Junior Olympic Championships

Cadet Women's Épée

Monday, February 17, 2020 at 8:00 AM

Columbus, OH - Columbus, OH, 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. - - - - 2% 22% 75%
2 PARK Faith K. - - - - 2% 20% 78%
3 CHOI Lyla - - 2% 11% 31% 38% 17%
3 JOYCE Michaela - - - - 1% 18% 80%
5 WADE-CURRIE Ava S. - - - 5% 22% 44% 29%
6 WATRALL Christina - - - 1% 10% 38% 51%
7 LEE Michelle J. - - - 2% 15% 41% 42%
8 O'DONNELL Amanda A. - - - - 5% 30% 64%
9 LIN Katie Y. - - 2% 10% 28% 40% 21%
10 LEUNG Natalie - 1% 9% 30% 41% 19%
11 BEI Karen - - 4% 21% 43% 32%
12 MACHULSKY Leehi - - - 1% 8% 34% 57%
13 KWON Athina - - 1% 8% 29% 42% 20%
14 CHIN Isabella - - 5% 24% 44% 26%
15 CHOI Eunice - 4% 18% 35% 31% 11% 1%
16 ZHANG Tina - - 4% 18% 39% 34% 4%
17 BALAKRISHNAN Monica S. - - 1% 7% 25% 43% 24%
18 JANOWSKI Madeline (Madeline Janowski) A. - 1% 9% 27% 38% 22% 3%
19 HENRY Asha S. - 2% 12% 33% 38% 16%
20 LEANG Priscilla Y. - 1% 8% 25% 37% 24% 5%
21 LEE Sumin - - 2% 11% 29% 39% 20%
22 GANDHI Sedna S. - - - 2% 11% 38% 49%
23 MALDONADO Pilar I. - - - 4% 21% 45% 30%
24 MCLANE Lauren - - - 3% 15% 40% 42%
25 WANG Karen - - 1% 6% 22% 43% 29%
26 WU Amelia - - - 3% 17% 43% 37%
27 DESAMOURS Sabine I. - - 1% 6% 24% 44% 27%
28 GEBALA Natalie Brooke A. - - 3% 16% 36% 35% 9%
29 LU Junyao - - 3% 14% 34% 36% 13%
30 BELSLEY Devon K. - 2% 16% 36% 34% 11%
31 BENATER Lauren - 1% 9% 26% 35% 23% 5%
32 CAPELLUA Mariasole 1% 7% 23% 35% 26% 9% 1%
33 OXENREIDER Tierna A. - - - 4% 19% 43% 34%
33 TYLER Syd - - - 3% 15% 41% 40%
35 KIM Diane E. - - 1% 6% 27% 45% 21%
36 MILEWSKI Nicole - 2% 13% 33% 36% 15% 1%
36 NGUYEN Kaylin A. - - 1% 9% 27% 40% 23%
38 KHAMIS Yasmine A. - - - 2% 13% 40% 45%
39 LEANG Andrea K. - 2% 13% 31% 35% 16% 2%
40 SMITH Grace L. - 1% 5% 20% 37% 30% 8%
41 PATURU Meghana - - - 4% 20% 42% 33%
42 MAO Amy - 2% 12% 31% 36% 17% 3%
43 GUMAGAY Erika L. - 4% 19% 35% 29% 11% 2%
44 KETKAR Ketki - - - 1% 11% 38% 50%
45 PADHYE Tanishka - 1% 8% 28% 40% 21% 2%
46 GRESHAM Rebekah L. - 2% 11% 28% 34% 20% 4%
47 LOWENSTEIN Penelope J. - - 4% 21% 39% 28% 7%
48 AHUJA Arianna - 1% 7% 28% 40% 21% 3%
49 JIANG Corina - 2% 16% 39% 32% 10% 1%
50 DINGMAN Amanda - - 5% 22% 38% 27% 7%
51 KUNDU Anisha - 1% 5% 18% 34% 32% 11%
51 PALANSKI Cate - 1% 8% 26% 38% 22% 4%
53 KOKES Ava 1% 9% 26% 35% 22% 6% 1%
54 RUSSELL Renata - 4% 18% 36% 32% 10% -
55 TONG Sarah Shen 1% 6% 22% 37% 28% 7%
56 ROTHMAN-HALL Bronwyn R. - 5% 22% 39% 27% 6%
57 LIU Christina A. - - 4% 20% 37% 30% 9%
58 LUO Ashley - 1% 9% 28% 38% 20% 3%
59 KUZNETSOV Victoria - - 3% 14% 35% 36% 12%
60 SAAL Anna - 1% 14% 37% 34% 12% 1%
61 SLACKMAN Valerie 1% 7% 24% 37% 25% 7% 1%
62 FENG Kelly L. - 1% 6% 23% 38% 27% 6%
63 WHITTEMORE Lucy K. - 4% 19% 38% 30% 8%
64 APPLEBEE Andralyn 13% 41% 33% 11% 2% - -
65 FALLON Kyle R. - 1% 7% 25% 38% 24% 4%
66 MCCUTCHEN Lauren (Lulu) - 1% 6% 21% 37% 28% 7%
67 CHAN Elizabeth 1% 7% 24% 37% 25% 6%
68 KETKAR Mallika - - 5% 22% 42% 28% 3%
69 COBERT Helen G. - - 5% 20% 36% 30% 9%
70 WANG Nora - 1% 5% 20% 37% 30% 7%
71 GITHENS Gracyn J. - 4% 20% 36% 29% 10% 1%
71 DARANOUVONG Logan - 1% 11% 32% 37% 17% 2%
73 WEISS Talia L. - - 3% 18% 38% 31% 9%
74 LEE Calla 2% 14% 35% 34% 13% 2% -
75 NELSON-LOVE Lily B. - 1% 11% 33% 39% 16%
76 DROVETSKY Alexandra M. - 1% 7% 27% 44% 23%
77 QURESHI Aafreen - 2% 11% 31% 38% 18% 1%
78 ERTAS Eileen 1% 7% 22% 34% 26% 10% 1%
79 MALLAVARPU Aarthi C. - - 3% 16% 35% 34% 12%
80 CHAN Cheri K. - - 5% 24% 39% 26% 6%
81 ZAFFT Tatiana M. - - - 2% 12% 40% 47%
82 VANDERLINDEN Mira 2% 15% 34% 32% 14% 3% -
83 WANG Elizabeth - - - 1% 9% 36% 55%
84 TEMIRYAEV Anna M. - - 4% 19% 37% 31% 9%
85 JAKEL Sophia N. - - 1% 9% 30% 41% 20%
85 CASTANEDA Erika L. - - 4% 17% 36% 33% 9%
87 GU Sarah - - 3% 14% 32% 35% 14%
88 DE JAGER Celine - 3% 18% 40% 30% 8% -
89 BLIN Margaux J. - 5% 18% 33% 30% 12% 2%
89 LEE Olive - 1% 7% 25% 39% 24% 5%
91 PARTE Isabella B. - 5% 21% 36% 27% 9% 1%
92 BURN Lauren M. - 1% 6% 23% 40% 25% 5%
93 WATKINS Josephine M. 2% 10% 26% 33% 21% 7% 1%
94 MEHROTRA Anya - 1% 9% 29% 40% 21%
95 KALE Anika A. 4% 22% 39% 27% 8% 1%
96 SEMIKIN Julia - 3% 17% 38% 32% 9%
97 GAJJALA Sharika R. - 1% 10% 29% 36% 20% 3%
98 GRESHAM Sarah L. - - 2% 14% 36% 37% 11%
99 SHERTZ Kira E. 3% 20% 37% 28% 10% 2% -
100 RUNIONS Emersyn - 1% 6% 22% 36% 28% 8%
101 MYERS Jeanelle Christina A. 2% 14% 31% 33% 16% 4% -
102 BOYS Nishta B. - - 1% 8% 29% 43% 19%
102 WEBER Nora - 6% 23% 36% 26% 8% 1%
104 WOLF Isabella A. - 1% 7% 28% 42% 21% 2%
105 MILLER Veronica - 5% 22% 36% 27% 8% 1%
106 REID Anousheh - - 5% 23% 41% 27% 4%
107 LEE Kaitlyn M. 4% 29% 39% 21% 6% 1% -
108 DANIEL Olivia - 5% 21% 36% 27% 10% 1%
109 YAO Jillian 1% 6% 22% 34% 27% 9% 1%
109 MING Cynthia 2% 12% 28% 33% 19% 6% 1%
111 BOLES Savvianna 7% 27% 37% 22% 6% 1% -
112 HICKS Grace 10% 35% 37% 15% 3% - -
113 DESAI Meera P. - 3% 18% 38% 32% 9%
114 ZENG Katrina 2% 31% 41% 21% 5% -
115 WILLIAMS Audrey L. 1% 17% 39% 32% 10% 1%
116 GHIDINA O'Livia G. - - 4% 18% 35% 32% 10%
117 SUMRALL Emily M. - 3% 15% 34% 32% 14% 2%
118 ANDERSON Nora E. 1% 8% 26% 36% 23% 7% 1%
119 LABRACHE Ella P. - 5% 21% 36% 27% 9% 1%
120 TEJADA Mikaela Aprille S. 4% 19% 37% 30% 10% 1% -
121 MIN MAGNOLIA - 3% 16% 35% 33% 13% 1%
122 SUN Ruilin 3% 18% 35% 31% 12% 2% -
123 HIRSCH Naomi B. 11% 33% 35% 17% 4% - -
124 DU Shunyi（Wendy） 6% 24% 35% 25% 9% 1% -
125 RAZA Nadia A. 1% 12% 32% 35% 16% 3% -
126 HUANG Hannah T. 1% 12% 30% 34% 18% 4% -
127 WILLIAMS Sophia 7% 27% 38% 22% 6% 1% -
128 JIANG Hannah S. 1% 10% 31% 36% 17% 4% -
129 ZUHARS Renee A. - - 3% 13% 30% 37% 17%
130 YU Nicole J. - 3% 15% 32% 33% 14% 2%
131 JAMES Josephine 9% 29% 35% 20% 6% 1% -
132 GOLDEN Danielle 3% 20% 40% 28% 8% 1% -
133 CALDERA Lexi I. - 6% 24% 36% 25% 8% 1%
134 MOHAMED Faisa 1% 8% 26% 36% 23% 6% -
135 KIM Elizabeth Y. - - 5% 23% 40% 27% 4%
136 PROVANCE Allison N. 1% 13% 36% 36% 13% 2%
137 REMEZA Alissa - 3% 16% 35% 33% 12% 1%
138 HILL Phoebe 1% 19% 38% 29% 10% 2% -
139 OLEDZKA Julia 12% 32% 33% 17% 4% 1% -
140 LONG Cindy - - 3% 17% 35% 33% 11%
140 YOUNG Audrey S. 1% 12% 30% 34% 18% 4% -
142 CHENG Ava - - 4% 19% 40% 31% 6%
143 BARNES Olivia R. 1% 6% 23% 36% 26% 8% 1%
144 EBRAHIM Ameera H. - 2% 12% 34% 36% 15% 2%
145 PACHECO Naomi 4% 28% 38% 23% 6% 1% -
146 KIM Zoe L. - 3% 17% 34% 31% 13% 2%
147 TSANG JAFFE Avi 1% 7% 24% 36% 24% 7% 1%
148 DOUGLAS Julia F. - 1% 7% 25% 39% 24% 5%
149 COVITZ Ashley A. 7% 34% 38% 17% 4% - -
150 LI Charlotte 7% 26% 37% 23% 6% 1% -
151 LEWIS Sophia 1% 7% 24% 37% 24% 7% 1%
152 YU Sheerea 40% 41% 16% 3% - - -
153 GERARDIN Marie - 5% 21% 36% 27% 9% 1%
154 SAUL Nicole 1% 9% 29% 36% 19% 4% -
155 BALSKUS Sophia 1% 10% 29% 34% 20% 5% 1%
156 HODGES Grace A. - 6% 25% 37% 24% 6% -
157 SMUK Daria A. 2% 16% 38% 31% 11% 1%
158 GLASER Drew - 9% 31% 37% 18% 3%
159 JIN Jasmine 1% 22% 41% 28% 7% 1%
160 HUNTER Madison 2% 13% 32% 34% 16% 3%
161 LEE Yedda - 4% 19% 35% 29% 11% 1%
162 SINGH Aayushi 28% 52% 17% 2% - - -
163 GAO Judy 4% 21% 36% 28% 9% 1% -
164 ABRAMSON Mariela R. 1% 13% 39% 34% 11% 1% -
165 MOSKOFF Tessa 3% 16% 33% 31% 14% 3% -
166 SCHULTZ Gillian 1% 9% 37% 36% 14% 2% -
167 FLANIGAN KENDRA 38% 41% 17% 3% - - -
168 RAINEY Zoe-Andrea 10% 35% 37% 15% 3% - -
169 ALVIDREZ Francesca A. 1% 7% 25% 37% 24% 6% -
170 KOWALSKY Rachel A. - - 1% 8% 27% 42% 22%
170 LE Jennifer 1% 14% 36% 33% 14% 2% -
172 REITINGER Emilie B. 1% 6% 22% 35% 26% 10% 1%
172 KIM Erika S. 3% 18% 34% 29% 12% 2% -
172 XU Jessica 10% 32% 37% 18% 4% - -
175 NEISINGH Isabelle 3% 20% 36% 28% 10% 2% -
176 DILLE Carolina G. 7% 33% 40% 17% 3% - -
177 ZHANG Chuyi 6% 24% 37% 25% 7% 1% -
178 PAPADAKIS Lily - 3% 17% 35% 31% 12% 1%
179 CHERNIS Zoe C. - 1% 6% 22% 36% 27% 8%
179 KIZILBASH Alizeh H. 11% 33% 35% 16% 3% - -
179 FRIEDLANDER Sarah 18% 45% 29% 7% 1% - -
182 MIETUS Isabelle 15% 37% 33% 12% 2% - -
183 WONG Alexandra R. 14% 37% 33% 13% 2% - -
184 MACEY Hadley 36% 49% 14% 1% - - -
185 TAYLOR-CASAMAYOR Maia 1% 6% 21% 36% 27% 9% 1%
186 ZAKHAROV Anne (Anya) E. 10% 40% 35% 12% 2% -
187 SINHA Zara 24% 42% 26% 7% 1% -
188 KIZILBASH Zara 5% 28% 39% 22% 5% -
189 HABERMAN Hailey 15% 42% 32% 10% 1% - -
190 OGAWA Kaylin 1% 9% 24% 33% 24% 8% 1%
190 WITTE Vera 3% 19% 37% 29% 11% 2% -
192 LU Samantha R. 1% 20% 39% 29% 10% 1% -
193 BAJAJ Nikita K. - 11% 32% 36% 17% 4% -
194 GLICK Nina 20% 43% 28% 8% 1% - -
194 SCHMULTS Sophie W. 29% 44% 21% 5% - - -
196 BOHRER Shira 17% 38% 32% 12% 2% - -
197 SAGE Kayla G. 24% 40% 26% 8% 1% - -
198 LI Alisha 2% 18% 42% 30% 8% 1% -
199 ALEXANDER Amelia 33% 42% 20% 4% - - -
199 ZHANG Rachel Q. 7% 27% 39% 22% 5% - -
199 HAND Grace 21% 40% 29% 9% 1% - -
202 ZHU-HILL Alice A. 3% 18% 35% 31% 11% 2% -
203 LIN Julia L. 3% 24% 39% 25% 8% 1% -
203 FEINBERG Gabriela 62% 31% 6% 1% - - -
203 MATERASSO Carolyne 10% 38% 35% 14% 3% - -
206 FLO Sena 2% 17% 45% 28% 8% 1% -
207 NASON Amelia 15% 38% 33% 12% 2% - -
208 PEELER Julia 19% 39% 30% 11% 2% - -
208 TORRES Daisy 63% 32% 5% - - - -
210 WILLIAMS Sarah 9% 28% 34% 21% 7% 1% -
210 BONDAR Nika 6% 26% 36% 23% 7% 1% -
212 MONE Kylie 10% 31% 35% 19% 5% 1% -
213 AUCHTERLONIE Seven 11% 49% 31% 8% 1% - -
214 GULIK Giselle S. 15% 37% 33% 12% 2% - -
215 SWENSON Nikita G. 6% 28% 38% 21% 6% 1% -
216 STOECKEL Sofia I. 3% 27% 39% 24% 7% 1% -
217 WEATHERLY Emily 86% 13% 1% - - - -
218 BRUSH Sydney 43% 41% 14% 2% - - -
219 PRICE Makalyn W. 81% 17% 1% - - -
219 MORIN Jenna 15% 38% 32% 12% 2% -
221 KENT Elizabeth J. 3% 19% 36% 29% 11% 2% -
222 LONG Madeline M. 53% 38% 9% 1% - -
223 HOSANAGAR Inchara 50% 38% 10% 1% - -
224 CAI Catelynn 43% 42% 13% 2% - - -
224 SAINT-PHARD Shana 25% 41% 26% 7% 1% - -
226 MURDOCH ROY Grace 42% 44% 12% 1% - - -
226 DOWNARD Audrianna 20% 41% 29% 9% 1% - -
228 ROMERO KURI Celeste 88% 11% - - - -
229 LIN Ashley 38% 49% 12% 1% - - -
230 SHI Joyce 41% 43% 14% 2% - - -
231 DUAN Jenny S. 12% 35% 35% 15% 3% - -
231 PETERSON Grace H. 24% 41% 26% 8% 1% - -
231 SOOHOO Claire 40% 42% 15% 3% - - -
231 GREGORY Alex 80% 19% 2% - - - -
235 ENDICOTT Mollie 73% 24% 3% - - - -
236 FRIEDMAN Zoe 85% 14% 1% - - - -
236 PEREZ Ariana 52% 37% 10% 1% - - -
236 JOSEPH Priyanka 24% 46% 25% 5% - - -
239 BARRON Isabella 46% 42% 11% 1% - - -
240 DREFKE Sigrid 60% 33% 7% 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.