North Haven High School - North Haven, CT, 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 | ||
1 | ZHOU Catherine | 26% | 44% | 25% | 5% | |
2 | THIRUVENGADAM Harini | 32% | 45% | 20% | 4% | < 1% |
3 | WININGER-SIEVE Taylor | 7% | 42% | 40% | 11% | 1% |
4 | FULIGNI Isabella | 30% | 44% | 21% | 4% | < 1% |
5 | GAO Zhuning | 60% | 35% | 5% | ||
6 | LURIX Elise | 31% | 45% | 21% | 3% | |
7 | MCDERMOTT Catherine | - | 2% | 16% | 45% | 37% |
8 | ZHANG Angela | 2% | 18% | 56% | 22% | 2% |
9 | ROBINSON Simera | 5% | 29% | 45% | 21% | |
10 | MORIN Charlotte | 60% | 35% | 5% | < 1% | |
11 | DODGE Skylar | 3% | 28% | 56% | 12% | |
12 | SMITH Taylor | 2% | 18% | 39% | 32% | 8% |
14 | STRASSEL Reagan | 2% | 14% | 35% | 36% | 13% |
15 | MORRISSEY Sara | 9% | 33% | 41% | 17% | |
17 | WEILBACHER Leilani | 7% | 31% | 43% | 19% | |
19 | ISENBURG Jolie | 12% | 37% | 38% | 13% | |
20 | HSIAO Jacqueline | 1% | 19% | 49% | 31% | |
21 | NYKYFORCHYN Danielle | 11% | 49% | 39% | ||
23 | JUHOLA Kylie | - | 5% | 23% | 43% | 28% |
24 | STONE Makenna | 2% | 14% | 37% | 36% | 12% |
25 | RODES Abigail | 1% | 13% | 40% | 37% | 9% |
30 | CROWELL Kaitlyn | 5% | 39% | 43% | 12% | |
31 | BROWN Malayshia | 7% | 27% | 38% | 23% | 5% |
35 | OTANO Ava | 2% | 16% | 37% | 34% | 10% |
38 | BLUME Sierra | 11% | 38% | 39% | 12% | |
40 | AMENDOLA Kirsten | 16% | 45% | 34% | 5% | |
41 | VICTOR Victoria | 11% | 51% | 38% | ||
43 | WATROUS Claire | 13% | 38% | 37% | 12% | |
44 | MUSCHINSKY Cora | 6% | 26% | 42% | 24% | 3% |
45 | JUHOLA Avery | 6% | 29% | 44% | 21% | |
46 | LAVOIE Jessica | 21% | 45% | 29% | 5% | |
47 | FOLEY Michaela | 3% | 23% | 47% | 27% | |
50 | MADDEN McKayla | 31% | 44% | 21% | 4% | - |
52 | DENNISTON Mor | 11% | 35% | 38% | 15% | 2% |
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.