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 | LEE Brendan | - | - | - | 4% | 22% | 43% | 30% |
| 2 | MATSAKH Philip | - | - | - | 5% | 24% | 46% | 25% |
| 3 | LIU Derek | - | - | 1% | 7% | 27% | 43% | 22% |
| 3 | SHAPIRO Leon | - | 3% | 15% | 32% | 32% | 14% | 2% |
| 5 | LI Aaron | - | - | 2% | 10% | 29% | 40% | 20% |
| 6 | XU Xinhao ( Sonny) | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 7 | SONG Noel | - | - | 1% | 9% | 29% | 40% | 20% |
| 8 | LI Bradley | - | - | 4% | 19% | 43% | 28% | 6% |
| 9 | TANG August L. | - | - | - | 4% | 19% | 42% | 34% |
| 10 | LEE Eugene | - | 3% | 15% | 31% | 32% | 15% | 3% |
| 11 | WANG Winston | - | - | - | 3% | 21% | 46% | 29% |
| 12 | YANG Dylan | 6% | 27% | 40% | 21% | 5% | 1% | - |
| 13 | QIAN Jason H. | - | - | 1% | 5% | 23% | 44% | 26% |
| 14 | TANG Alexander L. | - | - | 4% | 18% | 36% | 32% | 10% |
| 15 | MAO Lucas | - | 1% | 10% | 28% | 36% | 20% | 4% |
| 16 | WANG Rory | 1% | 10% | 29% | 34% | 20% | 5% | 1% |
| 17 | KIAYIAS Aris | - | - | 2% | 12% | 31% | 37% | 17% |
| 18 | WANG Brian | - | - | 6% | 27% | 40% | 22% | 4% |
| 19 | TSAO Lukas | - | - | 1% | 9% | 28% | 40% | 22% |
| 20 | CHEN Kyle P. | - | 2% | 15% | 32% | 33% | 15% | 3% |
| 21 | CHEN Ethan | - | 1% | 9% | 27% | 37% | 22% | 4% |
| 22 | GULCHIN Mark (Yerma) | - | - | 4% | 23% | 40% | 27% | 6% |
| 23 | CHO Xzander | - | 3% | 16% | 34% | 32% | 13% | 2% |
| 24 | PARRISH Evan | - | 1% | 7% | 22% | 36% | 27% | 8% |
| 25 | ZHAO Adam | - | - | 2% | 17% | 39% | 33% | 9% |
| 26 | LEVY Jacob | - | 1% | 7% | 27% | 38% | 23% | 5% |
| 26 | GE Daniel | 12% | 42% | 33% | 11% | 2% | - | - |
| 28 | GERRISH William | - | 6% | 25% | 36% | 24% | 7% | 1% |
| 29 | SRINIVASAN Vedant | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 30 | BHAN Amar | 40% | 41% | 16% | 3% | - | - | - |
| 31 | WOODCOCK Henry | 18% | 38% | 30% | 11% | 2% | - | - |
| 32 | HARRA Alexander | 8% | 29% | 36% | 20% | 6% | 1% | - |
| 33 | KOVACS Wyatt | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 34 | SCHLACK Jake | 8% | 33% | 38% | 18% | 3% | - | - |
| 35 | LI Ayren | - | 2% | 12% | 29% | 35% | 19% | 3% |
| 36 | SHANNON Jack | 10% | 33% | 37% | 17% | 3% | - | - |
| 37 | SHENG Dalton | - | 2% | 11% | 30% | 37% | 17% | 3% |
| 38 | TOOMRE Kai | 5% | 23% | 37% | 26% | 8% | 1% | - |
| 39 | MASTROPAOLO Jonah W. | - | 5% | 19% | 35% | 29% | 10% | 1% |
| 40 | YAO Bradley | - | - | 3% | 15% | 32% | 35% | 14% |
| 41 | VISHAWADIA Jaimin | 19% | 39% | 30% | 11% | 2% | - | - |
| 42 | SIMON Luke | 7% | 27% | 39% | 23% | 5% | - | - |
| 43 | LEE Charles T | 3% | 19% | 35% | 29% | 12% | 2% | - |
| 44 | WONG Jacob W. | 9% | 30% | 36% | 19% | 5% | 1% | - |
| 45 | SIMONOV Timofey | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 46 | BAI Brian | 12% | 34% | 35% | 16% | 3% | - | - |
| 46 | YAP Nathan | - | - | 5% | 22% | 39% | 27% | 7% |
| 46 | TANG Alex | - | 1% | 9% | 25% | 36% | 23% | 5% |
| 49 | CHEN Hanson | - | 3% | 14% | 31% | 32% | 16% | 3% |
| 50 | XU Ethan | 6% | 26% | 38% | 23% | 5% | - | - |
| 51 | COSSROW Alex | 17% | 50% | 28% | 4% | - | - | - |
| 52 | MARTIN Darius | 1% | 12% | 32% | 35% | 16% | 3% | - |
| 53 | CHENG Austyn | 12% | 34% | 35% | 16% | 3% | - | - |
| 54 | DIAZ Gabriel | 45% | 40% | 13% | 2% | - | - | - |
| 55 | SUNDSTROM Wren | 42% | 42% | 14% | 2% | - | - | - |
| 56 | KELSEY Simon | 60% | 36% | 4% | - | - | - | - |
| 57 | WASDEN Elisha | 2% | 21% | 47% | 24% | 5% | - | - |
| 58 | MOREA Anderson | 52% | 38% | 9% | 1% | - | - | - |
| 59 | WIDOFF-WOODSON Jackson Leroi | 5% | 26% | 40% | 23% | 6% | 1% | - |
| 59 | SURESH Rohan | 9% | 31% | 36% | 19% | 5% | 1% | - |
| 59 | ZAPPALA Nikolai | 18% | 40% | 31% | 10% | 1% | - | - |
| 62 | MUNDY Ezra | 15% | 37% | 33% | 13% | 2% | - | - |
| 63 | MALICSI Zane | 9% | 42% | 36% | 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.