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 | ANTHONY Devyn V. | - | - | - | 11% | 38% | 40% | 11% |
| 2 | MEHAN Nicholas | - | - | - | - | 3% | 30% | 67% |
| 3 | URSU Marcel T. | - | 2% | 13% | 32% | 37% | 16% | |
| 3 | HUANG Alex F. | - | - | - | 1% | 8% | 37% | 55% |
| 5 | MEDVINSKY Daniel | - | - | 1% | 12% | 39% | 48% | |
| 5 | KIM Ethan | - | 1% | 9% | 30% | 41% | 19% | |
| 7 | CLARK Aram | - | - | 3% | 24% | 47% | 26% | |
| 8 | ALAVE Kyle | - | - | 2% | 13% | 35% | 39% | 10% |
| 9 | CARRINGTON IV William T. | - | - | 2% | 15% | 45% | 32% | 6% |
| 10 | ZHAO Lucas | - | - | 1% | 9% | 38% | 52% | |
| 11 | WANG Andrew | - | - | - | 1% | 12% | 41% | 46% |
| 12 | KANG evan | 1% | 10% | 28% | 36% | 21% | 4% | |
| 13 | NARDINI Nathanael P. | - | 2% | 14% | 38% | 37% | 9% | |
| 14 | LEE Andrew | - | 3% | 19% | 41% | 31% | 5% | - |
| 15 | PEREIRA Beckham | - | 4% | 19% | 37% | 31% | 9% | |
| 16 | WANG Max | 7% | 33% | 39% | 18% | 3% | - | |
| 17 | BONETTI Brayden | - | - | 1% | 10% | 30% | 41% | 17% |
| 18 | SARWAHI Viraat | 2% | 14% | 35% | 33% | 13% | 2% | < 1% |
| 19 | WAXLER Ryan | - | 4% | 17% | 34% | 31% | 12% | 1% |
| 20 | GUREVICH Benjamin | 3% | 18% | 36% | 30% | 11% | 1% | |
| 21 | LIN Philip T. | - | - | 4% | 25% | 51% | 20% | |
| 22 | DOMINIQUE Remson | - | 2% | 13% | 35% | 37% | 13% | |
| 23 | KIM Samuel | - | 3% | 15% | 31% | 32% | 15% | 3% |
| 24 | SUN Andrew | 1% | 11% | 31% | 36% | 18% | 3% | - |
| 25 | YOOK Isaac | - | - | 5% | 26% | 43% | 23% | 4% |
| 26 | OH Aster | 1% | 12% | 33% | 36% | 16% | 2% | |
| 27 | FADEL Alexander | - | 6% | 25% | 41% | 24% | 4% | |
| 28 | XU Ivan | 28% | 49% | 20% | 3% | - | - | |
| 29 | KULAKSIZ Ali | - | 6% | 40% | 39% | 13% | 1% | |
| 30 | PIERRE Noah | 5% | 35% | 40% | 17% | 3% | - | - |
| 31 | HU Andrew | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 32 | SAYAR Luke | 29% | 45% | 22% | 3% | - | - | - |
| 33 | KOVALEV Daniil N. | - | - | - | 3% | 16% | 40% | 41% |
| 34 | PATEL Rayn | - | 3% | 15% | 35% | 35% | 13% | |
| 35 | JUNG Ethan | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 36 | GIMBRERE Alexandre | 2% | 16% | 36% | 32% | 12% | 2% | - |
| 37 | RUSSELL Hudson | - | 4% | 17% | 32% | 31% | 14% | 2% |
| 38 | DOSTAL Maximilian | 9% | 31% | 38% | 18% | 4% | - | |
| 39 | NOVOSYOLOK Zachary | 1% | 6% | 25% | 40% | 25% | 4% | |
| 40 | AHISHALI Devin | 9% | 31% | 37% | 19% | 4% | - | |
| 41 | BIVIJI Ali | 2% | 13% | 30% | 32% | 18% | 4% | - |
| 42 | LEE Gordon | - | 3% | 14% | 33% | 34% | 14% | 2% |
| 43 | SANTOS Theodore | - | 3% | 17% | 36% | 32% | 11% | 1% |
| 44 | WEI Rian | 11% | 36% | 37% | 14% | 2% | - | - |
| 45 | PILLAI Akshay | 2% | 14% | 35% | 34% | 13% | 2% | - |
| 46 | MORGAN Abrahm H. | 6% | 34% | 38% | 18% | 4% | - | |
| 47 | FENG Brendan | 30% | 50% | 18% | 2% | - | - | |
| 48 | SHICK Baron | 24% | 41% | 26% | 8% | 1% | - | |
| 49 | ROPER F. Elijah | 3% | 18% | 36% | 30% | 11% | 1% | |
| 50 | FENGE Jasper | 10% | 34% | 38% | 15% | 2% | - | |
| 51 | RAJMOHAN Arya | 6% | 25% | 38% | 25% | 6% | - | |
| 52 | CARLIN Jacob | - | 2% | 15% | 38% | 36% | 8% | - |
| 53 | SALDANHA rafael | - | 4% | 19% | 35% | 30% | 11% | 1% |
| 54 | MCDONALD Ryan | 16% | 44% | 33% | 6% | - | - | - |
| 55 | BAI Evan | 24% | 41% | 26% | 8% | 1% | - | - |
| 56 | LIN Maxwell | 2% | 16% | 38% | 32% | 11% | 1% | - |
| 57 | MAWLER malcolm | 12% | 34% | 34% | 16% | 4% | - | - |
| 58 | SONG Nicholas | 60% | 33% | 6% | 1% | - | - | - |
| 59 | SHINCHUK Jacob | 19% | 40% | 30% | 10% | 1% | - | - |
| 60 | LOO Jason | 36% | 44% | 17% | 3% | - | - | |
| 61 | ANNUNZIATA Paolo | 6% | 26% | 40% | 24% | 5% | - | |
| 61 | LEE Alexander | 42% | 47% | 10% | - | - | - | |
| 63 | FOUX Jonathan | 5% | 22% | 35% | 27% | 10% | 2% | - |
| 64 | MELUL Jonathan | 4% | 24% | 40% | 25% | 5% | - | - |
| 65 | ARRUDA Mateus | 6% | 30% | 40% | 21% | 4% | - | |
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.