Phoenix Fencing Academy - Tempe, AZ, 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 | MANSKE Niul S | - | - | 2% | 12% | 32% | 38% | 15% |
2 | RITCHIE Phillip | - | - | 1% | 7% | 27% | 43% | 21% |
3 | PERKINS-OLLILA Justin | - | 1% | 5% | 22% | 39% | 28% | 6% |
3 | KIM Ian | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
5 | FOWLER James | - | - | 1% | 7% | 27% | 42% | 23% |
6 | MUNOZ Humberto | - | 2% | 12% | 29% | 34% | 19% | 4% |
7 | GOING Nick | - | - | 1% | 8% | 27% | 41% | 23% |
8 | PARKER Lane | - | 1% | 6% | 22% | 37% | 28% | 7% |
9 | WIEGAND-SHAHANI Braden | - | 6% | 30% | 39% | 20% | 4% | < 1% |
10 | PACK Tanner | - | 1% | 5% | 19% | 34% | 31% | 10% |
11 | GREGER Jack | - | 3% | 15% | 34% | 34% | 13% | 2% |
12 | VENET Téva | 2% | 14% | 32% | 32% | 16% | 4% | - |
13 | POPPRE Michael | - | - | 2% | 12% | 32% | 38% | 16% |
14 | ZANETTA Pierre-Marie | 6% | 24% | 36% | 25% | 8% | 1% | - |
15 | WERCHAN Andrew | - | 3% | 17% | 36% | 32% | 12% | 1% |
16 | SECREST Micah | 1% | 9% | 25% | 35% | 23% | 6% | 1% |
17 | KRAVETZ Benjamin | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
18 | KING Charles | - | 4% | 15% | 30% | 32% | 16% | 3% |
19 | FESTIN Michael | 5% | 31% | 40% | 20% | 4% | - | - |
20 | SAUCEDO Fernando | 1% | 14% | 33% | 33% | 16% | 4% | - |
21 | CUEVAS Tom | 5% | 24% | 38% | 25% | 7% | 1% | - |
22 | SAUCEDO Grecia | 11% | 35% | 34% | 16% | 4% | - | - |
23 | LAURSEN Logan | 13% | 35% | 34% | 15% | 3% | - | - |
24 | COLLINS Vernon | 9% | 29% | 36% | 20% | 5% | 1% | - |
24 | PYE Emily | 13% | 35% | 33% | 15% | 3% | - | - |
26 | HERRON Jonathan | 38% | 44% | 16% | 2% | - | - | - |
27 | FAYOLLE Luce | 4% | 22% | 38% | 26% | 8% | 1% | - |
28 | MITCHELL Cody | 18% | 40% | 30% | 10% | 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.