National Championships and July Challenge (Summer Nationals)

Junior Women's Épée

Saturday, June 28, 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 FALLON Kyle R. - - - - 4% 28% 68%
2 LEE REGINA - - - - 2% 23% 75%
3 PROFIS Liora - - 2% 16% 47% 35%
3 SPRINGER Sierra - - - 2% 22% 75%
5 SHIV Avni - - 1% 5% 20% 42% 32%
6 TOLSMA Chloe (CJ) - - - 1% 7% 33% 59%
7 NEELAM Navya - 3% 16% 37% 36% 9%
8 SMUK Alexandra S. - - 1% 5% 21% 43% 30%
9 BARG Daniella - - - 4% 18% 41% 36%
10 WANG Zoe - - - 3% 16% 42% 39%
12 DOROSHKEVICH Victoria - - 6% 33% 61%
13 SWENSON Nikita G. - - 3% 13% 31% 37% 16%
14 CASALE Maria Roberta Agata - 1% 4% 17% 33% 32% 13%
15 ILYAS Ayah 1% 6% 22% 38% 28% 6%
16 CHISHOLM Phoebe C. - - 1% 5% 22% 43% 30%
17 LEE Natasha - - - 3% 17% 43% 36%
18 KORFONTA Jolie - - - 1% 8% 34% 58%
19 ZHANG Victoria R. - - - - 3% 28% 69%
20 YAO Melinda - - - 4% 18% 41% 36%
21 WITTER Catherine A. - - - 1% 11% 39% 48%
22 CAFASSO Natalya - - - 1% 9% 37% 52%
23 WANG Ziqi (yoyo) - - - 3% 19% 43% 35%
24 WU Michelle - - 4% 17% 35% 32% 10%
25 PETROFF Eva 4% 20% 35% 28% 11% 2% -
26 LEE Gloria Y. 3% 15% 33% 32% 15% 3%
27 XIAO Nancy - 1% 5% 18% 36% 32% 9%
28 ADYANTHAYA Anika - 4% 16% 33% 32% 13% 2%
29 HANKINS Morgan - - 2% 13% 34% 39% 12%
30 BEAVER Ava - 1% 7% 23% 38% 27% 4%
31 BALAZS Luca 1% 7% 23% 34% 25% 9% 1%
32 LEE Camilla 1% 7% 23% 35% 25% 8% 1%
33 BASRALIAN Azniv - 1% 5% 19% 36% 31% 9%
34 WAT Chok Weng - - - 3% 17% 44% 36%
35 YANG Alisa - - - 1% 6% 31% 63%
36 AZMEH nour - - 1% 9% 28% 41% 21%
37 MARTINEZ Christina 1% 6% 21% 36% 27% 8% 1%
38 YOUNG VIVIAN - - 4% 16% 34% 34% 13%
39 BECKMAN Ana - - - 4% 19% 43% 34%
40 FRANGER Macy - - 2% 11% 31% 41% 15%
41 FURMAN Maria - - 3% 15% 36% 35% 11%
42 STERR Isabella M. - - 4% 17% 38% 34% 8%
43 LEE Scarlett - - - 1% 8% 36% 56%
44 KANG Yenna 2% 15% 32% 33% 15% 3% -
45 RUNIONS Emersyn - - 2% 12% 34% 39% 14%
46 ELSTON Sophia - 2% 9% 25% 35% 23% 6%
47 HABEK Sophia 1% 5% 20% 36% 29% 9%
48 MUELLER Emma M. - 1% 7% 30% 43% 19%
49 ZIGALO Elizabeth - - - 3% 26% 71%
50 XU Serena - 1% 7% 26% 39% 23% 5%
51 YILMAZ Pinar - - - 4% 19% 42% 34%
51 ZANGA Kaitlyn - - 1% 8% 27% 42% 23%
53 NGUYEN Tallulah - - - 4% 22% 50% 25%
54 KAUR Manroop 1% 5% 20% 34% 28% 11% 2%
55 NEMETH Katherine - 1% 8% 31% 42% 19%
56 XIONG Angelica - - 2% 11% 29% 38% 19%
57 MEHROTRA Anya - - - 1% 10% 43% 45%
58 BURT Emmalyne Grace 22% 40% 28% 9% 2% - -
59 MALLAVARPU saanvi - 2% 10% 27% 36% 21% 3%
60 WANG Cecilia 2% 20% 38% 29% 10% 1% -
61 PATIL Amulya - 2% 13% 33% 37% 15% 1%
62 LI Fei - 1% 10% 35% 40% 14%
63 PADHYE Tanishka - - 2% 14% 42% 42%
64 ZHANG Caroline 1% 9% 25% 35% 23% 6%
65 CHI Chelsea - - 1% 6% 23% 42% 29%
66 DHAIYA Tanya 1% 6% 23% 37% 26% 8% 1%
67 GAJJALA Sharika R. - - - - 3% 24% 72%
68 SOBUS Yanka - - 3% 17% 37% 33% 10%
69 CAMPBELL Eva - - 1% 7% 24% 41% 27%
70 POTAPENKO Margarita D. - - 2% 13% 35% 38% 12%
71 KIM Zoe L. - - - 2% 14% 40% 44%
72 HAFEEZ Hiba - 1% 9% 26% 38% 23% 3%
73 LISCUM Vivian - 1% 5% 20% 38% 30% 6%
74 BEZUGLAYA Varvara - - - 1% 10% 38% 50%
75 MA Sophie 1% 8% 27% 38% 22% 4% -
76 WU Jessica - 3% 15% 33% 33% 14% 2%
76 SKILLMAN Natalie 1% 9% 26% 36% 23% 6% -
78 XU Yvette - - 2% 13% 33% 38% 14%
79 HAFEEZ Hania - - 3% 19% 48% 30%
80 SMOTRITSKY Mia - - 3% 16% 41% 39%
81 SONG Angela - 1% 11% 33% 41% 14%
82 FERREIRA DE MELO Adriana - - 5% 23% 44% 27%
83 YU Nicole J. - 1% 6% 23% 42% 28%
84 NOVOJILOV Anastasia 2% 16% 43% 34% 6%
85 KUMAR Eva - 1% 10% 33% 40% 16%
86 CHERNIS Liah 2% 15% 35% 34% 12% 1%
87 WONG Caitlin 2% 16% 42% 34% 6%
88 GEVA Eliana - 1% 9% 27% 38% 21% 4%
89 NING Miranda - 2% 17% 37% 32% 11% 1%
90 VOSKOV Olivia 4% 21% 36% 27% 9% 1% -
90 XU Sunia (Tai Yang) - 3% 16% 35% 33% 12% 1%
92 PRESMAN Aerin - 1% 6% 22% 36% 28% 7%
92 YANG Hanting(Catherine) - 1% 9% 27% 38% 21% 3%
92 WALTER Anna 3% 16% 34% 31% 14% 3% -
95 CARRIER Meredith - - 2% 12% 33% 38% 14%
96 GUAN Isabella 1% 7% 22% 34% 26% 9% 1%
97 TANG Elaine 5% 21% 35% 28% 10% 2% -
98 KOZLOWSKI Maya M. - - 1% 5% 23% 43% 29%
99 PRIHODKO Nina - 1% 6% 23% 39% 26% 5%
99 CHUNG Penelope - 2% 14% 37% 34% 12% 1%
101 WATTANAKIT Anda - - 3% 14% 35% 37% 10%
102 ZHU Serene M. - 1% 8% 23% 36% 25% 7%
103 XU Jessica - 6% 25% 39% 24% 5% -
104 NGUYEN Ella 5% 23% 38% 27% 7% 1%
105 SCHMITT Harper - 3% 21% 43% 29% 3%
106 PHUKAN Indra - 3% 17% 41% 35% 4%
107 COLELLA Lauren 22% 39% 28% 10% 2% -
108 AI Amy - 3% 15% 34% 35% 12%
109 LEE Olivia - 5% 19% 35% 30% 10%
110 SUN Zeyu (Cathy) - 2% 11% 28% 35% 20% 4%
111 KUDRYAVTSEVA Margarita - 3% 17% 35% 31% 12% 1%
112 MARTYNOVA Diana - 4% 17% 34% 32% 12% 1%
113 SU Evelyn - 3% 14% 31% 34% 16% 2%
114 LEWIS Rachel 3% 15% 32% 32% 15% 3% -
115 YOU Isabel B. 2% 11% 30% 35% 18% 4% -
116 ANEZIOKORO Zahra 9% 29% 36% 20% 6% 1% -
117 BALAKRISHNAN Trisha - - 5% 24% 40% 26% 4%
118 LEE Yeriel 6% 25% 36% 24% 8% 1% -
119 LI Yixin Catherine 8% 29% 37% 21% 5% - -
120 ZHAO Alina - 4% 17% 34% 31% 12% 1%
121 FOMINA Polina 5% 25% 40% 24% 6% 1% -
122 MAI Mailan 3% 16% 34% 33% 13% 2%
123 SUICO Kyubi Emmanuelle 3% 23% 44% 24% 5% -
124 MENDOZA zoie 1% 11% 29% 34% 19% 5% -
125 DEPOMMIER-GONZALEZ Isabelle - 3% 15% 33% 33% 14% 2%
126 TALANDZEVICIUS Sophia 3% 17% 34% 30% 13% 2% -
127 SHU Youshan - 2% 13% 30% 34% 17% 3%
128 GIERAT-KATZ Izabella 2% 15% 32% 32% 15% 3% -
129 SHAYAKHMETOVA Suzanna 1% 9% 26% 36% 23% 5% -
130 GUO Luxi - - - 2% 12% 41% 45%
131 QI Julieanne - 2% 13% 30% 34% 17% 3%
132 HUANG Lanlan - 4% 18% 34% 30% 11% 1%
132 MENG YIFAN 1% 9% 27% 35% 22% 6% -
134 FISCHBEIN Quinley 7% 32% 39% 19% 3% < 1% -
135 SYKES Elynor - 3% 21% 44% 29% 3%
136 LI Caroline 2% 13% 36% 37% 12%
137 BRAGG Leah 9% 29% 36% 20% 5% -
138 MURPHY Katherine 2% 16% 39% 33% 9% -
139 LEE Kaitlyn 47% 39% 12% 2% < 1% -
140 LEE Claire - - 5% 21% 41% 29% 3%
141 PECK Maia A. - - 2% 9% 29% 40% 20%
142 BRIDGE Rebekah - 2% 11% 29% 37% 18% 3%
143 AIRES Julia 1% 13% 38% 34% 12% 2% -
144 WEI Sherry 2% 13% 31% 33% 17% 4% -
145 ZAYKO Aveline 2% 15% 32% 31% 15% 3% -
146 LAI Amanda - - 6% 25% 39% 25% 5%
147 ENRILE Erica 1% 7% 23% 36% 25% 7% 1%
148 BUSH emma - - 2% 13% 35% 42% 8%
149 MISHIMA Audrey 1% 8% 27% 38% 22% 4% -
150 SALISTRA Emilia - 4% 17% 34% 31% 12% 2%
151 DAVIS Jennifer 1% 7% 29% 38% 20% 5% -
152 JIN Zhengtian - 4% 19% 35% 30% 10% 1%
153 SEREGIN Katya - - 1% 9% 29% 41% 19%
154 WANG Victoria - 4% 18% 34% 30% 12% 2%
155 WANG Sophie Y. - 3% 15% 33% 32% 14% 2%
156 DALEY Keira 1% 7% 23% 35% 25% 9% 1%
157 SUN Hanya - 4% 17% 33% 31% 13% 2%
158 ZHUANG Lauren 4% 23% 40% 27% 7% 1%
159 GOH Cayla - 3% 17% 39% 32% 8%
160 WANG Jessie - 6% 24% 43% 27%
161 LIN Laura 20% 39% 29% 10% 1% -
162 SCHOR Elisabeth 2% 15% 41% 33% 9% -
163 FLITMAN Gabrielle 2% 13% 34% 36% 14% 2% -
164 BEATIE Isabella M. 2% 12% 30% 34% 18% 4% -
165 CAMAMA Tessa - 2% 12% 31% 35% 17% 3%
166 GAN Shelby 5% 21% 36% 27% 9% 1% -
167 BUCA Nora 6% 36% 38% 17% 3% - -
168 XU Celina 1% 9% 26% 34% 22% 6% 1%
169 GANSER Nicole 1% 7% 25% 37% 23% 6% 1%
170 MYRAH Vivienne - 6% 26% 38% 23% 6% 1%
171 RICHARDSON Meredith - - 3% 17% 38% 33% 9%
171 BEAVER Hannah - 3% 17% 34% 31% 13% 2%
171 KUKVA Taisiya - 3% 15% 32% 34% 15% 1%
174 LOBANOVA Varvara 1% 8% 27% 37% 22% 5% -
175 WANG Chloe 1% 8% 24% 35% 24% 7% 1%
176 PILSON Rebecca 2% 13% 31% 33% 17% 4% -
177 HULL Ilsa 14% 36% 33% 14% 3% - -
178 COLINA UZCÁTEGUI gabriela 1% 11% 30% 35% 18% 4% -
179 MARTIN Adriana 15% 37% 33% 13% 3% - -
180 BROWN Riley 1% 7% 24% 36% 25% 7% 1%
181 TISMENSKY Avital 6% 34% 40% 17% 3% - -
182 ZOU You yang (Yoyo) 3% 18% 35% 30% 12% 2% -
182 LIN Isabel 7% 27% 37% 22% 6% 1% -
184 MERRIMAN Rie 1% 5% 20% 34% 29% 11% 1%
185 TANG Ellen 13% 35% 34% 15% 3% - -
186 STERN Savannah 1% 11% 32% 35% 17% 3% -
187 HOLDEN Helena 1% 6% 22% 36% 26% 8% 1%
188 LIANG Carina 5% 21% 36% 27% 9% 1% -
189 GORNOVSKY Abigail - - 2% 14% 35% 36% 12%
189 WANG Lihong 18% 39% 30% 11% 2% - -
191 HE Anna 1% 10% 28% 35% 20% 5% -
192 CHUANG Ramona 10% 33% 35% 17% 4% - -
193 SMOTRITSKY Liat 2% 16% 36% 32% 12% 2% -
194 HASIM Eurietta 14% 36% 33% 14% 3% - -
195 CHAN Macie 39% 42% 16% 3% -
196 ZHAN Clare 33% 46% 18% 2% -
197 BARTOSZUK Camilla 6% 27% 40% 23% 4% -
198 CUEVA Viola 11% 35% 36% 16% 3% -
198 RADOV Una 51% 40% 9% 1% - -
200 LIU Elinda 8% 28% 36% 22% 6% 1%
200 DESANTIS-IBANEZ Elena 9% 31% 36% 19% 4% -
200 CHEN Alina 7% 30% 40% 19% 4% -
203 BLAKEY Heaven 15% 45% 32% 8% 1% -
204 MCQUEEN Morgan 8% 31% 39% 19% 3% -
205 YUMIACO Nylah 21% 43% 28% 7% 1% -
206 KENT Laurel 7% 30% 39% 20% 3%
207 BURICEA Ada 2% 12% 30% 34% 18% 4% -
208 ZHEREBCHEVSKA Veronika - 2% 12% 30% 35% 18% 3%
209 DASILVA Mia 3% 16% 32% 31% 15% 3% -
210 CHI Zoe 1% 11% 31% 35% 18% 4% -
211 BISONO Valentina 4% 20% 35% 29% 10% 1% -
212 MIINEA Elena - 3% 13% 31% 34% 16% 3%
213 LI Alice 3% 16% 33% 31% 14% 3% -
214 KROPP Anne (Charlie) 3% 16% 33% 32% 14% 3% -
215 KOVALCHUK Erika S. 6% 24% 36% 25% 8% 1% -
215 JORGENSEN Kjirsten 21% 40% 28% 9% 1% - -
217 FANG Kayla 1% 12% 32% 35% 17% 3% -
218 YOU Emily - - 1% 10% 33% 41% 15%
219 JOHNSON Shelby 3% 15% 31% 32% 16% 3% -
220 JAQUISH Zoey 25% 47% 23% 5% - - -
221 RICHARDS Axelle 23% 41% 27% 8% 1% - -
222 PHELAN Gabrielle 8% 36% 37% 16% 3% - -
222 WANG Ziqiao (Claire) 2% 14% 32% 34% 16% 3% -
224 MADANNAVAR Trisha 47% 38% 12% 2% - - -
225 SCHULTZ Nomi 6% 26% 36% 23% 7% 1% -
226 SHERMAN Olivia 18% 38% 30% 12% 2% - -
227 YUNG Bethany 7% 26% 36% 23% 7% 1% -
228 CHENG Wanrong 17% 38% 31% 12% 2% - -
229 ROCKWOOD Madelyn 16% 37% 32% 13% 3% - -
230 LEREE Fernanda 11% 31% 34% 18% 5% 1% -
231 KALGAONKAR Arohi 7% 27% 36% 23% 6% 1%
232 LI Suri 5% 24% 40% 25% 5% -
233 LIANG Jingjing 1% 11% 34% 39% 14% 1%
234 FENG Ge (Catherine) - < 1% 1% 10% 38% 51%
235 JEYOON Lauren 26% 47% 23% 4% -
236 SHEFFIELD Skye 3% 20% 38% 29% 9% 1%
237 JEONG HyeYoon 4% 20% 36% 29% 10% 1%
238 MENG Fina 26% 45% 24% 5% - -
239 DONGES Anna 3% 21% 39% 29% 8% 1%
240 VIOLETTE Lih-Ann 48% 41% 10% 1% - -
240 HAUSHEER Kuncen 7% 26% 37% 24% 7% 1%
242 GAVASHELI Margarita 27% 42% 24% 6% 1% -
243 SHEIKH PAREE 27% 45% 23% 5% - -
244 KOHLI Tanvi 28% 43% 23% 5% - -
245 WANG Haoning 5% 28% 42% 21% 4% - -
246 NORRIS Morgan 17% 38% 31% 12% 2% - -
247 NELSON Grace E. 1% 9% 25% 34% 23% 7% 1%
248 CHATIKHINE Anastasia 3% 17% 35% 30% 12% 2% -
249 CHAKRAPANI Tara 57% 35% 7% 1% - - -
250 KROTZ Gemma 18% 38% 30% 12% 2% - -
251 CHEN Alicia 7% 26% 36% 23% 7% 1% -
252 KANASKAR Ila 1% 7% 24% 37% 25% 7% 1%
253 QIAN Irene 5% 23% 36% 26% 9% 1% -
253 FREEMAN Kit 8% 32% 37% 19% 4% - -
255 BI Michelle 5% 30% 39% 21% 5% - -
256 LONADIER Keira - < 1% 4% 20% 41% 29% 6%
257 LANE Leah 1% 9% 26% 35% 23% 6% -
258 MEYER Rebecca 24% 40% 26% 8% 1% - -
258 LAW Mila 18% 41% 30% 10% 1% - -
260 TISMENSKY Abigail 1% 14% 36% 34% 13% 2% -
261 ZHAO Yanning 40% 42% 16% 2% - - -
262 YUEN Elsie 32% 42% 20% 5% 1% - -
263 COMBS Hannah 53% 37% 9% 1% - - -
263 LINARES Chantal 13% 34% 34% 16% 3% - -
265 ZUCKER Emily A. 8% 29% 37% 20% 5% 1% -
265 GAGARING Genia 10% 32% 36% 18% 4% - -
267 IYER Ishana - 3% 13% 30% 34% 17% 3%
268 CHIOU-WILLIAMS Matea 21% 40% 28% 9% 1% - -
268 CHEN Ava 21% 39% 28% 10% 1% - -
270 YU Eva 7% 27% 37% 22% 6% 1% -
271 DEPAUW Adeline 11% 34% 35% 16% 3% - -
271 RAFFERTY Catherine 13% 36% 33% 14% 3% - -
273 GEFFNER Olivia 19% 39% 30% 10% 2% - -
274 FENG Iris 12% 33% 34% 17% 4% - -
275 SHELIN Chelsea - 4% 17% 34% 32% 12% 1%
276 CAI Melody 37% 45% 15% 2% - - -
277 GUSKA Jenn 26% 43% 25% 6% 1% - -
278 LEVKOV Maita 10% 46% 34% 9% 1% - -
279 HERD Angela 14% 36% 33% 14% 3% - -
280 MEYER Rachel 9% 30% 36% 20% 5% 1% -
281 JUNG Sangeun 7% 27% 36% 23% 7% 1%
282 MARZOUK Hafsa 19% 49% 27% 5% - -
284 WANG Chantal 23% 43% 27% 6% 1% -
285 GOLIYAD Lisa 10% 31% 36% 19% 5% 1% -
286 HOAGLAND Sally 5% 26% 41% 24% 5%
287 KAUSHISH Sara 1% 9% 26% 35% 23% 7% 1%
288 PYE Emily 7% 26% 37% 23% 6% 1% -
289 RITTERBUSCH Abigail 19% 38% 30% 12% 2% - -
289 MASEKA Kseniia 24% 41% 26% 8% 1% - -
291 MOHEBI Neeka 14% 37% 33% 13% 3% - -
292 CHEONG Chloe 5% 22% 36% 27% 9% 1% -
293 VARAN Kateryna 16% 38% 32% 11% 2% - -
293 LIN Cynthia 22% 41% 28% 8% 1% - -
293 SINGH Ipshita 16% 37% 32% 13% 2% - -
296 STOY Sophia 27% 41% 24% 7% 1% - -
296 TISDALE Zaria 68% 29% 3% - - - -
298 GRAZIANO Ruby Mae 47% 40% 12% 1% - - -
299 MEMON Insha 19% 39% 29% 10% 2% - -
300 KUTSY Olga 8% 29% 37% 20% 5% 1% -
301 SUNMAN Rory 60% 33% 7% 1% - - -
302 EL BISSATI Salma 70% 27% 3% - - - -
303 SHIN Jamie 63% 31% 6% 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.