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 | MORSE Tyler | - | - | 3% | 14% | 33% | 36% | 14% |
| 2 | SHENG Patrick Y. | - | - | 1% | 7% | 24% | 41% | 27% |
| 3 | DIXON Samuel | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 3 | BHATNAGAR Ayan | 3% | 19% | 37% | 29% | 10% | 2% | - |
| 5 | LEE Daniel Y. | - | - | - | 5% | 20% | 42% | 32% |
| 6 | GROSSMAN August | - | 1% | 5% | 21% | 38% | 29% | 7% |
| 7 | WOZNIAK Ignacy | 2% | 15% | 36% | 35% | 12% | ||
| 8 | DIETZ Andor | - | - | 4% | 18% | 35% | 32% | 10% |
| 9 | PARK Ian C. | - | 1% | 4% | 14% | 31% | 35% | 16% |
| 10 | KIM William M. | - | - | 2% | 10% | 30% | 40% | 19% |
| 11 | COLLYMORE Spencer T. | - | - | 1% | 6% | 24% | 42% | 27% |
| 12 | MAAS Sean H. | - | 1% | 8% | 26% | 38% | 23% | 4% |
| 13 | JUN Jaywu | - | 3% | 13% | 28% | 33% | 19% | 4% |
| 14 | PIERANUNZI Jules (Wills) W. | 2% | 12% | 30% | 34% | 18% | 4% | |
| 15 | VAYSBUKH Konstantin | 1% | 8% | 28% | 41% | 21% | ||
| 16 | KROPP Jack | - | 3% | 16% | 34% | 34% | 13% | |
| 17 | GALLANT Antoine | - | - | - | 3% | 17% | 42% | 38% |
| 18 | CHO Tyler H. | - | - | 3% | 14% | 33% | 36% | 15% |
| 19 | DIAS-LALCACA Kieran P. | - | 1% | 7% | 23% | 38% | 26% | 6% |
| 20 | SIDDIQUI Humza K. | - | 2% | 14% | 37% | 36% | 11% | |
| 21 | WIEDERHORN ethan | - | 1% | 10% | 28% | 36% | 20% | 4% |
| 22 | PAK Charles | - | 3% | 15% | 34% | 34% | 13% | |
| 23 | BORATIN Daniel I. | 1% | 6% | 21% | 36% | 28% | 9% | |
| 24 | GANA Jr Jorge M. | - | - | 5% | 23% | 44% | 28% | |
| 25 | HENSAL Nicolas A. | - | 4% | 14% | 29% | 31% | 18% | 4% |
| 26 | WU Byron | - | - | 4% | 18% | 36% | 32% | 10% |
| 27 | JEYOON Ryan S. | - | 1% | 9% | 27% | 36% | 22% | 5% |
| 28 | DIXON Thomas | 1% | 10% | 28% | 34% | 20% | 6% | 1% |
| 29 | WU Jason | 1% | 6% | 20% | 33% | 27% | 11% | 2% |
| 30 | BINDAS Odinn A. | 28% | 41% | 24% | 7% | 1% | - | |
| 31 | KUMAR Aidan | 8% | 28% | 35% | 21% | 7% | 1% | - |
| 32 | CHAI Jonathan | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 33 | MISHIMA Torata | 13% | 35% | 34% | 15% | 3% | < 1% | |
| 34 | LEE Seungwon | - | 6% | 24% | 37% | 25% | 7% | 1% |
| 35 | PAN Eric | - | - | 3% | 15% | 33% | 35% | 13% |
| 36 | BASOK Nikita | 5% | 21% | 33% | 27% | 12% | 3% | - |
| 37 | LAI Coby | 1% | 7% | 26% | 37% | 24% | 6% | |
| 38 | SALERNO Gaetano | - | 3% | 15% | 37% | 35% | 11% | |
| 39 | BUYANOV Nikita V. | - | 3% | 15% | 34% | 35% | 14% | |
| 40 | ZHAO Luhan | 19% | 41% | 30% | 9% | 1% | ||
| 41 | LIEF Isaac R. | - | 2% | 14% | 32% | 34% | 16% | 3% |
| 42 | CHATZIKALFAS Dimitris E. | - | 2% | 13% | 33% | 35% | 15% | 2% |
| 43 | SIVAKUMAR Ajit | - | 4% | 17% | 32% | 30% | 14% | 3% |
| 44 | HE Lawrence | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 45 | WIMMER Nathaniel P. | - | - | 2% | 11% | 31% | 39% | 17% |
| 46 | GU Aidan | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 47 | WHITEHURST JJ | 1% | 8% | 26% | 37% | 23% | 5% | |
| 48 | KOBI Samuel | 3% | 18% | 36% | 30% | 11% | 2% | |
| 49 | BORODITSKY Ethan | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 50 | CUI Oscar (Bo Lang) | 1% | 11% | 30% | 35% | 18% | 4% | - |
| 51 | LEE Hudson | 3% | 17% | 35% | 31% | 13% | 2% | - |
| 52 | ZENG Zihan | 1% | 8% | 22% | 32% | 25% | 10% | 1% |
| 53 | PARK Frederick | 4% | 33% | 39% | 19% | 4% | - | - |
| 54 | KING Cameron | 1% | 8% | 25% | 36% | 24% | 6% | |
| 55 | SEELEY Charlie | 20% | 42% | 29% | 8% | 1% | - | |
| 56 | MACARTY Jordan T. | 1% | 10% | 29% | 35% | 20% | 4% | |
| 57 | CHU Allan | 1% | 7% | 25% | 37% | 24% | 6% | |
| 58 | HANRATTY Liam | 2% | 13% | 28% | 32% | 19% | 6% | 1% |
| 59 | MUMMIDI Rishi | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 60 | MUN Chur-Yong | 14% | 34% | 33% | 15% | 4% | - | - |
| 61 | CHONG christopher | - | 2% | 13% | 32% | 34% | 16% | 3% |
| 62 | WANG Tristan | 8% | 30% | 38% | 20% | 4% | ||
| 63 | LIU Yichen | 9% | 30% | 35% | 20% | 6% | 1% | - |
| 64 | WU Marcus | 4% | 18% | 32% | 29% | 14% | 4% | - |
| 65 | SCHADE Lucas | 11% | 37% | 35% | 14% | 3% | - | - |
| 66 | ROLLO Emmett H. | 8% | 29% | 36% | 21% | 6% | 1% | - |
| 67 | NORTH Alexander M. | - | 4% | 17% | 34% | 31% | 12% | 2% |
| 68 | YUAN Calvin | 4% | 21% | 36% | 28% | 10% | 1% | |
| 69 | MARTINEZ Joshua | 3% | 17% | 34% | 31% | 13% | 2% | |
| 70 | MATEI Daniel | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 71 | PADHYE Siddhant | - | - | 4% | 18% | 36% | 32% | 9% |
| 72 | CHAMBLISS Logan C. | - | 1% | 9% | 28% | 38% | 21% | 4% |
| 73 | CHEN Zhong Han | 37% | 41% | 18% | 4% | - | - | - |
| 74 | FUSSMAN Yuval | 10% | 34% | 37% | 16% | 3% | - | - |
| 75 | BANKULLA Nihal R. | 1% | 9% | 29% | 35% | 20% | 5% | 1% |
| 76 | STEVENS George | 10% | 32% | 37% | 18% | 3% | ||
| 77 | SONG Alexander | 22% | 41% | 27% | 9% | 1% | - | |
| 78 | ZHANG Zixian (Shawn) | 10% | 38% | 38% | 12% | 2% | - | |
| 79 | ZHAO Jonathan | 1% | 6% | 22% | 37% | 27% | 7% | |
| 79 | LAM Bill | 13% | 44% | 33% | 10% | 1% | - | |
| 81 | KLUGMAN Reece | 9% | 30% | 36% | 19% | 5% | 1% | - |
| 82 | KOKENGE Reid | 4% | 17% | 31% | 29% | 15% | 4% | - |
| 83 | GORTI Agustya | 5% | 26% | 38% | 24% | 7% | 1% | - |
| 84 | CHOI Marcus | 33% | 43% | 19% | 4% | - | - | - |
| 85 | KHALITOV Alexander | 17% | 38% | 30% | 12% | 2% | - | - |
| 86 | KAPLAN Alejandro | 7% | 31% | 39% | 18% | 4% | - | - |
| 87 | FAN Russell | 53% | 37% | 9% | 1% | - | - | |
| 88 | PAPAVASSILIOU Christos | 72% | 25% | 3% | - | - | - | - |
| 89 | SHAO Haian | 41% | 42% | 15% | 2% | - | - | - |
| 89 | STEWART Charlie | 25% | 41% | 25% | 8% | 1% | - | - |
| 89 | NASR Paul | 16% | 43% | 32% | 8% | 1% | - | - |
| 92 | GAO Daniel | 40% | 46% | 12% | 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.