USA Fencing National Championships & July Challenge

Cadet Women's Épée

Monday, July 1, 2019 at 1:00 PM

Columbus, OH - Columbus, OH, USA

Probability density of pool victories

Reset

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. - - - - 4% 29% 67%
2 JOYCE Michaela - - - - 5% 29% 66%
3 ROBLES Elena - - 2% 10% 29% 39% 19%
3 DING Jiahe (Heidi) - - - 4% 29% 67%
5 KHROL Jaclyn - - - 2% 11% 39% 48%
6 TYLER Syd - - 3% 14% 32% 35% 15%
7 KHAMIS Yasmine A. - - - 1% 8% 35% 56%
8 CHEN Zhengnan(Janet) - - 1% 9% 29% 40% 21%
9 LIN Jessica Y. - - - - 1% 16% 82%
10 WANG anne 1% 8% 24% 34% 24% 8% 1%
11 LEE Sumin - - 1% 8% 26% 41% 24%
12 KETKAR Ketki - - - 4% 18% 41% 37%
13 WHITTEMORE Lucy K. - 1% 9% 25% 36% 24% 5%
14 ORTEGA Ivanna S. - - 1% 6% 26% 45% 22%
16 WANG Karen - - 1% 7% 24% 41% 27%
17 MCLANE Lauren - - 4% 17% 35% 33% 12%
18 WU Amelia - - 3% 14% 33% 36% 12%
19 MALDONADO Pilar I. - - 3% 16% 35% 34% 12%
20 PATURU Meghana - - 1% 7% 24% 41% 28%
20 LEUNG Natalie - - 1% 9% 30% 41% 18%
22 O'DONNELL Amanda A. - - 1% 6% 22% 41% 31%
23 HENRY Asha S. - 2% 14% 34% 35% 14% 1%
24 MACHULSKY Leehi - - 1% 5% 21% 42% 31%
25 GHIDINA O'Livia G. - - 2% 12% 31% 38% 17%
26 HU Grace - 2% 10% 27% 36% 21% 4%
27 DROVETSKY Alexandra M. - - 2% 11% 31% 39% 17%
28 ZAFFT Tatiana M. - - 2% 12% 32% 39% 15%
29 MILLER Veronica 2% 11% 28% 34% 20% 5% 1%
30 NGUYEN Kaylin A. - 2% 10% 27% 35% 21% 4%
31 WANG Nora - 3% 14% 31% 32% 16% 3%
32 GABERKORN Nadia - 2% 13% 37% 41% 7%
33 PARK Faith K. - - - 2% 15% 45% 38%
34 LEANG Priscilla Y. 1% 8% 25% 35% 23% 7% 1%
35 GANDHI Sedna S. - - 1% 6% 23% 41% 29%
36 DESAMOURS Sabine I. - 2% 9% 25% 35% 24% 6%
37 MILEWSKI Nicole 3% 21% 37% 28% 9% 1% -
38 LEE Michelle - 2% 15% 41% 35% 7%
39 WEISS Talia L. - 2% 11% 27% 34% 21% 5%
40 TOLBA Salma - 5% 23% 36% 26% 9% 1%
41 KOWALSKY Rachel A. - 1% 9% 29% 37% 20% 4%
42 GRESHAM Rebekah L. - 2% 11% 27% 34% 21% 4%
43 WANG Elizabeth - - 1% 5% 21% 42% 31%
44 COBERT Helen G. - 1% 4% 17% 35% 32% 11%
45 BENATER Lauren 1% 8% 25% 34% 23% 8% 1%
46 LEE kyungmin - 1% 6% 20% 34% 29% 10%
47 SLACKMAN Valerie 2% 13% 31% 33% 17% 4% -
48 NING Emma - 1% 7% 26% 40% 23% 3%
49 TSANG JAFFE Avi 4% 20% 34% 28% 12% 2% -
50 SMUK Daria A. 1% 10% 27% 34% 21% 6% 1%
51 KIM Zoe L. 1% 10% 30% 36% 18% 4% -
52 CHOI Eunice 13% 33% 33% 16% 4% 1% -
53 KIM Elizabeth Y. 5% 23% 39% 26% 6% -
54 LIN Katie Y. - 2% 14% 40% 36% 8%
55 WU Fan 2% 12% 28% 32% 20% 6% 1%
57 BEI Karen - 1% 7% 26% 41% 23% 2%
58 BURN Lauren M. - 3% 15% 32% 33% 15% 2%
58 GU Sarah - 2% 14% 32% 33% 16% 3%
60 KETKAR Mallika - - 4% 17% 36% 33% 8%
60 DOUGLAS Julia F. - 3% 14% 31% 33% 16% 3%
62 SAUL Nicole 5% 23% 36% 25% 9% 1% -
63 SAAL Anna 3% 17% 34% 31% 13% 3% -
64 LUO Ashley 1% 7% 23% 34% 25% 8% 1%
65 XU Grace (XinYi) - 2% 9% 27% 37% 21% 4%
66 GRESHAM Sarah L. - - 3% 13% 31% 37% 17%
67 TONG Sarah Shen 2% 12% 31% 34% 17% 4% -
68 JANOWSKI Madeline (Madeline Janowski) A. 1% 8% 24% 35% 24% 8% 1%
69 AHUJA Arianna 1% 7% 22% 34% 26% 10% 1%
70 KUNDU Anisha - 3% 13% 29% 33% 18% 4%
70 KWON Athina - 1% 7% 22% 36% 27% 7%
72 CHIN Isabella - 1% 4% 17% 34% 33% 12%
73 YAO Jillian - 1% 8% 24% 36% 24% 6%
74 BALAKRISHNAN Monica S. - 1% 9% 27% 38% 23% 3%
74 PARTE Isabella B. 5% 28% 40% 21% 5% - -
76 LU Junyao - 1% 4% 17% 33% 33% 12%
77 CHEN hai lin 1% 12% 29% 33% 19% 5% 1%
78 PAN Michelle 2% 20% 38% 29% 10% 2% -
79 VANDERLINDEN Mira 5% 23% 35% 26% 9% 2% -
80 WATRALL Christina - - 1% 7% 23% 41% 29%
81 DINGMAN Amanda 1% 7% 24% 36% 25% 7% -
82 BUCUR Naomi 4% 20% 35% 28% 11% 2% -
83 KHROL Caralina - - 1% 7% 25% 42% 25%
83 HODGES Grace A. 4% 20% 34% 28% 11% 2% -
85 TEMIRYAEV Anna M. - 2% 13% 32% 34% 16% 3%
86 WEBER Nora 6% 25% 35% 24% 8% 1% -
87 KIM Diane E. - - 3% 14% 33% 36% 13%
88 FALLON Kyle R. - 3% 17% 35% 31% 12% 1%
88 DARANOUVONG Logan 3% 17% 34% 31% 13% 2% -
90 MOSKOFF Tessa 1% 8% 23% 32% 25% 9% 1%
91 MYERS Jeanelle Christina A. 25% 42% 26% 6% 1% -
92 COVITZ Ashley A. 63% 32% 5% < 1% - -
93 DE JAGER Celine 5% 20% 33% 27% 12% 3% -
94 SEMIKIN Julia - 1% 6% 21% 36% 28% 8%
95 ERTAS Eileen 2% 14% 32% 33% 15% 3% -
96 ALVIDREZ Francesca A. - 3% 17% 38% 31% 9% 1%
97 BELSLEY Devon K. 1% 6% 22% 35% 27% 9% 1%
98 BEHENSKY Brenna 1% 7% 22% 34% 25% 9% 1%
100 BOYS Nishta B. - - 1% 8% 27% 41% 23%
100 LEANG Andrea K. - 2% 13% 32% 36% 15% 1%
102 WADE-CURRIE Ava S. - 2% 15% 36% 34% 11% 1%
103 MAO Amy 10% 33% 35% 17% 4% - -
104 WOLF Isabella A. - 2% 13% 33% 37% 15% 1%
105 REITINGER Emilie B. 1% 9% 26% 35% 22% 7% 1%
106 BAJAJ Nikita K. 11% 31% 34% 19% 5% 1% -
107 SHEN Stephanie 2% 15% 32% 32% 16% 4% -
108 PROVANCE Allison N. 1% 10% 28% 34% 20% 5% 1%
109 KIM Erika S. 9% 29% 35% 20% 6% 1% -
110 GONG SIYU 14% 34% 32% 16% 4% - -
111 OH Kaitlin Y. 8% 26% 34% 23% 8% 1% -
112 ANDERSON Nora E. 5% 24% 39% 26% 6% -
113 LU Shiqi - 5% 24% 40% 24% 5% -
114 KUZNETSOV Victoria - 2% 12% 28% 35% 19% 4%
115 MCCUTCHEN Lauren (Lulu) - 6% 23% 37% 26% 7% -
115 GITHENS Gracyn J. 1% 7% 24% 35% 25% 8% 1%
117 SUMRALL Emily M. 1% 9% 24% 33% 24% 8% 1%
117 ZUHARS Renee A. - 1% 8% 23% 35% 25% 7%
117 ZHANG Tina - 2% 10% 27% 35% 22% 5%
120 BLIN Margaux J. 2% 18% 37% 30% 11% 2% -
121 LEE Yedda - 4% 23% 38% 26% 8% 1%
122 FENG Kelly L. 1% 9% 26% 34% 22% 7% 1%
123 LEE Olive - 5% 22% 37% 27% 8% 1%
124 GUMAGAY Erika L. 2% 14% 33% 33% 15% 3% -
125 REID Anousheh 1% 7% 22% 35% 27% 9% 1%
126 CHERNYSHOVA Victoria - 4% 17% 34% 32% 12% 1%
127 YU Claire 14% 36% 33% 14% 3% - -
128 GAURIAT Jade S. 15% 36% 32% 13% 3% - -
129 WILLIAMS Sarah 11% 31% 33% 19% 5% 1% -
130 SHERTZ Kira E. 29% 41% 23% 6% 1% - -
131 SMITH Grace L. - 1% 14% 35% 33% 14% 2%
132 MEHROTRA Anya - 3% 15% 32% 32% 15% 2%
133 RAZA Nadia A. 6% 25% 36% 24% 7% 1% -
133 QURESHI Aafreen 1% 7% 24% 35% 25% 7% 1%
133 CHAN Cheri K. - 3% 15% 33% 32% 14% 2%
136 DUAN Jenny S. 27% 42% 24% 6% 1% - -
137 DANIEL Olivia 1% 10% 33% 37% 16% 2% -
138 PALMER Amelia C. 7% 25% 35% 24% 8% 1% -
139 CHANG Ella 25% 40% 25% 8% 1% - -
140 CHEUNG Ho Huen 6% 25% 36% 24% 8% 1% -
141 LI molan 5% 22% 35% 26% 10% 2% -
142 DU Angela 13% 37% 34% 14% 3% - -
143 OPERARIO Abigail Z. 1% 9% 33% 38% 17% 3% -
144 RUNIONS Emersyn - 2% 13% 32% 34% 16% 3%
145 GAJJALA Sharika R. 2% 10% 26% 33% 21% 7% 1%
146 KOKES Ava 3% 18% 34% 30% 12% 2% -
147 SHOATES Jacqueline A. - 1% 7% 23% 38% 26% 5%
147 WATKINS Josephine M. 18% 39% 30% 11% 2% - -
149 ZAKHAROV Anne E. 21% 47% 26% 6% 1% - -
150 BONDAR Nika 27% 46% 22% 5% - - -
151 JIANG Corina 4% 21% 35% 27% 11% 2% -
152 DONDISCH Sophia 11% 36% 36% 14% 2% - -
153 FLO Sena 25% 41% 25% 7% 1% - -
154 JAMES Josephine 9% 40% 38% 12% 1% -
155 OSTROVSKY Emily I. 16% 49% 28% 7% 1% - -
156 GEBALA Natalie Brooke A. - 1% 7% 22% 35% 27% 8%
157 ZHANG mickey 4% 18% 34% 30% 12% 2% -
159 DESAI Meera P. 1% 8% 23% 34% 25% 8% 1%
160 MA Laura 17% 37% 31% 13% 3% - -
161 BECCHINA Olivia 2% 12% 29% 33% 18% 5% -
162 SHEN GE 12% 32% 33% 18% 5% 1% -
163 CHAN Elizabeth - 2% 11% 27% 33% 21% 5%
164 SU Vivienne 31% 43% 21% 5% 1% - -
165 LAVERY Chloe K. - 5% 23% 37% 25% 8% 1%
166 CAPELLUA Mariasole 1% 11% 29% 34% 19% 5% -
167 WAGMAN Agatha E. 16% 39% 31% 12% 2% - -
168 HUANG audrey 7% 26% 36% 23% 7% 1% -
169 LI Alisha 12% 36% 34% 15% 3% - -
170 BYBEE Lucy J. 27% 41% 24% 7% 1% - -
170 KIZILBASH Alizeh H. 17% 37% 31% 13% 3% - -
172 ZENG Katrina 41% 44% 14% 2% - - -
173 TEJADA Mikaela Aprille S. 24% 41% 26% 8% 1% - -
174 LEE Anna 45% 43% 10% 1% - - -
175 LIN Julia L. 3% 26% 46% 22% 4% -
176 SON Katherine (Injee) 9% 32% 38% 18% 3% -
177 GAO Judy 3% 15% 32% 31% 15% 3% -
178 YU Bailey 18% 39% 30% 11% 2% - -
180 DILLE Carolina G. 31% 46% 19% 3% - - -
180 KIZILBASH Zara < 1% 2% 9% 24% 34% 25% 7%
182 HUNTER Madison 11% 32% 35% 18% 4% - -
183 HICKS Grace 43% 41% 14% 2% - - -
184 MING Cynthia 34% 45% 17% 3% - - -
185 SINHA Zara 37% 41% 18% 4% - - -
186 LI Vivian 44% 39% 14% 2% - - -
187 SU Vera 36% 43% 17% 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.