Davis Fencing Academy - Davis, CA, 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 | 6 | ||
1 | GREEN Ummi | 100% | 100% | 98% | 84% | 43% | 6% | |
2 | YAMASAKI Kyle A. | 100% | 100% | 100% | 99% | 95% | 74% | 32% |
3 | PHILIPPINE Matthias A. | 100% | 100% | 100% | 99% | 88% | 48% | |
3 | GREEN Jabreel | 100% | 100% | 98% | 83% | 46% | 11% | |
5 | YAO Geoffrey B. | 100% | 99% | 91% | 66% | 31% | 8% | 1% |
6 | SINHA Zaan | 100% | 95% | 69% | 27% | 5% | - | |
7 | PHILIPPINE Johan L. | 100% | 100% | 100% | 100% | 96% | 80% | 39% |
8 | LUONG Allen | 100% | 100% | 93% | 69% | 32% | 7% | 1% |
9 | HELGE James R. | 100% | 100% | 100% | 98% | 88% | 54% | 10% |
10 | MING Nathan | 100% | 83% | 41% | 9% | 1% | - | |
11 | WELDON Benjamin | 100% | 100% | 98% | 89% | 63% | 26% | 4% |
12 | HE Zhiheng | 100% | 99% | 87% | 55% | 19% | 3% | - |
13 | SIU Darren | 100% | 97% | 79% | 45% | 15% | 3% | - |
14 | ADUG Mathew | 100% | 98% | 85% | 55% | 21% | 4% | - |
15 | WATT Darren | 100% | 94% | 70% | 33% | 8% | 1% | - |
16 | ANGADALA Leela Krishna | 100% | 85% | 48% | 16% | 3% | - | - |
17 | ZAYDMAN David M. | 100% | 99% | 88% | 60% | 25% | 5% | - |
18 | NORTON Brendan E. | 100% | 100% | 99% | 93% | 68% | 26% | |
19 | HEINS Dylan | 100% | 100% | 94% | 68% | 27% | 3% | |
20 | HEPLER Sarah | 100% | 94% | 70% | 34% | 9% | 1% | |
21 | JEFFERIES Jonathan J. | 100% | 100% | 93% | 67% | 27% | 4% | |
22 | LIPTON Michael D. | 100% | 92% | 57% | 18% | 2% | - | |
23 | SINHA Zara | 100% | 84% | 44% | 12% | 2% | - | |
24 | SIRBU Dan | 100% | 85% | 44% | 11% | 1% | - | - |
25 | CHA Eugenie | 100% | 94% | 71% | 38% | 13% | 2% | - |
26 | RICH Caroline B. | 100% | 59% | 17% | 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.