NKY Fencing Academy (NKFA) - Ludlow, KY, 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 | NIXON Scott | - | - | 3% | 15% | 34% | 35% | 13% |
2 | BETTS Jr Anthony P. | - | - | 3% | 14% | 33% | 35% | 14% |
3 | YORK Joseph | - | - | 1% | 8% | 29% | 42% | 19% |
3 | MUMFORD Josh | - | 4% | 18% | 33% | 30% | 12% | 2% |
5 | TURNER Joshua | - | - | 2% | 11% | 33% | 39% | 15% |
6 | DAVIS Jennifer | 2% | 10% | 26% | 33% | 21% | 6% | 1% |
7 | FUCHS Robert | 1% | 10% | 27% | 34% | 21% | 6% | - |
8 | FAENOVA Alexandra | 32% | 44% | 20% | 3% | < 1% | - | - |
9 | PRIJATEL John R. | - | - | 1% | 7% | 27% | 42% | 23% |
10 | HINGSBERGEN Ryan | - | - | 3% | 17% | 38% | 32% | 9% |
11 | CARDENAS Nathan A. | - | - | - | 1% | 8% | 33% | 58% |
12 | YORKE Evan | 1% | 8% | 25% | 35% | 24% | 7% | - |
13 | LONG Erika | - | 7% | 29% | 37% | 21% | 5% | - |
14 | SAYLER Gordon | - | - | 5% | 21% | 37% | 28% | 8% |
15 | LEWTON Grace | - | 1% | 7% | 25% | 38% | 24% | 6% |
16 | REEN Stephen | 1% | 23% | 41% | 26% | 8% | 1% | - |
17 | METZ Evan | - | 1% | 8% | 28% | 38% | 21% | 4% |
18 | GILL Anhad | 15% | 37% | 33% | 13% | 2% | - | - |
19 | STAUBITZ Marc | 1% | 9% | 25% | 35% | 23% | 7% | 1% |
20 | MAI Carl D. | - | 6% | 25% | 38% | 24% | 6% | - |
21 | TLUCHOWSKI Sam | 9% | 32% | 38% | 17% | 3% | - | - |
22 | PLUMMER Ken | 11% | 49% | 31% | 8% | 1% | - | - |
23 | DELLAIRA Isabella | 8% | 26% | 34% | 23% | 8% | 1% | - |
24 | CRAFT David M. | 18% | 40% | 31% | 10% | 1% | - | - |
24 | HUCULAK Eerik | 1% | 9% | 28% | 37% | 20% | 4% | - |
26 | LAGONA Anna | 5% | 27% | 40% | 22% | 5% | 1% | - |
27 | HILDEBRANDT Matthew | 2% | 15% | 35% | 34% | 12% | 1% | - |
28 | DUTTON Kitty | 63% | 32% | 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.