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January NAC

Junior Women's Épée

Sunday, January 8, 2023 at 12:00 PM

Louisville, KY, 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 GU Sarah - - 1% 8% 26% 41% 25%
2 PARK Faith K. - - - - 5% 29% 66%
3 HUSISIAN Hadley N. - - - - 1% 13% 86%
3 GANDHI Sedna S. - - - 5% 20% 43% 32%
5 WU Fan - - 6% 23% 37% 26% 7%
6 CHIN Isabella - - - 3% 17% 43% 37%
7 GAJJALA Sharika R. - - 2% 11% 33% 39% 15%
8 LU Junyao - 1% 10% 28% 37% 20% 3%
9 OXENREIDER Tierna A. - - - 1% 10% 36% 53%
10 MACHULSKY Leehi - - 1% 6% 24% 42% 27%
11 MAO Amy - - 4% 19% 36% 30% 9%
12 XIAO Ruien - - 3% 15% 34% 36% 12%
13 JOYCE Michaela - - - - 6% 31% 63%
14 TYLER Syd - - 4% 23% 47% 25%
15 LUO Ashley - 1% 5% 21% 39% 30% 5%
16 KORFONTA Jolie - - 1% 7% 27% 42% 23%
17 MILLETTE Marie Frederique - - - 5% 24% 44% 27%
18 KIM Zoe L. - - 5% 20% 37% 29% 8%
19 WANG Elizabeth - - 1% 9% 28% 41% 21%
20 XUAN Nicole J. - - 3% 17% 37% 32% 10%
21 KETKAR Ketki - - - - 4% 27% 69%
22 O'DONNELL Amanda A. - - 2% 10% 29% 40% 19%
23 HU Grace - - 1% 5% 21% 42% 31%
24 CAPELLUA Mariasole - 2% 12% 31% 37% 16% 2%
25 SEBASTIAN Felicity A. - 1% 6% 22% 37% 28% 7%
26 NING Emma - - 1% 9% 29% 41% 20%
27 YAO Melinda - 1% 6% 24% 38% 25% 6%
28 DROVETSKY Alexandra M. - - 2% 12% 31% 38% 17%
29 LIN Jessica Y. - - - - 4% 28% 67%
30 WITTE Vera - 3% 19% 35% 30% 11% 2%
31 MCLANE Lauren - - 2% 12% 33% 39% 13%
32 MEHROTRA Anya - - 2% 11% 31% 39% 17%
33 KHAMIS Yasmine A. - - - 1% 10% 37% 52%
34 DAMRATOSKI Anna Z. - 2% 14% 33% 34% 15% 2%
35 LEE Michelle J. - 5% 25% 44% 26%
36 YIN Julia - 1% 6% 22% 37% 27% 7%
37 KIM Jayna 3% 15% 32% 32% 16% 3% -
38 TEMIRYAEV Anna M. - 1% 9% 27% 39% 22% 3%
39 FALLON Kyle R. - - - 4% 19% 42% 35%
40 WADE-CURRIE Ava S. - 3% 16% 35% 35% 11%
41 CHEN Zhengnan(Janet) - - 4% 22% 49% 25%
42 LEE Sumin - - 3% 18% 46% 33%
43 PEHLIVANI Zara - 3% 14% 33% 34% 14% 1%
44 KHARCHYNA Polina - 1% 13% 34% 35% 15% 2%
45 JOYAL Anne-Sophie 2% 14% 32% 32% 16% 3% -
46 YU Nicole J. - 4% 19% 34% 30% 11% 2%
47 LEE REGINA - 4% 19% 36% 29% 11% 1%
48 CALDERA Lexi I. - 3% 14% 33% 36% 15% 1%
49 QI Jarynne Valerie 1% 14% 34% 33% 15% 3% -
50 LEE Olive - 2% 16% 35% 32% 13% 2%
51 KUZNETSOV Victoria - - 1% 7% 25% 41% 25%
52 GAO Judy 2% 14% 33% 33% 15% 3% -
53 DONDISCH Sophia 1% 10% 29% 36% 20% 4% -
54 WATRALL Christina - - 1% 12% 45% 42%
55 LEE yat ching 8% 30% 37% 20% 5% -
56 LAN Alice S. 2% 14% 33% 34% 14% 2%
57 JAKEL Sophia N. - - 1% 6% 23% 41% 28%
58 KETKAR Mallika - - 4% 19% 39% 30% 8%
59 DOROSHKEVICH Victoriia - 3% 13% 31% 34% 16% 3%
59 LEE Olivia 2% 12% 30% 35% 18% 4% -
61 TOLSMA Chloe (CJ) - 2% 18% 37% 30% 11% 1%
62 SHU Youshan 13% 35% 34% 15% 3% - -
63 ZHU Chenxi (Heidi) - - 3% 14% 34% 37% 13%
64 ZIGALO Elizabeth - - 4% 18% 37% 33% 9%
65 REID Sobia - - 2% 12% 33% 38% 15%
66 CHENG Ava - 4% 17% 34% 31% 12% 2%
67 CHERNIS Zoe C. 1% 10% 29% 36% 20% 4% -
68 NGUYEN Tallulah - - 1% 9% 28% 41% 20%
69 YANG Alisa - 6% 23% 36% 26% 8% 1%
70 LIN Ashley 12% 36% 34% 15% 3% - -
71 KIM Elizabeth Y. - 2% 16% 34% 32% 14% 2%
72 NGUYEN Kira - 1% 7% 25% 39% 24% 3%
73 WITTER Catherine A. - 3% 15% 34% 33% 14% 2%
74 DESAI Meera P. - 4% 16% 33% 32% 14% 2%
75 ANDERSON Claire 8% 27% 34% 22% 7% 1% -
76 SPRINGER Sierra 1% 10% 26% 34% 21% 6% 1%
77 YAO Yilin 1% 11% 31% 35% 18% 3% -
78 NOH Rachel 91% 9% - - < 1% - -
79 KOZLOWSKI Maya M. 2% 24% 44% 26% 5% -
80 SWENSON Nikita G. 1% 11% 37% 39% 12% 1%
81 SMUK Alexandra S. 6% 28% 41% 21% 4% -
82 HICKS Grace 1% 9% 30% 37% 19% 4% -
83 CHEN Lefu 1% 10% 33% 40% 15%
84 WEBER Nora 2% 11% 29% 34% 19% 5% -
85 GEBALA Natalie Brooke A. - - 2% 11% 32% 39% 16%
86 PRIHODKO Nina 5% 25% 38% 24% 7% 1% -
87 AZMEH nour 4% 19% 33% 28% 13% 3% -
87 LI Zhenni (Jenny) 18% 38% 30% 11% 2% - -
89 MUELLER Emma M. 1% 14% 36% 33% 14% 2% -
90 LU Samantha R. 1% 8% 27% 36% 22% 6% 1%
91 SANTA MARIA Luisa F. 10% 31% 35% 19% 5% 1% -
91 ZHOU Wenjun 2% 13% 30% 33% 18% 5% -
93 FENG ge 1% 7% 26% 39% 22% 5% -
93 SONG Angela 3% 21% 37% 28% 10% 2% -
95 XUE Alanna L. 4% 25% 42% 25% 5%
96 CHIRASHNYA Noya 6% 24% 34% 25% 9% 2% -
97 KALE Anika A. - 3% 15% 33% 33% 14% 2%
97 BUSH emma 2% 13% 31% 34% 16% 3% -
99 MUN Brianna K. 1% 11% 31% 35% 18% 4% -
99 WONG Alexandra R. 1% 15% 36% 33% 13% 2% -
101 NELSON-LOVE Lily B. - 3% 16% 35% 33% 12% 2%
102 CHA Eugenie 9% 29% 35% 20% 6% 1% -
103 RUNIONS Emersyn - 2% 12% 32% 37% 16% 1%
104 NGUYEN Audrey 11% 31% 35% 18% 5% 1% -
105 CANNING Charlotte 5% 22% 36% 27% 9% 1% -
106 SHIV Avni 5% 24% 37% 25% 8% 1% -
106 CAFASSO Natalya 2% 20% 38% 28% 9% 1% -
108 DENG Annie 17% 37% 31% 12% 2% - -
109 HESS Heidi J. 2% 14% 34% 33% 14% 2% -
110 MOON Seojung 14% 36% 33% 13% 3% - -
111 ZHANG Victoria R. - 5% 20% 35% 28% 10% 1%
112 YAO KATHARINE 11% 32% 35% 17% 4% - -
113 GUMAGAY Erika L. 1% 9% 31% 40% 17% 2%
114 KUMAR Eva 24% 41% 26% 8% 1% -
115 POIRIER Ariane 5% 24% 38% 26% 7% 1%
116 WANG Karen - - 2% 13% 36% 37% 11%
117 WU Amelia - - 2% 12% 32% 37% 16%
117 SU Evelyn - 8% 29% 37% 20% 5% -
119 ALEXANDROV Katherine S. - 2% 13% 32% 35% 15% 2%
120 KWON Athina - - 3% 14% 33% 36% 14%
120 PADHYE Tanishka - 3% 14% 31% 34% 16% 2%
122 PAPADAKIS Lily - 3% 14% 32% 34% 15% 2%
123 AI Amy 2% 20% 38% 28% 9% 1% -
123 SENYUVA Su 6% 27% 38% 22% 6% 1% -
125 MCCUTCHEN Lauren (Lulu) - 5% 20% 35% 28% 10% 1%
126 LIU Christina A. - 1% 6% 21% 36% 29% 8%
127 CARRIER Meredith 7% 33% 39% 18% 3% - -
128 MELLES Anne-Mai - - 4% 18% 36% 32% 10%
129 SMOTRITSKY Mia 4% 27% 42% 24% 4%
130 HUANG Lanlan 4% 32% 43% 19% 3% -
131 RAKHOVSKI Alexandra 1% 8% 25% 36% 23% 7% 1%
132 KOWALSKY Rachel A. - 1% 6% 21% 36% 28% 8%
133 LONADIER Keira 1% 7% 22% 35% 26% 8% 1%
134 GORNOVSKY Abigail 1% 17% 36% 31% 13% 2% -
135 SMUK Daria A. 8% 28% 36% 21% 6% 1% -
136 LONG Cindy - 4% 18% 33% 30% 12% 2%
137 KRUMHOLZ Nicole 12% 33% 34% 16% 4% - -
138 LI Charlotte 12% 36% 34% 15% 3% - -
139 MINOR Lindsey - 8% 31% 38% 18% 4% -
140 REID Anousheh 1% 6% 20% 33% 28% 11% 1%
141 JAKEL Alysa C. 4% 25% 41% 24% 6% 1% -
141 HONG Elaine 2% 11% 27% 33% 21% 6% -
143 SOTELO Michelle 5% 36% 39% 16% 3% - -
144 GUJJA Misha 1% 9% 28% 36% 21% 4% -
144 DUMAS Marie 11% 31% 35% 18% 5% 1% -
146 LIN Elaine 3% 18% 34% 30% 13% 3% -
147 LEE Yedda 1% 14% 36% 34% 14% 2% -
147 KIZILBASH Zara 22% 41% 27% 8% 1% - -
149 ABRAMSON Mariela R. 14% 36% 34% 14% 3% - -
150 BEI Karen - < 1% 4% 20% 43% 33%
151 SUN MANRONG 14% 40% 34% 11% 1% -
152 ENRILE Erica 33% 44% 19% 3% - -
153 KENT Elizabeth J. 3% 19% 36% 29% 11% 2% -
154 CHIN Sia 27% 41% 24% 7% 1% - -
155 SEMIKIN Julia - 2% 12% 30% 35% 18% 3%
156 LI Suri 19% 39% 29% 10% 2% - -
157 LI Fei 8% 34% 37% 17% 4% - -
158 FURMAN Maria - 8% 27% 36% 22% 6% 1%
159 NELSON Grace E. 48% 39% 11% 2% - - -
160 CHANG Celine A. 2% 34% 40% 19% 4% - -
161 WHITTEMORE Lucy K. - 2% 11% 29% 37% 19% 2%
161 YOU Emily 10% 31% 36% 18% 4% - -
161 LIANG Jingjing 34% 52% 12% 1% - - -
164 PINNAMANENI Drithi 8% 32% 37% 18% 4% - -
165 POTAPENKO Margarita D. 1% 6% 20% 33% 28% 11% 1%
166 WANG Nora - 2% 12% 29% 34% 19% 4%
167 HSIU Elizabeth 2% 48% 39% 10% 1% - -
168 ELSTON Sophia 1% 10% 29% 35% 19% 5% -
169 YAO Jillian 1% 8% 24% 35% 24% 7% -
170 RHODY Evalyn 87% 13% 1% - - - -
171 FAN Elizabeth 58% 34% 7% 1% -
172 SINHA Zara 14% 36% 33% 14% 3% - -
173 DALEY Keira 38% 42% 17% 3% - - -
174 MCKENNA Analise 73% 24% 3% - - -
175 MENDOZA zoie 29% 43% 22% 5% 1% - -
176 BENNETT Olivia 39% 42% 16% 3% - - -
177 ESTRADA Ariana 65% 30% 5% - - - -
178 MACEY Hadley 70% 26% 4% - - - -
179 MAGALSKI Mary 51% 37% 10% 1% - - -
180 SANTOS Cara 46% 45% 8% 1% - - -
180 MIHILL Margaret 76% 22% 2% - - - -
182 MANAUGH Calliope 71% 25% 3% - - - -
183 PERVEZ Zaynab 52% 38% 10% 1% - - -
183 DAVIS Elisabeth 88% 11% - - - - -

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.