December NAC

Div I Women's Saber

Thursday, December 9, 2021 at 9:00 AM

Columbus, OH, 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 FOX-GITOMER Chloe N. - - - 1% 11% 41% 46%
2 JOHNSON Honor B. - - - 1% 7% 33% 59%
3 THEODORE Maria A. - - 1% 7% 27% 42% 23%
3 KAKHIANI-MECKLING Teodora - - 2% 12% 32% 39% 15%
5 SKARBONKIEWICZ Magda - - 1% 11% 40% 48%
6 SULLIVAN Siobhan R. - - 2% 12% 33% 39% 13%
7 VESTEL Mira B. 1% 6% 20% 33% 28% 11% 2%
8 DELSOIN Chelsea C. - 4% 16% 32% 31% 15% 3%
9 ENGELMAN-SANZ Madeline A. - 3% 17% 36% 32% 11% 1%
10 LINDER Kara E. - - - 4% 20% 44% 32%
11 PAK Kaitlyn - 1% 5% 18% 33% 32% 12%
12 JENKINS Ryan J. - - 2% 14% 42% 43%
13 KIM Zoe - - 2% 12% 33% 39% 14%
14 LU Vivian Y. - - 3% 12% 31% 37% 17%
15 GOUHIN Chloe - - 3% 15% 34% 34% 13%
16 LEE Alexandra B. - 1% 10% 31% 41% 16% 2%
17 TARTAKOVSKY Elizabeth - - - 2% 14% 40% 44%
18 SHOMAN Jenna - 1% 6% 21% 36% 28% 7%
19 STONE Anne-Elizabeth - - - 3% 18% 43% 35%
20 GREENBAUM Atara R. - - 4% 15% 33% 35% 13%
21 ANGLADE Alexis C. - - - 4% 21% 43% 32%
22 WILLIAMS Jadeyn E. - - 1% 7% 23% 40% 29%
23 FREEDMAN Janna N. 3% 20% 39% 30% 8% 1%
24 NAZLYMOV Tatiana F. - 1% 5% 18% 35% 31% 11%
25 SINGLETON-COMFORT Leanne - - 1% 7% 24% 42% 26%
25 LU Elaine 18% 38% 30% 11% 2% - -
27 ANDRES Charmaine G. 1% 5% 19% 32% 29% 13% 2%
28 TONG Kunling - 4% 15% 30% 31% 16% 3%
29 XU Ellen 3% 15% 31% 31% 16% 4% -
30 ANDRES Katherine A. 1% 7% 24% 35% 25% 8% 1%
31 HARRILL Gillian N. - 1% 9% 31% 44% 15%
32 LU Yi Lin 7% 26% 34% 23% 8% 1% -
33 MARSEE Samantha 1% 7% 22% 33% 26% 10% 1%
34 TOLEDO AMES Julieta Isabel - - - 5% 26% 50% 19%
35 WHANG Rebecca - 3% 13% 30% 35% 17% 2%
36 VADASZ Ibla P. 3% 18% 34% 29% 12% 2% -
37 LI Amanda C. - 1% 7% 22% 35% 27% 8%
38 GORMAN Victoria M. 2% 11% 27% 33% 20% 6% 1%
39 JOHNSON Lauren 1% 7% 21% 32% 27% 11% 2%
40 BLUM Leah I. - 2% 13% 33% 35% 15% 2%
41 OISHI Megumi - - 2% 12% 29% 38% 19%
42 LIU Lily - 4% 18% 33% 30% 13% 2%
43 SZETO Chloe 2% 11% 28% 34% 20% 5% -
44 HARRISON Imogen N. - 1% 8% 24% 36% 24% 6%
45 KUDRIAVTSEVA Daria - 1% 7% 22% 34% 27% 8%
46 OLSEN Natalie J. 3% 15% 31% 31% 16% 4% -
47 GHOSH Priyanka 6% 28% 40% 22% 4% -
48 KOVACS Sophia - 4% 20% 42% 29% 5%
49 ADYNSKI Gillian I. - - 1% 9% 29% 41% 20%
49 SCALAMONI-GOLDSTEIN Charlotte S. 5% 21% 35% 28% 10% 2% -
51 POSSICK Lola P. - - 3% 14% 31% 35% 16%
52 BOIS Adele - 5% 24% 38% 25% 7% 1%
53 CHIN Erika J. - 2% 12% 29% 36% 19% 2%
53 PERRIER Eleonore - 1% 9% 26% 35% 23% 6%
55 TZOU Alexandra - 1% 8% 25% 36% 24% 6%
56 CHEN Xiaohan 7% 29% 38% 21% 5% - -
57 CHANG Josephine S. - 4% 16% 32% 31% 14% 2%
58 CHIN Sophia J. 7% 26% 36% 23% 7% 1% -
59 WILLIAMS Chloe C. - 2% 12% 37% 39% 10%
60 ERIKSON Kira R. 30% 44% 22% 4% - -
61 ENDO Miyuki N. 11% 36% 37% 13% 2% -
62 TAO Hannah J. 2% 10% 26% 33% 22% 7% 1%
63 CHIOLDI Mina 2% 12% 30% 34% 18% 4% -
64 LEE Hannah 15% 35% 32% 14% 3% - -
65 MOZHAEVA MARIA 1% 10% 27% 34% 21% 6% 1%
66 KALRA Himani V. 1% 5% 19% 32% 29% 13% 2%
67 LI Victoria J. 1% 8% 28% 37% 21% 5% -
68 FOUR-GARCIA Madison - - 4% 17% 34% 33% 12%
68 KATZ Anat 5% 22% 34% 26% 11% 2% -
68 CHEN Jane 11% 34% 34% 16% 4% - -
71 SADIK HANA 21% 39% 28% 10% 2% - -
72 CARVALHO Isabela A. 1% 5% 18% 31% 29% 14% 3%
73 BEVACQUA Aria F. 3% 15% 31% 31% 15% 4% -
74 XI Shining 4% 21% 38% 28% 8% 1% -
75 TUCKER Iman R. 1% 7% 22% 33% 26% 10% 1%
76 SATHYANATH Kailing - 4% 18% 34% 30% 12% 1%
77 TIMOFEYEV Nicole - 1% 9% 29% 38% 19% 3%
78 FEARNS Zara A. 4% 21% 35% 28% 11% 2% -
79 PRIEUR Lauren 7% 26% 36% 23% 7% 1% -
80 GHAYALOD reya 9% 29% 36% 21% 6% 1% -
81 HULSEBURG Kaitlyn 4% 22% 39% 27% 7% 1%
82 CALVERT Sarah-Jane E. 22% 41% 27% 8% 1% - -
83 STONE Hava S. 4% 19% 33% 28% 13% 3% -
84 LEVITIS Danielle 9% 30% 36% 19% 5% 1% -
85 NEWELL Alexia C. 5% 25% 39% 25% 6% - -
86 BAKER Audrey C. 12% 32% 33% 17% 5% 1% -
87 KER Grace 4% 18% 34% 30% 12% 2% -
88 DANK Dina 9% 28% 34% 21% 7% 1% -
89 CAO Stephanie X. - 2% 11% 28% 34% 20% 4%
90 LIN Audrey J. 4% 18% 34% 30% 12% 2% -
91 JULIEN Michelle - 2% 11% 28% 36% 20% 3%
92 LUKASHENKO Angelina 8% 28% 36% 21% 6% 1% -
93 GUTHIKONDA Nithya - 3% 13% 30% 33% 17% 3%
94 CODY Alexandra C. 4% 19% 33% 29% 13% 3% -
94 HILD Nisha 2% 11% 27% 33% 21% 6% 1%
96 LIU Sophie 24% 40% 27% 8% 1% - -
97 BUHAY Rachel T. 5% 22% 34% 26% 10% 2% -
98 BILILIES Sophia 28% 42% 23% 6% 1% - -
99 NEIBART Fiona 15% 39% 33% 11% 2% - -
100 CALLAHAN Chase J. 15% 34% 32% 15% 4% - -
101 YUAN Greta 13% 38% 36% 12% 1% -
102 HASSAN Aziza R. 4% 17% 32% 30% 14% 3% -
103 NATHANSON Sammy E. 8% 30% 39% 19% 4% - -
104 ULIBARRI Nevaeh L. 31% 43% 21% 5% 1% - -
105 GREENBAUM Ella K. 1% 7% 22% 33% 26% 10% 1%
106 XIKES Katherine E. 11% 42% 34% 11% 2% - -
107 MIKA Veronica 3% 16% 33% 31% 14% 3% -
108 DRAGON Rainer 3% 16% 32% 30% 15% 4% -
109 CHEN Xinyan 17% 36% 30% 13% 3% - -
110 SHAY-TANNAS Zoe 39% 42% 16% 3% - -
111 LU Amy 6% 25% 36% 24% 8% 1% -
112 BALAKUMARAN Maya 7% 25% 36% 24% 8% 1% -
113 WIGGERS Susan Q. 2% 13% 31% 33% 17% 4% -
114 ARNECKE Lauren A. 27% 43% 24% 5% 1% - -
115 LARIMER Katherine E. 20% 38% 29% 11% 2% - -
116 GLUCK Myriam 56% 36% 7% 1% - - -
117 SINHA Anika 27% 42% 24% 6% 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.