Ultimate Fencing Academy - Dayton, NJ, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | 100% | 100% | 97% | 82% | 45% | 10% |
| 2 | SHABBIR Mohammad Amaan | 100% | 97% | 76% | 31% | 5% | - |
| 3 | HONG Evan | 100% | 99% | 90% | 64% | 29% | 6% |
| 3 | SELOT Arjun | 100% | 100% | 92% | 66% | 29% | 5% |
| 5 | COSTA Ferran | 100% | 100% | 99% | 89% | 53% | 11% |
| 6 | TANG David | 100% | 100% | 97% | 76% | 29% | 1% |
| 7 | MENG Yinuo | 100% | 98% | 83% | 47% | 14% | 1% |
| 8 | SUN Andrew | 100% | 100% | 94% | 67% | 27% | 3% |
| 9 | LIU Sophie Wei | 100% | 99% | 83% | 45% | 12% | 1% |
| 10 | AMER Khadijah | 100% | 97% | 77% | 36% | 7% | - |
| 11 | ZHANG Grace | 100% | 80% | 41% | 11% | 2% | - |
| 12 | WANG Alan | 100% | 71% | 22% | 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.