Brandeis University - Boston, MA, 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 | ZUCKER Noah L. | - | - | 1% | 6% | 33% | 60% |
2 | PRIHODKO Andrew | - | 2% | 17% | 38% | 33% | 10% |
3 | DEPOMMIER Remi | - | 3% | 22% | 40% | 28% | 6% |
3 | STEWART Robert | - | 4% | 19% | 36% | 31% | 10% |
5 | BUSH Thomas | - | 2% | 12% | 32% | 37% | 16% |
6 | FOLEY Kevin | - | 3% | 18% | 39% | 33% | 6% |
7 | YAKIMENKO Andrei | - | 4% | 24% | 41% | 26% | 5% |
8 | PHO Eric | - | - | 6% | 26% | 43% | 25% |
9 | SPRINGER Michael | - | 5% | 22% | 37% | 27% | 7% |
10 | NEALE James H. | - | 3% | 15% | 33% | 35% | 14% |
11 | HITCHCOCK David | - | 1% | 8% | 26% | 41% | 24% |
12 | THORDARSON Paul (Thor) J. | 1% | 6% | 21% | 36% | 28% | 8% |
13 | HEKMAT Sina R. | - | 5% | 19% | 35% | 31% | 10% |
14 | HARRELL D. Fox | 4% | 21% | 37% | 28% | 9% | 1% |
15 | CAFASSO Martin | 9% | 30% | 36% | 20% | 5% | - |
16 | JONES John (Mike) M. | 3% | 20% | 39% | 29% | 8% | 1% |
17 | KANE Tim | 2% | 12% | 29% | 34% | 19% | 4% |
18 | MARINI Davide | 5% | 22% | 36% | 27% | 9% | 1% |
19 | ROUSE Joseph (Joe) T. | 3% | 22% | 39% | 28% | 7% | - |
20 | MASTRONARDI Joseph M. | 8% | 27% | 35% | 22% | 6% | 1% |
21 | SANTOS Felipe | 3% | 23% | 38% | 26% | 8% | 1% |
22 | HU Jansen T. | 6% | 49% | 34% | 9% | 1% | - |
23 | SPAHN Jeff | 2% | 12% | 30% | 35% | 18% | 3% |
24 | KAIN Brad | 14% | 36% | 33% | 14% | 3% | - |
25 | NGUYEN Thanh H. | 2% | 15% | 35% | 33% | 14% | 2% |
26 | GAO "George" Xiaojiang | 53% | 37% | 9% | 1% | - | - |
27 | KNIGHT Keith S. | 17% | 37% | 31% | 12% | 2% | - |
28 | MARSHALL William L. | 2% | 17% | 38% | 32% | 10% | 1% |
28 | WHITELOCK James R. | 57% | 34% | 8% | 1% | - | - |
30 | TARDIFF Seth | 82% | 17% | 1% | - | - | - |
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.