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(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

December NAC

Div I Women's Saber

Monday, December 17, 2018 at 8:00 AM

Cincinnati, OH - Cincinnati, 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 SINGLETON-COMFORT Leanne - 2% 14% 38% 35% 11%
2 BURKE Nora S. - 3% 16% 33% 32% 14% 2%
3 AKSAMIT Monica - 1% 5% 20% 36% 30% 9%
3 STONE Anne-Elizabeth - 1% 7% 22% 35% 27% 8%
5 AVAKIAN Mikaela - - - 3% 16% 40% 40%
6 JENKINS Ryan J. - - 1% 8% 35% 56%
7 JOHNSON Edith (Tori) V. - - - 1% 7% 33% 60%
8 CHAMBERLAIN Maia C. - - 1% 13% 52% 34%
9 ADYNSKI Gillian I. 1% 8% 27% 39% 23% 3%
10 RUSSO Francesca - 1% 8% 27% 41% 23%
11 KIM Zoe 2% 14% 34% 34% 14% 2%
12 FOX-GITOMER Chloe N. - - 1% 5% 23% 43% 29%
13 MERZA Sarah - 3% 15% 34% 35% 13%
14 GUTHIKONDA Nithya 13% 36% 35% 14% 2% -
15 HARRILL Gillian N. - - 3% 19% 41% 32% 4%
16 LINDER Kara E. - - 1% 8% 25% 40% 25%
17 MILLER Sky - - 5% 27% 42% 22% 3%
18 GRENCH Eileen - 1% 6% 24% 39% 25% 5%
19 GORMAN Alexandra C. - 2% 11% 29% 36% 19% 3%
19 HARRISON Imogen N. - 1% 10% 29% 39% 19% 2%
21 THOMPSON Kamali A. - 1% 8% 26% 38% 22% 3%
22 BABY Sada M. 1% 12% 30% 35% 18% 3%
23 JOHNSON Honor B. - - 2% 14% 44% 40%
24 JENKINS Morgan J. - 3% 13% 30% 33% 17% 3%
25 YUN Joy - 1% 6% 23% 43% 27%
26 HIRSCH Sydney R. - - 3% 17% 41% 38%
27 MICHEL Violet N. - 4% 19% 39% 32% 6%
28 GOUHIN Chloe - 2% 14% 35% 37% 12%
29 MERZA Celina 8% 27% 35% 22% 7% 1% -
30 GREENBAUM Atara R. - 1% 5% 19% 34% 31% 10%
31 HOFFMAN Ilsa L. 3% 20% 39% 30% 8% 1%
32 LITYNSKI Jacqueline Z. 2% 16% 37% 32% 12% 2% -
33 ANGLADE Alexis C. - 1% 6% 23% 38% 27% 5%
34 MOSS Zara J. - 1% 7% 24% 37% 25% 6%
35 STRZALKOWSKI Aleksandra (Ola) M. - 1% 8% 24% 36% 25% 5%
36 MILLER Tiffany D. 2% 13% 31% 34% 17% 3%
37 TARTAKOVSKY Elizabeth - - 4% 22% 49% 24%
38 KIM Catherine 2% 13% 35% 36% 12% 1%
39 WHITE Amber L. - 2% 13% 32% 34% 16% 3%
40 MORALES Jessica Y. - - 3% 16% 35% 34% 12%
41 THEODORE Maria A. - 3% 14% 32% 33% 15% 3%
42 MOYA Keona L. - - 3% 13% 31% 36% 17%
43 SAPIENZA Lindsay 1% 9% 25% 34% 23% 8% 1%
44 LARGAESPADA Fatima - - 2% 10% 27% 39% 22%
45 BENTOLILA Esther 14% 40% 34% 11% 1% -
46 LIANG Megan 3% 21% 41% 29% 6% -
47 TURNER Zoe Y. 1% 11% 28% 34% 20% 5% -
48 DECKER Laura 14% 35% 33% 15% 3% - -
49 HOOGENDOORN Sterre 4% 19% 34% 29% 12% 2% -
50 ROH Rachel E. 2% 11% 28% 33% 20% 5% 1%
51 HASSETT Tara A. 1% 9% 25% 34% 23% 7% 1%
52 MANUBAG Amanda R. 6% 27% 40% 22% 4% - -
53 HONE Katarina G. 4% 21% 35% 27% 10% 2% -
53 HE Charlotte 16% 40% 32% 11% 2% - -
55 MAJOR Desirae A. 4% 42% 37% 14% 2% - -
56 TONG Kunling 15% 40% 33% 11% 1% -
57 WITEK Sophie B. 1% 10% 31% 37% 18% 3%
57 LIMB Madeline I. 4% 20% 37% 29% 10% 1%
59 HILADO Sarah 9% 31% 37% 19% 4% -
60 SHEALY Maggie 6% 24% 37% 26% 8% 1%
61 SAYLES Nina R. 23% 42% 27% 7% 1% - -
62 HANADARI-LEVY Amit 1% 9% 26% 34% 22% 7% 1%
63 KOLMYKOVA Aleksandra 30% 40% 22% 6% 1% - -
64 CHAN Casey - 2% 11% 29% 35% 19% 4%
65 MILLER Stephanie M. 8% 26% 34% 22% 8% 1% -
66 WOZNIAK Kelli 2% 12% 32% 35% 16% 3% -
67 KATZ Anat 5% 21% 34% 27% 10% 2% -
68 BROWNE Alexis G. - 2% 11% 30% 35% 19% 4%
69 DRAGON Rainer 1% 14% 36% 33% 13% 2% -
70 BERMAN Stella 5% 22% 37% 27% 9% 1% -
71 WHANG Rebecca 1% 5% 19% 33% 29% 12% 2%
72 BUSTAMANTE Evie I. 7% 25% 35% 23% 8% 1% -
73 WALTER Zsofia R. 27% 44% 23% 5% - -
74 MENTZER Katherine 45% 40% 13% 2% - -
75 SULLIVAN Caroline E. 5% 25% 41% 25% 5% -
76 HUNTER Nina B. 7% 25% 36% 24% 7% 1%
77 SHVARTSMAN Rochelle 26% 43% 25% 6% 1% -
78 CHAN Leanne 14% 38% 33% 12% 2% -
79 PRIESTLEY Catherine (Cate) C. 3% 18% 38% 31% 10% 1%
80 AKARD Micah M. 8% 28% 35% 21% 6% 1% -
81 DUNGEY Amelia S. 6% 24% 36% 24% 8% 1% -
81 SATHYANATH Kailing 5% 24% 37% 25% 8% 1% -
83 BECKER Kaitlyn - 4% 17% 33% 31% 13% 1%
84 TUCKER Iman R. 18% 40% 30% 10% 1% - -
85 LU Vivian Y. 8% 30% 38% 20% 3% -
86 HASSAN Aziza R. 44% 40% 13% 2% - - -
87 ALLUM Isabel (Izzy) T. 3% 21% 43% 26% 6% -
88 GREENBAUM Ella K. 5% 28% 42% 20% 4% - -
89 EDWARDS Darby 14% 36% 33% 14% 3% - -
90 HOOGENDOORN Levi 25% 41% 26% 7% 1% -
90 GHOSH Priyanka 17% 38% 31% 11% 2% -
92 KUZNETSOVA Nastassja 26% 41% 25% 7% 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.