Fredericksburg Convention Center - Fredericksburg, VA, 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 | LIM EUNSEONG | - | - | - | 2% | 19% | 46% | 32% |
| 2 | WANG Mendy | - | - | - | - | 7% | 35% | 58% |
| 3 | CHANG Parker | - | - | - | 4% | 27% | 62% | 7% |
| 3 | WU Wallace | - | - | - | 1% | 9% | 36% | 53% |
| 5 | ZHAI Alex | - | 1% | 9% | 29% | 40% | 21% | |
| 5 | FAN Ze Lin | - | - | 3% | 15% | 41% | 41% | |
| 7 | HUYNH Matthew | - | - | 2% | 13% | 41% | 44% | |
| 8 | VENAFRO Tristan | - | 2% | 17% | 40% | 33% | 8% | |
| 9 | LIU Alex | - | - | - | 3% | 16% | 41% | 39% |
| 10 | RAU Shogun | - | - | 5% | 22% | 43% | 31% | |
| 11 | TAN Charlie | - | - | 4% | 19% | 44% | 34% | |
| 12 | SHOU Raymond | - | - | 2% | 19% | 46% | 28% | 5% |
| 13 | HUANG Dalynn | - | 2% | 9% | 26% | 36% | 23% | 5% |
| 14 | KIAYIAS Anthony | 1% | 11% | 31% | 37% | 18% | 3% | |
| 15 | CAO Aaron | - | 3% | 12% | 29% | 34% | 18% | 3% |
| 16 | ZHENG Lerui | - | - | 2% | 12% | 37% | 40% | 9% |
| 17 | LIN Lucas | - | 5% | 22% | 39% | 28% | 6% | |
| 18 | XIE Jayden | - | 4% | 20% | 38% | 30% | 8% | |
| 19 | SONG Enoch | - | 2% | 11% | 32% | 40% | 16% | |
| 20 | MCCOOL Henry | - | 5% | 21% | 38% | 28% | 7% | |
| 21 | ZHONG Yi | - | - | - | 1% | 7% | 32% | 60% |
| 22 | ZHONG Tian | - | - | 1% | 7% | 27% | 45% | 21% |
| 23 | LI Andrew | - | 4% | 17% | 33% | 32% | 13% | 2% |
| 24 | CHEN Ethan | - | 3% | 16% | 37% | 34% | 9% | 1% |
| 25 | CHEN Kyler | 1% | 8% | 25% | 35% | 23% | 7% | - |
| 26 | LI Aaron | - | 2% | 12% | 30% | 35% | 18% | 2% |
| 27 | CAO Joshua | - | 2% | 17% | 40% | 33% | 8% | |
| 28 | PARK Joshua | - | 14% | 36% | 34% | 14% | 2% | |
| 29 | MORALES Tycho | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 30 | TIAN Andy | - | 9% | 30% | 37% | 19% | 4% | |
| 31 | XU Jason | 2% | 14% | 35% | 34% | 14% | 2% | |
| 32 | BRADY David | 5% | 24% | 38% | 25% | 7% | 1% | - |
| 33 | ZHANG Eric | - | 1% | 6% | 25% | 43% | 22% | 3% |
| 34 | NG Chuck | 3% | 19% | 37% | 30% | 10% | 1% | - |
| 35 | LU Ethan | 14% | 37% | 34% | 13% | 2% | - | |
| 36 | FANG Lionel | 4% | 24% | 39% | 25% | 7% | 1% | |
| 37 | AGARWAL Jagrav | 2% | 14% | 33% | 34% | 15% | 2% | - |
| 38 | LIU Mason | 6% | 30% | 44% | 17% | 2% | - | - |
| 39 | YANG Luca | 2% | 17% | 42% | 30% | 8% | 1% | |
| 40 | HUYNH Kaleb | - | 6% | 23% | 38% | 27% | 6% | |
| 41 | JIAO Daniel | - | 10% | 31% | 37% | 19% | 3% | |
| 42 | HUANG Owen | 1% | 9% | 27% | 35% | 21% | 6% | - |
| 43 | SINGH Jai Anand | 1% | 13% | 35% | 35% | 13% | 2% | - |
| 44 | XU Jonathan | 11% | 34% | 34% | 16% | 4% | - | - |
| 45 | WU Connor | 20% | 47% | 28% | 5% | - | - | - |
| 46 | GENG Vincent | 13% | 33% | 33% | 17% | 4% | - | - |
| 47 | YU Oliver | 3% | 19% | 37% | 30% | 10% | 1% | |
| 48 | CHEN Keegan | 4% | 22% | 39% | 27% | 8% | 1% | |
| 49 | SU Sean | 4% | 20% | 37% | 29% | 9% | 1% | |
| 50 | LI Mason | 20% | 47% | 26% | 5% | - | - | |
| 51 | HAN Jayden | 20% | 41% | 29% | 9% | 1% | - | |
| 52 | REN Jonathan | 7% | 30% | 38% | 20% | 5% | - | |
| 53 | MOSAMEH Faraj | 42% | 43% | 13% | 2% | - | - | |
| 54 | ALANAZI Saif | - | 3% | 18% | 43% | 28% | 7% | - |
| 55 | HYUN Francis | 7% | 29% | 38% | 20% | 4% | - | - |
| 56 | KLINE Benjamin | 10% | 36% | 37% | 15% | 2% | - | - |
| 57 | JAZWINSKI Archer | 30% | 43% | 22% | 5% | - | - | - |
| 58 | HOLLANDER Max | 5% | 21% | 35% | 27% | 10% | 2% | - |
| 59 | NG Harry | 49% | 38% | 11% | 1% | - | - | |
| 60 | LEONG Michael | 47% | 40% | 12% | 2% | - | - | |
| 61 | SUN Zedong Eric | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 62 | MONTGOMERY Henry | 93% | 7% | - | - | - | - | |
| 63 | LEE Ryan | 26% | 41% | 25% | 7% | 1% | - | - |
| 64 | SAFAI Bardia | 37% | 45% | 16% | 2% | - | - | - |
| 65 | CREANGA Matthew | 42% | 42% | 14% | 2% | - | - | - |
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.