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 | XUAN Nicole J. | - | - | - | - | 1% | 19% | 79% |
2 | WANG Zoe | - | - | 2% | 10% | 28% | 40% | 21% |
3 | WATTANAKIT Anda | - | - | 1% | 14% | 43% | 42% | |
3 | FURMAN Maria | - | - | 1% | 7% | 29% | 44% | 19% |
5 | JOYAL Anne-Sophie | - | - | - | 1% | 8% | 40% | 52% |
6 | TRAN Helena | - | 2% | 14% | 32% | 34% | 15% | 2% |
7 | BRUNSON Nile | - | - | 3% | 15% | 35% | 35% | 12% |
8 | HUREL Bertille | - | - | 4% | 17% | 36% | 33% | 10% |
9 | MUELLER Emma M. | - | - | 1% | 7% | 25% | 42% | 26% |
10 | SMUK Alexandra S. | - | 1% | 7% | 25% | 41% | 25% | |
11 | LIANG Jingjing | - | 1% | 8% | 24% | 36% | 25% | 6% |
12 | LI Olivia | - | 1% | 5% | 21% | 38% | 29% | 6% |
13 | LIN Elaine | - | - | 2% | 13% | 45% | 41% | |
14 | PRESMAN Aerin | - | - | 1% | 5% | 25% | 49% | 19% |
15 | SUICO Kyubi Emmanuelle | - | 4% | 18% | 36% | 31% | 11% | 1% |
16 | SHEFFIELD Skye | - | 4% | 19% | 36% | 30% | 10% | 1% |
17 | AZMEH Nour | - | - | 3% | 19% | 48% | 29% | |
18 | YAO Chloe | 5% | 23% | 37% | 26% | 8% | 1% | - |
19 | GORNOVSKY Abigail | - | - | 2% | 17% | 46% | 35% | |
20 | WANG Trinity | 2% | 14% | 34% | 34% | 14% | 2% | |
21 | QI Julieanne | - | 1% | 12% | 40% | 37% | 9% | |
22 | HONG Elaine | - | - | - | 1% | 10% | 37% | 52% |
23 | CHEN Alicia | 1% | 8% | 28% | 40% | 20% | 3% | - |
24 | HAN Claire | - | 6% | 25% | 38% | 25% | 5% | |
25 | WANG Sophie Y. | 4% | 20% | 36% | 28% | 10% | 2% | - |
26 | SONG Angela | - | - | 1% | 6% | 24% | 43% | 27% |
27 | BI Michelle | 2% | 22% | 39% | 27% | 8% | 1% | - |
28 | CHEN Jingyun | - | - | 10% | 38% | 41% | 12% | |
29 | UNGURIANU Nika | 2% | 16% | 38% | 34% | 9% | 1% | |
29 | CHANG Chloe | 7% | 29% | 40% | 20% | 3% | - | |
31 | YU Eva | 14% | 40% | 34% | 11% | 1% | - | |
32 | MIN Melinda | 6% | 24% | 36% | 25% | 9% | 1% | - |
33 | HSIU Elizabeth | - | 1% | 8% | 27% | 39% | 21% | 4% |
34 | LEE Gloria Y. | - | 2% | 13% | 35% | 37% | 12% | 1% |
35 | MISHIMA Audrey | 3% | 17% | 38% | 33% | 8% | 1% | |
36 | FENG Iris | - | 10% | 46% | 34% | 8% | 1% | |
37 | AI Amy | - | - | 3% | 20% | 50% | 27% | |
38 | KRAJA Emma | 13% | 38% | 35% | 12% | 2% | - | |
39 | SHANKERDAS Shreeya | - | 4% | 18% | 37% | 32% | 8% | 1% |
40 | XIAO Nancy | - | - | 2% | 12% | 38% | 43% | 6% |
41 | XU Hua | 50% | 38% | 11% | 1% | - | - | - |
42 | FAKTOR Emily | 4% | 22% | 39% | 27% | 7% | 1% | - |
43 | KAUR Manroop | 2% | 13% | 32% | 34% | 16% | 4% | - |
44 | LIN Victoria T. | 11% | 37% | 35% | 14% | 2% | - | |
45 | FOMINA Polina | 26% | 41% | 25% | 7% | 1% | - | - |
46 | HOAGLAND Sally | 4% | 24% | 40% | 25% | 6% | - | - |
47 | CAI Yiyi (Phoebe) | - | 4% | 19% | 35% | 30% | 11% | 1% |
48 | CHI Sarah | 8% | 29% | 37% | 21% | 5% | - | - |
49 | ZUCKER Emily A. | 1% | 16% | 37% | 32% | 12% | 2% | - |
50 | ZHANG ANGELA | 3% | 21% | 39% | 28% | 9% | 1% | - |
51 | LEEB Zoe | 36% | 43% | 18% | 3% | - | - | - |
52 | SATO Elyse | 16% | 37% | 32% | 12% | 2% | - | - |
53 | WONG Caitlin | 2% | 14% | 32% | 32% | 16% | 4% | - |
54 | KWON Elise | 7% | 31% | 39% | 19% | 4% | - | - |
55 | LEE Claudia | 19% | 60% | 19% | 2% | - | - | |
56 | SHU Youshan | 2% | 11% | 30% | 35% | 19% | 3% | |
57 | WEI Sherry | 5% | 25% | 41% | 25% | 5% | - | |
58 | INAMDAR Devaki | 24% | 42% | 26% | 7% | 1% | - | |
59 | ARORA Siya | 1% | 12% | 36% | 35% | 13% | 2% | - |
60 | SANLIKOL Suzan | 6% | 24% | 37% | 25% | 7% | 1% | - |
61 | MOON Zoe | 16% | 39% | 31% | 11% | 2% | - | |
62 | CHANG Cadence | 69% | 29% | 2% | - | - | - | |
63 | WU Madisen | 31% | 43% | 21% | 4% | - | - | |
64 | HO Gillian | 14% | 40% | 33% | 11% | 2% | - | - |
65 | KIM Lilian | 47% | 40% | 12% | 1% | - | - | - |
66 | GARCIA Daniela | 74% | 23% | 3% | - | - | - | - |
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.