National Championships and July Challenge (Summer Nationals)

Y-14 Women's Épée

Wednesday, July 3, 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 LEE Scarlett - - - - 3% 29% 68%
2 LEE REGINA - - - - - 5% 95%
3 WANG Ziqi (yoyo) - - - 1% 11% 39% 49%
3 GUO Luxi - - - 1% 10% 39% 50%
5 KOZLOWSKI Maya M. - - - - 4% 28% 68%
6 SEREGIN Katya - - - 1% 13% 43% 43%
7 TOLSMA Chloe (CJ) - - - - - 11% 88%
8 FERREIRA DE MELO Adriana - - - 1% 9% 36% 55%
9 YOUNG VIVIAN - - - 2% 13% 41% 44%
10 BEAVER Ava - - - 3% 18% 42% 36%
11 SMUK Alexandra S. - - - - 4% 28% 68%
12 NEELAM Navya - - - 1% 11% 37% 51%
13 WANG Zoe - - - - 4% 28% 67%
14 ABUELFUTUH Sama - - 4% 23% 45% 27%
15 IYER Ishana - - 3% 18% 46% 33%
16 XU Serena - - 3% 13% 30% 37% 17%
17 CAFASSO Natalya - - - - 3% 24% 72%
18 FRANGER Macy - - - 4% 21% 43% 31%
19 WATTANAKIT Anda - - - 1% 8% 34% 57%
20 SCHMITT Harper - - 1% 7% 26% 42% 23%
21 DEPOMMIER Isabelle - - 1% 8% 29% 43% 19%
22 LOBANOVA Varvara - 3% 21% 40% 29% 7%
23 CAMPBELL Eva - - 1% 7% 25% 42% 25%
24 CARRIER Meredith - - - - 5% 29% 66%
25 ELTERMAN Kate - - 8% 30% 40% 20% 3%
26 BALAKRISHNAN Trisha - - 1% 6% 24% 43% 27%
26 ADYANTHAYA Anika - 1% 10% 29% 37% 20% 4%
28 SHAYAKHMETOVA Suzanna - 2% 15% 36% 33% 12% 1%
29 LI Alice - 2% 13% 31% 35% 17% 3%
30 HABEK Sophia - - 1% 8% 29% 45% 17%
31 ZHANG Jane 1% 9% 28% 35% 21% 5% 1%
32 WANG Victoria - - 5% 25% 45% 25%
33 KUMAR Eva - - - 3% 17% 41% 38%
34 QIU Emily - - 3% 14% 34% 36% 13%
35 DOBROSAVLJEVIĆ Kalina 2% 13% 30% 33% 18% 4% -
36 KUDRYAVTSEVA Margarita - - 1% 10% 33% 46% 10%
37 ZHU Una 1% 9% 29% 37% 20% 5% -
38 LISCUM Vivian - - - 3% 17% 42% 37%
39 BEATIE Isabella M. 1% 6% 21% 33% 27% 11% 2%
40 ZHAO Emma 1% 8% 26% 37% 23% 5% -
41 NOVOJILOV Anastasia - 1% 5% 23% 44% 27%
41 WU Michelle - 1% 12% 34% 38% 14%
43 MARTINEZ Christina - - 5% 24% 45% 25%
44 LEE Gloria Y. - 1% 8% 27% 43% 21%
45 REED Katya 5% 24% 38% 25% 7% 1%
46 BURT Emmalyne Grace 6% 27% 39% 22% 5% - -
47 YILMAZ Pinar - - - 3% 16% 41% 40%
48 LIN Ariel - - 2% 14% 36% 38% 11%
49 PRESMAN Aerin - - - - 6% 31% 63%
50 QI Julieanne - - - 4% 19% 43% 35%
51 ZOU You yang (Yoyo) - 3% 14% 33% 33% 14% 2%
52 LEE Claire - - - 1% 10% 37% 52%
52 TALANDZEVICIUS Sophia 1% 6% 21% 35% 28% 9% 1%
54 GANSER Nicole - - 3% 17% 37% 33% 9%
55 BLANCO Ariia - 1% 10% 29% 37% 19% 3%
56 RICHARDSON Meredith - - 1% 8% 26% 41% 24%
57 JEYOON Lauren 4% 19% 34% 29% 12% 2% -
58 KROPP Anne - - 4% 21% 42% 31% 1%
59 WEI Sherry - 1% 9% 29% 40% 18% 2%
60 DWIGGINS Reese 1% 10% 32% 37% 18% 3% -
61 MCQUEEN Morgan - 4% 18% 36% 32% 10% 1%
62 LEE Yeriel - 1% 5% 22% 39% 29% 4%
63 RAMEY Alexa 2% 16% 35% 31% 13% 2% -
64 CAMAMA Tessa - - 6% 26% 45% 23%
65 PILSON Rebecca - 1% 8% 27% 38% 23% 4%
66 XU Amy(Chenyu) - 3% 16% 34% 32% 12% 1%
67 MEYER Rebecca - 3% 16% 34% 33% 13% 1%
68 HANKINS Morgan - - 2% 12% 33% 38% 14%
69 KAUR Manroop - 1% 6% 22% 39% 27% 5%
70 SHEFFIELD Skye - - 1% 8% 28% 42% 21%
71 HOLDEN Helena - 3% 18% 36% 31% 11% 1%
72 VOSKOV Olivia 1% 6% 23% 36% 26% 8% -
73 GOH Cayla - 2% 12% 31% 35% 17% 3%
74 SUICO Kyubi Emmanuelle - - 3% 15% 34% 35% 13%
74 TISMENSKY Avital 2% 12% 30% 35% 18% 4% -
76 HE Anna - 5% 20% 36% 29% 9% 1%
77 ZHUANG Lauren - 4% 21% 42% 27% 5%
78 MISHIMA Audrey - 1% 12% 35% 40% 11%
78 WANG Ziqiao (Claire) - - 5% 22% 45% 28%
80 ZHONG Evelyn 3% 23% 41% 27% 7% 1%
81 CHERNIS Liah - 2% 11% 29% 36% 20% 4%
82 STERN Savannah - 1% 6% 23% 38% 27% 5%
83 MOHAN Riya 1% 10% 28% 35% 20% 5% 1%
84 BRIDGE Rebekah - - 2% 13% 36% 41% 8%
85 BURICEA Ada - - 4% 20% 40% 30% 6%
86 BOROTKO Katerina - 3% 17% 36% 31% 11% 1%
87 AWALEGAONKAR Saina - 3% 14% 33% 35% 14% 1%
88 HERD Angela 3% 18% 35% 31% 11% 1% -
89 CARCELLER Bernardita (Tini) - 1% 9% 29% 40% 20% 1%
90 KANG Yenna 2% 12% 30% 35% 18% 3% -
91 KANASKAR Ila - 1% 10% 30% 37% 18% 3%
92 STERR Isabella M. - - - 5% 23% 44% 28%
93 FU Shannon - 3% 19% 38% 30% 9% 1%
94 WU Jessica - 1% 5% 19% 35% 31% 9%
95 GIERAT-KATZ Izabella 6% 30% 38% 20% 5% 1% -
96 WANG Jessie - - 1% 10% 39% 51%
97 LIN Laura - 7% 29% 41% 19% 3%
98 DHAIYA Tanya 2% 23% 42% 27% 6% -
99 DESANTIS-IBANEZ Elena - 3% 14% 32% 34% 15% 2%
100 CHIOU-WILLIAMS Matea - 3% 19% 38% 30% 9% 1%
101 FENG Iris - 4% 21% 38% 28% 8% 1%
102 LEE Camilla - 1% 5% 19% 36% 30% 9%
103 HAUSHEER Kuncen - 1% 6% 22% 39% 28% 4%
104 PAN Angela - 4% 18% 35% 30% 11% 1%
105 ZHU Riley - - 5% 22% 39% 27% 6%
106 ZHAO Yanning 5% 21% 35% 27% 10% 2% -
107 GUAN Isabella - 1% 6% 20% 38% 30% 5%
108 LIN Isabel 1% 8% 27% 36% 22% 6% 1%
109 CHEN Alina 1% 8% 26% 36% 23% 6% -
109 HUANG Selina 3% 18% 36% 30% 11% 2% -
111 WANG Chloe 3% 16% 33% 31% 14% 3% -
112 PEI Claire - 4% 18% 38% 31% 8% -
113 XU Jessica - 1% 9% 30% 38% 19% 3%
114 CHI Zoe 2% 13% 33% 34% 16% 3% -
115 LIN Cynthia 4% 21% 37% 28% 10% 1% -
116 KUTSY Olga - 3% 19% 39% 31% 9%
117 TISMENSKY Abigail 3% 17% 36% 32% 11% 1%
118 PETROFF Eva - 3% 17% 37% 32% 10% -
119 MENDOZA zoie - - 5% 22% 39% 28% 6%
120 NGUYEN Ella - - 3% 16% 36% 35% 10%
121 ZHAN Clare 13% 33% 33% 16% 4% - -
121 HULL Ilsa 3% 20% 39% 28% 9% 1% -
123 JORDAN Zoe - 2% 10% 26% 35% 22% 5%
124 LI Yunxuan (Joy) 1% 11% 32% 36% 17% 4% -
125 GAGARING Genia - 4% 17% 33% 32% 13% 2%
126 WANG Selina 6% 27% 38% 22% 6% 1% -
127 DESAI Ela 6% 23% 34% 25% 10% 2% -
128 READ Lyla - 1% 9% 27% 39% 22% 2%
129 FLITMAN Gabrielle - 3% 13% 32% 36% 15% 1%
130 WANG Sophie Y. - 5% 18% 33% 29% 13% 2%
131 HALE Avery - 1% 9% 27% 37% 22% 3%
132 KAMENSKY Elina 13% 34% 33% 16% 4% - -
133 BLAETZ Isadora - 7% 30% 38% 20% 5% -
134 MADANNAVAR Trisha 7% 31% 39% 19% 4% - -
135 MENKIN Kate 7% 26% 36% 23% 7% 1% -
136 KAKANI Aditi 7% 26% 36% 23% 7% 1% -
137 FISCHBEIN Quinley 1% 11% 34% 38% 15% 1%
138 AIRES Julia - 1% 13% 35% 37% 14%
139 MANDAP Alessandra 2% 21% 42% 27% 6% -
140 FU Ella - 5% 26% 39% 23% 6% -
141 WANG Cecilia - 5% 20% 36% 29% 9% 1%
142 LI Caroline - 6% 23% 36% 25% 8% 1%
143 KALGAONKAR Arohi - 1% 10% 28% 36% 20% 4%
144 VENKATESAN Harshitha 4% 22% 35% 27% 10% 2% -
144 NORRIS Morgan 1% 10% 27% 35% 21% 5% -
146 MOLLINIER Angel - 1% 5% 21% 37% 28% 7%
147 LEE Emily - 3% 17% 36% 33% 11% -
148 YU Eva - 2% 13% 32% 35% 16% 2%
149 MONOVA Lilyana - - 1% 8% 27% 41% 22%
150 BUCA Nora 1% 10% 27% 34% 21% 6% 1%
151 BI Michelle - 2% 10% 29% 37% 20% 2%
152 YUNG Bethany - 4% 19% 35% 30% 10% 1%
153 YAO Chloe - 4% 17% 35% 31% 12% 1%
153 WHITELAW Shyann 5% 23% 36% 26% 8% 1% -
155 BURROWS Beatrice 22% 45% 27% 6% 1% - -
156 GARCIA Sophia Noelle 22% 56% 20% 2% - - -
157 GARCIA Aly 5% 23% 37% 27% 8% 1% -
158 WONG Angelina - 8% 38% 37% 14% 2% -
159 CHEN Julia Z. 1% 10% 29% 35% 19% 5% -
160 MERRIMAN Rie 2% 17% 38% 32% 10% 1%
161 LEE Kaitlyn 7% 37% 39% 14% 2% -
162 SALAZAR Emma 16% 41% 33% 9% 1% -
163 CHAN Macie 15% 39% 34% 11% 1% -
164 MYRAH Vivienne - 2% 9% 25% 35% 23% 6%
165 SCHOR Elisabeth - 2% 12% 33% 36% 15% 2%
166 WONG Sydney 1% 9% 28% 36% 21% 5% -
167 NING Miranda 9% 34% 36% 17% 4% - -
168 KARTHIK Diya 7% 27% 37% 23% 6% 1% -
169 ANEZIOKORO Zahra 2% 11% 29% 36% 19% 4% -
170 JU Jennifer 27% 44% 23% 5% 1% - -
171 ALLIEVI Simone 23% 42% 27% 8% 1% - -
172 WONG Caitlin - 1% 7% 24% 37% 25% 5%
173 BUDMAN Ava 15% 36% 33% 14% 3% - -
174 SHERMAN Olivia 1% 11% 31% 35% 18% 4% -
175 GEFFNER Olivia 6% 25% 37% 24% 8% 1% -
176 JAQUISH Zoey 2% 13% 32% 34% 16% 3% -
177 RICHARDS Axelle 2% 18% 40% 30% 9% 1% -
178 JORGENSEN Kjirsten - 7% 26% 37% 23% 6% 1%
179 KRISHNA Avni 1% 9% 25% 34% 23% 7% 1%
180 WRIGHT Madison 1% 8% 26% 37% 23% 6% -
180 BISONO Valentina - 3% 16% 37% 34% 10% -
180 KENT Laurel 2% 17% 35% 31% 13% 2% -
183 BURKS Madison 9% 31% 37% 19% 4% - -
183 WU Madisen 11% 33% 36% 17% 3% - -
185 CHEN Allison 42% 46% 11% 1% - - -
185 HALE Reagan 4% 41% 39% 14% 2% - -
187 GOLIYAD Lisa 2% 17% 35% 31% 13% 2% -
188 WORTHINGTON Isabella 33% 42% 20% 5% 1% - -
189 MIYOSHI Kylie 4% 20% 36% 29% 11% 2% -
190 WORKNEH Lulit 3% 24% 40% 25% 7% 1% -
191 LY Hannah 2% 23% 42% 27% 6% -
192 GAN Shelby 2% 20% 40% 29% 8% 1%
193 HOWARD Katherine 63% 32% 5% - - -
194 LEVKOV Maita 21% 53% 22% 4% - -
195 LI Carlie 30% 42% 22% 5% - -
196 ZHENG Erin 19% 42% 30% 8% 1% -
197 DREWRY Alexandra 76% 22% 2% - - -
198 XU Mulan 49% 38% 11% 1% - - -
199 SHETH Anayaà 7% 30% 38% 20% 5% 1% -
200 CHOI Lydia 4% 25% 38% 24% 7% 1% -
201 RADOV Una 4% 26% 40% 23% 6% 1% -
202 YOUSSEF Caroline 3% 17% 36% 32% 11% 1% -
203 LEE Kate 17% 38% 31% 12% 2% - -
204 GULLAPALLI sruthi 16% 44% 30% 9% 1% - -
205 KANE Chloe - 1% 10% 30% 37% 19% 3%
206 CHENIER Amelia 36% 43% 18% 3% - - -
206 AHMAD Sophia 18% 39% 30% 10% 2% - -
206 COLLINS Molly 19% 38% 30% 11% 2% - -
209 YOUN Kylie 53% 38% 9% 1% - - -
210 SONG Charlotte 8% 32% 38% 18% 4% - -
211 KANDALA Aanya 4% 22% 37% 27% 9% 1% -
212 MAENG Gloria 24% 43% 26% 7% 1% - -
212 MAGIERA Isabell 20% 42% 28% 9% 1% - -
214 CHEONG Chloe - 1% 11% 34% 37% 15% 2%
215 GOCHBERG Madeline 20% 41% 29% 9% 1% - -
216 KOU Cynthia 7% 27% 37% 23% 6% 1% -
216 CHAKRAPANI Tara 41% 41% 15% 2% - - -
218 UEMURA Lyllia 32% 50% 16% 2% - - -
219 BUNCH Halle 44% 42% 13% 2% - - -
220 CHOU Andrea 8% 37% 37% 15% 3% - -
221 LI Jasmine 23% 43% 26% 7% 1% - -
221 CHO Anya 11% 42% 34% 10% 1% - -
223 REN Ivanka 33% 46% 18% 3% - - -
224 YAKOUT Jasmine 21% 44% 27% 7% 1% - -
225 SCANLAN Alina Nev 36% 41% 18% 4% 1% - -
226 PRAVEEN Nehara 36% 45% 17% 3% - - -
227 OPERARIO Sofia Francesca 2% 14% 33% 33% 15% 2% -
228 SILVA Hailey 57% 35% 7% 1% - - -
229 SUN Karolyn 7% 29% 38% 21% 5% -
230 CHANDA Prerana 14% 34% 33% 15% 4% - -
231 ZU Jacqueline 56% 38% 6% - - -
232 KUPPUSAMY Mahaa 19% 40% 29% 10% 2% - -
232 POZAS Vida 36% 42% 18% 3% - - -
234 WILKENS Lorelei 61% 33% 6% 1% - -
235 NAPOLI Eleanor 50% 38% 11% 1% - - -
236 STOY Sophia 10% 31% 35% 18% 5% 1% -
237 WELLS Aenea 21% 40% 28% 9% 1% - -
238 BRINDAVAN Vyahriti 60% 36% 4% - - - -
239 BEATINGO Chelli 4% 20% 36% 29% 10% 1% -
239 LEE Adelynn 9% 30% 36% 20% 5% - -
241 KELLER Mia 44% 40% 14% 2% - - -
242 YAO Sophia 55% 36% 9% 1% - - -
243 KRISHNAKUMAR Trisha 3% 16% 33% 31% 14% 3% -
243 GORDON Hannah 60% 33% 7% 1% - - -
245 MORET Teagan 84% 15% 1% - - - -
245 WANG Ellie 23% 41% 27% 8% 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.