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 | LOYOLA TORRIENTE Padick | - | - | 1% | 6% | 24% | 42% | 27% |
| 2 | LONCAR Luka E. | - | - | - | 2% | 12% | 40% | 46% |
| 3 | GOHEL Dayus T. | - | - | - | 4% | 21% | 44% | 31% |
| 3 | KIM Ethan J. | - | - | 3% | 14% | 34% | 37% | 13% |
| 5 | INSLER Ethan C. | - | - | - | 2% | 15% | 42% | 41% |
| 5 | JACKSON James | - | 2% | 13% | 34% | 36% | 15% | 2% |
| 7 | ZHANG YuJian | - | - | 2% | 14% | 36% | 36% | 12% |
| 8 | CHOI Mason | - | 2% | 10% | 29% | 36% | 19% | 4% |
| 9 | JIN Owen | - | - | 1% | 7% | 26% | 41% | 24% |
| 10 | HE Lawrence | - | - | 4% | 17% | 37% | 34% | 9% |
| 11 | BINDAS Odinn A. | - | - | 2% | 11% | 30% | 38% | 19% |
| 12 | BEZRODNOV Alexander | - | - | 1% | 9% | 29% | 41% | 19% |
| 13 | RICHARD Owen | - | 1% | 6% | 23% | 42% | 28% | |
| 14 | KIM Dylan J. | - | - | 5% | 21% | 38% | 28% | 7% |
| 15 | ZHAO corey | - | - | 4% | 17% | 36% | 33% | 10% |
| 16 | HERMANSON David B. | - | 2% | 12% | 31% | 36% | 17% | 2% |
| 17 | IVAKIMOV Vasil | - | - | 3% | 13% | 32% | 36% | 16% |
| 18 | KNOX James | - | 5% | 21% | 36% | 27% | 9% | 1% |
| 19 | MISHIMA Torata | - | - | 3% | 18% | 38% | 33% | 7% |
| 19 | PARK Frederick | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 21 | ZHANG Zixian (Shawn) | 5% | 31% | 39% | 20% | 5% | < 1% | - |
| 22 | PRIHODKO Max | - | 4% | 18% | 36% | 31% | 9% | |
| 23 | MORSE Tyler | - | 1% | 9% | 25% | 35% | 23% | 6% |
| 24 | BEZRODNOV Michael | - | - | 5% | 21% | 39% | 29% | 7% |
| 25 | KHANNA Nikhil | - | 2% | 13% | 31% | 33% | 17% | 3% |
| 26 | PERSAUD Daivik | 1% | 9% | 27% | 37% | 21% | 4% | |
| 27 | SHAH Maximilian A. | - | - | 5% | 19% | 36% | 30% | 9% |
| 28 | LACROIX Floryan | - | 1% | 10% | 28% | 36% | 21% | 4% |
| 29 | WEI HUNTER | 1% | 8% | 25% | 36% | 23% | 6% | 1% |
| 30 | WU Jonathan | - | 2% | 14% | 32% | 33% | 15% | 2% |
| 31 | KUMAR Aidan | 3% | 18% | 36% | 30% | 12% | 2% | - |
| 32 | LEE JoonWon | 9% | 33% | 36% | 17% | 4% | - | - |
| 33 | WIECHMANN Colin | - | 2% | 13% | 33% | 35% | 15% | 2% |
| 34 | DISIMONE David Z. | - | 4% | 19% | 37% | 29% | 10% | 1% |
| 35 | LEHR William D. | - | 2% | 10% | 28% | 35% | 21% | 5% |
| 36 | SERAFIN Ben | 1% | 14% | 39% | 33% | 11% | 2% | - |
| 37 | TEH Steven | 2% | 16% | 36% | 32% | 12% | 2% | - |
| 38 | SUN Jason | 20% | 40% | 29% | 10% | 1% | - | |
| 39 | KOKENGE Reid | - | - | 2% | 12% | 32% | 38% | 16% |
| 40 | WOLFE Alex | 1% | 11% | 31% | 35% | 18% | 4% | - |
| 41 | KOYFMAN Benjamin | 6% | 26% | 38% | 23% | 7% | 1% | - |
| 42 | NOVOJILOV Alexei | 1% | 8% | 26% | 37% | 22% | 5% | - |
| 43 | MING Isaac | 49% | 39% | 11% | 1% | - | - | - |
| 44 | ARAVIND Athreya | 1% | 13% | 32% | 33% | 16% | 4% | - |
| 45 | MARTINEZ Joshua | 8% | 33% | 37% | 18% | 4% | - | - |
| 46 | BADEA Christian | 37% | 45% | 15% | 2% | - | - | - |
| 47 | LAI Aedin | 1% | 9% | 28% | 37% | 20% | 5% | - |
| 48 | UPSHAW Micah | 14% | 37% | 33% | 13% | 2% | - | |
| 49 | LI Jeffrey | 4% | 21% | 37% | 28% | 9% | 1% | |
| 50 | WU Hongzhou | 2% | 18% | 36% | 30% | 11% | 2% | - |
| 51 | OSTIGUY Cameron | 18% | 42% | 30% | 9% | 1% | - | - |
| 52 | PAHLAVI Kamran | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 53 | XIE Brandon | 35% | 42% | 19% | 4% | - | - | - |
| 53 | WOLFSOHN Peleg | 13% | 37% | 34% | 14% | 2% | - | - |
| 55 | HU Robert J. | 22% | 45% | 26% | 6% | 1% | - | - |
| 56 | NGUYEN Damien | 1% | 14% | 38% | 33% | 12% | 2% | - |
| 57 | STELTENKAMP Neal | 39% | 46% | 13% | 2% | - | - | - |
| 58 | REDDY Arya | 38% | 43% | 16% | 3% | - | - | - |
| 59 | BHATT Krish | 27% | 43% | 24% | 6% | 1% | - | - |
| 60 | PRADHAN Aryan | 15% | 41% | 32% | 11% | 2% | - | - |
| 60 | KIM Dylan | 63% | 31% | 5% | - | - | - | - |
| 62 | MAHALINGAM Nikhil | 56% | 35% | 8% | 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.