Premier Challenge ROC(D1A, DV2, VET), RJCC & PARA

Div I-A Women's Épée

Saturday, March 30, 2024 at 12:00 PM

Rockland Community College, Eugene Levy Field House - Suffern, NY, USA

Probability density of pool victories

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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 GU Sarah - - - - 2% 23% 74%
2 CHEN Lefu - - 1% 6% 23% 41% 29%
3 XUAN Nicole J. - - - - 7% 45% 47%
3 GAJJALA Sharika R. - - - - 6% 31% 63%
5 PROFIS Liora - - 2% 12% 31% 37% 16%
6 SMUK Alexandra S. - - 2% 10% 31% 41% 16%
7 SONG Angela - 3% 13% 30% 33% 17% 3%
8 BASRALIAN Azniv 1% 9% 25% 34% 23% 8% 1%
9 KHARCHYNA Polina - - - - 6% 37% 57%
10 WITTER Catherine A. - 1% 7% 22% 35% 27% 8%
11 BUECHEL Holly M. - - - 4% 18% 41% 37%
12 WANG Zoe - 2% 11% 29% 35% 19% 4%
13 WANG Trinity 1% 11% 30% 37% 18% 3% -
14 DESAI Meera P. - - 2% 12% 37% 42% 7%
15 JOYAL Anne-Sophie - - 1% 8% 29% 44% 19%
16 MUELLER Emma M. - 2% 11% 31% 38% 18%
17 CHOY LeeAnn - - - 1% 12% 52% 34%
18 RAKHOVSKI Alexandra - - - 3% 17% 43% 37%
19 GUJJA Misha - 1% 6% 24% 41% 24% 4%
20 CAI Yiyi (Phoebe) 2% 14% 35% 33% 14% 2% -
21 GAO Judy 1% 10% 28% 34% 21% 6% 1%
22 SEREGIN Katya 2% 17% 36% 32% 12% 2% -
23 PRESMAN Aerin - - 5% 25% 46% 21% 2%
24 WATTANAKIT Anda - 2% 11% 28% 35% 20% 4%
25 LIN Elaine - - 3% 15% 33% 35% 14%
26 HONG Elaine - - 3% 13% 31% 36% 17%
27 LI Fei 1% 7% 24% 36% 25% 7% 1%
28 SMUK Daria A. - 3% 15% 31% 33% 15% 2%
29 WANG Sophie Y. 4% 21% 36% 27% 10% 2% -
30 LIANG Jingjing - 3% 16% 35% 34% 11% 1%
31 CAMPBELL Anahit M. - 3% 15% 32% 32% 15% 3%
32 KAUR Manroop 17% 37% 31% 13% 3% - -
33 SMOTRITSKY Liat 7% 30% 37% 20% 5% < 1%
34 DAVIS Jessica L. - - - 3% 19% 45% 33%
35 XIAO Nancy - 2% 12% 32% 36% 16% 2%
36 SHU Youshan - 1% 7% 23% 37% 25% 6%
37 AI Amy - - - 5% 29% 49% 16%
38 HUREL Bertille - 1% 5% 19% 35% 31% 10%
39 WESER Veronica U. - 1% 7% 24% 39% 25% 4%
40 LURYE Lina - 4% 17% 32% 30% 13% 2%
41 WANG Yumin - - - 1% 11% 38% 50%
42 HSIU Elizabeth 1% 6% 23% 39% 26% 4% -
43 FURMAN Maria - 6% 22% 37% 27% 7%
44 AZMEH Nour - 6% 22% 37% 28% 8%
45 LI Olivia 6% 28% 37% 22% 6% 1% -
46 CHUNG Penelope 2% 15% 35% 34% 13% 1% -
47 NOVOJILOV Anastasia 1% 8% 27% 37% 21% 5% -
48 CAVNAR Peyton - 5% 20% 36% 29% 9% 1%
49 CASHMAN Amanda 21% 39% 28% 10% 2% - -
50 WONG Caitlin 1% 11% 28% 34% 20% 5% 1%
51 HAN Claire 1% 6% 21% 34% 27% 10% 1%
52 PINNAMANENI Drithi 1% 10% 27% 34% 21% 6% 1%
53 HICKS Grace 1% 9% 28% 35% 21% 6% 1%
54 TRAN Helena 3% 16% 31% 30% 15% 4% -
55 POLANICHKA Nicole - - 3% 16% 37% 36% 8%
56 FENG Iris 2% 17% 41% 32% 8% 1% -
57 SHANKERDAS Shreeya 9% 32% 37% 18% 4% - -
58 SUICO Kyubi Emmanuelle 2% 13% 34% 35% 14% 2% -
59 DAGLI Saira Veronica 31% 46% 20% 3% - - -
60 CHEN Jingyun 2% 14% 33% 34% 15% 3%
60 COLELLA Lauren 38% 41% 17% 3% - -
62 CHANG Chloe 22% 43% 26% 7% 1% - -
63 BOWIE Charlotta 1% 11% 29% 34% 19% 5% -
64 CHEN Alicia 27% 44% 23% 6% 1% - -
65 SHEFFIELD Skye 5% 24% 38% 25% 7% 1% -
66 FAN Elizabeth 3% 18% 34% 30% 13% 3% -
67 UNGURIANU Nika 1% 11% 35% 38% 13% 1% -
68 MCSWEENEY Janie - 3% 15% 34% 34% 12% 1%
69 YOU Isabel B. 3% 17% 38% 31% 10% 1% -
70 BI Michelle 15% 40% 33% 11% 1% - -
71 MIN Melinda 10% 33% 36% 17% 3% - -
72 BISEN Shivani S. - 3% 13% 29% 33% 18% 4%
73 YU Eva 40% 40% 16% 3% - - -
74 LIN Victoria T. 10% 32% 36% 18% 4% - -
75 SANLIKOL Suzan 30% 43% 22% 5% - - -
76 ZHANG ANGELA 9% 30% 35% 19% 5% 1% -
77 MISHIMA Audrey 8% 29% 36% 20% 6% 1% -
77 ELKHATEEB Fajr 23% 40% 26% 9% 1% - -
79 BYRON Karen J. 4% 20% 38% 29% 8% 1% -
80 CONNOLLY Natasha 35% 43% 19% 4% - - -
81 ZOU You yang (Yoyo) 9% 32% 37% 19% 4% - -
82 JENSEN MJ 19% 41% 29% 9% 1% - -
82 WROBEL Julia 33% 44% 20% 4% - - -
84 TOLLEY Toby < 1% - 4% 15% 34% 34% 13%
85 GORDET Cristina G. < 1% 4% 19% 37% 29% 9% 1%
86 FOMINA Polina 42% 41% 15% 2% - - -
87 DUNNE Jessica 25% 47% 23% 4% - - -
88 WUNDERLICH Cara J. 9% 31% 35% 19% 5% 1% -
88 MASTRONARDI Laura 17% 39% 32% 11% 2% - -
90 DANNHAUSER Carol A. 24% 43% 25% 7% 1% - -

Explanation

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.