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December NAC

Div I Women's Épée

Saturday, December 10, 2022 at 8:00 AM

Salt Lake City, UT, 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 PIRKOWSKI Amanda L. - - - 3% 16% 40% 40%
2 BASSA Francesca A. - - - - 1% 14% 86%
3 OXENREIDER Tierna A. - - 1% 5% 23% 43% 28%
3 JOYCE Michaela - - - 2% 15% 43% 40%
5 JAKEL Sophia N. - 1% 6% 24% 41% 27%
6 CHIN Isabella - 1% 9% 32% 42% 16%
7 KUZNETSOV Victoria - - 1% 9% 34% 43% 13%
8 MACHULSKY Leehi - - - 4% 18% 42% 36%
9 KORFONTA Jolie - 1% 5% 19% 36% 31% 8%
10 NGUYEN Tallulah - 4% 18% 35% 31% 10%
11 RAUSCH Ariana (Ari) M. - - 2% 10% 30% 41% 17%
12 FALLON Kyle R. - - 2% 12% 33% 40% 13%
13 KETKAR Ketki - - - 1% 8% 38% 53%
14 LEE Sumin - 1% 9% 28% 40% 22%
15 GAJJALA Sharika R. - 4% 17% 35% 32% 11%
16 KIM Zoe L. 1% 11% 33% 38% 14% 1%
17 WANG Elizabeth - - 1% 6% 24% 42% 27%
18 LIU Nicole 4% 18% 33% 29% 13% 3% -
19 KHAMIS Yasmine A. - - - 2% 13% 38% 46%
20 MAO Amy - 1% 6% 21% 37% 28% 7%
21 PARK Faith K. - - - 4% 28% 67%
22 TOBY Natalia R. - - 2% 15% 42% 41%
23 WANG Karen - 1% 6% 24% 43% 26%
24 SMITH Grace L. 1% 11% 29% 36% 19% 4%
25 ZIGALO Elizabeth 1% 6% 22% 36% 27% 8%
26 CHEN Lefu - 1% 5% 20% 38% 31% 6%
27 NIXON Caroline (Karolina) L. - - - 3% 16% 42% 40%
28 ZUHARS Renee A. - 5% 23% 40% 27% 5%
29 MEHROTRA Anya - 6% 23% 39% 26% 6%
30 ISERT Sarah 1% 9% 27% 36% 22% 5%
31 KALE Anika A. 6% 26% 36% 24% 7% 1%
32 RUNIONS Emersyn 2% 13% 29% 32% 18% 5% -
33 BEI Karen - 1% 8% 32% 46% 13%
34 CHU Audrey - - 3% 15% 39% 35% 9%
35 GU Sarah - - 2% 10% 31% 40% 17%
36 TEMIRYAEV Anna M. 1% 5% 19% 32% 29% 12% 2%
37 HAFEEZ Hania 1% 9% 25% 35% 23% 7% 1%
38 LOMBARD Ella - 2% 14% 34% 36% 13%
39 WATRALL Christina - - 1% 10% 39% 50%
40 REID Sobia 3% 19% 36% 30% 10% 1%
41 GEBALA Natalie Brooke A. - 4% 20% 39% 30% 7%
42 DAMRATOSKI Anna Z. - 3% 14% 30% 33% 17% 3%
43 KETKAR Mallika - 1% 9% 28% 38% 20% 3%
44 WU Fan 1% 7% 26% 36% 23% 6% 1%
45 GRADY Miriam A. - - - 1% 8% 35% 57%
46 WU Amelia - - 1% 8% 26% 40% 24%
47 WITTER Catherine A. 1% 7% 25% 37% 23% 6% 1%
48 LIN Jessica Y. - - 1% 7% 36% 57%
49 DROVETSKY Alexandra M. - 1% 8% 27% 42% 23%
50 LUO Ashley 2% 11% 30% 35% 19% 4%
51 LEE Olive 9% 34% 37% 16% 3% -
52 TYLER Syd - 2% 11% 31% 40% 17%
53 SHEFFIELD Lake Mawu - - 1% 5% 23% 44% 27%
54 PAPADAKIS Lily - 1% 7% 23% 37% 26% 6%
55 SHELIN Chelsea 8% 28% 36% 22% 6% 1% -
56 YOU Emily 1% 13% 32% 34% 17% 4% -
57 PFEIFFER Rebecca C. 1% 8% 23% 33% 25% 9% 1%
58 SONG Angela 5% 25% 40% 25% 5% - -
59 PRIHODKO Nina 12% 33% 34% 16% 4% - -
60 LEE Yedda 4% 19% 35% 29% 11% 1% -
61 YAO KATHARINE 18% 40% 30% 10% 1% - -
62 LEE Michelle J. - 2% 12% 30% 38% 18%
63 MUN Brianna K. 9% 30% 36% 20% 4% -
64 CAPELLUA Mariasole - 1% 8% 23% 35% 26% 7%
65 ALEXANDROV Katherine S. 2% 13% 29% 32% 18% 5% -
66 BUSH emma 12% 33% 35% 17% 3% -
67 XUAN Nicole J. - 4% 22% 42% 27% 5%
68 DESAI Meera P. 1% 8% 23% 34% 25% 9% 1%
69 LU Junyao - 4% 17% 34% 32% 12% 1%
70 HESS Heidi J. 7% 27% 38% 23% 6% -
71 SPRINGER Sierra 6% 25% 37% 24% 6% 1%
72 WANG Nora 1% 10% 28% 36% 21% 5%
73 WADE-CURRIE Ava S. 1% 6% 21% 36% 28% 8%
74 LIU Christina A. 1% 7% 23% 37% 26% 6%
75 LEE Olivia 6% 24% 38% 25% 6% -
76 REID Anousheh 2% 15% 33% 34% 14% 1%
77 LEUNG Natalie - - 4% 18% 39% 35% 3%
78 KIM Jayna 7% 29% 40% 21% 4% - -
79 WELLS Tessa (Tesla) M. 3% 14% 30% 32% 17% 4% -
80 SMUK Alexandra S. 2% 16% 35% 31% 13% 3% -
81 WITTE Vera 3% 15% 31% 31% 16% 4% -
82 ZHANG Victoria R. - 4% 17% 33% 31% 13% 2%
83 WONG Alexandra R. 7% 26% 36% 23% 7% 1% -
83 QI Jarynne Valerie 11% 32% 35% 18% 4% - -
85 LONADIER Keira 1% 10% 28% 35% 21% 4% -
86 CARRIER Meredith 31% 44% 21% 4% - - -
87 LEUNG Wan Kiu Hayley 4% 22% 39% 27% 7% 1% -
88 MONTOYA Kimberlee C. - - 3% 15% 38% 35% 9%
89 LI Zhenni (Jenny) 20% 40% 29% 9% 1% - -
90 YAMANAKA Mina - - 3% 18% 44% 35%
90 SMOTRITSKY Mia 4% 20% 35% 29% 11% 1%
92 LIN Waiyuk 1% 10% 29% 35% 20% 4%
93 PINNAMANENI Drithi 19% 40% 30% 10% 1% -
94 MCCUTCHEN Lauren (Lulu) 3% 20% 42% 28% 7% 1%
95 WHITTEMORE Lucy K. 3% 17% 34% 31% 13% 2%
95 LU Samantha R. 15% 37% 33% 14% 3% -
95 LI Fei 43% 41% 14% 2% - -
98 LI Alisha 29% 41% 23% 6% 1% -
98 NELSON-LOVE Lily B. 16% 37% 32% 13% 2% -
100 LAN Alice S. 5% 21% 36% 28% 10% 1%
101 KENT Elizabeth J. 14% 39% 35% 12% 1% -
102 BOTNER Olivia 7% 27% 38% 23% 5% -
103 KHARCHYNA Polina - - 4% 21% 44% 26% 4%
104 SWENSON Nikita G. 3% 16% 33% 32% 14% 2% -
105 HICKS Grace 14% 37% 34% 13% 2% - -
106 EDWARDS Auprell 3% 17% 35% 31% 12% 2% -
107 KORKIN Alice 5% 20% 33% 28% 12% 2% -
108 CALDERA Lexi I. 1% 7% 23% 36% 25% 7% 1%
108 LIN Ashley 11% 30% 34% 19% 5% 1% -
110 YU Nicole J. 2% 12% 30% 35% 18% 4% -
111 HONG Elaine 2% 15% 35% 34% 13% 2% -
112 BEZUGLAYA Varvara 1% 7% 23% 36% 26% 7% 1%
113 ANDERSON Claire 5% 21% 34% 27% 11% 2% -
113 SU Evelyn 16% 37% 31% 13% 3% - -
115 SCHMIDT Lori M. - 5% 20% 36% 28% 9% 1%
116 CAFASSO Natalya 10% 32% 36% 18% 4% - -
117 GUJJA Misha 13% 32% 33% 17% 5% 1% -
118 GAO Judy 5% 20% 33% 28% 12% 2% -
119 SHU Youshan 11% 34% 36% 16% 3% - -
120 YANG Alisa 4% 19% 36% 30% 11% 1%
121 ELSTON Sophia 11% 38% 36% 14% 2% -
121 PEHLIVANI Zara 6% 24% 37% 25% 7% 1%
123 NGUYEN Kira - 3% 15% 36% 37% 10%
124 CHISHOLM Phoebe C. 24% 47% 25% 5% - -
125 GUMAGAY Erika L. 8% 29% 36% 21% 6% 1%
126 HUANG Lanlan 34% 45% 18% 3% - -
127 BARON Sabina 16% 37% 32% 13% 2% -
128 SHARMA Sanvi 26% 43% 25% 5% - -
129 SUN Renee R. 22% 41% 28% 9% 1% -
130 HSIU Elizabeth 41% 42% 15% 2% - -
131 MCCLAIN-YU Eri M. 3% 19% 38% 29% 10% 1%
132 PADHYE Tanishka 3% 19% 39% 29% 9% 1%
133 YAO Melinda 5% 22% 37% 28% 9% 1%
134 FENG ge 9% 32% 39% 17% 3% -
135 KUKVA Taisiya 8% 28% 36% 21% 6% 1% -
136 LEE Natasha 2% 10% 26% 33% 22% 7% 1%
137 ZHU Serene M. 13% 35% 34% 15% 3% - -
138 CAMPBELL Anahit M. 1% 8% 23% 33% 25% 9% 1%
139 SENYUVA Su 14% 37% 34% 13% 2% - -
140 KUMAR Eva 18% 42% 30% 9% 1% - -
141 ZENG Katrina 13% 34% 33% 15% 3% - -
142 LIANG Jingjing 56% 35% 8% 1% - - -
143 GORNOVSKY Abigail 11% 33% 35% 17% 4% -
144 DAVIS Jessica L. 1% 7% 25% 37% 24% 6% 1%
145 AI Amy 24% 41% 26% 7% 1% -
146 YAO Yilin 6% 24% 36% 25% 8% 1% -
146 DU Shunyi(Wendy) 2% 17% 36% 31% 12% 2% -
148 CHA Eugenie 12% 34% 35% 15% 3% - -
149 HEPLER Sarah 11% 30% 34% 19% 6% 1% -
150 SWENSON Alexandra 33% 43% 20% 4% - - -

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.