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October NAC

Cadet Women's Épée

Saturday, October 28, 2023 at 2:00 PM

Orange County Convention Center - Orlando, FL, 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 KORFONTA Jolie - - - - 5% 32% 63%
2 YIN Julia - - - 1% 10% 39% 50%
3 CHISHOLM Phoebe C. - 1% 6% 21% 36% 29% 8%
3 LEE REGINA - - - 1% 8% 34% 57%
5 LIN Elaine - - 1% 10% 30% 40% 19%
6 ZHANG Victoria R. - - - 1% 7% 34% 59%
7 BARG Daniella - - 4% 18% 35% 32% 10%
8 GAJJALA Sharika R. - - - 1% 7% 34% 59%
9 TOLSMA Chloe (CJ) - - 1% 7% 28% 44% 21%
10 CARRIER Meredith - 1% 8% 25% 37% 24% 5%
11 YU Nicole J. - - - 4% 18% 42% 36%
12 POTAPENKO Margarita D. - - 2% 14% 38% 37% 9%
13 SCHMITT Harper 2% 14% 34% 33% 14% 2% -
14 YOU Emily - 4% 19% 38% 31% 9%
15 ELSTON Sophia - 3% 17% 37% 33% 10%
16 DUBEAU Alexa - 5% 17% 31% 30% 14% 3%
17 ZIGALO Elizabeth - - - - 4% 27% 69%
18 SOBUS Yanka 3% 18% 36% 31% 11% 1%
19 SPRINGER Sierra - - - 4% 21% 45% 31%
20 BECKMAN Ana - - 2% 9% 26% 39% 23%
21 LEE Scarlett - - 2% 12% 31% 37% 16%
22 XUAN Nicole J. - - - - 3% 24% 74%
23 LI Fei - 2% 9% 25% 35% 23% 5%
24 BUSH emma - 1% 5% 19% 35% 30% 10%
25 GUO Luxi - 3% 14% 32% 34% 15% 2%
26 RAKHOVSKI Alexandra - 1% 6% 24% 43% 26%
27 SHIV Avni - - 2% 10% 31% 42% 16%
28 FURMAN Maria - - 5% 24% 41% 25% 4%
29 KOZLOWSKI Maya M. - - 1% 7% 27% 43% 22%
30 WANG Zoe - 1% 8% 25% 37% 24% 5%
31 PRESMAN Aerin 2% 11% 28% 33% 19% 6% 1%
32 WALLER DEL VALLE Alanis 6% 25% 38% 25% 7% 1%
33 SMUK Alexandra S. - 2% 13% 34% 37% 14%
34 PECK Maia A. - - 4% 20% 39% 31% 6%
35 SHU Youshan - - 4% 17% 35% 33% 10%
36 GEVA Eliana - 4% 18% 35% 30% 12% 2%
37 QI Jarynne Valerie - - 2% 13% 32% 37% 15%
38 NEMETH Katherine - - 3% 14% 35% 36% 12%
39 CAFASSO Natalya - 1% 8% 25% 36% 24% 6%
40 SEREGIN Katya 1% 9% 28% 36% 20% 5% -
41 CANNING Charlotte - - 3% 16% 38% 34% 8%
42 HAFEEZ Hania - - - 2% 12% 40% 46%
43 FENG Ge - 2% 11% 31% 40% 16%
44 PINNAMANENI Drithi - 1% 7% 25% 40% 24% 3%
45 PROFIS Liora - 1% 10% 34% 38% 15% 2%
46 XIAO Nancy - 1% 6% 24% 39% 25% 5%
47 NGUYEN Tallulah - - - 1% 10% 38% 51%
48 BALAKRISHNAN Trisha - 4% 20% 37% 29% 9% 1%
49 FREEMAN Kit 6% 24% 34% 25% 9% 2% -
50 LI Zhenni (Jenny) - - 2% 15% 41% 36% 6%
51 DEPOMMIER Isabelle - 4% 16% 31% 31% 15% 3%
51 YANG Alisa - - 1% 6% 24% 43% 26%
53 HAFEEZ Hiba - 1% 10% 33% 39% 16% 2%
54 JAKEL Alysa C. - 2% 12% 32% 37% 16% 2%
55 ZHU Serene M. - 1% 7% 25% 38% 24% 5%
56 YAO Melinda - - 1% 9% 29% 41% 19%
57 CAMPBELL Eva 4% 20% 38% 28% 9% 1%
58 BEZUGLAYA Varvara - 1% 6% 25% 42% 26%
59 SENYUVA Su 1% 8% 28% 38% 22% 4%
60 LEE Olivia - - 1% 6% 23% 42% 28%
61 WATTANAKIT Anda - - 3% 19% 43% 30% 4%
62 ABUELFUTUH Sama - 6% 24% 37% 24% 7% 1%
63 FRANGER Macy - 6% 24% 38% 25% 6% -
64 MISHIMA Audrey 2% 13% 29% 32% 18% 5% 1%
65 SONG Angela - - 1% 9% 28% 41% 21%
66 LEE Natasha - - 1% 4% 19% 41% 35%
67 KIM Zoe L. - - - 1% 11% 39% 49%
68 SKILLMAN Natalie 4% 23% 39% 26% 7% 1% -
69 MUELLER Emma M. - - 1% 8% 29% 42% 20%
70 KIM Jayna - - 3% 17% 37% 34% 8%
70 FERREIRA DE MELO Adriana - 2% 12% 29% 34% 19% 4%
70 PHUKAN Indra - - 5% 22% 42% 28% 3%
73 XIONG Angelica - 1% 8% 27% 39% 21% 3%
74 KAUR Manroop 12% 38% 35% 13% 2% - -
75 XU Serena - 4% 18% 35% 30% 11% 1%
76 ELTERMAN Kate 9% 41% 37% 12% 1% - -
77 AZMEH nour - - 2% 15% 39% 36% 8%
78 WITTER Catherine A. - - - 3% 16% 43% 39%
79 KUMAR Anusha - 5% 22% 39% 26% 7% 1%
80 SWENSON Nikita G. - 1% 9% 29% 41% 19%
81 HILBY Olivia 39% 44% 15% 2% - -
82 AI Amy - 1% 7% 26% 42% 24%
83 XU Celina 29% 48% 19% 3% - -
84 LIANG Jingjing 1% 9% 29% 37% 19% 3%
85 LIU Baihan 1% 9% 25% 34% 23% 7% 1%
86 HAYNES Antonia 2% 14% 32% 33% 16% 4% -
87 GUJJA Misha - 1% 9% 28% 37% 21% 4%
88 NIX Reagan - 1% 7% 28% 41% 21% 2%
89 SHANKERDAS Shreeya 5% 31% 43% 18% 3% - -
90 KUMAR Eva - 2% 10% 30% 38% 18% 2%
91 WONG Caitlin 3% 15% 31% 31% 16% 4% -
91 PARSONS Mischa 4% 25% 38% 25% 7% 1% -
93 NOVOJILOV Anastasia - 4% 19% 36% 30% 9% 1%
94 CHANG Chloe 1% 15% 37% 33% 12% 2% -
95 NGUYEN Ashley L. 1% 8% 30% 40% 18% 3% -
96 SU Evelyn - 1% 9% 28% 39% 21% 2%
97 FLITMAN Gabrielle 10% 36% 37% 14% 2% - -
98 STERN Savannah 19% 40% 29% 10% 2% - -
98 MARTINEZ Christina 1% 11% 33% 36% 17% 3% -
100 MCQUEEN Morgan 4% 24% 41% 25% 5% - -
101 MUN Brianna K. - 1% 5% 22% 39% 28% 5%
101 JEYOON Lauren 46% 40% 12% 2% - - -
101 IYER Ishana 2% 13% 34% 34% 14% 2% -
104 WANG Jessie - 2% 11% 28% 36% 20% 4%
105 DONGES Anna - 3% 19% 41% 29% 8% 1%
106 CHIRASHNYA Mika 3% 25% 42% 24% 6% 1% -
107 CHUANG Ramona 3% 21% 38% 27% 9% 1% -
108 BEAVER Ava 1% 7% 30% 39% 20% 4%
109 LEE Claire 1% 7% 26% 39% 23% 5%
110 WANG Ziqi (yoyo) - 1% 12% 33% 38% 15%
111 FANG Jocelyn 8% 32% 38% 18% 4% - -
112 LEE Camilla - 4% 19% 37% 29% 10% 1%
113 MONOVA Lilyana 2% 12% 31% 34% 17% 4% -
114 KUDRYAVTSEVA Margarita - 4% 20% 39% 29% 8% -
115 WANG Victoria - 5% 21% 38% 27% 8% 1%
115 CREMONA Viola Maria - 3% 15% 33% 33% 14% 1%
117 WANG Trinity 1% 5% 19% 33% 29% 11% 2%
118 NEELAM Navya 1% 11% 32% 35% 17% 4% -
118 HALE Avery 9% 34% 37% 17% 3% - -
120 BARCLAY Khyri 6% 26% 36% 23% 8% 1% -
120 HSIU Elizabeth 1% 6% 24% 38% 24% 6% -
120 NGUYEN Ella 6% 34% 40% 17% 3% - -
123 STERR Isabella M. 1% 9% 28% 36% 21% 5% -
124 MEYER Rachel 13% 33% 33% 17% 4% 1% -
124 KALGAONKAR Arohi 2% 24% 40% 25% 7% 1% -
126 SMOTRITSKY Liat 8% 27% 35% 22% 7% 1% -
127 ILYAS Ayah 31% 43% 21% 5% - -
128 GANSER Nicole 12% 36% 35% 14% 2% -
129 RICHARDSON Meredith 1% 7% 23% 36% 25% 7% 1%
129 QI Julieanne 2% 13% 32% 34% 16% 3% -
131 HAUSHEER Kuncen 14% 41% 33% 11% 2% - -
132 BARDIN Kira 14% 36% 33% 14% 3% - -
133 LIANG Angela 46% 40% 12% 2% - - -
134 YOU Isabel B. 3% 19% 35% 29% 11% 2% -
134 FENG Iris 8% 31% 38% 19% 4% - -
136 FERNLUND Helen 5% 24% 37% 25% 8% 1% -
137 SAYAGUES Isabella 7% 30% 40% 19% 4% - -
138 SHETH Anayaà 38% 43% 17% 3% - - -
138 ZHANG Helen 39% 42% 16% 3% - - -
140 KERENYI Vilma 3% 15% 31% 31% 16% 4% -
141 MEYER Rebecca 15% 38% 32% 12% 2% - -
142 GAVASHELI Margarita 39% 42% 17% 3% - - -
143 WANG Ziqiao (Claire) 17% 43% 30% 9% 1% -
144 MOLLINIER Angel 19% 40% 30% 10% 1% -
144 CHANG Abigail 35% 46% 16% 2% - -
146 RAFFERTY Catherine 38% 43% 17% 3% - - -
147 CHATIKHINE Anastasia 2% 14% 34% 34% 14% 2% -
148 KOMAROW Anastasia 43% 42% 13% 2% - - -
149 NELSON Grace E. 19% 38% 30% 11% 2% - -
149 PULLEN Ayah 2% 14% 33% 33% 15% 3% -
151 DONG Angela 2% 12% 30% 34% 18% 4% -
152 WANG Angelina - 2% 13% 32% 35% 15% 2%
153 STOMMEL-DIAZ Charly 5% 25% 39% 24% 6% 1% -
154 LIU Nicole - 2% 10% 26% 35% 23% 5%
155 SYKES Elynor - 1% 8% 29% 40% 19% 3%
155 KOVALCHUK Erika S. 1% 8% 27% 36% 22% 6% 1%
157 HOAGLAND Sally 30% 44% 21% 4% - - -
157 LOZIER Grace 26% 43% 24% 6% 1% - -
157 SUN Hanya 1% 10% 28% 35% 20% 5% 1%
160 YUMIACO Nylah 33% 42% 20% 5% 1% - -
160 NOH Rachel 6% 36% 41% 15% 2% - -
162 MURPHY Katherine 20% 43% 28% 8% 1% - -
163 MARTIN Adriana 20% 42% 29% 8% 1% - -
164 TOFFELMIRE Audrey E. 21% 42% 28% 8% 1% - -
164 WALLER DEL VALLE Andrea 3% 22% 43% 25% 6% 1% -
166 YOUSSEF Caroline 17% 43% 31% 8% 1% - -
166 MILLER Cassandra 35% 44% 18% 3% - - -
168 LEWIS Rachel 4% 23% 40% 26% 7% 1% -
169 REKEDA Anna 7% 30% 37% 20% 5% 1% -
170 CHI Sarah 39% 42% 16% 3% - - -
171 DASILVA Mia 30% 41% 22% 6% 1% - -
172 LEE Gloria Y. 10% 33% 36% 17% 3% -
173 D'ANGELO Olivia 61% 33% 5% - - - -
174 CUEVA Viola 11% 38% 35% 14% 3% - -
175 KOH Millicent 75% 23% 3% - - - -
176 DAVIS Elisabeth 63% 32% 5% - - - -
177 MANIKANDAN Aashrithaa 57% 35% 8% 1% - - -
177 SUN Joanna 53% 36% 9% 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.