USA Fencing National Championships & July Challenge

Junior Women's Épée

Friday, June 28, 2019 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 YAMANAKA Mina - 1% 6% 20% 36% 29% 9%
2 SHEFFIELD Lake Mawu - - 3% 14% 32% 36% 15%
3 VERMEULE Emily - - - - 3% 24% 73%
3 LURYE Sarah - 1% 11% 32% 39% 16%
5 JOYCE Michaela - - - 1% 8% 35% 56%
6 KOMAR Sofia - - - 3% 17% 42% 37%
7 NIXON Caroline (Karolina) L. - - - 4% 19% 44% 33%
8 GRADY Miriam A. - - - 1% 9% 36% 53%
9 MANGANO Ariana J. - - - 3% 17% 42% 38%
10 LIN Jessica Y. - - - - 2% 26% 72%
11 LIANG Jessica - - 1% 6% 22% 41% 30%
12 BULAVKO Sonia - 3% 16% 35% 34% 11%
13 KHAMIS Yasmine A. - - 1% 6% 23% 41% 29%
14 ENO Megan E. - - 3% 13% 31% 36% 17%
15 KETKAR Ketki - 1% 6% 24% 42% 27%
16 BEITTEL Chloe F. - 5% 21% 37% 29% 7%
17 CANDREVA Greta H. - - - 1% 7% 37% 55%
17 WANG Elizabeth - - 4% 21% 45% 25% 4%
19 HUSISIAN Hadley N. - - - - 4% 26% 70%
20 YEU Irene - 1% 6% 23% 42% 29%
21 BUCUR Rebekah O. - - 2% 11% 30% 39% 19%
22 DING Jiahe (Heidi) - - - 2% 16% 45% 37%
23 NI Emma - 4% 17% 32% 30% 13% 2%
24 ZAFFT Tatiana M. - 1% 7% 21% 34% 28% 9%
25 KIMURA Kimberley H. 1% 6% 21% 35% 27% 9% 1%
26 CONSTANTINO Lola - - - - 5% 28% 67%
28 PARK Faith K. - - - - 5% 29% 66%
29 WANG Karen - - 3% 18% 42% 36%
30 GANDHI Sedna S. - - 2% 11% 34% 39% 14%
31 RATZLAFF Jocelyn T. - - - 5% 25% 47% 23%
32 TYLER Syd 1% 9% 26% 35% 23% 6%
33 GREGORY Elizabeth - - 3% 15% 34% 35% 12%
34 GAO Emily L. - - 2% 10% 29% 40% 20%
35 GUO ZI SHAN - - - 1% 17% 82%
36 ADAMS KIM Madeline - 4% 17% 31% 30% 15% 3%
37 YEE-WADSWORTH Sofia L. - 1% 9% 27% 36% 22% 4%
38 BINDAS Blodwen S. - 5% 19% 35% 29% 11% 1%
38 ZOZULYA Christina S. - - - 1% 9% 35% 54%
40 LEE Sumin - 2% 9% 25% 35% 24% 6%
41 DROVETSKY Alexandra M. - 2% 10% 29% 38% 19% 3%
42 TOMASELLO Olivia E. 15% 36% 33% 14% 3% -
43 MARTUS Cosima O. 1% 8% 25% 36% 24% 6%
44 BOYS Nishta B. - 3% 15% 33% 34% 14%
45 BALAKRISHNAN Monica S. 2% 15% 33% 33% 15% 3%
46 KULKARNI Diya - 5% 24% 43% 26% 2%
47 OXENREIDER Tierna A. - 4% 16% 34% 34% 13%
48 KHROL Jaclyn - - 1% 10% 31% 42% 15%
49 RAUSCH Ariana (Ari) M. - - 1% 6% 23% 42% 29%
50 SEMIKIN Julia - 5% 18% 33% 30% 12% 1%
51 XU Grace (XinYi) - 3% 15% 32% 32% 15% 2%
52 ROBLES Elena - 1% 5% 21% 39% 28% 6%
53 O'DONNELL Amanda A. - 2% 10% 26% 35% 22% 5%
54 DIB Vanessa - 8% 32% 37% 18% 4% -
55 GRESHAM Sarah L. 4% 22% 37% 27% 9% 1%
56 MYERS Helen Sophia A. 2% 11% 28% 34% 20% 5% -
57 DESAMOURS Sabine I. 1% 8% 23% 32% 25% 10% 2%
58 DANIEL Chloe L. - - 1% 9% 27% 40% 23%
59 SHAMSIAN Shaya - 1% 9% 28% 38% 21% 2%
60 MACHULSKY Leehi - - 1% 8% 29% 43% 19%
61 WATRALL Christina - - 3% 13% 32% 36% 16%
62 JI Catherine 1% 7% 25% 36% 25% 7% -
63 BRILL Sophie - 7% 29% 42% 21% 1%
64 FILIPPOV Nika D. 26% 41% 25% 7% 1% -
65 BEDDINGFIELD Claire E. - - - 4% 22% 44% 30%
67 KHROL Caralina - - 2% 11% 32% 40% 15%
68 PIRKOWSKI Amanda L. - - 1% 5% 22% 42% 29%
69 BEI Karen 1% 8% 24% 35% 25% 7% -
70 CHU Audrey - 2% 11% 32% 39% 14% 1%
71 TANIBAJEVA Rachel L. - - 1% 5% 21% 43% 31%
72 CHAN Cheri K. - 2% 12% 31% 36% 17% 2%
73 MCLANE Lauren - 1% 7% 22% 36% 27% 8%
74 WOLF Isabella A. - 6% 27% 38% 23% 5% -
75 LU Junyao - 2% 13% 30% 34% 18% 4%
76 NING Emma - 3% 14% 30% 32% 17% 4%
77 CHAN Paree A. - 4% 17% 33% 31% 13% 2%
78 TONCHEVA Victoria M. - 1% 8% 23% 35% 25% 6%
79 WANG anne 9% 28% 34% 21% 7% 1% -
80 SMUK Daria A. 2% 13% 32% 34% 16% 3% -
81 PYO Yunice - 3% 13% 30% 35% 17% 2%
82 BELSLEY Devon K. 4% 17% 33% 30% 14% 3% -
83 KETKAR Mallika - 2% 11% 29% 36% 19% 3%
84 YOON Julia J. - 1% 9% 27% 39% 22% 2%
85 PROCTOR Sara J. - 1% 8% 23% 34% 26% 8%
86 KIZILBASH Zara 3% 17% 33% 30% 14% 3% -
87 SMITH Grace L. - 10% 32% 36% 18% 4% -
88 LIN Katie Y. 2% 11% 27% 34% 20% 6% 1%
90 LIVERANT Jordan S. 1% 9% 24% 32% 23% 9% 1%
90 GEBALA Natalie Brooke A. - 2% 10% 28% 37% 21% 3%
90 DOUGLAS Julia F. 1% 6% 21% 36% 27% 9% 1%
93 PATURU Meghana - - 1% 8% 31% 46% 14%
93 POPOVICI Astrid I. 11% 32% 34% 17% 5% 1% -
95 KUNDU Anisha 2% 16% 40% 33% 9% -
96 GAO Aretha R. 1% 6% 22% 37% 27% 7%
97 KIM Diane E. 1% 7% 28% 39% 21% 4%
98 CAPELLUA Mariasole 15% 37% 32% 13% 2% -
99 LIU Jennifer L. 4% 21% 35% 28% 10% 1%
100 GHIDINA O'Livia G. - 1% 6% 21% 36% 29% 8%
101 LEANG Andrea K. - 4% 16% 33% 32% 13% 2%
102 YAO Jillian 1% 9% 26% 34% 22% 6% -
102 RUNIONS Emersyn - 5% 20% 34% 28% 11% 2%
104 HILL Gabrielle (Gabby) M. - 8% 25% 35% 23% 7% 1%
105 LU Shiqi 2% 11% 26% 32% 21% 8% 1%
106 LIM Clarice - 5% 20% 35% 29% 10% 1%
107 GABERKORN Nadia - - 3% 16% 36% 35% 10%
108 MCNEILL Claire A. - 3% 17% 35% 31% 12% 1%
109 GLASSNER Sophia Rose S. 5% 26% 41% 24% 5% - -
110 SOIN Anika A. 15% 35% 32% 14% 3% - -
111 HU Grace 3% 16% 34% 32% 13% 2%
112 SNIDER Margot (Maggie) 1% 9% 26% 36% 23% 6%
113 LUO Ashley 16% 36% 31% 14% 3% -
114 CHEN Zhengnan(Janet) - 1% 10% 31% 40% 18%
115 LEANG Priscilla Y. 4% 19% 36% 29% 11% 1%
116 CHERNYSHOVA Victoria 8% 29% 37% 20% 5% -
117 HEDVAT Alexis S. 1% 8% 24% 35% 24% 8% 1%
118 WEISS Talia L. - 4% 19% 35% 29% 11% 2%
119 NGUYEN Kaylin A. - 2% 13% 31% 35% 16% 2%
120 ERTAS Eileen 9% 28% 35% 21% 6% 1% -
121 SMIK Leonie A. 8% 26% 33% 22% 8% 2% -
121 TONG Sarah Shen 4% 19% 33% 29% 13% 2% -
123 LIN Anna F. 3% 17% 33% 30% 14% 3% -
124 JAMES Josephine 7% 28% 38% 22% 5% - -
125 WHITTEMORE Lucy K. 1% 6% 22% 35% 27% 9% 1%
126 GRESHAM Rebekah L. - 2% 10% 27% 34% 22% 5%
127 HENRY Asha S. 5% 21% 36% 28% 10% 1%
128 MCCUTCHEN Lauren (Lulu) 6% 25% 36% 24% 8% 1%
129 OH Kaitlin Y. 9% 43% 35% 12% 2% - -
131 AHUJA Arianna 1% 9% 29% 36% 20% 5% -
132 ZHANG Maya 1% 10% 27% 34% 21% 6% 1%
133 SLACKMAN Valerie 1% 8% 25% 36% 24% 6% -
134 WU Fan 4% 19% 33% 28% 12% 2% -
135 WRIGHT Margaret A. 3% 18% 35% 31% 12% 2% -
136 MALDONADO Pilar I. - 6% 25% 39% 25% 5%
137 MAYER Ingrid V. 9% 31% 36% 19% 4% -
138 FENG Kelly L. 9% 30% 36% 20% 5% - -
139 LANZMAN Anna B. 2% 14% 31% 32% 16% 4% -
140 WU Amelia - 1% 10% 29% 37% 20% 3%
141 LONG Cindy - 4% 14% 28% 31% 18% 4%
142 KANG Dahyun 1% 8% 24% 34% 24% 8% 1%
143 WOLSTENHOLME-BRITT Samantha (Sam) G. 5% 21% 35% 28% 11% 2% -
144 MOHABIR Ariane - - 3% 17% 37% 33% 9%
145 QURESHI Aafreen 4% 24% 37% 25% 8% 1% -
146 SZEWC Alexandra 5% 22% 35% 26% 10% 2% -
147 BOTNER Olivia 4% 20% 36% 28% 10% 2% -
148 BROOKS Tean R. 2% 11% 27% 33% 20% 6% 1%
149 TAYLOR Audrey Y. - 3% 14% 31% 33% 16% 3%
150 PARKER Allegra H. - 3% 14% 31% 34% 16% 2%
151 BEHENSKY Brenna 1% 9% 25% 34% 23% 7% -
151 KWON Athina 1% 6% 21% 34% 28% 9% 1%
153 GILBRETH Meghan G. 8% 29% 36% 20% 6% 1% -
154 KOWALSKY Rachel A. 3% 16% 33% 31% 14% 3% -
155 XIE Adeline 8% 30% 39% 20% 3% - -
156 ADVINCULA Anabella E. 6% 29% 40% 21% 4% - -
157 PEREZ Gabriella (Gabi) S. 6% 25% 37% 25% 7% 1% -
158 GOLDBERG Sophie C. 13% 34% 34% 15% 3% - -
159 SHEN Stephanie 4% 20% 34% 29% 11% 2% -
160 STOJANOVIC Mina 24% 46% 24% 5% - -
161 CHOI Lyla - 1% 5% 21% 37% 29% 8%
162 LEE kyungmin - 1% 8% 25% 36% 24% 6%
163 SUMRALL Emily M. 4% 18% 33% 29% 13% 3% -
164 ZUHARS Renee A. - 1% 6% 20% 34% 30% 10%
166 WANG Nora - 3% 15% 32% 34% 14% 1%
167 SCHAFF Marlene M. 6% 26% 37% 23% 7% 1% -
167 ZHANG Tina - 5% 22% 37% 27% 8% 1%
169 JIANG Corina 16% 36% 31% 13% 3% - -
170 MILLER Veronica 12% 32% 34% 17% 4% - -
171 MYERS Jeanelle Christina A. 10% 32% 36% 18% 4% - -
171 SCHMUGAR Brooke 6% 29% 40% 21% 4% - -
173 KIM Elizabeth Y. 1% 8% 27% 37% 22% 5% -
174 COBERT Helen G. 1% 5% 18% 33% 30% 12% 1%
175 CHIN Isabella - 3% 13% 29% 32% 18% 4%
176 KERAMANE Halah Z. 37% 41% 17% 3% - - -
177 WANG Junyao 3% 15% 31% 31% 16% 4% -
178 O'REILLY Aeryn E. 1% 8% 24% 35% 24% 7% 1%
179 VANDERLINDEN Mira 11% 33% 35% 16% 4% - -
180 SHAO Ariel 14% 36% 33% 14% 3% - -
181 DINGMAN Amanda 1% 9% 26% 34% 22% 7% 1%
181 DONDISCH Sophia 31% 42% 21% 5% 1% - -
183 PERALTA-VIRTUE Kamilla M. 1% 6% 22% 35% 27% 9% 1%
183 SHEN GE 10% 29% 34% 20% 6% 1% -
185 PROVANCE Amanda R. 2% 12% 29% 34% 19% 4% -
185 BENATER Lauren 11% 31% 34% 18% 5% 1% -
185 WANG Gioia Serena 4% 21% 37% 27% 9% 1% -
188 CHAN Elizabeth 1% 7% 25% 36% 24% 7% 1%
189 MILEWSKI Nicole 7% 27% 36% 22% 7% 1% -
190 CHEUNG Ho Huen 22% 39% 27% 9% 2% - -
191 SHOATES Jacqueline A. 1% 10% 28% 36% 20% 4%
192 MEHROTRA Anya 2% 12% 31% 35% 17% 3%
193 PARTE Isabella B. 37% 45% 15% 2% - -
194 LEE Olive 12% 34% 35% 16% 3% -
195 SON Katherine (Injee) 8% 39% 38% 13% 2% -
196 BYBEE Lucy J. 58% 34% 7% 1% - -
197 WADE-CURRIE Ava S. - 3% 12% 28% 33% 19% 4%
198 GUMAGAY Erika L. 7% 26% 37% 23% 6% 1% -
199 REITINGER Emilie B. 18% 37% 30% 12% 3% - -
200 GONG SIYU 23% 42% 26% 7% 1% - -
201 DE JAGER Celine 11% 33% 35% 17% 4% - -
202 MOTON Mckenzie R. 14% 34% 33% 15% 4% - -
203 TAO Olivia A. - 3% 16% 34% 32% 13% 2%
204 BANKS Lauren M. 32% 44% 20% 4% - - -
205 DESAI Meera P. 1% 10% 27% 35% 21% 6% 1%
206 KORNGUTH Lindsay 1% 10% 28% 35% 20% 5% -
207 GAO Judy 2% 28% 41% 23% 6% 1% -
207 SU Vivienne 30% 41% 22% 6% 1% - -
207 LI molan 19% 40% 29% 10% 2% - -
210 KIZILBASH Alizeh H. 3% 36% 41% 17% 3% - -
211 BAFFA Arianna M. 1% 7% 22% 34% 26% 9% 1%
212 LEE Michelle - 1% 7% 23% 37% 26% 6%
212 KIM Erika S. 10% 33% 36% 16% 3% - -
214 HUH Anna 6% 24% 35% 25% 9% 1% -
215 KIM Caroline 14% 36% 33% 14% 3% - -
216 SAUL Nicole 3% 16% 36% 33% 11% 1% -
216 YU Claire 11% 32% 35% 17% 4% - -
218 MA Laura 20% 39% 29% 10% 2% - -
219 SAAL Anna 2% 15% 37% 34% 10% 1% -
219 GELBER Sara 76% 22% 2% - - - -
221 WILLIAMS Sarah 11% 33% 35% 17% 4% - -
222 MOK Chloe R. 41% 42% 15% 2% - - -
223 SHAH Chloe 21% 41% 29% 8% 1% - -
223 SIDDIQUI Ammna K. 10% 32% 36% 18% 4% - -
225 ZHAO Yingying 5% 22% 35% 26% 10% 2% -
226 COVITZ Ashley A. 77% 21% 2% - - - -
227 ZAKHAROV Anne E. 33% 42% 20% 5% 1% - -
228 KWON Tiara 39% 41% 16% 3% - - -
229 THORNTON Paula R. 9% 29% 35% 20% 6% 1% -
230 DIDONATO Gianina L. 7% 27% 36% 22% 7% 1% -
232 JANOWSKI Madeline (Madeline Janowski) A. 2% 13% 30% 33% 17% 4% -
232 PARK Ashley Y. 5% 27% 38% 23% 6% 1% -
234 KAUR Simarpreet 22% 40% 27% 9% 1% -
237 BECCHINA Olivia 4% 19% 35% 29% 11% 1%
238 HUANG audrey 20% 44% 28% 8% 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.