | KIM Derek | 3% | 19% | 38% | 30% | 8% | 1% | - |
| 61 | ZHU Randy | 47% | 43% | 9% | 1% | - | - | - |
| 62 | MAO Runxian | 4% | 21% | 37% | 28% | 9% | 1% | - |
| 63 | MADHAVAN Vihaan | 2% | 31% | 41% | 21% | 5% | - | - |
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.