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 probability of achieving at least a certain number of victories in the pool 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 100% 100% 100% 99% 94% 72% 29%
2 LIU Charlene (Kai) 100% 100% 100% 100% 100% 94% 61%
3 GUZZI VINCENTI Margherita A. 100% 100% 100% 100% 99% 94% 63%
3 HUSISIAN Hadley N. 100% 100% 100% 100% 99% 93% 62%
5 FALLON Kyle R. 100% 100% 99% 90% 65% 29% 6%
6 WATRALL Christina 100% 100% 100% 99% 89% 57% 15%
7 PIRKOWSKI Amanda L. 100% 100% 100% 100% 98% 86% 46%
8 KETKAR Ketki 100% 100% 100% 100% 97% 82% 42%
9 NIXON Catherine (Kasia) D. 100% 100% 100% 100% 99% 93% 61%
10 PARK Faith K. 100% 100% 100% 100% 98% 82% 39%
11 HURLEY Courtney L. 100% 100% 100% 100% 99% 89% 50%
12 OXENREIDER Tierna A. 100% 100% 100% 97% 81% 43% 8%
13 WANG Elizabeth 100% 100% 95% 76% 42% 13% 1%
14 LIN Jessica Y. 100% 100% 100% 96% 78% 35%
15 CHIN Isabella 100% 100% 99% 93% 65% 22% 2%
16 XIAO Ruien 100% 100% 99% 94% 74% 37% 7%
17 LEE Sumin 100% 100% 99% 94% 73% 37% 8%
18 BASSA Francesca A. 100% 100% 100% 100% 99% 89% 52%
19 KHROL Jaclyn 100% 100% 100% 97% 81% 46% 11%
20 NING Emma 100% 100% 96% 79% 46% 13%
21 DING Jiahe (Heidi) 100% 100% 100% 99% 89% 57% 16%
22 DROVETSKY Alexandra M. 100% 100% 100% 98% 86% 52% 10%
23 MACHULSKY Leehi 100% 100% 100% 99% 94% 74% 33%
24 KETKAR Mallika 100% 100% 96% 79% 43% 12% 1%
25 KHAMIS Yasmine A. 100% 100% 100% 97% 81% 41%
26 CHU Audrey 100% 100% 90% 57% 19% 2%
27 MAZUR Yeva 100% 100% 96% 75% 35% 7%
28 LEE Natasha 100% 92% 61% 23% 4% -
29 MEHROTRA Anya 100% 99% 92% 68% 32% 7%
30 JAKEL Sophia N. 100% 100% 98% 84% 50% 11%
31 YIN Julia 100% 100% 94% 73% 35% 8% 1%
32 CHORNIY Kateryna 100% 100% 100% 99% 92% 67% 26%
33 YAO Melinda 100% 94% 69% 33% 9% 1% < 1%
34 HOLMES Katharine (Kat) W. 100% 100% 100% 100% 100% 97% 70%
35 HURLEY Kelley A. 100% 100% 100% 100% 99% 90% 54%
36 MILLETTE Marie Frederique 100% 100% 100% 97% 82% 43% 7%
37 GAJJALA Sharika R. 100% 100% 98% 85% 52% 17% 2%
38 XUAN Nicole J. 100% 100% 96% 77% 38% 8% -
39 VERRET Alexanne 100% 100% 100% 96% 78% 41% 9%
40 JOYCE Michaela 100% 100% 100% 100% 98% 82% 39%
41 NIXON Caroline (Karolina) L. 100% 100% 100% 100% 96% 77% 35%
42 KHARCHYNA Polina 100% 100% 99% 94% 73% 34% 4%
43 SMOTRITSKY Mia 100% 98% 84% 50% 16% 2% -
44 GANDHI Sedna S. 100% 100% 100% 96% 81% 49% 14%
45 GAVRIELKO Nicole 100% 100% 100% 98% 88% 57% 17%
46 MONTOYA Kimberlee C. 100% 100% 100% 95% 74% 34% 6%
47 ALEXANDROV Katherine S. 100% 93% 65% 29% 7% 1%
48 ZHANG Victoria R. 100% 96% 77% 44% 15% 2%
49 DOROSHKEVICH Victoriia 100% 98% 84% 51% 17% 2%
50 TEMIRYAEV Anna M. 100% 99% 91% 64% 28% 6% -
51 LEUNG Natalie 100% 100% 99% 91% 63% 22% 2%
52 TYLER Syd 100% 100% 97% 80% 45% 13% 1%
53 KOWALSKY Rachel A. 100% 100% 96% 79% 46% 15% 2%
54 KIM Zoe L. 100% 99% 87% 53% 18% 3% -
55 RAUSCH Ariana (Ari) M. 100% 100% 100% 97% 83% 46% 10%
56 BEITTEL Chloe F. 100% 100% 99% 93% 69% 30% 4%
57 SHEFFIELD Lake Mawu 100% 100% 100% 97% 80% 39% 5%
58 PAPADAKIS Lily 100% 98% 85% 51% 17% 2% -
59 CAPELLUA Mariasole 100% 100% 94% 71% 32% 6% -
60 WU Amelia 100% 99% 90% 64% 28% 5%
60 DAMRATOSKI Anna Z. 100% 88% 55% 21% 4% -
62 NGUYEN Kira 100% 98% 84% 51% 17% 2%
63 SMITH Grace L. 100% 100% 94% 74% 38% 10% 1%
64 MAO Amy 100% 100% 95% 78% 45% 15% 2%
65 NGUYEN Tallulah 100% 100% 97% 85% 58% 24% 4%
66 KUZNETSOV Victoria 100% 100% 98% 85% 53% 18% 2%
67 LAN Alice S. 100% 97% 80% 44% 13% 2% -
68 BALAKRISHNAN Monica S. 100% 100% 97% 83% 50% 16% 1%
69 LIN Katie Y. 100% 100% 99% 92% 69% 31% 6%
70 LEE Michelle J. 100% 100% 96% 79% 45% 12%
71 LOMBARD Ella 100% 100% 95% 77% 42% 11%
72 GRADY Miriam A. 100% 100% 100% 100% 96% 77% 33%
73 GU Sarah 100% 100% 100% 98% 88% 60% 20%
74 LURYE Sarah 100% 100% 100% 96% 78% 39% 8%
75 DUNLAP-SMITH Azaline I. 100% 100% 99% 90% 62% 24% 3%
76 PADHYE Tanishka 100% 98% 83% 51% 19% 4% -
77 MCCUTCHEN Lauren (Lulu) 100% 99% 93% 72% 37% 10% 1%
78 ZHU Chenxi (Heidi) 100% 100% 98% 87% 57% 21% 3%
79 ZIGALO Elizabeth 100% 99% 89% 60% 25% 4%
80 ISERT Sarah 100% 99% 89% 64% 29% 6%
81 WADE-CURRIE Ava S. 100% 99% 89% 60% 24% 3%
82 HU Grace 100% 100% 97% 83% 51% 15%
83 TOBY Natalia R. 100% 100% 100% 98% 84% 43%
84 KUNJAN Lena R. 100% 100% 97% 82% 49% 16% 2%
84 CHEN Zhengnan(Janet) 100% 100% 97% 83% 52% 19% 2%
86 BEZUGLAYA Varvara 100% 94% 69% 32% 9% 1% -
87 CHEN Lefu 100% 100% 98% 88% 59% 23% 4%
88 BEI Karen 100% 100% 99% 93% 73% 38% 9%
89 YANG Alisa 100% 98% 86% 58% 25% 6% -
90 SHU Youshan 100% 86% 51% 18% 3% - -
91 REID Anousheh 100% 100% 95% 77% 42% 12% 1%
92 WITTER Catherine A. 100% 96% 76% 40% 12% 2% -
93 SHEN Stephanie 100% 95% 73% 38% 11% 2% -
94 LIN Waiyuk 100% 99% 93% 71% 37% 11% 1%
95 FENG ge 100% 94% 66% 28% 6% 1% -
96 HESS Heidi J. 100% 85% 46% 14% 2% - -
97 AI Amy 100% 86% 50% 16% 2% - -
98 DOUGLAS Julia F. 100% 97% 80% 48% 17% 3% -
99 YAO KATHARINE 100% 67% 25% 5% 1% - -
100 KORKIN Alice 100% 74% 30% 5% - - -
101 HUANG Lanlan 100% 82% 41% 10% 1% - -
102 GUMAGAY Erika L. 100% 89% 56% 22% 5% -
103 WANG Karen 100% 100% 96% 73% 33% 6%
104 CANNING Charlotte 100% 69% 26% 5% - -
105 PEHLIVANI Zara 100% 93% 69% 34% 10% 1%
106 ELSTON Sophia 100% 72% 31% 7% 1% -
107 HUELLAS-BRUSKIEWICZ Marie-Rose R. 100% 98% 64% 23% 4% -
108 MYLER AnneMarie 100% 99% 92% 69% 34% 9% 1%
108 KORFONTA Jolie 100% 100% 96% 77% 42% 12% 1%
110 SONG Angela 100% 68% 25% 5% - - -
111 RATZLAFF Jocelyn T. 100% 100% 99% 92% 67% 27% 4%
112 YOU Emily 100% 92% 63% 25% 5% - -
113 WHITTEMORE Lucy K. 100% 99% 90% 63% 29% 7% 1%
114 SPRINGER Sierra 100% 96% 74% 36% 9% 1% -
115 MUN Brianna K. 100% 82% 39% 9% 1% - -
115 STOECKEL Sofia I. 100% 82% 41% 10% 1% - -
117 LONADIER Keira 100% 97% 78% 43% 13% 2% -
118 SEBASTIAN Felicity A. 100% 100% 95% 75% 39% 10% 1%
118 GORNOVSKY Abigail 100% 94% 67% 29% 7% 1% -
120 LEE Olive 100% 97% 78% 41% 12% 1% -
121 CAROUSSOS Symi 100% 98% 83% 51% 19% 4% -
122 KIM Jayna 100% 82% 42% 11% 1% - -
123 REID Sobia 100% 98% 83% 50% 19% 4% -
124 CHA Eugenie 100% 86% 50% 17% 3% - -
125 WONG Alexandra R. 100% 79% 39% 11% 1% - -
126 LIU Christina A. 100% 100% 98% 87% 56% 19% 2%
127 HSIU Elizabeth 100% 63% 21% 4% - - -
128 CAFASSO Natalya 100% 84% 44% 12% 1% - -
129 BINDAS Blodwen S. 100% 97% 78% 44% 15% 3% -
130 DESAI Meera P. 100% 96% 77% 42% 13% 2% -
130 BOTNER Olivia 100% 79% 40% 12% 2% - -
132 PINNAMANENI Drithi 100% 81% 40% 10% 1% - -
133 RUNIONS Emersyn 100% 95% 70% 31% 7% -
134 KIM Elizabeth Y. 100% 95% 75% 41% 13% 2%
135 LAVERY Chloe K. 100% 94% 71% 36% 10% 1%
136 LUO Ashley 100% 99% 88% 58% 23% 4%
137 WEISS Talia L. 100% 98% 84% 50% 15% 2%
138 ZHENG Evelyn 100% 93% 65% 27% 6% -
139 WELLS Tessa (Tesla) M. 100% 95% 73% 38% 11% 1%
140 SUN Renee R. 100% 73% 32% 8% 1% -
141 WU Fan 100% 99% 88% 57% 21% 3% -
142 CALDERA Lexi I. 100% 97% 79% 44% 13% 2% -
143 SMUK Daria A. 100% 91% 60% 24% 5% 1% -
144 FILIPPOV Nika D. 100% 96% 75% 37% 10% 1% -
145 JAKEL Alysa C. 100% 76% 36% 10% 1% - -
146 PRIHODKO Nina 100% 66% 25% 5% 1% - -
147 MINOR Lindsey 100% 88% 50% 15% 2% - -
148 NELSON-LOVE Lily B. 100% 88% 52% 17% 3% - -
148 SWENSON Nikita G. 100% 86% 47% 12% 1% - -
150 SENYUVA Su 100% 76% 36% 10% 2% - -
150 SU Evelyn 100% 82% 44% 13% 2% - -
152 KOLLAR Kincso 100% 100% 96% 78% 43% 11% 1%
153 ZHU Serene M. 100% 80% 39% 10% 1% - -
154 MIINEA Elena 100% 52% 13% 2% - - -
155 LI Zhenni (Jenny) 100% 58% 16% 2% - - -
156 YU Nicole J. 100% 98% 84% 50% 16% 2% -
157 DOUGLAS Elizabeth (Liz) L. 100% 99% 89% 59% 23% 4% -
158 ZHEREBCHEVSKA Veronika 100% 84% 47% 15% 3% - -
159 QI Jarynne Valerie 100% 89% 54% 17% 3% - -
160 LU Samantha R. 100% 88% 52% 15% 2% - -
161 LIN Ashley 100% 63% 21% 4% - - -
162 SMUK Alexandra S. 100% 91% 61% 23% 4% - -
163 LEE Yedda 100% 94% 69% 33% 9% 1% -
164 VAN MARION Kirsten C. 100% 99% 91% 68% 34% 10% 1%
164 EDWARDS Auprell 100% 95% 72% 37% 11% 2% -
166 CHISHOLM Phoebe C. 100% 63% 19% 3% - - -
167 LEE Olivia 100% 89% 52% 17% 3% - -
168 HONG Elaine 100% 94% 68% 30% 6% 1% -
169 STONER Shanrael M. 100% 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.