San Diego, CA - San Diego, 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 | NORBUTAS Jackson S. | - | - | 2% | 12% | 31% | 38% | 16% |
| 2 | MOSES Alexander | - | 1% | 8% | 23% | 34% | 26% | 7% |
| 3 | RANGEL Arturo | - | 1% | 5% | 21% | 37% | 29% | 7% |
| 5 | LEE Alexander G. | - | - | 2% | 10% | 28% | 39% | 21% |
| 6 | HWANG Samuel W. | - | 2% | 12% | 32% | 38% | 16% | |
| 7 | SHARMA Sanil | - | 3% | 23% | 46% | 28% | ||
| 8 | JIN Nicholas | 1% | 7% | 25% | 38% | 24% | 5% | |
| 9 | LATIF IMRAN ZAKARIYYA | - | 1% | 10% | 32% | 41% | 17% | |
| 10 | BRISLAWN Reilly R. | - | 2% | 11% | 34% | 39% | 14% | |
| 11 | WONG Daniel | 8% | 25% | 34% | 23% | 9% | 2% | - |
| 12 | POCSVEILER Magor | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
| 13 | SINGHA Orion | - | - | 3% | 14% | 34% | 38% | 11% |
| 14 | BURKE Spencer W. | 1% | 6% | 22% | 36% | 28% | 8% | |
| 15 | GILLISON Edward L. | 7% | 24% | 34% | 24% | 10% | 2% | - |
| 16 | KIM Darius H. | 2% | 13% | 31% | 33% | 16% | 4% | - |
| 17 | DEKERMANJI Christopher | - | - | - | 1% | 10% | 37% | 52% |
| 18 | THOMPSON Chester | - | 3% | 20% | 40% | 30% | 7% | |
| 19 | PRASAD Ankith | - | - | - | 3% | 20% | 47% | 29% |
| 20 | BAZHENOV Anthony | - | 6% | 27% | 40% | 23% | 4% | |
| 21 | MOHEBI Saam | - | 7% | 31% | 43% | 18% | ||
| 22 | LIN Kyran | - | 1% | 7% | 20% | 34% | 29% | 10% |
| 23 | JIN daniel | 2% | 14% | 33% | 33% | 14% | 2% | - |
| 24 | GYURE Brayden H. | 1% | 8% | 25% | 34% | 23% | 7% | 1% |
| 25 | MENDOZA Zachari | - | 8% | 28% | 37% | 22% | 5% | - |
| 26 | ZHU Max | 1% | 8% | 26% | 35% | 23% | 7% | 1% |
| 27 | HUSSAIN Kamran | 1% | 6% | 20% | 33% | 27% | 11% | 2% |
| 28 | DIECK Logan O. | - | - | 3% | 20% | 43% | 33% | |
| 29 | DRIBIN Ezra | 7% | 27% | 38% | 23% | 6% | - | |
| 30 | LIANG Aaron | 2% | 10% | 27% | 33% | 21% | 7% | 1% |
| 31 | SIVAGAR Leo | 1% | 12% | 37% | 37% | 12% | ||
| 32 | CHOI Isaac | - | 4% | 21% | 40% | 28% | 6% | |
| 33 | JAIN Aditya | - | 1% | 5% | 20% | 36% | 29% | 8% |
| 34 | NOEL Sebastien A. | - | 1% | 5% | 21% | 39% | 29% | 5% |
| 35 | ZHOU Stanley Q. | 15% | 37% | 32% | 13% | 2% | - | - |
| 36 | MATTIS George | 6% | 25% | 35% | 24% | 8% | 1% | - |
| 37 | USHER Alexander | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 38 | AHN Gus | 13% | 33% | 33% | 16% | 4% | 1% | - |
| 39 | XU Alex | 23% | 40% | 27% | 8% | 1% | - | - |
| 40 | WRIGHT Christopher | - | 5% | 21% | 37% | 28% | 8% | 1% |
| 41 | MARQUEZ ALDANA EThan Gabriel | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
| 43 | CHU Anthony | 4% | 19% | 33% | 29% | 13% | 3% | - |
| 44 | MILEY Nick N. | 2% | 16% | 35% | 32% | 12% | 2% | - |
| 45 | PAI Nandan K. | 67% | 28% | 4% | - | - | - | - |
| 46 | FEES HOLDEN | 3% | 19% | 38% | 29% | 9% | 1% | - |
| 47 | BRUSKOTTER Reiland | 11% | 35% | 35% | 15% | 3% | - | - |
| 48 | BAGCHI Aritra | - | 2% | 9% | 24% | 34% | 24% | 7% |
| 49 | WESTON Tom | 39% | 44% | 14% | 2% | - | ||
| 50 | WANG DEVON | 26% | 41% | 24% | 7% | 1% | - | |
| 51 | SEWELL Jacob | 6% | 28% | 43% | 20% | 3% | - | |
| 52 | SCOFIELD Thien J. | 8% | 39% | 37% | 13% | 2% | - | |
| 53 | CORDOVA-CHAVARRY Alejandro | 21% | 42% | 28% | 8% | 1% | - | |
| 54 | KIM Sullivan | 22% | 49% | 24% | 5% | - | - | |
| 55 | ALVAREZ Ian T. | - | < 1% | 4% | 17% | 37% | 34% | 8% |
| 56 | LIU Kirk D. | 3% | 21% | 37% | 28% | 10% | 2% | - |
| 57 | YEH Preston | 9% | 32% | 36% | 19% | 5% | 1% | - |
| 58 | CARRIER Gabriel A. | 7% | 25% | 34% | 23% | 8% | 1% | - |
| 59 | PARK Elliot | - | 3% | 12% | 29% | 34% | 19% | 4% |
| 60 | WONG Nathan | < 1% | 1% | 8% | 27% | 38% | 22% | 4% |
| 61 | CHU Allan | 3% | 17% | 36% | 31% | 12% | 2% | |
| 62 | DRIBIN Zev | 25% | 50% | 22% | 3% | - | ||
| 63 | NIKOLOV Peter | 30% | 44% | 21% | 4% | - | - | - |
| 64 | CROSSMAN Brandon | 50% | 42% | 8% | 1% | - | - | |
| 65 | ZHANG Alec | 2% | 11% | 26% | 32% | 21% | 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.