October NAC

Div I Women's Épée

Friday, October 3, 2025 at 8:00 AM

Salt Palace Convention Center - 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 LEE REGINA - - - 2% 13% 41% 44%
2 HUSISIAN Hadley N. - - - - 1% 15% 84%
3 VERRET Alexanne - - - 1% 16% 59% 24%
3 CHO Minju 9% 31% 37% 19% 4% -
5 LOUIS-MARIE Alexandra - - 3% 14% 33% 36% 14%
6 CHIN Isabella - - - 1% 11% 41% 47%
7 KORFONTA Jolie - - 2% 14% 40% 44%
8 LIU Charlene (Kai) - - - < 1% 1% 19% 80%
9 LIN Jessica Y. - - 2% 20% 61% 18%
10 XUAN Nicole J. - - - 3% 16% 40% 40%
11 XIAO Ruien - - - 2% 14% 41% 43%
12 YOUNG VIVIAN 1% 6% 23% 38% 26% 6% < 1%
13 NIXON Catherine (Kasia) D. - - - - 2% 20% 79%
14 VAN BRUMMEN Anna C. - - - 1% 16% 83%
15 WATRALL Christina - - 2% 10% 31% 41% 16%
16 KOZLOWSKI Maya M. - 3% 15% 38% 38% 6% -
17 OXENREIDER Tierna A. - - - - 1% 12% 88%
18 FALLON Kyle R. - - - 1% 11% 39% 48%
19 BECKMAN Ana - - 3% 13% 32% 36% 16%
20 BOTVINNIK Yana - - - - 3% 35% 62%
21 CAFASSO Natalya - 1% 6% 23% 38% 27% 5%
21 WANG Zoe - 2% 12% 30% 35% 18% 3%
23 LEE Sumin - - - 1% 7% 33% 59%
24 YIN Julia - - - 1% 10% 37% 51%
25 MACHULSKY Leehi - - 1% 8% 35% 56%
26 YANG Alisa - - 1% 8% 30% 44% 16%
27 STERR Isabella M. 1% 7% 25% 37% 25% 6% -
28 SWENSON Nikita G. 1% 13% 42% 38% 6%
29 SOBUS Yanka - 5% 23% 43% 26% 2%
30 WITTER Catherine A. - 2% 13% 40% 37% 8% 1%
31 WANG Karen - - 4% 17% 36% 33% 11%
33 ZHANG Victoria R. - - 5% 34% 40% 17% 2%
34 CHI Chelsea 1% 6% 20% 33% 28% 11% 1%
35 KETKAR Ketki - - - - 7% 39% 54%
36 SHIV Avni - - 4% 17% 34% 33% 12%
37 BALAKRISHNAN Trisha 1% 6% 22% 36% 27% 8% -
38 DUBEAU Alexa - 1% 8% 24% 35% 25% 6%
39 NIXON Caroline (Karolina) L. - - - 2% 13% 39% 45%
40 GORNOVSKY Abigail - 6% 23% 37% 26% 7% -
41 KHAMIS Yasmine A. - - 4% 29% 66%
42 WONG Caitlin 11% 35% 38% 15% 1% -
43 YAO Melinda - 1% 9% 31% 42% 16%
43 HAUSHEER Kuncen 10% 34% 40% 16% 1% -
45 BOS Valentina - - 1% 8% 48% 43%
46 LISCUM Vivian 2% 11% 29% 35% 19% 4% -
47 PRESMAN Aerin 1% 9% 26% 34% 22% 7% 1%
48 CAMPBELL Eva - 6% 25% 43% 25% 2%
49 PIRKOWSKI Amanda L. - - 1% 7% 26% 42% 24%
50 JOYAL Anne-Sophie - 3% 13% 30% 34% 18% 3%
51 WU Michelle 1% 6% 22% 35% 26% 8% 1%
52 BALAZS Luca 10% 30% 35% 19% 5% 1% -
53 YANG Seunghye - 4% 18% 37% 31% 9% 1%
54 WANG Ziqi (yoyo) - 1% 4% 18% 35% 32% 11%
54 PARK Hyeongeun 1% 7% 24% 35% 24% 8% 1%
56 CAMAMA Tessa 5% 24% 36% 25% 9% 1% -
57 CHEN Lefu - - 2% 14% 38% 41% 5%
58 LEE Scarlett - - 3% 14% 32% 36% 15%
59 HUREL Bertille - 3% 13% 30% 34% 17% 3%
60 LEE Claire - 5% 20% 34% 28% 11% 2%
61 SEBASTIAN Felicity A. - 1% 6% 23% 39% 27% 5%
62 TOBY Natalia R. - - - 6% 26% 44% 24%
63 KUNJAN Lena R. - - 2% 13% 34% 39% 11%
64 HANKINS Morgan - 5% 20% 33% 28% 11% 2%
65 BASRALIAN Azniv 1% 9% 25% 34% 22% 7% 1%
66 PROFIS Liora - - 2% 12% 31% 39% 15%
67 ZIGALO Elizabeth - - - 3% 15% 40% 41%
68 RAUSCH Ariana (Ari) M. - - 1% 5% 19% 41% 35%
69 BEI Karen - - - 3% 22% 53% 21%
70 DAMRATOSKI Anna Z. - - 4% 17% 34% 32% 11%
71 QI Julieanne 3% 16% 33% 31% 14% 3% -
72 KIM Dain - - 2% 10% 28% 38% 21%
73 BEAVER Ava 4% 20% 35% 29% 10% 1%
75 RAKHOVSKI Alexandra - - 3% 16% 43% 38%
76 NOVOJILOV Anastasia 14% 35% 33% 14% 3% -
77 CHISHOLM Phoebe C. - 3% 13% 29% 34% 18% 3%
78 NEMETH Katherine - 4% 18% 34% 32% 11% -
79 XU Yvette - 3% 16% 35% 33% 11% 1%
80 SMUK Alexandra S. - 1% 6% 21% 35% 28% 8%
81 AI Amy 1% 8% 24% 35% 24% 8% 1%
82 MEHROTRA Anya - 1% 8% 28% 40% 20% 3%
83 DUNLAP-SMITH Azaline I. - - - 9% 33% 41% 16%
85 CHI Zoe 25% 47% 23% 5% < 1% - -
86 GUO Luxi - 1% 5% 19% 37% 32% 6%
86 ZHUANG Lauren 22% 40% 27% 9% 1% - -
88 ZANGA Kaitlyn 1% 7% 26% 39% 24% 3%
89 KIM Zoe L. - 5% 27% 51% 16% 1%
90 WANG Trinity 3% 20% 37% 28% 10% 1% -
91 GEVA Eliana 1% 10% 28% 35% 20% 5% -
91 YILMAZ Pinar - 2% 10% 27% 36% 21% 4%
93 SCHULTZ Nomi 27% 41% 24% 7% 1% - -
94 SPRINGER Sierra - - 1% 5% 21% 42% 31%
95 MARTINEZ HANSEN Dayana C. - - - 4% 31% 65%
96 MILEWSKI Nicole - 4% 20% 37% 28% 9% 1%
96 WEBER Nora - 2% 13% 34% 35% 15% 2%
98 MONTOYA Kimberlee C. - 4% 17% 32% 31% 14% 2%
99 LI Caroline 9% 31% 36% 19% 5% - -
100 KUDRYAVTSEVA Margarita 15% 38% 33% 12% 2% -
100 CAVNAR Peyton 1% 11% 29% 34% 19% 5% 1%
102 MCQUEEN Morgan 16% 43% 33% 8% 1% - -
103 SEREGIN Katya - 2% 9% 27% 37% 22% 3%
104 DING Jiahe (Heidi) - - 1% 14% 39% 36% 10%
105 HONG Elaine - 2% 13% 40% 36% 8% 1%
106 FERREIRA DE MELO Adriana 1% 8% 25% 36% 24% 6% -
107 LAI Amanda 5% 23% 38% 27% 7% - -
107 JIANG Serena 15% 42% 35% 8% - -
109 CHEN Zhengnan(Janet) - - 5% 20% 36% 30% 9%
110 SUN Zeyu (Cathy) 2% 14% 33% 34% 15% 2% -
111 STOJAKOVIC Lola 17% 42% 30% 9% 1% - -
112 NELSON-LOVE Lily B. 1% 8% 26% 36% 23% 6% -
113 XU Sunia (Tai Yang) 6% 25% 39% 24% 6% -
114 XIAO Nancy 7% 27% 37% 23% 6% 1%
115 LONADIER Keira 2% 16% 35% 33% 12% 1%
116 FRANGER Macy 2% 16% 45% 34% 5%
117 MARTYNOVA Diana 3% 16% 35% 32% 12% 2% -
118 WANG Sophie Y. 6% 28% 41% 21% 4% -
119 DOROSHKEVICH Victoria - 1% 7% 24% 39% 26% 3%
120 SMOTRITSKY Mia 1% 9% 31% 37% 19% 4% -
121 FURMAN Maria 1% 11% 27% 34% 21% 6% 1%
122 KANG Yenna 32% 42% 21% 5% 1% - -
122 WALTER Anna 9% 29% 35% 20% 6% 1% -
124 WANG Ziqiao (Claire) 19% 39% 30% 10% 2% - -
125 ILYAS Ayah 1% 10% 28% 35% 21% 5% -
126 BRIDGE Rebekah 1% 10% 30% 37% 19% 4% -
127 KETKAR Mallika - 1% 9% 28% 38% 21% 3%
128 LEE Gloria Y. 12% 42% 33% 11% 2% - -
129 ABUELFUTUH Sama 1% 7% 23% 35% 25% 8% 1%
130 GUAN Isabella 15% 36% 32% 14% 3% - -
131 CARRIER Meredith - 3% 15% 33% 34% 13% 1%
131 ELSTON Sophia 1% 5% 19% 34% 29% 10% 1%
133 WANG Chantal 34% 48% 16% 1% - - -
134 DHAIYA Tanya 10% 32% 37% 18% 3% - -
135 SUN Hanya 4% 22% 36% 27% 10% 2% -
136 KANASKAR Ila 10% 35% 36% 15% 3% - -
137 WELLS Tesla M. - 4% 16% 33% 33% 13% 1%
137 GOH Cayla 3% 17% 32% 30% 14% 3% -
139 HOLDEN Helena 9% 29% 35% 20% 6% 1% -
140 XIONG Angelica 1% 9% 28% 39% 20% 2%
141 PRIHODKO Nina 2% 15% 37% 32% 12% 2% -
142 LI Olivia 2% 14% 31% 33% 16% 3% -
143 LEE Olivia - 4% 19% 35% 31% 11% -
144 NING Miranda 20% 39% 29% 10% 2% - -
145 SU Evelyn 11% 36% 36% 14% 2% -
146 MISHIMA Audrey 18% 40% 31% 10% 1% -
147 HEPLER Sarah 5% 22% 35% 26% 10% 2% -
148 RICHARDSON Meredith 3% 19% 36% 30% 11% 2% -
149 AZMEH nour 1% 6% 21% 34% 28% 10% 1%
150 HICKS Grace 4% 19% 35% 29% 12% 2% -
151 MENDOZA zoie 6% 25% 36% 24% 8% 1% -
152 NING Emma - - 1% 9% 31% 44% 15%
153 SUICO Kyubi Emmanuelle 10% 33% 35% 17% 4% 1% -
153 SONG Angela 2% 17% 37% 31% 11% 2% -
153 SUN Karolyn 10% 32% 35% 17% 4% 1% -
156 WANG Chloe 26% 42% 24% 6% 1% - -
157 SAYAGUES Isabella 23% 40% 27% 9% 1% - -
158 XU Jessica 2% 13% 33% 34% 15% 2% -
159 POTAPENKO Margarita D. - 2% 10% 27% 35% 22% 5%
159 BRAGG Leah 4% 20% 34% 28% 11% 2% -
161 OLELE Ifechi 15% 40% 33% 10% 1% -
162 JEYOON Lauren 26% 41% 25% 7% 1% - -
163 SALISTRA Emilia 17% 44% 33% 6% - -
164 MINOR Lindsey - 4% 17% 33% 31% 13% 2%
165 LIANG Jingjing 50% 39% 10% 1% - - -
166 GANSER Nicole 17% 40% 33% 10% - -
167 LEE Camilla 10% 34% 39% 16% 1% -
168 MERRIMAN Rie 16% 39% 32% 11% 2% -
169 JOYCE Michaela - < 1% - 5% 51% 43%
170 PETROFF Eva 48% 41% 10% 1% -
171 NEELAM Navya 5% 21% 36% 28% 9% 1%
172 PECK Maia A. 1% 9% 27% 37% 22% 4%
173 MA Sophie 5% 21% 35% 27% 10% 2% -
174 WANG Jessie 6% 27% 39% 23% 5% - -
175 BUSH emma 1% 11% 29% 34% 19% 5% 1%
176 HERNASA Anna 8% 35% 41% 14% 2% - -
177 SCHMITT Harper 2% 13% 31% 34% 17% 4% -
178 BROWN Riley 22% 39% 27% 10% 2% - -
179 MANDAP Svetlanna 2% 15% 33% 32% 15% 3% -
179 NGUYEN Audrey 1% 10% 29% 37% 19% 3% -
179 TAM Connie 31% 49% 19% 1% - - -
182 WU Jessica 2% 13% 30% 33% 17% 4% -
183 CHOI Jaeeun 15% 40% 33% 11% 1% - -
184 GAO Judy 2% 12% 29% 34% 19% 5% -
184 WANG Victoria 7% 36% 47% 9% 1% - -
186 KAUR Manroop 9% 31% 35% 19% 5% 1% -
187 KALGAONKAR Arohi 12% 35% 35% 15% 3% - -
188 BEATIE Isabella M. 27% 43% 24% 5% - - -
188 CHUANG Ramona 18% 40% 30% 10% 1% - -
188 BOROTKO Katerina 39% 40% 17% 3% - - -
191 XU Serena 2% 15% 31% 32% 16% 4% -
192 KUMAR Eva 1% 7% 23% 35% 25% 8% 1%
193 SHEFFIELD Skye 8% 29% 36% 20% 5% 1% -
194 DESANTIS-IBANEZ Elena 11% 34% 35% 16% 4% - -
195 MOLLINIER Angel 24% 41% 26% 8% 1% - -
196 MELLES Anne-Mai 1% 7% 22% 33% 26% 9% 1%
197 PHUKAN Indra 5% 23% 36% 25% 9% 1% -
198 LIN Ariel 3% 15% 32% 32% 15% 3% -
199 EDWARDS Auprell < 1% 4% 19% 35% 30% 11% 1%
200 IYER Ishana 29% 46% 22% 3% - -
201 MYRAH Vivienne 12% 34% 35% 16% 4% - -
201 MOHAN Riya 46% 39% 13% 2% - - -
203 KOVALCHUK Erika S. 34% 46% 18% 3% - - -
204 MARTINEZ Christina 19% 50% 27% 5% -
205 ZHU Riley 23% 42% 27% 7% 1% - -
206 LOZIER Grace 33% 42% 20% 4% 1% - -
207 NGUYEN Ella 20% 40% 30% 9% 1% - -
208 FOMINA Polina 37% 45% 17% 2% - - -
210 NORCONK Claire R. < 1% 5% 18% 33% 30% 12% 2%
211 SHU Youshan 7% 26% 36% 23% 7% 1% -
211 SCHOR Elisabeth 30% 44% 22% 4% - -
213 HOAGLAND Sally 32% 42% 21% 5% 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.