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Division 1 Championships/April NAC

Div I Women's Épée

Saturday, April 22, 2023 at 12:30 PM

America's Center Convention Complex - St. Louis, MO, 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 HUSISIAN Hadley N. - - - - 4% 27% 69%
2 HOLMES Katharine (Kat) W. - - - - 1% 19% 80%
3 KETKAR Ketki - - - 2% 16% 45% 37%
3 WANG Karen - - 2% 11% 33% 40% 13%
5 ZIGALO Elizabeth - - 4% 16% 37% 36% 7%
6 BASSA Francesca A. - - - - 2% 22% 75%
7 GAJJALA Sharika R. - 3% 15% 34% 35% 12%
8 GUZZI VINCENTI Margherita A. - - - 1% 10% 35% 54%
9 LIU Charlene (Kai) - - - 1% 6% 33% 60%
10 NGUYEN Tallulah - 2% 12% 29% 35% 19% 3%
11 CEBULA Anne - - 1% 8% 28% 43% 20%
12 GRADY Miriam A. - - 1% 9% 41% 49%
13 TOBY Natalia R. - - 2% 15% 44% 40%
14 NIXON Catherine (Kasia) D. - - - - 4% 26% 70%
15 LEE Olivia 7% 28% 36% 22% 6% 1% -
16 WADE-CURRIE Ava S. - 2% 10% 30% 38% 18% 2%
17 WASHINGTON Isis - - - 2% 14% 39% 44%
18 BEI Karen - 1% 6% 22% 40% 29% 3%
19 PIRKOWSKI Amanda L. - - - - 5% 30% 65%
20 LIN Jessica Y. - - 2% 18% 52% 28%
21 GU Sarah - - 4% 25% 50% 21%
22 FALLON Kyle R. - 2% 12% 33% 38% 14%
23 ZUHARS Renee A. 1% 6% 25% 39% 24% 5%
24 RAUSCH Ariana (Ari) M. - - 4% 18% 39% 32% 6%
24 LEE REGINA 3% 15% 30% 31% 17% 4% -
26 KORFONTA Jolie - 2% 13% 32% 36% 15% 1%
27 TOLSMA Chloe (CJ) 11% 30% 34% 19% 6% 1% -
28 REID Anousheh 1% 9% 27% 36% 22% 5% -
29 KETKAR Mallika - 3% 15% 32% 33% 15% 1%
30 YU Nicole J. 4% 22% 39% 26% 7% 1%
31 YAMANAKA Mina - 1% 6% 25% 43% 25%
32 MUELLER Emma M. 12% 36% 35% 15% 3% - -
33 JOYCE Michaela - - - 2% 13% 41% 44%
34 OXENREIDER Tierna A. - - - 2% 12% 41% 45%
35 HURLEY Kelley A. - - 1% 8% 43% 49%
36 ZHANG Victoria R. 1% 10% 31% 37% 18% 3%
37 JAKEL Sophia N. - 1% 10% 31% 40% 17%
38 WANG Elizabeth - 1% 9% 29% 40% 20%
39 SHELIN Chelsea 16% 37% 32% 13% 2% - -
40 LEE Sumin - - 1% 10% 31% 42% 15%
41 KHAMIS Yasmine A. - - 1% 5% 24% 47% 24%
42 LUO Ashley - 4% 17% 34% 32% 12% 1%
43 SEBASTIAN Felicity A. 1% 7% 24% 36% 25% 7% -
44 TYLER Syd - 1% 7% 24% 39% 24% 5%
45 PEHLIVANI Zara 1% 10% 30% 36% 19% 4% -
46 LAN Alice S. 3% 16% 31% 31% 16% 4% -
47 WATRALL Christina - 1% 7% 26% 42% 24%
48 MACHULSKY Leehi - 1% 7% 28% 46% 19%
49 PAPADAKIS Lily 4% 21% 40% 29% 5% -
50 LIU Christina A. 1% 8% 24% 35% 25% 8% -
51 CHU Audrey - 1% 5% 20% 40% 31% 3%
52 LEE Natasha 1% 7% 24% 36% 25% 7% 1%
53 NIXON Caroline (Karolina) L. - - 1% 6% 25% 43% 25%
54 ZHU Serene M. 8% 28% 37% 21% 6% 1% -
55 MCCUTCHEN Lauren (Lulu) 3% 16% 35% 32% 13% 2% -
56 GEBALA Natalie Brooke A. 1% 8% 26% 37% 23% 5%
57 QI Jarynne Valerie 7% 31% 42% 18% 2% -
58 SMUK Alexandra S. 16% 39% 33% 11% 1% -
59 YANG Alisa 2% 11% 28% 34% 20% 5% -
60 CHEN Lefu - 4% 16% 32% 32% 14% 2%
61 MEHROTRA Anya - 2% 11% 29% 37% 19% 2%
62 MAO Amy 1% 5% 21% 36% 29% 8% 1%
63 CAFASSO Natalya 7% 26% 37% 23% 6% 1% -
64 YOU Emily 15% 36% 32% 14% 3% - -
65 SENYUVA Su 6% 23% 35% 26% 9% 1% -
66 KIM Zoe L. - 3% 16% 35% 34% 11% -
67 PHUKAN Indra 15% 37% 32% 13% 2% - -
68 CHISHOLM Phoebe C. 18% 38% 31% 11% 2% - -
69 SPRINGER Sierra 1% 10% 27% 34% 21% 6% 1%
70 DOROSHKEVICH Victoriia 1% 8% 31% 43% 16% 2%
71 LEUNG Natalie 1% 7% 27% 42% 21% 3%
72 LEANG Priscilla Y. 2% 14% 31% 32% 16% 3% -
73 ELSTON Sophia 7% 28% 38% 21% 5% - -
74 BUSH emma 9% 30% 36% 19% 5% - -
75 REMEZA Alissa 1% 7% 23% 36% 26% 7% 1%
76 KIM Jayna 10% 31% 35% 19% 5% 1% -
77 ANDERSON Claire 7% 25% 36% 24% 8% 1% -
78 SMUK Daria A. 17% 38% 31% 11% 2% -
79 AZMEH nour 12% 38% 36% 12% 2% -
80 PINNAMANENI Drithi 35% 44% 18% 3% - -
81 SMOTRITSKY Mia 2% 16% 36% 33% 12% 2%
82 SWENSON Nikita G. 12% 35% 34% 15% 3% -
83 BARG Daniella 9% 30% 37% 20% 5% - -
84 LU Junyao 1% 6% 23% 38% 26% 7% -
85 PRIHODKO Nina 6% 26% 37% 24% 7% 1% -
86 DESAI Meera P. 4% 18% 32% 29% 14% 3% -
87 WITTER Catherine A. 3% 15% 33% 32% 14% 2% -
88 KUKVA Taisiya 20% 40% 29% 10% 1% - -
89 WU Amelia 1% 7% 21% 33% 27% 10% 1%
90 GUJJA Misha 14% 35% 33% 14% 3% - -
91 CAPELLUA Mariasole 1% 8% 24% 35% 25% 7% -
92 SHARMA Sanvi 27% 43% 24% 6% 1% - -
93 LEE Scarlett 6% 24% 37% 25% 7% 1% -
94 WITTE Vera 10% 35% 36% 16% 3% -
95 DOUGLAS Marketa F. 38% 43% 16% 2% - -
95 FENG ge 13% 38% 34% 13% 2% -
97 YAO Melinda 9% 33% 39% 17% 2% -
98 BARBARA Camille 37% 43% 18% 3% - -
99 YAO Yilin 1% 9% 26% 35% 23% 6% -
100 LIN Elaine 4% 19% 35% 29% 11% 2% -
101 KUMAR Eva 22% 40% 28% 9% 1% - -
102 GUMAGAY Erika L. 4% 19% 36% 29% 10% 1% -
103 DAMRATOSKI Anna Z. 2% 13% 32% 35% 16% 3% -
104 PADHYE Tanishka - 4% 19% 36% 30% 9% 1%
105 STOECKEL Sofia I. 29% 43% 22% 5% 1% - -
106 CANNING Charlotte 10% 32% 36% 18% 4% - -
107 LI Fei 7% 25% 36% 24% 8% 1% -
108 LIU Nicole 6% 24% 36% 25% 8% 1% -
109 SONG Angela 8% 28% 37% 21% 5% 1% -
110 CARRIER Meredith 26% 41% 24% 7% 1% - -
111 MUN Brianna K. 12% 35% 35% 15% 3% - -
112 ALEXANDROV Katherine S. 6% 26% 37% 23% 6% 1%
113 BECKMAN Ana 18% 41% 31% 9% 1% -
114 LEE Olive 5% 23% 37% 26% 8% 1% -
115 BOYS Nishta B. 1% 6% 21% 33% 27% 10% 1%
116 YOUNG VIVIAN 34% 43% 19% 4% - -
117 KORKIN Alice 13% 41% 35% 10% 1% -
118 POTAPENKO Margarita D. 8% 32% 40% 18% 3% -
119 HUANG Lanlan 14% 36% 33% 14% 2% - -
120 CHERNIS Zoe C. 16% 37% 31% 13% 3% - -

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.