SportsPlex at Metuchen - Metuchen, NJ, 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 | BIERNACKI Maciej L. | - | - | - | 1% | 7% | 33% | 59% |
| 2 | HONG Vincent Q. | - | - | 3% | 13% | 31% | 36% | 17% |
| 3 | HUANG Ethan F. | - | - | 4% | 16% | 33% | 33% | 13% |
| 3 | MARGULIES William | 1% | 10% | 29% | 37% | 19% | 3% | |
| 5 | BABAYEV Gabriel A. | - | - | 2% | 12% | 30% | 38% | 18% |
| 6 | MICHELL Bailey | - | - | 1% | 8% | 25% | 41% | 25% |
| 7 | NOBLE Colin | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 8 | KIM-COGAN Ryan | - | - | 2% | 10% | 30% | 40% | 19% |
| 9 | WILSON Jude | - | - | 2% | 10% | 28% | 39% | 21% |
| 10 | KIM Matthew | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 11 | CHOI Silas | - | 1% | 7% | 23% | 36% | 26% | 6% |
| 12 | BAE Jason I. | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 13 | ZHOU Miles | - | 3% | 15% | 34% | 33% | 13% | 1% |
| 14 | WANG Robert | 1% | 7% | 24% | 35% | 25% | 8% | 1% |
| 15 | GLOZMAN Justin | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 16 | COLE Alexander | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 17 | WONG Ryan | - | 1% | 9% | 28% | 38% | 21% | 3% |
| 18 | WOODWARD Dylan P. | - | - | 4% | 16% | 34% | 34% | 12% |
| 19 | HOLMES Aiden G. | - | 1% | 5% | 19% | 36% | 31% | 9% |
| 20 | STONE Esmond A. | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 21 | MICLAUS Justin | - | 3% | 15% | 30% | 32% | 16% | 3% |
| 22 | ELIN Adam E. | 4% | 21% | 37% | 28% | 10% | 1% | |
| 23 | MORALES Jonathan | 3% | 16% | 32% | 30% | 15% | 3% | - |
| 24 | GETS Matthew D. | - | - | 3% | 14% | 32% | 36% | 15% |
| 24 | DENG Andrew | - | 2% | 10% | 26% | 35% | 23% | 5% |
| 26 | MCCARTHY Gabriel | 1% | 7% | 24% | 34% | 24% | 8% | 1% |
| 27 | HARRIS Alex K. | - | 1% | 5% | 21% | 42% | 32% | |
| 28 | HAN Daniel Y. | - | 2% | 10% | 26% | 34% | 22% | 6% |
| 29 | RODRIGUEZ Darlin | - | 1% | 5% | 19% | 34% | 31% | 10% |
| 30 | ZHENG Edward L. | - | 2% | 13% | 30% | 34% | 18% | 3% |
| 31 | PIWOWAR Alex | 1% | 11% | 30% | 34% | 19% | 5% | - |
| 32 | TRUDNOS Allen | - | 2% | 10% | 27% | 35% | 22% | 5% |
| 33 | SHANAHAN Adam E. | - | - | 4% | 15% | 33% | 34% | 13% |
| 34 | ZENG Noah | - | 5% | 18% | 33% | 29% | 13% | 2% |
| 35 | CADAMBI Roshan | 1% | 6% | 23% | 38% | 26% | 6% | |
| 36 | GOLDMAN Noah R. | 2% | 11% | 29% | 34% | 19% | 5% | - |
| 37 | EDELMAN Seth A. | 4% | 19% | 33% | 28% | 12% | 3% | - |
| 38 | JANG Junhyuk | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 39 | WU Wilmund | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 40 | FIELDS Matthew S. | 1% | 10% | 28% | 33% | 20% | 6% | 1% |
| 41 | CORTEZ Christopher | - | 4% | 20% | 36% | 29% | 10% | 1% |
| 42 | CHAUDHURI Eeshaan A. | 1% | 7% | 21% | 33% | 27% | 10% | 1% |
| 43 | CHENG Hong | 51% | 37% | 10% | 1% | - | - | - |
| 44 | VILLARREAL Mateo | 4% | 22% | 37% | 27% | 8% | 1% | |
| 45 | WEBER Mattias A. | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 46 | DOLAN Charles R. | - | 6% | 24% | 37% | 25% | 7% | - |
| 47 | YOU Jaden | 7% | 26% | 36% | 23% | 8% | 1% | - |
| 48 | HOTHA Nikhil | 31% | 42% | 21% | 5% | 1% | - | - |
| 49 | DEKA Tanush | 11% | 32% | 35% | 17% | 4% | - | - |
| 50 | SHAHZAD Azlan A. | 20% | 41% | 28% | 9% | 2% | - | - |
| 51 | KAPOOR Tanmay | 44% | 39% | 14% | 2% | - | - | - |
| 52 | FRANCOIS Alexander C. | 19% | 45% | 27% | 7% | 1% | - | - |
| 53 | HU Andrew | 4% | 21% | 36% | 27% | 10% | 2% | - |
| 54 | SAVOY Luca | 3% | 18% | 34% | 29% | 13% | 3% | - |
| 55 | GREENE Cameron J. | - | 4% | 17% | 34% | 30% | 13% | 2% |
| 56 | CLARK Keagan | 37% | 41% | 17% | 3% | - | - | |
| 57 | GOLD Jackson | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 58 | XIA Eric | 39% | 43% | 15% | 2% | - | - | - |
| 59 | LEONARD Charles | 22% | 40% | 27% | 9% | 2% | - | - |
| 60 | MORNEAULT Derec A. | 3% | 15% | 30% | 30% | 17% | 5% | 1% |
| 61 | VENCILL Nicholas | 19% | 40% | 29% | 10% | 2% | - | - |
| 61 | TANG Shu Hon | 12% | 33% | 34% | 16% | 4% | - | - |
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.