Rockland Community College, Eugene Levy Field House - 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 | LIU Charlene (Kai) | - | - | - | - | - | 1% | 99% |
2 | SONG Angela | - | - | 1% | 10% | 30% | 40% | 18% |
3 | YU Nicole J. | - | - | - | 1% | 8% | 37% | 54% |
3 | CAFASSO Natalya | - | - | - | 4% | 19% | 43% | 34% |
5 | WITTER Catherine A. | - | - | - | 2% | 13% | 40% | 46% |
6 | JOYAL Anne-Sophie | - | - | - | 3% | 16% | 40% | 40% |
7 | HUREL Bertille | - | - | 4% | 16% | 34% | 33% | 12% |
8 | RANDLEMAN Teresa | - | - | 1% | 6% | 26% | 50% | 18% |
9 | BRUNSON Nile | - | 1% | 6% | 26% | 39% | 23% | 5% |
10 | CHOY LeeAnn | - | - | - | 1% | 7% | 37% | 56% |
11 | YU Eva | 4% | 20% | 36% | 29% | 10% | 1% | - |
12 | WESER Veronica U. | - | - | 3% | 17% | 36% | 33% | 11% |
13 | XU Serena | - | 1% | 5% | 22% | 38% | 28% | 6% |
14 | BRAGG Leah | 1% | 9% | 28% | 35% | 21% | 6% | 1% |
15 | DEPOMMIER Isabelle | - | 1% | 6% | 23% | 42% | 29% | - |
16 | LEE Claire | - | - | 4% | 18% | 37% | 32% | 10% |
17 | SU Evelyn | - | 4% | 22% | 38% | 27% | 8% | 1% |
18 | FURMAN Maria | - | - | 3% | 14% | 35% | 36% | 11% |
19 | QI Julieanne | - | 1% | 10% | 30% | 39% | 18% | 2% |
20 | YOU Isabel B. | 3% | 18% | 34% | 29% | 12% | 2% | - |
21 | CAMPBELL Anahit M. | - | - | 2% | 13% | 34% | 37% | 14% |
22 | PRESMAN Aerin | - | - | 2% | 14% | 37% | 38% | 9% |
23 | LIN Victoria T. | 1% | 10% | 30% | 37% | 19% | 4% | - |
24 | XIAO Nancy | - | 1% | 10% | 30% | 37% | 18% | 3% |
25 | COLELLA Lauren | 4% | 25% | 40% | 24% | 6% | 1% | - |
26 | SHU Youshan | - | 1% | 5% | 19% | 35% | 31% | 10% |
27 | PETROFF Eva | 7% | 27% | 37% | 23% | 6% | - | - |
28 | ZOU You yang (Yoyo) | 1% | 8% | 27% | 38% | 22% | 5% | - |
29 | WEI Sherry | 1% | 15% | 34% | 32% | 15% | 3% | - |
30 | ILYAS Ayah | - | 3% | 16% | 33% | 32% | 14% | 2% |
31 | DESANTIS-IBANEZ Elena | 5% | 23% | 36% | 25% | 9% | 1% | - |
32 | MISHIMA Audrey | - | 5% | 20% | 35% | 29% | 11% | 1% |
33 | ZHU Serene M. | - | - | 4% | 16% | 34% | 34% | 12% |
34 | WANG Sophie Y. | - | 4% | 21% | 37% | 28% | 8% | 1% |
35 | PROKOP Jeannine A. | - | - | 5% | 23% | 39% | 27% | 6% |
36 | XU Sunia (Tai Yang) | - | 6% | 27% | 38% | 22% | 6% | 1% |
37 | NOVOJILOV Anastasia | - | 1% | 10% | 29% | 38% | 20% | 3% |
38 | TRAN Helena | - | 3% | 16% | 36% | 32% | 12% | 1% |
38 | CHI Sarah | 10% | 36% | 36% | 15% | 3% | - | - |
40 | WILLIAMSON Beatrix | 6% | 29% | 42% | 19% | 4% | - | - |
41 | SHANKERDAS Shreeya | 2% | 15% | 36% | 32% | 12% | 2% | - |
42 | KAUR Manroop | - | 3% | 16% | 33% | 32% | 14% | 2% |
43 | FANG Jocelyn | 3% | 22% | 39% | 27% | 8% | 1% | - |
44 | PAN Angela | 3% | 18% | 37% | 31% | 10% | 1% | - |
45 | EKSHTUT Leah | 26% | 46% | 24% | 4% | - | - | - |
46 | YAO Chloe | 10% | 31% | 36% | 19% | 4% | - | - |
47 | JUDICKE Olivia | 3% | 17% | 33% | 30% | 14% | 3% | - |
48 | ELKHATEEB Fajr | 1% | 10% | 31% | 37% | 18% | 3% | - |
49 | LEE Gloria Y. | 1% | 6% | 21% | 37% | 28% | 6% | - |
50 | MASTRONARDI Laura | 6% | 31% | 40% | 19% | 4% | - | - |
51 | DU Andria | 6% | 33% | 38% | 18% | 4% | - | - |
52 | LAWSON Marie A. | - | < 1% | 1% | 11% | 33% | 39% | 16% |
53 | BYRON Karen J. | 1% | 9% | 29% | 37% | 20% | 4% | - |
54 | TCHERNYSHOV ANNA | 11% | 32% | 36% | 18% | 4% | - | - |
54 | MONITTO Malina | 56% | 36% | 8% | 1% | - | - | - |
56 | GEFFNER Olivia | 36% | 47% | 15% | 2% | - | - | - |
57 | SATO Elyse | 33% | 49% | 16% | 2% | - | - | - |
57 | QUADRI Saira | 27% | 45% | 23% | 4% | - | - | - |
59 | HALL Henrietta | 73% | 23% | 3% | - | - | - | - |
60 | DUNNE Jessica | 39% | 42% | 16% | 3% | - | - | - |
61 | DANNHAUSER Carol A. | 24% | 40% | 26% | 8% | 1% | - | - |
62 | ALVAREZ Martine | 59% | 34% | 7% | 1% | - | - | - |
62 | CHEN Ava | 61% | 32% | 6% | 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.