Greater Philadelphia Expo Center - Oaks, PA, 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 | HU Lucas | - | - | - | 5% | 23% | 45% | 27% |
| 2 | SETO Jing | - | - | 2% | 12% | 33% | 38% | 14% |
| 3 | ZAYDMAN Ethan | - | - | 2% | 13% | 36% | 37% | 12% |
| 3 | SU Caleb | - | - | - | 1% | 6% | 31% | 63% |
| 5 | XIA Dashan | - | - | 1% | 7% | 23% | 41% | 28% |
| 6 | CHEN Zhengyang (Allen) | - | 1% | 9% | 27% | 40% | 22% | |
| 7 | HU Robert J. | - | - | 3% | 13% | 32% | 36% | 15% |
| 8 | SAVORETTI Francesco | - | - | 1% | 7% | 28% | 43% | 21% |
| 9 | MAO Benjamin | - | - | - | 1% | 8% | 35% | 57% |
| 10 | KIM Henry | - | 1% | 4% | 17% | 33% | 32% | 12% |
| 11 | TIKHONOV Ilia | - | - | 1% | 9% | 31% | 41% | 17% |
| 12 | BOUDREAUX James | - | - | 1% | 8% | 27% | 41% | 23% |
| 13 | SVERDLOV Seth | - | - | 1% | 5% | 22% | 43% | 30% |
| 14 | LI Morgan | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 15 | FEINBERG James Y. | 1% | 10% | 30% | 35% | 19% | 5% | - |
| 16 | PETERSEN Zachary | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 17 | GUMEDELLI Mohnish | - | 1% | 10% | 32% | 38% | 16% | 2% |
| 18 | LI Zachary | - | - | 1% | 6% | 22% | 41% | 30% |
| 19 | SIALA Omar | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 20 | CHEN Leonardo | - | - | 1% | 5% | 21% | 42% | 31% |
| 21 | SIYANKO Joshua | - | 1% | 5% | 19% | 35% | 30% | 9% |
| 22 | NORMILE Nicholas | - | - | 1% | 8% | 25% | 41% | 25% |
| 22 | KARIMOV Amir | - | 1% | 8% | 24% | 36% | 25% | 7% |
| 24 | LEE Aiden | - | - | 4% | 16% | 33% | 34% | 13% |
| 25 | RATUSHNYI Georgii | - | 4% | 17% | 33% | 32% | 12% | 1% |
| 26 | LEE JoonWon | - | - | - | 5% | 23% | 45% | 27% |
| 27 | YAMAGUCHI Yuzuki | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
| 28 | WONG King-Yee | - | 2% | 9% | 26% | 35% | 23% | 5% |
| 29 | JIANG Matthew | - | 3% | 16% | 34% | 32% | 12% | 1% |
| 30 | RIM Eugene | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 31 | CHEN Jun Ho | - | 1% | 8% | 26% | 38% | 23% | 4% |
| 32 | CHEN YiHeng | - | 3% | 13% | 30% | 34% | 17% | 3% |
| 33 | TRAN Spencer | - | 1% | 9% | 27% | 38% | 21% | 4% |
| 34 | LEE Aiden | - | 2% | 10% | 25% | 35% | 23% | 5% |
| 35 | LIU Adam | - | 1% | 4% | 17% | 34% | 33% | 11% |
| 36 | SOKOL Luke | - | 2% | 10% | 26% | 36% | 22% | 4% |
| 37 | CHEN Jayden | 1% | 10% | 27% | 34% | 21% | 7% | 1% |
| 38 | YU Samuel | - | 2% | 11% | 30% | 35% | 18% | 3% |
| 39 | TATE William Isom | - | 5% | 20% | 36% | 29% | 9% | 1% |
| 40 | BAJAJ Nakul | 4% | 18% | 34% | 30% | 13% | 2% | |
| 41 | RVACHEV Michael | 3% | 15% | 32% | 32% | 15% | 3% | - |
| 42 | SHA Michael | - | 2% | 11% | 29% | 36% | 19% | 2% |
| 43 | SONG Changze | 1% | 9% | 27% | 34% | 21% | 6% | 1% |
| 44 | BRADSHAW Carter | - | 5% | 20% | 34% | 28% | 11% | 1% |
| 45 | YI Nathan | 1% | 8% | 24% | 36% | 25% | 6% | |
| 46 | MOSKOWITZ Martin | 4% | 20% | 35% | 28% | 11% | 2% | |
| 47 | ANAFI Ari | - | 3% | 14% | 30% | 32% | 17% | 3% |
| 48 | AHMED Mohsen | - | 1% | 5% | 20% | 35% | 30% | 9% |
| 49 | LEE DoWon | 1% | 6% | 22% | 34% | 26% | 9% | 1% |
| 49 | HELMY Richard | 2% | 19% | 40% | 30% | 9% | 1% | - |
| 51 | EVANS Joseph | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
| 52 | GUNDUBOGULA Saket | 20% | 39% | 29% | 10% | 2% | - | - |
| 53 | KAPLAN Maddox | 12% | 39% | 34% | 13% | 2% | - | - |
| 54 | HEGLAND Grady | 10% | 31% | 35% | 18% | 5% | - | - |
| 55 | LEE Anton | 4% | 21% | 36% | 28% | 10% | 2% | - |
| 56 | NALLICHERI Ayaan | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 57 | LI Jade | - | 3% | 19% | 39% | 30% | 8% | 1% |
| 58 | ZHANG Jonathan | 14% | 34% | 33% | 15% | 4% | - | - |
| 59 | WU Jerry | 5% | 23% | 37% | 26% | 8% | 1% | - |
| 60 | GAO Victor | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 61 | WHEELER Jackson | 11% | 31% | 34% | 18% | 5% | 1% | - |
| 62 | MILINKOVIC Maksim | 8% | 27% | 36% | 22% | 6% | 1% | |
| 63 | MALHAM Andrew | 19% | 38% | 29% | 11% | 2% | - | - |
| 64 | WEHMEYER Devin | 8% | 28% | 35% | 21% | 7% | 1% | - |
| 65 | DOUBOV Andrew | - | 1% | 6% | 21% | 37% | 28% | 7% |
| 66 | O'LONGAIGH Sunkhar | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 67 | LAI Boden | - | - | - | 4% | 19% | 41% | 35% |
| 68 | EMMERT JP | - | 5% | 20% | 36% | 28% | 10% | 1% |
| 69 | HOWARD Jackson | 1% | 9% | 26% | 35% | 22% | 6% | - |
| 70 | CUELLAR Markus | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 71 | SUBRAMANIAM Sahil | 3% | 26% | 42% | 24% | 5% | - | - |
| 72 | NG Nico | 3% | 19% | 41% | 29% | 8% | 1% | - |
| 73 | ZHAO Pierce | 4% | 21% | 35% | 28% | 11% | 2% | - |
| 74 | LIDSKY Phineas | - | 3% | 13% | 30% | 34% | 17% | 3% |
| 75 | FRIEDMAN Andres | 27% | 41% | 24% | 7% | 1% | - | - |
| 76 | VAN DOREN William | 38% | 42% | 17% | 3% | - | - | - |
| 77 | FANG Zekai | 4% | 18% | 32% | 29% | 13% | 3% | - |
| 78 | MA YIXING (Tiger) | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 79 | SUN Lucas | 1% | 13% | 37% | 35% | 12% | 2% | - |
| 80 | KIM Zac | 40% | 40% | 16% | 3% | - | - | - |
| 81 | TIFFANY Maxim | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 82 | NILSEN Mark | 10% | 32% | 35% | 18% | 5% | 1% | - |
| 83 | CHAN Kyle Si Tin | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 84 | YANG Alex | 10% | 31% | 35% | 19% | 5% | - | |
| 85 | CHEN Edward | 2% | 10% | 26% | 33% | 21% | 7% | 1% |
| 86 | RAMEY Daylon | 17% | 42% | 30% | 9% | 1% | - | - |
| 87 | CUMMINGS Owen | 12% | 35% | 34% | 15% | 3% | - | - |
| 88 | ZHANG Jason | 20% | 39% | 29% | 10% | 2% | - | - |
| 89 | WITHERELL Logan | 44% | 42% | 12% | 1% | - | - | - |
| 90 | LEE Henry | 25% | 42% | 25% | 7% | 1% | - | - |
| 91 | OSHIMA Robert | 16% | 45% | 30% | 7% | 1% | - | - |
| 92 | HEISLER Maxfield | 33% | 43% | 19% | 4% | - | - | - |
| 93 | KOGAN Yelisey L. | 10% | 32% | 35% | 18% | 4% | 1% | - |
| 93 | LYCHKO Maksym | 6% | 24% | 36% | 25% | 8% | 1% | - |
| 93 | YIN Chujun | 1% | 11% | 31% | 35% | 18% | 4% | - |
| 96 | YU David | 44% | 39% | 14% | 2% | - | - | - |
| 97 | ZUCKER Joshua L. | 71% | 26% | 3% | - | - | - | - |
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.