November NAC

Cadet Women's Épée

Sunday, November 10, 2019 at 2:30 PM

Milwaukee, WI - Milwaukee, WI, 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 JOYCE Michaela - - - - 2% 19% 79%
2 HUSISIAN Hadley N. - - - - 5% 30% 65%
3 LIN Jessica Y. - - - - 1% 15% 84%
3 PARK Faith K. - - - - 2% 22% 75%
5 KETKAR Ketki - - - 1% 11% 39% 48%
6 LEE Michelle J. - - - 3% 16% 41% 39%
7 NGUYEN Kaylin A. - - 2% 13% 33% 36% 14%
8 TEMIRYAEV Anna M. - 7% 25% 37% 25% 7% -
9 MACHULSKY Leehi - - 4% 20% 43% 33%
10 PATURU Meghana - - 3% 16% 35% 34% 12%
11 LIN Katie Y. - - 3% 16% 34% 34% 13%
12 WU Amelia - - 3% 12% 29% 37% 19%
13 HENRY Asha S. - 1% 6% 21% 37% 28% 8%
14 DING Jiahe (Heidi) - - - - 5% 28% 67%
15 OXENREIDER Tierna A. - - 1% 4% 19% 41% 35%
16 LIU Christina A. - 2% 14% 33% 33% 15% 3%
17 KHROL Jaclyn - - - 2% 12% 40% 46%
18 WANG Elizabeth - - 1% 6% 25% 44% 23%
19 MCLANE Lauren - - 1% 7% 27% 42% 24%
20 LEE kyungmin - 1% 5% 20% 37% 29% 8%
21 MILLETTE Marie Frederique - - 2% 14% 33% 36% 14%
22 KHAMIS Yasmine A. - - - 1% 6% 31% 62%
23 WATRALL Christina - - - 4% 19% 43% 34%
24 BOYS Nishta B. - - 1% 9% 28% 40% 21%
25 GANDHI Sedna S. - - - 2% 13% 42% 43%
26 MCCUTCHEN Lauren (Lulu) - 2% 12% 30% 35% 18% 3%
27 GU Sarah - 1% 8% 26% 38% 23% 4%
28 KUNDU Anisha 1% 7% 26% 39% 23% 4%
29 GHIDINA O'Livia G. - - 5% 21% 43% 29% 2%
30 LAVERY Chloe K. - 5% 21% 37% 28% 8% -
31 CHAN Cheri K. - 1% 7% 25% 38% 25% 5%
32 MYERS Jeanelle Christina A. 4% 20% 35% 28% 12% 2% -
33 BEI Karen - - 3% 17% 40% 36% 4%
34 KWON Athina - 1% 8% 23% 35% 25% 6%
35 DESAMOURS Sabine I. - - 4% 17% 35% 32% 11%
36 HU Grace - 1% 9% 25% 36% 23% 5%
37 MUCSI Angela Lilla - - 3% 17% 37% 33% 10%
38 ZHU Chenxi (Heidi) - - 4% 20% 40% 30% 4%
39 CHIN Isabella - 1% 5% 18% 34% 31% 11%
40 FENG Kelly L. - 4% 17% 34% 31% 12% 1%
41 WADE-CURRIE Ava S. - 1% 9% 27% 36% 21% 5%
42 LUO Ashley 1% 6% 21% 34% 28% 10% 1%
43 SEBASTIAN Felicity A. - - 4% 18% 37% 33% 8%
43 LU Junyao - - 2% 12% 31% 38% 16%
45 WEISS Talia L. - 4% 15% 30% 32% 17% 3%
46 BALAKRISHNAN Monica S. - - 1% 9% 30% 44% 16%
47 KIM Elizabeth Y. - 2% 13% 32% 34% 15% 2%
48 QURESHI Aafreen - 3% 14% 31% 33% 16% 3%
49 KUZNETSOV Victoria - 1% 9% 27% 36% 21% 5%
50 WHITTEMORE Lucy K. - 1% 4% 17% 34% 32% 11%
51 DOROSHKEVICH Victoriia - 1% 9% 26% 36% 23% 5%
52 MILLER Veronica 1% 9% 26% 36% 22% 6% -
53 JAKEL Sophia N. - 1% 7% 22% 36% 27% 8%
54 XU Grace (XinYi) - 1% 5% 21% 36% 29% 8%
55 LEANG Priscilla Y. - 3% 16% 34% 33% 13% 2%
56 SLACKMAN Valerie 1% 10% 28% 34% 20% 5% 1%
57 REID Anousheh - 4% 22% 39% 27% 7% -
58 O'DONNELL Amanda A. - - 1% 6% 23% 41% 29%
59 DROVETSKY Alexandra M. - - 3% 15% 34% 34% 13%
60 WATKINS Josephine M. 2% 16% 39% 31% 11% 2% -
61 BELSLEY Devon K. - 1% 8% 26% 37% 23% 4%
62 LONG Cindy - 5% 18% 34% 30% 12% 2%
63 GEBALA Natalie Brooke A. - - 3% 16% 35% 34% 12%
64 ZENG Katrina 16% 41% 31% 10% 1% - -
65 SEMIKIN Julia - 1% 8% 25% 37% 23% 5%
66 KOWALSKY Rachel A. - 2% 12% 29% 35% 19% 4%
67 REID Sobia - 1% 7% 24% 37% 25% 6%
68 PAPADAKIS Lily - 4% 17% 33% 30% 13% 2%
69 ZHENG Ava - - 2% 12% 31% 38% 17%
70 RUNIONS Emersyn - 1% 7% 25% 37% 24% 6%
71 YANG Miranda (Yinuo) - 1% 5% 18% 34% 32% 11%
72 WANG Nora - 1% 8% 25% 37% 24% 6%
73 WANG Karen - - 3% 15% 33% 35% 14%
74 LEE Sumin - - 1% 9% 28% 41% 21%
75 SHEN Stephanie - 2% 11% 30% 36% 18% 3%
76 BOLES Savvianna 16% 40% 32% 10% 1% < 1% -
77 TYLER Syd - - 1% 7% 24% 41% 27%
78 MILEWSKI Nicole - 2% 14% 34% 34% 14% 2%
79 REMEZA Alissa - 9% 30% 36% 20% 5% 1%
80 YAO Jillian 2% 10% 27% 33% 21% 6% 1%
80 ZUHARS Renee A. - - 1% 8% 27% 40% 23%
80 CAPELLUA Mariasole - 6% 25% 38% 24% 5% -
83 SMUK Daria A. 1% 10% 30% 35% 19% 4% -
83 LEUNG Natalie - - 2% 12% 31% 38% 17%
85 LIN Waiyuk - 2% 12% 29% 34% 19% 4%
86 KETKAR Mallika - 1% 11% 32% 38% 16% 2%
86 LEE Yedda 1% 9% 29% 38% 20% 4% -
88 CHOI Eunice 2% 13% 31% 33% 17% 4% -
89 KIM Diane E. - - 4% 19% 38% 31% 8%
90 JIANG Hannah S. 19% 38% 29% 11% 2% - -
91 BARNES Olivia R. 2% 11% 28% 34% 20% 5% -
92 LU Shiqi - 4% 18% 35% 31% 11% 1%
93 PARTE Isabella B. 1% 7% 26% 36% 23% 7% 1%
94 MEHROTRA Anya - 1% 8% 27% 39% 22% 3%
95 ZHANG Tina - 1% 8% 28% 41% 20% 1%
96 FALLON Kyle R. - 3% 16% 34% 33% 13% 1%
97 DOUGLAS Julia F. - 2% 12% 34% 35% 15% 2%
98 MALDONADO Pilar I. - 1% 4% 17% 33% 33% 12%
99 AHUJA Arianna - 3% 17% 35% 32% 12% 1%
100 DESAI Meera P. 4% 19% 33% 29% 13% 3% -
101 LABRACHE Ella P. - 4% 16% 32% 31% 15% 3%
101 WOLF Isabella A. - 1% 10% 30% 37% 19% 3%
103 KOKES Ava 7% 25% 34% 23% 8% 1% -
104 XIAO Ruien - 4% 17% 34% 30% 13% 2%
105 WEBER Nora 1% 8% 25% 36% 24% 6% -
105 LEE Olive - 5% 22% 36% 27% 9% 1%
107 TONG Sarah Shen 1% 9% 24% 33% 24% 8% 1%
108 CHAN Elizabeth - 4% 16% 31% 31% 15% 3%
109 BAJAJ Nikita K. 7% 26% 36% 23% 7% 1% -
110 COBERT Helen G. - 3% 18% 35% 30% 12% 2%
111 TSANG JAFFE Avi - 5% 22% 36% 27% 9% 1%
112 SMITH Grace L. 1% 7% 21% 32% 27% 11% 2%
113 LEANG Andrea K. - 1% 8% 26% 38% 24% 3%
114 CHEN Zhengnan(Janet) - 2% 13% 35% 37% 13%
115 SUN XiaoQi (Angelica) - - 3% 16% 35% 34% 12%
116 LOWENSTEIN Penelope J. - 1% 7% 23% 36% 26% 7%
116 FILONOVA Alisa 5% 21% 33% 26% 12% 3% -
118 WU ALLYSON 10% 30% 34% 19% 6% 1% -
119 POIRIER Ariane - 4% 17% 33% 31% 13% 1%
120 MALLAVARPU Aarthi C. - 1% 7% 26% 37% 23% 5%
121 LIN Julia L. 1% 12% 32% 34% 17% 4% -
122 NELSON-LOVE Lily B. - - 1% 7% 25% 43% 25%
122 FELAND Alexandra 8% 28% 36% 21% 6% 1% -
124 BARON Sabina 16% 42% 31% 10% 2% - -
125 GUMAGAY Erika L. 1% 13% 31% 33% 17% 4% -
126 KIZILBASH Alizeh H. 4% 20% 35% 28% 11% 2% -
127 ALEXANDROV Katherine S. 2% 11% 28% 33% 19% 5% -
128 MOSKOFF Tessa 1% 9% 28% 36% 20% 5% -
129 NING Emma - - 4% 17% 35% 32% 10%
130 MEI Felicity 4% 21% 37% 28% 9% 1% -
131 HONG Elaine 7% 30% 39% 20% 4% - -
132 DILLE Carolina G. 51% 37% 10% 1% - - -
132 MING Cynthia 4% 20% 34% 29% 11% 2% -
134 CHERNIS Zoe C. - - 5% 21% 38% 29% 7%
134 SAAL Anna - 4% 20% 38% 30% 8% -
136 GAJJALA Sharika R. 1% 9% 27% 35% 21% 6% 1%
137 SHUM Jessica 11% 34% 35% 16% 4% - -
138 TAYLOR Kiera S. 1% 9% 29% 37% 20% 4% -
139 JAMES Josephine 1% 27% 41% 24% 7% 1% -
140 KIM Erika S. 11% 32% 34% 18% 5% 1% -
141 RAUSCH Juliana 7% 25% 35% 24% 8% 1% -
142 KRUMHOLZ Nicole 43% 43% 12% 1% - - -
142 PADHYE Tanishka - 3% 16% 33% 32% 14% 2%
144 CHERNYSHOVA Victoria 2% 11% 27% 33% 20% 6% 1%
145 BURN Lauren M. 5% 23% 39% 26% 7% 1%
146 YAO KATHARINE 19% 41% 30% 9% 1% -
147 PEHLIVANI Zara 1% 9% 31% 37% 18% 3% -
148 DUAN Jenny S. 7% 39% 38% 14% 2% - -
148 DUTTA Amelia 9% 39% 36% 14% 3% - -
150 ZHANG Rachel Q. 11% 36% 35% 15% 3% - -
151 EBRAHIM Ameera H. 1% 10% 31% 36% 18% 4% -
152 REITINGER Emilie B. 2% 16% 33% 31% 14% 3% -
153 RAZA Nadia A. 6% 29% 41% 20% 4% - -
154 KIM Zoe L. 1% 8% 27% 36% 22% 6% 1%
155 CALDERA Lexi I. - 2% 11% 27% 34% 21% 5%
156 TAYLOR-CASAMAYOR Maia - 1% 6% 22% 36% 27% 7%
157 MOHAMED Faisa 15% 35% 32% 15% 3% - -
158 DANIEL Olivia 1% 9% 25% 33% 23% 8% 1%
159 DUNBAR Breck L. 1% 10% 30% 36% 19% 4% -
160 HAMILTON Nina M. 4% 25% 38% 24% 7% 1% -
161 RAINEY Zoe-Andrea 36% 43% 18% 3% - - -
162 MOON Seojung 40% 42% 15% 2% - - -
163 KIZILBASH Zara 1% 29% 42% 22% 5% - -
164 MA ELISE 5% 27% 39% 23% 6% 1% -
165 GAO Judy 2% 13% 32% 34% 16% 3% -
166 MAO Amy 2% 13% 30% 33% 18% 4% -
167 DINGMAN Amanda 1% 10% 30% 35% 19% 5% 1%
168 BECCHINA Olivia 3% 16% 32% 30% 14% 3% -
169 JOYAL Anne-Sophie 22% 45% 26% 6% 1% - -
170 ZAKHAROV Anne E. 4% 24% 39% 25% 7% 1% -
171 YU Bailey 7% 29% 39% 20% 5% - -
172 MONE Kylie 7% 34% 38% 17% 3% - -
173 DARANOUVONG Logan 2% 12% 28% 33% 19% 5% 1%
174 ZHOU Lei 29% 43% 22% 5% 1% - -
175 KNOX Alexia 40% 43% 14% 2% - - -
176 CORDERO Allison 12% 33% 35% 17% 4% - -
177 LI Alisha 14% 39% 33% 12% 2% - -
177 BULK Sierra 92% 8% - - - - -
179 OH Kaitlin Y. 12% 33% 34% 16% 4% - -
180 RUMMEL Katherine E. 32% 44% 20% 4% - - -
180 JIANG Corina 4% 21% 36% 27% 9% 1% -
182 CHIRASHNYA Noya 4% 29% 39% 22% 6% 1% -
183 DUMAS Marie 13% 34% 33% 15% 3% - -
184 HESS Heidi J. 8% 29% 36% 21% 6% 1% -
185 VANDERLINDEN Mira 6% 28% 39% 22% 5% - -
186 XU Jessica 34% 41% 19% 4% 1% - -
187 SINHA Zara 37% 41% 18% 4% - - -
188 BYBEE Lucy J. 26% 45% 24% 4% - - -
189 MAMEDOVA Farah 66% 29% 4% - - - -
190 BEEM Marin 37% 43% 17% 3% - - -
191 HU Chelsea 16% 42% 31% 9% 1% - -
192 CHANG Ella 3% 20% 38% 28% 9% 1% -
193 HIRSCH Naomi B. 12% 33% 34% 17% 4% - -
193 GERARDIN Marie 2% 15% 32% 32% 16% 4% -
195 PAN Michelle < 1% 14% 38% 34% 12% 2% -
195 MACEY Hadley 56% 36% 8% 1% - - -
197 GLICK Nina 28% 42% 24% 6% 1% - -
198 SON Katherine (Injee) 23% 43% 27% 7% 1% -
199 HOSANAGAR Inchara 63% 31% 5% - - - -
200 PRIHODKO Nina 26% 44% 24% 5% 1% - -
200 SINGH Aayushi 51% 38% 10% 1% - - -
202 HSU Adele Y. 23% 45% 26% 6% 1% - -
203 DU Angela 15% 35% 32% 15% 4% - -
204 ZHANG Chuyi 7% 30% 39% 19% 4% - -
205 LONG Madeline M. 20% 46% 27% 7% 1% - -
206 LEE Anna 30% 49% 18% 3% - - -
207 CHEN Quanyou Lisa 97% 3% - - - - -
208 ZHENG Linden 37% 43% 17% 3% - - -
209 LIU Alice 66% 30% 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.