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 | RHYU Kozmo | - | - | 1% | 4% | 18% | 41% | 36% |
| 2 | GALLANT Antoine | - | - | 1% | 8% | 32% | 43% | 16% |
| 3 | BUYANOV Nikita V. | - | - | 5% | 23% | 43% | 25% | 4% |
| 3 | LEE Daniel Y. | - | - | 1% | 8% | 31% | 46% | 14% |
| 5 | WU Jason | - | 1% | 7% | 24% | 38% | 25% | 5% |
| 6 | LEE Noah | - | - | 2% | 12% | 30% | 37% | 18% |
| 7 | TUMIBAY Noah C. | - | 2% | 10% | 26% | 35% | 23% | 5% |
| 8 | WU Byron | - | 3% | 14% | 32% | 36% | 15% | |
| 9 | HENSAL Nicolas A. | - | 1% | 5% | 20% | 36% | 30% | 9% |
| 10 | LIEF Isaac R. | - | 1% | 7% | 23% | 36% | 26% | 7% |
| 11 | AGAON Shawn | - | 1% | 10% | 31% | 40% | 17% | |
| 12 | PAN Eric | - | - | 1% | 7% | 26% | 42% | 24% |
| 13 | KROPP Jack | - | - | 1% | 11% | 35% | 40% | 12% |
| 14 | ZHANG Nicholas Z. | - | - | 1% | 8% | 26% | 40% | 24% |
| 15 | DIETZ Andor | - | - | 2% | 11% | 30% | 38% | 18% |
| 16 | BHATNAGAR Ayan | 5% | 23% | 39% | 26% | 7% | 1% | |
| 17 | COLLYMORE Spencer T. | - | - | 1% | 7% | 24% | 42% | 27% |
| 18 | DIXON Thomas | - | 2% | 13% | 34% | 37% | 14% | |
| 19 | SIVAKUMAR Ajit | - | 2% | 12% | 29% | 34% | 18% | 3% |
| 20 | BORODITSKY Ethan | - | 1% | 6% | 22% | 37% | 28% | 6% |
| 21 | CHONG christopher | - | - | 4% | 16% | 34% | 34% | 13% |
| 22 | JEYOON Ryan S. | - | - | 6% | 22% | 36% | 28% | 8% |
| 23 | SIDDIQUI Humza K. | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 24 | JUN Jaywu | - | 1% | 10% | 27% | 35% | 22% | 5% |
| 25 | LIU Yichen | 1% | 6% | 26% | 38% | 24% | 5% | |
| 26 | KIM Nicholas W. | - | - | 1% | 5% | 20% | 42% | 33% |
| 27 | BEZRODNOV Alexander | - | 1% | 5% | 19% | 35% | 30% | 10% |
| 28 | SHAH Maximilian A. | - | 1% | 10% | 30% | 40% | 18% | |
| 29 | KOBI Samuel | - | 1% | 7% | 28% | 39% | 21% | 4% |
| 30 | PIERANUNZI Jules (Wills) W. | - | 2% | 11% | 28% | 35% | 20% | 5% |
| 31 | ZENG Zihan | - | 1% | 8% | 27% | 38% | 21% | 4% |
| 32 | HE Lawrence | 1% | 5% | 20% | 36% | 29% | 9% | |
| 33 | VAYSBUKH Konstantin | - | - | 1% | 7% | 24% | 41% | 27% |
| 34 | PARK Ian C. | - | - | - | 3% | 16% | 41% | 40% |
| 35 | KATS Dylan G. | - | - | 5% | 19% | 35% | 31% | 10% |
| 36 | WU Marcus | 3% | 19% | 35% | 29% | 12% | 2% | - |
| 37 | YAVOROVSKIY Joshua I. | - | - | 6% | 25% | 39% | 24% | 5% |
| 38 | KIM Byung | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 39 | CHAI Jonathan | - | 2% | 10% | 26% | 36% | 22% | 4% |
| 40 | GOLDFINE Ian J. | - | - | - | 2% | 14% | 43% | 41% |
| 41 | POZOVSKIY Mitchell R. | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 42 | SU Caleb | - | 1% | 6% | 21% | 36% | 28% | 9% |
| 43 | NORTH Alexander M. | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 44 | KHALITOV Alexander | 10% | 31% | 35% | 18% | 5% | 1% | - |
| 45 | MURPHY Thomas P. | - | 3% | 16% | 36% | 34% | 11% | |
| 46 | MISHIMA Torata | 9% | 30% | 35% | 19% | 5% | - | |
| 47 | BEZRODNOV Michael | - | 1% | 5% | 19% | 36% | 31% | 9% |
| 48 | CHIMOSKEY Finn D. | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 49 | ZHAO Jonathan | - | 1% | 6% | 21% | 36% | 28% | 8% |
| 50 | CHATZIKALFAS Dimitris E. | 1% | 10% | 27% | 35% | 21% | 6% | - |
| 51 | YUAN Calvin | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 52 | CHAWLA Armaan | - | 4% | 17% | 33% | 30% | 13% | 2% |
| 53 | LEE Hudson | - | 6% | 27% | 38% | 23% | 6% | - |
| 54 | MACARTY Jordan T. | - | - | 4% | 17% | 35% | 33% | 11% |
| 55 | CANO Marcos E. | 1% | 6% | 21% | 34% | 27% | 10% | 1% |
| 56 | BASOK Nikita | - | 6% | 24% | 40% | 24% | 5% | - |
| 57 | GU Aidan | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
| 58 | AGAON Ethan | 1% | 8% | 24% | 36% | 25% | 6% | |
| 59 | MUMMIDI Rishi | 8% | 28% | 36% | 21% | 6% | 1% | |
| 60 | CAO Albert | 2% | 14% | 32% | 32% | 16% | 4% | - |
| 61 | WOLFE Alex | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 62 | TAHOUN Aly | 1% | 11% | 29% | 34% | 20% | 5% | - |
| 63 | BHATIA Rahil | 19% | 41% | 30% | 9% | 1% | - | |
| 64 | CHEN Zhong Han | 7% | 41% | 36% | 13% | 2% | - | - |
| 65 | CHAMBLISS Logan C. | - | 1% | 9% | 28% | 37% | 20% | 3% |
| 66 | BANKULLA Nihal R. | - | 4% | 19% | 38% | 30% | 8% | |
| 67 | WANG zhixing (Daniel） | 6% | 26% | 36% | 23% | 7% | 1% | - |
| 68 | SONG Alexander | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 69 | LEVCHOOK Thomas | - | 3% | 19% | 38% | 31% | 9% | |
| 70 | ZHANG Braydon | 11% | 32% | 34% | 18% | 4% | - | |
| 71 | CUI Oscar (Bo Lang) | - | 4% | 20% | 35% | 28% | 11% | 2% |
| 72 | MING Isaac | 44% | 40% | 14% | 2% | - | - | - |
| 73 | KOKENGE Reid | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 74 | ZHAO corey | 12% | 43% | 33% | 11% | 2% | - | - |
| 75 | CAO Brad | 2% | 15% | 34% | 32% | 15% | 3% | - |
| 76 | MUN Chur-Yong | 3% | 17% | 34% | 30% | 13% | 3% | - |
| 77 | ROLLO Emmett H. | 3% | 25% | 40% | 25% | 7% | 1% | - |
| 78 | CHOI Mason | 2% | 13% | 30% | 33% | 18% | 5% | - |
| 79 | ZHANG William | 15% | 39% | 33% | 11% | 2% | - | - |
| 80 | ALKEMA Benjamin | 26% | 45% | 24% | 5% | - | - | - |
| 81 | NESTERCZUK Maddox W. | 54% | 36% | 9% | 1% | - | - | - |
| 82 | PARK Frederick | 2% | 18% | 36% | 30% | 12% | 2% | - |
| 83 | CHU Allan | - | 1% | 7% | 24% | 37% | 25% | 5% |
| 84 | KUMAR Aidan | 1% | 11% | 30% | 35% | 19% | 4% | - |
| 85 | PARK Nicholas | 1% | 13% | 33% | 33% | 16% | 4% | - |
| 86 | SKORUPAN Grant | - | 4% | 20% | 37% | 29% | 9% | 1% |
| 87 | GAO Daniel | 24% | 47% | 24% | 5% | 1% | - | |
| 88 | WOZNIAK Fryderyk | 3% | 18% | 37% | 30% | 10% | 1% | - |
| 88 | PAN Tristan | 21% | 39% | 28% | 10% | 2% | - | - |
| 90 | GONG Haixiang | 5% | 27% | 42% | 21% | 4% | - | - |
| 91 | ZHANG Zixian (Shawn) | 10% | 36% | 35% | 15% | 3% | - | - |
| 91 | LEE Seungwon | - | 3% | 14% | 31% | 33% | 16% | 2% |
| 93 | YAO Geoffrey B. | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 94 | LEE Samuel Y. | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 94 | BHATIA Arav | 4% | 21% | 35% | 27% | 10% | 2% | - |
| 96 | LU Guanxun (James) | 17% | 38% | 31% | 12% | 2% | - | - |
| 97 | FUSSMAN Yuval | 12% | 37% | 37% | 12% | 2% | - | - |
| 98 | FANG Hanning | 25% | 44% | 25% | 6% | 1% | - | |
| 99 | XIE Brandon | 20% | 42% | 28% | 9% | 1% | - | - |
| 100 | ZHOU Andrew | 36% | 45% | 17% | 3% | - | - | |
| 101 | ZHUANG Alex | 25% | 44% | 25% | 5% | - | - | - |
| 102 | ZHANG Andy | 62% | 32% | 6% | 1% | - | - | - |
| 102 | HU Anton | 45% | 40% | 12% | 2% | - | - | - |
| 104 | CHOI Marcus | 24% | 44% | 26% | 6% | - | - | - |
| 105 | WANG Max S | 74% | 24% | 2% | - | - | - | - |
| 105 | CHANG Benjamin | 58% | 35% | 6% | 1% | - | - | - |
| 105 | GAO Max | 42% | 40% | 15% | 3% | - | - | - |
| 108 | VALAYANNOPOULOS Nicolas | 14% | 41% | 32% | 10% | 2% | - | - |
| 109 | ZHANG Ryan | 24% | 40% | 26% | 8% | 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.