January NAC

Junior Women's Épée

Monday, January 8, 2024 at 10:30 AM

San Jose McEnery Convention Center - San Jose, CA, 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 FALLON Kyle R. - - 1% 8% 41% 50%
2 YIN Julia - - - 5% 24% 47% 24%
3 OXENREIDER Tierna A. - - - - 5% 30% 64%
3 KETKAR Ketki - - - - 2% 20% 78%
5 XIAO Ruien - - - - 5% 29% 66%
6 JOYCE Michaela - - - - 5% 30% 65%
7 WANG Ziqi (yoyo) - 2% 13% 33% 35% 15% 2%
8 KHAMIS Yasmine A. - - 1% 7% 27% 42% 23%
9 ZHANG Victoria R. - - - 4% 20% 47% 29%
10 DOROSHKEVICH Victoria - 1% 6% 24% 43% 26%
11 XUAN Nicole J. - - - 3% 18% 46% 32%
12 ZIGALO Elizabeth - - - 2% 15% 47% 36%
13 WU Fan - - 1% 9% 28% 40% 22%
14 WANG Karen - - - 3% 15% 40% 41%
15 RAKHOVSKI Alexandra - - 1% 7% 25% 42% 25%
16 FENG Ge - 1% 8% 24% 36% 25% 6%
17 SPRINGER Sierra - - 13% 37% 35% 13% 2%
18 YU Nicole J. - - 5% 22% 38% 28% 6%
19 CHIN Isabella - - - - 5% 30% 64%
20 MEHROTRA Anya - 1% 6% 24% 43% 27%
21 GU Sarah - - - 2% 13% 42% 43%
22 O'DONNELL Amanda A. - - - 2% 16% 45% 36%
23 TOLSMA Chloe (CJ) - - 1% 7% 28% 44% 20%
24 LUO Ashley - - 1% 5% 22% 42% 30%
25 PADHYE Tanishka - - 3% 16% 34% 34% 12%
26 CALDERA Lexi I. - 1% 8% 27% 38% 23% 5%
27 KOZLOWSKI Maya M. - 3% 17% 35% 33% 11% 1%
28 SEBASTIAN Felicity A. - - - 3% 17% 43% 37%
29 NGUYEN Tallulah - - 2% 14% 36% 37% 11%
30 PRESMAN Aerin - 7% 30% 39% 20% 4% -
31 YANG Alisa - 1% 9% 31% 41% 18%
32 DUBEAU Alexa 2% 13% 33% 34% 15% 3% -
33 JAKEL Sophia N. - - - 1% 8% 36% 56%
34 MACHULSKY Leehi - - - - 4% 30% 66%
35 TYLER Syd - - - 2% 17% 48% 32%
36 LEE REGINA - - 1% 5% 22% 42% 30%
37 KORFONTA Jolie - - - 1% 11% 39% 48%
38 KIM Zoe L. - - 3% 16% 35% 34% 12%
39 LU Junyao - - 3% 13% 31% 37% 16%
40 CAFASSO Natalya - 2% 11% 30% 38% 18% 1%
41 LEUNG Natalie - 1% 5% 21% 40% 29% 4%
42 ZUHARS Renee A. - - - 1% 8% 35% 57%
43 PARK Faith K. - - - 1% 7% 33% 60%
44 YAO Melinda - - 3% 18% 40% 32% 5%
45 PEHLIVANI Zara - 2% 11% 30% 37% 18% 2%
46 NING Emma - - - 3% 19% 45% 33%
47 WADE-CURRIE Ava S. - - - 2% 15% 51% 32%
48 REID Anousheh - 1% 6% 21% 37% 29% 6%
48 GAJJALA Sharika R. - - - 3% 17% 42% 38%
50 MAO Amy - - 1% 9% 29% 41% 20%
51 YOUNG VIVIAN - 6% 30% 40% 20% 4% -
52 GANDHI Sedna S. - - - 3% 18% 43% 35%
52 LAN Alice S. - - 2% 13% 36% 38% 11%
52 YOU Emily - 3% 21% 41% 27% 7% 1%
55 ZHEREBCHEVSKA Veronika - 2% 15% 38% 33% 11% 1%
56 QI Jarynne Valerie 1% 8% 28% 38% 21% 4%
57 LEE Natasha - - 1% 13% 39% 40% 7%
58 LEE Sumin - - - 3% 18% 42% 36%
59 CAMPBELL Eva - 11% 33% 36% 17% 3% -
60 DESAI Meera P. - 2% 9% 26% 35% 22% 5%
61 WANG Zoe - 2% 14% 35% 34% 14% 2%
62 WATTANAKIT Anda - 1% 11% 35% 39% 13% 1%
63 BEZUGLAYA Varvara - 2% 10% 26% 35% 22% 5%
64 NAKA Emily - 7% 36% 40% 15% 2% -
65 CHEN Lefu - - - 2% 18% 48% 31%
66 SWENSON Nikita G. - - 5% 22% 38% 28% 7%
67 SMUK Alexandra S. - - 3% 17% 37% 33% 9%
68 KALE Anika A. - 1% 9% 30% 39% 19% 2%
69 LONADIER Keira - 2% 12% 31% 36% 17% 3%
70 DAMRATOSKI Anna Z. - - 3% 16% 38% 35% 7%
71 WANG Elizabeth - - 1% 9% 29% 41% 20%
71 CHEN Zhengnan(Janet) - - 1% 9% 32% 43% 15%
73 LI Fei - 1% 10% 31% 38% 18% 2%
74 HU Grace - - - 2% 15% 42% 40%
75 TRAN Helena - 9% 33% 37% 17% 3% -
76 KORKIN Alice - 3% 18% 36% 31% 10% 1%
77 KUZNETSOV Victoria - - - 1% 11% 46% 42%
78 NELSON-LOVE Lily B. - 6% 25% 40% 24% 5%
79 LIU Christina A. - 1% 6% 25% 39% 25% 5%
80 DU Eiry - 2% 15% 34% 33% 14% 2%
81 MUELLER Emma M. - - 5% 21% 38% 29% 5%
82 DAHER Yasmine - 2% 14% 34% 35% 14% 2%
83 HUREL Bertille 2% 10% 26% 33% 22% 7% 1%
84 BUSH emma - - 5% 26% 44% 23% 2%
84 XIONG Angelica - 1% 12% 33% 37% 15% 2%
86 HONG Elaine - 1% 7% 25% 38% 24% 5%
87 NGUYEN Kaylin A. - - 9% 33% 40% 16% 2%
88 LI Judy - 5% 25% 42% 24% 4% -
89 BASRALIAN Azniv - 3% 26% 44% 23% 4% -
90 POHREBNA Yeva - 2% 12% 29% 35% 19% 4%
91 SMOTRITSKY Mia - - 5% 23% 41% 27% 4%
92 ALEXANDROV Katherine S. - 2% 11% 30% 38% 18% 2%
93 LI Zhenni (Jenny) - 4% 21% 37% 28% 9% 1%
94 CHA Eugenie 1% 11% 33% 35% 16% 3% -
95 CARRIER Meredith - 2% 12% 36% 38% 11% 1%
96 LIU Nicole 2% 17% 35% 31% 13% 3% -
97 KETKAR Mallika - 2% 14% 34% 37% 13%
98 SOBUS Yanka - 6% 34% 44% 14% 1%
99 MILLETTE Marie Frederique - - - 1% 13% 48% 37%
100 WEBER Nora - 1% 9% 31% 39% 17% 2%
101 BEAVER Ava 1% 13% 40% 34% 11% 2% -
102 WITTER Catherine A. - 1% 8% 28% 41% 21% 2%
103 CHISHOLM Phoebe C. - 4% 22% 37% 27% 9% 1%
104 GUO Luxi 1% 6% 20% 35% 28% 10% 1%
105 MANDAP Svetlanna - 6% 27% 39% 22% 5% -
106 CHANG Celine A. - 5% 23% 40% 26% 5% -
106 JOYAL Anne-Sophie - 1% 14% 36% 35% 13% 1%
108 PRIHODKO Nina - 9% 30% 37% 19% 4% -
109 CHERNIS Zoe C. 5% 22% 36% 27% 9% 1% -
109 WONG Alexandra R. - 1% 11% 31% 38% 18% 2%
111 BECKMAN Ana - 2% 11% 30% 38% 18% 1%
112 LENDIS Gabrielle 1% 12% 38% 35% 13% 2% -
113 DOUGLAS Julia F. - 1% 9% 28% 39% 21% 2%
114 SHIV Avni - 2% 13% 35% 35% 13% 1%
115 KIM Jayna - 5% 24% 41% 24% 4% -
116 LEE Olivia - 2% 14% 34% 34% 14% 2%
117 RUNIONS Emersyn - 1% 6% 23% 39% 26% 5%
118 AZMEH nour - 2% 14% 36% 35% 12% 1%
119 MUN Brianna K. - 4% 22% 40% 27% 6% -
120 BALAKRISHNAN Trisha - 8% 29% 39% 20% 3% -
121 BRAGG Leah 21% 42% 28% 8% 1% - -
122 SENYUVA Su 2% 14% 33% 32% 15% 3% -
123 CHEN Jingyun - 12% 35% 35% 15% 3% -
124 CAMAMA Tessa 7% 30% 37% 20% 6% 1% -
125 LIN Ariel 8% 34% 38% 17% 3% -
126 KANASKAR Ila 47% 40% 12% 1% - -
127 LEE Camilla 20% 42% 28% 8% 1% -
128 ANDERSON Claire - 7% 27% 38% 23% 5% -
129 AI Amy - 3% 14% 31% 33% 17% 3%
130 SYKES Elynor - 2% 13% 34% 35% 14% 1%
131 WANG Angelina 1% 17% 40% 31% 10% 1% -
132 SONG Angela - - 4% 17% 37% 34% 8%
133 WANG Jessie - 7% 27% 38% 23% 5% -
134 GEVA Eliana 1% 12% 44% 35% 8% -
135 LIN Elaine - 2% 32% 43% 20% 3% -
136 CHUNG Penelope 10% 38% 37% 13% 2% - -
137 UNGURIANU Nika 4% 30% 41% 21% 4% - -
138 SHU Youshan - 4% 19% 35% 29% 11% 1%
139 KIM Elizabeth Y. - - 6% 25% 41% 24% 4%
140 CANNING Charlotte 1% 7% 23% 35% 25% 8% 1%
141 FABBRO Izabela - - - 4% 22% 47% 27%
142 IYER Ishana - 7% 26% 37% 23% 6% -
143 SCANLAN Claire 12% 54% 28% 5% - - -
144 XU Grace (XinYi) - - 4% 21% 40% 28% 6%
145 BURICEA Ada 25% 42% 26% 7% 1% - -
146 DAYAL Saahira 14% 37% 34% 13% 2% - -
147 BHATT Anisha 15% 38% 33% 12% 2% - -
148 MOLLINIER Angel 14% 54% 28% 5% - -
149 GEBALA Natalie Brooke A. - - 3% 23% 51% 22%
150 YANG Arianna 71% 26% 3% - - - -
151 SAUCEDO Grecia 26% 43% 24% 6% 1% - -
152 SALISTRA Emilia 1% 18% 42% 30% 8% 1% -
153 KLIMENKO Anna 3% 18% 34% 31% 12% 2% -
154 SU Evelyn 1% 20% 41% 29% 9% 1% -
155 EDWARDS Auprell - 2% 13% 32% 35% 16% 2%
156 BROWN Riley 9% 38% 38% 13% 2% - -
157 LAI Amanda 1% 23% 41% 27% 8% 1% -
158 KUDRYAVTSEVA Margarita 4% 24% 42% 24% 5% - -
158 KAUSHISH Sara 12% 35% 35% 15% 3% - -
158 XU Celina 28% 41% 23% 6% 1% - -
161 LIANG Jingjing - 8% 29% 38% 20% 4% -
162 YAO Yilin - 4% 26% 41% 23% 5% -
163 HUANG Lanlan - 8% 28% 37% 22% 5% -
164 BLANCO Ariia 8% 47% 35% 10% 1% - -
165 LEWIS Rachel 2% 26% 40% 24% 7% 1% -
165 ZHOU Wenjun - 3% 17% 35% 31% 12% 2%
167 PANT Anisha 4% 21% 37% 28% 9% 1% -
167 DALEY Keira 2% 15% 36% 32% 12% 2% -
169 HICKS Grace 1% 9% 28% 37% 21% 5% -
170 AIRES Julia 6% 42% 37% 13% 2% - -
171 ABUELFUTUH Sama 4% 20% 36% 28% 11% 2% -
172 GAO Judy 3% 17% 36% 32% 11% 1%
173 LIU Baihan 4% 24% 40% 25% 6% 1%
174 ENRILE Erica 23% 43% 26% 7% 1% -
175 LIN Victoria T. 5% 30% 43% 19% 3% - -
176 HASIM Eurietta 6% 38% 39% 15% 2% - -
177 LIN Ashley 1% 8% 27% 36% 22% 6% 1%
178 SCHERK Veronica 5% 23% 36% 25% 9% 1% -
179 PAN Michelle - 6% 27% 38% 23% 6% 1%
180 GUESNARD Maelig 41% 41% 15% 3% - - -
181 DUONG Zoey 2% 23% 40% 27% 8% 1% -
182 PINNAMANENI Drithi - 5% 26% 39% 24% 5% -
183 SHELIN Chelsea - 8% 35% 38% 16% 3% -
184 OLORVIDA Isabella 9% 47% 34% 9% 1% - -
185 SMUK Daria A. 1% 7% 25% 38% 23% 5% -
186 HSIU Elizabeth 2% 30% 42% 20% 4% - -
187 SUN Hanya 1% 14% 36% 35% 13% 1% -
188 SUN MANRONG 5% 23% 38% 26% 8% 1% -
188 PARSONS Mischa 9% 39% 36% 14% 3% - -
190 MARTYNOVA Diana 1% 8% 26% 36% 23% 6% 1%
191 POPA Catherine 2% 14% 32% 32% 16% 4% -
192 BENNETT Vienne 58% 34% 7% 1% - - -
192 CHANG Abigail 19% 49% 26% 5% - - -
194 SHARMA Sanvi 2% 38% 40% 17% 3% - -
195 KANE Chloe 4% 38% 41% 15% 2% - -
196 KANDALA Aanya 50% 40% 9% 1% - - -
196 KROTZ Gemma 88% 11% - - - - -
198 CHIOU-WILLIAMS Matea 32% 45% 19% 4% - - -
199 CHUANG Ramona 21% 41% 28% 8% 1% - -
199 KUKVA Taisiya 2% 15% 34% 33% 14% 2% -
201 SIMHADRI Sanjana 73% 25% 3% - - - -
202 PATTERSON Liliya 39% 50% 11% 1% - - -
203 KAUR Jaap 44% 45% 10% 1% - - -
204 TARTAGLIA Maya 76% 24% 1% - - - -
205 PHUKAN Indra 3% 17% 36% 31% 11% 2% -
206 CHANG chaehee 68% 29% 3% - - -
207 LIN Isabel 21% 44% 27% 7% 1% - -
208 GUAN Isabella 2% 36% 41% 17% 3% - -
209 EYUNNI Vibha 78% 20% 2% - - - -
210 COHEN Shaina 71% 26% 3% - - - -
211 ZHANG Helen 41% 49% 9% 1% - - -
212 CHANG Chloe 6% 40% 37% 13% 2% - -
213 LEE Valerie 77% 21% 2% - - - -
214 DWIGGINS Reese 54% 37% 8% 1% - - -
215 MADANNAVAR Trisha 75% 23% 2% - - - -
216 WANG Victoria 21% 40% 28% 9% 1% - -
217 CHIRASHNYA Mika 21% 41% 28% 9% 1% - -
217 CHEN Samantha 71% 26% 2% - - - -
217 LI Yunxuan (Joy) 57% 35% 7% 1% - - -
220 POON Desiree 30% 51% 17% 2% - - -
221 JAIN Aashi 93% 7% - - - - -
222 YUNG Bethany 20% 74% 5% - - - -
223 MOORADIAN Anya 49% 39% 10% 1% - - -
224 LEE Emma 86% 14% 1% - - - -
224 LE Luana 72% 25% 3% - - - -
226 JAIN Prisha 91% 9% - - - - -
227 SCANLAN Alina Nev 79% 19% 2% - - - -
228 MENG Fina 80% 18% 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.