National Harbor, MD - 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 | MARX Jackson L. | - | - | - | - | 5% | 30% | 64% |
| 2 | XU Jia Bao (Bowen) | - | - | - | - | 4% | 28% | 68% |
| 3 | ALLEN Henry G. | - | 1% | 7% | 24% | 38% | 25% | 4% |
| 3 | YU Jason | - | - | 2% | 10% | 30% | 40% | 17% |
| 5 | QIAN Jason H. | - | - | - | 2% | 12% | 38% | 48% |
| 6 | TANG Alexander L. | - | - | - | 4% | 17% | 41% | 37% |
| 6 | LIU Ethan | - | - | 1% | 5% | 22% | 43% | 30% |
| 8 | MCALLISTER thomas | 9% | 29% | 35% | 21% | 6% | 1% | - |
| 9 | ZHANG Aaron | - | 1% | 5% | 23% | 40% | 25% | 5% |
| 10 | ZHANG Alex | - | - | 4% | 18% | 37% | 32% | 9% |
| 11 | GERRISH William | - | 3% | 13% | 31% | 35% | 17% | 2% |
| 12 | MAO Lucas | - | 2% | 14% | 33% | 34% | 15% | 2% |
| 13 | YAO Bradley | - | - | 2% | 13% | 38% | 40% | 7% |
| 14 | GULCHIN Mark | - | - | 4% | 18% | 37% | 32% | 8% |
| 15 | CHEN Kyle P. | - | - | - | 4% | 18% | 42% | 36% |
| 16 | LEE Brendan | - | 2% | 15% | 34% | 34% | 13% | 2% |
| 17 | HONG Logan | - | 5% | 22% | 35% | 27% | 9% | 1% |
| 18 | WONG Jackson | - | - | 5% | 21% | 39% | 29% | 6% |
| 19 | GUTH Joseph | - | 1% | 10% | 28% | 37% | 20% | 3% |
| 20 | SUAREZ Adrian | - | 1% | 8% | 26% | 38% | 23% | 3% |
| 21 | SENIC Lucas | - | 1% | 8% | 24% | 36% | 25% | 5% |
| 22 | RAJ Jay | - | 6% | 23% | 36% | 26% | 8% | 1% |
| 23 | SIMONOV Timofey | - | - | 2% | 13% | 34% | 38% | 13% |
| 24 | ZHAO Adam | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 25 | SHIM Peter S. | - | 2% | 16% | 38% | 34% | 10% | 1% |
| 26 | MO Ethan | - | - | 1% | 5% | 19% | 41% | 34% |
| 27 | BERNARD Cohen | - | 7% | 25% | 36% | 24% | 8% | 1% |
| 28 | ADAN Jacobo | - | - | 1% | 8% | 26% | 42% | 23% |
| 29 | TAN Aidan | 1% | 11% | 29% | 35% | 19% | 4% | - |
| 30 | SUI Samuel | 15% | 37% | 33% | 12% | 2% | - | - |
| 31 | CHA James | 2% | 16% | 36% | 32% | 12% | 2% | - |
| 32 | ZENG Rick | 8% | 30% | 37% | 20% | 5% | - | - |
| 33 | WONG Jacob W. | - | 3% | 15% | 33% | 33% | 14% | 1% |
| 33 | KOKES William | - | - | 2% | 13% | 33% | 37% | 14% |
| 35 | KIAYIAS Aris | 1% | 10% | 27% | 35% | 21% | 5% | 1% |
| 36 | KARPESHOV Maddox | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 37 | NORMILE Nicholas | 1% | 8% | 27% | 37% | 21% | 5% | - |
| 38 | GEOGHEGAN Logan | 8% | 31% | 36% | 19% | 5% | 1% | - |
| 39 | FOGELSON Hugh | 8% | 30% | 36% | 20% | 5% | 1% | - |
| 40 | PALMA Nathan Anthony | - | 6% | 24% | 37% | 25% | 7% | 1% |
| 41 | KOE Beckett | 1% | 11% | 38% | 36% | 12% | 1% | - |
| 42 | TANG Royce | - | 5% | 18% | 33% | 30% | 12% | 2% |
| 43 | VADEN Oliver | - | 2% | 15% | 38% | 34% | 10% | 1% |
| 44 | PENTON Ivan | 23% | 43% | 27% | 7% | 1% | - | - |
| 45 | YEVDAYEV Tamir | 2% | 13% | 31% | 34% | 17% | 4% | - |
| 46 | CATINO William | 26% | 42% | 25% | 7% | 1% | - | - |
| 47 | CHO Xzander | 22% | 52% | 23% | 4% | - | - | - |
| 48 | TAI Ethan | 4% | 19% | 37% | 29% | 10% | 1% | - |
| 49 | ONIK Ari N. | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 50 | VEDRE-KYANAM KABIR BAIG Aaradhya | 1% | 6% | 24% | 38% | 24% | 6% | 1% |
| 50 | TAI Justin | 2% | 14% | 32% | 33% | 15% | 3% | - |
| 52 | CHONG Tristan | 10% | 32% | 35% | 18% | 4% | - | - |
| 53 | PISTUN Nicholas | 23% | 41% | 27% | 8% | 1% | - | - |
| 54 | YU William | 68% | 29% | 3% | - | - | - | - |
| 55 | SHAW Spencer | 9% | 28% | 35% | 21% | 6% | 1% | - |
| 56 | MOY Madison | 12% | 34% | 35% | 15% | 3% | - | - |
| 57 | ALEXANDER John | 48% | 41% | 10% | 1% | - | - | - |
| 57 | MOSS Barry | 4% | 26% | 44% | 22% | 4% | - | - |
| 59 | JIN Andy | 31% | 42% | 22% | 5% | 1% | - | - |
| 60 | BLACK Henry | 4% | 28% | 41% | 22% | 5% | 1% | - |
| 61 | SCHULTZ Oliver | 2% | 11% | 29% | 34% | 19% | 5% | - |
| 61 | CAO Jorden | 41% | 42% | 15% | 2% | - | - | - |
| 61 | LIU Robert | 21% | 43% | 28% | 7% | 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.