National Championships and July Challenge (Summer Nationals)

Junior Women's Foil

Monday, June 30, 2025 at 8:00 AM

Baird Center - Milwaukee, WI, 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 LUNG Katerina - - - - 1% 18% 80%
2 WANG YIRAN - - - 9% 40% 51%
3 EYER Hailey M. - - - - 1% 18% 81%
3 CHO Rebecca H. - - - 1% 18% 80%
5 LIU Joy Zhaoyi - - - - 4% 28% 67%
6 PEVZNER Victoria - - - - 1% 12% 88%
7 SENIC Adeline - - - - 6% 36% 57%
8 CHEN Chloe I. - - 2% 16% 51% 31%
9 TAVOLA Alessandra - - - 1% 11% 49% 39%
10 GOOR Viviene E. - - - - 5% 31% 64%
11 CHUSID Mikayla - - - - 2% 23% 74%
12 WOJTAS Hanna - - 1% 6% 26% 46% 21%
13 CHEN Jia P. - - - - 4% 27% 68%
14 YANG Iris - - - 5% 23% 43% 28%
15 KIM Rachel - 1% 6% 25% 39% 24% 4%
16 PEVZNER Nicole - 2% 17% 44% 32% 5% -
17 DENG Melissa - - 1% 9% 29% 41% 19%
18 LIN Zhi Tong - - - - 6% 37% 56%
18 CHO Emily (Euran) - - - 4% 19% 42% 34%
20 CHEN Allison V. - - - 1% 7% 34% 59%
21 YANG Audrey - - 4% 20% 43% 33%
22 LEE Lavender - - - - 5% 32% 62%
23 GEBALA Gabrielle Grace A. - - - - 4% 27% 69%
24 DOROSHKEVICH Taisiia - - - 4% 22% 53% 20%
25 SHEN Emilia - - - 4% 20% 44% 31%
26 ZHANG Alina C. - - - 2% 14% 44% 41%
27 LEE Jiahn (Lana) - - 1% 7% 27% 46% 20%
28 DAVIS Bonnie Z. - - - 4% 20% 46% 31%
29 FENG Grace - - 2% 14% 36% 36% 11%
30 JOO Natalie - - 4% 18% 41% 35% 2%
31 CHUN Adelle Ha-Eune - 2% 16% 43% 34% 5% -
32 KIM Claire 5% 27% 43% 22% 3% -
33 CHEN Renee - - - 2% 15% 42% 41%
34 ZHANG Soleil C. - - 3% 17% 41% 33% 5%
35 MCSHERRY Ava - - 6% 24% 41% 26% 3%
36 ORVANANOS Anice - - - 2% 13% 40% 46%
37 FEDELI Caterina S. - - - - 7% 50% 42%
38 POEI Lauren - 2% 12% 32% 36% 16% 2%
39 WANG Amabel - 4% 20% 40% 28% 8% 1%
39 LUO Ziyue - - - - 2% 20% 78%
41 AL-BATTAINEH Eva 3% 18% 36% 30% 11% 2% -
42 LIU Enjia Sherry liu - 4% 19% 37% 30% 10% 1%
43 LUO Sandra J. - - 2% 11% 34% 40% 13%
44 OH Ceana - - 4% 20% 39% 31% 6%
45 SUN Ruoxi - - - - 6% 38% 55%
45 MEI Sarah - - 2% 14% 35% 36% 12%
47 SUN Emily - - 3% 16% 37% 35% 9%
48 XIA Sophia (Youyang) - - - 6% 39% 55%
49 FUNG Vera - - 7% 35% 44% 13%
50 CHEW Alexis T. - 1% 10% 35% 40% 14%
51 YAO Ada - 3% 20% 39% 30% 8%
52 WANG YiXi - 1% 6% 29% 44% 21%
53 JANG Kimberley - - - 1% 8% 35% 56%
53 YANG Emma - - - 3% 16% 43% 38%
55 ZOU Ella - 1% 7% 29% 42% 20% 1%
56 TSIMIKLIS Aphrodite - 5% 22% 38% 26% 6% -
57 JOHNSON Shelby 5% 23% 38% 26% 7% 1%
58 REN Kayley - - 4% 23% 43% 25% 3%
59 XINYAO Zhou - - 2% 11% 33% 42% 12%
60 HU Jenna - 6% 27% 39% 22% 4% -
61 KIM Sydney - 1% 11% 35% 38% 14% 1%
62 LI Han (Helina) - 3% 17% 38% 33% 8% 1%
63 PAULUS Isabella 1% 6% 22% 36% 26% 8% 1%
64 HSU Kaylin - < 1% 5% 23% 41% 28% 3%
65 SUN Chloe - - 1% 16% 57% 26%
66 SONG Yuqiao Aprille - - - 2% 14% 42% 42%
67 HO Addison - - 6% 25% 42% 24% 3%
68 WANG Joanna - - 5% 23% 39% 27% 6%
69 NISSINOFF Alexandra - - - 1% 11% 39% 49%
70 LI Eleanor - - 5% 20% 39% 30% 6%
71 LI Katerina - 2% 20% 42% 29% 7% -
72 DUAN Sophie - 4% 22% 40% 27% 7% 1%
73 WANG SIQI - 1% 8% 27% 40% 22% 4%
74 YURKOVA Mariia - 1% 10% 32% 39% 17% 2%
75 ZHAO Sophie L. - - 5% 22% 43% 30%
76 MI Aileen - - 1% 11% 46% 42%
77 WANDJI Anais - - 1% 6% 28% 48% 17%
78 SWANSON Alexa - 3% 17% 37% 32% 10% 1%
79 GU Maggie Runlin - 1% 9% 30% 41% 18%
80 SHENG Katherine - 2% 15% 36% 34% 12% 1%
81 HOBSON Ava - 2% 14% 33% 35% 15% 2%
81 LEVESQUE Brielle 2% 15% 40% 34% 9% -
81 ROZPEDOWSKI Claire - - 4% 19% 38% 30% 8%
81 VILLARAMA Kara 32% 43% 20% 4% - -
81 WU Nicole Moxuan 1% 11% 37% 36% 14% 2% -
86 BAE Yooju - - 2% 15% 39% 37% 7%
88 STRUGAR Steliana - 1% 12% 35% 37% 14% 1%
89 BASILE Gianna 3% 41% 39% 14% 2% - -
89 ZHANG Ivy - 1% 10% 32% 39% 16% 1%
91 RANDOLPH Piper - 1% 7% 26% 43% 24%
92 HUANG Yuwen - 7% 30% 46% 15% 1%
93 MU Allison - 1% 8% 34% 49% 8%
94 CHOW Annabelle - 1% 7% 30% 43% 19%
95 LIU Angel(Daying) - 4% 22% 40% 27% 6%
96 WANG CAROL - 2% 11% 32% 40% 15%
97 LI Sophia M. - 1% 15% 44% 34% 6%
98 MARKOVSKY Nina - 1% 8% 29% 40% 21% 2%
98 LIU Ariana - 5% 23% 41% 25% 5% -
100 SEO IRENE Y. - - 1% 6% 25% 45% 24%
101 SHMAY Anastasia - 2% 14% 39% 34% 10% -
101 WANG Jasmine - 1% 10% 33% 40% 15% 1%
103 MANIKTALA Prisha - 3% 19% 43% 33% 3%
104 SHEN Lydia - - 1% 5% 23% 43% 29%
105 KOO JIHYO - - - 1% 10% 37% 52%
106 LAI Sophia - - 1% 6% 25% 43% 25%
107 VO Bao-Vy - 3% 16% 37% 34% 9% 1%
107 YAO Abby 1% 13% 36% 36% 13% 1% -
109 LIU Samantha - 2% 11% 30% 37% 19% 3%
110 KOSTELNY Alexis - 2% 10% 30% 38% 18% 2%
111 ZHENG Julie - - 2% 14% 40% 37% 7%
111 WILLIAMSON Tessa 9% 31% 36% 19% 4% - -
113 THERON Zoe 1% 6% 24% 39% 24% 5% -
114 YU Jane - 1% 12% 36% 37% 13% 1%
115 WHELAN Amelia - 14% 39% 34% 12% 2% -
116 CASTANEDA Keira - 2% 12% 32% 36% 16% 2%
117 PARK Lina - 6% 27% 40% 23% 5%
118 CAO Kayla 15% 42% 33% 9% 1% -
118 LI Joy 5% 29% 44% 19% 2% -
120 WEI Angela 1% 15% 45% 33% 6% -
121 CHERNYKH Elina 21% 41% 28% 8% 1% -
122 KAPRAN Anastasia 1% 8% 32% 43% 16% 1%
123 ROY Layla 1% 11% 39% 41% 8% -
124 HAN Mia 16% 45% 32% 7% - -
125 PAULUS Sloane E. - 1% 9% 30% 40% 18% 2%
126 BABIAC Julia - - 4% 17% 37% 34% 8%
127 HOROWITZ Shuli 2% 17% 42% 30% 8% 1% -
128 MARTIRE Alessandra 14% 39% 33% 11% 2% - -
129 KUS Natasza - - - 3% 27% 70%
130 ZHANG Eunice - - 3% 19% 43% 32% 3%
131 HOVAGHIMIAN Fira 1% 12% 35% 36% 14% 2% -
132 GUAN Adeline - 6% 29% 43% 20% 1%
133 SHENG Chuxi - - 3% 17% 39% 33% 8%
134 LEE Fiona E. 1% 13% 35% 34% 14% 2% -
135 BALIN Julia 49% 40% 10% 1% < 1% - -
136 BEAVER Hannah - 5% 25% 40% 24% 6% -
137 TRACZ Calleigh D. - 8% 29% 37% 21% 5% -
137 URDANETA LARGURA Sylvia 4% 23% 44% 24% 5% - -
139 BLAKEY Heaven 3% 26% 42% 23% 5% - -
140 BROWN Lola - 1% 12% 36% 37% 13% 1%
141 XIE Lillian - - 3% 18% 42% 33% 3%
142 AADHI Hansika 3% 18% 37% 31% 10% 1%
143 PENG Charlotte 5% 28% 43% 20% 4% -
144 DIMATULAC Elise Ann - 3% 19% 37% 30% 10% 1%
145 SHIM Grace J. - - 4% 20% 40% 29% 6%
146 HARRIS Julia - - 7% 28% 43% 21% 1%
147 KO Claire - 6% 28% 39% 22% 5% -
148 COOPER Piper W. - - 4% 21% 43% 29% 2%
149 HUGHES Liv - 36% 43% 18% 3% - -
150 ORRINGER Lottie - 10% 33% 38% 17% 2% -
151 OWENS Elise 3% 20% 37% 28% 10% 1% -
151 MCFARLANE Asha 1% 16% 38% 33% 11% 1% -
153 FENG Audrey - 2% 16% 36% 32% 12% 2%
154 SHA Yi Ling - 2% 15% 37% 34% 12% 1%
154 TANG Melody Fujiao - - 3% 18% 42% 34% 4%
156 BORGES Valeryn 1% 10% 33% 36% 17% 3% -
157 LUO Miranda - 3% 19% 39% 31% 7% -
158 FIELD Julianna - 1% 6% 21% 38% 28% 6%
159 HAN Gian 18% 41% 30% 9% 1% - -
160 BERGEL Daphne 1% 6% 21% 36% 27% 8% 1%
161 PARK Zena 3% 24% 40% 26% 7% 1% -
162 SAIFEE Lamya 1% 11% 31% 37% 18% 3%
162 HSIAO Ariya 19% 39% 30% 10% 1% - -
164 BERTOLINI Mia 14% 38% 34% 12% 2% - -
165 FUNG Emma - 1% 7% 25% 39% 24% 5%
166 LENK Sophie - 5% 28% 39% 22% 5% -
167 ORBE-AUSTIN Nia 4% 24% 43% 24% 5% - -
168 ZELDIN Nadia 2% 15% 35% 33% 13% 2%
169 HAFEZ Tahiyah 1% 18% 50% 26% 4% -
170 CHAN Ella 15% 56% 25% 3% - -
171 HAN Crystal 1% 9% 31% 38% 19% 3% -
172 ZHOU Chenchu - 3% 14% 33% 35% 14% 1%
173 LAZAR Carolina 34% 44% 19% 4% - - -
174 CANNON Lira J. - - 5% 23% 39% 26% 6%
174 QUINN Anna 9% 34% 37% 16% 3% - -
176 LI Alice 9% 33% 37% 18% 4% -
177 CHOI Jion 2% 21% 39% 28% 9% 1% -
178 PENG Serena 1% 15% 36% 33% 12% 2% -
179 JIANG Chloe 2% 11% 30% 36% 18% 3% -
180 HUANG Sophie 7% 29% 38% 21% 5% 1% -
181 BIODROWICZ Julia - 5% 27% 39% 23% 5% -
182 SHICK Veronika 5% 56% 31% 6% 1% - -
183 WYNN Kylie 1% 7% 25% 37% 24% 6% -
183 ZOLDAN Nolabelle 56% 39% 5% - - - -
185 SWOPE Farren 6% 27% 38% 23% 6% 1% -
186 FANG Kelervia 31% 43% 21% 5% - - -
187 DONG Emily 1% 13% 34% 35% 15% 3% -
188 YONG Rosalind 2% 17% 37% 31% 11% 2% -
189 WATSON Evelyn 8% 34% 40% 15% 2% - -
190 PUOPOLO Mia 7% 29% 37% 21% 5% 1% -
191 LAY Apollonia 25% 43% 25% 6% 1% - -
192 LIN Allison 37% 44% 16% 2% - - -
193 MORSE Katherine 21% 47% 26% 5% - - -
194 SULTER Aurelie 4% 29% 41% 22% 4% - -
194 CULLIVAN Sienna - 7% 37% 39% 15% 2% -
196 KIM Erin 7% 27% 37% 22% 6% 1% -
197 COLLINS Anna 26% 43% 24% 6% 1% - -
198 ZHOU Joi 12% 50% 32% 6% - - -
199 REZA Fukaina 3% 29% 42% 22% 4% - -
200 ZAMLYNNY Maya 16% 48% 29% 7% 1% -
201 CAMPBELL June 38% 44% 15% 2% - -
202 CHO Karis 45% 43% 11% 1% - -
203 HOOGSTRA Lucy 39% 44% 15% 2% - -
204 LAO Sophia 24% 51% 22% 3% - -
205 SAH Madeleine 55% 37% 7% 1% - -
206 DAI Iris Yuyang 3% 20% 43% 27% 6% 1% -
207 VIJAYAKUMAR Diya 1% 35% 43% 18% 3% - -
208 SHTEPA Rada - 4% 22% 42% 26% 5% -
209 GU Chen 14% 37% 33% 13% 3% - -
210 SONG Jenna 6% 29% 39% 21% 5% - -
210 HAN Katherine 1% 18% 46% 29% 6% - -
212 LENZ Zoe N. 6% 28% 39% 21% 5% 1% -
213 KIM Lauren 26% 43% 24% 6% 1% - -
214 STONE Sydney 14% 42% 34% 9% 1% - -
214 MUMMANENI Samyuta 1% 10% 30% 37% 18% 4% -
216 TAO Ann 5% 30% 42% 19% 4% - -
216 CHOI Jordan 42% 44% 13% 1% - - -
218 LI Christina 42% 44% 12% 1% - - -
219 DAI Zizhuo (Zizi) - 1% 6% 25% 42% 24% 2%
219 XIONG Isabel 28% 46% 21% 4% - - -
221 GREENLEAF Ella 39% 43% 16% 3% - - -
222 GOLLNICK Mira 4% 31% 42% 19% 4% - -
222 ALKADI Mai 23% 47% 24% 5% - - -
222 SALMI-BYDALEK Ada 62% 32% 5% - - - -
222 XIE Su 1% 7% 26% 38% 22% 5% -
226 KANG Marian 4% 27% 41% 22% 5% - -
227 TAYLOR Gabby - 10% 35% 37% 15% 2% -
228 SNYDERS Evelyn 37% 47% 14% 2% - - -
228 BROSNAN Lily 31% 49% 17% 2% - - -
230 JACOB Norah 13% 44% 33% 8% 1% - -
231 ZONG Melody 5% 23% 39% 25% 7% 1% -
232 SHUM Maya 6% 28% 39% 21% 5% - -
233 NIRGUDE Esha 41% 41% 15% 3% - - -
234 CHANG Janelle 54% 37% 8% 1% - - -
235 ZINITI-LAU Elena 27% 47% 22% 4% - -
236 SHUSTA Lily 40% 42% 16% 2% - - -
237 DESAI Esha 7% 29% 39% 20% 4% - -
238 LI Chelsea 43% 43% 13% 1% - -
239 LIU Kiki 18% 45% 30% 6% 1% -
240 LI Savannah 17% 40% 31% 11% 1% -
241 FIELD Elizabeth < 1% 4% 17% 36% 33% 10% -
242 TAYLOR-OSBORN Nadia 67% 30% 3% - - -
243 ADLER Zoe 33% 47% 18% 3% - -
244 BHANGOO Paloma 78% 20% 2% - - - -
245 KATS Ekaterina 38% 45% 15% 2% - - -
245 RASH Reagan 89% 11% - - - - -
245 FERRONE Gianna 68% 28% 4% - - - -
249 AKINBAMIRO Pelu 99% 1% - - - - -
250 SHIN Jaelynn 23% 48% 24% 4% - - -
250 PARANJAPE Ojasvi 89% 10% - - - - -
250 SHELTON Olivia 12% 43% 33% 10% 1% - -
250 CHENG Emma 93% 7% - - - - -
254 ETIKALA Saanvi 78% 20% 2% - - - -
254 HE Ashley 65% 30% 5% - - - -
256 WU Elynna 29% 47% 20% 3% - - -
256 LATIFI Fara 26% 56% 17% 2% - - -
258 WU Lorena 66% 30% 4% - - - -
259 VENZON Makena Jane 69% 27% 4% - - - -

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.