The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

October NAC

Cadet Women's Foil

Sunday, October 31, 2021 at 8:00 AM

America's Center Convention Complex - St. Louis, MO, USA

Probability density of pool victories

Reset

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 KIM Rachael - - 4% 19% 42% 35%
2 STUTCHBURY Carolina J. - - - - 5% 34% 60%
3 JING Emily - - - 2% 11% 39% 48%
3 CAO Arianna L. - - - - 6% 36% 58%
5 HO Brianna W. - - - 1% 12% 41% 45%
6 FANG Sabrina - - - - 5% 30% 64%
7 EYER Hailey M. - - 2% 11% 34% 43% 11%
8 KIM Katherine - 2% 11% 31% 39% 17%
9 PEVZNER Victoria - - - 2% 16% 43% 39%
10 SENIC Adeline - - 2% 11% 34% 40% 14%
11 JANG Kimberley - - - 6% 32% 48% 13%
12 CHO Cameron S. - - 3% 13% 33% 37% 15%
13 LESLIE Ryanne T. - - - - 3% 25% 71%
14 ZHANG Alina C. - 1% 6% 25% 45% 23%
15 LIU Jaelyn A. - 1% 7% 25% 42% 24%
16 DE LA CRUZ Eden - 1% 10% 30% 38% 19% 2%
17 LI Phoebe J. - - 2% 15% 43% 41%
18 CHEN Jia P. - - - 2% 17% 45% 35%
19 ZHENG Ivy - - - 2% 16% 43% 38%
20 PETROVA Kristina - - - - 5% 34% 60%
20 TAN Kaitlyn N. - - - 5% 26% 46% 22%
22 SARTORI Taylor M. - - - 5% 28% 50% 16%
22 WU Julianna Y. - 2% 15% 35% 34% 13% 1%
24 ZHAO Sophie L. - 1% 6% 22% 37% 28% 6%
25 OUYANG Bridgette Z. - 1% 9% 31% 41% 18%
25 LIU Joy Zhaoyi 2% 14% 32% 34% 15% 2%
27 GEBALA Gabrielle Grace A. - - 5% 23% 44% 28%
28 SHEN Lydia - - - 4% 24% 50% 22%
29 SUN Chien-Yu - 1% 11% 36% 38% 13% 2%
30 OH Erin H. - - 1% 9% 28% 40% 21%
31 CHANG Elizabeth 2% 13% 31% 34% 17% 4% -
32 KOROL Neta - - 3% 17% 38% 35% 7%
33 LUNG Katerina - - - 1% 7% 35% 58%
34 KONG Chin-Yi - - - 2% 13% 40% 45%
35 GRIFFIN Emma G. - - - 1% 11% 43% 45%
36 ZHANG Yunjia - - 4% 20% 44% 33%
37 CHUSID Mikayla - - - 1% 10% 37% 52%
38 WANG Ellen - - - 1% 8% 37% 54%
39 LOCKE Savannah - - 4% 17% 37% 34% 8%
40 CASTANEDA Erika L. - - 4% 20% 45% 31%
41 KONG Olivia - - 3% 18% 42% 31% 6%
42 YU Lauren C. - - 3% 17% 40% 35% 5%
43 WANDJI Anais - - 3% 17% 39% 32% 8%
44 SOOD Ishani S. - - 3% 16% 39% 33% 8%
45 SUN Ruoxi - - 1% 12% 36% 40% 10%
46 PAHLAVI Dahlia - 2% 10% 27% 36% 21% 4%
47 DOROSHKEVICH Taisiia - 3% 17% 37% 33% 9% 1%
48 CHEN Jessie S. - 2% 13% 37% 37% 11%
49 WONG Sophia M. 1% 11% 33% 37% 16% 2%
50 HU Victoria - 1% 10% 34% 38% 15% 2%
51 NEWHARD Zelia "Zizi" - - 1% 10% 36% 41% 12%
52 HE Fenghuan - - 1% 7% 30% 48% 14%
53 MEI Sarah 3% 16% 33% 31% 14% 3% -
54 CHO Gracie L. - 1% 7% 26% 39% 23% 4%
55 FEDELI Caterina S. - - 3% 15% 38% 35% 9%
56 ROY Layla 3% 19% 37% 30% 9% 1%
57 TALWALKAR Apoorva 3% 18% 35% 31% 12% 2%
58 SHEN Sophia H. - - - 3% 18% 44% 35%
59 KOROL Dana - 1% 9% 34% 39% 15% 1%
60 LEE Brianna J. - - - 2% 13% 40% 45%
61 ZHAO Aileen Y. - 1% 13% 41% 35% 9% 1%
62 CALISE Ella 9% 31% 36% 19% 4% - -
63 DING Abigail - 3% 16% 33% 32% 13% 2%
64 GOOR Viviene E. - 4% 22% 38% 28% 8% 1%
65 KOENIG Charlotte R. - 1% 9% 31% 42% 17%
66 KOSTELNY Alexis - - 4% 17% 36% 34% 8%
67 SHENG Chuxi - 5% 26% 40% 24% 5% -
68 SHIH Diane - 1% 12% 33% 37% 15% 2%
69 LIU Angel(Daying) - - 5% 24% 47% 21% 2%
70 SHITAMOTO Audrey F. - 1% 9% 34% 40% 14% 1%
71 FUNG Emma - 11% 36% 36% 14% 2% -
72 BATRA Chaahat - - 4% 21% 47% 26% 3%
73 HWANG Alison 1% 12% 35% 35% 15% 2% -
74 GUERRA Sofia E. 1% 8% 26% 37% 23% 5%
75 ORVANANOS Anice 10% 32% 36% 18% 4% -
76 CHO Rebecca H. - 3% 19% 41% 30% 7%
77 PENG Amber L. - 1% 9% 33% 39% 15% 2%
78 CHOW Annabelle 4% 24% 40% 25% 6% 1% -
79 ZHENG Julie 3% 18% 34% 30% 12% 2% -
80 DRAGNE Alexis D. - 3% 17% 37% 33% 10% 1%
81 NISSINOFF Alexandra - 3% 19% 37% 30% 10% 1%
82 PANT Anisha - 5% 20% 37% 29% 8% 1%
83 HAN Crystal 4% 23% 38% 26% 8% 1% -
84 XIANG Emma - 5% 24% 39% 25% 6% -
85 LUO Sandra J. 1% 7% 23% 35% 26% 8% 1%
85 HAYES Nadia 7% 25% 35% 24% 8% 1% -
87 BIODROWICZ Julia - 16% 39% 32% 11% 2% -
88 COOPER Piper W. - 9% 32% 38% 18% 3% -
89 SIMONOV Dasha - 6% 26% 39% 23% 5% -
90 SEIGEL Norah 1% 13% 36% 34% 13% 2% -
91 ZAMELIS Madelyn 32% 45% 20% 3% - - -
92 CANNON Lira J. 1% 10% 30% 38% 18% 3%
93 UPTON Elizabeth 1% 12% 34% 36% 15% 2%
94 MI Anning 6% 26% 38% 23% 5% -
95 DAVIS Bonnie Z. 4% 19% 36% 29% 10% 1%
96 GU EMILY 9% 32% 38% 18% 3% -
97 YANG Iris 6% 28% 41% 20% 4% -
98 SHA Yi Ling 19% 39% 30% 11% 2% -
99 LIPKOVITZ Rivka 12% 37% 36% 13% 2% - -
100 PARK Jaimie Lina 3% 19% 37% 30% 10% 1% -
101 LI Rachel Y. - - 3% 17% 39% 33% 8%
102 WANG Jasmine 1% 15% 41% 33% 9% 1% -
102 CUI Amy - 4% 23% 40% 26% 7% -
104 DAVIES Ellie 18% 40% 30% 10% 2% - -
105 HOANG Mai 3% 18% 34% 30% 13% 2% -
105 NAMGALAURI Mariam - 4% 17% 33% 31% 12% 1%
107 VOITENKO AGATA 1% 26% 42% 24% 6% 1% -
108 NIKOLIC Alexandra 3% 16% 33% 31% 14% 3% -
109 CASTANEDA Keira 9% 30% 35% 20% 5% 1% -
110 HUANG NATALIE 1% 9% 30% 39% 18% 3% -
111 ZHANG Rongrui 2% 15% 37% 35% 10% 1% -
112 WANG Alison 65% 31% 4% - - - -
113 QUINN Anna 17% 42% 31% 9% 1% - -
114 FUNG Vera 7% 26% 35% 23% 7% 1% -
115 ZHANG Selena 11% 44% 36% 8% 1% - -
116 CHEN Chloe I. 8% 34% 38% 17% 3% - -
117 HOBSON Ava 21% 41% 28% 9% 1% - -
118 LEVY Avery 8% 40% 39% 11% 1% - -
119 LI Sophia M. 1% 9% 32% 40% 16% 2% -
120 HAN Ashley 9% 38% 40% 13% 2% - -
121 KIM Rachel 32% 43% 20% 4% - -
122 STRUGAR Steliana 18% 40% 31% 10% 1% -
123 SEAL Cameron I. 11% 38% 36% 13% 2% -
124 MI Aileen 19% 39% 30% 10% 2% -
125 SOLDATOVA Maria 7% 29% 39% 20% 4% -
126 SEO IRENE Y. 4% 20% 36% 29% 10% 1%
127 LEE Ariana - 6% 25% 39% 24% 5% -
128 ZULUETA Catherine 8% 36% 41% 13% 2% - -
129 VO Bao-Vy 27% 44% 24% 5% - -
130 BRANDON Fionnoula 3% 21% 41% 28% 6% - -
131 YAO Ada 6% 24% 36% 25% 8% 1% -
132 RASO Olivia 7% 27% 37% 22% 6% 1% -
133 HSIEH Rebecca 2% 16% 38% 34% 9% 1% -
134 WANG Zoie Z. 3% 18% 37% 31% 10% 1% -
135 BOLES Amanda X. 13% 47% 31% 8% 1% - -
136 WANG Celine S. 10% 43% 36% 10% 1% - -
136 LUH Mia P. 36% 45% 17% 2% - - -
138 VAUGHAN Norah 23% 46% 25% 5% - - -
139 BAWA Sahana 4% 37% 41% 16% 3% - -
140 MARKOVSKY Nina 10% 30% 35% 19% 5% 1% -
141 MU Allison 21% 42% 29% 7% 1% - -
142 TRACZ Calleigh D. 11% 36% 37% 14% 2% - -
143 PENG Serena 22% 42% 27% 8% 1% - -
144 KUNDU TRISHA 63% 32% 5% - - - -
145 YAN Noelle 5% 31% 44% 17% 3% - -
146 ZHENG Zoe 28% 49% 19% 3% - - -
147 ZHUANG Christina 21% 44% 28% 7% 1% -
148 HU Felice 9% 31% 36% 19% 5% -
149 ZHENG yuqi 19% 39% 30% 10% 2% - -
150 MANIKTALA Prisha 14% 37% 34% 13% 2% -
151 LEE Lavender 1% 6% 24% 36% 25% 7% 1%
152 RODRIGUEZ Akemi 49% 39% 10% 1% - -
153 HSIEH Sabrina 60% 34% 6% - - - -
154 GARCIA Ivanna C. 23% 45% 25% 6% 1% - -
154 TOBIN Brean 2% 27% 47% 20% 3% - -
156 EUH Jayme 81% 17% 1% - - - -
157 NICKOLOV Nora 38% 46% 14% 2% - - -
158 KO Claire 41% 41% 15% 2% - - -
158 GANDLURI Sreehitha 52% 39% 9% 1% - - -
160 SKOURLETOS Maria 47% 40% 11% 1% - - -
161 YIM Rachael 60% 34% 6% - - - -
162 GADIYARAM Sushama 93% 7% - - - - -

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.