October NAC

Cadet Women's Foil

Saturday, October 8, 2022 at 8:00 AM

Minneapolis, MN, 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 ZHANG Yunjia - - - - 2% 23% 76%
2 JING Emily - - - - 1% 17% 82%
3 GEBALA Gabrielle Grace A. - - - 1% 9% 39% 52%
3 FEDELI Caterina S. - - - 7% 37% 56%
5 CHEN Allison V. - - - 2% 13% 41% 44%
6 SOOD Ishani S. - - - 1% 8% 37% 54%
7 ZHANG Alina C. - - - - 4% 30% 66%
8 LI Rachel Y. - - 1% 13% 45% 41%
9 LUNG Katerina - - - - 2% 21% 77%
10 SUN Ruoxi - - - 3% 19% 46% 32%
10 LIPKOVITZ Rivka - 3% 15% 33% 34% 14% 1%
12 CHEN Jia P. - - - 4% 27% 68%
13 CHO Rebecca H. - - 3% 18% 42% 37%
14 CALISE Ella - - 4% 18% 39% 34% 5%
15 CHUSID Mikayla - - - - 2% 21% 77%
16 LEUNG Mei Hang (Danise) - 4% 21% 37% 29% 8% 1%
17 PEVZNER Victoria - - - - 2% 22% 76%
18 LIU Joy Zhaoyi - - 2% 18% 44% 35%
19 LIU Jaelyn A. - - - - 3% 27% 70%
20 GOOR Viviene E. - - 3% 18% 42% 33% 3%
21 SHEN Lydia - - - 1% 10% 39% 51%
22 ZHAO Sophie L. - - - 3% 15% 40% 42%
23 RANDOLPH Piper - - - 5% 24% 46% 25%
24 SONG Yuqiao Aprille - - - 6% 32% 48% 13%
25 TAN Kaitlyn N. - - - - 4% 32% 63%
26 SENIC Adeline - - - 2% 11% 38% 49%
27 HAYES Nadia - - 2% 15% 41% 34% 7%
28 GU Emily - - 1% 11% 37% 41% 9%
29 OUYANG Bridgette Z. - - - 3% 15% 41% 41%
30 YANG Iris - - 3% 23% 49% 24%
31 NISSINOFF Alexandra - - 4% 25% 43% 24% 4%
32 SHENG Chuxi - 1% 10% 31% 39% 17% 1%
33 JANG Kimberley - - - - 5% 32% 63%
34 CHEN Renee - 3% 18% 36% 31% 11% 1%
35 LEE Lavender - 1% 7% 31% 47% 14%
36 GU Maggie Runlin - 1% 13% 36% 36% 13% 1%
37 DAVIS Bonnie Z. - - 1% 7% 30% 50% 13%
38 PENG Amber L. - - 1% 10% 34% 43% 12%
39 MEI Sarah - - 3% 17% 40% 35% 4%
40 ZHANG Eunice - - 4% 22% 48% 24% 2%
41 DOROSHKEVICH Taisiia - - 1% 8% 33% 49% 9%
42 SUN Chien-Yu - - 6% 31% 42% 19% 2%
43 YANG Audrey 7% 28% 37% 21% 5% -
43 FENG Grace 3% 23% 45% 24% 5% -
45 LEE Allison - 5% 28% 43% 22% 2%
46 ZHENG Julie - 5% 20% 38% 30% 7%
47 SEIGEL Norah - - 2% 16% 40% 35% 8%
48 MI Aileen - - 4% 19% 38% 31% 7%
49 MANIKTALA Prisha - 1% 10% 33% 39% 16% 1%
50 PENG Serena 4% 20% 35% 28% 11% 2% -
51 EYER Hailey M. - - - - 5% 30% 65%
52 CHANG Elizabeth - 4% 17% 34% 32% 12% 1%
53 NAMGALAURI Mariam - - 2% 15% 40% 35% 8%
54 HAN Crystal - - 6% 26% 43% 22% 2%
55 ORVANANOS Anice - 1% 11% 36% 40% 13%
56 SEO IRENE Y. - 2% 12% 32% 38% 16%
57 BOLES Amanda X. - 5% 23% 42% 25% 5% -
58 PEVZNER Nicole 7% 27% 36% 22% 6% 1% -
59 LI Sophia M. - - 3% 19% 41% 32% 5%
60 SUN Chloe - 6% 24% 37% 25% 7% 1%
61 WONG Sophia M. - 1% 7% 27% 41% 22% 1%
62 LIU Angel(Daying) - 1% 9% 25% 37% 23% 4%
63 WANG Jasmine 1% 8% 26% 36% 23% 6% -
64 MARKOVSKY Nina - 6% 24% 40% 26% 5% -
65 CASTANEDA Keira - 6% 27% 40% 23% 5% -
66 MCSHERRY Ava - 3% 17% 36% 32% 10% 1%
67 HAN Ashley - 6% 28% 40% 22% 4% -
68 PAULUS Sloane 2% 17% 37% 32% 11% 1% -
69 KIM Rachel - 5% 27% 43% 23% 2%
70 DAVIES Ellie 4% 23% 42% 26% 5% -
71 WANG Zoie Z. 1% 9% 28% 37% 21% 4%
72 YAO Ada 5% 24% 39% 25% 7% 1%
73 LUO Sandra J. - 1% 9% 28% 41% 21%
74 LAI Sophia 4% 26% 46% 21% 3% -
75 LEE Fiona E. - 5% 25% 40% 24% 5% -
76 RICHARD Dominique - 16% 39% 32% 10% 1% -
77 CHOW Annabelle - 1% 6% 26% 42% 22% 3%
78 PAULUS Isabella 3% 22% 39% 27% 8% 1% -
78 LIN Zhi tong - 2% 10% 28% 36% 20% 3%
80 HU Felice - 6% 25% 39% 25% 5% -
81 SHEN Emilia 2% 11% 29% 34% 19% 4% -
82 SAIFEE Lamya 1% 14% 42% 33% 10% 1% -
83 FETECAU Ilinca 1% 11% 30% 35% 18% 4% -
84 ZHAO Aileen Y. - 1% 9% 25% 37% 23% 4%
85 YANG Emma 3% 22% 39% 27% 8% 1% -
86 DAI Zizhuo (Zizi) 1% 12% 35% 37% 13% 2% -
87 LUO Miranda 12% 38% 35% 13% 2% - -
88 REN Kayley 4% 19% 35% 29% 12% 2% -
89 ZHANG Soleil C. 5% 21% 35% 27% 10% 2% -
90 LIN Victoria T. 1% 9% 31% 42% 16% 2% -
90 ZHANG Selena 4% 23% 42% 26% 6% - -
90 HAFEZ Tahiyah 5% 33% 40% 18% 3% - -
93 ROY Layla - - 6% 24% 43% 24% 2%
94 WANG Alison 14% 35% 32% 15% 3% - -
95 KOSTELNY Alexis - 1% 12% 38% 37% 10%
96 SUN Emily 8% 31% 38% 19% 4% -
97 BIODROWICZ Julia - 5% 25% 46% 22% 3%
98 YAN Noelle - 42% 42% 14% 2% -
99 GOLLNICK Mira 16% 38% 32% 12% 2% -
100 MU Allison 14% 42% 34% 10% 1% -
101 CHO Emily (Euran) 1% 16% 37% 32% 12% 2% -
102 VO Bao-Vy 1% 7% 28% 41% 19% 3% -
103 WANDJI Anais - - 1% 9% 31% 43% 15%
104 LI Yuhe - 3% 18% 36% 30% 11% 1%
105 SKOURLETOS Maria 2% 15% 36% 33% 12% 2% -
106 SWANSON Alexa 4% 22% 40% 27% 7% 1% -
107 YANG Lingting 6% 24% 36% 25% 8% 1% -
107 WANG SIQI 1% 9% 29% 37% 20% 4% -
109 LI Eleanor 3% 27% 50% 17% 2% - -
109 HWANG Chanel 31% 46% 20% 3% - - -
111 LEE Ji Ahn - 4% 20% 37% 29% 8% 1%
112 LEVY Avery 1% 12% 33% 36% 16% 2% -
112 NIKOLIC Alexandra - 1% 11% 31% 39% 16% 2%
114 SHIM Grace J. - 4% 19% 39% 31% 7% -
114 DONG Angela 7% 35% 41% 16% 2% - -
116 SUN Ning Lu (Sophia) 1% 12% 36% 37% 13% 2% -
117 WANG Celine S. 1% 26% 43% 24% 6% - -
118 CROMWELL Keira 9% 38% 37% 14% 2% - -
118 KO Claire 3% 24% 40% 25% 7% 1% -
118 RICHARD Clara 5% 27% 40% 23% 5% - -
121 HSU Kaylin 1% 15% 38% 34% 11% 1% -
122 PARK Leah 2% 20% 39% 29% 9% 1% -
123 TUAN Sophie 60% 33% 6% 1% - - -
124 GAO Anne 9% 49% 34% 8% 1% - -
125 BERGEL Daphne 31% 47% 19% 3% - - -
126 CHEN Chloe I. 1% 6% 24% 39% 25% 5%
127 COOPER Piper W. - 6% 30% 42% 20% 2%
128 PENG Charlotte 41% 43% 14% 2% - -
129 ZHENG Zoe 23% 47% 25% 4% - -
130 LUH Mia P. 19% 48% 27% 5% - -
131 SHA Yi Ling - 1% 11% 32% 39% 16% 1%
132 WYNN Kylie 5% 27% 43% 22% 4% - -
133 YIM Rachael 5% 30% 43% 19% 3% - -
134 LIU Enjia sherry 2% 16% 38% 33% 10% 1% -
135 CANNON Lira J. - 2% 12% 29% 35% 19% 3%
136 LENK Sophie 25% 41% 26% 8% 1% - -
137 WANG Yudi 2% 15% 35% 34% 13% 1% -
137 OH Ceana 3% 21% 37% 27% 9% 1% -
137 YU Jane 37% 45% 16% 2% - - -
140 XIE Su 12% 43% 33% 10% 2% - -
141 DESAI Esha 16% 53% 28% 3% - - -
142 GADIYARAM Sushama 57% 34% 8% 1% - - -
143 ZHANG Alina 53% 37% 9% 1% - - -
144 SIMONOV Dasha 1% 10% 34% 39% 14% 1%
145 BURBERRY Livia 13% 36% 34% 14% 3% -
146 ROHRING Anna 45% 42% 11% 1% - -
147 WANG Sophia 38% 45% 15% 2% - -
148 VANMOORSEL Faye 66% 29% 4% - - - -
149 LI Grace 37% 42% 18% 3% - -
150 PU claire 50% 37% 11% 2% - - -
151 GAO Anna 19% 45% 29% 7% 1% - -
152 ISHANOVA Sofia 59% 34% 7% - - - -
152 SMITH Taylor 33% 48% 17% 2% - - -
154 DESERANNO Seren 37% 43% 17% 3% - - -
154 BABB Cicely 74% 24% 2% - - - -
156 WANG Kelsey 99% 1% - - - -
157 KIM Claire 21% 45% 28% 6% - - -
157 BULLARD Sydney 51% 37% 10% 1% - - -
157 GOEL Riyana 69% 27% 4% - - - -
157 SOLOMIE Sabina 56% 36% 7% 1% - - -
157 MADSEN Lindsey 60% 35% 5% - - - -
162 WANG hannah 91% 8% - - - - -

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.