March NAC and Parafencing National Championships

Y-14 Women's Épée

Sunday, March 5, 2023 at 8:00 AM

Fort Worth, TX, 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 SONG Angela - - - - 4% 29% 67%
2 WANG Ziqi (yoyo) - - 1% 5% 21% 42% 31%
3 LEE REGINA - - - - 5% 30% 65%
3 PHUKAN Indra - 1% 6% 25% 43% 26%
5 SPRINGER Sierra - - - 1% 11% 40% 47%
6 LEE Scarlett - - 1% 6% 23% 42% 29%
7 ZHAO Alina - 2% 10% 29% 37% 20% 3%
8 NAZAROVA Sanam - 2% 16% 38% 32% 11% 1%
9 WATTANAKIT Anda - - 1% 5% 21% 41% 31%
10 AI Amy - - - 1% 9% 36% 53%
11 NIX Reagan - 1% 4% 15% 32% 34% 14%
12 CHISHOLM Phoebe C. - - - 4% 22% 45% 29%
13 AZMEH nour - - - 1% 7% 38% 54%
14 ZHU Serene M. - - - 2% 13% 42% 43%
14 TOLSMA Chloe (CJ) - - - - 5% 30% 65%
16 BECKMAN Ana - - - 2% 16% 43% 38%
17 LEE Olivia - - - 2% 11% 37% 50%
18 QI Julieanne - 1% 6% 27% 42% 22% 2%
19 RAKHOVSKI Alexandra - - 1% 8% 29% 41% 20%
20 WANG Angelina - - 1% 8% 30% 46% 15%
21 LEE Claire - - 2% 11% 35% 40% 12%
22 ZHAN Nancy - - 3% 13% 32% 37% 15%
23 GUO Luxi - - 1% 8% 26% 41% 23%
24 CAFASSO Natalya - - - 1% 10% 39% 49%
25 JAKEL Alysa C. - - 2% 14% 45% 39%
26 RICHARDSON Meredith - 2% 11% 31% 40% 17%
27 PROFIS Liora - - - 2% 14% 41% 43%
28 JORDAN Zoe - 5% 20% 34% 28% 10% 1%
29 QIU Emily - - 2% 15% 37% 35% 11%
30 MARTYNOVA Diana - - 4% 17% 36% 33% 9%
31 SMUK Alexandra S. - - 2% 11% 32% 42% 13%
32 WITTER Catherine A. - - < 1% 1% 8% 36% 56%
33 SU Evelyn - - - 5% 23% 44% 28%
34 CARRIER Meredith - - 2% 10% 29% 40% 20%
35 SYKES Elynor - - 3% 13% 33% 37% 14%
36 YAO Melinda - - - 1% 7% 34% 59%
37 DEPOMMIER Isabelle - - 3% 14% 37% 39% 7%
38 CREMONA Viola Maria - - 4% 22% 41% 28% 6%
39 BUSH emma - - - 1% 10% 37% 52%
40 NGUYEN Ashley L. - 1% 5% 21% 41% 27% 5%
41 WANG Jessie - - 4% 18% 38% 33% 7%
42 CAMAMA Tessa - 1% 9% 29% 39% 20% 2%
43 VARAN Kateryna 6% 23% 36% 26% 8% 1% -
44 MENDOZA zoie - 1% 9% 26% 37% 23% 5%
44 POHREBNA Yeva - - 2% 15% 36% 35% 11%
46 YOUNG VIVIAN - - 2% 13% 37% 37% 11%
47 SUN Zeyu - 2% 12% 30% 36% 18% 2%
48 YILMAZ Pinar - - 1% 10% 31% 41% 17%
49 KOZLOWSKI Maya M. - - 1% 5% 21% 42% 32%
50 STERR Isabella M. - 2% 11% 30% 36% 18% 3%
51 WANG Victoria - 1% 8% 24% 36% 25% 6%
52 WANG Zoe - - 2% 16% 41% 35% 6%
53 NEMETH Katherine - - 4% 21% 39% 29% 7%
54 JIANG Serena - 2% 13% 32% 36% 15% 2%
55 FRANGER Macy 1% 7% 22% 35% 26% 9% 1%
56 LEE Gloria - 1% 8% 28% 40% 20% 3%
57 TANG RUIRUI - 4% 17% 34% 32% 12% 1%
58 SHARMA Sanvi - - 2% 13% 42% 43%
59 BO GENESIS 4% 23% 39% 26% 6% 1%
60 SOBUS Yanka - 1% 6% 21% 36% 29% 7%
61 NEELAM Navya - 2% 10% 29% 37% 20% 3%
62 KANASKAR Ila 1% 11% 33% 36% 16% 3% -
63 WONG Caitlin 2% 16% 36% 32% 12% 2% -
64 BURICEA Ada 1% 7% 23% 35% 25% 8% 1%
65 SHIV Avni - - - 5% 23% 43% 29%
65 MALLAVARPU saanvi - - 1% 5% 22% 44% 29%
67 SMOTRITSKY Liat - 1% 8% 34% 40% 16% 2%
68 FERREIRA DE MELO Adriana - - 1% 7% 27% 44% 22%
69 IYER Ishana - 3% 16% 35% 33% 12% 1%
70 ABUELFUTUH Sama - - 4% 19% 39% 32% 6%
71 NGUYEN Jolie T. - 2% 10% 25% 34% 22% 6%
71 MYRAH Vivienne - - 4% 16% 35% 35% 10%
73 HSIU Elizabeth - 1% 7% 24% 38% 25% 6%
74 PRESMAN Aerin - 1% 10% 32% 43% 15%
75 STERN Savannah 8% 32% 40% 18% 2% -
76 KUDRYAVTSEVA Margarita - 4% 16% 33% 32% 13% 2%
76 JAMES Ashley 2% 12% 30% 34% 18% 4% -
78 VAN VACTER Madelynn - 1% 9% 29% 38% 19% 3%
79 LEE Camilla - - 4% 20% 39% 30% 8%
80 LEE Vivienne - - 1% 8% 25% 40% 26%
81 XU Serena 1% 10% 29% 36% 20% 4% -
82 HOAGLAND Sally 3% 21% 36% 28% 10% 2% -
83 BROWN Riley 2% 13% 28% 32% 19% 6% 1%
84 MEYER Rachel - 3% 15% 32% 34% 15% 2%
85 MCKENNA Analise 2% 11% 29% 34% 19% 5% -
85 WANG Ziqiao (Claire) 1% 7% 25% 37% 24% 5% -
87 QIAN Irene - 1% 7% 25% 40% 25% 3%
88 MIRZA Annoshae 6% 25% 35% 24% 8% 1% -
89 JUN Bomie 4% 21% 37% 28% 9% 1%
90 CHEN Alina 11% 37% 37% 14% 2% -
91 CHI Chelsea - - 2% 12% 34% 40% 12%
92 LEE Yeriel - 4% 18% 34% 31% 12% 1%
93 MONOVA Lilyana - 2% 13% 38% 34% 12% 1%
93 BALAKRISHNAN Trisha 1% 6% 19% 32% 28% 13% 2%
95 BHATT Anisha 1% 7% 22% 34% 26% 9% 1%
95 TISMENSKY Avital 1% 12% 34% 36% 15% 2% -
97 LIN Laura 7% 27% 37% 22% 6% 1% -
97 CHUNG Penelope 1% 11% 31% 36% 18% 3% -
99 LISCUM Vivian - 4% 16% 32% 32% 14% 2%
99 HAN Rita Yaya 19% 50% 25% 5% - - -
101 LI Alice 3% 19% 36% 29% 11% 2% -
102 HU Chloe 7% 47% 38% 8% 1% - -
103 PATIL Amulya - 1% 6% 27% 39% 23% 5%
104 WALTER Anna 1% 9% 27% 36% 22% 5% -
105 KIM Emily 11% 32% 35% 17% 4% - -
106 MEYER Rebecca 1% 7% 26% 39% 23% 4% -
107 KOVALCHUK Erika S. - 5% 21% 36% 28% 9% 1%
108 FREEMAN Kate 1% 11% 29% 34% 20% 5% -
109 DHAIYA Tanya 31% 43% 21% 4% - - -
110 COLINA UZCÁTEGUI gabriela 1% 5% 19% 33% 29% 12% 2%
111 KUMAR Eva - - 3% 21% 49% 27%
112 BAWA Jenya 1% 10% 38% 36% 13% 2% -
113 LAI Amanda 3% 16% 31% 30% 15% 4% -
114 LIANG Jingjing - 4% 18% 36% 31% 10% 1%
115 GUAN Isabella - 2% 11% 30% 36% 19% 3%
116 LIN Ariel - - 2% 14% 38% 37% 9%
117 SCHMITT Harper - 4% 18% 37% 30% 10% 1%
118 SEREGIN Katya 19% 46% 28% 6% 1% - -
119 XU Celina 5% 26% 39% 23% 6% 1% -
120 HALE Avery 5% 23% 38% 25% 7% 1% -
121 MARTINEZ Christina 6% 24% 36% 24% 8% 1% -
122 TOFFELMIRE Audrey E. 2% 16% 35% 32% 13% 2% -
123 KROPP Anne 3% 19% 37% 30% 10% 1%
124 SUN Hanya - 1% 7% 25% 38% 24% 5%
125 WEI Sherry 8% 28% 36% 22% 6% 1% -
126 ILYAS Ayah 8% 32% 42% 16% 2% - -
127 BI Michelle 16% 36% 32% 13% 3% - -
128 GUSKA Jenn 34% 44% 19% 3% - -
129 KUMAR Anusha - - 1% 9% 29% 41% 19%
130 YERIAN Ayda 1% 8% 25% 36% 24% 6% -
131 PANG Ashley 8% 29% 36% 21% 6% 1% -
132 MCQUEEN Morgan 1% 9% 27% 35% 21% 5% -
133 KALGAONKAR Arohi 1% 8% 26% 37% 23% 5% -
134 BEATIE Isabella M. - 5% 22% 38% 28% 6% -
135 WANG Emma 14% 36% 33% 14% 3% - -
136 SUICO Kyubi Emmanuelle 3% 23% 38% 26% 8% 1% -
137 KAUR Manroop 3% 16% 32% 30% 14% 3% -
138 SOIN Kaira 3% 26% 47% 21% 3% - -
139 PETROFF Eva - 4% 21% 40% 27% 7% -
140 TAM Connie 1% 9% 27% 35% 22% 6% -
141 PAN Angela 2% 14% 36% 35% 12% 1%
142 MOLLINIER Angel 1% 12% 34% 38% 13% 1%
142 MA Sophie 5% 23% 38% 26% 8% 1%
144 TISHKOVA-ROBERTS Daria 36% 43% 18% 3% - -
145 NOVOJILOV Anastasia - 3% 15% 32% 33% 15% 2%
146 GANSER Nicole - - 6% 29% 41% 21% 3%
146 ZHAO Yanning 5% 23% 38% 26% 7% 1% -
148 CHIRASHNYA Mika - 6% 23% 36% 25% 8% 1%
149 MISHIMA Audrey - 3% 13% 31% 34% 17% 2%
150 WANG Cecilia 17% 38% 31% 12% 2% - -
150 LY Hannah 22% 42% 27% 8% 1% - -
152 JEYOON Lauren 29% 43% 22% 5% - - -
152 ZHU Riley 3% 17% 35% 31% 13% 2% -
154 ZOU You yang (Yoyo) 16% 38% 32% 12% 2% - -
155 LEE Valerie 26% 43% 24% 6% 1% - -
155 ZHANG Helen 11% 37% 37% 14% 2% - -
157 CHENG Katherine - 8% 29% 38% 21% 4% -
158 CUEVA Viola 1% 10% 29% 36% 20% 4% -
159 VIOLETTE Lih-Ann 22% 40% 28% 9% 1% - -
160 VALDEZ Emma 14% 39% 33% 12% 2% - -
160 DU Andria 41% 44% 14% 1% - - -
162 KAMEL Jana 2% 14% 32% 32% 16% 3% -
162 ELTERMAN Kate 9% 32% 37% 17% 4% - -
164 WU Madisen 20% 38% 29% 11% 2% - -
165 HUANG Selina 45% 45% 9% 1% - - -
166 STEMPKOVSKA Dina 10% 32% 37% 18% 4% - -
167 PARK elli 29% 42% 23% 6% 1% - -
168 YARLAGEDDA Nitya 15% 39% 32% 11% 2% - -
169 WORKNEH Lulit 9% 33% 38% 17% 3% -
170 HLYNKA Marta 14% 33% 32% 16% 4% 1% -
171 YU Eva 2% 26% 41% 24% 6% 1% -
172 ZHAN Clare 29% 41% 23% 6% 1% - -
173 AIRES Julia 1% 6% 21% 35% 27% 9% 1%
173 SUN Karolyn 1% 8% 34% 38% 16% 3% -
175 CHUANG Ramona - 6% 27% 40% 22% 5% -
176 LI Xiang (Shining) 49% 40% 10% 1% - - -
177 YANG Arianna 11% 36% 37% 13% 2% - -
178 KURUPATH Durga 27% 46% 23% 4% - - -
179 LIANG Angela 17% 40% 31% 11% 2% - -
180 WHITELAW Shyann 7% 26% 36% 23% 7% 1% -
180 AWALEGAONKAR Saina 18% 38% 30% 11% 2% - -
182 SHAYAKHMETOVA Suzanna 18% 38% 30% 11% 2% - -
183 FLITMAN Gabrielle 9% 29% 36% 21% 6% 1% -
183 KELLEY Elise 25% 42% 25% 7% 1% - -
183 HOLDEN Helena 24% 46% 25% 4% - - -
186 SALAZAR Emma 15% 40% 32% 11% 2% - -
187 GAN Shelby 39% 42% 16% 3% - - -
188 YOUSSEF Caroline 10% 34% 37% 15% 3% - -
189 WU Jessica 1% 11% 30% 35% 18% 4% -
190 WANG Aria 9% 34% 37% 17% 3% - -
191 RANDOLPH Bethany 75% 23% 2% - - - -
192 FISCHBEIN Quinley 14% 36% 33% 14% 3% - -
193 LEE Claudia 54% 36% 9% 1% - - -
194 XU Jessica 8% 28% 35% 21% 6% 1% -
195 NGUYEN Ella 5% 28% 45% 19% 3% - -
196 KANDALA Aanya 35% 42% 19% 4% - -
197 SCOTT Marley 38% 44% 15% 2% - - -
198 XU Chenyu 8% 28% 36% 22% 6% 1% -
199 DESANTIS-IBANEZ Elena 5% 24% 37% 25% 8% 1% -
199 LEE Adelynn 30% 51% 17% 2% - - -
201 FENG Iris 3% 14% 30% 31% 17% 5% 1%
202 DAVIS Violet 47% 39% 12% 2% - - -
203 ANEZIOKORO Zahra 18% 41% 30% 9% 1% - -
204 TALANDZEVICIUS Sophia 7% 28% 38% 22% 5% - -
204 TISMENSKY Abigail 18% 40% 30% 10% 2% - -
206 KELLEY Kelleah 30% 45% 21% 4% - - -
206 BUNCH Halle 82% 17% 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.