SportsPlex At Metuchen - Metuchen, 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 | HAN Changhee | - | - | 5% | 26% | 45% | 24% | |
| 2 | HE Xiangrui | - | - | - | 4% | 21% | 44% | 31% |
| 3 | SYOMICHEV Gleb A. | - | - | 4% | 17% | 38% | 33% | 7% |
| 3 | LIGOS Alex M. | - | 2% | 15% | 36% | 36% | 11% | |
| 5 | BADLANI Dev | - | 1% | 9% | 30% | 40% | 19% | |
| 6 | GUO Sean | - | 1% | 7% | 28% | 43% | 22% | |
| 7 | SONG Bryan | - | 5% | 22% | 44% | 29% | ||
| 8 | KLOTZ Isaiah | - | 5% | 21% | 38% | 28% | 7% | |
| 9 | LIU Derek | - | 1% | 9% | 32% | 41% | 16% | |
| 10 | WANG Winston | - | - | 7% | 30% | 45% | 17% | |
| 11 | MILLER Aidan A. | - | 2% | 11% | 31% | 39% | 18% | |
| 12 | TAHOUN Mostafa | - | - | 6% | 28% | 44% | 21% | |
| 13 | JI Aidan Y. | - | - | - | 1% | 10% | 38% | 50% |
| 14 | YOON DYLAN | - | 2% | 13% | 34% | 37% | 14% | |
| 15 | KITAGAWA Eric S. | - | - | 2% | 16% | 38% | 34% | 10% |
| 16 | LEVY Jacob | 2% | 15% | 35% | 33% | 13% | 2% | |
| 17 | LI Arvin | - | 1% | 8% | 27% | 41% | 23% | |
| 18 | TIKHAEV Alexander | - | 1% | 8% | 30% | 43% | 19% | |
| 19 | PLASTARAS Trey | - | 1% | 8% | 33% | 39% | 17% | 2% |
| 20 | TRUBETSKI David | - | 2% | 11% | 29% | 38% | 18% | 2% |
| 21 | LI Ayren | 1% | 10% | 33% | 37% | 16% | 2% | |
| 22 | TAN Christien | - | - | 4% | 23% | 44% | 28% | |
| 23 | LI Aaron | - | 6% | 24% | 38% | 25% | 6% | |
| 24 | XU Ethan | 4% | 21% | 38% | 28% | 9% | 1% | |
| 25 | AKYAMAC Bora | 11% | 35% | 37% | 15% | 2% | ||
| 26 | TANG Albert | - | 2% | 14% | 34% | 36% | 14% | |
| 27 | GUO Justin | - | - | 3% | 19% | 43% | 35% | |
| 28 | LEE Eugene | 3% | 22% | 45% | 25% | 5% | - | |
| 29 | KOVACS Wyatt | 2% | 17% | 36% | 32% | 12% | 2% | |
| 30 | SONG Noel | - | 2% | 15% | 38% | 35% | 10% | |
| 31 | CHEN Kyle P. | - | 9% | 36% | 39% | 14% | 1% | |
| 32 | TAM Kyle | 60% | 34% | 6% | - | - | - | - |
| 33 | ZELTSER Lawrence M. | - | - | 2% | 14% | 43% | 40% | |
| 34 | TANG August L. | - | - | 4% | 20% | 39% | 30% | 7% |
| 35 | WANG Brian | 1% | 8% | 29% | 39% | 20% | 3% | |
| 36 | WANG Mason | - | 3% | 17% | 36% | 33% | 10% | |
| 37 | MILLER Jordan | - | 7% | 32% | 41% | 17% | 2% | |
| 38 | GARCIA HERNANDEZ Lucas | 1% | 7% | 25% | 38% | 25% | 6% | |
| 39 | ORLOV Dmitriy | - | 2% | 16% | 40% | 33% | 8% | |
| 40 | NICOLSON William | 1% | 11% | 31% | 36% | 17% | 3% | - |
| 41 | TANG Terry | 10% | 34% | 38% | 16% | 2% | ||
| 42 | ZHUANG Chuanxuan | 2% | 47% | 39% | 11% | 1% | - | |
| 43 | BRAIZINHA Thomas | 13% | 37% | 34% | 13% | 2% | - | |
| 44 | GERRISH William | 4% | 23% | 42% | 25% | 6% | - | |
| 45 | HOLLIS Sean | 59% | 34% | 6% | - | - | - | |
| 46 | MASTROPAOLO Jonah W. | 6% | 30% | 39% | 20% | 5% | - | |
| 47 | LAO Kevin | 7% | 29% | 38% | 21% | 5% | - | - |
| 48 | LU Howen | 26% | 43% | 24% | 5% | - | ||
| 49 | ORVANANOS Jorge | 1% | 9% | 31% | 41% | 17% | ||
| 50 | SEIB-LEVINSON Conrad | 36% | 45% | 17% | 2% | - | - | |
| 51 | WANG Rory | 6% | 29% | 41% | 19% | 4% | - | |
| 52 | PITERBARG Maxim | - | 1% | 13% | 39% | 36% | 10% | |
| 52 | POPE Alexander | 7% | 30% | 38% | 20% | 5% | - | |
| 54 | HUNTER Phillip | 13% | 41% | 34% | 10% | 1% | - | |
| 55 | YANG Dylan | 39% | 43% | 16% | 2% | - | - | |
| 56 | HOLCOMB Cedric | 12% | 47% | 33% | 8% | 1% | - | |
| 57 | BLEIL Tyler | 21% | 45% | 26% | 6% | 1% | - | |
| 58 | MAGALONG William | 4% | 27% | 46% | 19% | 3% | - | - |
| 59 | SIMON Luke | 15% | 37% | 32% | 13% | 2% | - | - |
| 60 | GAO Payton | 21% | 46% | 27% | 6% | 1% | - | |
| 60 | GREENLEAF Paul | 30% | 43% | 21% | 5% | - | - | |
| 62 | MATTOS Luis Felipe | 52% | 37% | 10% | 1% | - | - | |
| 63 | FRANK Amir | 45% | 40% | 13% | 2% | - | - | |
| 64 | BARZOUSKY Gabriel | 35% | 45% | 17% | 3% | - | - | |
| 65 | LAM Anthony | 94% | 6% | - | - | - | - | |
| 66 | NADOL Sam | 7% | 37% | 37% | 15% | 3% | - | - |
| 67 | ROSS Peter | 6% | 54% | 34% | 6% | - | - | - |
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.