December SJCC + Division 1 NAC

Cadet Women's Épée

Saturday, December 2, 2023 at 2:00 PM

Richmond, VA, 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 YANG Alisa - - - 2% 15% 42% 40%
2 SHIV Avni - 1% 9% 31% 43% 16%
3 AZMEH nour - - 2% 13% 33% 37% 15%
3 YAO Melinda - - 3% 17% 42% 37%
5 NEMETH Katherine - - 1% 9% 30% 42% 18%
6 RAKHOVSKI Alexandra - - - 2% 12% 39% 46%
7 YU Nicole J. - - - 3% 15% 41% 41%
7 SMUK Alexandra S. - - - 4% 20% 44% 32%
9 FENG Ge - - 1% 6% 25% 44% 23%
10 SPRINGER Sierra - - 2% 13% 42% 43%
11 XIAO Nancy - 1% 7% 26% 38% 24% 5%
12 ELSTON Sophia - - 2% 15% 35% 35% 12%
13 PECK Maia A. - - 1% 5% 23% 44% 27%
14 SONG Angela - - - 5% 23% 44% 27%
15 FRANGER Macy 1% 6% 23% 36% 26% 8% 1%
16 BEAVER Ava - 2% 12% 31% 34% 17% 3%
17 CARRIER Meredith - 2% 12% 35% 39% 12%
18 WANG Zoe - 1% 6% 21% 36% 29% 8%
19 SHU Youshan - - 4% 21% 39% 29% 6%
20 LEE Claire - 1% 9% 25% 36% 23% 6%
21 PRESMAN Aerin 3% 20% 38% 29% 10% 1%
22 LI Fei - 4% 20% 38% 29% 8%
23 LEE Olivia - - 2% 9% 27% 40% 22%
23 REKEDA Anna 1% 11% 33% 36% 15% 3% -
25 MUN Brianna K. - 1% 7% 22% 35% 27% 8%
26 FURMAN Maria - 1% 7% 23% 37% 26% 6%
27 MISHIMA Audrey 1% 7% 23% 35% 25% 8% 1%
28 FERREIRA DE MELO Adriana - 5% 22% 38% 28% 7%
29 DEPOMMIER Isabelle - 5% 24% 43% 24% 4%
30 PHUKAN Indra - - 5% 23% 40% 26% 5%
31 SENYUVA Su - 4% 20% 40% 30% 7%
32 BALAKRISHNAN Trisha 1% 6% 21% 34% 27% 10% 1%
33 CAFASSO Natalya - - 3% 20% 46% 30%
34 HAFEEZ Hania - - 4% 19% 42% 34%
35 LIN Elaine - - 5% 23% 44% 29%
36 BECKMAN Ana - - 1% 9% 31% 42% 17%
37 KOZLOWSKI Maya M. - - 3% 14% 34% 36% 14%
37 WANG Ziqi (yoyo) - - 3% 15% 34% 35% 13%
39 BARG Daniella - 1% 8% 28% 41% 22%
40 ABUELFUTUH Sama - 6% 22% 36% 27% 9% 1%
41 SMOTRITSKY Liat 3% 19% 38% 29% 10% 2% -
42 MUELLER Emma M. - - 2% 12% 30% 38% 18%
43 QIU Emily - 5% 20% 34% 28% 11% 2%
44 CHI Chelsea - 2% 15% 35% 35% 12%
45 RANDLEMAN Teresa - - 5% 25% 46% 24%
46 KALGAONKAR Arohi 15% 38% 34% 12% 2% -
47 SOBUS Yanka - 4% 20% 38% 30% 7%
48 YOU Emily - 1% 10% 33% 40% 15%
49 ILYAS Ayah 17% 44% 30% 8% 1% -
50 LIANG Jingjing - 5% 23% 41% 26% 5%
51 KUMAR Eva - 1% 8% 28% 39% 21% 4%
52 FLITMAN Gabrielle 2% 33% 43% 19% 3% - -
53 PINNAMANENI Drithi - - 5% 23% 40% 25% 5%
54 KANG Yenna 16% 37% 32% 12% 2% - -
55 PULLEN Ayah - 2% 16% 37% 32% 11% 1%
56 GUJJA Misha - - 6% 24% 38% 25% 6%
57 CANNING Charlotte - 1% 7% 24% 37% 25% 6%
58 WITTER Catherine A. - - 3% 17% 43% 37%
59 ZANGA Kaitlyn 1% 10% 30% 37% 19% 3%
60 SHARMA Sanvi 2% 14% 35% 34% 14% 2%
61 SHEFFIELD Skye 8% 27% 36% 22% 6% 1% -
62 KUMAR Anusha 1% 8% 28% 38% 21% 4%
63 GAN Shelby 20% 52% 24% 4% - - -
64 HUANG Lanlan - 5% 18% 34% 29% 12% 2%
65 GEVA Eliana - 3% 14% 33% 34% 14% 2%
66 ZHU Serene M. - 1% 5% 20% 37% 30% 7%
67 WONG Caitlin 3% 21% 41% 27% 7% 1%
68 CHANG Chloe 14% 37% 35% 13% 2% -
69 NGUYEN Ella 12% 38% 35% 13% 2% -
70 NIX Reagan - 3% 16% 33% 32% 13% 2%
71 NELSON Grace E. 12% 33% 34% 16% 4% - -
72 IYER Ishana - 2% 16% 37% 32% 12% 1%
73 FENG Iris 10% 32% 35% 18% 5% 1% -
74 D'ANGELO Olivia 53% 39% 8% 1% - - -
75 BAWA Jenya 12% 36% 34% 15% 3% - -
76 ZOU You yang (Yoyo) 16% 42% 32% 9% 1% -
77 CAMPBELL Eva 3% 19% 41% 29% 8% 1%
78 PATIL Amulya 2% 14% 35% 34% 14% 2%
79 SUICO Kyubi Emmanuelle 3% 20% 43% 28% 6% -
80 XU Serena 1% 6% 22% 36% 27% 9% 1%
81 CHEN Alicia 12% 38% 35% 13% 2% - -
82 ZHENG Linden 1% 11% 34% 36% 15% 3% -
83 WANG Ziqiao (Claire) 1% 14% 39% 33% 11% 2% -
83 MARTINEZ Christina 1% 9% 28% 36% 21% 5% -
85 GAVASHELI Margarita 6% 44% 37% 11% 1% - -
86 LI Yixin Catherine 29% 42% 23% 6% 1% - -
87 SCANLAN Claire 29% 44% 22% 5% - -
88 GANSER Nicole 23% 44% 26% 6% 1% -
89 MAHMUD Subaita 33% 46% 18% 3% - -
90 NOVOJILOV Anastasia 1% 11% 32% 38% 16% 2%
91 SNYDER Kathryn 26% 47% 22% 4% - -
92 MCKENNA Analise 56% 35% 8% 1% - -
93 HOAGLAND Sally 38% 42% 16% 3% - -
94 WANG Victoria 1% 10% 29% 35% 19% 5% -
95 MURPHY Katherine 15% 36% 32% 13% 3% - -
95 FANG Kayla 10% 32% 36% 18% 4% - -
97 ELTERMAN Kate 10% 33% 36% 17% 4% - -
98 YOU Isabel B. 1% 12% 39% 33% 12% 2% -
99 CHATIKHINE Anastasia 2% 14% 32% 33% 16% 3% -
100 CHUANG Ramona 1% 22% 43% 27% 7% 1% -
101 SCANLAN Alina Nev 33% 45% 18% 3% - - -
102 RICHARDS Axelle 38% 44% 16% 2% - -
103 BI Michelle 41% 43% 14% 2% - -
104 VARAN Kateryna 10% 32% 36% 18% 4% - -
105 JEYOON Lauren 43% 42% 14% 2% - - -
106 YUMIACO Nylah 31% 42% 21% 5% 1% - -
106 LOZIER Grace 36% 42% 18% 4% - - -
108 LEE Camilla 2% 18% 37% 31% 11% 1%
108 PILSON Rebecca 14% 38% 34% 12% 2% -
110 COMBS Hannah 87% 13% 1% - - - -
111 YOUSSEF Caroline 23% 46% 26% 6% 1% - -
111 SHABBIR Aiza 78% 21% 2% - - - -

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.