Modern Duelists Fencing Academy - Elkton, MD, 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 | SEIKEL Spencer | - | - | 1% | 8% | 42% | 49% | |
2 | ROBITZSKI David R. | - | - | 1% | 7% | 25% | 41% | 25% |
3 | MCCABE Kian | 1% | 11% | 34% | 39% | 15% | 1% | |
3 | PFEIL Shawn | - | - | 4% | 23% | 50% | 23% | |
5 | GAMBINO Robert A. | - | - | - | 1% | 18% | 81% | |
6 | HUTZ Michael B. | - | 2% | 12% | 32% | 39% | 15% | |
7 | DOLBOW Trevor | - | 2% | 11% | 29% | 36% | 20% | 3% |
8 | KARASICK Andrew | - | 5% | 24% | 42% | 27% | 2% | |
9 | MURPHY Megan | 1% | 11% | 29% | 33% | 19% | 6% | 1% |
10 | SIMS Martin L. | 2% | 25% | 42% | 25% | 6% | 1% | - |
11 | MILLIGAN Bruce C. | - | - | 4% | 19% | 44% | 32% | |
12 | CHAN Ian | 13% | 40% | 35% | 11% | 1% | - | |
13 | COLANDENE Matthew | - | 1% | 10% | 28% | 36% | 21% | 4% |
14 | KORMANN Joseph | 3% | 19% | 36% | 30% | 10% | 1% | |
15 | LORENZ Nathan | 10% | 31% | 36% | 18% | 4% | - | |
16 | TAN Theodore | 11% | 33% | 36% | 17% | 3% | - | |
17 | SOKALSKI Edwin | 7% | 27% | 38% | 22% | 5% | - | |
18 | MAGUIRE Timothy | 2% | 19% | 41% | 30% | 8% | - | |
19 | TRAN Alex | 16% | 38% | 32% | 12% | 2% | - | |
20 | DIPERSIO Vincent | 3% | 20% | 41% | 29% | 7% | - | |
21 | WOHNER Kenneth S. | 4% | 22% | 41% | 28% | 5% | - | |
22 | RENZ Sarah | 43% | 40% | 14% | 2% | - | - | - |
23 | CHI Evelyn | 41% | 47% | 11% | 1% | - | - | |
24 | KLOSS Robert | 32% | 44% | 20% | 3% | - | - | |
25 | CHI Andrew | 1% | 7% | 23% | 36% | 26% | 8% | 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.