Rockland Community College, Eugene Levy Field House - 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 | WU Jonathan | - | - | - | 1% | 9% | 36% | 53% |
| 2 | IARIKOV Nicholas | - | - | 1% | 6% | 24% | 43% | 27% |
| 3 | LAI Aedin | - | - | - | 3% | 16% | 41% | 39% |
| 3 | DOYON - VERDON William | - | - | 1% | 8% | 38% | 53% | |
| 5 | MACARTY Jordan T. | - | - | - | 1% | 6% | 32% | 61% |
| 6 | SVERDLOV Seth | - | - | - | 5% | 22% | 43% | 29% |
| 7 | PARK Nicholas | - | 1% | 7% | 29% | 47% | 16% | |
| 8 | CAUCHY Eliot | - | - | 3% | 14% | 34% | 36% | 13% |
| 9 | DUKO Phillip | 1% | 7% | 22% | 35% | 26% | 9% | 1% |
| 10 | SAVORETTI Francesco | - | - | 1% | 7% | 25% | 41% | 26% |
| 11 | SOKOL Luke | - | 2% | 12% | 29% | 35% | 19% | 4% |
| 12 | LIU Yueri | - | 1% | 8% | 26% | 37% | 23% | 5% |
| 13 | NORMILE Nicholas | - | 1% | 5% | 18% | 33% | 32% | 12% |
| 14 | BRODSKY Julian | - | - | 2% | 15% | 36% | 35% | 11% |
| 15 | KARIMOV Amir | - | 1% | 10% | 31% | 37% | 18% | 3% |
| 16 | DOUBOV Andrew | - | 2% | 12% | 29% | 35% | 18% | 3% |
| 17 | MANN Jake R. | - | - | - | 1% | 9% | 46% | 44% |
| 18 | TSE Maxwell | - | 1% | 9% | 27% | 37% | 21% | 4% |
| 19 | WOLFE Alex | - | - | - | 1% | 9% | 37% | 53% |
| 20 | SONG Troy | - | - | 3% | 14% | 33% | 36% | 14% |
| 21 | LEE Aiden | 3% | 16% | 34% | 32% | 13% | 2% | |
| 22 | LAI Boden | - | - | 1% | 5% | 22% | 42% | 29% |
| 23 | REPIC Oliver | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 24 | HU Robert J. | - | - | 4% | 18% | 38% | 33% | 7% |
| 25 | TIKHOMIROV Theodore | - | - | 2% | 10% | 31% | 41% | 17% |
| 26 | DURKIN Tristan E. | - | 3% | 15% | 34% | 35% | 13% | |
| 27 | RATUSHNYI Georgii | - | 3% | 18% | 36% | 31% | 11% | 1% |
| 28 | LEE Aiden | - | 1% | 8% | 27% | 38% | 22% | 4% |
| 29 | KRISHNAN Skanda | - | 1% | 6% | 21% | 37% | 30% | 6% |
| 30 | ORESKOVIC Olivier | 17% | 40% | 32% | 10% | 1% | - | |
| 31 | WANG Tony | - | 5% | 23% | 38% | 26% | 7% | 1% |
| 32 | SHOUSHA Yassin | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
| 33 | BEALS Alden | - | 1% | 5% | 21% | 37% | 29% | 7% |
| 34 | DOYON - VERDON Gabriel | - | - | - | 1% | 14% | 51% | 34% |
| 35 | CHEN Jayden | - | 5% | 22% | 37% | 27% | 8% | 1% |
| 36 | CHEN Leonardo | - | - | 1% | 7% | 26% | 42% | 24% |
| 37 | CHEN Jun Ho | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 38 | GOON Tristan Yang | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
| 39 | SHA Michael | - | - | 4% | 19% | 38% | 32% | 6% |
| 39 | ANAFI Ari | - | 3% | 17% | 35% | 31% | 12% | 2% |
| 41 | EVANS Joseph | 9% | 30% | 36% | 19% | 5% | 1% | - |
| 42 | ALEXANDER Christopher | 1% | 12% | 38% | 33% | 12% | 2% | - |
| 43 | YU Samuel | 1% | 10% | 30% | 36% | 19% | 4% | - |
| 44 | TESFAYE Elias | 7% | 27% | 36% | 22% | 7% | 1% | - |
| 45 | CHEN YiHeng | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 46 | NGO-D'ANDRE Nicolas | 3% | 17% | 34% | 30% | 13% | 3% | - |
| 47 | LIU Adam | - | 4% | 17% | 35% | 33% | 11% | |
| 48 | WONG King-Yee | - | 3% | 17% | 35% | 31% | 12% | 2% |
| 49 | SUBRAMANIAM Sahil | 2% | 33% | 43% | 19% | 3% | - | - |
| 50 | TRAN Spencer | - | 2% | 16% | 39% | 34% | 8% | - |
| 51 | SUN Lucas | 6% | 24% | 36% | 25% | 8% | 1% | - |
| 52 | DAN Rex | 4% | 20% | 39% | 30% | 7% | 1% | |
| 53 | DOWD Peter L. | 2% | 16% | 34% | 31% | 13% | 2% | - |
| 53 | LEE Anton | 13% | 32% | 33% | 17% | 5% | 1% | - |
| 55 | HEADRICK Jack | - | 5% | 19% | 36% | 30% | 9% | 1% |
| 56 | BOUDREAUX James | - | 1% | 7% | 23% | 36% | 26% | 7% |
| 56 | CHEN Luowen | - | 4% | 18% | 36% | 31% | 10% | 1% |
| 58 | ZANELLI Ben | 1% | 9% | 26% | 35% | 22% | 6% | - |
| 59 | XIA Dashan | - | 1% | 5% | 18% | 35% | 31% | 10% |
| 60 | PAN Anthony | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 61 | XIE Brandon | - | 5% | 20% | 37% | 29% | 8% | |
| 62 | HOWELL Liam | 10% | 33% | 36% | 17% | 4% | - | - |
| 63 | CHEN Edward | 27% | 42% | 24% | 6% | 1% | - | - |
| 64 | MEN Junda | - | 3% | 13% | 28% | 32% | 19% | 4% |
| 65 | SAVORETTI Pietro | - | 3% | 17% | 36% | 32% | 11% | 1% |
| 65 | ZOGRAFOS Nicholas | 5% | 21% | 33% | 26% | 11% | 3% | - |
| 67 | POCHATKO Christian | 2% | 13% | 32% | 34% | 16% | 3% | - |
| 68 | RVACHEV Michael | 15% | 38% | 32% | 12% | 2% | - | |
| 69 | MASTAKOURIS Petros-Stone | 1% | 9% | 30% | 36% | 20% | 5% | - |
| 70 | RIM Eugene | - | 6% | 29% | 44% | 19% | 2% | - |
| 71 | JAMISON Tre | 3% | 18% | 33% | 30% | 13% | 3% | - |
| 72 | LI Jade | 4% | 21% | 35% | 28% | 10% | 2% | - |
| 73 | LIN Nathan | 2% | 16% | 36% | 31% | 12% | 2% | - |
| 74 | HELMY Richard | 1% | 19% | 39% | 30% | 10% | 1% | - |
| 75 | LIN Junyi | 3% | 23% | 39% | 26% | 8% | 1% | - |
| 76 | MANTINAOS Constantinos | 1% | 16% | 41% | 33% | 9% | 1% | - |
| 77 | LEE Wyatt | 17% | 43% | 29% | 9% | 1% | - | - |
| 78 | WHEELER Jackson | 14% | 38% | 34% | 12% | 2% | - | |
| 79 | ACAR Devin | 22% | 40% | 27% | 9% | 2% | - | - |
| 80 | GUMEDELLI Mohnish | 11% | 38% | 35% | 13% | 2% | - | - |
| 80 | AGUIRRE Diego | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 82 | AGRAWAL Krishna | 36% | 45% | 16% | 3% | - | - | - |
| 83 | DAGLI Sai | 33% | 43% | 20% | 4% | - | - | - |
| 84 | NILSEN Mark | 23% | 41% | 27% | 8% | 1% | - | |
| 85 | AU Joshua | 75% | 23% | 2% | - | - | - | - |
| 86 | LIU Jeremiah W. | 1% | 6% | 22% | 35% | 26% | 9% | 1% |
| 87 | LYCHKO Maksym | 8% | 29% | 36% | 20% | 6% | 1% | - |
| 88 | HE Lingyun Matthew | 8% | 30% | 39% | 19% | 3% | - | |
| 89 | WANG Charles | 16% | 37% | 31% | 13% | 2% | - | - |
| 89 | JOEL Irenov | 17% | 44% | 29% | 8% | 1% | - | - |
| 89 | LEE Henry | 38% | 42% | 17% | 3% | - | - | - |
| 89 | MORSS Dashiell | 36% | 43% | 17% | 3% | - | - | - |
| 89 | GU Eric | 30% | 51% | 17% | 2% | - | - | - |
| 94 | URBAN Leo | 86% | 14% | 1% | - | - | - | - |
| 95 | TINAWI Luay | 24% | 42% | 26% | 7% | 1% | - | - |
| 96 | KIM Samuel | 46% | 41% | 12% | 2% | - | - | - |
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.