May NAC

Cadet Women's Épée

Friday, May 7, 2021 at 8:45 AM

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 PATURU Meghana - - 1% 6% 22% 42% 29%
2 MACHULSKY Leehi - - - 4% 19% 41% 35%
3 OXENREIDER Tierna A. - - 3% 19% 45% 34%
3 KHAMIS Yasmine A. - - - 1% 8% 35% 55%
5 KETKAR Ketki - - - 3% 16% 41% 39%
6 WATRALL Christina - - - 2% 13% 40% 45%
7 CHIN Isabella - - 1% 10% 31% 41% 17%
8 WANG Elizabeth - - - 2% 15% 43% 40%
9 DOUGLAS Julia F. - 2% 12% 30% 35% 18% 3%
10 TYLER Syd - - 1% 8% 27% 42% 23%
11 SMITH Grace L. 1% 10% 29% 36% 20% 4%
12 DROVETSKY Alexandra M. - - 2% 12% 32% 38% 16%
13 MCLANE Lauren - - 1% 5% 20% 41% 33%
14 GU Sarah - 3% 17% 36% 33% 11%
15 FELAND Alexandra 1% 8% 25% 36% 24% 7% -
16 ELSTON Sophia 11% 33% 35% 17% 4% -
17 JAKEL Sophia N. - - 3% 15% 34% 35% 12%
18 MAO Amy - 3% 15% 32% 33% 15% 2%
19 NGUYEN Tallulah 2% 11% 30% 34% 18% 4% -
20 WANG Nora - 1% 10% 30% 40% 19%
21 PEELER Julia 35% 43% 19% 4% < 1% -
22 KETKAR Mallika - 1% 7% 22% 37% 27% 7%
23 GEBALA Natalie Brooke A. - - 4% 16% 34% 34% 12%
24 DOROSHKEVICH Victoriia - 1% 7% 24% 38% 25% 5%
25 GANDHI Sedna S. - - - 3% 15% 40% 42%
26 DAMRATOSKI Anna Z. 7% 26% 36% 23% 7% 1% -
27 FALLON Kyle R. - 2% 16% 41% 33% 8%
28 CHOI Eunice - 4% 18% 34% 30% 12% 2%
29 WU Amelia - - 2% 12% 31% 38% 17%
30 TEMIRYAEV Anna M. - 1% 9% 26% 36% 23% 5%
31 LU Samantha R. 8% 28% 36% 21% 6% 1% -
32 KUZNETSOV Victoria 1% 10% 30% 36% 19% 4%
33 LEANG Priscilla Y. - - 2% 12% 37% 38% 11%
34 LIN Katie Y. - 1% 9% 28% 41% 21%
35 WANG Karen - - - 4% 20% 44% 32%
36 LIU Christina A. - 2% 12% 30% 35% 18% 3%
37 SMUK Daria A. 1% 7% 25% 36% 23% 7% 1%
38 MING Cynthia 1% 9% 29% 38% 19% 4% -
39 ZAFFT Tatiana M. - - - 2% 15% 43% 40%
40 PADHYE Tanishka 3% 16% 34% 33% 13% 2%
41 LEUNG Natalie - 1% 10% 31% 39% 18%
42 ZIGALO Elizabeth 2% 18% 36% 30% 11% 2%
43 SEBASTIAN Felicity A. - 1% 8% 33% 42% 16%
44 PAN Michelle 1% 10% 27% 34% 21% 6% 1%
45 KORFONTA Jolie 1% 10% 31% 36% 18% 4% -
46 WITTE Vera 7% 26% 36% 23% 7% 1% -
47 SMOTRITSKY Mia 1% 14% 33% 33% 15% 3% -
48 MALLAVARPU Aarthi C. - 3% 15% 32% 33% 15% 2%
49 CHAN Elizabeth - 7% 24% 36% 25% 8% 1%
50 JAMES Josephine 5% 24% 38% 25% 7% 1%
51 DESAI Meera P. - 1% 10% 29% 38% 18% 3%
52 MEHROTRA Anya - 1% 10% 28% 37% 20% 3%
53 MCCLAIN-YU Eri M. - 5% 18% 33% 30% 12% 2%
54 O'DONNELL Amanda A. - - - 4% 20% 43% 33%
55 AHUJA Arianna 4% 21% 38% 28% 9% 1%
56 LUO Ashley - 2% 13% 34% 37% 14%
57 WADE-CURRIE Ava S. - 2% 11% 31% 39% 17%
58 KIM Erika S. 15% 36% 33% 13% 2% -
59 HESS Heidi J. 6% 24% 36% 25% 8% 1% -
60 MCCUTCHEN Lauren (Lulu) - 2% 11% 30% 36% 18% 3%
61 FURMAN Maria 4% 23% 38% 26% 8% 1% -
62 GAO Judy - 10% 31% 35% 19% 5% -
63 NELSON-LOVE Lily B. - 3% 17% 36% 33% 11%
63 YAO KATHARINE 11% 36% 36% 15% 3% -
65 RUNIONS Emersyn - 2% 11% 31% 37% 17% 3%
66 ZUHARS Renee A. - 2% 11% 27% 35% 21% 4%
67 MALDONADO Pilar I. - - 2% 10% 32% 41% 14%
68 WITTER Catherine A. 15% 39% 32% 12% 2% - -
69 CALDERA Lexi I. 3% 15% 32% 31% 15% 3% -
70 PAPADAKIS Lily 1% 8% 25% 35% 23% 7% 1%
71 REID Anousheh - 5% 22% 37% 27% 8% 1%
71 HAFEEZ Hania 3% 20% 36% 28% 11% 2% -
73 DARANOUVONG Logan 1% 7% 24% 36% 25% 7% 1%
74 BALAKRISHNAN Monica S. - 5% 21% 37% 29% 8%
75 ZHANG Victoria R. - 5% 21% 38% 29% 8%
76 KIM Zoe L. - 3% 18% 34% 31% 12% 2%
77 WEBER Nora 1% 5% 19% 34% 29% 11% 1%
78 CHAN Cheri K. - - 3% 17% 39% 33% 8%
79 LONADIER Keira 4% 20% 37% 28% 10% 2% -
80 CAPELLUA Mariasole 1% 13% 32% 34% 16% 3% -
81 HAFEEZ Hiba 2% 15% 33% 32% 15% 3% -
82 ZHANG Tina Tianyi - 1% 8% 25% 37% 24% 5%
83 AZMEH nour 12% 33% 34% 17% 4% - -
84 YOON Katherine 27% 44% 24% 5% - - -
85 ZENG Katrina 3% 17% 38% 31% 10% 1% -
86 SHERTZ Kira E. 12% 36% 35% 14% 3% -
87 KIM Elizabeth Y. 1% 13% 43% 33% 9% 1%
88 SWENSON Nikita G. 4% 23% 38% 26% 8% 1% -
89 GAJJALA Sharika R. - 1% 8% 25% 38% 25% 4%
90 GABERKORN Nadia - 1% 8% 24% 36% 25% 6%
91 MUELLER Emma M. 12% 33% 34% 17% 4% - -
92 GUMAGAY Erika L. 1% 6% 24% 38% 25% 6% 1%
93 WONG Alexandra R. 11% 36% 35% 14% 3% - -
94 PALANSKI Cate - 5% 21% 36% 28% 9% 1%
95 SAAL Anna 3% 17% 33% 30% 13% 3% -
96 NEELAM Neha 40% 41% 16% 3% - - -
97 CHANG Ella 27% 43% 24% 6% 1% -
98 LEE Michelle J. - 3% 14% 33% 35% 14%
99 LI Alisha 26% 53% 19% 2% - -
100 MOON Seojung 55% 35% 9% 1% - -
101 ALEXANDROV Katherine S. - 4% 17% 33% 31% 14% 2%
102 LIN Elaine 2% 17% 37% 32% 10% 1% -
103 POPOVICI Alina B. 1% 18% 37% 30% 12% 2% -
104 BURCHETT Victoria 13% 34% 34% 16% 4% - -
104 NGUYEN Audrey 7% 30% 37% 20% 5% 1% -
106 MUN Brianna K. 28% 41% 24% 7% 1% - -
107 GAURIAT Jade S. 22% 40% 27% 9% 2% - -
108 RAINEY Zoe-Andrea 15% 42% 31% 10% 1% - -
109 CHENG Ava 1% 6% 22% 35% 27% 9% 1%
110 GEVA Eliana 50% 38% 11% 1% - - -
110 TYTELL Elizabeth 41% 42% 14% 2% - - -
112 SPRINGER Sierra 49% 42% 8% 1% - -
113 LIU Nicole 9% 31% 36% 19% 5% 1% -
114 LEE Yedda 6% 25% 37% 25% 7% 1%
115 DILLE Carolina G. 27% 43% 24% 6% 1% - -
116 KIM Jayna 7% 31% 38% 19% 4% - -
117 MACEDON Gianna 56% 35% 8% 1% - - -
118 NIKOLIC DE JACINTO Alix P. 85% 14% 1% - - - -
118 NELSON Grace E. 59% 33% 7% 1% - - -
118 BYBEE Lucy J. 33% 43% 20% 4% - - -
121 CHANG Ella 18% 41% 31% 9% 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.