San Diego Jewish Academy - San Diego, CA, 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 | ||
1 | SODERBERG Alex Z. | - | - | - | 2% | 19% | 80% |
2 | HIGGINS Branford | - | - | 3% | 19% | 45% | 32% |
3 | BAILEY Creston P. | - | - | 2% | 17% | 45% | 36% |
3 | ROBITZSKI Daniel A. | - | - | 3% | 17% | 43% | 37% |
5 | LEE Royce | 6% | 27% | 39% | 23% | 5% | < 1% |
6 | JOHNSTON Conner S. | - | - | 1% | 8% | 36% | 55% |
7 | FIECHTNER Thomas A. | - | - | 5% | 26% | 46% | 23% |
8 | THOMAS Michael | - | - | 15% | 50% | 30% | 5% |
9 | HILLSTROM Nathan | - | 3% | 18% | 41% | 31% | 7% |
10 | LUNDE Drew | 3% | 23% | 49% | 21% | 3% | - |
11 | ALEXANDER Charles | - | 1% | 9% | 35% | 41% | 13% |
12 | NORTON Henry | 18% | 40% | 31% | 10% | 1% | - |
13 | ZAROTSKY Ronald | - | 5% | 22% | 41% | 29% | 3% |
14 | DILLON Anik | 5% | 24% | 40% | 26% | 6% | - |
15 | SOLONOVICH Maksim | 13% | 40% | 34% | 11% | 1% | - |
16 | CHARETTE Matthew | 7% | 29% | 40% | 20% | 3% | - |
17 | BANGAYAN Anthony | 6% | 44% | 37% | 12% | 2% | - |
18 | SETTE Alessandro | 1% | 11% | 32% | 39% | 16% | 2% |
19 | HARRIS Roark S. | - | 1% | 8% | 32% | 43% | 16% |
20 | HEWITT Frank F. | - | 4% | 22% | 41% | 28% | 6% |
21 | NEISINGH Isabelle | 11% | 40% | 36% | 12% | 1% | - |
22 | GUESNARD Maelig | 10% | 32% | 37% | 18% | 3% | - |
23 | KURITZ Marc M. | - | 5% | 23% | 41% | 26% | 5% |
24 | BARTON Isabelle | 12% | 70% | 17% | 1% | - | - |
25 | CHAN Allison M. | 27% | 42% | 24% | 6% | 1% | - |
26 | SAMIMI Sina | 14% | 65% | 19% | 1% | - | - |
27 | ADDLEMAN Joshua | - | 7% | 56% | 31% | 5% | - |
28 | ROLAND Nikolas | 28% | 57% | 14% | 1% | - | - |
29 | GAYLORD Ronan | 8% | 33% | 39% | 17% | 2% | - |
30 | AGUIRRE Karla | 64% | 30% | 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.