Mission Fencing Center - Rocky Point, NY, 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 | OSPINA David | - | - | - | 1% | 10% | 38% | 50% |
| 2 | HAN Alexander | - | 1% | 7% | 25% | 40% | 23% | 4% |
| 3 | WONG Jacob W. | - | - | - | 1% | 8% | 39% | 52% |
| 3 | REYES Yannik | - | 6% | 35% | 40% | 16% | 2% | |
| 5 | YANG David H. | - | 1% | 6% | 26% | 43% | 24% | |
| 6 | SFINTESCU Alex | - | 2% | 10% | 29% | 39% | 20% | |
| 7 | ZHENG Austin | 4% | 20% | 37% | 29% | 9% | 1% | - |
| 8 | GRUNENWALD Henri | - | - | 5% | 23% | 44% | 27% | |
| 10 | GLICKSBERG Alexander | 1% | 11% | 31% | 36% | 18% | 3% | |
| 11 | HOLMES Alexiy | - | 1% | 9% | 30% | 42% | 19% | |
| 12 | SHANNON Jack | - | - | 2% | 16% | 43% | 38% | |
| 13 | THOMAS Liam | - | 1% | 11% | 36% | 40% | 12% | |
| 14 | GALLER Dave | - | - | 3% | 19% | 40% | 30% | 7% |
| 15 | BENTLEY Nick | - | - | - | 5% | 25% | 51% | 19% |
| 16 | ZHANG Julian | 1% | 8% | 29% | 39% | 20% | 3% | |
| 17 | OH Joshua | - | - | - | 5% | 25% | 44% | 26% |
| 18 | BAS Jonathan | - | 5% | 19% | 35% | 31% | 10% | |
| 19 | XIA Philip | 5% | 25% | 39% | 24% | 6% | < 1% | |
| 20 | GORLOVITZKI Amitai | - | - | 1% | 10% | 34% | 40% | 15% |
| 21 | MCENTEE Owen | - | 1% | 6% | 24% | 42% | 27% | |
| 22 | LIU Jeremy | 7% | 26% | 36% | 23% | 7% | 1% | |
| 23 | WANG Xicheng | 9% | 31% | 36% | 19% | 5% | 1% | - |
| 24 | DEEB Adam | - | - | 4% | 22% | 44% | 29% | |
| 25 | WAYBRIGHT Matteo | - | 1% | 7% | 26% | 44% | 23% | |
| 26 | MULLIGAN Kevin | - | 1% | 6% | 27% | 45% | 21% | |
| 27 | HUSOCK Dillon | 11% | 34% | 36% | 16% | 3% | - | - |
| 28 | MONTALBINE Aidan | - | 3% | 15% | 36% | 37% | 10% | |
| 29 | SMITH Colin | 7% | 25% | 36% | 24% | 7% | 1% | |
| 30 | CHANG Zane | - | 3% | 14% | 34% | 37% | 11% | 1% |
| 31 | QUAN Noah | 49% | 41% | 9% | 1% | - | - | |
| 32 | TAM Kyle | 2% | 16% | 44% | 30% | 7% | 1% | |
| 33 | CHASE William (Will) | 1% | 13% | 40% | 34% | 11% | 1% | |
| 34 | AMRANI David | 1% | 6% | 22% | 37% | 27% | 7% | |
| 35 | CHENG Karter | 1% | 9% | 28% | 37% | 21% | 4% | |
| 36 | CHANG Xavier | - | 1% | 8% | 34% | 38% | 16% | 2% |
| 37 | SCHWARTZ Seth | 11% | 33% | 35% | 17% | 4% | - | |
| 38 | BERETICH Brian | 1% | 14% | 36% | 34% | 13% | 2% | |
| 39 | KANG Hunter | 31% | 41% | 22% | 5% | 1% | - | |
| 40 | KINGSLEY Griffin | - | 2% | 20% | 43% | 29% | 6% | |
| 41 | PEREZ Logan | 1% | 9% | 29% | 37% | 20% | 3% | |
| 42 | MCGREEVY Gavin | 33% | 45% | 19% | 3% | - | - | |
| 43 | LAI Elvin | 10% | 31% | 36% | 18% | 4% | - | - |
| 44 | CHO Alexander | 3% | 16% | 33% | 32% | 14% | 2% | |
| 45 | ABDELGAWAD Abdelrahman | - | - | 2% | 13% | 38% | 39% | 7% |
| 46 | XU Lucas | 3% | 18% | 36% | 30% | 11% | 1% | |
| 47 | LU Hansen | 3% | 23% | 40% | 27% | 7% | 1% | |
| 48 | QIAN Zekai | 1% | 11% | 34% | 36% | 15% | 2% | |
| 49 | GONZALEZ DE COSIO ALVAREZ Iker | 29% | 56% | 14% | 1% | - | - | |
| 50 | CONVERSO-PARSONS Alexander | 1% | 17% | 53% | 24% | 4% | - | - |
| 51 | ZHANG Ethan | 4% | 21% | 38% | 28% | 8% | 1% | - |
| 52 | BULIN Jack | 27% | 43% | 24% | 6% | 1% | - | |
| 52 | TANG Jeremy | - | 4% | 19% | 37% | 30% | 9% | |
| 54 | COREAS Jonathan | 14% | 36% | 34% | 14% | 2% | - | - |
| 55 | RUPP Keegan E. | 2% | 16% | 36% | 34% | 11% | 1% | - |
| 56 | DHAMIJA Viraaj | 45% | 45% | 10% | 1% | - | - | - |
| 58 | PALMER Jason M. | 33% | 53% | 13% | 1% | - | - | - |
| 59 | GRAY Toby R. | 6% | 28% | 41% | 20% | 4% | - | |
| 60 | ELSAYED Ahmed | 26% | 42% | 25% | 7% | 1% | - | - |
| 61 | TURCIOS Marvin | 3% | 22% | 41% | 26% | 7% | 1% | |
| 62 | PLOSSER Charlie | 24% | 46% | 24% | 5% | - | - | |
| 62 | LYONS Kellen | 53% | 41% | 6% | - | - | - | |
| 64 | LEE Aeden | 12% | 33% | 34% | 17% | 4% | - | |
| 65 | BEGUE DE RIESTHAL Max | 49% | 39% | 11% | 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.