October NAC

Div I Women's Foil

Sunday, October 6, 2024 at 8:00 AM

Atlantic City Convention Center - Atlantic City, NJ, 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 RHODES Zander - - - - 1% 23% 75%
2 STUTCHBURY Carolina J. - - - 1% 14% 46% 40%
3 LIU Jaelyn A. - - - 1% 11% 48% 40%
3 ZHANG Yunjia - - - - 5% 32% 62%
5 PETROVA Kristina - - 1% 10% 31% 41% 17%
6 HAYES Nadia - - 1% 9% 27% 40% 23%
7 WEINTRAUB Maia M. - - - - < 1% 8% 92%
8 GAYDOS Sofia C. - - 3% 17% 44% 35%
9 KONG Chin-Yi - - 1% 9% 28% 40% 21%
10 BREKER Anika - - 1% 11% 37% 43% 8%
11 CHEN Jia P. - - 1% 6% 25% 43% 25%
12 SONG Yuqiao Aprille - 2% 12% 30% 34% 18% 4%
13 JING Emily - - 1% 7% 36% 57%
14 LUNG Katerina - - 1% 6% 24% 43% 27%
15 ZHAO Sophie L. - 4% 16% 31% 31% 15% 3%
16 SENIC Adeline - - 3% 13% 31% 36% 16%
17 CHENG Evelyn - - - 1% 13% 44% 42%
17 KOENIG Charlotte R. - - - 2% 13% 45% 39%
19 LUO Ziyue - 1% 7% 21% 35% 28% 9%
20 PARTRIDGE Morgan K. - - - 2% 15% 42% 41%
21 FEDELI Caterina S. - - 1% 10% 32% 42% 15%
22 CHUSID Mikayla - - - 4% 21% 45% 29%
22 KLINE Melissa C. - 1% 7% 25% 40% 23% 4%
24 PEVZNER Victoria - - 2% 14% 46% 32% 6%
25 NOVOSELTSEVA Anna V. - - - 1% 7% 37% 56%
25 NISSINOFF Alexandra - 1% 8% 26% 38% 23% 4%
27 TAN Kaitlyn N. - - 1% 10% 30% 41% 18%
28 CALISE Ella - - 2% 15% 40% 35% 8%
29 LEE Alina - - - 3% 18% 45% 34%
30 SUN Ruoxi - 1% 7% 23% 36% 26% 7%
31 KOKES Aurora - 2% 11% 31% 38% 16% 2%
32 ORVANANOS Anice 1% 6% 25% 39% 24% 5% -
33 CONWAY Josephina (JoJo) J. - - - 1% 12% 41% 46%
34 GEBALA Gabrielle Grace A. - - - 2% 14% 41% 42%
35 YU Lauren C. 1% 5% 21% 34% 27% 11% 2%
36 CHEN Allison V. - - 2% 13% 38% 43% 3%
37 LESLIE Ryanne T. - - 1% 5% 22% 43% 29%
38 GU Maggie Runlin 2% 15% 34% 32% 14% 3% -
39 DEVORE Delphine P. - - - - 5% 31% 63%
40 WANDJI Anais - 6% 22% 35% 26% 9% 1%
41 XUE Alanna L. - 1% 9% 26% 35% 22% 5%
42 CHEN Renee - 1% 5% 20% 37% 30% 7%
43 ZHENG Vivian - - - 1% 13% 50% 36%
44 KIM Rachael - - 1% 8% 29% 43% 19%
45 SUN Emily 3% 19% 39% 30% 8% 1%
46 LOCKE Savannah - 1% 8% 26% 38% 23% 4%
47 ROZPEDOWSKI Claire 3% 16% 35% 32% 12% 2% -
48 LIU YiYang 1% 12% 33% 36% 16% 3% -
49 DE LA CRUZ Eden - 2% 11% 29% 36% 18% 3%
50 BABIAC Julia 10% 34% 37% 15% 3% - -
51 SHEN Emilia 1% 7% 23% 34% 25% 9% 1%
52 ANDREYENKA Hanna - - - 4% 21% 44% 30%
53 GOOR Viviene E. - 2% 11% 33% 38% 14% 1%
54 LEE Lavender - - 1% 10% 32% 44% 13%
55 LI Eleanor 3% 16% 36% 33% 11% 1% -
56 CHOW Annabelle 1% 10% 28% 34% 20% 5% 1%
57 CHO Rebecca H. - 1% 7% 27% 45% 20%
58 CHO Emily (Euran) 2% 14% 31% 32% 17% 4% -
59 JING Alexandra - - 1% 6% 26% 45% 22%
60 CHO Cameron S. - 3% 14% 31% 33% 16% 3%
61 WANG YIRAN - 2% 11% 29% 36% 19% 3%
62 YANG Iris - 3% 13% 30% 34% 17% 3%
63 MINARIK Natalie M. - - - 1% 12% 42% 45%
64 GRIFFIN Emma G. - - < 1% 4% 22% 48% 26%
65 MASSIALAS Sabrina C. - - - - - 11% 88%
66 LIU Joy Zhaoyi - - 1% 6% 24% 45% 24%
67 SERBAN Samantha M. - 1% 9% 34% 44% 11%
68 LIN Zhi Tong - 2% 14% 37% 35% 12% 1%
69 HORSLEY Asherah - - - 5% 26% 48% 21%
70 DAVIS Bonnie Z. - 2% 15% 37% 34% 11% 1%
70 YANG Emma - 4% 19% 36% 31% 9% 1%
72 JO Mia C. - - 2% 14% 39% 36% 9%
73 KIM Katherine - - 1% 7% 29% 46% 17%
74 YANG Audrey 1% 8% 25% 37% 24% 5% -
75 DOROSHKEVICH Taisiia 2% 12% 33% 35% 15% 3% -
76 TANG Melody Fujiao 15% 39% 32% 11% 2% - -
77 SHENG Chuxi 2% 15% 34% 33% 13% 2% -
78 HOOSHI Erica S. - - - 2% 14% 40% 44%
79 HO Brianna W. - 1% 5% 19% 35% 31% 9%
80 AMR HOSSNY Sara - - 5% 23% 44% 24% 4%
81 RANDOLPH Piper - 2% 14% 31% 33% 17% 3%
81 SEO IRENE Y. - 3% 15% 34% 33% 13% 2%
81 ERTUN Lal 1% 11% 30% 36% 18% 3% -
84 KORABLINA Aleksandra - - 2% 13% 33% 37% 14%
85 SUN Chloe - 5% 19% 36% 30% 9% 1%
86 OLIVEIRA Lavinia M. 20% 43% 28% 8% 1% -
87 FIELD Julianna 17% 43% 31% 8% 1% -
88 PARK Rowan M. - - 3% 13% 32% 37% 15%
89 WANG CAROL 10% 33% 36% 17% 3% - -
90 NOTT Adrienne (Adi) M. - - - 3% 23% 50% 24%
91 REN Kayley 6% 24% 37% 25% 7% 1% -
92 YURKOVA Mariia 3% 17% 35% 32% 12% 2% -
93 SHIM Grace J. 2% 13% 31% 35% 16% 3% -
94 WANG YiXi - 5% 22% 40% 28% 4% -
95 STRUGAR Steliana 12% 37% 36% 13% 2% - -
96 ZHANG Eunice 9% 32% 37% 18% 4% - -
96 CHUN Adelle Ha-Eune 16% 37% 32% 13% 2% - -
98 OUYANG Bridgette Z. - - 2% 13% 36% 40% 9%
99 SHEN Lydia - 1% 5% 17% 33% 32% 13%
100 DIMAS Constanca 4% 23% 39% 26% 7% 1% -
101 WANG Jasmine 6% 25% 38% 24% 6% 1% -
102 MCSHERRY Ava 1% 14% 39% 33% 11% 1% -
103 ADAMS KIM Natalie 1% 7% 22% 33% 26% 10% 2%
103 PEVZNER Nicole 2% 15% 34% 33% 14% 2% -
103 ANDREYENKA Yana - - - 4% 26% 58% 12%
103 FENG Grace 4% 26% 42% 24% 4% - -
107 JIA Amy - 1% 7% 25% 39% 24% 5%
108 WU Kyra 1% 13% 32% 33% 17% 4% -
109 MORADI Raiyan N. 8% 27% 36% 22% 6% 1% -
110 SAIFEE Lamya 15% 44% 30% 9% 1% - -
111 ZHANG Alina C. - 1% 5% 22% 42% 29% 1%
112 DAI Zizhuo (Zizi) 6% 24% 35% 24% 9% 2% -
112 WHELAN Amelia 33% 43% 19% 4% - - -
114 LEUNG Mei Hang (Danise) - 4% 18% 38% 33% 7% -
115 YAO Ada 2% 11% 30% 36% 19% 3% -
116 EYER Hailey M. - - 3% 15% 33% 35% 14%
117 YU Jane 33% 44% 19% 4% - - -
118 DIMATULAC Elise Ann 23% 41% 27% 8% 1% - -
119 ZHANG Soleil C. 6% 30% 41% 20% 2% - -
120 CHEW Alexis T. 2% 12% 31% 35% 17% 4% -
121 HAFEZ Tahiyah 12% 36% 37% 14% 2% - -
122 CHEN Chloe I. - 5% 23% 39% 26% 6% -
122 FUNG Vera 2% 16% 36% 32% 12% 2% -
124 HAO Danica 3% 16% 34% 31% 13% 2% -
125 LIU Angel(Daying) 2% 14% 35% 36% 12% 1% -
125 JOO Natalie 7% 27% 36% 22% 6% 1% -
127 HARRIS Julia 25% 42% 25% 7% 1% - -
128 CEPERO Rosabel - 4% 16% 32% 31% 14% 3%
129 OYMANN Renee Louisa - 1% 10% 32% 39% 16% 2%
130 LAI Sophia 2% 12% 32% 35% 16% 3% -
131 SANTOS Annika Beatrice I. 7% 27% 37% 22% 6% 1% -
132 KIM Rachel 1% 12% 34% 36% 14% 2%
133 JANG Kimberley - 3% 15% 32% 32% 15% 3%
134 SHMAY Anastasia 15% 39% 34% 12% 2% - -
135 PAULUS Sloane E. 2% 16% 37% 33% 11% 1% -
136 PAULUS Isabella 34% 44% 19% 3% - - -
136 SWANSON Alexa 17% 40% 31% 10% 1% - -
138 DENG Melissa 4% 23% 42% 27% 4% - -
138 COJOCARI Maria 3% 23% 38% 26% 8% 1% -
140 MARKOVSKY Nina 17% 37% 31% 12% 2% - -
141 WANG SIQI 2% 15% 32% 33% 15% 3% -
142 CASCONE Emily 14% 37% 33% 13% 3% - -
143 COOPER Piper W. 2% 15% 33% 33% 14% 2% -
143 DONG Angela 27% 42% 24% 6% 1% - -
145 DEBACK Greta I. - 3% 16% 35% 33% 12% 2%
146 BAE Yooju 8% 32% 38% 18% 4% - -
147 ZHENG Julie 4% 19% 35% 30% 11% 1% -
148 XIE Lillian 11% 37% 36% 14% 2% - -
149 SHA Yi Ling 7% 27% 37% 23% 6% 1% -
149 KO Claire 10% 34% 37% 16% 2% - -
151 FENG Audrey 22% 42% 28% 8% 1% - -
152 LI Han (Helina) 10% 35% 38% 15% 2% - -
153 KAPRAN Anastasia 6% 27% 39% 22% 6% 1% -
154 WYNN Kylie 22% 40% 28% 9% 1% - -
155 RENTON Samantha - 3% 15% 35% 35% 12% -
156 BIODROWICZ Julia 1% 9% 30% 39% 18% 3% -
157 GREEN Marisa 28% 42% 23% 6% 1% - -
158 LI Shuang 5% 28% 42% 21% 4% -
159 MI Aileen - 6% 26% 44% 21% 2%
160 HU Jenna 36% 44% 17% 3% - -
161 HU Felice 26% 43% 24% 6% 1% - -
162 ROY Layla 15% 39% 34% 11% 1% - -
163 RICHARD Clara 28% 44% 23% 5% - - -
164 FUNG Emma 1% 8% 28% 40% 21% 3% -
165 HAN Crystal 18% 40% 31% 9% 1% - -
165 ASCHETTINO Aurora 5% 28% 39% 22% 5% 1% -
167 LUO Sandra J. - 2% 11% 31% 38% 16% 2%
168 LI Yuhe 23% 41% 27% 8% 1% - -
168 DEL CURA Jara 15% 37% 32% 12% 2% - -
170 OH Ceana 5% 25% 37% 24% 8% 1% -
170 AADHI Hansika 16% 40% 32% 11% 1% - -
172 KIM Sydney 22% 48% 24% 5% - - -
173 CASTANEDA Keira 6% 25% 37% 24% 7% 1% -
174 MANIKTALA Prisha 25% 40% 26% 8% 1% - -
174 SHMUKLER Maria 43% 39% 15% 3% - - -
176 TROXEL Sylvie A. 12% 35% 35% 15% 3% - -
177 VIANNA Gabriella 1% 6% 24% 36% 25% 7% 1%
178 LEE Jiahn (Lana) 1% 10% 29% 35% 19% 5% -
179 MEI Sarah 2% 13% 33% 34% 16% 3% -
180 BEAVER Ava 24% 43% 26% 7% 1% - -
181 FIELD Elizabeth 55% 36% 9% 1% - - -
182 BROWN Lola 9% 31% 36% 19% 5% - -
183 LIU Enjia Sherry liu 13% 35% 34% 15% 3% - -
184 RICHARD Dominique 37% 42% 17% 3% - - -
185 LENK Sophie 27% 44% 23% 5% - -
186 XIE Su 48% 40% 11% 1% - - -
187 ZELDIN Nadia 9% 30% 37% 20% 5% - -
188 LEVY Avery 48% 38% 12% 2% - - -
188 DU Hannah 7% 25% 36% 24% 8% 1% -
188 MEYER Claudia 24% 41% 26% 8% 1% - -
188 WU Julianna Y. 3% 18% 37% 30% 10% 1% -
192 BASILE Gianna 45% 43% 11% 1% - - -
192 ZOU Ella 6% 28% 40% 22% 5% - -
194 MUSTO Isabella 45% 41% 12% 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.