Boston, MA - 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 | 6 | ||
1 | SHAH Maximilian A. | - | - | 3% | 17% | 36% | 33% | 10% |
2 | LONCAR Luka E. | - | - | 1% | 7% | 26% | 42% | 24% |
3 | COLLYMORE Spencer T. | - | - | 1% | 5% | 22% | 43% | 30% |
3 | WU Joseph | - | - | 2% | 14% | 35% | 36% | 12% |
5 | JIN Owen | - | - | 2% | 12% | 31% | 37% | 17% |
6 | SIMPSON Patrick | - | - | 3% | 16% | 36% | 34% | 10% |
7 | PRIHODKO Max | - | 4% | 17% | 33% | 30% | 13% | 2% |
8 | FLECKENSTEIN Benjamin T. | - | 4% | 25% | 39% | 25% | 6% | 1% |
9 | PAPAVASSILIOU Christos | - | 1% | 7% | 23% | 38% | 26% | 6% |
10 | INSLER Ethan C. | - | - | 1% | 7% | 26% | 43% | 24% |
11 | HERMANSON David B. | - | 2% | 11% | 32% | 36% | 17% | 3% |
12 | LANGTON Sawyer | - | 3% | 14% | 30% | 33% | 17% | 3% |
13 | WU Jonathan | 5% | 28% | 41% | 21% | 5% | 1% | - |
14 | MORSE Tyler | - | 1% | 6% | 20% | 35% | 29% | 9% |
15 | CHOI Mason | - | 5% | 28% | 40% | 22% | 5% | - |
15 | PAHLAVI Kamran | 1% | 10% | 29% | 36% | 19% | 4% | - |
17 | RICHARD Owen | - | 1% | 6% | 24% | 39% | 25% | 6% |
18 | GOHEL Dayus T. | - | - | 4% | 19% | 38% | 31% | 8% |
19 | LAI Aiden | 10% | 33% | 36% | 17% | 4% | - | - |
20 | MACNEILL Owen | 10% | 57% | 28% | 5% | - | - | - |
21 | JANKOWICH Alexander E. | 3% | 17% | 34% | 30% | 13% | 3% | - |
22 | ZHANG William | 5% | 23% | 37% | 26% | 8% | 1% | - |
23 | KUBATIN Anton V. | 54% | 37% | 9% | 1% | - | - | - |
23 | HA Daniel | 7% | 28% | 36% | 22% | 6% | 1% | - |
25 | MORTIMER Gavin | 31% | 42% | 21% | 5% | 1% | - | - |
26 | FENG Du | 77% | 22% | 2% | - | - | - | - |
27 | FRASSETTO Marcus A. | 28% | 42% | 23% | 6% | 1% | - | - |
28 | ROLLO Emmett H. | 6% | 33% | 40% | 17% | 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.