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 | HUANG Alex F. | - | - | - | 1% | 10% | 41% | 48% |
| 2 | CHUNG Connor | - | - | - | 4% | 21% | 43% | 32% |
| 3 | BERA Enzo | - | - | 1% | 6% | 21% | 41% | 31% |
| 3 | GONG Jerry | - | - | 1% | 7% | 27% | 42% | 23% |
| 5 | KIM Ethan | - | - | - | 2% | 13% | 41% | 44% |
| 6 | CHEN Jonathan | - | 4% | 15% | 30% | 32% | 17% | 3% |
| 7 | WANG Jerry | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 8 | ZHAO Lucas | - | - | 4% | 15% | 32% | 34% | 14% |
| 9 | SLASTIN Andrew | - | - | - | 2% | 19% | 80% | |
| 10 | JENSBY Jason | - | - | 5% | 23% | 39% | 27% | 6% |
| 11 | CLARK Gabriel | 1% | 8% | 22% | 33% | 25% | 10% | 1% |
| 12 | MEHAN Nicholas | - | - | 2% | 12% | 30% | 38% | 19% |
| 13 | WANG Will | - | - | 2% | 12% | 30% | 37% | 18% |
| 14 | JI Johnson | 3% | 18% | 36% | 30% | 12% | 2% | - |
| 15 | HO Jacob | 1% | 9% | 25% | 34% | 23% | 8% | 1% |
| 16 | MCDONALD Finn | - | 6% | 22% | 36% | 27% | 8% | 1% |
| 17 | SAVOY Luca | - | - | - | 2% | 15% | 43% | 40% |
| 18 | WANG ANDREW CHANG | - | - | 1% | 7% | 25% | 42% | 24% |
| 19 | YOOK Isaac | - | 4% | 17% | 33% | 31% | 14% | 2% |
| 20 | NOTOPRADONO Nicholas | - | 1% | 9% | 29% | 37% | 20% | 4% |
| 21 | LIU Kevin | - | - | 1% | 9% | 29% | 41% | 19% |
| 22 | GONG Alex | - | - | 3% | 15% | 34% | 35% | 13% |
| 23 | LEE Andrew | - | 1% | 7% | 23% | 37% | 26% | 6% |
| 24 | SCHIMEL Luke | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 25 | SUN Andrew | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 26 | WAXLER Ryan | 1% | 5% | 20% | 35% | 29% | 10% | 1% |
| 27 | PRIEUR Christian F. | 2% | 12% | 33% | 37% | 16% | 1% | |
| 28 | DOMINIQUE Remson | - | 3% | 15% | 33% | 32% | 14% | 2% |
| 29 | AROUNA Ilan | 15% | 38% | 33% | 12% | 2% | - | |
| 30 | LIU Isaak | 1% | 8% | 27% | 36% | 22% | 6% | - |
| 31 | NGUYEN Anthony | - | 1% | 5% | 19% | 34% | 30% | 10% |
| 32 | KUMAR Arjun | 1% | 10% | 25% | 33% | 22% | 7% | 1% |
| 33 | ZHOU Grant | - | 4% | 19% | 38% | 31% | 8% | 1% |
| 34 | SUBA Lucas | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 35 | LIM Brandon | - | 1% | 7% | 26% | 38% | 23% | 5% |
| 36 | KIM Andrew | - | 1% | 8% | 27% | 37% | 22% | 5% |
| 37 | VAROQUA Nalby | - | 1% | 7% | 24% | 36% | 25% | 7% |
| 38 | ATWOOD Griffin | - | - | 3% | 15% | 36% | 36% | 10% |
| 39 | AO Christopher | - | 2% | 12% | 32% | 37% | 15% | 2% |
| 40 | KUSHKOV Daniel | - | - | - | 4% | 18% | 42% | 37% |
| 41 | CLARK Aram | - | - | 4% | 19% | 36% | 30% | 9% |
| 42 | PORTER Dupree | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
| 43 | ZHEXUAN yu | - | - | 1% | 6% | 26% | 48% | 19% |
| 44 | GRIECI Noah | - | 5% | 22% | 36% | 27% | 9% | 1% |
| 45 | BROENING-CHAI Jonas | 1% | 6% | 24% | 36% | 25% | 8% | 1% |
| 46 | POWER Alex | 1% | 6% | 23% | 39% | 25% | 6% | - |
| 47 | JONES Elijah | 1% | 10% | 26% | 34% | 22% | 7% | 1% |
| 48 | KMETA-SUAREZ Graysen | 6% | 30% | 37% | 20% | 6% | 1% | - |
| 49 | LIU Andrew | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 50 | ALAVE Kyle | 1% | 8% | 22% | 32% | 25% | 10% | 2% |
| 51 | FELDMAN Drew | - | 1% | 5% | 19% | 35% | 31% | 10% |
| 52 | MUNJULURI ruhaan | 2% | 15% | 31% | 31% | 16% | 4% | - |
| 53 | PINTO Marcus | - | - | 3% | 17% | 36% | 33% | 10% |
| 54 | ZHENG LEON | - | - | 5% | 24% | 40% | 26% | 5% |
| 54 | WEI William | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 56 | DUMOULIN Gabriel | - | 1% | 5% | 20% | 35% | 30% | 9% |
| 57 | SADHU Neiyam | 2% | 14% | 34% | 36% | 14% | 1% | |
| 58 | WANG Max | 2% | 13% | 34% | 36% | 14% | 1% | |
| 59 | HUANG Alexander C. | - | - | 1% | 8% | 30% | 44% | 17% |
| 60 | DE SIENA Salvatore | 4% | 20% | 35% | 28% | 11% | 2% | - |
| 61 | BOULAIS Andrew D. | - | 1% | 7% | 28% | 39% | 22% | 4% |
| 62 | SIMATOS Luka D. | 5% | 21% | 33% | 27% | 11% | 2% | - |
| 63 | LOSQUADRO Joseph | 25% | 41% | 25% | 7% | 1% | - | - |
| 64 | BANSAL Krishiv | 22% | 43% | 26% | 7% | 1% | - | - |
| 65 | TSAI Kash | 10% | 49% | 33% | 7% | 1% | - | - |
| 66 | HARRINGTON Connor | - | 4% | 15% | 31% | 32% | 16% | 3% |
| 67 | BERGER Jacob | - | 8% | 32% | 37% | 18% | 4% | - |
| 68 | DEMERS Bodhi | 11% | 49% | 31% | 8% | 1% | - | - |
| 69 | WONG Caleb W. | 2% | 13% | 28% | 32% | 19% | 5% | 1% |
| 70 | LIEUWMA Nico | 6% | 31% | 39% | 20% | 4% | - | - |
| 71 | MATTINGLY Ian | 5% | 25% | 39% | 24% | 6% | 1% | - |
| 72 | O'LOUGHLIN Quinlan | 2% | 16% | 35% | 32% | 13% | 2% | - |
| 73 | GREENE Kevin | 22% | 42% | 28% | 8% | 1% | - | - |
| 74 | BODKIN Jake M. | 1% | 6% | 21% | 34% | 27% | 10% | 2% |
| 75 | ROSADO Sebastian | 3% | 22% | 41% | 26% | 7% | 1% | - |
| 76 | BELAND Riley James "RJ" | 3% | 18% | 38% | 30% | 10% | 1% | - |
| 77 | DICARLO Vincent | 52% | 37% | 10% | 1% | - | - | - |
| 78 | KALOUDIS Sean | 7% | 28% | 36% | 22% | 6% | 1% | - |
| 79 | RAJMOHAN Arya | 23% | 42% | 27% | 7% | 1% | - | |
| 80 | COUNTS Nicholas | 1% | 8% | 26% | 35% | 23% | 6% | 1% |
| 81 | ZHAO Royce | 1% | 7% | 27% | 39% | 21% | 4% | - |
| 82 | KIM Theodore | - | < 1% | 5% | 22% | 37% | 27% | 7% |
| 83 | BAHK Caleb | 1% | 17% | 42% | 30% | 9% | 1% | - |
| 84 | WASCO Andrew | 28% | 44% | 22% | 5% | 1% | - | - |
| 85 | AMAGOWNI Dhruv | 22% | 39% | 27% | 9% | 2% | - | - |
| 86 | SAYAR Luke | 48% | 39% | 12% | 2% | - | - | - |
| 87 | KARAVAS Nicholas | 11% | 32% | 34% | 18% | 5% | 1% | - |
| 87 | VISH Manyu | 41% | 43% | 14% | 2% | - | - | - |
| 89 | NAYAK Surin K. | 5% | 24% | 36% | 25% | 9% | 2% | - |
| 90 | PEREIRA Beckham | 1% | 12% | 32% | 33% | 17% | 4% | - |
| 91 | KETT Richard | 21% | 40% | 28% | 10% | 2% | - | - |
| 92 | JIANG Terence | 17% | 44% | 30% | 8% | 1% | - | - |
| 92 | VINTFELD Cameron | 9% | 30% | 36% | 20% | 5% | 1% | - |
| 94 | YANG Byron | 20% | 43% | 28% | 7% | 1% | - | - |
| 95 | ZHANG Simon | 52% | 37% | 10% | 1% | - | - | - |
| 96 | VARKI Simon | 73% | 25% | 2% | - | - | - | - |
| 97 | KULKARNI Ishir | 70% | 27% | 3% | - | - | - | - |
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.