Tileston Gym - Wilmington, NC, 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 | CLICK Aiden | - | - | - | 1% | 8% | 46% | 46% |
2 | JOSEPH William | - | - | - | 4% | 18% | 42% | 36% |
3 | MURRAY-GRAMLICH Robert | - | 1% | 8% | 28% | 39% | 20% | 3% |
3 | SPITTLE Jake | - | - | 3% | 16% | 37% | 36% | 8% |
5 | DAVIS Daniel | 2% | 13% | 31% | 33% | 17% | 4% | - |
6 | KMIEC Stephen M. | - | - | 1% | 8% | 25% | 41% | 24% |
7 | EVERHART Richard | - | - | - | 1% | 10% | 53% | 37% |
8 | KARNAVAS William | - | 5% | 22% | 37% | 27% | 8% | 1% |
9 | SANFORD Kenyatta L. | - | 5% | 34% | 40% | 17% | 3% | - |
10 | AMOROSO John | - | - | - | 1% | 10% | 38% | 51% |
11 | BUI Henry | - | 3% | 16% | 38% | 33% | 9% | 1% |
12 | DECKER Carlton | - | 1% | 12% | 39% | 44% | 4% | - |
13 | EDGECOMB Michael J. | - | - | 4% | 17% | 36% | 33% | 9% |
14 | CRAWFORD Charles (Marston) M. | - | 5% | 22% | 36% | 26% | 9% | 1% |
15 | PAPPAS Brian | - | 10% | 35% | 37% | 16% | 3% | - |
16 | RUSSELL James | - | 5% | 25% | 49% | 20% | 1% | - |
17 | JOSEPH Matthew | - | 4% | 19% | 36% | 30% | 10% | 1% |
18 | GOLDER Christiane | 13% | 37% | 34% | 13% | 2% | - | - |
19 | ODEA Ryan | 3% | 23% | 47% | 23% | 4% | - | - |
20 | BANKS Lauren M. | - | 1% | 6% | 21% | 35% | 28% | 8% |
21 | HEARTY Kai | 1% | 9% | 28% | 36% | 20% | 5% | - |
22 | HARRIS Lynn B. | 25% | 46% | 23% | 5% | - | - | - |
23 | HERRICK Kerry K. | 29% | 45% | 22% | 4% | - | - | - |
23 | JULIEN Erica | 46% | 40% | 12% | 2% | - | - | - |
25 | ARMES Maggie | 52% | 37% | 10% | 1% | - | - | - |
26 | KINNEY Michael R. | 6% | 50% | 35% | 8% | 1% | - | - |
27 | JONES Jackson | 13% | 37% | 33% | 14% | 3% | - | - |
28 | MADDOX Bailey | 6% | 34% | 40% | 16% | 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.