Suffern, NY - Suffern, 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 | LONCAR Luka E. | - | - | - | 5% | 24% | 43% | 27% |
| 2 | TUMIBAY Noah C. | - | 1% | 6% | 24% | 38% | 26% | 6% |
| 3 | DYER Ian E. | - | 1% | 7% | 22% | 36% | 27% | 8% |
| 3 | WU Jason | - | - | 3% | 13% | 30% | 37% | 18% |
| 5 | DIXON Thomas | - | 2% | 12% | 28% | 34% | 20% | 5% |
| 6 | JUN Jaywu | - | 3% | 17% | 39% | 33% | 9% | |
| 7 | LEE Noah | - | - | 1% | 6% | 26% | 43% | 25% |
| 8 | KOKENGE Reid | - | 1% | 5% | 17% | 33% | 32% | 12% |
| 9 | GALLANT Antoine | - | - | 2% | 12% | 32% | 38% | 16% |
| 10 | LEE Hudson | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 11 | BEZRODNOV Michael | - | - | 3% | 16% | 38% | 33% | 10% |
| 12 | SALERNO Gaetano | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 13 | CHOI Mason | - | - | 4% | 20% | 38% | 29% | 8% |
| 14 | AGAON Ethan | - | 6% | 27% | 40% | 22% | 4% | |
| 15 | PAHLAVI Kamran | - | 4% | 17% | 32% | 31% | 14% | 3% |
| 16 | FUSSMAN Yuval | 7% | 32% | 39% | 18% | 4% | - | - |
| 17 | TAHOUN Aly | - | 1% | 11% | 33% | 36% | 15% | 2% |
| 18 | HE Lawrence | - | 1% | 8% | 24% | 35% | 24% | 7% |
| 19 | BANKULLA Nihal R. | - | - | 2% | 10% | 29% | 39% | 21% |
| 20 | PARK Frederick | - | 5% | 22% | 37% | 27% | 8% | 1% |
| 21 | KIM Byung | - | 4% | 15% | 31% | 31% | 16% | 3% |
| 22 | ZHUANG Alex | 24% | 42% | 26% | 7% | 1% | - | - |
| 23 | PRIHODKO Max | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 24 | CHATZIKALFAS Dimitris E. | - | - | 1% | 11% | 32% | 39% | 17% |
| 25 | WU Marcus | - | 2% | 11% | 26% | 33% | 21% | 5% |
| 26 | ROYTBURD Samuel | 11% | 35% | 37% | 14% | 2% | - | - |
| 27 | BHATNAGAR Ayan | - | 1% | 5% | 22% | 37% | 27% | 7% |
| 28 | SUN Jeffery | 15% | 39% | 33% | 11% | 2% | - | - |
| 29 | BINDAS Odinn A. | 2% | 11% | 27% | 33% | 21% | 7% | 1% |
| 30 | DURKIN Tristan E. | - | 1% | 6% | 21% | 36% | 28% | 8% |
| 31 | MISHIMA Torata | - | 4% | 18% | 36% | 30% | 11% | 1% |
| 32 | KHALITOV Alexander | 3% | 18% | 34% | 29% | 13% | 3% | - |
| 33 | AGAON Shawn | - | - | 2% | 11% | 32% | 39% | 16% |
| 34 | BORODITSKY Ethan | - | - | 6% | 24% | 43% | 27% | |
| 35 | SUN Jason | 4% | 22% | 36% | 26% | 10% | 2% | - |
| 36 | CHIMOSKEY Finn D. | - | - | 2% | 14% | 36% | 37% | 12% |
| 37 | MCCRACKEN Dylan | 5% | 22% | 36% | 26% | 9% | 2% | - |
| 38 | WALCH Logan | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 39 | GONG Haixiang | 19% | 43% | 30% | 8% | 1% | - | - |
| 40 | RAKOWSKY Luke | 20% | 38% | 29% | 11% | 2% | - | - |
| 41 | GAO Daniel | 14% | 41% | 32% | 11% | 2% | - | - |
| 42 | BASOK Nikita | 1% | 9% | 28% | 37% | 20% | 4% | |
| 43 | ZHANG William | 34% | 46% | 18% | 3% | - | - | |
| 44 | ZHANG Zixian (Shawn) | 2% | 12% | 29% | 33% | 18% | 5% | 1% |
| 44 | BEZRODNOV Alexander | - | - | 2% | 13% | 35% | 37% | 12% |
| 46 | SKORUPAN Grant | - | - | 3% | 21% | 40% | 28% | 6% |
| 47 | NOVOJILOV Alexei | - | 4% | 16% | 30% | 30% | 15% | 3% |
| 48 | LAI Aiden | 22% | 47% | 26% | 5% | - | - | - |
| 48 | OTTO Nathaniel B. | 18% | 41% | 30% | 9% | 1% | - | - |
| 50 | ALKEMA Benjamin | 9% | 36% | 41% | 12% | 1% | - | - |
| 51 | ZHANG Ryan | 4% | 23% | 38% | 26% | 8% | 1% | - |
| 52 | BAKULEV Andrey | - | 4% | 18% | 36% | 31% | 10% | 1% |
| 53 | FRIEDMAN Leo D. | - | 4% | 20% | 39% | 28% | 8% | 1% |
| 54 | ZHOU Andrew | 26% | 40% | 25% | 8% | 1% | - | - |
| 55 | PARK Nicholas | - | 4% | 16% | 33% | 31% | 14% | 2% |
| 56 | NESTERCZUK Maddox W. | 29% | 43% | 22% | 5% | 1% | - | - |
| 57 | XIE Brandon | 4% | 19% | 33% | 28% | 13% | 3% | - |
| 58 | CHANG Benjamin | 5% | 27% | 42% | 21% | 5% | - | - |
| 59 | CHEN Jun Ho | 21% | 43% | 28% | 7% | 1% | - | |
| 60 | STEPHENSON Jacob | 48% | 39% | 11% | 1% | - | - | - |
| 61 | WANG Max S | 35% | 45% | 18% | 2% | - | - | - |
| 62 | MING Isaac | 32% | 41% | 21% | 5% | 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.