March NAC

Y-14 Women's Épée

Friday, March 6, 2026 at 8:00 AM

Huntington Convention Center of Cleveland - Cleveland, OH, 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 OLELE Ifechi - - - 1% 9% 35% 55%
2 HOLDEN Helena - - - 1% 7% 34% 58%
3 LEE Gloria Y. - - - 1% 7% 33% 60%
3 PEI Claire - 2% 15% 36% 36% 11%
5 HERNASA Anna - - - 5% 31% 64%
6 XU Serena - - - - 3% 26% 71%
7 CARCELLER Bernardita (Tini) - - 3% 14% 35% 37% 10%
8 DOBROSAVLJEVIĆ Kalina - - 2% 18% 47% 32%
9 ABUELFUTUH Sama - - - 1% 19% 79%
10 DESANTIS-IBANEZ Elena - - - 5% 26% 50% 18%
11 TALANDZEVICIUS Sophia - - - 3% 17% 42% 38%
12 ANEZIOKORO Zahra - - 4% 26% 52% 18%
13 QI Julieanne - - - - 4% 27% 68%
14 LIN Alexis - - 5% 23% 38% 27% 7%
16 BURROWS Beatrice - - 4% 18% 38% 35% 5%
17 WU Jessica - - - - 4% 29% 67%
18 FU Shannon - - - 2% 13% 41% 43%
19 ALLIEVI Simone - 3% 17% 34% 32% 12% 1%
20 LI Alice - - 1% 6% 24% 43% 26%
21 LEE Eden - - - 4% 20% 42% 33%
22 LI Allison - 2% 12% 30% 35% 17% 3%
23 CHI Zoe - - - 2% 12% 40% 46%
25 CHO Jacey - - 5% 23% 44% 25% 3%
26 WANG Nicole - 2% 14% 41% 38% 4%
27 ARULKUMAR Lashia - 1% 6% 21% 37% 28% 7%
27 LAW Mila - - 1% 6% 22% 41% 30%
29 CHEN Laila 2% 11% 29% 35% 20% 4% -
30 CORNFIELD Emily 5% 26% 42% 22% 4% -
31 VOSKOV Olivia - 1% 5% 23% 43% 28%
33 YIP Allison - 2% 10% 26% 35% 23% 5%
34 NGUYEN Renee - - 1% 8% 27% 41% 23%
35 BOBE Arianna 1% 10% 26% 34% 22% 7% 1%
36 AKUDOVICH Aleena - 3% 15% 35% 36% 12%
37 LI Anna - 1% 5% 19% 34% 31% 10%
38 KOUAME Candice - 1% 6% 25% 42% 24% 3%
39 TISMENSKY Avital - 2% 10% 28% 37% 20% 3%
40 CHOI Arianna - - 2% 12% 33% 40% 13%
41 SRIVASTAVA Aria 5% 26% 38% 24% 7% 1% -
42 GOTSABINA Elizabeth 1% 7% 24% 36% 24% 7% -
43 VIJAY Vaishnavi - 1% 13% 39% 40% 7%
44 FISCHBEIN Quinley - - 4% 22% 46% 28%
45 YOON Claire 5% 22% 34% 26% 10% 2% -
46 ZHANG Ashley - 1% 9% 26% 37% 23% 5%
47 RASHID Summer - 1% 8% 27% 39% 22% 4%
48 WANG Cecilia - - 1% 6% 25% 43% 24%
49 JIANG Alexandra - - 3% 17% 39% 34% 7%
50 XIONG Alice - - 3% 15% 35% 36% 10%
51 SUN Joanna 1% 6% 20% 34% 28% 10% 1%
52 DU Andria 1% 7% 23% 35% 26% 8% -
53 YOUN Kylie - 5% 20% 36% 30% 9%
54 WANG Olivia - 5% 21% 38% 29% 7%
55 NING Miranda - 2% 10% 29% 39% 20%
56 YARBILOVA Aya 4% 19% 35% 29% 11% 2%
57 SUNG Audrey - 5% 30% 39% 21% 5% -
58 YIN Elaine 1% 8% 25% 35% 23% 6% 1%
59 ANDRUS Allie - 3% 13% 30% 35% 18% 2%
60 LI Ariel - 4% 17% 34% 32% 12% 1%
61 KOU Cynthia 1% 8% 27% 36% 22% 6% -
62 TANG Ningyuan 8% 26% 35% 23% 8% 1% -
63 DU Chloe - 3% 16% 33% 32% 14% 2%
64 HAN Sydney 6% 27% 39% 22% 5% -
65 FENG Esther - 1% 10% 28% 36% 21% 4%
66 MERRIMAN Rie - - - 1% 7% 32% 61%
67 LI Jasmine - 2% 13% 30% 34% 17% 3%
68 PEKKER Amina 1% 10% 32% 37% 17% 3% -
69 PETROFF Eva - - - 4% 19% 41% 35%
70 YOUN Emily - 1% 8% 24% 37% 25% 5%
71 KROPP Anne (Charlie) - - 1% 7% 28% 43% 22%
72 WANG Yvonne 3% 19% 38% 29% 10% 1%
73 HOWARD Katherine 1% 6% 25% 39% 24% 5%
74 TAM Connie - 1% 7% 26% 42% 24%
75 KLAUSZ Izabella - 1% 10% 32% 40% 16%
76 JU Jennifer - 6% 27% 40% 22% 3%
77 XU Aasta - 6% 28% 44% 20% 1%
78 CAI Melody - 4% 18% 33% 30% 12% 2%
79 SALOUS Sarah - 2% 12% 30% 35% 18% 2%
80 YOON Cora - 7% 27% 39% 22% 5% -
81 LIANG Carina 1% 9% 34% 43% 14%
81 SUN Nicole - 3% 15% 33% 33% 14% 2%
83 KANE Alexa - 6% 29% 41% 21% 3%
84 WU Evelyn 1% 10% 27% 35% 21% 5% -
85 TAKAWIRA ANESU 5% 22% 36% 26% 9% 1% -
86 SHEIKH PAREE - 1% 8% 29% 40% 20% 2%
86 YIN Angelina - 4% 18% 33% 30% 12% 2%
88 CHEN Stephanie - 5% 21% 36% 27% 9% 1%
89 PAN Zoe 2% 17% 43% 30% 7% -
90 BURT Emmalyne Grace 1% 9% 26% 37% 23% 5%
91 XIAO Ashley 17% 38% 31% 12% 2% -
92 SUN Milly 3% 25% 43% 25% 4%
93 GIERAT-KATZ Izabella - 1% 9% 28% 41% 21%
94 KIM Charlotte 1% 7% 29% 40% 20% 4% -
95 SHI Elle - 2% 14% 32% 34% 16% 2%
96 HUFF Elizabeth 1% 8% 32% 38% 17% 3% -
97 LEE Zoe 10% 32% 36% 18% 4% - -
98 ZHAO Ellie - 5% 20% 35% 28% 10% 1%
99 MOKRETSOV Leah - 2% 10% 28% 37% 20% 3%
99 LU Chloe 3% 18% 39% 30% 9% 1% -
101 BOROTKO Katerina - - 1% 8% 29% 42% 20%
102 DAI Sophie 2% 14% 33% 33% 15% 3% -
103 BOUTSIKARIS Asha 2% 14% 32% 33% 15% 3% -
104 PEKKER Adel 1% 7% 25% 37% 23% 6% 1%
105 REN Harper 6% 24% 36% 25% 8% 1% -
106 GUSAK Aurora - - 1% 6% 27% 44% 23%
107 MIAO Anthea 1% 7% 23% 36% 25% 8% 1%
108 YANG Hannah - - 2% 10% 31% 40% 17%
109 DU Chelsea 14% 34% 32% 16% 4% - -
110 LEE Kaitlyn - 1% 6% 22% 39% 28% 4%
111 STEPHAN Antje Elisa 45% 41% 13% 1% - -
112 YUSHCHENKO Ivanka 13% 33% 33% 16% 4% - -
113 LI Xier 1% 8% 29% 42% 18% 2%
114 LAI Juliet 12% 36% 35% 14% 2% -
115 KWON Claire - 4% 25% 44% 24% 3%
116 VINLUAN Emma 16% 40% 32% 10% 2% -
117 TRIVULCE Scarlett 11% 34% 35% 16% 4% - -
118 XU Jessica - - < 1% 1% 10% 36% 52%
119 BROWN Marie - 5% 18% 34% 30% 11% 1%
120 FURMAN Elizabeth 4% 19% 33% 28% 12% 3% -
121 CHEN Madeline - 2% 11% 29% 35% 19% 4%
122 MIXON Ivory 1% 7% 23% 35% 25% 8% 1%
123 AHMAD Sophia 1% 10% 26% 34% 22% 6% 1%
124 YU Chloe - 2% 10% 28% 36% 20% 4%
125 MARYAHIN Sophie 29% 43% 22% 5% - -
126 KWON Allison 31% 42% 21% 5% 1% - -
127 YOUNG Penelope 2% 14% 31% 33% 17% 4% -
128 DEFENSOR Ella 4% 21% 36% 27% 10% 2% -
129 LIU Chloe - 5% 22% 39% 27% 7%
130 SILVA Hailey 2% 12% 30% 34% 18% 4% -
131 VILLER Alice - 4% 17% 34% 31% 12% 1%
132 LIAO irene - - 7% 26% 38% 24% 5%
133 EDGAR Koko - 2% 14% 32% 34% 16% 2%
135 HAN Emma - 4% 16% 33% 33% 12% 1%
136 CHALLAMEL Heloise 4% 19% 35% 29% 11% 2% -
137 DEJOY Leilah 2% 17% 38% 32% 10% 1% -
138 DIETIKER Claire 20% 44% 28% 7% 1% -
139 LIU Brinley 8% 27% 36% 22% 7% 1% -
140 SIU Mila 1% 9% 28% 35% 20% 5% -
141 EKSHTUT Leah - - 3% 17% 41% 34% 5%
142 MORET Teagan 20% 41% 28% 9% 1% - -
143 KAKANI Aditi - 1% 8% 27% 38% 22% 4%
143 CHEN freya 2% 14% 34% 33% 15% 3% -
145 YANG Nina 5% 23% 37% 25% 8% 1% -
146 ZENG Joy 22% 45% 26% 6% 1% - -
147 KIM Kate 3% 17% 34% 31% 13% 2% -
148 CHEN Allison 1% 10% 26% 34% 22% 7% 1%
148 ILYAS Daanya 10% 30% 35% 19% 5% - -
150 SHEN Isabella 15% 43% 32% 9% 1% - -
151 MARKS Madeline 2% 13% 31% 33% 17% 4% -
152 GOFMAN Anastasia 5% 20% 34% 27% 11% 2% -
152 HAGERMAN Siona 5% 21% 36% 27% 10% 2% -
154 WANG Kercedes Ye 16% 36% 32% 13% 3% - -
155 RAJ Indra 1% 10% 27% 35% 21% 5% -
155 XIE ANDREA 6% 34% 41% 17% 2%
155 LIU Emma 37% 45% 16% 2% - - -
155 CHEN Reina 11% 36% 35% 15% 3% - -
159 LI Elva 12% 47% 32% 8% 1% - -
160 ZHU YUNXI 3% 18% 35% 30% 12% 2% -
161 TAYLOR Poppy 37% 43% 17% 3% - -
162 BRAY Ava 9% 59% 27% 5% - - -
163 CHEN Emily 33% 41% 20% 5% 1% - -
164 XI Emily 3% 20% 39% 28% 9% 1%
165 LI Wan-Tao 30% 45% 21% 4% - -
166 CHAVEZ Beatrix 26% 49% 22% 3% - -
167 TISHKOVA-ROBERTS Daria 34% 43% 19% 4% - -
168 LI Katherine 22% 40% 28% 9% 1% - -
169 NEGRUT Sabina 10% 31% 35% 19% 5% - -
170 TISMENSKY Abigail - < 1% 1% 7% 25% 41% 26%
171 ZHENG Kristen 7% 25% 36% 24% 7% 1% -
172 KRAVCHENKO Tatyana 23% 46% 25% 5% - - -
173 YIN Melody 24% 41% 26% 8% 1% - -
175 HUANG Jui-An 21% 50% 24% 4% - -
175 ILYAS Lyla 24% 42% 25% 7% 1% - -
177 VARIPILLI Aanya 7% 33% 41% 16% 2% -
178 SHUKLA Annika 10% 31% 35% 18% 4% - -
179 XU Mulan 1% 7% 29% 38% 20% 4% -
179 TANG Jacquelyn 8% 30% 36% 20% 5% 1% -
181 CHEUNG SUN Jolene - 2% 13% 33% 37% 14%
182 HILL Jasmyn - 2% 16% 43% 38%
183 BARENSCOTT Julianna - 2% 12% 31% 37% 16% 2%
184 KIM Abigail 8% 35% 40% 16% 2% -
185 GUSAK Eva 2% 12% 29% 33% 19% 5% 1%
186 LUO Xinyue 37% 42% 18% 3% - - -
187 ZHANG Joy 27% 43% 23% 6% 1% - -
187 CHANG Hannah 12% 36% 35% 14% 3% -
189 LOO Samantha 61% 33% 6% - -
190 NIKOLLA Vivienne 9% 29% 36% 21% 6% 1% -
191 TAN Elliana 32% 45% 20% 3% - - -
192 PARKE Jaime 8% 27% 36% 22% 6% 1% -
193 SELASSIE Semara 28% 42% 23% 6% 1% - -
194 SRIKUMAR Nikita 39% 43% 15% 2% - - -
195 WU Yutong 13% 35% 34% 15% 3% -
196 CHO Josephine 11% 32% 35% 17% 4% - -
196 SALUBRO Vivianna 8% 28% 35% 21% 6% 1% -
198 YADAGIRI Aditi 38% 45% 15% 2% - -
199 ZHANG Avery 30% 44% 21% 4% - -
200 YANG Arianna 16% 37% 31% 12% 2% - -
201 HE Joyce 21% 43% 27% 8% 1% - -
202 WANG Jenny wang 53% 36% 9% 1% - - -
203 HUNT Isabel 9% 31% 36% 19% 5% 1% -
204 MRABET Maya 60% 34% 6% - - - -
205 LOUGH Abbie 83% 17% 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.