Arlington ESports Stadium - Arlington, 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 | QIAN Jason H. | - | - | - | - | 3% | 24% | 73% |
| 2 | LIU Ethan | - | - | - | 6% | 32% | 62% | |
| 3 | DERRICK Blake | - | - | - | 2% | 15% | 43% | 39% |
| 3 | RAJ Jay | - | - | 1% | 9% | 29% | 43% | 17% |
| 5 | XU Andy P. | - | - | - | 3% | 16% | 41% | 40% |
| 6 | CHOI Benjamin | - | 1% | 12% | 36% | 40% | 11% | |
| 7 | WU Alber Y. | - | - | 1% | 6% | 23% | 42% | 28% |
| 8 | LU Kevin | - | - | 1% | 11% | 41% | 47% | |
| 9 | LI Bradley | - | - | 2% | 16% | 47% | 36% | |
| 10 | ELKOUSY Zain al Din | - | 1% | 9% | 38% | 42% | 10% | |
| 11 | MAO Lucas | - | - | - | 8% | 37% | 55% | |
| 12 | DOELL Ethan | - | - | 3% | 17% | 43% | 38% | |
| 13 | CHUANG Oscar | - | 2% | 13% | 34% | 39% | 12% | |
| 14 | LU Alex | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 15 | WANDJI Noah | - | 4% | 19% | 36% | 30% | 10% | 1% |
| 16 | CHAN Joseph | - | 2% | 11% | 29% | 37% | 19% | 2% |
| 17 | TANG Alexander L. | - | - | 1% | 12% | 41% | 45% | |
| 18 | LIU Josh | 1% | 8% | 26% | 37% | 23% | 6% | - |
| 19 | PLUMMER Waylon | 2% | 15% | 33% | 32% | 14% | 3% | - |
| 20 | RODRIGUEZ Tyler | 1% | 7% | 27% | 39% | 23% | 3% | |
| 21 | LI Richard | - | 1% | 13% | 43% | 35% | 7% | |
| 22 | HUA Aaron | - | 5% | 25% | 43% | 24% | 3% | |
| 23 | ONG Nicholas | 1% | 9% | 29% | 38% | 20% | 3% | |
| 24 | ZHAO Adam | - | - | 3% | 21% | 49% | 28% | |
| 25 | ZHOU Shawn | - | 3% | 21% | 43% | 28% | 5% | |
| 26 | PARKER Isaiah | - | 2% | 19% | 48% | 26% | 4% | |
| 27 | BOESKIN Nolan | 1% | 8% | 31% | 40% | 18% | 2% | |
| 28 | QU Zhida (richard) | - | 6% | 24% | 37% | 25% | 7% | 1% |
| 29 | YOON junhyeok | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 30 | MCKEE Calvin | 11% | 41% | 38% | 9% | 1% | - | |
| 31 | MAZAHERI Fletcher | 1% | 11% | 30% | 34% | 18% | 4% | - |
| 32 | LI Edison M. | 5% | 23% | 37% | 26% | 9% | 1% | - |
| 33 | QIAN Zekai | 3% | 23% | 38% | 26% | 8% | 1% | - |
| 34 | ZHAO Nathan | - | 1% | 5% | 20% | 37% | 30% | 8% |
| 35 | BIELER Mason | - | 1% | 12% | 37% | 40% | 11% | |
| 36 | JOHNSON Soren | 1% | 13% | 41% | 34% | 10% | 1% | |
| 37 | LEE Jayden J. | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 38 | GRIGORIEV Michael | 3% | 22% | 40% | 27% | 7% | 1% | |
| 39 | KIM Gene | 3% | 24% | 48% | 21% | 3% | - | |
| 40 | WANG Elijah (QiChen) | 11% | 34% | 36% | 16% | 3% | - | |
| 41 | POPOKH Luca | 19% | 51% | 26% | 4% | - | - | |
| 42 | DESERANNO Leander | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 43 | CHEN Anson | 7% | 31% | 37% | 19% | 5% | - | - |
| 44 | GUO Joey | 29% | 43% | 22% | 5% | 1% | - | - |
| 45 | HALIM Seif | 4% | 20% | 36% | 29% | 11% | 2% | - |
| 46 | DHOKTE Neev | - | 7% | 25% | 37% | 25% | 6% | - |
| 47 | FANG Haoyu | 2% | 17% | 36% | 31% | 12% | 2% | - |
| 48 | PAN Ethan | 40% | 43% | 15% | 2% | - | - | |
| 49 | QIAN Henry | 1% | 13% | 39% | 35% | 11% | 1% | |
| 50 | ALVAREZ Sebastian | 21% | 50% | 24% | 4% | - | - | |
| 51 | CHENG Mason | 50% | 40% | 9% | 1% | - | - | |
| 52 | YE Jerry | 9% | 38% | 40% | 11% | 1% | - | |
| 53 | FRASER Rhys | 14% | 38% | 34% | 12% | 2% | - | |
| 54 | LAM Kirin | 46% | 42% | 11% | 1% | - | - | |
| 55 | JIN Xuechong Daniel | 16% | 39% | 31% | 11% | 2% | - | - |
| 56 | WU Thomas | 33% | 42% | 20% | 4% | - | - | - |
| 57 | GE Felix Fei | 1% | 8% | 26% | 36% | 23% | 6% | - |
| 58 | TEH Tang-Ngu | 46% | 40% | 12% | 2% | - | - | - |
| 59 | NUCKLES Caden | 15% | 38% | 33% | 12% | 2% | - | |
| 60 | CHIANG Aiden | 52% | 40% | 8% | - | - | - | |
| 61 | DIMINO Kartik | 20% | 52% | 23% | 4% | - | - | |
| 61 | DAI Calvin | 5% | 27% | 43% | 22% | 3% | - | |
| 63 | PARK Jubin | 47% | 41% | 11% | 1% | - | - | |
| 64 | GOVSHTEYN Avi | 54% | 36% | 9% | 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.