Secaucus, NJ - Secaucus, NJ, 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 | DENNER Lysander H. | - | - | - | 4% | 24% | 45% | 27% |
| 2 | HARRIS Alex K. | - | - | - | 5% | 25% | 48% | 22% |
| 3 | DENNER Maximilian P. | 1% | 9% | 31% | 39% | 18% | 3% | |
| 3 | PAN Jerry | - | - | 2% | 11% | 34% | 39% | 14% |
| 5 | MORREALE John | - | 1% | 6% | 23% | 42% | 29% | |
| 6 | YANG Richard | 1% | 8% | 22% | 33% | 25% | 10% | 1% |
| 7 | LEVIN Mark A. | - | - | 2% | 10% | 28% | 38% | 22% |
| 8 | LIN William | 1% | 9% | 24% | 33% | 23% | 8% | 1% |
| 9 | SILBERZWEIG Jordan H. | - | - | - | - | 3% | 24% | 73% |
| 10 | PAN Jack (Yuxiang) | - | 4% | 23% | 40% | 27% | 6% | |
| 11 | CHIEN Phillip L. | - | 4% | 17% | 35% | 33% | 11% | |
| 12 | WUN William | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 13 | NG Jonathan H. | - | 1% | 7% | 28% | 43% | 19% | 3% |
| 14 | JUN Ryan | 2% | 13% | 32% | 34% | 16% | 3% | - |
| 15 | HUANG Eric | 2% | 14% | 33% | 33% | 15% | 2% | |
| 16 | CHAMBERS Amir E. | - | - | 1% | 9% | 29% | 41% | 20% |
| 17 | KIM Avery J. | - | 3% | 14% | 32% | 36% | 15% | |
| 18 | LILOV Neil | - | - | 5% | 22% | 44% | 29% | |
| 19 | YAO Jonathan | - | - | 3% | 15% | 34% | 35% | 13% |
| 20 | MOSKOWITZ Mason C. | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 21 | WALKER Robert Connor | 11% | 31% | 34% | 18% | 5% | 1% | - |
| 22 | LUO ZiRui | - | 1% | 7% | 24% | 36% | 25% | 7% |
| 23 | GREENE Alexander J. | - | 3% | 16% | 36% | 34% | 11% | |
| 24 | SIMAK Joseph P. | 1% | 8% | 24% | 33% | 24% | 9% | 1% |
| 25 | LASORSA Matthew | - | 2% | 14% | 35% | 34% | 13% | 2% |
| 26 | LEONARD Cole | 1% | 6% | 20% | 32% | 27% | 12% | 2% |
| 27 | EPSTEIN Henry N. | - | 5% | 17% | 32% | 30% | 13% | 2% |
| 28 | MOSZCZYNSKI Adam | - | 1% | 7% | 28% | 43% | 20% | |
| 29 | SUBBIAH Prashanth V. | 1% | 9% | 28% | 38% | 21% | 4% | |
| 30 | JEAN Noe T. | 3% | 14% | 31% | 32% | 16% | 3% | |
| 31 | MAHONEY Colin M. | 4% | 19% | 34% | 29% | 12% | 2% | |
| 32 | ALKEMPER Tristan H. | 1% | 15% | 37% | 34% | 13% | 2% | |
| 33 | TAKEMARU Leo | - | 1% | 9% | 28% | 40% | 21% | |
| 34 | MORRILL Justin | - | 1% | 7% | 25% | 38% | 24% | 5% |
| 35 | GINIS Nathan | 1% | 7% | 24% | 36% | 26% | 7% | |
| 36 | CHO Sungmin | - | - | 2% | 10% | 29% | 40% | 21% |
| 37 | STRONG Jr James S. | 2% | 10% | 25% | 32% | 22% | 8% | 1% |
| 38 | CHO Brandon | - | 1% | 4% | 17% | 34% | 32% | 12% |
| 39 | LUKASHENKO Darii | - | 1% | 10% | 29% | 36% | 20% | 4% |
| 40 | CZYZEWSKI Konrad R. | - | - | 3% | 16% | 35% | 34% | 11% |
| 41 | KUSHKOV Veniamin | 1% | 9% | 29% | 37% | 19% | 4% | - |
| 41 | SAINT-PIERRE-MENARD Colin | 8% | 25% | 33% | 23% | 9% | 2% | - |
| 43 | KEEFE Duncan | 2% | 15% | 32% | 33% | 15% | 3% | - |
| 44 | JI Cody Walter | - | 3% | 18% | 37% | 32% | 10% | |
| 45 | PARKHURST Jr Michael | 4% | 21% | 36% | 28% | 10% | 1% | |
| 46 | PAN Andrew W. | - | 1% | 9% | 28% | 40% | 22% | |
| 46 | HARGENRADER Kailen A. | 1% | 6% | 22% | 36% | 28% | 7% | |
| 48 | MURTHY Mukund | 1% | 8% | 25% | 36% | 24% | 5% | |
| 49 | LAU Jeremy Y. | - | - | 2% | 14% | 37% | 35% | 11% |
| 50 | SZEWCZYK Thomas D. | - | 2% | 13% | 32% | 36% | 16% | 1% |
| 51 | ALTIRS Alexander | 8% | 37% | 41% | 13% | 2% | - | - |
| 52 | PETRAMALE Samuel J. | - | - | 2% | 11% | 29% | 38% | 20% |
| 53 | HUANG Tyler T. | - | 5% | 29% | 41% | 20% | 4% | - |
| 54 | CHAN Daniel | 4% | 20% | 34% | 29% | 11% | 2% | |
| 55 | SANFILIPPO-SCHERER Alexander G. | 8% | 27% | 36% | 22% | 6% | 1% | |
| 56 | MORRILL William | - | 11% | 33% | 36% | 17% | 3% | |
| 57 | LINSKY Matthew | 3% | 15% | 33% | 32% | 15% | 2% | |
| 58 | ZHOU Kevin | 2% | 14% | 38% | 34% | 11% | 1% | |
| 59 | HUANG Ian | 29% | 45% | 21% | 4% | - | - | |
| 60 | VON TULGANBURG Cameron C. | 7% | 37% | 41% | 13% | 2% | - | - |
| 61 | WOLFE-MCGUIRE George T. | 2% | 15% | 33% | 31% | 15% | 3% | - |
| 62 | ZHOU Miles | 14% | 35% | 34% | 14% | 3% | - | |
| 63 | BOURGHOL Matthew | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 64 | LIU Kelly | - | 3% | 15% | 32% | 34% | 15% | 1% |
| 65 | CHAN Alexander S. | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 66 | TONG Zachary | 1% | 11% | 32% | 36% | 16% | 3% | - |
| 67 | GREENE Cameron J. | 6% | 28% | 37% | 22% | 6% | 1% | |
| 68 | LEE Justin | 2% | 15% | 34% | 32% | 14% | 3% | - |
| 69 | HAQ Kamran R. | 6% | 26% | 36% | 23% | 8% | 1% | - |
| 70 | LU Caleb Q. | 1% | 10% | 31% | 36% | 18% | 3% | - |
| 71 | WU Wilmund | 12% | 40% | 35% | 12% | 2% | - | - |
| 72 | HO Kaden M. | 1% | 9% | 28% | 35% | 21% | 6% | 1% |
| 73 | EDELMAN Seth A. | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 74 | MICHNA Colin P. | 7% | 26% | 36% | 23% | 6% | 1% | |
| 75 | TANG Albert | 20% | 39% | 29% | 10% | 2% | - | |
| 76 | NAZLYMOV Andrei | 5% | 23% | 35% | 26% | 9% | 1% | |
| 77 | GORMAN Liam | 24% | 40% | 26% | 8% | 1% | - | |
| 78 | HAN Daniel Y. | 39% | 42% | 16% | 3% | - | - | - |
| 79 | REN Richard | 1% | 11% | 29% | 34% | 19% | 5% | - |
| 80 | CHANG Yufeng | 7% | 27% | 39% | 22% | 5% | - | - |
| 81 | HUANG Ethan F. | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
| 83 | HONG Vincent Q. | 14% | 35% | 33% | 15% | 3% | - | |
| 84 | LEDERER Justin W. | 4% | 25% | 42% | 24% | 5% | - | |
| 85 | COOK Aidan J. | 45% | 43% | 12% | 1% | - | - | - |
| 85 | REDA Myles | 13% | 43% | 33% | 10% | 1% | - | - |
| 87 | CHENG Kyle | < 1% | 4% | 14% | 29% | 31% | 17% | 4% |
| 88 | GEORGE Daniel | 58% | 35% | 7% | 1% | - | - | - |
| 89 | MARTINEZ Justin | 24% | 45% | 25% | 6% | 1% | - | |
| 90 | SPOSATO Andrew P. | 37% | 41% | 18% | 4% | - | - | - |
| 91 | SPRINGER Patrick | 84% | 15% | 1% | - | - | - | |
| 92 | CHEN Ethan | 18% | 37% | 30% | 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.