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

May NAC

Div I Women's Épée

Saturday, May 8, 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 HURLEY Courtney L. - - - 1% 7% 33% 58%
2 KETKAR Ketki - - 3% 16% 36% 35% 10%
3 HURLEY Kelley A. - - - 1% 10% 37% 52%
3 PIRKOWSKI Amanda L. - - 1% 6% 23% 42% 28%
5 NIXON Catherine (Kasia) D. - - - - 3% 24% 73%
6 PATURU Meghana - - 3% 14% 34% 36% 12%
7 KHAMIS Yasmine A. - 2% 13% 33% 37% 15%
8 WASHINGTON Isis - - - - 2% 19% 79%
9 MACHULSKY Leehi - - 3% 12% 30% 37% 18%
10 LIU Charlene (Kai) - - 2% 13% 45% 40%
11 HOLMES Katharine (Kat) W. - - - - 6% 31% 63%
12 GUZZI VINCENTI Margherita A. - - - 2% 14% 41% 43%
13 BASSA Francesca A. - - - - 1% 15% 84%
14 O'DONNELL Amanda A. - - 4% 19% 40% 33% 3%
15 KUZNETSOV Victoria 2% 10% 27% 34% 22% 6% -
16 RUEDA Rylie 1% 7% 24% 37% 25% 6%
17 YEU Irene - - 3% 16% 38% 37% 6%
18 VAN BRUMMEN Anna C. - - - - 1% 16% 83%
19 WANG Karen - - 4% 16% 33% 33% 13%
20 TYLER Syd - 1% 5% 19% 37% 31% 7%
21 GU Sarah - 3% 15% 32% 33% 15% 2%
22 FALLON Kyle R. 1% 5% 19% 34% 30% 11% 1%
23 HUSISIAN Hadley N. - - - 3% 18% 42% 36%
24 CEBULA Anne - 1% 5% 19% 34% 31% 10%
25 BEITTEL Chloe F. - 5% 18% 33% 30% 12% 2%
26 BATES Cassandra L. - 1% 7% 28% 42% 22%
27 MALDONADO Pilar I. - 2% 11% 29% 35% 19% 4%
28 JOYCE Michaela - - - 2% 13% 40% 44%
29 GAJJALA Sharika R. 3% 15% 31% 31% 16% 4% -
30 CHIN Isabella - 6% 23% 37% 26% 7% -
31 KETKAR Mallika 1% 8% 24% 35% 24% 7% -
32 OXENREIDER Tierna A. - 2% 14% 35% 36% 13%
33 JAKEL Sophia N. - 3% 15% 32% 34% 14% 2%
34 DROVETSKY Alexandra M. - 5% 19% 34% 30% 11% 1%
35 GRADY Miriam A. - - 4% 22% 48% 26%
36 MANGANO Ariana J. - 1% 7% 22% 36% 27% 7%
37 PARK Faith K. - - 1% 7% 24% 41% 27%
38 MAO Amy 6% 22% 35% 26% 10% 2% -
39 ISERT Sarah 1% 7% 22% 33% 25% 9% 1%
40 WADE-CURRIE Ava S. - 3% 13% 30% 35% 18% 2%
41 KOWALSKY Rachel A. - 4% 18% 36% 31% 9% -
42 NI Emma 1% 8% 23% 34% 25% 9% 1%
43 CHU Audrey 2% 11% 28% 34% 20% 5% -
44 WATRALL Christina - 3% 15% 36% 34% 11%
45 WU Amelia - 6% 22% 36% 26% 8% 1%
46 BAJAJ Nikita K. 23% 41% 27% 8% 1% - -
47 ZHANG Victoria R. 12% 33% 34% 17% 4% - -
48 GEBALA Natalie Brooke A. - 3% 15% 33% 33% 14% 2%
49 WEISS Talia L. 1% 9% 27% 35% 22% 6% -
50 YAMANAKA Mina - 1% 5% 19% 37% 32% 8%
51 SZEWC Alexandra 14% 34% 33% 16% 4% - -
52 PADHYE Tanishka 2% 16% 35% 32% 13% 2% -
53 LUO Ashley 2% 14% 30% 33% 17% 4% -
54 WANG Elizabeth - 1% 8% 23% 35% 26% 7%
55 BALAKRISHNAN Monica S. - 3% 15% 32% 34% 15% 1%
56 TEMIRYAEV Anna M. 1% 9% 26% 36% 22% 6% 1%
57 BOYS Nishta B. 1% 10% 28% 34% 21% 6% 1%
58 RAUSCH Ariana (Ari) M. - 4% 17% 35% 33% 11%
59 SCHMIDT Lori M. 6% 27% 37% 22% 6% 1%
60 MCLANE Lauren - 1% 8% 24% 35% 25% 7%
61 LEUNG Natalie 1% 8% 25% 35% 23% 6% 1%
62 GANDHI Sedna S. - 1% 6% 22% 38% 27% 5%
63 CHOI Eunice 7% 26% 36% 23% 7% 1% -
63 MING Cynthia 17% 38% 31% 12% 2% - -
65 LIU Christina A. 5% 24% 40% 26% 5% -
66 PAPADAKIS Lily 11% 30% 34% 19% 5% 1% -
67 ZAFFT Tatiana M. - 2% 13% 31% 35% 16% 2%
68 RUNIONS Emersyn 2% 13% 30% 33% 18% 4% -
69 KIM Erika S. 12% 34% 34% 16% 4% - -
70 NELSON-LOVE Lily B. 4% 22% 35% 27% 10% 2% -
71 LIN Katie Y. 3% 17% 35% 31% 12% 2%
72 JAMES Josephine 34% 43% 19% 3% - -
73 MORGAN Elizabeth (Ella) R. 16% 39% 32% 11% 2% -
74 MEHROTRA Anya 11% 35% 36% 15% 3% -
75 GAO Judy 8% 31% 37% 19% 4% - -
76 SAAL Anna 12% 33% 33% 17% 4% 1% -
77 LEE Michelle J. 1% 10% 27% 34% 21% 6% 1%
78 SMUK Daria A. 12% 33% 34% 16% 4% - -
78 KIM Elizabeth Y. 4% 18% 33% 29% 13% 2% -
80 DOROSHKEVICH Victoriia 3% 19% 37% 29% 10% 2% -
81 LAWSON Marie A. 1% 8% 25% 36% 23% 7% 1%
81 CAPELLUA Mariasole 17% 37% 30% 12% 3% - -
83 MCCUTCHEN Lauren (Lulu) 4% 24% 38% 25% 7% 1% -
83 HENRY Asha S. 7% 25% 36% 24% 8% 1% -
85 REID Anousheh 8% 30% 36% 20% 5% 1% -
86 TONCHEVA Victoria M. 1% 5% 19% 34% 30% 11% 1%
87 ZUHARS Renee A. 1% 6% 21% 33% 27% 10% 1%
88 FELAND Alexandra 6% 24% 35% 25% 9% 1% -
89 CHAN Elizabeth 8% 32% 37% 18% 4% - -
90 SEBASTIAN Felicity A. - 6% 23% 37% 26% 7% -
91 GLASSNER Sophia Rose S. 50% 38% 11% 1% - - -
92 KIM Zoe L. 9% 34% 38% 16% 2% -
93 RASMUSSEN Ashelee 16% 39% 32% 11% 2% -
94 ASHER Valerie 5% 21% 35% 27% 10% 2% -
95 DOUGLAS Julia F. 1% 10% 29% 37% 20% 4% -
96 WANG Nora 2% 13% 30% 33% 18% 4% -
96 CHAN Cheri K. 5% 20% 34% 28% 11% 2% -
98 AHUJA Arianna 9% 28% 35% 21% 6% 1% -
99 JANOWSKI Madeline (Madeline Janowski) A. 3% 15% 31% 32% 16% 3% -
100 SWEET Ryleigh E. 12% 32% 34% 17% 4% - -
100 EBRAHIM Ameera H. 12% 32% 34% 18% 5% 1% -
102 BOWIE Charlotta 37% 42% 18% 3% - - -
103 LEANG Andrea K. 3% 15% 32% 31% 15% 3% -
104 DARANOUVONG Logan 9% 29% 36% 20% 5% 1% -
105 CAREY Michele S. 11% 33% 35% 17% 4% - -
106 ZHANG Tina Tianyi 2% 10% 27% 34% 21% 5% -
106 WEBER Nora 4% 19% 34% 29% 12% 2% -
108 DESAI Meera P. 7% 26% 35% 23% 8% 1% -
109 GUMAGAY Erika L. 37% 42% 18% 3% - -
110 MILLER Veronica 12% 33% 33% 17% 4% 1% -
111 FILIPPOV Nika D. 5% 23% 36% 25% 8% 1% -
112 DAMRATOSKI Anna Z. 35% 41% 19% 4% - - -
113 LEANG Priscilla Y. 3% 20% 39% 29% 7% 1%
114 SMITH Grace L. 2% 17% 36% 31% 11% 2% -
115 PROKOP Jeannine A. 10% 31% 36% 19% 5% 1% -
116 HESS Heidi J. 39% 42% 16% 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.