Oaks, PA - Oaks, 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 | 6 | ||
| 1 | GRIFFIN John O. | - | - | - | 1% | 10% | 37% | 52% |
| 2 | XIAO Enoch A. | - | - | - | 1% | 7% | 34% | 59% |
| 3 | XIAO Ethan J. | - | - | 1% | 7% | 24% | 41% | 27% |
| 3 | DAI Jonathan T. | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 5 | CHIN Jason Y. | - | 2% | 10% | 30% | 39% | 18% | |
| 6 | STANLEY Mason B. | - | - | - | 4% | 17% | 41% | 37% |
| 7 | LIANG Lixi (Henry) | - | - | 1% | 9% | 30% | 40% | 19% |
| 8 | ZHANG Andy W. | - | 2% | 11% | 30% | 39% | 18% | |
| 9 | YEROKHIN Michael N. | - | - | 2% | 16% | 37% | 34% | 11% |
| 10 | BING Charles | - | 2% | 12% | 30% | 35% | 17% | 3% |
| 11 | KWON Ethan | - | - | 4% | 16% | 35% | 33% | 12% |
| 12 | SICHITIU Alexander | 1% | 9% | 28% | 37% | 21% | 4% | |
| 13 | KAO Castor T. | - | - | 3% | 14% | 33% | 35% | 15% |
| 14 | BREIER Matthew F. | - | 3% | 14% | 32% | 33% | 15% | 3% |
| 15 | AHN Jun | 1% | 5% | 20% | 35% | 28% | 10% | 1% |
| 16 | YU Anders | - | 3% | 15% | 32% | 32% | 15% | 2% |
| 17 | RITCHIE Luke W. | - | - | 1% | 6% | 24% | 42% | 27% |
| 18 | ZELTSER Lawrence M. | - | 1% | 5% | 18% | 35% | 32% | 9% |
| 19 | DING Jonathan | - | - | 4% | 19% | 37% | 30% | 8% |
| 20 | HOOSHI Dylan M. | - | - | 1% | 7% | 27% | 42% | 23% |
| 21 | XIAO Anthony | - | 5% | 22% | 35% | 27% | 9% | 1% |
| 22 | MAGIDSON Gabriel | - | 1% | 6% | 22% | 37% | 27% | 6% |
| 23 | CHIN Julian S. | - | 4% | 17% | 35% | 31% | 12% | 1% |
| 24 | SONG Leonardo T. | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 25 | LOCKWOOD Owen | - | 1% | 6% | 21% | 38% | 29% | 6% |
| 26 | TOLBA Abdelrahman | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 27 | BRUK Peter J. | 1% | 9% | 27% | 35% | 21% | 6% | 1% |
| 28 | BELLUOMO David C. | - | 3% | 15% | 34% | 33% | 13% | 2% |
| 29 | LEUNG Wai Chi Ethan | - | - | 3% | 18% | 38% | 31% | 9% |
| 30 | CHENG Jonathan | - | 1% | 7% | 25% | 40% | 23% | 3% |
| 31 | LE Vyn A. | 25% | 41% | 25% | 7% | 1% | - | |
| 32 | KIM Aaron J. | 1% | 12% | 32% | 34% | 17% | 4% | - |
| 33 | LI Richard | - | - | 3% | 14% | 33% | 36% | 14% |
| 34 | SINGH Dayaal | - | - | - | 3% | 16% | 42% | 40% |
| 35 | KIM Nicholas W. | - | - | - | 2% | 15% | 41% | 42% |
| 36 | WU Nicholas | - | 2% | 12% | 29% | 34% | 19% | 4% |
| 37 | SHA Yi Peng | - | - | 5% | 20% | 38% | 30% | 7% |
| 38 | HO Ryan J. | - | - | 4% | 21% | 44% | 31% | |
| 39 | MOHAMED Amir | 1% | 11% | 36% | 36% | 14% | 2% | |
| 40 | LIN Richard W. | - | - | 1% | 5% | 21% | 41% | 31% |
| 41 | CHOI Samuel | - | 2% | 11% | 31% | 36% | 17% | 3% |
| 42 | CULLIVAN Justice | - | 1% | 10% | 27% | 36% | 22% | 4% |
| 43 | JUDD Mehta J. | 7% | 33% | 37% | 18% | 4% | - | - |
| 44 | GEE Brandon | - | - | 3% | 15% | 35% | 35% | 12% |
| 45 | OURSLER Jack | - | - | 1% | 8% | 26% | 41% | 23% |
| 46 | BAE Junnie | - | - | 4% | 19% | 40% | 31% | 6% |
| 47 | OH Samuel H. | - | - | 3% | 14% | 35% | 35% | 12% |
| 48 | BAE Kevin | 1% | 6% | 23% | 36% | 26% | 8% | 1% |
| 49 | XIAO EDWARD | - | 3% | 14% | 32% | 33% | 16% | 3% |
| 50 | COSTELLO Chaissen F. | 2% | 15% | 33% | 33% | 14% | 2% | |
| 51 | ZHAO Jesse | 23% | 46% | 25% | 6% | 1% | - | |
| 52 | FU Samuel Y. | 4% | 20% | 36% | 29% | 10% | 1% | |
| 53 | LI Eric | 1% | 6% | 23% | 36% | 25% | 8% | 1% |
| 54 | SIMA Congyu Josh | 4% | 30% | 44% | 19% | 3% | - | - |
| 55 | DAUM Charlie | 3% | 19% | 36% | 30% | 10% | 1% | - |
| 56 | CAI Oliver K. | 15% | 36% | 33% | 14% | 3% | - | - |
| 57 | HORSLEY Alexander | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 58 | ZHAI Jeffrey | 5% | 24% | 38% | 25% | 8% | 1% | - |
| 59 | MENG Zhaoyi | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 60 | MOHAMED Murad | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 61 | FEDONCHIK Henry J. | 2% | 12% | 30% | 35% | 17% | 4% | - |
| 62 | RINEHART Conner M. | - | 5% | 22% | 35% | 27% | 9% | 1% |
| 63 | GAO William | 10% | 32% | 36% | 17% | 4% | - | - |
| 64 | SZE Timothy | 70% | 27% | 3% | - | - | - | - |
| 65 | YU Jonathan J. | 10% | 34% | 36% | 16% | 4% | - | - |
| 66 | DESOLA Aidan J. | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 67 | BOOTSMA Shane-Anson | 4% | 21% | 37% | 28% | 8% | 1% | - |
| 68 | GALLUCCI Charles John | 2% | 24% | 39% | 26% | 8% | 1% | - |
| 69 | SCHAEFER Joshua M. | 6% | 26% | 38% | 24% | 6% | 1% | - |
| 70 | TIAN Aaron C. | 1% | 9% | 27% | 35% | 21% | 6% | - |
| 71 | LI Ryan Z. | 5% | 37% | 41% | 14% | 2% | - | - |
| 72 | KIM BANSEOK J. | 9% | 31% | 36% | 19% | 4% | - | - |
| 73 | SERCK-HANSSEN Peter E. | - | 1% | 8% | 29% | 38% | 20% | 4% |
| 74 | TAHOUN Mostafa | 16% | 38% | 32% | 12% | 2% | - | - |
| 75 | KLEIN Sebastian W. | 6% | 23% | 34% | 26% | 10% | 2% | - |
| 76 | GARR James D. | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 76 | FINLEY Dylan | 9% | 32% | 37% | 18% | 4% | - | - |
| 78 | MILLER Aidan A. | 32% | 43% | 20% | 5% | 1% | - | - |
| 78 | ANTON Nathaniel | 2% | 14% | 34% | 33% | 14% | 3% | - |
| 78 | TAN Christien | 7% | 27% | 36% | 22% | 6% | 1% | - |
| 78 | GAUTAM Vishnu | 19% | 39% | 30% | 10% | 2% | - | - |
| 82 | WANG Andrew | 3% | 18% | 34% | 30% | 12% | 2% | - |
| 83 | HERGERT Benito | - | 2% | 13% | 36% | 37% | 12% | |
| 84 | KOBAL Maximilian | 8% | 29% | 37% | 20% | 5% | - | |
| 85 | KALIPERSAD Neil A. | 36% | 42% | 18% | 3% | - | - | - |
| 86 | BROWN Alexander R. | 13% | 34% | 34% | 15% | 3% | - | - |
| 87 | FORTUNE Alexander J. | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 88 | JIN Dennis H. | 31% | 42% | 21% | 5% | - | - | - |
| 89 | STRAYER Andrew | 13% | 37% | 33% | 13% | 3% | - | - |
| 90 | ZHAO Dylan L. | 11% | 32% | 35% | 17% | 4% | - | - |
| 90 | MAGIDSON Josh | 52% | 37% | 10% | 1% | - | - | - |
| 92 | GISLER Benjamin B. | 19% | 39% | 30% | 10% | 2% | - | - |
| 93 | ZARITSKY Theodore | 28% | 46% | 23% | 4% | - | - | |
| 94 | LUM-DEBONO Alex | 14% | 38% | 34% | 12% | 2% | - | - |
| 95 | WOODTHORPE Michael G. | 43% | 40% | 14% | 2% | - | - | - |
| 96 | BAUMANN Gunnar | 77% | 21% | 2% | - | - | - | - |
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.