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

May NAC

Junior Women's Épée

Sunday, May 9, 2021 at 1:30 PM

Richmond, VA - Richmond, VA, 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. - - - 1% 6% 31% 62%
2 KETKAR Ketki - - 2% 15% 41% 41%
3 FALLON Kyle R. - 1% 5% 18% 36% 32% 8%
3 WANG Karen - 1% 6% 23% 43% 28%
5 PARK Faith K. - - - 1% 7% 33% 59%
6 CHU Audrey - 3% 13% 30% 35% 17% 2%
7 WATRALL Christina - - 1% 8% 25% 40% 25%
8 PIRKOWSKI Amanda L. - - - 4% 18% 42% 37%
9 OXENREIDER Tierna A. - - 3% 18% 44% 34%
10 JOYCE Michaela - - - 1% 8% 34% 57%
11 MANGANO Ariana J. - - - 3% 18% 44% 34%
12 WADE-CURRIE Ava S. - 6% 25% 40% 25% 5%
13 KETKAR Mallika 1% 5% 19% 32% 29% 12% 2%
14 BALAKRISHNAN Monica S. - 2% 10% 26% 34% 22% 5%
15 FILIPPOV Nika D. 3% 18% 35% 30% 12% 2% -
16 ZUHARS Renee A. - 2% 12% 30% 34% 18% 3%
17 YAMANAKA Mina - - - 4% 18% 41% 36%
18 GANDHI Sedna S. - - 3% 17% 42% 38%
19 JAMES Josephine 8% 30% 38% 20% 4% < 1%
20 DOUGLAS Julia F. - 5% 22% 37% 27% 8% 1%
21 DROVETSKY Alexandra M. - - 2% 11% 31% 39% 16%
22 LIU Christina A. - 4% 19% 38% 31% 8%
23 NELSON-LOVE Lily B. 1% 8% 30% 39% 19% 3%
24 WONG Alexandra R. 10% 33% 35% 17% 4% - -
25 HENRY Asha S. - 4% 17% 33% 30% 13% 2%
26 GU Sarah - - 3% 14% 34% 36% 12%
27 KUZNETSOV Victoria - 3% 18% 37% 30% 10% 1%
28 ZAFFT Tatiana M. - - - 4% 20% 43% 32%
29 BOYS Nishta B. - 1% 10% 29% 38% 20% 3%
30 TEMIRYAEV Anna M. 1% 12% 30% 34% 18% 4% -
31 WANG Elizabeth - - 3% 14% 32% 36% 14%
32 CHOI Eunice 1% 10% 27% 35% 21% 5% -
33 CHIN Isabella - - 2% 11% 29% 39% 19%
34 MACHULSKY Leehi - - 1% 7% 24% 40% 27%
35 LEE Yedda 4% 18% 33% 29% 13% 3% -
36 WEISS Talia L. - 3% 13% 31% 34% 17% 3%
37 CHAN Elizabeth 1% 10% 29% 36% 20% 4% -
38 RAUSCH Ariana (Ari) M. - - 1% 5% 22% 43% 29%
39 DOROSHKEVICH Victoriia 1% 8% 23% 33% 25% 9% 1%
40 O'DONNELL Amanda A. - 2% 11% 31% 40% 16%
41 YEU Irene - - - 1% 8% 34% 57%
42 KOWALSKY Rachel A. - 3% 13% 29% 33% 18% 4%
43 LEANG Andrea K. - 5% 21% 37% 28% 8% 1%
44 ZHANG Victoria R. 1% 7% 23% 35% 25% 8% 1%
45 FELAND Alexandra 3% 16% 34% 31% 13% 3% -
46 LEE Michelle J. - 1% 9% 26% 38% 23% 3%
47 MALDONADO Pilar I. - 1% 9% 28% 38% 21% 3%
47 RUNIONS Emersyn - 4% 18% 34% 30% 12% 2%
49 BEITTEL Chloe F. - 1% 7% 28% 45% 20%
50 DAMRATOSKI Anna Z. 11% 36% 36% 15% 2% -
51 WU Amelia - 1% 7% 27% 43% 22%
52 BAJAJ Nikita K. 3% 27% 40% 23% 6% -
53 NI Emma - 4% 18% 34% 31% 11% 1%
54 GAJJALA Sharika R. - 3% 18% 36% 31% 11% 1%
55 KIM Elizabeth Y. 4% 19% 33% 29% 13% 3% -
56 GEBALA Natalie Brooke A. - 2% 12% 32% 36% 16% 2%
56 PAPADAKIS Lily 2% 12% 31% 34% 17% 4% -
58 MEHROTRA Anya - 4% 18% 33% 31% 12% 2%
59 TYLER Syd - - 1% 9% 29% 42% 18%
60 SAAL Anna 3% 15% 31% 31% 16% 4% -
61 LEANG Priscilla Y. 1% 12% 33% 37% 15% 2%
62 SZEWC Alexandra 3% 17% 34% 30% 13% 3% -
63 KORFONTA Jolie 11% 30% 34% 19% 5% 1% -
64 CHENG Ava - 8% 28% 39% 21% 4%
65 GUMAGAY Erika L. 1% 7% 25% 36% 24% 7% 1%
66 LIN Katie Y. - 1% 7% 26% 43% 23%
67 KIM Zoe L. 9% 30% 36% 20% 5% -
68 SMUK Daria A. 2% 12% 32% 36% 16% 2%
69 MCCLAIN-YU Eri M. 1% 7% 22% 33% 26% 10% 1%
70 LUO Ashley 1% 5% 19% 34% 29% 11% 1%
71 ZHANG Tina Tianyi - 5% 24% 38% 25% 7% -
72 WANG Nora - 4% 17% 34% 31% 12% 2%
73 PADHYE Tanishka - 3% 16% 33% 33% 13% 2%
74 REID Anousheh 5% 21% 34% 26% 11% 2% -
75 CAPELLUA Mariasole 4% 20% 35% 28% 11% 2% -
76 GAO Judy 4% 20% 35% 28% 11% 2% -
77 AHUJA Arianna 1% 15% 37% 33% 12% 1%
78 LEUNG Natalie - 5% 23% 40% 27% 5%
79 MILEWSKI Nicole 4% 24% 40% 25% 6% -
80 DESAI Meera P. 10% 31% 36% 19% 4% -
81 LI Alisha 37% 46% 15% 2% - - -
82 WITTE Vera 6% 24% 36% 24% 8% 1% -
83 MCCUTCHEN Lauren (Lulu) - 4% 19% 36% 30% 10% 1%
84 MUN Brianna K. 42% 41% 15% 2% - - -
85 BYBEE Lucy J. 31% 43% 21% 5% 1% - -
86 SMITH Grace L. 1% 5% 18% 32% 29% 13% 2%
87 LU Samantha R. 14% 36% 34% 14% 2% -
88 CHAN Cheri K. 7% 27% 37% 23% 6% 1%
88 YAO KATHARINE 19% 46% 28% 7% 1% -
90 CALDERA Lexi I. 8% 27% 34% 22% 8% 1% -
90 LONADIER Keira 7% 27% 36% 23% 7% 1% -
92 JANOWSKI Madeline (Madeline Janowski) A. 1% 7% 25% 37% 24% 6% -
93 DUARTE-GARCIA Zoya A. 31% 46% 19% 4% - - -
94 ZENG Katrina 24% 40% 26% 8% 1% - -
95 PAN Michelle 4% 21% 36% 27% 10% 2% -
96 PALANSKI Cate 2% 15% 33% 32% 14% 3% -
97 NGUYEN Audrey 18% 37% 30% 12% 2% - -
98 MILLER Veronica 5% 22% 35% 26% 9% 1% -
99 SHERTZ Kira E. 23% 40% 27% 9% 1% - -
99 WEBER Nora 5% 21% 34% 27% 11% 2% -
101 BONDAR Nika 42% 40% 15% 3% - - -
102 HIRSCH Naomi B. 27% 46% 22% 5% - - -
103 KIM Erika S. 3% 16% 34% 31% 13% 2% -
104 HESS Heidi J. 11% 37% 35% 14% 2% - -
105 LIU Nicole 42% 43% 13% 2% - -
106 MACEDON Gianna 68% 27% 4% - - -
107 MOON Seojung 28% 42% 23% 6% 1% - -
108 MAO Amy 7% 27% 37% 23% 6% 1%
109 PEELER Julia 36% 43% 18% 3% - -
110 HU Chelsea 45% 39% 13% 2% - - -
111 ZAKHAROV Anne (Anya) E. 16% 38% 33% 12% 2% -
112 MING Cynthia 14% 34% 32% 15% 4% - -
113 EBRAHIM Ameera H. 4% 20% 34% 27% 11% 2% -
114 BOLES Savvianna 26% 47% 22% 5% - - -

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.