Nittany Valley Sports Centre - State College, PA, 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 | LIN James G. | - | - | - | - | 2% | 20% | 79% |
2 | MILLER Jordan | - | 1% | 6% | 20% | 35% | 30% | 9% |
3 | TAM Kyle | - | 4% | 21% | 37% | 27% | 9% | 1% |
3 | SEIB-LEVINSON Conrad | - | - | 1% | 7% | 26% | 43% | 24% |
5 | BLACK Zachary | - | 1% | 4% | 16% | 34% | 34% | 12% |
6 | SUN Henry | - | 1% | 5% | 20% | 39% | 29% | 7% |
7 | ZHANG GAVIN J | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
8 | HERNANDEZ BERRON Salvador | - | 3% | 18% | 37% | 32% | 9% | - |
9 | SALEH Omar | - | - | 3% | 15% | 34% | 35% | 14% |
10 | STAFFORD Gareth | 2% | 13% | 31% | 33% | 17% | 4% | - |
11 | MONTERROSO Sebastian | 14% | 36% | 34% | 14% | 2% | - | - |
12 | YIN Zixin(Gavin) | - | - | 2% | 11% | 32% | 40% | 16% |
13 | MILLER Dillon | - | - | 4% | 18% | 40% | 34% | 4% |
14 | POLONI Giovanni | - | - | 3% | 17% | 35% | 33% | 11% |
15 | POWELL Sean | 5% | 29% | 40% | 21% | 5% | - | - |
16 | HOLLIS Sean | - | - | 6% | 23% | 37% | 26% | 7% |
17 | ABRAMKIN Tim | - | 5% | 21% | 38% | 28% | 7% | - |
18 | GODIN Willis | 10% | 30% | 36% | 19% | 5% | 1% | - |
19 | TARCHICHI Robby | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
20 | ABRAMSOHN Seth | - | 2% | 17% | 35% | 31% | 12% | 2% |
21 | CHANDRAMOHAN Aran | 7% | 26% | 36% | 23% | 7% | 1% | - |
22 | DESMOND Sterling | 3% | 20% | 39% | 29% | 9% | 1% | - |
23 | BLACK Henry | 6% | 24% | 37% | 25% | 7% | 1% | - |
24 | BUNTON Jacob | 61% | 34% | 5% | - | - | - | - |
25 | ROJAS Elijah | 6% | 24% | 37% | 25% | 7% | 1% | - |
26 | GALVAN Omar | 56% | 35% | 8% | 1% | - | - | - |
27 | WEI Chikwan | 6% | 24% | 35% | 24% | 8% | 1% | - |
28 | LOVELACE Vander | 17% | 53% | 25% | 5% | - | - | - |
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.