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

National Championships, Junior Olympic Championships & July NAC

Div I-A Women's Épée

Saturday, July 10, 2021 at 1:30 PM

Philadelphia, PA - Philadelphia, PA, 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. - - - - 3% 25% 72%
2 CHENG Ava 1% 11% 28% 34% 20% 5% -
3 LIN Katie Y. - - 3% 18% 42% 36%
3 ISERT Sarah 1% 5% 20% 35% 29% 9%
5 DOUGLAS Julia F. - 2% 9% 25% 34% 24% 7%
6 GEBALA Natalie Brooke A. - - 3% 13% 30% 36% 17%
7 DAVIS Jessica L. - 3% 14% 34% 36% 13%
8 DONDISCH Sophia 13% 34% 34% 16% 3% -
9 BEI Karen - - 1% 7% 26% 41% 24%
10 ZHANG Tina Tianyi - 2% 11% 28% 37% 20% 2%
11 MCLANE Lauren - 1% 7% 24% 41% 27%
12 ZIGALO Elizabeth - 4% 16% 34% 33% 12%
13 COBERT Helen G. 2% 12% 30% 34% 18% 4%
14 GABERKORN Nadia - 1% 8% 23% 34% 25% 8%
15 ROSS Naomi O. - 2% 13% 31% 37% 17%
16 NI Emma 1% 6% 23% 37% 27% 6%
17 REID Anousheh - 2% 11% 28% 34% 20% 4%
18 DROVETSKY Alexandra M. - - 2% 12% 38% 48%
19 KUZNETSOV Victoria - - 4% 17% 36% 33% 10%
20 DOROSHKEVICH Victoriia - 1% 9% 27% 37% 22% 5%
21 LEUNG Natalie - 3% 15% 33% 35% 14%
22 CHU Audrey - 1% 6% 24% 42% 27%
23 LIN Elaine 12% 33% 33% 17% 4% -
24 LEANG Priscilla Y. - 3% 16% 34% 34% 13%
25 MILEWSKI Nicole 1% 10% 29% 36% 20% 3%
26 SZEWC Alexandra 2% 13% 32% 34% 17% 3%
27 LEE Yedda 2% 14% 30% 31% 17% 5% 1%
28 PAN Michelle 3% 15% 31% 31% 16% 4% -
29 PRIMES Amanda M. 8% 29% 37% 20% 5% -
30 SCHMIDT Lori M. - 4% 18% 37% 32% 8%
31 GLASSNER Sophia Rose S. 5% 22% 36% 27% 9% 1%
32 LEANG Andrea K. 2% 14% 32% 33% 16% 3%
33 LIU Christina A. 1% 11% 30% 36% 19% 3%
34 BALAKRISHNAN Monica S. - - 1% 8% 25% 40% 25%
35 BOK Michelle 3% 14% 29% 31% 17% 5% 1%
36 GUMAGAY Erika L. 1% 7% 25% 38% 23% 5%
37 SHEVCHENKO Viktoriia 4% 20% 34% 28% 11% 2%
38 LAN Alice S. - 2% 11% 27% 33% 21% 5%
39 DESAI Meera P. - 3% 14% 29% 32% 17% 4%
40 CHAN Elizabeth 2% 14% 31% 33% 17% 3%
41 IGOE Nirali B. 4% 19% 34% 29% 12% 2%
42 GAJJALA Sharika R. - 1% 7% 25% 41% 25%
43 BAJAJ Nikita K. 7% 25% 35% 24% 8% 1%
44 MAO Amy 2% 13% 32% 34% 16% 3%
45 LU Samantha R. 3% 17% 34% 31% 13% 2%
46 GAO Judy 9% 30% 35% 20% 5% 1%
47 ZAFFT Sharrie A. 2% 11% 28% 35% 20% 4%
48 SWEET Ryleigh E. 19% 40% 30% 9% 1% -
49 ASHER Valerie - 5% 19% 36% 31% 9%
50 MARCHANT Sandra M. - 4% 15% 29% 31% 17% 3%
51 FELAND Alexandra - 4% 16% 31% 31% 15% 3%
52 KALE Anika A. 2% 13% 33% 34% 16% 3% -
53 CAPELLUA Mariasole 1% 9% 26% 35% 22% 6% -
54 SIBLEY Elisabeth J. 4% 18% 33% 29% 13% 3% -
55 SAAL Anna 7% 28% 37% 22% 6% 1%
56 MUELLER Emma M. 6% 25% 37% 24% 7% 1%
57 KIM Elizabeth Y. 1% 10% 26% 35% 22% 5%
58 GANSER Yuliya 2% 12% 29% 34% 19% 4%
59 EBRAHIM Ameera H. 3% 14% 29% 31% 18% 5% 1%
60 SMUK Daria A. 1% 11% 29% 34% 20% 5% -
61 ABRAMSON Mariela R. 25% 43% 25% 6% 1% - -
62 PRIHODKO Nina 13% 35% 34% 15% 3% -
63 KIM Zoe L. 1% 10% 28% 36% 20% 4%
64 DARANOUVONG Logan 3% 18% 35% 31% 12% 1%
65 SMOTRITSKY Mia 1% 10% 30% 37% 19% 3%
66 MING Cynthia 16% 36% 32% 14% 3% -
67 WEBER Nora 1% 6% 20% 33% 27% 11% 2%
68 ZENG Katrina 27% 41% 24% 7% 1% - -
69 PROKOP Jeannine A. 11% 32% 35% 18% 4% -
70 PEARSON Heila 18% 38% 30% 11% 2% -
71 KIM Jayna 14% 36% 33% 13% 2% -
72 YAO KATHARINE 8% 29% 38% 21% 5% -
73 MYERS Jeanelle Christina A. 17% 39% 31% 11% 2% -
74 KENT Elizabeth J. 18% 39% 30% 11% 2% -
75 POLANICHKA Nicole P. 1% 5% 19% 34% 30% 11%
76 AHUJA Arianna 4% 20% 36% 29% 10% 1%
77 DAMRATOSKI Anna Z. - 5% 22% 36% 27% 9% 1%
78 LI Alisha 13% 33% 33% 16% 4% 1% -
79 RAINEY Zoe-Andrea 26% 40% 25% 8% 1% - -
80 MESCHIA Maggie 9% 28% 34% 21% 7% 1% -
81 SCHAFF Marlene M. 6% 24% 36% 25% 8% 1% -
82 CAREY Michele S. 5% 21% 33% 26% 11% 2% -
83 GLOVER Cynthia E. 18% 38% 30% 11% 2% -
84 MORGAN Elizabeth (Ella) R. 2% 13% 30% 34% 18% 4%
85 BOWIE Charlotta 33% 42% 20% 5% 1% -
86 POPOVICI Alina B. 13% 35% 35% 14% 3% -
87 NGUYEN Audrey 14% 35% 33% 15% 4% - -
88 HU Chelsea 22% 43% 26% 7% 1% - -
89 PROVANCE Amanda R. 1% 6% 20% 33% 27% 11% 2%

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.