King of Prussia, PA - King of Prussia, PA, 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 | ||
| 1 | NAGIMOV Marsel | - | - | 2% | 17% | 44% | 37% |
| 2 | PRILUTSKY David B. | - | - | - | 6% | 31% | 63% |
| 3 | XIAO Enoch A. | - | - | 1% | 11% | 39% | 49% |
| 3 | HOOSHI Dylan M. | - | - | 1% | 11% | 39% | 49% |
| 5 | KAO Castor T. | - | 1% | 8% | 27% | 41% | 23% |
| 6 | AUGUSTINE Ethan A. | - | 1% | 12% | 40% | 46% | |
| 7 | HO Ryan J. | - | - | 3% | 22% | 45% | 29% |
| 7 | XIAO Ethan J. | - | - | 1% | 12% | 40% | 47% |
| 9 | YEROKHIN Michael N. | - | 6% | 27% | 41% | 22% | 3% |
| 10 | ZHANG Henry C. | - | 7% | 30% | 43% | 20% | |
| 11 | SCHENCK Koen M. | 2% | 17% | 41% | 33% | 7% | |
| 12 | WU Alexander | - | 5% | 21% | 40% | 29% | 4% |
| 13 | OURSLER Jack | - | - | 2% | 12% | 39% | 47% |
| 14 | BAE Kevin | - | 2% | 14% | 39% | 35% | 10% |
| 15 | GAO William | 32% | 47% | 18% | 3% | - | - |
| 16 | HERGERT Benito | - | 3% | 20% | 42% | 29% | 6% |
| 17 | GOOR Julian | - | 9% | 33% | 39% | 16% | 2% |
| 18 | JOSEPH Dominic (Dom) | - | 1% | 11% | 35% | 40% | 13% |
| 19 | HOOSHI Jayden C. | 1% | 11% | 35% | 39% | 14% | |
| 20 | DAI Jonathan T. | 1% | 8% | 27% | 39% | 22% | 4% |
| 21 | PYO Michael M. | - | 4% | 19% | 38% | 31% | 7% |
| 22 | TIAN Aaron C. | 3% | 17% | 36% | 32% | 11% | 1% |
| 23 | UM Ethan A. | - | - | 2% | 15% | 42% | 40% |
| 24 | LI Richard | - | 1% | 13% | 37% | 38% | 11% |
| 25 | FOGELSON Frederick J. | - | - | 7% | 30% | 44% | 19% |
| 26 | LIANG Lixi (Henry) | - | 2% | 16% | 39% | 35% | 8% |
| 27 | KWON Ethan | 2% | 17% | 41% | 33% | 7% | |
| 28 | PELOSKY Zack B. | 1% | 10% | 34% | 40% | 16% | |
| 29 | DESOLA Aidan J. | 15% | 38% | 33% | 12% | 2% | - |
| 30 | KEE Andrew L. | 3% | 19% | 37% | 29% | 10% | 1% |
| 31 | BALL James T. | 1% | 10% | 30% | 39% | 18% | 2% |
| 32 | ANTON Nathaniel | 1% | 9% | 31% | 38% | 18% | 2% |
| 33 | WOODTHORPE Michael G. | 19% | 49% | 27% | 5% | < 1% | - |
| 34 | WANG Gerald Y. | 1% | 11% | 34% | 37% | 15% | 2% |
| 35 | MAGIDSON Gabriel | - | 6% | 28% | 41% | 21% | 3% |
| 36 | GRAHAM Roy J. | - | 5% | 22% | 39% | 28% | 5% |
| 37 | AHN Jun | 2% | 15% | 35% | 33% | 13% | 1% |
| 38 | BOOTSMA Shane-Anson | 15% | 39% | 32% | 12% | 2% | - |
| 39 | ZHAI Jeffrey | 1% | 29% | 45% | 21% | 4% | - |
| 40 | LEE Jacob J | - | 5% | 24% | 40% | 26% | 5% |
| 41 | BOBROW Logan | - | 4% | 18% | 37% | 32% | 9% |
| 42 | GATZA Logan | 10% | 33% | 37% | 17% | 3% | - |
| 43 | SCHAEFER Joshua M. | 4% | 28% | 41% | 22% | 5% | - |
| 44 | BROWN Alexander R. | 54% | 37% | 8% | 1% | - | |
| 45 | TSIMIKLIS Yanni | 3% | 22% | 45% | 25% | 5% | - |
| 46 | BING Charles | 1% | 11% | 35% | 37% | 14% | 2% |
| 47 | JIANG Owen | 1% | 25% | 44% | 24% | 5% | - |
| 47 | STRAYER Andrew | 8% | 45% | 35% | 10% | 1% | - |
| 49 | WHITEHEAD Amir | 28% | 43% | 24% | 6% | 1% | - |
| 50 | MILLER Aidan A. | 28% | 42% | 23% | 6% | 1% | - |
| 51 | REZNICK Nicholas J. | 10% | 39% | 38% | 13% | 1% | |
| 52 | ZELTSER Lawrence M. | 1% | 6% | 22% | 37% | 28% | 7% |
| 52 | LE Vyn A. | 11% | 35% | 36% | 15% | 3% | - |
| 54 | TAHOUN Mostafa | 25% | 42% | 25% | 7% | 1% | - |
| 55 | CAI Oliver K. | 22% | 42% | 28% | 8% | 1% | - |
| 56 | LI Eric | 5% | 24% | 39% | 25% | 6% | - |
| 57 | WALTER Evran M. | 10% | 40% | 36% | 13% | 1% | |
| 58 | BELLUOMO David C. | 7% | 28% | 39% | 21% | 5% | - |
| 59 | SYOMICHEV Gleb A. | 51% | 38% | 9% | 1% | - | |
| 60 | MAGIDSON Josh | 49% | 41% | 9% | 1% | - | - |
| 61 | BAUMANN Gunnar | 68% | 27% | 4% | - | - | - |
| 61 | SZE Timothy | 91% | 9% | - | - | - | - |
| 63 | TORRES Treston | 30% | 47% | 20% | 3% | - | - |
| 63 | REZA Farazi | 71% | 26% | 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.