Rockland Community College, Eugene Levy Field House - Suffern, NY, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | BOUDREAUX James | 100% | 100% | 100% | 100% | 98% | 79% | 16% |
| 2 | MIDYANY Evan | 100% | 100% | 100% | 99% | 87% | 49% | 11% |
| 3 | AHMED Mohsen | 100% | 100% | 99% | 91% | 62% | 21% | |
| 3 | TRAN Spencer | 100% | 100% | 100% | 100% | 98% | 84% | 44% |
| 5 | BAJAJ Nakul | 100% | 100% | 96% | 76% | 35% | 5% | |
| 6 | YAMAGUCHI Yuzuki | 100% | 100% | 99% | 88% | 56% | 16% | |
| 7 | DUKO Phillip | 100% | 100% | 99% | 93% | 68% | 26% | |
| 8 | KIM Henry | 100% | 100% | 100% | 99% | 94% | 73% | 32% |
| 9 | SOLARZ Arthur | 100% | 100% | 99% | 94% | 74% | 36% | 7% |
| 10 | MILINKOVIC Maksim | 100% | 99% | 92% | 65% | 27% | 4% | |
| 11 | LIU Ethan | 100% | 100% | 95% | 74% | 35% | 6% | - |
| 12 | TU Jinqi | 100% | 100% | 100% | 98% | 89% | 63% | 23% |
| 13 | LONG Kevin | 100% | 100% | 94% | 69% | 31% | 6% | |
| 14 | O'LONGAIGH Sunkhar | 100% | 100% | 98% | 85% | 53% | 15% | |
| 15 | ZENG Andrew | 100% | 100% | 100% | 99% | 92% | 63% | 15% |
| 16 | HELMY Richard | 100% | 100% | 92% | 63% | 25% | 4% | |
| 17 | GAO Victor | 100% | 100% | 99% | 92% | 69% | 33% | 7% |
| 18 | BRADSHAW Carter | 100% | 100% | 100% | 98% | 85% | 43% | |
| 19 | ORESKOVIC Olivier | 100% | 100% | 99% | 91% | 67% | 31% | 6% |
| 20 | DOUBOV Andrew | 100% | 100% | 100% | 99% | 93% | 70% | 28% |
| 21 | OPERT Emmett | 100% | 100% | 100% | 100% | 99% | 90% | 55% |
| 22 | GREENFIELD Caleb | 100% | 100% | 99% | 91% | 63% | 20% | |
| 23 | BHARGAVA Siddharth | 100% | 100% | 99% | 92% | 67% | 25% | |
| 24 | ALEXANDER Christopher | 100% | 100% | 99% | 89% | 57% | 15% | |
| 25 | PARIGIAN Alexander | 100% | 100% | 98% | 86% | 54% | 16% | |
| 26 | DEGRUCCIO Johnny | 100% | 99% | 90% | 59% | 21% | 3% | |
| 27 | LI Morgan | 100% | 98% | 86% | 54% | 18% | 2% | |
| 28 | MOZZER Nolan | 100% | 93% | 65% | 27% | 6% | - | |
| 29 | LEVESQUE Gabriel | 100% | 92% | 62% | 25% | 5% | - | |
| 30 | PAN Anthony | 100% | 99% | 93% | 71% | 35% | 8% | |
| 31 | CRESPO Nathaniel Justus | 100% | 99% | 87% | 57% | 22% | 4% | - |
| 32 | NG Nico | 100% | 99% | 88% | 59% | 22% | 3% | - |
| 33 | KIM Zac | 100% | 100% | 97% | 83% | 52% | 19% | 2% |
| 34 | KRUPENKO Gael | 100% | 100% | 99% | 94% | 74% | 37% | 7% |
| 35 | LY Samuel | 100% | 100% | 100% | 99% | 94% | 71% | 27% |
| 36 | LI Ray | 100% | 96% | 77% | 40% | 11% | 1% | |
| 37 | CAO Gavin | 100% | 98% | 86% | 59% | 26% | 6% | 1% |
| 38 | BHANDARE Veer | 100% | 94% | 64% | 26% | 5% | 1% | - |
| 39 | LI Jade | 100% | 100% | 98% | 85% | 54% | 20% | 3% |
| 40 | DURKIN Hudson | 100% | 100% | 100% | 98% | 85% | 45% | |
| 41 | ARMSTRONG Payson | 100% | 100% | 88% | 53% | 16% | 1% | |
| 42 | WITHERELL Logan | 100% | 97% | 79% | 42% | 10% | 1% | |
| 43 | DANILOV Artur | 100% | 100% | 90% | 59% | 23% | 4% | |
| 44 | CHEN Daniel | 100% | 100% | 98% | 85% | 54% | 19% | 2% |
| 45 | CHANG Ian | 100% | 98% | 85% | 51% | 17% | 2% | - |
| 46 | LEE Henry | 100% | 99% | 90% | 63% | 29% | 7% | 1% |
| 47 | HE Yurui | 100% | 98% | 84% | 51% | 18% | 3% | - |
| 47 | ROBINSON Garrett | 100% | 99% | 89% | 59% | 21% | 3% | - |
| 49 | DYCKMAN Benjamin | 100% | 99% | 89% | 58% | 23% | 5% | - |
| 50 | ROSIELLO Francesco | 100% | 93% | 65% | 28% | 6% | 1% | - |
| 51 | AGUIRRE Pablo | 100% | 99% | 88% | 58% | 23% | 4% | - |
| 52 | NOOL Alexander | 100% | 99% | 91% | 66% | 32% | 8% | 1% |
| 53 | LAVIN Ethan | 100% | 100% | 100% | 99% | 92% | 68% | 27% |
| 54 | CHEN Edward | 100% | 96% | 76% | 38% | 9% | 1% | |
| 55 | GUMEDELLI Mohnish | 100% | 99% | 92% | 66% | 28% | 4% | |
| 56 | LUR'YE Killian | 100% | 91% | 53% | 17% | 3% | - | |
| 57 | SHAPIRO Samuel | 100% | 92% | 62% | 24% | 4% | - | |
| 58 | MIDYANY Ryan | 100% | 100% | 95% | 72% | 33% | 6% | |
| 59 | YU David | 100% | 94% | 56% | 18% | 3% | - | |
| 60 | LUO Alexander | 100% | 100% | 96% | 80% | 45% | 14% | 2% |
| 61 | CUELLAR Markus | 100% | 87% | 50% | 15% | 2% | - | - |
| 62 | RADZIKOWSKI Sam | 100% | 100% | 93% | 66% | 27% | 4% | |
| 63 | WANG-SONG Evan | 100% | 99% | 88% | 59% | 23% | 4% | |
| 64 | WANG Marcus | 100% | 92% | 64% | 28% | 7% | 1% | - |
| 65 | FRIZZELL Kai | 100% | 99% | 87% | 56% | 21% | 4% | - |
| 66 | OCONNOR Paul | 100% | 97% | 81% | 47% | 17% | 3% | - |
| 67 | HANNA Alexander | 100% | 83% | 40% | 10% | 1% | - | - |
| 68 | ZHANG Jonathan | 100% | 100% | 95% | 74% | 38% | 10% | 1% |
| 69 | HONG Ethen | 100% | 96% | 77% | 43% | 14% | 2% | - |
| 70 | CHO Adrian | 100% | 83% | 43% | 12% | 1% | - | |
| 71 | KIM Louie | 100% | 24% | 2% | - | - | - | |
| 72 | WU Matthew | 100% | 95% | 71% | 33% | 8% | 1% | |
| 73 | FENG Xinmin | 100% | 70% | 28% | 6% | 1% | - | |
| 74 | CHUNG Jesse | 100% | 95% | 72% | 35% | 8% | 1% | |
| 75 | LEE Kalvin | 100% | 68% | 25% | 5% | - | - | |
| 76 | TSIEN Richard | 100% | 98% | 87% | 58% | 23% | 4% | - |
| 77 | FOGEL Jake | 100% | 91% | 59% | 22% | 4% | - | - |
| 78 | LEE Harrison | 100% | 100% | 94% | 75% | 41% | 13% | 2% |
| 78 | POWELL Horatio | 100% | 91% | 59% | 23% | 5% | 1% | - |
| 80 | LEE Ryan | 100% | 54% | 15% | 2% | - | - | - |
| 81 | PREVOST Landon | 100% | 98% | 87% | 59% | 25% | 5% | - |
| 82 | TURLIK Midas | 100% | 82% | 45% | 15% | 3% | - | |
| 82 | MCGANN Grant | 100% | 43% | 8% | 1% | - | - | |
| 84 | NABI Mikhail | 100% | 32% | 4% | - | - | - | |
| 85 | AU Joshua | 100% | 100% | 93% | 65% | 25% | 4% | |
| 86 | GRANT Aidan | 100% | 80% | 38% | 9% | 1% | - | |
| 87 | MALLAKIS Efstathios | 100% | 85% | 49% | 17% | 3% | - | - |
| 87 | SHI Evan | 100% | 56% | 16% | 2% | - | - | - |
| 87 | ROBINSON Blake | 100% | 64% | 22% | 4% | - | - | - |
| 90 | BRESLAV Asher | 100% | 66% | 23% | 4% | - | - | - |
| 91 | MAZEL Antonin | 100% | 65% | 23% | 4% | - | - | - |
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.