National Championships, Junior Olympic Championships & July NAC

Cadet Women's Foil

Sunday, July 4, 2021 at 1:45 PM

Philadelphia, PA - Philadelphia, PA, 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 ZHENG Ivy - - - - 3% 27% 70%
2 QIAN Crystal - - - 1% 8% 37% 54%
3 CAO Arianna L. - - - 4% 18% 42% 35%
3 LESLIE Ryanne T. - - - - 4% 29% 66%
5 LUNG Katerina - - - 2% 14% 40% 44%
6 JING Emily - - - 2% 12% 41% 46%
7 DAVIA Daniella V. - - - 2% 16% 42% 40%
8 GEBALA Gabrielle Grace A. - - - 8% 32% 43% 17%
9 CHUSID Mikayla - - - 1% 14% 43% 42%
10 KIM Rachael - - 1% 6% 25% 43% 26%
11 KOO Rachel A. - - - 1% 10% 39% 50%
12 APELIAN Katherine - - - 5% 30% 65%
13 LEE Brianna J. - - 1% 6% 23% 42% 28%
14 SHAW Kayla M. - - 2% 12% 34% 40% 12%
15 MASSICK Laine - - - 3% 17% 44% 36%
16 OUYANG Bridgette Z. - - 1% 11% 36% 41% 11%
17 WANG Ellen - - - 2% 15% 43% 40%
18 CHEN Jia P. - - 2% 15% 43% 40%
19 CONWAY Josephina (JoJo) J. - - - 1% 10% 39% 50%
19 SUN Ruoxi - - 2% 18% 41% 31% 7%
21 DEBACK Greta I. - 1% 13% 41% 37% 8%
22 HO Brianna W. - - - 1% 14% 44% 40%
23 KONG Chin-Yi - - - 2% 13% 41% 44%
24 HALL Velma - - - 5% 22% 43% 30%
25 LIU Jaelyn A. - - 2% 15% 36% 35% 11%
26 SHEN Sophia H. - - - 1% 7% 33% 60%
27 GRIFFIN Emma G. - - 1% 10% 40% 50%
28 KIM Katherine - 1% 9% 29% 41% 20%
29 DE LA CRUZ Eden - 2% 17% 38% 32% 10% 1%
30 HUANG NATALIE 1% 10% 34% 37% 16% 3%
31 CHO Cameron S. - 1% 6% 22% 37% 28% 7%
32 KOSTELNY Alexis - - 3% 35% 42% 17% 2%
33 HUNG Juliana K. - - - 4% 19% 42% 34%
34 SHEN Lydia - - 5% 24% 45% 27%
35 HECKMANN Emma - - 1% 9% 33% 42% 15%
36 MILLER Naomi E. - - 1% 17% 43% 32% 7%
37 EYER Hailey M. - - 4% 17% 36% 34% 10%
38 LIU Angel(Daying) - 7% 27% 38% 22% 6% -
39 PEVZNER Victoria - - - 3% 20% 45% 31%
40 DING Abigail - 3% 16% 35% 33% 12% 1%
41 CHEN Allison V. - - 3% 20% 41% 30% 6%
42 ZHANG Alina C. - 3% 15% 35% 35% 12%
43 KLINE Melissa C. - 1% 7% 28% 43% 21%
44 TAN Kaitlyn N. - 1% 9% 32% 42% 15%
44 XUE Alanna L. - 1% 15% 42% 36% 6%
46 KNIGHT Skylar - - - 3% 17% 42% 37%
47 SOOD Ishani S. - - - 5% 28% 48% 20%
48 YHIP Mikaela M. - - 2% 15% 45% 32% 6%
49 LOCKE Savannah - - 3% 20% 41% 30% 6%
50 ACHILOVA Feyza - - 4% 27% 43% 23% 3%
51 YE Eileen - 2% 14% 31% 33% 16% 3%
52 CHO Gracie L. - - 3% 17% 36% 33% 10%
53 MICHAELSEN Emily - 2% 13% 33% 34% 16% 2%
54 JANG Kimberley - - 2% 11% 32% 41% 15%
55 TALWALKAR Apoorva - 1% 6% 23% 39% 27% 6%
56 RANDOLPH Piper 1% 13% 33% 33% 16% 3% -
57 NEWHARD Zelia "Zizi" - 2% 13% 30% 34% 18% 3%
58 KOROL Neta - - 4% 19% 41% 32% 5%
59 OH Erin H. - 1% 9% 30% 41% 19%
60 YU Seneca - 1% 10% 32% 40% 17%
61 DRAGNE Alexis D. - 4% 24% 43% 24% 4% -
62 ZHAO Sophie L. - 1% 9% 29% 37% 20% 3%
63 SHIH Diane - 1% 10% 35% 38% 15% 2%
64 OLIVEIRA Lavinia M. 1% 10% 48% 34% 6% - -
65 LI Phoebe J. - - 3% 14% 34% 37% 11%
66 JO Mia C. - - 3% 13% 32% 36% 16%
67 LI Rachel Y. - 1% 6% 24% 41% 25% 5%
68 AMR HOSSNY Sara - - 4% 28% 43% 22% 3%
69 KOENIG Charlotte R. - - 1% 9% 31% 43% 16%
70 PERLMAN Talia - - 2% 14% 40% 37% 6%
71 CHO Rebecca H. - 5% 23% 39% 26% 6%
72 CASTANEDA Erika L. - 1% 9% 28% 41% 22%
73 KONG Olivia - 2% 12% 34% 38% 15%
74 COSTELLO Angeline S. - - 3% 21% 44% 27% 5%
75 LI Meilin - 1% 5% 19% 36% 31% 9%
76 ADAMS KIM Natalie - - 5% 24% 43% 24% 3%
76 MAESTRADO Ashley R. 18% 38% 31% 12% 2% - -
78 WU Julianna Y. - 5% 19% 34% 29% 11% 2%
79 PANT Anisha - 7% 27% 37% 22% 6% -
80 HWANG Alison - 3% 26% 48% 20% 3% -
81 MEI Sarah 4% 22% 38% 27% 8% 1% -
82 YU Lauren C. - 1% 8% 27% 40% 21% 2%
82 LIU Joy Zhaoyi - 3% 15% 33% 33% 14% 2%
84 WONG Sophia M. - 4% 20% 37% 28% 9% 1%
85 LEE Ariana - 3% 14% 32% 34% 15% 2%
86 MI Anning - 9% 36% 38% 14% 2% -
87 XU Christine - 2% 12% 32% 36% 17% 2%
88 ATLURI Srija - - 4% 24% 44% 25% 3%
89 DU Hannah - 2% 13% 33% 34% 15% 2%
90 PENG Amber L. - 4% 21% 38% 28% 8% 1%
91 NIKOLIC Alexandra 1% 13% 43% 34% 9% -
92 YANG Lingting 8% 40% 36% 13% 2% -
93 SADAN Jordan E. - 1% 13% 40% 36% 8%
94 DOROSHKEVICH Taisiia 1% 10% 35% 37% 15% 2%
94 PAHLAVI Dahlia 1% 9% 28% 37% 21% 4%
96 NISSINOFF Alexandra 3% 20% 37% 29% 10% 1%
97 ZHENG Julie 1% 23% 42% 27% 7% 1%
98 ZHAO Aileen Y. 2% 17% 39% 31% 9% 1%
99 JIANG Yangying (Amanda) - 3% 19% 41% 29% 8% 1%
100 KOROL Dana - 3% 19% 37% 30% 10% 1%
101 PRIETO Sofia M. - 3% 22% 40% 26% 7% 1%
101 LIU Sophia 3% 34% 40% 19% 4% - -
103 SU Michelle 1% 10% 31% 37% 18% 3% -
104 BATRA Chaahat - - 4% 19% 39% 31% 7%
105 SARTORI Taylor M. - - 2% 17% 41% 33% 7%
106 GU EMILY - 5% 23% 38% 25% 7% 1%
107 GUERRA Sofia E. - - 5% 20% 37% 30% 8%
108 CUI Amy - 5% 21% 36% 28% 9% 1%
109 FERRETTI Anna Rebecca - 1% 11% 30% 36% 18% 3%
110 WEBB Ella 2% 21% 38% 28% 9% 1% -
111 LIU Siyuan 2% 15% 33% 33% 15% 3% -
112 KHOO Lauren A. - 1% 5% 20% 35% 29% 9%
113 SENIC Adeline - - 3% 18% 39% 32% 8%
114 HSIUNG Samantha 1% 13% 42% 34% 10% 1% -
115 MORADI Raiyan N. 1% 16% 38% 33% 11% 1% -
116 WU Irene M. - 7% 26% 37% 23% 6% 1%
117 OTEYZA Camille 15% 39% 33% 11% 2% - -
118 KENNEDY Elizabeth 9% 30% 36% 19% 5% 1% -
119 SEO IRENE Y. - 6% 28% 41% 21% 3%
120 NAMGALAURI Mariam - 4% 22% 39% 28% 7%
121 FERNANDES Thea - 3% 21% 45% 28% 3%
122 YEH Marissa E. 1% 8% 30% 40% 19% 3%
123 LEE Lavender 1% 11% 30% 35% 18% 4% -
124 SULEIMAN Alysa J. - 5% 21% 37% 27% 8% 1%
125 SULEIMAN Alena J. - 4% 22% 37% 27% 9% 1%
126 CHON Sydney 1% 13% 33% 34% 16% 3% -
127 LENZ Zoe N. 13% 41% 33% 11% 2% - -
128 ZHOU Catherine 17% 44% 32% 7% 1% - -
129 SHITAMOTO Audrey F. - 1% 8% 25% 38% 24% 3%
130 NAM Cassie 2% 17% 38% 31% 10% 1% -
131 SLASKI Caroline O. 6% 41% 38% 13% 2% - -
132 ASCHETTINO Aurora 30% 50% 18% 2% - -
133 YIN Helen - 5% 30% 40% 20% 4% -
134 KOSLOW Amicie - 2% 16% 43% 31% 8% 1%
135 WILSON Anna S. 7% 33% 39% 17% 3% - -
136 CASTANEDA Keira 1% 13% 36% 35% 13% 2% -
137 KOKES Gwendolen 7% 30% 39% 20% 5% - -
138 HAYES Alyssa R. 5% 23% 36% 26% 9% 1% -
139 ROY Layla - 6% 31% 41% 18% 3% -
140 KETTELLE Molly 3% 35% 56% 7% - - -
141 SCHMIDT Victoria 10% 59% 26% 4% - - -
142 MUSTO Isabella 3% 30% 46% 18% 3% - -
143 QIAN Zhiyan 4% 27% 51% 16% 2% - -
144 SKOURLETOS Maria 34% 45% 18% 2% - - -
145 WANG Ashley 2% 25% 42% 25% 6% 1% -
146 ZGOMBIC Emily 25% 46% 23% 5% 1% - -
147 LEE Fiona E. 7% 27% 38% 22% 5% - -
148 ORVANANOS Anice 1% 18% 40% 31% 10% 1%
149 SIMONOV Dasha 3% 21% 38% 28% 9% 1%
150 SOLDATOVA Maria 2% 18% 46% 28% 6% -
151 SHUM Elizabeth 17% 44% 31% 8% 1% -
152 CHARALEL Jessica 6% 52% 34% 7% 1% -
153 ZULUETA Catherine 39% 45% 14% 2% - -
154 ROHRING Anna 9% 57% 33% 2% - - -
155 XIANG Emma 4% 25% 38% 24% 8% 1% -
156 PAVE Claire 3% 18% 36% 31% 11% 1% -
157 DUAN Konnie - 2% 14% 33% 34% 15% 2%
158 PARK Leah 44% 42% 13% 2% - - -
159 MOSE Anastasia E. 43% 43% 12% 1% - - -
160 CHANDLER Darcy 18% 41% 31% 9% 1% - -
161 CABALU Alaina 9% 51% 33% 7% 1% - -
162 BEAVER Kaitlyn 7% 37% 38% 16% 3% - -
163 LEVY Avery 45% 43% 11% 1% - - -
164 CLOWES Madison 21% 47% 26% 6% 1% - -
165 HSIEH Sabrina 43% 51% 6% - - - -
166 WALL Sophia 22% 41% 27% 8% 1% - -
167 ZARE Yasmin 46% 45% 9% - - - -
168 WIERENGA Esther 79% 19% 1% - - - -
169 PHILLIPS Hattie 5% 25% 38% 24% 7% 1% -
170 WEINTRAUB Io H. 1% 10% 28% 35% 20% 5% -
170 LIPKOVITZ Rivka 31% 43% 21% 5% - - -
172 HSIEH Rebecca 7% 49% 34% 8% 1% - -
173 CHEN Jasmine 39% 46% 13% 1% - -
174 LI Sophia M. 5% 25% 38% 24% 7% 1% -
175 RODRIGUEZ Akemi 40% 43% 15% 2% - -
176 HUNT Abigail S. 25% 48% 22% 4% - -
176 DUVVURI Oorvi 90% 9% - - - -
178 CHEN Miley 77% 22% 2% - - - -
179 DO Leila 53% 37% 9% 1% - -
180 GAO Zhuning 59% 33% 7% 1% - - -
180 YANICELLI Sloane 30% 44% 21% 4% - - -
182 DATLA Medha 64% 31% 5% - - -
183 SCARLETT Skye 70% 26% 4% - - - -
183 OETZEL Taylor 26% 54% 18% 1% - - -
185 MORENO Francesca 81% 18% 1% - - -
186 WININGER-SIEVE Taylor 76% 21% 2% - - - -
186 ZAMELIS Madelyn 66% 30% 4% - - - -
188 FURST Chloe 10% 38% 39% 11% 1% - -
189 WASSERMAN Isabel 83% 16% 1% - - - -
190 HIMMEL Alexandra 68% 29% 3% - - - -
191 STECKER camille 82% 18% 1% - - - -
192 OWINGS Anna 39% 49% 11% 1% - - -
192 MARTIN Adriana 17% 40% 31% 11% 2% - -
194 GIARD Paige 78% 21% 1% - - - -
194 GHALI Gracie 23% 41% 26% 8% 1% - -
196 ARMAND Sarah 11% 40% 39% 9% 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.