Gaylord National Resort and Convention Center - National Harbor, MD, 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 | LUO Alexander | - | - | 1% | 6% | 23% | 43% | 27% |
| 2 | YAO Ryan | - | - | 3% | 14% | 31% | 35% | 16% |
| 3 | KROPP Wesley | - | - | 1% | 9% | 28% | 40% | 22% |
| 3 | PUTHOFF Henry | - | 2% | 12% | 30% | 34% | 18% | 4% |
| 5 | DING Max | - | - | 2% | 10% | 28% | 39% | 21% |
| 6 | MASKIN Mikhail | - | - | 3% | 16% | 42% | 39% | |
| 6 | YAO Aiden | - | - | 2% | 11% | 29% | 39% | 19% |
| 8 | DAI Jason | - | 2% | 12% | 30% | 34% | 18% | 3% |
| 9 | CHIANG William | - | 2% | 13% | 35% | 37% | 13% | |
| 10 | CHAU Ivan | - | - | - | - | 3% | 23% | 74% |
| 11 | FERREIRA DE MELO Martin | - | 2% | 11% | 32% | 39% | 15% | 1% |
| 12 | BUTLER Xavier | 1% | 7% | 24% | 35% | 25% | 8% | 1% |
| 13 | WU MiEr | - | - | - | 5% | 22% | 43% | 30% |
| 14 | ZHANG Chaoyi（Joey） | - | 1% | 6% | 22% | 36% | 27% | 7% |
| 15 | ZHAO Kyle Zekai | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 16 | PARK Ethan | 1% | 5% | 19% | 33% | 28% | 12% | 2% |
| 17 | ARMSTRONG Payson | - | - | 1% | 6% | 22% | 41% | 30% |
| 18 | ZHANG jonathan | - | - | 1% | 8% | 27% | 41% | 22% |
| 19 | SADOWY Wojciech | - | - | - | - | 2% | 20% | 78% |
| 20 | KIM Aiden | - | - | 3% | 15% | 37% | 35% | 11% |
| 21 | LIU Austin | - | 3% | 15% | 34% | 34% | 13% | 1% |
| 22 | LI Bryan | 1% | 6% | 23% | 35% | 26% | 8% | 1% |
| 23 | SHIM Jaeyoo | 1% | 6% | 23% | 38% | 26% | 6% | - |
| 24 | KIM Siwoo | 1% | 7% | 22% | 34% | 25% | 9% | 1% |
| 25 | WANG Suian (Andy) | - | 4% | 18% | 35% | 31% | 11% | 1% |
| 26 | CHEN Daniel | - | 1% | 5% | 22% | 40% | 29% | 3% |
| 27 | KANG Ihan | - | 3% | 16% | 35% | 32% | 13% | 2% |
| 28 | NOOL Aaron | 3% | 18% | 38% | 30% | 10% | 1% | - |
| 29 | MENAY Ignacio | 1% | 14% | 38% | 34% | 12% | 1% | |
| 30 | ROBERTS Arthur | - | - | 2% | 14% | 34% | 37% | 14% |
| 31 | MBERIA Henry | - | 1% | 5% | 20% | 36% | 30% | 9% |
| 32 | ZHUKOV Egor | 2% | 19% | 38% | 29% | 11% | 2% | - |
| 33 | MADRIGAL SALVAT Guillermo | - | 1% | 6% | 26% | 42% | 24% | 2% |
| 34 | KUANG Cyrus | - | - | 2% | 10% | 29% | 40% | 20% |
| 35 | MAZAHERI Theodore | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 36 | HOLDEN Harrison | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 37 | CHEN Evan | - | 2% | 12% | 31% | 36% | 16% | 1% |
| 38 | CHA Aiden | - | 2% | 10% | 28% | 35% | 21% | 4% |
| 38 | BURT Jonathan Parker | 11% | 34% | 37% | 16% | 3% | - | - |
| 40 | CAMP William | - | - | 4% | 17% | 35% | 33% | 11% |
| 41 | MA yuwei | 2% | 15% | 36% | 32% | 13% | 2% | - |
| 42 | SHAO Mason | 1% | 16% | 35% | 31% | 13% | 3% | - |
| 43 | ZHOU Luke | - | 2% | 14% | 37% | 36% | 11% | |
| 44 | CHEN Zachary | 1% | 10% | 36% | 40% | 12% | 1% | |
| 45 | ZHOU Silvan | 2% | 18% | 39% | 31% | 9% | 1% | |
| 46 | LAI Jayden | - | 2% | 9% | 25% | 35% | 23% | 5% |
| 47 | ZINCHUK Yuri | 1% | 6% | 21% | 36% | 27% | 9% | 1% |
| 48 | DE LOS REYES Noah | 5% | 23% | 36% | 25% | 9% | 1% | - |
| 49 | CHEN Regis | 11% | 33% | 34% | 17% | 4% | - | - |
| 50 | GAO Guanyi (Jonathan) | - | 4% | 20% | 40% | 30% | 6% | - |
| 51 | ZHAO Brandon | 3% | 18% | 34% | 29% | 13% | 3% | - |
| 52 | CARMONA Alonso | - | - | 2% | 12% | 33% | 38% | 15% |
| 53 | FAYEZ Adam | - | 3% | 16% | 36% | 33% | 11% | 1% |
| 54 | MAZAHERI John | 2% | 15% | 34% | 32% | 13% | 2% | - |
| 55 | KICIMAN Louis | 9% | 30% | 35% | 20% | 5% | 1% | - |
| 56 | IMBERG Matthew | - | 3% | 16% | 33% | 32% | 13% | 2% |
| 57 | GOH Cayden | 15% | 38% | 33% | 12% | 2% | - | - |
| 58 | THOMSON Piers | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 59 | ORNDORF IV Thomas P. | 30% | 45% | 21% | 4% | - | - | |
| 60 | VINCENT-GRAVENHISE Malcolm | - | 3% | 15% | 33% | 32% | 14% | 2% |
| 60 | BEN-YOSEPH Rafael | 10% | 31% | 35% | 18% | 5% | 1% | - |
| 62 | MA Joseph | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 63 | FEELY Samuel | 12% | 34% | 34% | 16% | 3% | - | - |
| 64 | ALI Akash | 8% | 25% | 34% | 23% | 8% | 1% | - |
| 65 | CHEN Tyler | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 66 | ZHAO Ryan | - | 5% | 20% | 37% | 29% | 8% | - |
| 67 | ZHENG Jasper | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 68 | ROBINSON Ronald (Tre) | 4% | 21% | 35% | 27% | 10% | 2% | - |
| 69 | ADDYSON Evan | 24% | 42% | 26% | 7% | 1% | - | - |
| 70 | FERNANDEZ Chenxing | - | 1% | 8% | 30% | 45% | 16% | |
| 71 | NG Remy | - | 1% | 7% | 29% | 42% | 21% | |
| 72 | KIM Kaiden | 34% | 44% | 18% | 3% | - | - | |
| 73 | XIONG Alec | - | - | 3% | 16% | 37% | 34% | 10% |
| 74 | ZHU David | 15% | 35% | 32% | 14% | 3% | - | - |
| 75 | CHEN Benjamin | 16% | 38% | 32% | 12% | 2% | - | - |
| 76 | WHITE Leonardo | 2% | 12% | 32% | 36% | 16% | 3% | - |
| 77 | AHMAD Aydin | 30% | 48% | 18% | 3% | - | - | |
| 78 | PATEL Yash | - | 3% | 15% | 30% | 32% | 17% | 4% |
| 79 | ZHANG William | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 80 | KUYKENDALL Logan | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 81 | SCOGGIN Charles | 54% | 36% | 9% | 1% | - | - | - |
| 82 | WILSON Logan | 12% | 35% | 35% | 15% | 3% | - | - |
| 83 | YAO Irvine | 15% | 38% | 33% | 12% | 2% | - | - |
| 84 | WANG Jonny | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
| 85 | DANA Miles | 38% | 41% | 17% | 4% | - | - | - |
| 86 | GAN Samuel | 31% | 43% | 21% | 4% | - | - | - |
| 87 | IBANEZ-CRUZ Adonis | 16% | 41% | 32% | 10% | 1% | - | |
| 88 | KABEALO Charles | 27% | 42% | 24% | 6% | 1% | - | - |
| 89 | REN Jonathan | < 1% | 6% | 23% | 35% | 26% | 9% | 1% |
| 89 | PATEL Krish | 13% | 37% | 35% | 13% | 2% | - | - |
| 91 | EVERETT Ben | < 1% | 10% | 30% | 35% | 19% | 5% | - |
| 92 | SMITH-HELFRICH Oliver | 1% | 11% | 42% | 36% | 10% | 1% | - |
| 93 | BERKOVITS Damon | 7% | 29% | 38% | 21% | 5% | 1% | - |
| 94 | SAFAI Bardia | 17% | 41% | 30% | 10% | 2% | - | - |
| 94 | KUYKENDALL Lucas | 22% | 40% | 28% | 9% | 1% | - | - |
| 96 | MORET Declan | 74% | 23% | 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.