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 | QI Julieanne | - | - | - | 4% | 17% | 41% | 38% |
2 | BECKMAN Ana | - | - | - | 2% | 22% | 76% | |
3 | FURMAN Maria | - | - | - | 3% | 25% | 71% | |
3 | LEE Claire | - | - | - | 1% | 6% | 32% | 61% |
5 | WONG Sydney | - | 2% | 12% | 33% | 36% | 16% | 2% |
6 | LIANG Jingjing | - | - | 3% | 15% | 35% | 36% | 11% |
7 | PRESMAN Aerin | - | - | - | 3% | 17% | 42% | 38% |
8 | CHEN Alina | - | 3% | 18% | 43% | 33% | 3% | |
9 | BISONO Valentina | - | 1% | 8% | 24% | 35% | 25% | 6% |
10 | LI Caroline | - | - | 2% | 12% | 30% | 37% | 18% |
11 | MENG YIFAN | - | - | 1% | 6% | 25% | 43% | 25% |
12 | ZHONG Evelyn | 6% | 32% | 41% | 19% | 3% | ||
13 | YANAGIDA Coco | 19% | 40% | 29% | 10% | 2% | - | - |
14 | GOLIYAD Lisa | - | 4% | 16% | 32% | 32% | 15% | 2% |
15 | LOBANOVA Varvara | - | 1% | 7% | 22% | 35% | 28% | 8% |
16 | ZHENG Erin | - | 4% | 18% | 35% | 30% | 11% | 1% |
17 | JIANG Chenxi | 12% | 36% | 35% | 14% | 2% | < 1% | |
18 | BURROWS Beatrice | 3% | 15% | 32% | 32% | 16% | 4% | - |
19 | WILLIAMSON Beatrix | - | 5% | 22% | 41% | 28% | 3% | |
20 | KAUR Manroop | - | - | 4% | 21% | 43% | 32% | |
21 | SHAYAKHMETOVA Suzanna | - | - | 2% | 11% | 29% | 38% | 20% |
22 | SHETH Anayaà | 4% | 22% | 44% | 25% | 5% | - | |
23 | LI Alice | - | 1% | 5% | 20% | 38% | 31% | 6% |
25 | KAKANI Aditi | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
26 | ALLIEVI Simone | 6% | 26% | 38% | 23% | 6% | 1% | - |
27 | ADYANTHAYA Anika | - | - | 1% | 9% | 30% | 42% | 19% |
28 | NGUYEN Celena | 1% | 9% | 27% | 34% | 22% | 7% | 1% |
29 | KAMENSKY Elina | 1% | 14% | 37% | 33% | 13% | 2% | - |
30 | ALVAREZ Martine | 25% | 41% | 25% | 7% | 1% | - | - |
31 | BARMAN Willa | - | 3% | 17% | 36% | 32% | 11% | 1% |
32 | LEVKOV Maita | 6% | 24% | 35% | 24% | 8% | 1% | - |
33 | DESANTIS-IBANEZ Elena | - | 5% | 25% | 44% | 25% | ||
34 | XIAO Katelyn | - | 5% | 20% | 34% | 28% | 11% | 2% |
35 | CHERNOBRIVETS Maria | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
36 | LI Yixin Catherine | - | 3% | 15% | 31% | 32% | 15% | 2% |
38 | STERN Savannah | - | 4% | 19% | 38% | 31% | 8% | |
39 | LAW Mila | 1% | 11% | 33% | 38% | 16% | 1% | |
40 | CHEN Allison | 13% | 36% | 33% | 14% | 3% | - | - |
41 | ZHU Una | 3% | 23% | 42% | 26% | 5% | ||
42 | CHAKRAPANI Tara | 31% | 46% | 20% | 3% | - | - | |
43 | SHIN Jamie | 8% | 28% | 35% | 22% | 6% | 1% | - |
44 | LI Xier | 2% | 17% | 38% | 33% | 10% | 1% | |
45 | YAN Ximei (Alicia) | 1% | 8% | 25% | 35% | 24% | 7% | - |
46 | SONKU Mira | 3% | 34% | 41% | 18% | 3% | - | - |
47 | TIAN Victoria | 3% | 20% | 35% | 28% | 11% | 2% | - |
48 | COLELLA Lauren | - | 5% | 23% | 39% | 27% | 6% | |
49 | GARCIA Aly | - | 4% | 18% | 33% | 30% | 13% | 2% |
50 | DING Iris Siyue | 5% | 22% | 35% | 27% | 10% | 1% | - |
51 | IVANOV Angela-Sophie | 10% | 29% | 35% | 20% | 5% | 1% | - |
52 | HOWARD Katherine | 14% | 40% | 33% | 11% | 1% | - | |
53 | NING Miranda | 1% | 8% | 30% | 42% | 19% | ||
54 | VENKATESAN Harshitha | 3% | 20% | 38% | 28% | 9% | 1% | |
55 | JAISON Carol | 83% | 16% | 1% | - | - | - | - |
56 | BEJUGAMA Lasya | 27% | 47% | 22% | 4% | - | - | |
57 | YU Eva | - | 4% | 18% | 33% | 30% | 13% | 2% |
57 | TOBY kaja | 12% | 34% | 34% | 15% | 3% | - | - |
59 | MONITTO Malina | 3% | 16% | 32% | 32% | 14% | 3% | - |
60 | HOAGLAND Sally | - | 3% | 21% | 45% | 28% | 3% | |
61 | YAO Chloe | - | 4% | 17% | 32% | 31% | 14% | 2% |
62 | MILLER Cassandra | 35% | 43% | 18% | 3% | - | - | |
63 | PETRIZZO Anna | 56% | 35% | 8% | 1% | - | ||
64 | LEUNG Sydney | 24% | 40% | 26% | 9% | 1% | - | - |
65 | BI Michelle | < 1% | 4% | 19% | 36% | 30% | 10% | 1% |
66 | LEUNG Morgan | 34% | 43% | 19% | 4% | - | - | |
67 | PAREKH Riana | 53% | 36% | 9% | 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.