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(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

November NAC

Cadet Women's Épée

Saturday, November 11, 2023 at 1:00 PM

Fort Worth Convention Center - Fort Worth, TX, 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 XUAN Nicole J. - - - - 3% 26% 70%
2 YIN Julia - - - - 6% 31% 63%
3 LEE REGINA - - - 1% 11% 39% 49%
3 KORFONTA Jolie - - - - 3% 26% 71%
5 RAKHOVSKI Alexandra - - - 2% 12% 41% 45%
6 KIM Zoe L. - - - 1% 11% 39% 49%
7 CHISHOLM Phoebe C. - - 1% 9% 28% 42% 20%
8 SPRINGER Sierra - - - 1% 12% 42% 45%
9 FRANGER Macy 1% 6% 24% 38% 25% 6% < 1%
10 ZHANG Victoria R. - - - 1% 7% 33% 60%
11 YOU Emily - 2% 11% 31% 39% 17%
12 WANG Zoe - - 2% 12% 33% 39% 14%
13 YAO Melinda - - 1% 7% 25% 42% 25%
14 ZIGALO Elizabeth - - - - 3% 24% 73%
15 AZMEH nour - - 1% 9% 29% 41% 20%
16 GUO Luxi - 1% 8% 23% 35% 25% 7%
17 YANG Alisa - - - 1% 11% 38% 50%
18 FERREIRA DE MELO Adriana - 2% 10% 27% 35% 22% 5%
19 KUMAR Eva - 2% 12% 30% 36% 18% 2%
20 LEE Olivia - - 2% 13% 34% 37% 14%
21 SWENSON Nikita G. - - - 3% 18% 45% 34%
22 MUELLER Emma M. - - 1% 7% 26% 42% 24%
23 KOZLOWSKI Maya M. - - 1% 7% 28% 47% 18%
24 DAHER Yasmine - 3% 15% 33% 33% 13% 2%
25 SYKES Elynor - 1% 6% 26% 40% 24% 4%
26 TOLSMA Chloe (CJ) - - 1% 12% 46% 41%
27 XIONG Angelica - - 5% 21% 40% 29% 6%
28 SHIV Avni - 1% 7% 27% 43% 22%
29 POHREBNA Yeva - 1% 6% 25% 43% 24%
30 REID Anousheh - - 1% 6% 23% 41% 28%
31 YOUNG VIVIAN - - 3% 15% 37% 36% 9%
32 KIM Jayna - 1% 5% 20% 37% 30% 8%
33 HAFEEZ Hania - - - 3% 15% 42% 40%
34 LI Fei - - 2% 11% 31% 40% 16%
35 ZHEREBCHEVSKA Veronika - 1% 7% 24% 36% 25% 6%
36 WANG Ziqi (yoyo) - - 3% 19% 46% 32%
37 PECK Maia A. - - 1% 7% 24% 43% 25%
38 RANDLEMAN Teresa - - 3% 16% 35% 34% 11%
39 AI Amy - - 1% 6% 26% 46% 22%
40 JAKEL Alysa C. - - 3% 15% 37% 34% 10%
41 LIN Elaine - - 1% 8% 26% 41% 24%
42 NGUYEN Tallulah - - - 2% 12% 39% 47%
43 BALAKRISHNAN Trisha - 3% 14% 32% 35% 15% 2%
44 XIAO Nancy - - 4% 20% 43% 28% 5%
45 SMUK Alexandra S. - - 3% 20% 49% 28%
46 YU Nicole J. - - - 1% 8% 37% 54%
47 JIANG Kehui - 4% 17% 33% 31% 13% 2%
48 POTAPENKO Margarita D. - - 3% 14% 33% 37% 14%
49 RICHARDSON Meredith 1% 7% 24% 37% 25% 7% 1%
50 LISCUM Vivian 1% 9% 28% 36% 20% 5% -
51 CAMAMA Tessa - 4% 21% 38% 28% 8% 1%
52 BECKMAN Ana - - 1% 5% 23% 43% 28%
53 SENYUVA Su - 1% 10% 28% 36% 21% 4%
54 YILMAZ Pinar - 2% 11% 30% 36% 18% 3%
55 WANG Jessie - 2% 10% 27% 35% 21% 5%
56 CARRIER Meredith - 2% 11% 30% 39% 18%
57 MARTINEZ Christina 10% 30% 36% 19% 5% -
58 DUBEAU Alexa 7% 26% 38% 23% 6% -
59 SHARMA Sanvi - 2% 16% 36% 34% 11% 1%
60 STERR Isabella M. - 3% 17% 38% 31% 10% 1%
61 CHATIKHINE Anastasia 2% 11% 28% 34% 20% 5% -
62 PHUKAN Indra - 1% 8% 25% 39% 24% 3%
63 CHEN Stephanie 1% 9% 29% 36% 20% 5% -
64 JIN Zhengtian 6% 24% 37% 25% 8% 1% -
65 LEE Scarlett - - 1% 9% 28% 40% 22%
66 SONG Angela - - 1% 7% 25% 42% 25%
67 LEE Gloria Y. 1% 14% 35% 33% 14% 3% < 1%
68 BEZUGLAYA Varvara - - - 3% 16% 43% 38%
69 PROFIS Liora - - 1% 11% 37% 40% 10%
70 ZHAO Alina - 5% 22% 37% 27% 9% 1%
71 SOBUS Yanka - 2% 12% 30% 36% 18% 2%
72 LIN Ariel - 4% 19% 36% 30% 10% 1%
73 PINNAMANENI Drithi - 1% 10% 27% 36% 21% 5%
74 LEE Natasha - - - 2% 15% 45% 38%
75 SEREGIN Katya - 5% 23% 38% 26% 7% 1%
76 BEAVER Ava - - 4% 18% 36% 31% 9%
77 MARTYNOVA Diana - 3% 15% 34% 34% 13% 1%
78 CHI Chelsea - - 4% 18% 37% 31% 9%
79 QI Jarynne Valerie - - 1% 5% 22% 43% 30%
80 HALE Avery 5% 23% 37% 26% 8% 1% -
81 JIANG Serena - 6% 21% 34% 27% 10% 1%
82 BARG Daniella - - 1% 9% 27% 40% 23%
83 PULLEN Ayah 2% 15% 36% 34% 12% 1%
84 BUSH emma - - 4% 22% 46% 26%
85 FURMAN Maria - - 3% 15% 35% 35% 12%
86 SHU Youshan - - 4% 19% 40% 32% 4%
87 GUJJA Misha - - 3% 16% 37% 33% 10%
87 NEELAM Navya 1% 11% 29% 34% 19% 5% 1%
89 NEMETH Katherine - - 4% 18% 37% 33% 8%
90 HABEK Sophia - 6% 22% 37% 27% 8% 1%
91 FENG Ge - - 3% 13% 31% 36% 16%
92 WITTER Catherine A. - - 1% 5% 21% 43% 30%
93 QIAN Irene - 4% 17% 34% 31% 12% 2%
94 ILYAS Ayah 10% 32% 36% 18% 4% - -
95 BARG Margaret - 5% 23% 39% 26% 6% -
96 MOLLINIER Angel 1% 11% 32% 36% 17% 3% -
97 LI Olivia 5% 23% 36% 26% 9% 1%
98 QI Julieanne 3% 18% 38% 31% 9% 1%
99 DEPOMMIER Isabelle - 4% 17% 35% 33% 11% 1%
100 SCANLAN Claire 6% 34% 38% 18% 4% - -
101 ZANGA Kaitlyn - 1% 8% 25% 36% 24% 6%
102 KUMAR Anusha - 4% 16% 32% 31% 14% 2%
103 MCCLURE Samar 3% 17% 35% 31% 12% 2% -
104 MYRAH Vivienne 1% 12% 32% 34% 17% 4% -
105 KUDRYAVTSEVA Margarita 1% 8% 28% 36% 21% 5% -
105 XU Celina 1% 16% 36% 32% 13% 2% -
107 NIX Reagan - - 5% 20% 38% 30% 6%
108 WATTANAKIT Anda - - 3% 15% 38% 39% 6%
109 ABUELFUTUH Sama - 3% 15% 37% 34% 11% 1%
110 VAN VACTER Madelynn - 7% 28% 39% 21% 4% -
111 LIU Nicole - 4% 16% 32% 31% 14% 2%
111 SMOTRITSKY Liat 3% 18% 34% 29% 12% 3% -
113 CANNING Charlotte - - 4% 18% 36% 32% 9%
114 CHANG Chloe 2% 15% 35% 33% 13% 2% -
115 LEE Camilla - 2% 12% 33% 36% 16% 2%
116 LEE Claire - 2% 10% 28% 37% 21% 3%
117 WANG Sophie Y. 11% 33% 36% 17% 3% - -
118 LIANG Jingjing - 2% 11% 31% 36% 17% 3%
119 XU Jessica 27% 44% 24% 5% - -
120 ELSTON Sophia - - 1% 6% 26% 45% 22%
121 ELTERMAN Kate 8% 30% 38% 19% 4% - -
122 CAMPBELL Eva - 2% 12% 33% 36% 15% 2%
123 XU Serena 1% 7% 26% 36% 23% 6% 1%
124 CHEN Alicia 2% 21% 39% 28% 9% 1% -
125 KALGAONKAR Arohi 7% 28% 38% 21% 6% 1% -
126 KOVALCHUK Erika S. 8% 27% 36% 22% 6% 1%
127 VARAN Kateryna 15% 38% 34% 12% 1% -
128 GUAN Isabella - 4% 19% 36% 30% 9% 1%
129 SUICO Kyubi Emmanuelle 2% 14% 38% 33% 12% 2% -
130 SCHMITT Harper 1% 9% 26% 35% 22% 6% 1%
131 NGUYEN Ashley L. 1% 9% 29% 37% 20% 4% -
132 STERN Savannah 8% 30% 37% 19% 4% - -
133 NGUYEN Ella 8% 28% 37% 22% 6% 1% -
134 MADANNAVAR Trisha 47% 40% 12% 2% < 1% - -
135 WANG Angelina 1% 12% 33% 36% 15% 2%
136 HAFEEZ Hiba - 1% 8% 27% 37% 22% 5%
137 MALLAVARPU saanvi - 1% 6% 22% 37% 27% 7%
138 MUN Brianna K. - - 3% 17% 37% 33% 9%
139 PRESMAN Aerin 1% 9% 29% 37% 20% 5% -
139 KELLEY Elise 31% 45% 20% 4% - - -
141 ZHU Serene M. - - 2% 14% 35% 37% 11%
142 JEYOON Lauren 18% 40% 31% 10% 1% - -
143 WANG Ziqiao (Claire) 2% 13% 32% 35% 16% 3% -
144 CAFASSO Natalya - - 2% 10% 29% 39% 20%
145 BEATIE Isabella M. 9% 29% 35% 20% 6% 1% -
145 MONOVA Lilyana 1% 8% 24% 35% 24% 7% 1%
145 CHUANG Ramona 4% 22% 37% 27% 9% 1% -
148 ENRILE Erica 2% 13% 31% 34% 17% 3% -
149 KANASKAR Ila 9% 29% 35% 21% 6% 1% -
149 LAI Amanda 1% 10% 31% 35% 18% 4% -
151 LIU Baihan - 2% 12% 30% 35% 18% 4%
152 LI Zhenni (Jenny) - 1% 6% 21% 36% 28% 8%
153 SU Evelyn - 2% 13% 32% 35% 15% 2%
154 GAN Shelby 24% 45% 25% 6% 1% - -
155 LEWIS Rachel 1% 10% 30% 36% 19% 4% -
156 CHUNG Penelope 6% 27% 39% 22% 5% -
157 BAWA Jenya 12% 36% 36% 14% 1% -
158 GANSER Nicole 5% 25% 36% 24% 8% 1% -
159 PULLARA Ashley - 2% 11% 31% 37% 17% 2%
160 MEYER Rebecca 8% 34% 38% 17% 3% - -
161 YOU Isabel B. 1% 14% 38% 33% 12% 2% -
162 MCQUEEN Morgan 8% 29% 37% 21% 5% - -
162 LEE Yeriel 11% 32% 34% 18% 5% - -
162 SHEFFIELD Skye 3% 16% 33% 31% 14% 3% -
165 FAN Elizabeth - 2% 12% 31% 36% 17% 2%
166 WALLER DEL VALLE Alanis 1% 8% 24% 35% 25% 7% -
167 WANG Victoria 1% 8% 23% 35% 25% 7% -
168 CHANG chaehee 40% 42% 16% 3% - - -
169 WONG Caitlin 3% 15% 33% 32% 14% 3% -
170 KAUR Manroop 6% 25% 37% 24% 7% 1% -
171 BLANCO Ariia 12% 34% 35% 16% 3% - -
172 NOVOJILOV Anastasia - 2% 11% 31% 37% 17% 2%
173 OPIELA Natalie 3% 20% 38% 29% 9% 1% -
174 REKEDA Anna 2% 15% 33% 33% 14% 2% -
175 SUN Hanya - 4% 18% 37% 31% 9% 1%
176 NELSON Grace E. 3% 20% 40% 28% 8% 1% -
177 DAGLI Saira Veronica 66% 30% 4% - - - -
177 KANE Chloe 7% 31% 38% 19% 4% - -
179 PARK elli 10% 33% 37% 17% 3% - -
180 YUMIACO Nylah 18% 39% 31% 11% 2% - -
181 TRAN Katherine 26% 44% 24% 6% 1% - -
182 RADOV Una 28% 46% 21% 4% - - -
183 TANG Elaine 9% 32% 38% 18% 3% -
184 WU Jessica 9% 31% 39% 19% 2% -
185 SCHOR Elisabeth 17% 38% 31% 11% 2% - -
186 HSIU Elizabeth 1% 7% 26% 37% 23% 6% -
187 KROPP Anne 15% 36% 33% 14% 3% - -
188 FLITMAN Gabrielle 25% 45% 24% 6% 1% - -
188 SCHERK Veronica 10% 29% 34% 20% 6% 1% -
190 HOAGLAND Sally 11% 37% 35% 14% 2% - -
191 ZHANG Helen 31% 47% 19% 3% - - -
191 LI Clara 24% 42% 26% 7% 1% - -
193 MEYER Rachel 18% 39% 30% 11% 2% - -
193 STOMMEL-DIAZ Charly 2% 15% 35% 34% 12% 1% -
195 MARTIN Adriana 12% 34% 35% 15% 3% - -
196 HE Anna 16% 39% 32% 11% 2% - -
196 SUN Joanna 46% 40% 12% 2% - - -
198 MISHIMA Audrey 1% 7% 25% 37% 23% 6% 1%
198 BI Michelle 10% 40% 36% 12% 2% - -
200 PYE Emily 13% 37% 35% 13% 2% - -
200 ZHAO Yanning 31% 44% 21% 4% - - -
200 WEI Sherry 15% 36% 33% 14% 3% - -
203 ZHU Riley 14% 39% 33% 12% 2% - -
204 HERNANDEZ-CHENG Isabel 11% 32% 35% 18% 4% - -
205 WU Michelle 6% 24% 36% 25% 8% 1% -
206 WALLER DEL VALLE Andrea 2% 18% 38% 31% 11% 1% -
207 HAUSHEER Kuncen 10% 31% 36% 18% 4% - -
208 LEE Claudia 65% 30% 5% - - - -
209 CHIRASHNYA Mika 6% 24% 35% 25% 9% 1% -
209 WANG Selina 23% 42% 27% 7% 1% - -
211 MOORADIAN Anya 15% 37% 33% 13% 2% - -
212 LIN Isabel 10% 36% 36% 15% 3% - -
213 REED Katya 70% 27% 3% - - - -
214 STOY Sophia 41% 43% 14% 2% - - -
215 TANG RUIRUI 3% 19% 35% 29% 12% 2% -
216 YOUSSEF Caroline 42% 41% 14% 2% - - -
217 BHATT Anisha 2% 12% 31% 35% 17% 3% -
218 JAMES Ashley 11% 37% 34% 14% 3% - -
219 PANG Ashley 29% 43% 23% 5% - -
220 AWALEGAONKAR Saina 37% 41% 18% 4% - - -
220 VIOLETTE Lih-Ann 69% 27% 4% - - - -
222 BARDIN Kira 7% 30% 37% 20% 5% 1% -
223 CHANG Abigail 20% 43% 28% 8% 1% -
224 FISCHBEIN Quinley 18% 46% 28% 7% 1% - -
224 TANG Ellen 17% 39% 31% 11% 2% - -
224 WU Madisen 53% 37% 9% 1% - - -
227 AIRES Julia < 1% 5% 22% 38% 27% 8% 1%
228 MCKENNA Analise 27% 42% 24% 6% 1% - -
229 ZHENG Linden 8% 27% 36% 22% 6% 1%
230 WANG Cecilia 45% 39% 13% 2% - - -
231 PETROFF Eva 8% 43% 36% 11% 2% - -
232 LI Yunxuan (Joy) 10% 45% 34% 10% 1% - -
233 HE Lizbeth 45% 40% 13% 2% - - -
234 LOZIER Grace 23% 41% 27% 8% 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.