Rockland Community College - Suffern, NY, 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 | GENTILE Vittoria | - | - | 3% | 14% | 34% | 36% | 13% |
2 | CROOKS Riley | - | - | 2% | 10% | 29% | 40% | 19% |
3 | BAIK Sarah | - | 1% | 5% | 18% | 33% | 31% | 11% |
3 | MACKAY Katherine | - | 3% | 15% | 35% | 35% | 12% | |
5 | GONG Joy | - | - | 1% | 8% | 26% | 41% | 23% |
6 | MYAT Chloe | - | 1% | 9% | 28% | 41% | 22% | |
7 | SHMULER Fiona | - | - | 1% | 7% | 30% | 45% | 17% |
8 | FOSS Persephone | - | 1% | 9% | 29% | 40% | 21% | |
9 | FUNG Iris | - | - | - | 4% | 19% | 46% | 31% |
10 | YANNOPOULOS Pompie | - | - | 1% | 7% | 25% | 42% | 24% |
11 | CASTELO Soleil | - | 2% | 9% | 25% | 34% | 24% | 6% |
12 | OSMINKINA-JONES Kai | - | 2% | 11% | 27% | 34% | 21% | 5% |
13 | BERRIOS Catalina | - | 1% | 8% | 28% | 42% | 20% | |
14 | AKULA Roszlynn | 2% | 12% | 28% | 33% | 19% | 5% | - |
15 | NG Sophia | 6% | 25% | 37% | 24% | 7% | 1% | - |
16 | MULLER Inara | 1% | 8% | 24% | 33% | 24% | 8% | 1% |
17 | GONZALEZ Veronika | - | - | - | 2% | 15% | 44% | 39% |
18 | IANNUZZI Lucy | - | - | 4% | 16% | 34% | 33% | 12% |
19 | SHEN Emily | - | - | 5% | 22% | 42% | 26% | 5% |
20 | WANG JiaQi | - | - | - | 4% | 22% | 46% | 28% |
21 | ZHANG Ashley | - | 1% | 6% | 24% | 43% | 26% | |
22 | BORGUETA Madison | - | - | 5% | 22% | 43% | 30% | |
23 | REN Katherine | - | 2% | 9% | 27% | 36% | 21% | 4% |
24 | CHOI Charlotte | - | - | 2% | 11% | 29% | 39% | 20% |
25 | LEE Kaitlin | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
26 | NANDA Maanika | - | 4% | 20% | 39% | 29% | 7% | |
27 | LIANG Claire | - | 3% | 19% | 38% | 31% | 8% | |
28 | GUHA Surabhi | 1% | 13% | 34% | 35% | 15% | 2% | |
29 | ZONG Eliane | 3% | 15% | 32% | 31% | 16% | 4% | - |
30 | RIFKIN Lielle | 1% | 6% | 22% | 37% | 27% | 7% | 1% |
31 | LEE Grace | 1% | 7% | 24% | 38% | 25% | 6% | |
32 | HUANG Pierra | 2% | 20% | 40% | 29% | 9% | 1% | |
33 | HARRISON Allie | 2% | 18% | 41% | 31% | 8% | 1% | - |
34 | WONG Charlene | 2% | 14% | 30% | 32% | 17% | 5% | - |
35 | ENG Madeleine | 5% | 21% | 35% | 27% | 10% | 2% | - |
36 | DESAUTELS Alexandra | 3% | 16% | 32% | 31% | 15% | 3% | - |
37 | MAK Jayden | 3% | 19% | 37% | 29% | 10% | 1% | |
38 | SHI Chuqing | 4% | 26% | 40% | 24% | 6% | 1% | |
39 | BHARDWAJ Riya | 17% | 38% | 31% | 11% | 2% | - | |
40 | PARK Haylie | 1% | 9% | 28% | 37% | 21% | 4% | |
41 | FIGELMAN Maya | 10% | 32% | 36% | 17% | 4% | - | |
42 | LEIGH Adalene | 1% | 10% | 27% | 34% | 20% | 6% | 1% |
43 | ZHAO Selena | 13% | 33% | 33% | 16% | 4% | - | - |
44 | REDA Sophie | 4% | 25% | 39% | 24% | 7% | 1% | |
45 | KIM Audrey | - | 4% | 18% | 36% | 32% | 10% | |
46 | HAGN Luna | 29% | 42% | 23% | 6% | 1% | - | |
47 | WANG MONA | 2% | 12% | 32% | 35% | 17% | 3% | - |
48 | JOHN Sophia | 1% | 8% | 30% | 40% | 18% | 3% | - |
49 | CONVERSO-PARSONS Maia | 25% | 43% | 25% | 7% | 1% | - | - |
50 | LIAO Amber | 17% | 40% | 31% | 11% | 2% | - | - |
51 | BARNES Sarah | 1% | 10% | 30% | 36% | 19% | 4% | - |
52 | WANG Keira | 6% | 25% | 38% | 25% | 7% | 1% | |
53 | PITRUN Viktorie | 4% | 20% | 37% | 29% | 10% | 1% | |
54 | YOUNG Sienna | 11% | 35% | 35% | 15% | 3% | - | |
55 | WANG Selina | 28% | 41% | 23% | 7% | 1% | - | - |
56 | MCCARTHY Nora Louisa Abrous | 19% | 38% | 30% | 11% | 2% | - | - |
57 | HARVEY-LEE Luisa | 6% | 24% | 35% | 25% | 9% | 1% | - |
58 | BUCCINO Sloane | 30% | 46% | 21% | 4% | - | - | - |
59 | NARAYANAN Sinduja | 2% | 13% | 31% | 33% | 17% | 4% | - |
60 | JONES Nima | 6% | 24% | 34% | 24% | 9% | 2% | - |
61 | DIBADJ Ava | 68% | 28% | 4% | - | - | - | |
62 | DEMRY Kylee | 55% | 35% | 9% | 1% | - | - | |
63 | LEUNG Ella | 26% | 41% | 25% | 7% | 1% | - | - |
64 | LEE Janice | 3% | 19% | 34% | 29% | 12% | 3% | - |
65 | WEI Madison | 3% | 14% | 31% | 32% | 16% | 4% | - |
66 | SMITH Genevieve | 26% | 47% | 23% | 4% | - | - | - |
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.