June NAC

Junior Women's Épée

Monday, June 7, 2021 at 9:00 AM

, - 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. - - - - 3% 26% 70%
2 MCCLAIN-YU Eri M. 2% 13% 29% 32% 18% 5% 1%
3 OXENREIDER Tierna A. - - 2% 13% 40% 45%
3 KETKAR Ketki - - - 2% 12% 39% 47%
5 WATRALL Christina - - - 1% 12% 45% 41%
6 KUZNETSOV Victoria - 1% 8% 24% 35% 25% 7%
7 KHAMIS Yasmine A. - - 1% 5% 20% 42% 33%
8 JOYCE Michaela - - 1% 7% 34% 58%
9 BEI Karen 1% 7% 25% 39% 25% 4%
10 CHIN Isabella - - 3% 15% 34% 35% 14%
11 KOWALSKY Rachel A. - 4% 16% 30% 31% 16% 3%
12 GAJJALA Sharika R. - 1% 12% 31% 35% 17% 3%
13 GEBALA Natalie Brooke A. - - 5% 23% 41% 27% 3%
14 WANG Karen - - - 6% 35% 59%
15 CHENG Ava 6% 24% 35% 25% 9% 1%
16 RUNIONS Emersyn - 2% 11% 31% 38% 17%
17 LIN Katie Y. - - 1% 9% 30% 43% 18%
18 LIN Jessica Y. - - - 3% 26% 71%
19 GANDHI Sedna S. - 1% 7% 26% 41% 25%
20 LURYE Sarah - - 1% 7% 26% 41% 24%
21 RAUSCH Ariana (Ari) M. - - - 3% 18% 44% 35%
22 MACHULSKY Leehi - - - 3% 16% 40% 40%
23 GU Sarah - 2% 10% 28% 40% 21%
24 NGUYEN Kira 2% 12% 31% 36% 17% 2%
25 CHOI Eunice - 6% 23% 38% 27% 7%
26 NELSON-LOVE Lily B. - 5% 21% 41% 30% 3%
27 O'DONNELL Amanda A. - - 1% 8% 27% 41% 23%
28 WU Amelia - 1% 8% 24% 37% 25% 5%
29 MING Cynthia 1% 18% 41% 32% 8% -
30 GABERKORN Nadia - 2% 12% 28% 33% 20% 4%
31 WEBER Nora 5% 24% 38% 25% 7% 1%
32 ZUHARS Renee A. - 3% 16% 35% 34% 11%
33 DROVETSKY Alexandra M. - - - 3% 20% 49% 27%
34 YANG Miranda (Yinuo) - - 4% 18% 37% 31% 9%
35 PARK Faith K. - - - 2% 21% 77%
36 LEE Sumin - - 3% 14% 34% 36% 13%
37 KETKAR Mallika - 1% 8% 32% 46% 13%
38 PIRKOWSKI Amanda L. - - 1% 7% 25% 42% 26%
39 LUO Ashley 1% 6% 22% 34% 26% 10% 1%
40 CHU Audrey 1% 7% 23% 35% 26% 7%
41 NI Emma 1% 8% 25% 36% 24% 6%
42 KIM Elizabeth Y. 4% 21% 36% 28% 10% 1%
43 MCLANE Lauren - - 3% 14% 34% 36% 13%
44 SMOTRITSKY Mia 4% 18% 32% 29% 13% 3% -
45 LEUNG Natalie - 2% 10% 25% 34% 23% 6%
46 REID Anousheh 4% 21% 36% 27% 10% 2% -
47 ZHANG Victoria R. 4% 17% 32% 29% 14% 4% -
48 HU Grace - 1% 5% 21% 38% 29% 6%
49 NGUYEN Kaylin A. - 2% 12% 30% 35% 18% 3%
50 LONADIER Keira 8% 30% 37% 20% 5% 1% -
51 PATURU Meghana - - 4% 14% 31% 35% 15%
52 JAMES Josephine 5% 21% 34% 27% 11% 2% -
53 HESS Heidi J. 7% 34% 38% 17% 4% - -
54 TYLER Syd - 2% 12% 30% 37% 18%
55 PADHYE Tanishka 1% 7% 24% 36% 25% 7%
56 MAO Amy 3% 17% 33% 31% 13% 2%
57 KORFONTA Jolie 10% 31% 35% 19% 5% -
58 MYERS Jeanelle Christina A. 8% 28% 36% 22% 6% 1%
59 PAPADAKIS Lily 1% 19% 41% 31% 8% -
60 NING Emma - 1% 9% 27% 37% 22% 5%
61 LEE Michelle J. - 2% 14% 39% 39% 6%
62 AHUJA Arianna 10% 30% 35% 19% 5% 1%
63 WHITTEMORE Lucy K. 5% 26% 39% 24% 6% -
64 LU Junyao - 2% 12% 32% 35% 17% 3%
65 FALLON Kyle R. - - 4% 17% 35% 33% 11%
66 MALLAVARPU Aarthi C. 2% 12% 31% 34% 17% 3%
67 JANOWSKI Madeline (Madeline Janowski) A. 1% 12% 32% 35% 17% 3%
68 MEHROTRA Anya - 2% 14% 36% 35% 12% 1%
69 COBERT Helen G. - 2% 13% 32% 35% 14% 2%
70 LU Samantha R. 1% 12% 35% 36% 14% 2% -
71 CHEN Lefu - 2% 10% 28% 36% 20% 4%
72 MCCUTCHEN Lauren (Lulu) - 2% 17% 38% 32% 10% 1%
73 WADE-CURRIE Ava S. - 4% 18% 38% 33% 8%
74 ZHANG Tina Tianyi 3% 19% 37% 31% 10% 1%
75 MUTAKABBIR amira 6% 24% 36% 25% 8% 1%
76 ZENG Katrina 23% 43% 26% 7% 1% -
77 LONG Cindy 1% 6% 20% 33% 28% 11% 1%
78 BENATER Lauren 1% 6% 22% 34% 26% 10% 2%
79 CAPELLUA Mariasole 1% 8% 26% 37% 22% 5% -
80 LEE Yedda 3% 18% 34% 29% 13% 3% -
81 LEE kyungmin - 5% 20% 35% 28% 10% 1%
82 LEANG Priscilla Y. - 2% 15% 34% 33% 14% 2%
83 SCHAFF Marlene M. 6% 23% 34% 25% 10% 2% -
84 EBRAHIM Ameera H. 2% 22% 40% 26% 8% 1% -
85 WONG Alexandra R. 2% 17% 39% 32% 10% 1% -
86 GITHENS Gracyn J. - 5% 27% 40% 23% 5% -
86 SZEWC Alexandra 2% 13% 32% 34% 16% 3% -
88 HICKS Grace 36% 42% 18% 4% - - -
89 WANG Elizabeth - 3% 15% 34% 35% 12%
90 KIM Zoe L. 2% 21% 42% 29% 6% -
91 MALDONADO Pilar I. 1% 7% 24% 36% 26% 7%
91 NGUYEN Tallulah 4% 22% 39% 27% 7% -
93 BALAKRISHNAN Monica S. - 3% 13% 32% 36% 16%
93 SHEN Stephanie 1% 19% 41% 31% 8% -
95 BAJAJ Nikita K. 19% 38% 30% 11% 2% -
96 SANTA Bianca Estefania 10% 33% 37% 17% 3% -
97 DAMRATOSKI Anna Z. 2% 16% 37% 33% 11% 1%
98 KIM Erika S. 4% 31% 42% 20% 3% -
99 CHIRASHNYA Noya 17% 39% 32% 11% 2% -
100 ZAKHAROV Anne (Anya) E. 24% 41% 26% 8% 1% - -
101 FURMAN Maria 3% 25% 40% 25% 7% 1% -
102 LIU Nicole 3% 49% 36% 10% 1% - -
103 MARTUS Cosima O. - 1% 8% 25% 39% 23% 4%
104 CHERNIS Zoe C. - 1% 11% 33% 40% 14% 1%
104 YAO KATHARINE 5% 25% 38% 25% 7% 1% -
106 CHOI Lyla - 1% 7% 22% 35% 27% 9%
107 KRUMHOLZ Nicole 56% 35% 8% 1% - - -
108 LAVERY Chloe K. - 3% 21% 37% 28% 9% 1%
109 SAAL Anna 14% 33% 32% 16% 4% 1% -
110 SMITH Grace L. - 1% 9% 28% 36% 21% 5%
111 LIU Christina A. 1% 6% 23% 36% 25% 8% 1%
112 HAMILTON Nina M. 11% 33% 36% 17% 3% - -
113 CHAN Cheri K. 6% 25% 37% 24% 7% 1%
113 YU Sheerea 22% 42% 27% 8% 1% -
115 DESAI Meera P. 5% 21% 35% 27% 10% 1%
116 PINNAMANENI Drithi 71% 25% 3% - - -
117 CHAN Elizabeth 5% 22% 36% 27% 9% 1%
118 SENYUVA Su 39% 41% 16% 3% - -
119 SHAMSIAN Shaya 2% 15% 35% 34% 13% 1%
120 GUMAGAY Erika L. 2% 14% 32% 33% 15% 3%
121 BOTNER Olivia 1% 15% 40% 34% 9% 1%
122 MAMEDOVA Farah 75% 23% 2% - - -
123 WEISS Talia L. - 3% 12% 28% 34% 20% 4%
124 DARANOUVONG Logan 6% 25% 38% 24% 7% 1% -
125 ABRAMSON Mariela R. 8% 35% 38% 16% 2% - -
126 PEELER Julia 13% 36% 34% 14% 3% - -
127 LIN Waiyuk - 4% 18% 35% 30% 11% 2%
128 BLAKE Caira 5% 22% 34% 26% 11% 2% -
129 GAO Judy 1% 14% 34% 33% 14% 3% -
130 ALEXANDROV Katherine S. 3% 17% 32% 30% 15% 4% -
130 ELSTON Sophia 4% 22% 37% 27% 8% 1% -
132 LI Alisha 30% 43% 22% 5% 1% - -
133 CHANG Ella 13% 55% 27% 5% - - -
134 SLACKMAN Valerie 12% 33% 34% 17% 4% -
135 GLASSNER Sophia Rose S. 17% 39% 31% 11% 2% -
136 WELLS Emily 29% 43% 22% 5% - -
137 GELMAN Emily 66% 30% 4% - - - -
138 CAI Catelynn 53% 37% 9% 1% - - -
139 MESCHIA Maggie 23% 40% 27% 9% 1% -
140 REITINGER Emilie B. 10% 31% 35% 18% 5% 1% -
141 MIHILL Margaret 90% 10% - - - - -
142 RAI Ananya 52% 37% 10% 1% - - -
143 SHERTZ Kira E. 14% 36% 34% 13% 2% - -
144 DUSHYNA Valeriya 70% 26% 4% - - - -

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.