Ultimate Fencing Academy - Dayton, NJ, 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 | ||
| 1 | NG Remy | - | 3% | 16% | 37% | 35% | 10% |
| 2 | SHABBIR Mohammad Amaan | 3% | 21% | 45% | 27% | 5% | - |
| 3 | HONG Evan | 1% | 9% | 26% | 36% | 23% | 6% |
| 3 | SELOT Arjun | - | 7% | 26% | 37% | 23% | 5% |
| 5 | COSTA Ferran | - | 1% | 10% | 37% | 41% | 11% |
| 6 | TANG David | - | 3% | 21% | 47% | 27% | 1% |
| 7 | MENG Yinuo | 2% | 15% | 36% | 33% | 12% | 1% |
| 8 | SUN Andrew | - | 6% | 27% | 41% | 24% | 3% |
| 9 | LIU Sophie Wei | 1% | 16% | 37% | 33% | 11% | 1% |
| 10 | AMER Khadijah | 3% | 20% | 40% | 29% | 7% | - |
| 11 | ZHANG Grace | 20% | 40% | 29% | 10% | 1% | - |
| 12 | WANG Alan | 29% | 49% | 20% | 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.