Brandeis University - Waltham, MA, 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 | SZCZAPA Lukas | - | 1% | 8% | 27% | 40% | 23% | |
| 2 | BENNETT Nathaniel | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 3 | BYRON Max | 1% | 6% | 23% | 38% | 26% | 5% | |
| 3 | BURNHAM Mark | - | 2% | 12% | 32% | 38% | 15% | |
| 5 | OSBORN Reuben | - | - | 1% | 6% | 23% | 42% | 27% |
| 6 | ROBINSON Garrett | 1% | 11% | 32% | 38% | 16% | 1% | |
| 7 | JHA Adarsh | 9% | 37% | 38% | 15% | 2% | - | |
| 8 | MOSHIER Calvin | 10% | 34% | 36% | 16% | 3% | - | |
| 9 | WARD Kofi | - | 2% | 11% | 26% | 33% | 21% | 5% |
| 10 | RAMIREZ CARDONA Sebastian | - | - | - | 2% | 21% | 77% | |
| 11 | BRESLAV Asher | 4% | 24% | 40% | 25% | 6% | - | |
| 12 | YELIZAROV Vladislav | - | - | 1% | 10% | 38% | 51% | |
| 13 | HANNA Alexander | 2% | 14% | 33% | 34% | 15% | 2% | |
| 14 | SPAGONE Avery | - | - | 1% | 12% | 41% | 45% | |
| 15 | WARD Carrington R. | - | 2% | 14% | 35% | 35% | 13% | |
| 16 | DU Yifan | 1% | 5% | 17% | 31% | 29% | 14% | 3% |
| 17 | NGUYEN Trung | 1% | 5% | 17% | 31% | 29% | 14% | 3% |
| 18 | SPALDING Elihu | - | - | 5% | 27% | 53% | 15% | |
| 19 | LIBERT Zachariah | - | 3% | 16% | 36% | 34% | 11% | |
| 20 | MASSE Dean | 1% | 10% | 28% | 35% | 21% | 5% | |
| 21 | MITSCH Aubrey | 1% | 5% | 18% | 32% | 30% | 13% | 2% |
| 22 | MANITT Philip | 1% | 7% | 26% | 41% | 23% | 2% | |
| 23 | PESSIN Nadav | - | 2% | 12% | 33% | 38% | 15% | |
| 24 | ASHLEY Logan | - | 6% | 24% | 40% | 26% | 5% | |
| 25 | STEIN Philip | - | 1% | 9% | 28% | 41% | 21% | |
| 26 | HOWLETT Daniel | - | 2% | 15% | 38% | 36% | 9% | |
| 27 | JESSER Daxton | 34% | 44% | 19% | 3% | - | - | |
| 28 | BUMPUS Isaias | 4% | 20% | 36% | 29% | 10% | 1% | |
| 29 | PIERINI Noah | 1% | 9% | 26% | 35% | 23% | 6% | |
| 30 | HOLCOMB Liam | 1% | 7% | 23% | 35% | 27% | 8% | |
| 31 | BEAULIEU Edmund | 19% | 40% | 30% | 10% | 1% | - | |
| 32 | DIXON Miles | 31% | 43% | 21% | 4% | - | - | |
| 33 | GU Eric | 5% | 21% | 35% | 27% | 10% | 2% | - |
| 34 | PEZZINO Matthew | 1% | 11% | 33% | 38% | 16% | 1% | |
| 35 | CHAVES Evan | 3% | 18% | 36% | 30% | 11% | 2% | |
| 36 | HEISLER Maxfield | 4% | 21% | 38% | 28% | 9% | 1% | |
| 37 | LAW Oliver | 3% | 15% | 32% | 32% | 15% | 3% | |
| 38 | NIXON-PERONI Micah | 2% | 13% | 30% | 33% | 18% | 4% | |
| 39 | DOLLARHITE Tommy | 1% | 8% | 29% | 41% | 21% | 1% | |
| 40 | BENNETT Nathan | 6% | 26% | 37% | 24% | 7% | 1% | |
| 41 | SONPAL Winslow | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 42 | KOEFERL Miles | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
| 43 | HAN Nathan | 3% | 17% | 33% | 30% | 14% | 2% | |
| 44 | BARNES Kieron | 19% | 38% | 30% | 11% | 2% | - | |
| 45 | BUISINE Aurelien | 1% | 10% | 28% | 36% | 21% | 4% | |
| 46 | JAMES Lewis I. | - | 4% | 16% | 34% | 33% | 12% | |
| 47 | CONNER James | 26% | 41% | 25% | 7% | 1% | - | |
| 48 | CHAN Tyler | 3% | 21% | 39% | 28% | 8% | - | |
| 49 | BAGAM Abhiram | 25% | 42% | 25% | 7% | 1% | - | |
| 50 | SONG Ryan | 1% | 5% | 17% | 31% | 30% | 14% | 3% |
| 51 | BERLET Bobby F. | - | 4% | 16% | 30% | 30% | 15% | 3% |
| 52 | BARRETT Jon | 31% | 43% | 21% | 5% | - | - | |
| 53 | PANAS Mason | 7% | 30% | 39% | 21% | 4% | - | |
| 54 | WITHERELL Logan | 5% | 24% | 39% | 25% | 7% | 1% | |
| 55 | COHEN David A. | - | 2% | 10% | 26% | 34% | 22% | 6% |
| 56 | BUISINE Sebastien | 7% | 25% | 34% | 24% | 9% | 2% | - |
| 57 | CHEN Mao Long | 12% | 31% | 33% | 18% | 6% | 1% | - |
| 58 | CUFF Joe | 11% | 33% | 36% | 17% | 3% | - | |
| 59 | TARDIFF Seth | 12% | 36% | 35% | 14% | 2% | - | |
| 60 | MORRIS Samuel | 1% | 23% | 41% | 27% | 7% | 1% | |
| 61 | RICHARDS Jack | 43% | 41% | 14% | 2% | - | - | |
| 62 | GROSSO-SIEBECKER Toren | 3% | 24% | 44% | 24% | 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.