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 | OH Aster | - | - | 1% | 8% | 30% | 45% | 16% |
| 2 | LOO Jason | - | 1% | 4% | 16% | 33% | 33% | 13% |
| 3 | LEE Griffin | - | - | 3% | 14% | 33% | 36% | 14% |
| 3 | NGO Emerson | - | 1% | 7% | 25% | 37% | 25% | 6% |
| 5 | CIEMINS Henry | - | - | 4% | 16% | 34% | 34% | 11% |
| 6 | SALDARINI Glenn | - | - | 5% | 22% | 40% | 27% | 6% |
| 7 | PORTER Dupree | - | - | 4% | 18% | 35% | 32% | 11% |
| 8 | HENDERSON Lucas | - | - | 2% | 9% | 28% | 40% | 21% |
| 9 | CLARK Aram | - | - | 2% | 16% | 38% | 34% | 10% |
| 9 | SUN Andrew | - | - | 2% | 10% | 27% | 38% | 22% |
| 11 | WANG Michael | - | - | 2% | 11% | 28% | 38% | 21% |
| 12 | WELSTEAD Nicholas | - | 1% | 5% | 17% | 32% | 32% | 13% |
| 13 | BROENING-CHAI Jonas | - | - | 1% | 5% | 21% | 42% | 31% |
| 14 | ALAVE Kyle | - | - | - | 3% | 16% | 41% | 40% |
| 15 | ONUGHA II Emeka | - | 4% | 17% | 34% | 33% | 12% | |
| 16 | GAO Kai | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 17 | SRIVATS Vedh | - | - | - | 5% | 22% | 44% | 29% |
| 18 | ZHANG Ray | - | 4% | 16% | 35% | 33% | 12% | 1% |
| 19 | KOZLOV Lucas | - | - | 1% | 10% | 31% | 41% | 17% |
| 20 | GORDON Samuel | - | 4% | 15% | 30% | 32% | 16% | 3% |
| 21 | AGARWAAL Yohan | - | 2% | 9% | 24% | 34% | 25% | 7% |
| 22 | KHANNA Adamantis | - | - | 4% | 20% | 42% | 34% | |
| 23 | LIEBOWITZ Carson | - | 5% | 19% | 35% | 31% | 10% | |
| 24 | CHENG Sawyer | - | - | 5% | 21% | 36% | 29% | 8% |
| 25 | KIM Daehwan(Benjamin) | - | 2% | 11% | 29% | 36% | 19% | 3% |
| 26 | LIU ERIC | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 27 | SHEYNZON Benjamin | 15% | 34% | 32% | 15% | 4% | 1% | - |
| 28 | YANG Haoyuan | - | - | - | 2% | 13% | 44% | 42% |
| 29 | MERMEGAS Alexander | - | 1% | 7% | 24% | 37% | 25% | 5% |
| 30 | LAMTAN Christoffer | 1% | 16% | 36% | 33% | 12% | 2% | |
| 31 | AROUNA Ilan | 2% | 19% | 39% | 30% | 10% | 1% | |
| 32 | REILLY Xavier | 7% | 27% | 37% | 22% | 6% | 1% | - |
| 33 | KENNEDY Tomás | - | 1% | 8% | 24% | 37% | 25% | 5% |
| 34 | WANG tiger | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 35 | COGLIANO Max | 1% | 10% | 27% | 35% | 21% | 5% | |
| 36 | LORENZ Evan | - | 2% | 11% | 29% | 36% | 19% | 3% |
| 37 | SAGE Nikolai | - | 1% | 9% | 29% | 38% | 20% | 3% |
| 38 | PATEL Arush | 4% | 19% | 34% | 28% | 12% | 2% | - |
| 39 | SAYAR Luke | 1% | 8% | 24% | 34% | 25% | 8% | 1% |
| 40 | SHINCHUK Jacob | 2% | 17% | 36% | 31% | 12% | 2% | - |
| 40 | LEVIN Jacob | - | 1% | 6% | 21% | 35% | 29% | 8% |
| 42 | LOSQUADRO Joseph | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 43 | BROOKS Drake | 1% | 8% | 30% | 36% | 20% | 5% | - |
| 44 | SHAPIRO Simon | 1% | 14% | 35% | 35% | 14% | 2% | |
| 45 | MELE Gianni | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 46 | HOUPT Lucas | 5% | 23% | 35% | 26% | 10% | 2% | - |
| 47 | NIEJADLIK Samuel | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 48 | CUSSON William | 7% | 25% | 34% | 23% | 8% | 1% | - |
| 48 | LIN Brendan | - | 1% | 4% | 17% | 33% | 33% | 12% |
| 50 | NAYAGAM Nishant | 1% | 12% | 31% | 34% | 18% | 4% | - |
| 51 | LEE Blake | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 52 | KUSHKOV Michael | - | 3% | 16% | 36% | 32% | 11% | 1% |
| 53 | OREN Daniel | 3% | 16% | 34% | 32% | 14% | 2% | |
| 54 | HU Jayden | - | 1% | 7% | 25% | 37% | 24% | 6% |
| 55 | ZWAKA Jonas | 4% | 19% | 33% | 28% | 13% | 3% | - |
| 56 | MAPES Tanner | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 57 | FIROOZI Sam | 20% | 42% | 29% | 8% | 1% | - | - |
| 58 | SUH Leo | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 59 | QI Jiaji | - | 4% | 17% | 32% | 30% | 14% | 2% |
| 60 | IVRON Daniel | 21% | 39% | 28% | 10% | 2% | - | |
| 61 | ZHOU Nicola | 8% | 28% | 36% | 22% | 6% | 1% | |
| 62 | CHANG Timothy | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 63 | LAU Kyrus | 1% | 6% | 21% | 33% | 27% | 10% | 1% |
| 64 | BENNETT Lachlan | 1% | 13% | 32% | 34% | 16% | 3% | - |
| 65 | HAUSLER Jayden | 9% | 29% | 35% | 20% | 6% | 1% | - |
| 65 | BONEVELLY Nikolas | - | 1% | 7% | 24% | 36% | 26% | 7% |
| 67 | MATTOO Dhruv | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
| 68 | D'AMELJ Edoardo | 1% | 10% | 33% | 36% | 16% | 3% | - |
| 69 | LIANG Morgan | 1% | 8% | 23% | 33% | 25% | 10% | 1% |
| 70 | KU Alexander | 4% | 19% | 33% | 29% | 13% | 3% | - |
| 71 | LEE Ryan | - | 3% | 16% | 37% | 35% | 10% | |
| 72 | MHLEY Gavin | 1% | 9% | 26% | 33% | 22% | 7% | 1% |
| 73 | CAREY Sam | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 74 | DOSTAL Maximilian | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 75 | YANG Byron | 5% | 22% | 37% | 27% | 9% | 1% | - |
| 76 | GERTSBERG Eli | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
| 77 | ZARA Lucas | - | 1% | 6% | 23% | 38% | 26% | 6% |
| 78 | BOSSEN Daniel | 1% | 14% | 35% | 33% | 14% | 3% | - |
| 79 | FREILICH Harrison | 19% | 46% | 27% | 7% | 1% | - | - |
| 80 | WEI Hunter | 2% | 14% | 30% | 32% | 17% | 5% | - |
| 81 | KURIYAMA Marcus | 24% | 39% | 26% | 9% | 2% | - | - |
| 82 | BURENKOV Matthew | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 83 | LEIGH Brayden | 18% | 38% | 31% | 11% | 2% | - | - |
| 84 | MENZIES Liam | 13% | 45% | 32% | 9% | 1% | - | - |
| 84 | VISH Manyu | 9% | 33% | 38% | 16% | 3% | - | - |
| 86 | SMITH Jackson | 14% | 34% | 33% | 15% | 4% | - | - |
| 87 | JIA Charles | 13% | 34% | 34% | 16% | 4% | - | - |
| 88 | ROGOFF Arlo | 44% | 43% | 12% | 2% | - | - | - |
| 89 | TITOV Zachary | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 89 | EARLEY Jack | 19% | 42% | 30% | 8% | 1% | - | - |
| 91 | CHEN Kevin | 69% | 27% | 4% | - | - | - | |
| 92 | CHUNG Loden | 23% | 40% | 27% | 8% | 1% | - | - |
| 92 | CHEN Vince | 59% | 33% | 7% | 1% | - | - | - |
| 92 | LIU Jayden | 1% | 10% | 27% | 35% | 21% | 5% | - |
| 92 | HAIRABEDIAN Ellis | 31% | 41% | 21% | 6% | 1% | - | - |
| 96 | LEE Korbon | 60% | 34% | 5% | - | - | - | - |
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.