Main Hall Dallas Market Center - Dallas, TX, 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 | LIU Alex | 1% | 9% | 26% | 36% | 23% | 6% | |
| 2 | MCKEE Calvin | - | - | 1% | 8% | 30% | 42% | 19% |
| 3 | ELKOUSY Zain al Din | - | - | - | 3% | 16% | 39% | 41% |
| 3 | HUYNH Matthew | - | 2% | 15% | 38% | 35% | 10% | |
| 5 | PAN Ethan | - | - | 2% | 18% | 49% | 31% | |
| 6 | YUAN Zhihe | - | - | - | 1% | 11% | 41% | 47% |
| 7 | RAJ Jay | - | - | - | 2% | 12% | 40% | 46% |
| 8 | NUCKLES Caden | - | 1% | 13% | 34% | 35% | 15% | 2% |
| 9 | LIM EUNSEONG | - | - | 2% | 15% | 43% | 40% | |
| 10 | FEDELI Francesco | - | - | 1% | 9% | 36% | 54% | |
| 11 | WEI JR Shan | - | 2% | 12% | 36% | 39% | 11% | |
| 12 | FANG Haoyu | - | 2% | 13% | 31% | 37% | 17% | |
| 13 | FUKUDA Brando | - | - | 4% | 19% | 38% | 31% | 7% |
| 14 | CHENG Mason | 2% | 10% | 26% | 33% | 21% | 6% | 1% |
| 15 | GANAPATHI Eshan | 1% | 8% | 23% | 34% | 25% | 9% | 1% |
| 16 | POPOKH Luca | 1% | 8% | 31% | 41% | 18% | 2% | |
| 17 | CHANG Parker | - | - | 1% | 10% | 39% | 40% | 10% |
| 18 | CHEN Anson | - | 2% | 14% | 37% | 36% | 11% | |
| 19 | WANG Elijah (QiChen) | - | - | 2% | 14% | 47% | 37% | |
| 20 | LEE Abin | - | 1% | 8% | 31% | 44% | 17% | |
| 21 | GE Felix Fei | - | - | 2% | 15% | 42% | 41% | |
| 22 | CHEN Owen | - | 6% | 24% | 40% | 26% | 4% | |
| 23 | KUO Phineas | 1% | 9% | 26% | 36% | 23% | 5% | |
| 24 | HONG Edwin | - | 1% | 10% | 35% | 37% | 15% | 2% |
| 25 | LU Alex | - | - | 5% | 23% | 44% | 28% | |
| 26 | QIAN Zekai | - | 6% | 27% | 41% | 22% | 4% | |
| 27 | SUSANTO William | - | - | - | 7% | 37% | 44% | 12% |
| 28 | WEI-NAVARRO Augustus | 3% | 16% | 31% | 30% | 16% | 4% | - |
| 29 | YU Eric | - | - | 6% | 27% | 40% | 22% | 4% |
| 30 | SAFTA Aidan | 11% | 32% | 35% | 18% | 4% | - | |
| 31 | QU Zhida (richard) | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
| 32 | ZHENG GREGORY | 5% | 32% | 41% | 19% | 3% | - | |
| 33 | GRIGORIEV Michael | - | 3% | 18% | 38% | 30% | 10% | 1% |
| 34 | LAM Kirin | 1% | 7% | 27% | 40% | 23% | 3% | |
| 35 | DESERANNO Leander | - | - | - | 5% | 24% | 44% | 27% |
| 36 | LUKASIK Michael | 2% | 13% | 39% | 38% | 8% | 1% | - |
| 37 | CHOI Hunter | 1% | 16% | 40% | 33% | 9% | 1% | |
| 38 | YE Jerry | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 39 | ZHENG Austin | 2% | 18% | 46% | 27% | 6% | 1% | - |
| 40 | CAO Joshua | - | 4% | 24% | 39% | 26% | 7% | 1% |
| 41 | YANG Tate | 1% | 13% | 38% | 34% | 12% | 1% | |
| 42 | ZHAI Alex | 3% | 16% | 33% | 32% | 14% | 2% | |
| 43 | KAGAN Noah | 2% | 21% | 41% | 28% | 7% | 1% | |
| 44 | QIU Yiran | 67% | 29% | 4% | - | - | - | |
| 45 | KUBBA Krish | 8% | 34% | 38% | 17% | 3% | - | |
| 46 | FRANCIS Maximillian | 8% | 41% | 38% | 12% | 2% | - | |
| 47 | LEE Junehyuk | 2% | 15% | 42% | 33% | 8% | 1% | |
| 48 | BRADFORD-WATT Ezra | 39% | 45% | 14% | 2% | - | - | |
| 49 | HUDSON Arav | 5% | 26% | 43% | 22% | 3% | - | - |
| 50 | SONG Enoch | 1% | 11% | 36% | 39% | 12% | 1% | |
| 51 | LI Andy | 2% | 18% | 38% | 31% | 9% | 1% | |
| 52 | ALVAREZ Sebastian | 26% | 48% | 22% | 4% | - | - | |
| 53 | FRANCIS Sebastian | 15% | 36% | 32% | 14% | 3% | - | |
| 54 | DIMINO Kartik | 24% | 48% | 24% | 4% | - | - | |
| 55 | LIN Alden | 20% | 53% | 22% | 4% | - | - | - |
| 56 | LIN Evan | 35% | 48% | 15% | 2% | - | - | - |
| 57 | JAGADEESAN JASHWANTH | 36% | 43% | 18% | 3% | - | - | - |
| 58 | EHRMANN Gavin | 64% | 31% | 5% | - | - | - | |
| 59 | DEGRYSE Leopold | 48% | 39% | 11% | 1% | - | - | |
| 59 | DAI Calvin | 39% | 45% | 14% | 2% | - | - | |
| 61 | JOHNSON Trey | 14% | 44% | 33% | 8% | 1% | - | - |
| 62 | FAN Joseph-Junen | 12% | 31% | 33% | 18% | 5% | 1% | - |
| 63 | ZHANG Leo | 56% | 38% | 6% | - | - | - | - |
| 64 | HWANG Alexander | 35% | 48% | 15% | 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.