October NAC

Div I Women's Épée

Friday, October 7, 2022 at 8:00 AM

Minneapolis, MN, 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 WASHINGTON Isis - - 1% 5% 23% 43% 29%
2 LIU Charlene (Kai) - - - - 6% 33% 61%
3 GUZZI VINCENTI Margherita A. - - - 1% 6% 31% 63%
3 HUSISIAN Hadley N. - - - 1% 6% 31% 62%
5 FALLON Kyle R. - 1% 9% 25% 36% 23% 6%
6 WATRALL Christina - - 1% 10% 32% 42% 15%
7 PIRKOWSKI Amanda L. - - - 2% 12% 40% 46%
8 KETKAR Ketki - - - 3% 15% 40% 42%
9 NIXON Catherine (Kasia) D. - - - 1% 6% 33% 61%
10 PARK Faith K. - - - 2% 16% 43% 39%
11 HURLEY Courtney L. - - - 1% 10% 38% 50%
12 OXENREIDER Tierna A. - - 3% 16% 38% 35% 8%
13 WANG Elizabeth - 5% 19% 34% 29% 11% 1%
14 LIN Jessica Y. - - 3% 19% 43% 35%
15 CHIN Isabella - 1% 7% 28% 43% 20% 2%
16 XIAO Ruien - 1% 5% 20% 37% 30% 7%
17 LEE Sumin - 1% 6% 20% 36% 29% 8%
18 BASSA Francesca A. - - - 1% 10% 37% 52%
19 KHROL Jaclyn - - 3% 15% 35% 35% 11%
20 NING Emma - 4% 16% 33% 33% 13%
21 DING Jiahe (Heidi) - - 1% 10% 32% 41% 16%
22 DROVETSKY Alexandra M. - - 2% 12% 35% 41% 10%
23 MACHULSKY Leehi - - 1% 5% 20% 41% 33%
24 KETKAR Mallika - 4% 17% 35% 32% 11% 1%
25 KHAMIS Yasmine A. - - 3% 16% 41% 41%
26 CHU Audrey - 10% 33% 38% 17% 2%
27 MAZUR Yeva - 4% 21% 39% 29% 7%
28 LEE Natasha 8% 31% 38% 19% 4% -
29 MEHROTRA Anya 1% 7% 24% 36% 25% 7%
30 JAKEL Sophia N. - 2% 13% 35% 38% 11%
31 YIN Julia - 5% 21% 38% 27% 8% 1%
32 CHORNIY Kateryna - - 1% 7% 25% 41% 26%
33 YAO Melinda 6% 25% 36% 24% 8% 1% < 1%
34 HOLMES Katharine (Kat) W. - - - - 3% 27% 70%
35 HURLEY Kelley A. - - - 1% 9% 37% 54%
36 MILLETTE Marie Frederique - - 2% 15% 39% 36% 7%
37 GAJJALA Sharika R. - 2% 13% 32% 36% 15% 2%
38 XUAN Nicole J. - 4% 19% 40% 30% 8% -
39 VERRET Alexanne - - 4% 17% 37% 33% 9%
40 JOYCE Michaela - - - 2% 15% 43% 39%
41 NIXON Caroline (Karolina) L. - - - 4% 19% 43% 35%
42 KHARCHYNA Polina - 1% 5% 21% 39% 30% 4%
43 SMOTRITSKY Mia 2% 14% 34% 34% 13% 2% -
44 GANDHI Sedna S. - - 3% 15% 33% 35% 14%
45 GAVRIELKO Nicole - - 2% 10% 30% 40% 17%
46 MONTOYA Kimberlee C. - - 5% 21% 40% 28% 6%
47 ALEXANDROV Katherine S. 7% 28% 36% 22% 6% 1%
48 ZHANG Victoria R. 4% 19% 33% 29% 13% 2%
49 DOROSHKEVICH Victoriia 2% 14% 33% 34% 15% 2%
50 TEMIRYAEV Anna M. 1% 8% 27% 36% 22% 6% -
51 LEUNG Natalie - 1% 8% 28% 41% 20% 2%
52 TYLER Syd - 3% 17% 35% 32% 12% 1%
53 KOWALSKY Rachel A. - 4% 17% 33% 31% 13% 2%
54 KIM Zoe L. 1% 12% 33% 36% 15% 2% -
55 RAUSCH Ariana (Ari) M. - - 2% 14% 38% 36% 10%
56 BEITTEL Chloe F. - 1% 6% 24% 39% 26% 4%
57 SHEFFIELD Lake Mawu - - 3% 17% 40% 34% 5%
58 PAPADAKIS Lily 2% 13% 34% 34% 14% 2% -
59 CAPELLUA Mariasole - 6% 23% 39% 26% 6% -
60 WU Amelia 1% 9% 26% 36% 23% 5%
60 DAMRATOSKI Anna Z. 12% 33% 34% 17% 4% -
62 NGUYEN Kira 2% 14% 33% 34% 15% 2%
63 SMITH Grace L. - 5% 21% 36% 28% 9% 1%
64 MAO Amy - 4% 17% 33% 31% 13% 2%
65 NGUYEN Tallulah - 2% 12% 28% 34% 20% 4%
66 KUZNETSOV Victoria - 2% 13% 32% 35% 16% 2%
67 LAN Alice S. 3% 17% 36% 31% 11% 2% -
68 BALAKRISHNAN Monica S. - 3% 14% 33% 34% 15% 1%
69 LIN Katie Y. - 1% 7% 23% 38% 26% 6%
70 LEE Michelle J. - 4% 17% 34% 33% 12%
71 LOMBARD Ella - 4% 18% 35% 31% 11%
72 GRADY Miriam A. - - - 3% 19% 44% 33%
73 GU Sarah - - 2% 10% 28% 39% 20%
74 LURYE Sarah - - 4% 18% 39% 32% 8%
75 DUNLAP-SMITH Azaline I. - 1% 9% 28% 38% 21% 3%
76 PADHYE Tanishka 2% 15% 32% 32% 15% 3% -
77 MCCUTCHEN Lauren (Lulu) 1% 6% 21% 35% 27% 9% 1%
78 ZHU Chenxi (Heidi) - 2% 11% 30% 36% 18% 3%
79 ZIGALO Elizabeth 1% 10% 28% 36% 20% 4%
80 ISERT Sarah 1% 9% 26% 35% 23% 6%
81 WADE-CURRIE Ava S. 1% 10% 29% 37% 20% 3%
82 HU Grace - 3% 14% 32% 36% 15%
83 TOBY Natalia R. - - 2% 14% 41% 43%
84 KUNJAN Lena R. - 3% 15% 33% 33% 14% 2%
84 CHEN Zhengnan(Janet) - 3% 14% 31% 33% 16% 2%
86 BEZUGLAYA Varvara 6% 26% 37% 24% 7% 1% -
87 CHEN Lefu - 2% 10% 28% 36% 20% 4%
88 BEI Karen - 1% 6% 20% 35% 29% 9%
89 YANG Alisa 2% 12% 29% 33% 19% 5% -
90 SHU Youshan 14% 35% 33% 14% 3% - -
91 REID Anousheh - 5% 18% 35% 30% 11% 1%
92 WITTER Catherine A. 4% 20% 36% 28% 10% 2% -
93 SHEN Stephanie 5% 22% 35% 27% 10% 2% -
94 LIN Waiyuk 1% 7% 22% 34% 26% 9% 1%
95 FENG ge 6% 28% 38% 22% 6% 1% -
96 HESS Heidi J. 15% 38% 33% 12% 2% - -
97 AI Amy 14% 36% 34% 14% 2% - -
98 DOUGLAS Julia F. 3% 17% 33% 30% 14% 3% -
99 YAO KATHARINE 33% 41% 20% 5% 1% - -
100 KORKIN Alice 26% 44% 24% 5% - - -
101 HUANG Lanlan 18% 41% 30% 9% 1% - -
102 GUMAGAY Erika L. 11% 32% 34% 17% 4% -
103 WANG Karen - 4% 23% 40% 27% 6%
104 CANNING Charlotte 31% 43% 21% 4% - -
105 PEHLIVANI Zara 7% 24% 35% 25% 8% 1%
106 ELSTON Sophia 28% 41% 24% 6% 1% -
107 HUELLAS-BRUSKIEWICZ Marie-Rose R. 2% 33% 42% 19% 4% -
108 MYLER AnneMarie 1% 7% 23% 35% 25% 8% 1%
108 KORFONTA Jolie - 4% 18% 35% 30% 11% 1%
110 SONG Angela 32% 43% 20% 4% - - -
111 RATZLAFF Jocelyn T. - 1% 7% 25% 40% 23% 4%
112 YOU Emily 8% 30% 38% 20% 4% - -
113 WHITTEMORE Lucy K. 1% 9% 26% 34% 22% 6% 1%
114 SPRINGER Sierra 4% 23% 38% 27% 8% 1% -
115 MUN Brianna K. 18% 43% 29% 8% 1% - -
115 STOECKEL Sofia I. 18% 41% 30% 9% 1% - -
117 LONADIER Keira 3% 19% 35% 30% 11% 2% -
118 SEBASTIAN Felicity A. - 5% 20% 37% 29% 9% 1%
118 GORNOVSKY Abigail 6% 27% 38% 23% 6% 1% -
120 LEE Olive 3% 19% 37% 29% 10% 1% -
121 CAROUSSOS Symi 2% 14% 32% 32% 15% 3% -
122 KIM Jayna 18% 40% 31% 10% 1% - -
123 REID Sobia 2% 15% 33% 31% 15% 3% -
124 CHA Eugenie 14% 36% 33% 14% 3% - -
125 WONG Alexandra R. 21% 40% 29% 9% 1% - -
126 LIU Christina A. - 2% 11% 31% 37% 17% 2%
127 HSIU Elizabeth 37% 42% 17% 3% - - -
128 CAFASSO Natalya 16% 40% 32% 10% 1% - -
129 BINDAS Blodwen S. 3% 18% 34% 29% 12% 2% -
130 DESAI Meera P. 4% 20% 35% 28% 11% 2% -
130 BOTNER Olivia 21% 39% 28% 10% 2% - -
132 PINNAMANENI Drithi 19% 41% 30% 8% 1% - -
133 RUNIONS Emersyn 5% 25% 39% 25% 6% -
134 KIM Elizabeth Y. 5% 20% 34% 28% 11% 2%
135 LAVERY Chloe K. 6% 23% 35% 26% 9% 1%
136 LUO Ashley 1% 11% 29% 35% 19% 4%
137 WEISS Talia L. 2% 14% 35% 35% 13% 2%
138 ZHENG Evelyn 7% 29% 38% 21% 5% -
139 WELLS Tessa (Tesla) M. 5% 22% 36% 27% 10% 1%
140 SUN Renee R. 27% 41% 24% 7% 1% -
141 WU Fan 1% 11% 31% 36% 18% 3% -
142 CALDERA Lexi I. 3% 18% 35% 30% 11% 2% -
143 SMUK Daria A. 9% 31% 36% 19% 5% 1% -
144 FILIPPOV Nika D. 4% 21% 38% 27% 9% 1% -
145 JAKEL Alysa C. 24% 40% 26% 9% 1% - -
146 PRIHODKO Nina 34% 41% 19% 5% 1% - -
147 MINOR Lindsey 12% 38% 35% 13% 2% - -
148 NELSON-LOVE Lily B. 12% 36% 35% 14% 3% - -
148 SWENSON Nikita G. 14% 39% 35% 11% 1% - -
150 SENYUVA Su 24% 40% 26% 8% 1% - -
150 SU Evelyn 18% 39% 30% 11% 2% - -
152 KOLLAR Kincso - 4% 17% 35% 32% 10% 1%
153 ZHU Serene M. 20% 41% 29% 9% 1% - -
154 MIINEA Elena 48% 39% 12% 2% - - -
155 LI Zhenni (Jenny) 42% 42% 14% 2% - - -
156 YU Nicole J. 2% 14% 34% 34% 13% 2% -
157 DOUGLAS Elizabeth (Liz) L. 1% 10% 30% 36% 19% 4% -
158 ZHEREBCHEVSKA Veronika 16% 37% 32% 13% 3% - -
159 QI Jarynne Valerie 11% 35% 37% 15% 2% - -
160 LU Samantha R. 12% 37% 37% 13% 2% - -
161 LIN Ashley 37% 42% 17% 3% - - -
162 SMUK Alexandra S. 9% 31% 38% 18% 4% - -
163 LEE Yedda 6% 25% 36% 24% 7% 1% -
164 VAN MARION Kirsten C. 1% 8% 23% 34% 24% 9% 1%
164 EDWARDS Auprell 5% 22% 36% 26% 9% 2% -
166 CHISHOLM Phoebe C. 37% 44% 16% 3% - - -
167 LEE Olivia 11% 37% 35% 14% 3% - -
168 HONG Elaine 6% 26% 39% 23% 6% 1% -
169 STONER Shanrael M. 88% 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.