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 | KIM Sterling S. | - | - | 3% | 18% | 43% | 36% |
2 | KIM Sullivan | - | - | 2% | 14% | 41% | 43% |
3 | SODERBERG Alex Z. | - | - | 1% | 7% | 33% | 60% |
3 | SINGHA Orion | - | - | - | 5% | 32% | 63% |
5 | LEE Royce | 3% | 26% | 40% | 24% | 6% | 1% |
6 | DILLON Anik | 7% | 41% | 37% | 12% | 2% | - |
7 | SETTE Alessandro | - | 6% | 25% | 39% | 24% | 5% |
8 | THOMAS Michael | 1% | 11% | 31% | 36% | 18% | 3% |
9 | BACA Anthony | 14% | 45% | 31% | 8% | 1% | - |
10 | AGUIRRE VILLA YAEL FERNANDO | 3% | 19% | 38% | 30% | 9% | 1% |
11 | YAO Derek (Shunyu) | - | 2% | 14% | 41% | 36% | 6% |
12 | BLAKESLEE Garrett H. | 7% | 32% | 38% | 19% | 4% | - |
13 | MIAO Kunqi | 1% | 10% | 31% | 38% | 17% | 2% |
14 | HERBRANDSON Luke | 16% | 38% | 32% | 11% | 2% | - |
15 | WESTON Tom | - | 2% | 12% | 33% | 38% | 15% |
16 | MCDONALD Ethan | - | 9% | 33% | 40% | 16% | 1% |
17 | VALBUENA Xavier | - | 8% | 32% | 40% | 18% | 2% |
18 | WILLIAMS Terrill D. | - | 2% | 13% | 36% | 39% | 10% |
19 | ALEXANDER Chuck | - | 1% | 9% | 29% | 41% | 20% |
20 | HAU Pak-Kei | - | 3% | 20% | 43% | 29% | 4% |
21 | LUNDE Drew | 18% | 46% | 29% | 6% | 1% | - |
22 | LIANG Donny | 20% | 41% | 28% | 9% | 1% | - |
23 | ALLEN David | 2% | 17% | 38% | 31% | 11% | 1% |
24 | LEON Miguel | 5% | 27% | 43% | 21% | 4% | - |
25 | BAILEY Creston P. | - | 3% | 20% | 41% | 30% | 5% |
26 | HOFFMAN Tyler | 68% | 28% | 4% | - | - | - |
27 | KIM Remington | 36% | 44% | 17% | 2% | - | - |
28 | GELNAW William (Gypsy) H. | < 1% | 4% | 18% | 36% | 32% | 9% |
28 | XUE Chenming | 70% | 26% | 4% | - | - | - |
30 | STOKES Brian | 13% | 41% | 33% | 11% | 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.