Rocky Point, NY - Rocky Point, 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 | HOOSHI Dylan M. | - | - | - | 1% | 12% | 43% | 44% |
| 2 | CHENG Jonathan | - | - | 1% | 5% | 21% | 41% | 31% |
| 3 | KIM Nicholas W. | - | - | - | 2% | 14% | 42% | 42% |
| 3 | ONIK Elijah T. | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 5 | KIM Yonjae | - | - | 1% | 5% | 21% | 42% | 31% |
| 6 | DOCTOR Aidan L. | - | - | 3% | 15% | 34% | 35% | 13% |
| 7 | LI Richard | - | - | 3% | 14% | 32% | 35% | 14% |
| 8 | ZELTSER Lawrence M. | - | 1% | 7% | 24% | 38% | 25% | 5% |
| 9 | HOOSHI Jayden C. | - | - | 1% | 10% | 32% | 40% | 17% |
| 10 | ORR Spencer | - | - | 4% | 25% | 46% | 22% | 3% |
| 11 | COSTELLO Chaissen F. | - | 3% | 15% | 31% | 32% | 16% | 3% |
| 12 | KULKARNI Ansh A. | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
| 13 | BAE Kevin | - | 1% | 9% | 29% | 37% | 20% | 3% |
| 14 | SINGH Dayaal | - | - | 5% | 22% | 37% | 28% | 7% |
| 15 | GOOR Julian | - | 1% | 9% | 27% | 37% | 22% | 4% |
| 16 | BOBROW Logan | - | 1% | 5% | 20% | 36% | 30% | 8% |
| 17 | LIANG Lixi (Henry) | - | 1% | 5% | 18% | 34% | 32% | 11% |
| 18 | LEE Joshua | - | - | 6% | 24% | 37% | 26% | 7% |
| 18 | TOLBA Abdelrahman | - | - | 3% | 18% | 38% | 31% | 9% |
| 20 | YANG Luao | - | 3% | 16% | 32% | 31% | 15% | 3% |
| 21 | PAE Brian L. | - | 2% | 12% | 29% | 34% | 19% | 4% |
| 22 | SCHEMBRI MCCORD Kruz T. | - | - | 2% | 11% | 30% | 38% | 19% |
| 23 | NAGER Noah | - | - | 3% | 15% | 37% | 36% | 10% |
| 24 | KWON Ethan | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 25 | BING Charles | - | - | - | 4% | 26% | 49% | 21% |
| 26 | PAE Jonathan L. | - | - | 8% | 27% | 37% | 23% | 5% |
| 27 | FU Samuel Y. | - | - | 5% | 21% | 40% | 28% | 6% |
| 28 | BASOK Nikita | - | 2% | 18% | 46% | 29% | 6% | - |
| 29 | LAURICELLA Douglas | - | 1% | 6% | 20% | 35% | 30% | 10% |
| 30 | RUSADZE Nickolas | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 31 | GORBACHEV Alexander | - | - | 1% | 9% | 31% | 41% | 18% |
| 32 | KAO Castor T. | - | 1% | 5% | 19% | 34% | 31% | 11% |
| 33 | SHA Yi Peng | - | 3% | 18% | 37% | 30% | 10% | 1% |
| 34 | ZHAI Jeffrey | 1% | 9% | 27% | 34% | 21% | 6% | 1% |
| 35 | ORVANANOS Jorge | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 36 | ANTON Nathaniel | 5% | 26% | 37% | 24% | 8% | 1% | - |
| 37 | WENDELL Jay Z. | 4% | 19% | 32% | 28% | 13% | 3% | - |
| 38 | AHN Jun | 2% | 14% | 35% | 34% | 13% | 2% | - |
| 39 | WANG Gerald Y. | 3% | 21% | 42% | 26% | 7% | 1% | - |
| 40 | KEE Andrew L. | - | 5% | 19% | 34% | 29% | 12% | 2% |
| 41 | TSIMIKLIS Yanni | 9% | 36% | 37% | 15% | 3% | - | - |
| 42 | ANDERSON Christian | 2% | 15% | 36% | 33% | 12% | 2% | - |
| 43 | CATINO Brennen | 1% | 7% | 25% | 35% | 24% | 8% | 1% |
| 43 | ZHEN Ethan | 2% | 12% | 30% | 33% | 18% | 5% | - |
| 43 | WANG Alex L. | 19% | 45% | 29% | 7% | 1% | - | - |
| 46 | WU Alexander | 2% | 13% | 30% | 33% | 18% | 4% | - |
| 47 | SHEN Troy R. | 2% | 20% | 48% | 25% | 4% | - | - |
| 48 | JIANG Owen | - | 3% | 23% | 38% | 26% | 8% | 1% |
| 49 | PITERBARG Maxim | 26% | 43% | 24% | 6% | 1% | - | - |
| 50 | ZHONG Guoren | 10% | 34% | 37% | 16% | 3% | - | - |
| 51 | LI Arvin | 2% | 13% | 33% | 33% | 16% | 3% | - |
| 52 | BELLUOMO David C. | 40% | 40% | 16% | 3% | - | - | - |
| 53 | PO Oliver | 3% | 19% | 35% | 29% | 12% | 2% | - |
| 54 | SHEN Luke R. | 6% | 62% | 27% | 5% | - | - | - |
| 55 | BOUSSY Luciano | 14% | 54% | 28% | 4% | - | - | - |
| 56 | DAVIDSON Elliot | 44% | 41% | 14% | 2% | - | - | - |
| 57 | LEWIS Akhil | 50% | 38% | 11% | 2% | - | - | - |
| 58 | PROMRAT Pete | 10% | 34% | 37% | 16% | 3% | - | - |
| 58 | XU Mathu Yang | 41% | 44% | 13% | 2% | - | - | - |
| 60 | LONGENBACH Pharell J. | 39% | 44% | 15% | 2% | - | - | - |
| 60 | LEWIS Nikhil I. | 66% | 30% | 4% | - | - | - | - |
| 62 | LI Ayren | 50% | 37% | 11% | 2% | - | - | - |
| 63 | ZHANG Shengqi | 89% | 11% | - | - | - | - | - |
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.