ROCKLAND COMMUNITY COLLEGE - Suffern, NY, 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 | GULCHIN Mark (Yerma) | - | - | 5% | 23% | 44% | 28% | |
| 2 | LEE Eugene | - | - | 4% | 19% | 37% | 31% | 10% |
| 3 | CHENG Ethan | - | - | 1% | 13% | 43% | 43% | |
| 3 | TANG Terry | - | - | 1% | 7% | 28% | 43% | 21% |
| 5 | LEE Brendan | - | - | - | 3% | 16% | 42% | 39% |
| 6 | ZHAO Adam | - | - | 1% | 5% | 22% | 43% | 29% |
| 7 | GHEDINI Luca | - | - | - | 6% | 32% | 62% | |
| 8 | ZENG Rick | - | - | 7% | 25% | 37% | 25% | 6% |
| 9 | AKYAMAC Bora | - | - | 1% | 10% | 32% | 40% | 16% |
| 10 | CHEN Ethan | - | - | 3% | 17% | 36% | 33% | 11% |
| 11 | GERRISH William | - | - | 2% | 11% | 31% | 40% | 16% |
| 12 | UNGERER Roger M. | - | - | 4% | 21% | 45% | 30% | |
| 13 | HOU Gaven | 1% | 8% | 28% | 39% | 21% | 3% | |
| 14 | CHEN Hanson | - | - | 6% | 29% | 47% | 18% | |
| 15 | WANG Auther | - | 5% | 23% | 40% | 26% | 6% | |
| 16 | YANG Dylan | 4% | 23% | 37% | 26% | 8% | 1% | - |
| 17 | RUIZ ALMEIDA Muhammad | - | - | - | 3% | 18% | 43% | 36% |
| 18 | SRINIVASAN Vedant | - | - | 4% | 17% | 36% | 33% | 9% |
| 19 | SHANNON Jack | 1% | 9% | 28% | 37% | 21% | 4% | |
| 20 | CHENG Logan | 1% | 8% | 27% | 38% | 22% | 4% | |
| 21 | MARTIN Darius | - | - | 2% | 11% | 35% | 38% | 14% |
| 22 | SICAT Justin | 8% | 32% | 40% | 17% | 3% | - | - |
| 23 | MARTIN Mason | - | 4% | 17% | 33% | 31% | 12% | 2% |
| 24 | JIMENEZ Naveen | 1% | 10% | 30% | 36% | 19% | 4% | |
| 25 | WOODCOCK Henry | 1% | 8% | 28% | 38% | 21% | 4% | |
| 26 | POLEBOYINA Amrit | 13% | 39% | 34% | 12% | 2% | - | |
| 27 | MOREA Anderson | 11% | 37% | 36% | 13% | 2% | - | - |
| 28 | SION Andrew | 3% | 17% | 34% | 30% | 13% | 2% | - |
| 29 | ZHUANG Chuanxuan | - | 1% | 7% | 25% | 37% | 24% | 6% |
| 30 | TOOMRE Kai | - | 4% | 19% | 40% | 32% | 5% | |
| 31 | ZHAO Ryan | 4% | 23% | 37% | 26% | 8% | 1% | |
| 32 | TAM Kyle | 34% | 41% | 20% | 4% | 1% | - | - |
| 33 | JURMAN Therin | - | 2% | 12% | 31% | 38% | 17% | |
| 34 | HARRA Alexander | - | 2% | 12% | 32% | 36% | 16% | 2% |
| 35 | SUNDSTROM Wren | 36% | 43% | 18% | 3% | - | - | |
| 36 | BAI Austin | 3% | 25% | 44% | 24% | 4% | - | |
| 37 | SUN Ryan | - | - | 2% | 12% | 34% | 39% | 13% |
| 38 | HONG Logan | 1% | 8% | 25% | 35% | 23% | 6% | 1% |
| 39 | YAVENDITTI William | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 40 | PERLMAN Taiyo | - | 4% | 24% | 38% | 25% | 7% | 1% |
| 41 | CROWE Adam D. | 8% | 29% | 37% | 20% | 5% | 1% | - |
| 42 | WANG Luke | 19% | 41% | 30% | 9% | 1% | - | |
| 42 | CHEN kenneth | 10% | 43% | 36% | 10% | 1% | - | |
| 44 | MENDEZ Ren | 32% | 46% | 18% | 3% | - | - | |
| 44 | DIAZ Gabriel | 11% | 35% | 37% | 14% | 2% | - | |
| 46 | SURESH Rohan | - | 5% | 20% | 36% | 28% | 9% | 1% |
| 47 | DAO-CRESPO Joaquin | 44% | 47% | 8% | - | - | - | - |
| 48 | BAKSHI Aman | 10% | 33% | 36% | 17% | 3% | - | - |
| 49 | KO Caleb | 1% | 9% | 30% | 39% | 19% | 2% | |
| 50 | YANG Cooper | - | 5% | 25% | 44% | 23% | 4% | |
| 51 | XU Nathan | 3% | 21% | 40% | 28% | 7% | - | |
| 51 | GECKELER James | 2% | 16% | 37% | 32% | 12% | 2% | |
| 53 | ZHENG Christopher | 1% | 7% | 26% | 39% | 22% | 4% | |
| 54 | BAI Brian | 5% | 24% | 37% | 25% | 8% | 1% | - |
| 55 | ONIK Ari N. | 1% | 12% | 31% | 34% | 17% | 4% | - |
| 56 | TANG Royce | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 57 | KELSEY Simon | 2% | 21% | 42% | 28% | 6% | 1% | - |
| 58 | KRZYWON Dylan | 41% | 41% | 15% | 3% | - | - | - |
| 59 | REYES Yannik | 14% | 38% | 34% | 12% | 2% | - | - |
| 60 | SADYKOV Albert | 4% | 20% | 37% | 29% | 9% | 1% | |
| 61 | MOON Nicolas | 56% | 36% | 7% | 1% | - | - | |
| 61 | HWANG Jacob | 5% | 23% | 38% | 27% | 7% | - | |
| 63 | LIANG Haojia | 37% | 51% | 11% | 1% | - | - | - |
| 64 | COVELL Saunder | 42% | 40% | 15% | 3% | - | - | |
| 65 | CHANG Ian | 25% | 42% | 26% | 7% | 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.