National Championships and July Challenge (Summer Nationals)

Junior Women's Épée

Sunday, June 30, 2024 at 8:00 AM

Greater Columbus Convention Center - Columbus, 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 YIN Julia - - - 1% 9% 37% 53%
2 HU Grace - - - 3% 24% 73%
3 KORFONTA Jolie - - - 1% 10% 39% 50%
3 QU ZHUOYING - 1% 5% 18% 34% 31% 11%
5 KUZNETSOV Victoria - - - 1% 8% 35% 56%
6 DING Jiahe (Heidi) - - - - 4% 29% 68%
7 KHAMIS Yasmine A. - - - - 3% 26% 71%
8 CHEN Lefu - - - 7% 36% 57%
9 LEE Sumin - - - - 4% 30% 66%
10 LEE Natasha - - 1% 9% 32% 46% 12%
11 CHIN Isabella - - - - 3% 24% 74%
12 YANG Alisa - - - 1% 10% 39% 49%
13 FERREIRA DE MELO Adriana - 2% 10% 28% 37% 20% 3%
14 CAFASSO Natalya - - 3% 16% 35% 34% 11%
15 AI Amy - - 2% 13% 36% 41% 8%
16 CHISHOLM Phoebe C. - - 1% 8% 29% 41% 20%
17 MEHROTRA Anya - - - 1% 6% 33% 61%
18 MAO Amy - - 4% 21% 46% 29%
19 LEE REGINA - - - 1% 7% 33% 59%
20 KOZLOWSKI Maya M. - 1% 7% 27% 43% 22%
21 GU Sarah - - - - 1% 15% 85%
22 JAKEL Sophia N. - - - - 1% 15% 84%
23 SMOTRITSKY Mia - - - 5% 22% 44% 29%
24 FALLON Kyle R. - - - - 3% 29% 67%
25 TOLSMA Chloe (CJ) - - - 2% 14% 43% 42%
26 GAJJALA Sharika R. - - - 5% 29% 66%
27 YU Nicole J. - - 5% 25% 46% 24%
28 RUNIONS Emersyn - 1% 9% 30% 41% 19%
29 WITTER Catherine A. - - 1% 7% 24% 41% 27%
30 SONG Angela - 1% 6% 21% 35% 28% 8%
31 LEE yat ching - - 4% 18% 35% 32% 11%
32 BASRALIAN Azniv - 4% 17% 34% 31% 12% 2%
33 ZIGALO Elizabeth - - - 1% 7% 36% 57%
34 DOROSHKEVICH Victoria - - - 2% 14% 43% 41%
35 LISCUM Vivian - 1% 8% 27% 40% 22% 2%
36 ELSTON Sophia - - 4% 17% 35% 33% 11%
37 MACHULSKY Leehi - - - - 2% 24% 74%
37 LEE Scarlett - - 2% 10% 30% 40% 18%
39 DESAI Meera P. - - 1% 8% 29% 42% 20%
39 KIM Jayna - 2% 12% 29% 35% 18% 3%
41 GORNOVSKY Abigail - - 4% 18% 37% 32% 7%
42 CAMPBELL Eva - 1% 8% 27% 39% 21% 3%
43 LI Fei - 1% 7% 20% 34% 28% 9%
44 CARRIER Meredith - 1% 7% 24% 37% 25% 6%
45 KUMAR Anusha - 5% 21% 38% 28% 7% -
46 CALDERA Lexi I. - - 1% 8% 32% 43% 16%
47 POHREBNA Yeva - - 3% 15% 38% 34% 10%
48 STERR Isabella M. 2% 16% 37% 33% 11% 1%
49 REID Anousheh - - 1% 9% 29% 43% 17%
50 YAO Melinda - - 1% 7% 29% 43% 21%
51 GUO Luxi - 1% 8% 27% 41% 21% 3%
52 CHI Chelsea - - 1% 8% 36% 46% 9%
53 KUDRYAVTSEVA Margarita - 5% 21% 37% 27% 7% 1%
53 ZANGA Kaitlyn - 1% 6% 23% 39% 26% 6%
55 PAN Yiming - 1% 6% 23% 39% 27% 5%
56 WANG Ziqi (yoyo) - 1% 6% 24% 44% 25%
57 HAFEEZ Hania - - 4% 19% 43% 34%
58 HUREL Bertille - 7% 28% 41% 21% 2%
59 HONG Elaine - - 4% 18% 38% 31% 8%
60 GEBALA Natalie Brooke A. - - - 3% 19% 44% 34%
60 YOU Emily - - 1% 9% 29% 41% 20%
62 BECKMAN Ana - - 5% 23% 45% 27%
63 PULLARA Ashley 2% 11% 29% 35% 19% 4% -
64 HAFEEZ Hiba - 1% 9% 28% 39% 21% 3%
65 LUO Ashley - - - - 3% 25% 72%
66 ZHANG Victoria R. - - - 1% 11% 37% 51%
67 BEZUGLAYA Varvara - - 2% 12% 31% 38% 17%
68 LEE Claire - - 3% 14% 35% 38% 10%
69 JOYAL Anne-Sophie - - 3% 16% 39% 36% 5%
70 TEMIRYAEV Anna M. - - - 4% 19% 43% 34%
70 MALLAVARPU saanvi - 2% 12% 28% 33% 20% 5%
72 LEE Olivia - - 1% 9% 34% 50% 6%
73 LEE Michelle J. - - - - 5% 33% 61%
74 HUANG Lanlan - 4% 20% 37% 28% 9% 1%
75 PINNAMANENI Drithi - 1% 6% 24% 41% 26% 3%
76 GUERRERO Victoria - 5% 22% 36% 27% 8% 1%
77 XU Serena 1% 6% 23% 38% 26% 6% -
77 SOBUS Yanka - 1% 8% 23% 34% 26% 7%
79 WANG Angelina - 3% 16% 35% 32% 12% 2%
80 PULLEN Ayah 1% 11% 29% 35% 19% 4% -
81 RANDLEMAN Teresa - - 3% 17% 41% 32% 8%
82 KHARCHYNA Polina - - 1% 11% 39% 49%
83 WANG Trinity 1% 9% 29% 38% 20% 3%
83 NEELAM Navya 1% 9% 31% 40% 18% 2%
85 JAKEL Alysa C. - 5% 24% 43% 24% 3%
86 SHEFFIELD Skye 3% 18% 38% 31% 10% 1%
87 MARTINEZ Christina 2% 25% 41% 25% 6% 1%
88 KIM Zoe L. - - - 2% 12% 39% 47%
89 LIN Ashley - 1% 8% 26% 37% 23% 5%
90 BARG Daniella - 1% 8% 23% 34% 26% 8%
90 GUJJA Misha - - 5% 20% 40% 30% 5%
92 AZMEH nour - 1% 7% 24% 36% 25% 6%
92 LI Judy 1% 6% 20% 32% 28% 12% 2%
94 JIN Zhengtian 1% 9% 27% 38% 22% 4% -
95 SMUK Alexandra S. - - 1% 8% 30% 47% 14%
96 SPRINGER Sierra - - - - 3% 26% 71%
97 PADHYE Tanishka - - - 2% 12% 39% 47%
98 LIN Elaine - - 1% 10% 32% 42% 15%
98 SUN Zeyu - 7% 26% 38% 23% 5% -
100 WANG Victoria 1% 8% 29% 38% 20% 4% -
101 PECK Maia A. - - 2% 12% 35% 40% 11%
102 SHU Youshan - 2% 12% 29% 35% 19% 3%
103 SCHMITT Harper 2% 13% 30% 33% 18% 4% -
104 DEPOMMIER Isabelle 1% 6% 21% 35% 28% 9% 1%
105 LIU Elinda 3% 20% 38% 29% 9% 1% -
106 CANNING Charlotte - 3% 17% 36% 32% 10% 1%
107 SWENSON Nikita G. - - 2% 12% 36% 40% 10%
108 PEELER Julia 1% 12% 31% 34% 17% 4% -
109 YOUNG VIVIAN - 4% 21% 39% 29% 7%
109 WANG Zoe - 1% 6% 25% 44% 25%
111 BUSH emma - 1% 8% 30% 45% 16%
112 QI Jarynne Valerie - 1% 6% 25% 43% 24%
113 VAN VACTER Madelynn 2% 15% 36% 33% 12% 1%
114 RICHARDSON Meredith - 6% 24% 36% 25% 8% 1%
115 BROWN Hannah - 5% 20% 37% 28% 8% 1%
116 LAI Amanda - 2% 12% 31% 37% 17% 1%
117 PEHLIVANI Zara - - 1% 8% 27% 42% 23%
118 PRESMAN Aerin - 2% 10% 25% 34% 23% 6%
119 GUAN Isabella 7% 27% 35% 22% 7% 1% -
120 YILMAZ Pinar - 1% 7% 25% 39% 24% 4%
121 KALGAONKAR Arohi 3% 17% 34% 31% 13% 2% -
122 LIU Nicole 1% 12% 33% 36% 15% 2%
123 ZHEREBCHEVSKA Veronika - 1% 11% 36% 41% 10%
124 SCHULTZ Nomi 1% 10% 27% 35% 21% 5% -
125 GANSER Nicole 3% 20% 38% 30% 9% 1% -
126 WONG Alexandra R. - 1% 10% 31% 40% 16% 1%
127 LIN Ariel - 7% 25% 38% 24% 5% -
128 LIANG Jingjing 1% 7% 28% 41% 22% 2%
129 NEMETH Katherine - - 2% 12% 38% 42% 6%
130 LAN Alice S. - - 1% 6% 23% 42% 28%
131 IYER Ishana - 4% 16% 34% 32% 13% 1%
132 SEBASTIAN Felicity A. - - - - 6% 33% 61%
133 SHIV Avni - - 1% 10% 33% 40% 15%
134 SEREGIN Katya - 4% 16% 32% 32% 14% 2%
135 FENG Ge - - 1% 8% 27% 41% 23%
136 SEMIKIN Julia - - 1% 6% 28% 52% 13%
137 FURMAN Maria - - 5% 23% 42% 26% 3%
138 XIONG Angelica - 4% 18% 38% 33% 7%
139 BURICEA Ada 2% 16% 35% 32% 13% 2% -
140 POTAPENKO Margarita D. - - 3% 15% 35% 35% 12%
141 CAPELLUA Mariasole - - 1% 7% 26% 42% 24%
142 KUMAR Eva - 3% 15% 36% 34% 11% 1%
143 MENDOZA zoie 10% 33% 35% 17% 4% 1% -
144 CHATIKHINE Anastasia 1% 10% 33% 36% 16% 3% -
145 ABUELFUTUH Sama 1% 7% 24% 37% 24% 6% -
146 LIU Baihan - 2% 10% 28% 37% 20% 2%
147 QI Julieanne - 2% 11% 30% 38% 18% 1%
148 ILYAS Ayah - 5% 19% 34% 30% 11% 1%
148 FANG Kayla 11% 32% 35% 18% 4% - -
150 YAO Yilin - - 4% 20% 47% 26% 3%
151 DALEY Keira 2% 13% 31% 33% 17% 4% -
152 AIRES Julia 1% 11% 30% 35% 18% 4% -
153 ANDERSON Claire 1% 8% 29% 42% 18% 2%
154 SENYUVA Su 2% 14% 40% 34% 10% 1%
155 MIINEA Elena 1% 15% 37% 34% 12% 2%
156 HAUSHEER Kuncen 10% 35% 37% 16% 3% -
157 YOU Isabel B. 13% 38% 35% 12% 2% -
158 HOAGLAND Sally 27% 44% 24% 5% - -
159 NGUYEN Tallulah - - 1% 10% 41% 48%
160 SHERMAN Olivia 43% 42% 13% 2% - -
161 MARTYNOVA Diana 2% 14% 35% 35% 13% 1%
162 GARIKIPATI Thansi 2% 13% 34% 35% 13% 2% -
163 MISHIMA Audrey 3% 17% 35% 30% 12% 2% -
164 CHIRASHNYA Mika 1% 9% 28% 36% 21% 5% -
165 ZHUANG Lauren 3% 18% 35% 30% 11% 1% -
166 MONOVA Lilyana 2% 11% 29% 34% 19% 5% -
167 BALAKRISHNAN Trisha - 5% 22% 37% 27% 8% 1%
168 MOLLINIER Angel 3% 17% 34% 31% 13% 2% -
169 CHERNIS Zoe C. - 1% 9% 29% 37% 20% 4%
169 READ Lyla 4% 20% 39% 30% 7% 1% -
171 LI Olivia 1% 8% 26% 36% 23% 6% -
172 KAUSHISH Sara 1% 10% 29% 36% 20% 4% -
173 PRIHODKO Nina - 2% 13% 31% 35% 17% 2%
174 ZIMMERMAN Karmen 5% 21% 35% 27% 10% 2% -
175 ZHU Serene M. - 1% 5% 20% 38% 31% 6%
175 KUTSY Olga 7% 25% 36% 24% 7% 1% -
175 NGUYEN Audrey - - 5% 23% 42% 27% 3%
178 WANG Jessie - 1% 7% 24% 37% 25% 6%
179 WALTER Anna 1% 13% 33% 35% 15% 3% -
179 WEI Sherry 8% 32% 39% 18% 3% - -
181 STOMMEL-DIAZ Charly 10% 31% 35% 18% 5% 1% -
182 SU Evelyn 1% 8% 27% 40% 21% 4% -
182 CHUNG Penelope 3% 20% 38% 28% 9% 1% -
184 SUN Hanya 1% 9% 28% 36% 21% 5% 1%
185 BARANOSKI CHLOE 4% 19% 35% 30% 11% 1% -
185 LEE Yeriel 7% 31% 38% 19% 4% - -
187 PAN Angela 4% 29% 41% 22% 5% - -
188 FERNLUND Helen 10% 31% 35% 18% 4% - -
189 CHANG Chloe 5% 25% 39% 24% 6% 1% -
190 GEVA Eliana - 2% 11% 29% 36% 19% 3%
190 TANG Elaine 17% 37% 30% 13% 3% - -
190 XIAO Nancy - 6% 24% 36% 25% 8% 1%
193 HSIU Elizabeth 1% 8% 27% 37% 22% 5% -
194 ZUCKER Emily A. 29% 41% 22% 6% 1% - -
195 ZOU You yang (Yoyo) 10% 37% 37% 14% 2% - -
196 WANG Sophie Y. 4% 24% 39% 25% 7% 1% -
196 GOH Cayla 6% 32% 38% 19% 4% - -
198 STERN Savannah 2% 14% 33% 34% 15% 2% -
199 POON Desiree 9% 32% 38% 18% 3% - -
200 CAMAMA Tessa 1% 9% 29% 38% 19% 3%
201 AWALEGAONKAR Saina 19% 41% 30% 9% 1% -
202 SYKES Elynor - 5% 23% 39% 27% 6%
203 SCANLAN Claire 12% 37% 37% 12% 1% -
204 MURPHY Katherine 15% 40% 34% 10% 1% -
205 KAUR Manroop 18% 41% 30% 9% 1% -
206 BEAVER Ava - 7% 26% 41% 24% 2%
207 XU Jessica 26% 43% 24% 6% 1% -
207 ZHU Riley 26% 48% 22% 4% - -
209 CHENG Wanrong 61% 32% 6% 1% - -
210 WONG Caitlin 7% 28% 39% 21% 5% -
211 WANG Cecilia 14% 38% 33% 12% 2% - -
212 NGUYEN Ella 2% 11% 30% 35% 18% 3% -
213 SCHOR Elisabeth 10% 32% 37% 17% 3% - -
214 SCHULTZ Gillian - 3% 17% 35% 31% 12% 2%
215 BHATT Anisha 7% 25% 34% 23% 8% 2% -
216 REKEDA Anna 7% 28% 37% 22% 6% 1% -
217 DAVIS Jennifer 9% 30% 37% 20% 5% - -
218 PHUKAN Indra - 3% 16% 35% 33% 12% 1%
219 PANT Anisha - 3% 17% 37% 34% 8% -
220 SMOTRITSKY Liat 1% 12% 33% 36% 15% 2% -
221 MCQUEEN Morgan 11% 36% 36% 15% 3% - -
222 FLITMAN Gabrielle 7% 27% 37% 23% 6% 1% -
223 KANG Xinwen 3% 18% 34% 30% 12% 2% -
224 WATTANAKIT Anda - 1% 9% 25% 35% 24% 6%
225 BRIDGE Rebekah 1% 9% 29% 37% 20% 4% -
226 BLANCO Ariia 5% 27% 39% 23% 6% 1% -
227 SHANKERDAS Shreeya 8% 31% 38% 19% 4% - -
228 MERRIMAN Rie 30% 44% 21% 4% - - -
229 PILSON Rebecca 3% 20% 38% 28% 9% 1% -
230 SHELIN Chelsea - 5% 19% 35% 29% 11% 2%
231 LEWIS Rachel 1% 9% 27% 36% 21% 5% -
231 BARDIN Kira 14% 36% 33% 14% 3% - -
233 YUNG Bethany 23% 42% 26% 8% 1% - -
234 LI Suri 1% 6% 22% 36% 27% 8% 1%
235 NGUYEN Ashley L. 4% 26% 40% 24% 6% 1% -
236 MUN Brianna K. - 3% 13% 29% 33% 19% 4%
237 SUICO Kyubi Emmanuelle 4% 22% 39% 27% 8% 1% -
238 MANDAP Svetlanna - 6% 23% 36% 26% 8% 1%
238 MYRAH Vivienne 1% 10% 31% 37% 18% 3% -
240 YUMIACO Nylah 19% 40% 30% 10% 2% - -
241 CHANG Celine A. - 5% 21% 38% 28% 7% -
241 LUMINATI Kathryn 3% 16% 33% 31% 14% 3% -
243 CHEN Alicia 6% 33% 38% 18% 4% - -
244 KROTZ Gemma 47% 41% 11% 1% - - -
245 ELTERMAN Kate 6% 28% 40% 21% 4% - -
246 NOVOJILOV Anastasia 1% 11% 32% 36% 17% 3% -
246 REED Katya 25% 42% 25% 7% 1% - -
248 KANASKAR Ila 5% 25% 39% 24% 6% - -
248 LOBANOVA Varvara 15% 39% 33% 11% 1% - -
250 KANE Chloe 9% 33% 38% 17% 3% - -
251 VENKATESAN Harshitha 14% 36% 33% 14% 3% - -
252 LIN Isabel 18% 39% 31% 11% 2% - -
253 WANG Haoning 1% 7% 22% 34% 26% 10% 1%
254 CHAN Macie 62% 32% 6% - - - -
255 WANG Ziqiao (Claire) 4% 22% 38% 27% 8% 1%
256 SHARMA Sanvi 2% 19% 39% 30% 9% -
257 BEATIE Isabella M. 15% 39% 33% 12% 2% -
258 ZHAO Alina 2% 18% 38% 32% 10% 1%
258 DASILVA Mia 23% 43% 26% 7% 1% -
260 BI Michelle 25% 44% 26% 5% - -
261 NELSON-LOVE Lily B. - 6% 28% 42% 21% 3%
262 DESANTIS-IBANEZ Elena 9% 33% 36% 18% 4% - -
263 WU Jessica 2% 18% 39% 31% 10% 1% -
264 LI Yixin Catherine 23% 41% 27% 8% 1% - -
265 LEE Claudia 62% 32% 6% - - - -
266 ZHAO Yanning 38% 42% 17% 3% - - -
267 GEFFNER Olivia 52% 37% 10% 1% - - -
267 NGUYEN Celena 15% 38% 34% 12% 1% - -
269 MITTMAN Lela Z. 1% 14% 37% 35% 12% 2% -
270 LIN Victoria T. 12% 32% 34% 17% 4% - -
271 YIN Gabriela 4% 20% 35% 29% 11% 2% -
272 BRUNSON Nile - 4% 16% 32% 31% 14% 2%
273 GUSKA Jenn 47% 39% 12% 2% - - -
273 SALISTRA Emilia 3% 18% 39% 30% 9% 1% -
273 LI Yunxuan (Joy) 16% 46% 29% 8% 1% - -
276 KENT Elizabeth J. - 1% 8% 25% 37% 24% 5%
276 MEYER Rachel 8% 32% 39% 18% 3% - -
278 RUVOLO Arwen 26% 43% 25% 6% 1% - -
279 SHAKIR Inaaya 4% 21% 35% 28% 10% 2% -
280 CHANG Abigail 11% 32% 35% 18% 4% - -
281 OPIELA Natalie 4% 24% 39% 25% 7% 1% -
282 DONGES Anna 1% 8% 23% 33% 24% 9% 1%
282 MEYER Rebecca 8% 32% 38% 18% 4% - -
284 COLELLA Lauren 3% 21% 38% 28% 9% 1% -
285 RAFFERTY Catherine 32% 42% 20% 5% 1% - -
286 MCKENNA Analise 32% 43% 21% 4% - - -
286 JUDICKE Olivia 7% 27% 36% 22% 7% 1% -
286 KAUR Jaap 32% 42% 20% 5% 1% - -
289 JAMES Ashley 13% 36% 34% 14% 3% - -
290 VARAN Kateryna 16% 39% 33% 11% 1% - -
290 NORRIS Morgan 26% 43% 25% 6% 1% - -
292 DRYSDALE Lita 2% 15% 33% 32% 15% 3% -
292 LY Hannah 32% 41% 21% 5% 1% - -
294 XU Celina 6% 26% 39% 23% 6% - -
295 BLAKEY Heaven 6% 25% 37% 24% 7% 1% -
295 PHELAN Gabrielle 35% 42% 19% 4% - - -
297 LEE Camilla 2% 14% 32% 34% 16% 3% -
297 GAVILANES Madyson 37% 42% 17% 3% - - -
297 TANG Ellen 20% 43% 29% 8% 1% - -
300 FENG Iris 13% 36% 34% 14% 2% - -
301 MISRA Tara 38% 42% 17% 3% - - -
302 FREEMAN Kit 14% 35% 33% 15% 3% - -
302 STOY Sophia 34% 43% 19% 4% - - -
304 FU Ella 18% 39% 30% 11% 2% - -
305 SAYAGUES Isabella 38% 46% 14% 2% - -
306 KOVALCHUK Erika S. 10% 35% 38% 15% 2% -
307 BROWN Riley 11% 37% 35% 14% 3% - -
308 LIN Cynthia 48% 39% 12% 2% - - -
309 BAUTISTA DE ROBLES Ekaterine 3% 21% 38% 28% 9% 1% -
310 ENRILE Erica 2% 11% 28% 33% 19% 6% 1%
311 HALE Avery 18% 45% 29% 7% 1% -
311 VIOLETTE Lih-Ann 83% 16% 1% - - -
313 SIMHADRI Sanjana 63% 31% 5% - - - -
314 WRIGHT Madison 43% 41% 14% 2% - - -
315 BARTOSZUK Camilla 29% 44% 22% 5% - -
316 HASIM Eurietta 18% 41% 30% 10% 1% - -
316 WILLIAMSON Beatrix 7% 29% 37% 21% 5% 1% -
316 BAWA Jenya 23% 41% 27% 8% 1% - -
319 SUN Karolyn 38% 42% 17% 3% - - -
320 MOHEBI Neeka 29% 43% 23% 5% - -
321 TSUI Zoe 46% 40% 12% 2% - - -
322 CHEN Samantha 60% 33% 7% 1% - - -
323 CHUANG Ramona 6% 24% 36% 25% 8% 1% -
323 HULL Ilsa 36% 42% 18% 3% - - -
325 FAKTOR Emily 9% 30% 36% 20% 5% - -
326 GAGARING Genia 7% 28% 38% 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.