Boston Fencing Club - Boston, MA, 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 | FOSS Persephone | - | 1% | 7% | 21% | 34% | 28% | 9% |
2 | CHAVAN Arya | - | - | - | 1% | 7% | 34% | 58% |
3 | RANDALL-COLLINS Shea M. | - | 1% | 4% | 17% | 35% | 33% | 11% |
3 | ZONG Eliane | 1% | 10% | 28% | 34% | 20% | 6% | 1% |
5 | CROOKS Riley | - | - | 4% | 15% | 32% | 34% | 14% |
6 | WONG Charlene | - | 1% | 8% | 27% | 39% | 22% | 3% |
7 | GONG Joy | - | - | 1% | 8% | 25% | 41% | 25% |
8 | YOON Sela | 2% | 15% | 31% | 31% | 16% | 4% | - |
9 | LEIGH Adalene | - | 3% | 13% | 29% | 33% | 18% | 4% |
10 | PARK Haylie | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
11 | CHOWDHERY Myra | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
12 | RIFKIN Lielle | 2% | 14% | 31% | 32% | 16% | 4% | - |
13 | LEE Kaitlin | - | 1% | 7% | 22% | 35% | 27% | 8% |
14 | MOTOVA Masha | 17% | 37% | 31% | 12% | 3% | - | - |
15 | YOUNG Sienna | - | 5% | 21% | 37% | 27% | 8% | 1% |
16 | STEVENS Ashelin | 4% | 20% | 35% | 28% | 11% | 2% | - |
17 | FIGELMAN Maya | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
18 | GALLAGHER Isabella | 2% | 12% | 28% | 33% | 19% | 5% | 1% |
19 | GUHA Surabhi | - | 1% | 9% | 28% | 38% | 21% | 3% |
20 | CHANG Elle | - | - | 2% | 11% | 30% | 38% | 19% |
21 | MAGITSKY Giadora | 3% | 21% | 38% | 28% | 9% | 1% | - |
22 | PALMIERI Giuliana M. | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
23 | SPIESS Linnea | 9% | 33% | 37% | 17% | 4% | - | - |
24 | BIBLER Anna | 2% | 12% | 28% | 33% | 20% | 6% | 1% |
25 | COX Catie | 12% | 32% | 34% | 17% | 4% | 1% | - |
26 | SMITH Genevieve | 39% | 42% | 16% | 3% | - | - | - |
27 | LIAO Amber | 30% | 41% | 22% | 6% | 1% | - | - |
28 | MCCARTHY Nora Louisa Abrous | 27% | 40% | 24% | 7% | 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.