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December NAC

Cadet Women's Épée

Sunday, December 11, 2022 at 8:00 AM

Salt Lake City, UT, 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 FALLON Kyle R. - - - - 4% 28% 68%
2 GAJJALA Sharika R. - - - 3% 14% 39% 43%
3 LUO Ashley - - - 4% 17% 41% 38%
3 GU Sarah - - - - 3% 25% 71%
5 XIAO Ruien - - - 1% 9% 37% 53%
6 ZIGALO Elizabeth - - - 3% 18% 42% 37%
7 XUAN Nicole J. - - - 4% 28% 68%
8 YU Nicole J. - 1% 9% 28% 40% 21%
9 LEE REGINA - 3% 15% 35% 35% 13%
10 KHAMIS Yasmine A. - - - - 1% 14% 85%
11 SEBASTIAN Felicity A. - - - 3% 17% 41% 39%
11 RUNIONS Emersyn - - 5% 19% 35% 31% 10%
13 MEHROTRA Anya - - - 2% 13% 39% 46%
14 KIM Jayna - 5% 20% 35% 28% 10% 1%
15 KHARCHYNA Polina - - 1% 8% 28% 42% 22%
16 YAO Yilin 1% 7% 26% 38% 23% 5%
17 YIN Julia - - 2% 11% 30% 38% 18%
18 NELSON-LOVE Lily B. - - 4% 20% 39% 30% 8%
18 HAFEEZ Hania - 1% 5% 19% 36% 30% 9%
20 NGUYEN Tallulah - - - 2% 13% 39% 46%
21 ZHANG Victoria R. - - - 3% 16% 41% 39%
22 PADHYE Tanishka - - 1% 8% 29% 42% 20%
23 LAN Alice S. - 1% 9% 30% 41% 19%
24 NGUYEN Kira - - 4% 21% 44% 31%
25 FURMAN Maria - - 4% 21% 41% 28% 5%
26 KORFONTA Jolie - - - 2% 15% 42% 41%
27 SU Evelyn 1% 13% 36% 35% 13% 2%
28 SHELIN Chelsea 1% 6% 23% 36% 26% 8% 1%
29 REID Anousheh - - 2% 12% 31% 37% 17%
30 CANNING Charlotte - 4% 18% 33% 29% 13% 2%
30 ZHANG Yixuan 1% 6% 19% 33% 29% 12% 2%
32 GUO Luxi 1% 11% 30% 36% 18% 3% -
33 RANDLEMAN Teresa - - 6% 25% 41% 24% 4%
34 SPRINGER Sierra - - 4% 17% 36% 34% 10%
35 HONG Elaine - 1% 8% 24% 37% 25% 5%
36 YOUNG VIVIAN 2% 14% 33% 33% 15% 3% -
36 BRUNSON Nile - 5% 21% 35% 27% 10% 1%
38 CHIRASHNYA Noya - 1% 9% 28% 39% 21% 1%
39 KUKVA Taisiya - 2% 12% 31% 37% 17% 2%
40 GORNOVSKY Abigail - 2% 10% 28% 35% 21% 5%
41 LI Zhenni (Jenny) - 2% 12% 30% 35% 17% 3%
42 LI Judy - 5% 18% 33% 30% 12% 2%
43 POTAPENKO Margarita D. - - 2% 15% 37% 36% 10%
44 SONG Angela - 4% 17% 34% 31% 12% 1%
45 TOLSMA Chloe (CJ) - 1% 5% 23% 39% 26% 6%
46 DAHER Yasmine 2% 15% 33% 32% 14% 2% -
47 BUSH emma - - 4% 21% 41% 29% 5%
47 BECKMAN Ana 1% 6% 22% 35% 26% 9% 1%
49 CHISHOLM Phoebe C. - 4% 21% 38% 28% 8% 1%
50 KUMAR Eva 1% 9% 27% 35% 22% 6% -
51 DESAI Meera P. - 1% 6% 23% 44% 26%
52 PEHLIVANI Zara - 2% 11% 31% 39% 17%
53 GUJJA Misha - 1% 8% 25% 37% 23% 5%
54 SUN Renee R. - 5% 19% 34% 30% 11% 1%
55 DOROSHKEVICH Victoriia - 4% 22% 44% 30%
56 CARRIER Meredith 31% 43% 21% 4% -
57 QI Jarynne Valerie - 3% 20% 40% 28% 8% 1%
58 CHERNIS Zoe C. - 1% 10% 27% 36% 21% 4%
59 MUN Brianna K. - 1% 9% 25% 35% 24% 6%
60 LI Fei - 5% 23% 38% 27% 7% -
61 LI Suri 7% 29% 38% 21% 5% -
62 XIONG Angelica 5% 26% 39% 23% 6% 1%
63 LU Samantha R. - 6% 23% 38% 27% 7%
64 NGUYEN Ashley L. 15% 37% 32% 13% 3% - -
65 SWENSON Nikita G. - 4% 18% 36% 32% 10%
66 YAO Melinda - 1% 5% 18% 34% 31% 11%
67 KIM Zoe L. - - 1% 8% 30% 42% 19%
68 AI Amy - 2% 10% 28% 36% 20% 4%
69 CHANG Celine A. 2% 11% 28% 34% 19% 5% -
70 LIU Nicole 1% 7% 28% 40% 21% 4%
71 ANDERSON Claire 2% 14% 34% 33% 14% 2%
72 LEE Natasha - 1% 7% 26% 43% 23%
73 WITTER Catherine A. 1% 10% 32% 41% 16%
74 REMEZA Alissa - - 1% 10% 32% 40% 17%
75 CHI Chelsea - 4% 16% 34% 33% 12% -
76 GEVA Eliana 4% 22% 37% 27% 9% 1% -
77 FENG ge - 2% 11% 28% 35% 20% 4%
78 CALDERA Lexi I. - - 4% 16% 34% 34% 12%
79 MARTYNOVA Diana 5% 21% 34% 27% 11% 2% -
80 HESS Heidi J. - 2% 12% 29% 35% 19% 3%
81 SMUK Alexandra S. 1% 6% 21% 35% 28% 10% 1%
81 SENYUVA Su - 2% 13% 37% 35% 12% 1%
81 SHU Youshan - 2% 10% 27% 36% 21% 4%
84 CHOI Grace 1% 7% 24% 36% 25% 7% 1%
85 SMOTRITSKY Mia - - 2% 13% 31% 37% 16%
86 RICHARDSON Meredith 3% 17% 34% 31% 13% 2% -
87 LEE Olivia - 4% 17% 34% 31% 13% 2%
88 KUMAR Anusha 6% 28% 39% 22% 5% -
89 BEZUGLAYA Varvara - 1% 9% 29% 41% 19%
90 CAFASSO Natalya - 4% 19% 40% 32% 4%
91 WANG Ziqi (yoyo) - 5% 22% 35% 27% 10% 1%
92 LEEDER Elizabeth 1% 8% 28% 37% 21% 5% -
93 LIN Elaine - 2% 10% 27% 36% 21% 5%
94 DUONG Zoey 20% 38% 29% 11% 2% - -
95 NGUYEN Ella 20% 42% 29% 8% 1% - -
95 PINNAMANENI Drithi 1% 10% 28% 34% 20% 6% 1%
97 KRUMHOLZ Nicole - 3% 16% 33% 32% 13% 2%
98 TANG Elaine 23% 41% 27% 8% 1% - -
99 WONG Alexandra R. 11% 37% 37% 14% 2%
100 HUANG Lanlan - 3% 17% 37% 30% 10% 1%
101 PULLARA Ashley 1% 19% 36% 29% 12% 2% -
102 ZHU Serene M. 1% 9% 26% 34% 22% 7% 1%
102 WANG Angelina 1% 10% 36% 36% 14% 2% -
104 YANG Alisa - 1% 11% 33% 40% 14%
105 BEAVER Ava 4% 20% 38% 29% 9% 1%
105 BALAKRISHNAN Trisha 33% 43% 20% 4% - -
107 LEWIS Rachel 13% 38% 35% 13% 2% -
108 JAKEL Alysa C. 2% 12% 30% 35% 18% 3%
109 LIN Ashley 1% 12% 33% 37% 15% 1%
110 MENDOZA zoie 20% 40% 29% 10% 1% -
111 PHUKAN Indra 4% 21% 38% 28% 8% 1%
112 MISHIMA Audrey 21% 45% 27% 7% 1% -
113 SALISTRA Emilia 30% 42% 22% 5% - -
114 KOVALCHUK Erika S. 13% 33% 33% 16% 4% - -
115 LIN Ariel 5% 22% 36% 26% 9% 1% -
116 DONDISCH Andrea 56% 35% 8% 1% - - -
117 LI Clara 7% 29% 39% 20% 5% - -
118 WANG Victoria 6% 26% 37% 23% 7% 1% -
119 YAO KATHARINE 2% 12% 32% 33% 17% 4% -
120 WANG Jessie 4% 21% 36% 28% 10% 1% -
121 ELSTON Sophia - 1% 9% 25% 36% 24% 5%
122 LEE Yedda - 2% 10% 28% 38% 20% 2%
123 PRESMAN Aerin 10% 30% 35% 19% 5% 1% -
124 PECK Maia A. 7% 30% 40% 20% 3%
125 TONG Lauren 3% 20% 39% 29% 8% -
126 CHA Eugenie 2% 13% 32% 34% 16% 3%
127 HSIU Elizabeth 1% 9% 26% 35% 22% 6% 1%
128 YOU Emily - 2% 12% 31% 36% 17% 1%
129 KORKIN Alice 1% 7% 24% 36% 24% 7% 1%
130 IYER Ishana 17% 42% 31% 9% 1% - -
131 LEE Camilla 2% 16% 34% 31% 14% 3% -
132 FERNLUND Helen 7% 36% 41% 14% 2% - -
133 TRAN Helena 16% 38% 32% 12% 2% -
134 FAN Elizabeth 10% 35% 36% 15% 3% -
135 CHENG Katherine 42% 41% 15% 2% - -
136 LENDIS Gabrielle 6% 26% 39% 23% 6% 1% -
137 DAYAL Saahira 21% 43% 27% 8% 1% - -
137 GUESNARD Maelig 34% 42% 19% 4% - - -
139 LI Azalea 6% 23% 36% 26% 9% 1% -
140 RUSSELL Alison 1% 13% 32% 34% 17% 4% -
141 MARTIN Adriana 32% 45% 20% 4% - - -
141 MULAGARI Swarasai 28% 44% 23% 5% - - -
143 CHUANG Ramona 29% 42% 23% 6% 1% - -
144 PRIHODKO Nina 2% 11% 27% 33% 21% 6% -
145 TAMBELLINI Savannah 13% 38% 36% 11% 2% - -
146 LIANG Jingjing 7% 35% 41% 15% 2% - -
147 SCANLAN Claire 29% 50% 18% 2% - - -
148 KOZLOWSKI Maya M. - 5% 23% 36% 26% 9% 1%
149 SHIV Avni 1% 6% 20% 33% 28% 11% 1%
150 LIU Baihan 5% 27% 38% 23% 7% 1% -
151 LAI Amanda 41% 40% 16% 3% - - -
152 BROWN Riley 16% 39% 33% 10% 1% - -
153 LEE Samantha X. 19% 41% 29% 9% 1% - -
154 SHARMA Sanvi 1% 9% 28% 36% 21% 5% -
155 BLANCO Ariia 33% 43% 20% 4% - - -
156 CONNOLLY Natasha 41% 45% 12% 1% - - -
157 FREEMAN Kate 36% 45% 17% 3% - -
158 HOAGLAND Sally 54% 36% 9% 1% - - -
159 MEWES Katie M. 20% 40% 29% 10% 2% - -
160 CHIRASHNYA Mika 40% 42% 16% 3% - -
161 STOMMEL-DIAZ Charly 22% 40% 27% 9% 1% - -
162 MOLLINIER Angel 13% 38% 35% 12% 2% - -
163 VICKERMAN Lilly 13% 38% 33% 13% 3% - -
164 CHANG chaehee 82% 16% 1% - - - -
165 OBERDERFER Viktoriia 12% 35% 34% 15% 3% - -
166 YIN Gabriela 27% 43% 24% 6% 1% - -
167 YOUSSEF Caroline 56% 37% 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.