March NAC and Parafencing National Championships

Cadet Women's Épée

Monday, March 6, 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 CAFASSO Natalya - - 2% 13% 39% 37% 10%
2 ZIGALO Elizabeth - - - - 5% 29% 65%
3 RAKHOVSKI Alexandra - - - 4% 19% 43% 34%
3 WANG Ziqi (yoyo) - - 2% 10% 32% 42% 14%
5 HAFEEZ Hania - - - 2% 13% 40% 45%
6 SHIV Avni - 2% 12% 28% 34% 19% 4%
7 YAO Melinda - - 1% 8% 27% 41% 23%
8 BECKMAN Ana - - 1% 7% 25% 41% 25%
9 LEE Olivia - - 1% 9% 30% 41% 19%
10 KORFONTA Jolie - - - - 5% 32% 62%
11 CHISHOLM Phoebe C. - - 3% 16% 40% 35% 7%
12 LEE Natasha - - - 1% 11% 40% 47%
13 BEZUGLAYA Varvara - - - 2% 14% 40% 44%
14 BUSH emma - 1% 6% 24% 42% 27%
15 JAKEL Alysa C. - - 2% 15% 41% 35% 8%
16 POHREBNA Yeva - - 1% 10% 33% 40% 15%
17 ELSTON Sophia - - - 6% 25% 44% 25%
18 KIM Zoe L. - - - 6% 34% 59%
19 LEE REGINA - - - 1% 11% 41% 47%
20 LIN Ariel - 4% 22% 38% 27% 7% -
21 AI Amy - - 1% 10% 33% 40% 16%
22 YANG Alisa - - - 2% 13% 42% 43%
23 CREMONA Viola Maria - 4% 20% 36% 28% 10% 1%
24 SHARMA Sanvi - - 4% 19% 37% 30% 8%
25 PECK Maia A. - 1% 6% 21% 37% 28% 8%
26 KOZLOWSKI Maya M. - 2% 14% 38% 38% 8%
27 MUELLER Emma M. - 1% 11% 31% 39% 17%
28 WITTER Catherine A. - - 1% 7% 28% 43% 22%
29 YOU Emily - - 2% 12% 33% 39% 14%
30 AZMEH nour - - 4% 17% 35% 33% 11%
31 PROFIS Liora - - 3% 17% 39% 32% 9%
32 CARRIER Meredith - 1% 6% 25% 42% 24% 3%
33 NGUYEN Tallulah - - - 1% 8% 35% 56%
34 ZHEREBCHEVSKA Veronika - 2% 13% 33% 37% 14%
35 SPRINGER Sierra - - - 2% 13% 42% 44%
36 ZHANG Victoria R. - - - 2% 12% 41% 45%
37 PRESMAN Aerin 2% 15% 35% 33% 13% 2%
38 ZHU Serene M. - 1% 10% 31% 40% 17%
39 GAJJALA Sharika R. - - - - 4% 27% 69%
40 KIM Jayna - - 1% 5% 23% 43% 29%
41 TOLSMA Chloe (CJ) - - 1% 7% 26% 43% 24%
42 CHANG Chloe 3% 29% 39% 22% 6% 1% -
43 FENG ge - - - 5% 26% 46% 23%
44 YOUNG VIVIAN - - 4% 21% 40% 30% 4%
45 CHI Chelsea - 1% 7% 24% 38% 26% 4%
46 LI Fei - 1% 9% 26% 37% 23% 4%
47 MALLAVARPU saanvi - 2% 10% 28% 36% 20% 4%
48 RANDLEMAN Teresa - - 1% 8% 29% 43% 19%
49 SUN Zeyu 1% 9% 27% 36% 21% 5% -
50 SWENSON Nikita G. - - 2% 12% 32% 38% 16%
51 ZHAN Nancy - 1% 6% 22% 38% 28% 7%
52 SONG Angela - - 2% 10% 27% 39% 22%
53 NIX Reagan - 2% 10% 25% 35% 23% 6%
54 WANG Jessie - 1% 8% 28% 38% 21% 3%
55 SUN Hanya 1% 10% 30% 37% 19% 3%
56 KUMAR Eva - 5% 24% 43% 24% 3%
57 FREEMAN Kate 9% 31% 36% 18% 4% - -
58 WANG Angelina - 2% 12% 31% 36% 17% 3%
59 KOVALCHUK Erika S. 2% 14% 31% 32% 17% 4% -
60 CHUNG Penelope 5% 22% 37% 26% 8% 1% -
61 WATTANAKIT Anda - 2% 13% 34% 36% 13% 1%
62 ZHAO Alina - 7% 25% 36% 24% 7% 1%
63 MENDOZA zoie - 2% 13% 33% 36% 15% 1%
64 RICHARDSON Meredith 2% 12% 32% 35% 16% 3%
65 LIN Elaine - - - 3% 20% 46% 31%
66 BARG Daniella - - 1% 10% 31% 43% 15%
67 SMUK Alexandra S. - - 2% 13% 35% 39% 11%
68 YILMAZ Pinar - 1% 8% 25% 37% 24% 5%
69 WANG Victoria - 4% 20% 41% 27% 7% 1%
70 POTAPENKO Margarita D. - - - 3% 17% 44% 36%
71 FAN Elizabeth - 2% 11% 31% 38% 17% 2%
72 SUICO Kyubi Emmanuelle 20% 40% 29% 9% 1% < 1% -
73 REID Anousheh - - 3% 15% 32% 35% 15%
74 GUAN Isabella 1% 5% 18% 33% 29% 12% 2%
75 BAWA Jenya 5% 30% 40% 21% 5% - -
76 TANG RUIRUI 1% 9% 28% 37% 21% 5% -
77 NEMETH Katherine - - 5% 21% 37% 28% 8%
78 NAZAROVA Sanam 2% 14% 34% 34% 14% 2% -
79 DEPOMMIER Isabelle 3% 16% 33% 31% 14% 3% -
80 QI Julieanne 2% 19% 38% 30% 10% 1% -
81 FURMAN Maria - 2% 11% 31% 39% 18%
82 MOLLINIER Angel 4% 24% 39% 25% 7% 1% -
83 VARAN Kateryna 2% 18% 41% 30% 8% 1% -
84 LEE Camilla - 2% 14% 34% 35% 13% 1%
85 IYER Ishana 2% 13% 32% 34% 15% 3% -
86 LEE Vivienne 2% 12% 29% 33% 19% 5% 1%
87 STERR Isabella M. 1% 6% 20% 33% 27% 11% 2%
88 JIANG Serena 1% 10% 28% 35% 21% 5% -
89 LEE Scarlett - - 2% 12% 36% 37% 13%
89 PATIL Amulya - - 3% 19% 43% 29% 6%
91 KUDRYAVTSEVA Margarita - 3% 16% 36% 32% 11% 1%
92 NOVOJILOV Anastasia - 3% 24% 45% 24% 5% -
93 CAMAMA Tessa 1% 9% 31% 36% 18% 4% -
93 SHANKERDAS Shreeya 16% 36% 31% 13% 3% - -
95 GUJJA Misha - - 2% 12% 35% 39% 12%
96 WANG Zoe - 6% 29% 42% 19% 3% -
97 REKEDA Anna 1% 13% 33% 34% 16% 3% -
98 ZOU You yang (Yoyo) 49% 40% 10% 1% - - -
99 MISHIMA Audrey 4% 22% 36% 27% 9% 1% -
100 WALTER Anna 5% 28% 40% 22% 5% 1% -
101 NEELAM Navya 3% 20% 38% 29% 9% 1% -
101 TAM Connie 29% 42% 22% 6% 1% - -
103 MEYER Rebecca 13% 38% 34% 13% 2% - -
104 ELTERMAN Kate 19% 44% 29% 7% 1% - -
105 WANG Ziqiao (Claire) 2% 17% 42% 31% 8% 1% -
106 BARDIN Kira 21% 42% 28% 8% 1% - -
107 SU Evelyn - 2% 13% 34% 37% 13%
108 LEE Claire 1% 11% 33% 36% 16% 3%
109 WONG Caitlin 11% 36% 37% 14% 2% -
110 BO GENESIS 36% 43% 18% 3% - -
111 SOBUS Yanka - 2% 13% 33% 36% 15% 2%
112 LIANG Jingjing 2% 17% 36% 32% 12% 2% -
112 GUO Luxi - - 5% 21% 39% 28% 6%
114 BROWN Riley 2% 14% 36% 34% 13% 2% -
115 LIU Baihan - 4% 19% 35% 29% 11% 1%
116 FERREIRA DE MELO Adriana - 2% 12% 30% 35% 18% 3%
117 XIONG Angelica - 4% 17% 34% 31% 12% 1%
118 SYKES Elynor - 2% 12% 32% 36% 16% 3%
119 KAMEL Jana 3% 19% 37% 29% 10% 2% -
120 ABUELFUTUH Sama - 3% 17% 35% 32% 11% 1%
121 QIU Emily 1% 6% 24% 37% 25% 7% -
122 PHUKAN Indra - 2% 11% 29% 35% 19% 4%
123 LI Suri - 3% 17% 35% 31% 12% 2%
124 NGUYEN Jolie T. - 3% 17% 34% 31% 13% 2%
125 NGUYEN Ella 6% 29% 40% 21% 5% - -
125 SEREGIN Katya 34% 41% 19% 4% - - -
127 XU Serena - 7% 27% 39% 22% 5% -
128 MARTYNOVA Diana 1% 7% 26% 38% 23% 5%
129 HSIU Elizabeth 1% 6% 26% 39% 24% 5%
130 GEVA Eliana 1% 9% 28% 36% 21% 5% -
130 SMOTRITSKY Liat 4% 22% 38% 27% 8% 1% -
132 LAI Amanda 6% 25% 38% 24% 6% 1% -
132 PANG Ashley 7% 36% 38% 16% 3% - -
134 ZHANG ANGELA 36% 41% 18% 4% - - -
135 JIANG Kehui - 5% 19% 35% 30% 10% -
136 BEAVER Ava - 1% 9% 28% 39% 20% 3%
137 TOFFELMIRE Audrey E. 11% 38% 37% 12% 2% - -
138 FENG Iris 7% 28% 38% 21% 5% 1% -
139 BHATT Anisha 1% 11% 33% 37% 15% 2% -
140 YOU Isabel B. - 5% 21% 37% 27% 8% 1%
141 VAN VACTER Madelynn - 8% 28% 36% 21% 6% 1%
141 LEE Claudia 77% 20% 2% - - - -
143 MIRZA Annoshae 1% 13% 43% 34% 9% 1% -
144 LY Hannah 18% 42% 30% 9% 1% - -
145 MONOVA Lilyana - 5% 23% 40% 25% 6% 1%
146 MARTIN Adriana 11% 33% 35% 17% 4% - -
147 SCOTT Marley 60% 34% 5% - - - -
148 MEYER Rachel 17% 42% 30% 9% 1% -
149 XU Celina 22% 43% 28% 7% 1% -
150 KAUR Manroop 18% 43% 29% 8% 1% -
151 LEE Yeriel 23% 42% 27% 8% 1% -
152 CHIRASHNYA Mika 18% 40% 30% 10% 1% -
153 MCKENNA Analise 33% 44% 19% 4% - -
154 BALAKRISHNAN Trisha 1% 10% 30% 35% 19% 4% -
154 ZHANG Helen 46% 42% 11% 1% - - -
156 CUEVA Viola 17% 40% 31% 11% 2% - -
156 MA Sophie 22% 42% 27% 8% 1% - -
158 LEE Valerie 19% 58% 21% 2% - - -
158 MYRAH Vivienne 1% 8% 27% 38% 21% 5% -
160 PAN Angela 13% 35% 34% 15% 3% - -
161 MUN Brianna K. - 1% 6% 21% 36% 29% 8%
162 TANG Elaine 11% 33% 36% 17% 4% - -
163 HAN Rigi Yoyo 51% 38% 10% 1% - - -
164 ILYAS Ayah 14% 45% 32% 8% 1% - -
165 NELSON Grace E. 3% 21% 38% 28% 8% 1% -
165 SCHMITT Harper 1% 12% 35% 35% 14% 2% -
167 KUMAR Anusha 2% 13% 30% 33% 18% 5% -
168 CHUANG Ramona 11% 42% 34% 11% 2% - -
169 YARLAGEDDA Nitya 47% 39% 12% 2% - - -
170 YOUSSEF Caroline 28% 44% 23% 5% 1% - -
171 CHENG Katherine 17% 41% 32% 9% 1% -
172 KALGAONKAR Arohi 13% 35% 34% 14% 3% - -
173 LI Clara 5% 31% 44% 17% 3% - -
174 DAVIS Violet 75% 23% 2% - - - -
175 AIRES Julia 10% 30% 34% 19% 6% 1% -
176 ZHAO Yanning 29% 43% 22% 5% 1% - -
177 HU Chloe 53% 38% 8% 1% - - -
178 NAIR Supriya 3% 19% 35% 30% 12% 2% -
179 WHITELAW Shyann 18% 40% 30% 10% 2% - -
180 LIANG Angela 58% 34% 7% 1% - - -
180 GAN Shelby 20% 49% 26% 5% - - -
180 KORATALA Aiswarya 56% 36% 7% 1% - - -
183 IRFAN Shifa 65% 30% 4% - - - -
184 SALAZAR Emma 34% 44% 18% 3% - - -
185 GUSKA Jenn 55% 36% 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.