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 | BIERNACKI Maciej L. | - | - | - | 1% | 7% | 35% | 57% |
| 2 | CHEONG Heonjun | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 3 | BARNETT Adam | - | - | - | - | 5% | 30% | 64% |
| 3 | SHAHZAD Azlan A. | - | - | 2% | 12% | 31% | 38% | 18% |
| 5 | GLOZMAN Justin | - | - | 2% | 10% | 28% | 39% | 21% |
| 6 | NOBLE Colin | - | - | 2% | 10% | 28% | 39% | 21% |
| 7 | HAN Daniel Y. | - | - | 2% | 11% | 30% | 40% | 17% |
| 8 | DOLAN Charles R. | - | - | 2% | 12% | 32% | 38% | 16% |
| 9 | NOURELDIN Gabriel | - | 1% | 7% | 23% | 35% | 26% | 7% |
| 10 | DALAL Rohan | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
| 11 | RODRIGUEZ Darlin | - | - | 2% | 15% | 40% | 36% | 7% |
| 12 | SAHAY Kenji | 1% | 6% | 22% | 34% | 27% | 10% | 1% |
| 13 | CORTEZ Christopher | - | 2% | 13% | 35% | 38% | 11% | |
| 14 | EDELMAN Seth A. | - | 1% | 7% | 23% | 36% | 26% | 7% |
| 15 | NG Jeremiah | - | 2% | 11% | 27% | 35% | 21% | 5% |
| 16 | ZHAO Lucas | 1% | 6% | 21% | 34% | 26% | 10% | 1% |
| 17 | BABAYEV Gabriel A. | - | - | - | 3% | 15% | 41% | 40% |
| 17 | FIELDS Matthew S. | - | - | 3% | 16% | 36% | 34% | 11% |
| 19 | CHEN Howard | - | - | 2% | 12% | 40% | 47% | |
| 20 | NGUYEN Anthony | - | 4% | 15% | 31% | 32% | 15% | 3% |
| 21 | CHENG Hong | 3% | 18% | 35% | 30% | 12% | 2% | - |
| 22 | MCCARTHY Gabriel | - | - | 4% | 22% | 43% | 27% | 4% |
| 23 | LUCAS Hayden | 4% | 23% | 36% | 26% | 9% | 2% | - |
| 24 | HUROWITZ Max | - | 6% | 25% | 38% | 24% | 6% | - |
| 25 | LEE Andrew | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 26 | LIN Philip T. | 1% | 9% | 32% | 36% | 17% | 4% | - |
| 27 | STONE Christopher A. | 4% | 20% | 37% | 30% | 9% | 1% | |
| 28 | FORMENTI Giulio | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 29 | MATTOO Surya | 4% | 19% | 34% | 29% | 12% | 3% | - |
| 29 | WITCZAK Mateus | 7% | 37% | 37% | 15% | 3% | - | - |
| 31 | DEPEW Spencer | - | 3% | 15% | 34% | 34% | 13% | 1% |
| 32 | STAMIS Kyle | 7% | 27% | 38% | 23% | 5% | - | |
| 33 | KIM-COGAN Ryan | - | - | 1% | 8% | 26% | 41% | 24% |
| 34 | KATZ Ryan | - | 5% | 19% | 33% | 29% | 12% | 2% |
| 35 | COLE Alexander | - | - | 3% | 17% | 36% | 33% | 11% |
| 36 | NARANJO David E. | - | 1% | 10% | 30% | 37% | 19% | 2% |
| 36 | SUGIURA Samuel | - | 4% | 20% | 37% | 29% | 9% | 1% |
| 38 | DEKA Tanush | 11% | 33% | 36% | 17% | 3% | - | |
| 39 | KOGAN Nikita | - | 4% | 20% | 38% | 28% | 9% | 1% |
| 40 | GINSBERG Jordan | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 41 | BRANDT Jaden | - | 3% | 23% | 43% | 25% | 5% | - |
| 42 | LIGUORI Michael | 11% | 46% | 32% | 9% | 1% | - | - |
| 43 | ZHENG LEON | 9% | 29% | 35% | 20% | 6% | 1% | - |
| 44 | PIWOWAR Alex | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 45 | XU Justin | 34% | 52% | 13% | 1% | - | - | - |
| 46 | GILPIN Samuel | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 47 | KIM Theodore | 21% | 40% | 28% | 9% | 2% | - | - |
| 48 | MANESCU Miron | 29% | 41% | 23% | 6% | 1% | - | - |
| 49 | CHUNG Connor | 2% | 14% | 31% | 33% | 16% | 4% | - |
| 50 | CHOKSI Vihaan | 17% | 39% | 32% | 11% | 2% | - | |
| 51 | ALFAU LARACUENTE Gabriel | 11% | 32% | 35% | 17% | 4% | - | - |
| 52 | DIMATTEO Michael | 13% | 35% | 33% | 15% | 3% | - | - |
| 53 | BRIDGEMAN Andrew T. | - | 8% | 38% | 38% | 14% | 2% | - |
| 54 | TANG Shu Hon | 3% | 17% | 34% | 30% | 13% | 3% | - |
| 55 | KAPOOR Tanmay | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 56 | GAYEVSKY Maximilian | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 57 | ZHAO Andy | 44% | 39% | 14% | 3% | - | - | - |
| 58 | KILGALLEN William | < 1% | 4% | 17% | 34% | 32% | 12% | 1% |
| 59 | BHATIA Ekam | 4% | 21% | 35% | 27% | 10% | 2% | - |
| 60 | ARORA Pranav | 62% | 33% | 5% | - | - | - | - |
| 60 | RAGAN STEINSSON Sigurdur | 45% | 46% | 8% | 1% | - | - | - |
| 62 | SHELMIDINE Cole | 63% | 31% | 5% | - | - | - | - |
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.