San Francisco, CA - San Francisco, 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 | KIBBAR Tomer L. | 100% | 100% | 97% | 80% | 45% | 11% | |
2 | LIN Daniel | 100% | 100% | 100% | 100% | 99% | 88% | 45% |
3 | ROSBERG Dashiell W. | 100% | 100% | 99% | 91% | 64% | 23% | |
3 | LEUNG Cameron | 100% | 100% | 100% | 99% | 91% | 59% | 15% |
5 | FOX Nicholas | 100% | 100% | 99% | 93% | 67% | 21% | |
6 | GHAYALOD Ansh | 100% | 100% | 100% | 99% | 95% | 75% | 34% |
7 | RASMUSSEN Oliver | 100% | 97% | 83% | 53% | 22% | 5% | - |
8 | KLEIMAN Jakob | 100% | 100% | 100% | 98% | 82% | 37% | |
9 | HAO Anwen | 100% | 99% | 90% | 63% | 26% | 5% | |
10 | RAMANAN Jaisimh | 100% | 98% | 86% | 58% | 25% | 6% | 1% |
11 | BARBUTA Andrew | 100% | 95% | 73% | 39% | 12% | 2% | - |
12 | JAIN Aniket | 100% | 74% | 30% | 6% | - | - | |
13 | YUNG Andrew | 100% | 72% | 25% | 4% | - | - | - |
14 | KERZHNER Kevin | 100% | 99% | 87% | 53% | 15% | 2% | |
15 | SCOVILL Tenzin S. | 100% | 100% | 98% | 91% | 68% | 33% | 7% |
16 | WANG YiLe(Justin) | 100% | 94% | 70% | 36% | 11% | 2% | - |
17 | POFF James | 100% | 100% | 100% | 96% | 77% | 34% | 5% |
18 | STEWART Nicolas | 100% | 97% | 78% | 37% | 8% | 1% | - |
18 | RAMANAN Govind | 100% | 91% | 61% | 25% | 5% | - | |
21 | GARDNER Gabriel | 100% | 93% | 67% | 30% | 7% | 1% | |
22 | FILER Joshua | 100% | 89% | 52% | 16% | 2% | - | |
23 | CHIN Avery | 100% | 98% | 85% | 49% | 12% | 1% | - |
24 | MILLER-MORTON Kahlo | 100% | 91% | 60% | 23% | 4% | - | |
25 | FENG Zefan | 100% | 79% | 36% | 8% | 1% | - | - |
26 | RAO Adrit | 100% | 78% | 38% | 10% | 1% | - | |
27 | GAO Marcus | 100% | 96% | 76% | 43% | 15% | 3% | - |
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.