DC Fencers Club - Silver Spring, MD, 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 | LE BORGNE Matthieu | - | - | - | 3% | 15% | 40% | 41% |
2 | CHEN Brian | - | - | 4% | 16% | 33% | 34% | 13% |
3 | TAMULONIS Fen C. | - | 3% | 14% | 30% | 32% | 17% | 3% |
3 | TIKHONOV Ilia | - | - | 3% | 16% | 37% | 34% | 10% |
5 | HILBERT Gabriel E. | - | - | 1% | 9% | 28% | 40% | 21% |
6 | RIVERA RIVERA Christian | - | 1% | 8% | 23% | 34% | 25% | 8% |
7 | EVANS Grant | - | 1% | 8% | 27% | 38% | 23% | 5% |
8 | LEECH Braedan | 21% | 39% | 28% | 10% | 2% | - | - |
9 | YI Nathan | - | 2% | 18% | 38% | 30% | 10% | 1% |
10 | SWENSON Keane J. | - | 1% | 6% | 24% | 38% | 25% | 6% |
11 | TIKHONOV Daniel | - | - | 3% | 17% | 36% | 33% | 10% |
12 | CHANEY Charles | 16% | 38% | 31% | 12% | 2% | - | - |
13 | HULL Liam | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
14 | COFFEY Jacob | - | 3% | 14% | 31% | 33% | 16% | 2% |
15 | YANG Gary | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
16 | KIM Gene | 1% | 7% | 23% | 35% | 26% | 9% | 1% |
17 | SOKOL Luke | - | 3% | 13% | 30% | 34% | 17% | 3% |
18 | CHO Alex | 2% | 16% | 38% | 32% | 10% | 1% | - |
19 | SNIDER Jeffrey H. | - | - | 1% | 6% | 25% | 42% | 26% |
20 | BANNEN Nicholas | - | 4% | 25% | 39% | 24% | 7% | 1% |
21 | MEGGERS Davin | 1% | 10% | 27% | 33% | 21% | 6% | 1% |
22 | YU William | 2% | 13% | 30% | 32% | 17% | 4% | - |
23 | LIN Haley | 21% | 41% | 28% | 9% | 1% | - | - |
24 | STOUT Zachary | 22% | 53% | 21% | 3% | - | - | - |
25 | SUICO Kyubi Emmanuelle | 6% | 26% | 37% | 23% | 7% | 1% | - |
26 | ZHU Yiming | 30% | 43% | 22% | 4% | - | - | - |
27 | VELLALA Avinash | 7% | 26% | 35% | 23% | 8% | 1% | - |
28 | THOMPSON Josh | 55% | 39% | 6% | - | - | - | - |
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.