San Francisco, CA - San Francisco, CA, 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 | KIBBAR Tomer L. | - | 3% | 16% | 35% | 34% | 11% | |
2 | LIN Daniel | - | - | - | 1% | 11% | 42% | 45% |
3 | ROSBERG Dashiell W. | - | 1% | 8% | 27% | 41% | 23% | |
3 | LEUNG Cameron | - | - | 1% | 8% | 32% | 44% | 15% |
5 | FOX Nicholas | - | 1% | 6% | 26% | 46% | 21% | |
6 | GHAYALOD Ansh | - | - | 1% | 5% | 20% | 42% | 34% |
7 | RASMUSSEN Oliver | 3% | 14% | 30% | 31% | 17% | 4% | - |
8 | KLEIMAN Jakob | - | - | 2% | 16% | 45% | 37% | |
9 | HAO Anwen | 1% | 9% | 27% | 37% | 22% | 5% | |
10 | RAMANAN Jaisimh | 2% | 12% | 28% | 32% | 19% | 5% | 1% |
11 | BARBUTA Andrew | 5% | 21% | 34% | 27% | 11% | 2% | - |
12 | JAIN Aniket | 26% | 44% | 24% | 5% | - | - | |
13 | YUNG Andrew | 28% | 47% | 21% | 4% | - | - | - |
14 | KERZHNER Kevin | 1% | 12% | 34% | 37% | 14% | 2% | |
15 | SCOVILL Tenzin S. | - | 1% | 8% | 23% | 35% | 26% | 7% |
16 | WANG YiLe(Justin) | 6% | 23% | 34% | 25% | 9% | 2% | - |
17 | POFF James | - | - | 3% | 20% | 43% | 29% | 5% |
18 | STEWART Nicolas | 3% | 20% | 41% | 29% | 7% | 1% | - |
18 | RAMANAN Govind | 9% | 30% | 37% | 20% | 5% | - | |
21 | GARDNER Gabriel | 7% | 27% | 37% | 23% | 6% | 1% | |
22 | FILER Joshua | 11% | 37% | 37% | 14% | 2% | - | |
23 | CHIN Avery | 2% | 13% | 36% | 37% | 11% | 1% | - |
24 | MILLER-MORTON Kahlo | 9% | 31% | 37% | 19% | 4% | - | |
25 | FENG Zefan | 21% | 42% | 28% | 7% | 1% | - | - |
26 | RAO Adrit | 22% | 41% | 28% | 9% | 1% | - | |
27 | GAO Marcus | 4% | 19% | 33% | 28% | 12% | 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.