Floyd Little Athletic Center - New Haven, CT, 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 Ethan F. | - | - | - | - | 6% | 31% | 63% |
| 2 | MICLAUS Justin | - | - | - | 1% | 10% | 38% | 51% |
| 3 | BABAYEV Gabriel A. | - | - | - | 1% | 6% | 31% | 63% |
| 3 | HUANG Alex F. | - | 1% | 8% | 26% | 40% | 24% | |
| 5 | OH Triton | - | - | - | 3% | 15% | 41% | 41% |
| 6 | SHOMAN Zachary | - | - | - | 2% | 16% | 44% | 37% |
| 7 | SHAHZAD Azlan A. | - | 1% | 6% | 23% | 43% | 27% | |
| 8 | LIU Kevin | - | 1% | 10% | 31% | 38% | 16% | 2% |
| 9 | WAXLER Seth B. | - | - | 2% | 16% | 37% | 34% | 10% |
| 10 | KIM Shaun M. | - | - | - | 1% | 6% | 32% | 61% |
| 11 | SHOMAN Noah | - | - | 1% | 6% | 22% | 42% | 30% |
| 12 | LIN Maxim | - | 1% | 9% | 27% | 37% | 22% | 4% |
| 13 | PENG Bryan | - | - | 1% | 8% | 27% | 40% | 23% |
| 14 | ZHAO Lucas | 1% | 7% | 26% | 37% | 24% | 6% | - |
| 15 | RYAN Kai | 13% | 34% | 33% | 16% | 3% | - | |
| 16 | HUANG Tom | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 17 | BAE Jason I. | - | - | - | 2% | 15% | 42% | 40% |
| 18 | FIELDS Matthew S. | - | 1% | 5% | 19% | 36% | 30% | 9% |
| 19 | VARUKATTY-GAFOOR Sohil | - | - | 1% | 7% | 25% | 43% | 24% |
| 20 | FRANCOIS Alexander C. | - | 3% | 14% | 32% | 34% | 15% | 2% |
| 21 | KUSHKOV Daniel | - | - | 1% | 6% | 24% | 44% | 25% |
| 22 | POSY Daniel | - | 1% | 8% | 24% | 37% | 25% | 5% |
| 23 | NOURELDIN Gabriel | - | 2% | 9% | 25% | 35% | 23% | 5% |
| 24 | DEPEW Spencer | - | - | 4% | 18% | 37% | 32% | 9% |
| 25 | MCCARTHY Gabriel | - | - | 3% | 15% | 36% | 35% | 11% |
| 25 | STAMIS Kyle | - | 1% | 12% | 36% | 35% | 14% | 2% |
| 27 | SHIRPAL Oleksandr | - | - | 1% | 7% | 26% | 42% | 24% |
| 28 | KATZ Ryan | - | 1% | 8% | 27% | 39% | 22% | 3% |
| 29 | LIN Philip T. | - | 6% | 24% | 38% | 25% | 6% | 1% |
| 30 | MUNGOVAN Matthew | 1% | 9% | 26% | 36% | 22% | 6% | - |
| 31 | PINTO Marcus | 1% | 12% | 31% | 35% | 18% | 4% | - |
| 32 | MORALES Jonathan | - | - | 2% | 16% | 38% | 34% | 10% |
| 33 | PRIMUS Nazir | - | - | 1% | 5% | 22% | 43% | 30% |
| 34 | SUGIURA Samuel | - | 1% | 8% | 27% | 39% | 23% | 3% |
| 35 | CHOKSI Vihaan | - | 5% | 23% | 37% | 26% | 8% | 1% |
| 36 | HUANG Connor | - | 2% | 11% | 31% | 40% | 16% | |
| 37 | WANG Daniel | 1% | 10% | 28% | 35% | 21% | 5% | |
| 38 | SAHAY Kenji | - | 1% | 5% | 21% | 38% | 29% | 6% |
| 39 | BADUSHOV Anton | 3% | 14% | 31% | 32% | 16% | 4% | - |
| 40 | DIMATTEO Michael | 8% | 30% | 38% | 20% | 5% | - | - |
| 41 | LIGH Checed | 12% | 33% | 34% | 16% | 4% | - | - |
| 42 | AO Christopher | 21% | 41% | 29% | 8% | 1% | - | - |
| 43 | BROU Inkosi | 2% | 12% | 30% | 34% | 18% | 4% | |
| 44 | HU Christopher | - | 1% | 8% | 25% | 38% | 25% | 4% |
| 45 | BHATIA Ekam | 1% | 13% | 43% | 33% | 10% | 1% | - |
| 46 | MEDVEDEV Michail D. | - | 1% | 5% | 22% | 40% | 28% | 4% |
| 47 | MARGULIS Jared | 15% | 39% | 33% | 11% | 2% | - | - |
| 48 | ENGEL Peter | - | 1% | 7% | 25% | 38% | 24% | 5% |
| 49 | SMINK Oliver | 1% | 11% | 28% | 34% | 20% | 5% | - |
| 50 | BRANDT Jaden | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 50 | GONG Jerry | - | 5% | 20% | 36% | 29% | 9% | 1% |
| 50 | TOZZI Massimo | 4% | 20% | 35% | 28% | 11% | 2% | - |
| 53 | TSAO Oliver | 6% | 24% | 37% | 25% | 7% | 1% | |
| 54 | DOWNEY Baran | 4% | 20% | 35% | 29% | 11% | 2% | |
| 55 | CHUNG Connor | - | 3% | 16% | 33% | 31% | 14% | 2% |
| 56 | SHIPITSIN Alexander | 1% | 8% | 26% | 36% | 23% | 6% | - |
| 57 | DUMOULIN Gabriel | - | 11% | 33% | 36% | 16% | 3% | - |
| 58 | SHELMIDINE Cole | 39% | 41% | 16% | 3% | - | - | - |
| 59 | NGUYEN Anthony | 1% | 6% | 20% | 34% | 28% | 11% | 1% |
| 60 | YOSHEA Henry | 19% | 43% | 30% | 7% | 1% | - | - |
| 61 | GONG zihao | 1% | 10% | 32% | 36% | 17% | 4% | - |
| 62 | WEBER Mattias A. | - | 2% | 11% | 32% | 37% | 17% | 2% |
| 63 | WAGNER Calvin | 6% | 27% | 37% | 22% | 6% | 1% | - |
| 64 | RAMIREZ Nicholas | 39% | 41% | 16% | 3% | - | - | - |
| 65 | SIMMONS John M. | 6% | 27% | 37% | 23% | 7% | 1% | - |
| 66 | RIDKY Sam | 4% | 22% | 37% | 27% | 9% | 1% | |
| 67 | WITCZAK Mateus | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 68 | LAUB William | - | 11% | 33% | 36% | 17% | 3% | - |
| 69 | ZHU Shao | - | 5% | 21% | 36% | 28% | 9% | 1% |
| 70 | DESAUTELS Connor | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 70 | JIN David | 59% | 33% | 7% | 1% | - | - | - |
| 72 | EYBELMAN Ariel | - | 4% | 18% | 36% | 30% | 10% | 1% |
| 73 | KESSLER Nathan | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 74 | POWER Alex | 14% | 36% | 33% | 14% | 3% | - | - |
| 75 | CUSUMANO Neal | 5% | 32% | 39% | 19% | 4% | - | - |
| 76 | SHINCHUK Daniel | 1% | 18% | 39% | 31% | 11% | 1% | - |
| 77 | KESSLER Josh | 2% | 14% | 31% | 32% | 17% | 4% | - |
| 78 | O'LOUGHLIN Quinlan | 10% | 37% | 39% | 12% | 1% | - | - |
| 79 | BOULAIS Andrew D. | 1% | 5% | 20% | 35% | 29% | 9% | 1% |
| 80 | NOTOPRADONO Nicholas | 7% | 31% | 40% | 18% | 3% | - | - |
| 81 | SASSI Ilyas | 16% | 39% | 32% | 11% | 2% | - | - |
| 82 | ATWOOD Griffin | 9% | 28% | 36% | 21% | 6% | 1% | |
| 83 | ZHENG LEON | 5% | 24% | 38% | 25% | 7% | 1% | |
| 84 | SUBA Lucas | 23% | 41% | 27% | 8% | 1% | - | |
| 85 | LIN Steve | - | 6% | 25% | 38% | 25% | 7% | - |
| 86 | HENDERSON Lucas | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 87 | KEIPER Benjamin | 31% | 41% | 22% | 6% | 1% | - | - |
| 87 | SCHIMEL Luke | 36% | 44% | 17% | 3% | - | - | - |
| 89 | COURTIN Frederic | 21% | 45% | 26% | 7% | 1% | - | - |
| 90 | VILEMAITIS Tadas | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 91 | TSAO Alister | 13% | 55% | 27% | 5% | - | - | - |
| 92 | COUNTS Nicholas | 3% | 18% | 36% | 29% | 11% | 2% | - |
| 93 | WOLMART Zander | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 93 | HOWARD Demani | 10% | 31% | 35% | 18% | 4% | - | - |
| 95 | DICARLO Vincent | 70% | 27% | 2% | - | - | - | - |
| 96 | HAUSLER Jayden | 89% | 11% | 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.