Secaucus, NJ - Secaucus, 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 | LEE Noah | - | - | - | - | 3% | 24% | 74% |
| 2 | JEYOON Ryan S. | - | - | 1% | 8% | 28% | 43% | 19% |
| 3 | KOKENGE Reid | - | 2% | 14% | 35% | 38% | 12% | |
| 3 | BEZRODNOV Alexander | - | - | 2% | 15% | 42% | 40% | |
| 5 | WIMMER Nathaniel P. | - | - | - | 1% | 11% | 37% | 51% |
| 6 | SU Caleb | - | - | 4% | 21% | 43% | 32% | |
| 7 | KIM Byung | - | 3% | 17% | 35% | 32% | 11% | 1% |
| 8 | MACARTY Jordan T. | - | 1% | 8% | 29% | 41% | 21% | |
| 9 | IARIKOV Nicholas | - | - | 2% | 13% | 31% | 37% | 17% |
| 10 | SHCHUR Landon | - | - | 3% | 17% | 43% | 37% | |
| 11 | LEE Seungwon | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 12 | CHOI Mason | 4% | 18% | 34% | 30% | 12% | 2% | |
| 13 | WANG zhixing (Daniel） | - | 4% | 21% | 37% | 28% | 9% | 1% |
| 14 | YAO Geoffrey B. | - | 2% | 12% | 33% | 39% | 14% | |
| 15 | IVKOV Dmitriy | 2% | 21% | 44% | 27% | 5% | - | |
| 16 | THAKUR Om S. | - | 4% | 17% | 34% | 33% | 12% | |
| 17 | CAO Albert | - | 5% | 21% | 39% | 28% | 6% | |
| 18 | FANG Hanning | 16% | 38% | 32% | 12% | 2% | < 1% | |
| 19 | GONG Haixiang | - | 4% | 22% | 40% | 27% | 6% | - |
| 20 | BEZRODNOV Michael | - | - | - | 3% | 19% | 45% | 33% |
| 21 | ARKHIPOV Peter | - | 2% | 12% | 30% | 36% | 18% | 3% |
| 22 | CAO Brad | 1% | 9% | 35% | 42% | 13% | 1% | |
| 23 | LIN Andrew | 13% | 36% | 34% | 14% | 3% | - | |
| 24 | LEE Samuel Y. | 1% | 7% | 24% | 37% | 25% | 6% | |
| 25 | KATS Dylan G. | - | 2% | 10% | 29% | 39% | 19% | |
| 26 | CHIMOSKEY Finn D. | - | 4% | 18% | 37% | 32% | 8% | |
| 27 | WEI Jonny | - | 4% | 19% | 37% | 30% | 9% | 1% |
| 28 | BHATIA Arav | - | 3% | 17% | 35% | 32% | 12% | 1% |
| 29 | ZAYDMAN Ethan | - | - | 3% | 17% | 42% | 37% | |
| 30 | SKORUPAN Grant | 4% | 21% | 36% | 28% | 9% | 1% | |
| 31 | DURKIN Tristan E. | - | 2% | 12% | 28% | 34% | 19% | 4% |
| 32 | HU Anton | 22% | 44% | 26% | 7% | 1% | - | - |
| 33 | PARK Nicholas | - | - | 2% | 16% | 40% | 36% | 5% |
| 34 | ZHANG Braydon | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 35 | IVKOV Alexander | 7% | 26% | 38% | 23% | 6% | - | |
| 36 | WOLFE Alex | 2% | 13% | 33% | 36% | 15% | 2% | |
| 37 | ARICO Trey | 7% | 25% | 36% | 24% | 8% | 1% | |
| 38 | LI Zachary | - | 2% | 14% | 36% | 36% | 12% | 1% |
| 39 | KIM Brandon | 1% | 9% | 29% | 36% | 20% | 5% | 1% |
| 39 | GAO Max | 7% | 27% | 38% | 22% | 6% | 1% | - |
| 41 | WU Colin | 1% | 7% | 26% | 38% | 24% | 5% | |
| 42 | BRODSKY Julian | 1% | 9% | 27% | 37% | 22% | 4% | |
| 43 | CHAI Ethan | 8% | 38% | 38% | 14% | 2% | - | |
| 44 | WALCH Logan | 11% | 32% | 36% | 17% | 4% | - | |
| 45 | WANG Clayton | 1% | 10% | 32% | 37% | 17% | 3% | - |
| 46 | TOM Skyler | 1% | 7% | 24% | 36% | 24% | 7% | 1% |
| 47 | NASR William | 9% | 36% | 37% | 15% | 2% | - | |
| 48 | ARAVIND Athreya | 8% | 31% | 37% | 19% | 4% | - | |
| 49 | ZHAO corey | 7% | 29% | 39% | 20% | 4% | - | |
| 50 | ARIZA Abraham J. | - | < 1% | 2% | 19% | 56% | 22% | |
| 50 | XIE Brandon | 13% | 35% | 34% | 15% | 3% | - | |
| 52 | PAN Tristan | 5% | 26% | 39% | 24% | 6% | - | |
| 52 | SINGH Aryaman | 6% | 30% | 41% | 19% | 4% | - | |
| 54 | GUO ZIXU | 31% | 43% | 21% | 4% | - | - | |
| 55 | SANTOS Antonio K. | 5% | 30% | 39% | 20% | 5% | - | - |
| 56 | PAVLENISHVILI Luke | 11% | 36% | 35% | 15% | 3% | - | - |
| 57 | PAN Anthony | 28% | 49% | 20% | 3% | - | - | - |
| 58 | JIANG Matthew | 16% | 37% | 31% | 13% | 2% | - | |
| 59 | DROST Lucas | 9% | 31% | 36% | 18% | 4% | - | - |
| 60 | DAN Rex | 55% | 36% | 9% | 1% | - | - | - |
| 61 | SANTOS Francisco M. | 28% | 43% | 23% | 5% | - | - | - |
| 62 | MAO Benjamin | 32% | 44% | 20% | 4% | - | - | |
| 63 | ALI Farhan | 61% | 33% | 6% | - | - | - | |
| 64 | BLUMBERG William | 37% | 46% | 15% | 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.