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(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

January NAC

Div I Women's Épée

Monday, January 9, 2023 at 8:00 AM

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 7 8 9 10 11 12
1 HOLMES Katharine (Kat) W. - - - 1% 6% 33% 61%
2 KETKAR Ketki - - - 4% 19% 41% 36%
3 OXENREIDER Tierna A. - - 3% 16% 34% 34% 13%
3 CEBULA Anne - - 4% 16% 33% 33% 13%
5 PARK Faith K. - - 1% 8% 26% 40% 25%
6 BASSA Francesca A. - - - - 5% 29% 66%
7 CHIN Isabella - 1% 7% 23% 38% 27% 4%
8 GAJJALA Sharika R. 1% 7% 22% 34% 26% 9% 1%
9 HUSISIAN Hadley N. - - - 2% 14% 42% 42%
10 WANG Elizabeth 1% 5% 18% 32% 30% 13% 2%
11 LIN Jessica Y. - - 1% 9% 27% 41% 22%
12 GRADY Miriam A. - - 3% 14% 34% 37% 12%
12 WATRALL Christina - 1% 9% 26% 35% 22% 5%
14 GUZZI VINCENTI Margherita A. - - - 4% 20% 43% 32%
15 CALDERARO Margherita - - - 1% 4% 10% 19% 25% 22% 13% 5% 1% -
16 ZIGALO Elizabeth - - 1% 3% 10% 21% 27% 22% 11% 4% 1% -
17 LAN Alice S. - - 2% 8% 17% 24% 23% 15% 7% 2% - - -
18 PIRKOWSKI Amanda L. - - 2% 9% 26% 39% 24%
18 JAKEL Sophia N. - 3% 13% 29% 33% 18% 4%
20 XIAO Ruien 1% 9% 24% 33% 23% 8% 1%
21 JOYCE Michaela - - 2% 10% 30% 40% 18%
22 GU Sarah - 2% 10% 26% 35% 22% 4%
23 NIXON Catherine (Kasia) D. - - 1% 5% 21% 42% 31%
23 NING Emma - 3% 13% 30% 34% 17% 3%
25 MACHULSKY Leehi - 1% 6% 22% 36% 28% 8%
26 BOUDREAU Justine - - 2% 7% 15% 23% 24% 17% 8% 3% 1% - -
27 WANG Karen - - - - 1% 3% 9% 19% 26% 24% 14% 5% 1%
27 KORFONTA Jolie 5% 26% 37% 23% 7% 1% -
29 NIXON Caroline (Karolina) L. - - - - - - 1% 4% 13% 25% 30% 21% 6%
30 KWON Athina - - - 2% 6% 14% 23% 25% 19% 9% 3% - -
31 TYLER Syd - - - 2% 6% 14% 23% 25% 18% 9% 3% - -
32 ROSS Naomi O. - - - 1% 5% 11% 20% 25% 21% 12% 4% 1% -
33 TOBY Natalia R. - - 2% 13% 34% 38% 13%
33 LEE Sumin - 2% 9% 26% 36% 22% 4%
35 LIU Charlene (Kai) - - - 3% 15% 40% 42%
36 KHAMIS Yasmine A. - 1% 7% 23% 37% 26% 6%
37 MEHROTRA Anya - - 1% 5% 13% 22% 26% 20% 10% 3% - -
37 YIN Julia - - 1% 3% 10% 19% 25% 22% 13% 5% 1% -
39 HU Grace - 2% 11% 28% 36% 20% 3%
40 WASHINGTON Isis - - - 4% 18% 41% 37%
41 MYLER AnneMarie - 1% 5% 12% 21% 24% 20% 11% 4% 1% - - -
42 CHEN Zhengnan(Janet) - - - - 1% 5% 12% 21% 26% 21% 11% 3% -
43 WANG Nora - - - 3% 8% 17% 24% 24% 15% 7% 2% - -
44 MILLETTE Marie Frederique - - - - 1% 3% 10% 21% 29% 24% 11% 2%
45 FORNARIS Susana - - - - - - 1% 6% 16% 28% 30% 16% 3%
46 DORVAL Anne-Marie - - - 1% 3% 10% 21% 28% 23% 11% 3% -
47 KHARCHYNA Polina - - 1% 5% 13% 22% 25% 19% 10% 3% 1% -
48 XUAN Nicole J. - - - - - 2% 7% 16% 25% 25% 16% 6% 1%
49 GEBALA Natalie Brooke A. - - - 2% 7% 16% 25% 25% 16% 6% 1% -
50 FALLON Kyle R. - 4% 15% 29% 31% 17% 4%
51 DROVETSKY Alexandra M. - - - - - 2% 6% 15% 25% 27% 18% 6% 1%
52 DOROSHKEVICH Victoriia - - 1% 3% 9% 18% 24% 23% 15% 6% 2% - -
53 MAO Amy - - 1% 4% 10% 20% 25% 22% 13% 5% 1% - -
54 CHU Audrey - - - - 1% 3% 8% 17% 25% 25% 16% 6% 1%
55 YAMANAKA Mina - - - - - 2% 6% 15% 25% 27% 18% 7% 1%
56 KOWALSKY Rachel A. - - 1% 4% 10% 19% 24% 21% 13% 6% 2% - -
57 KETKAR Mallika - - - 1% 5% 12% 21% 25% 20% 11% 4% 1% -
58 WU Amelia - - 1% 5% 13% 22% 25% 19% 9% 3% - -
59 SMOTRITSKY Mia - - 2% 7% 16% 24% 24% 16% 7% 2% - - -
60 ANDERSON Claire 3% 12% 23% 27% 20% 10% 4% 1% - - - - -
61 PAPADAKIS Lily - - 2% 6% 14% 22% 24% 18% 9% 3% 1% - -
62 PADHYE Tanishka - 1% 5% 14% 22% 25% 18% 10% 3% 1% - - -
63 WHITTEMORE Lucy K. - - 2% 7% 17% 25% 24% 16% 7% 2% - - -
64 CAFASSO Natalya 1% 5% 15% 25% 26% 17% 8% 2% 1% - - - -
65 DAMRATOSKI Anna Z. - 1% 5% 13% 23% 25% 19% 10% 3% 1% - - -
66 GANDHI Sedna S. - - - - - 1% 3% 10% 22% 30% 23% 10% 2%
67 TEMIRYAEV Anna M. - - - 2% 7% 15% 23% 25% 17% 8% 2% - -
68 YU Nicole J. - 1% 3% 11% 21% 26% 21% 12% 4% 1% - - -
68 KUZNETSOV Victoria 1% 10% 27% 34% 22% 6% -
70 HUELLAS-BRUSKIEWICZ Marie-Rose R. - - 2% 7% 15% 23% 24% 17% 8% 3% 1% - -
71 GUJJA Misha 2% 10% 23% 28% 22% 11% 4% 1% - - - -
72 RUNIONS Emersyn - 1% 6% 16% 26% 26% 17% 7% 2% - - -
73 CALDERA Lexi I. - 2% 8% 18% 25% 24% 15% 6% 2% - - -
74 VAN MARION Kirsten C. - - 1% 5% 15% 24% 26% 18% 8% 2% - - -
74 LUO Ashley - - 1% 3% 10% 19% 25% 22% 14% 6% 1% - -
76 REID Anousheh - 2% 8% 18% 25% 24% 15% 6% 2% - - -
77 YANG Alisa - 1% 6% 15% 24% 25% 17% 8% 2% - - - -
77 MELLES Anne-Mai - - 2% 7% 15% 23% 24% 17% 8% 3% - - -
79 WITTER Catherine A. - 1% 4% 13% 23% 26% 19% 9% 3% 1% - -
80 CHEN Lefu - - - 1% 2% 8% 16% 24% 24% 16% 7% 2% -
81 RAUSCH Ariana (Ari) M. - 2% 11% 29% 36% 18% 3%
82 ZHOU Wenjun 1% 6% 16% 25% 25% 16% 7% 2% - - - -
83 KIM Zoe L. - - - 3% 8% 17% 25% 24% 15% 6% 2% - -
84 LURYE Sarah - - - - 1% 4% 10% 19% 26% 23% 13% 4% 1%
84 ISERT Sarah 6% 23% 35% 26% 9% 1% -
86 NGUYEN Tallulah - 4% 16% 32% 31% 14% 2%
87 POLANICHKA Nicole P. - - 2% 8% 18% 25% 24% 15% 6% 2% - - -
87 PROCTOR Sara J. - - - 2% 8% 17% 25% 24% 15% 6% 1% - -
87 LI Zhenni (Jenny) 3% 15% 27% 27% 17% 7% 2% - - - - - -
90 MCCUTCHEN Lauren (Lulu) - 1% 4% 11% 21% 25% 21% 12% 4% 1% - - -
90 SEMIKIN Julia - - 2% 8% 17% 24% 24% 16% 7% 2% - -
92 LORD Sarah-Eve 4% 16% 27% 26% 17% 8% 2% 1% - - - - -
93 KUNJAN Lena R. - - 2% 6% 14% 22% 24% 18% 9% 3% 1% - -
94 ABRAMSON Mariela R. 8% 24% 31% 22% 10% 3% 1% - - - - - -
95 SEBASTIAN Felicity A. - - - 3% 8% 17% 24% 24% 15% 6% 2% - -
96 GUMAGAY Erika L. - 2% 9% 19% 26% 23% 13% 5% 1% - - - -
97 KIM Jayna 1% 8% 21% 28% 23% 12% 4% 1% - - - - -
98 KALE Anika A. - 1% 4% 12% 23% 27% 20% 10% 3% - - -
99 LEE Michelle J. - - 3% 17% 42% 38%
100 FOELLMER Kristin - - 3% 16% 35% 34% 11%
101 LU Junyao 1% 6% 21% 33% 27% 11% 2%
102 SPRINGER Sierra 3% 16% 34% 32% 13% 2%
103 FAN Elizabeth 15% 36% 33% 13% 2% -
104 MUN Brianna K. 6% 23% 36% 26% 8% 1%
105 REID Sobia - 5% 19% 33% 29% 12% 2%
106 CAPELLUA Mariasole - 3% 13% 28% 33% 19% 5%
107 DONDISCH Sophia 3% 14% 29% 31% 18% 5% 1%
108 PEHLIVANI Zara - 3% 13% 29% 33% 19% 4%
109 LIU Christina A. - 3% 14% 31% 34% 16% 2%
110 WADE-CURRIE Ava S. - 1% 4% 15% 31% 34% 16%
111 CANNING Charlotte 9% 28% 34% 21% 7% 1% -
112 NGUYEN Audrey 3% 16% 30% 30% 16% 4% -
113 RATZLAFF Jocelyn T. - - 2% 11% 29% 38% 19%
113 YAO Yilin 5% 19% 32% 28% 13% 3% -
115 SONG Angela 4% 18% 32% 28% 13% 3% -
116 MCLANE Lauren - - 3% 14% 32% 36% 16%
117 FENG ge 1% 9% 27% 37% 22% 4%
118 DESAI Meera P. 3% 16% 33% 32% 14% 2%
119 YOU Emily 7% 29% 38% 21% 5% -
120 WEBER Nora 3% 16% 33% 32% 14% 2%
121 ELSTON Sophia 3% 15% 31% 31% 16% 4% -
122 SWENSON Nikita G. 4% 19% 34% 28% 12% 2% -
123 ZHENG Evelyn 1% 7% 22% 33% 26% 10% 1%
124 SENYUVA Su 13% 37% 33% 14% 3% - -
125 RAKHOVSKI Alexandra 1% 6% 19% 31% 28% 13% 2%
126 JAKEL Alysa C. 10% 31% 34% 19% 5% 1% -
126 BEI Karen - 1% 7% 21% 33% 28% 9%
128 LEE Olive 1% 10% 28% 35% 20% 6% 1%
129 ZHANG Victoria R. 3% 14% 29% 31% 18% 5% 1%
130 WONG Alexandra R. 7% 25% 34% 24% 9% 2% -
131 ASHER Valerie 3% 16% 30% 30% 16% 4% -
132 DOUGLAS Elizabeth (Liz) L. 1% 8% 24% 34% 24% 8% 1%
133 NELSON-LOVE Lily B. 3% 16% 31% 30% 16% 4% -
134 LIN Elaine 5% 20% 34% 28% 11% 2% -
135 MONTOYA Kimberlee C. - 1% 6% 20% 35% 30% 9%
136 GORNOVSKY Abigail 3% 14% 30% 31% 17% 4% -
136 SHU Youshan 5% 22% 35% 26% 9% 2% -
136 LI Fei 40% 40% 16% 3% - - -
139 WELLS Tessa (Tesla) M. 4% 18% 33% 29% 13% 3% -
140 LEE Olivia 2% 12% 29% 33% 18% 5% -
141 LOMBARD Ella - 1% 8% 27% 41% 23%
142 BINDAS Blodwen S. 2% 13% 31% 33% 17% 3%
143 SMUK Daria A. 3% 19% 37% 29% 10% 1%
144 SMUK Alexandra S. 16% 36% 32% 13% 3% -
145 WITTE Vera 3% 19% 36% 29% 10% 1%
146 LEE yat ching 10% 30% 35% 19% 5% -
147 JOBALIA Ria 2% 11% 29% 36% 20% 4%
148 KRUMHOLZ Nicole 6% 33% 40% 18% 3% - -
149 TOLSMA Chloe (CJ) 2% 11% 26% 32% 22% 7% 1%
150 FURMAN Maria 4% 18% 33% 30% 13% 3% -
151 LU Samantha R. 5% 20% 33% 28% 12% 3% -
152 LONADIER Keira 5% 21% 35% 27% 10% 2% -
152 CARRIER Meredith 14% 34% 32% 15% 4% - -
152 SUN MANRONG 19% 38% 29% 11% 2% - -
155 BUSH emma 2% 14% 31% 32% 17% 4% -
156 LANZMAN Anna B. 1% 7% 22% 32% 26% 10% 2%
157 TONG Sarah Shen 1% 6% 19% 32% 28% 13% 2%
158 LIANG Jingjing 60% 33% 6% 1% - - -
159 HENDRICK Heidi M. 3% 16% 32% 30% 15% 4% -
160 MINOR Lindsey 4% 19% 32% 28% 13% 3% -
161 SCHMIDT Lori M. - 5% 18% 33% 30% 13% 2%
162 BOTNER Olivia 11% 30% 34% 19% 5% 1% -
163 LEE Yedda 5% 22% 35% 26% 10% 2% -
164 KENT Elizabeth J. 2% 17% 39% 31% 10% 1% -
165 SU Evelyn 19% 41% 29% 9% 1% - -
166 AZMEH nour 15% 36% 33% 14% 3% -
167 LIN Ashley 9% 30% 36% 19% 4% -
168 KIM Elizabeth Y. 2% 14% 32% 33% 16% 3%
169 MUELLER Emma M. 12% 33% 34% 17% 4% -
170 POTAPENKO Margarita D. 6% 24% 36% 25% 9% 1%
171 CHA Eugenie 31% 42% 22% 5% 1% -
172 YAO Melinda 2% 13% 31% 35% 17% 3%
173 QI Jarynne Valerie 25% 40% 25% 8% 1% -
174 PINNAMANENI Drithi 11% 33% 35% 17% 3% -
175 ALEXANDROV Katherine S. - 4% 18% 34% 30% 12% 2%
176 SHIV Avni 9% 27% 34% 21% 7% 1% -
177 O'DONNELL Amanda A. - < 1% 1% 6% 22% 40% 30%
178 NI Emma - 1% 6% 20% 33% 29% 10%
179 KUMAR Eva 10% 30% 34% 19% 5% 1% -
180 PRIHODKO Nina 7% 26% 35% 23% 8% 1% -
181 YAO KATHARINE 12% 35% 34% 15% 3% - -
181 HICKS Grace 12% 32% 34% 17% 5% 1% -
183 HONG Elaine 3% 14% 29% 31% 18% 5% -
184 HUANG Lanlan 27% 41% 24% 7% 1% - -
185 LONG Cindy 1% 8% 23% 33% 25% 9% 1%
186 POIRIER Ariane 11% 30% 33% 19% 6% 1% -
187 TAPIA Sandy - 5% 21% 35% 27% 10% 1%
187 AI Amy 7% 23% 33% 25% 10% 2% -
189 CHANG Celine A. 15% 35% 32% 14% 3% - -
190 GAO Judy 8% 28% 36% 21% 6% -
191 ENRILE Erica 36% 42% 18% 4% - -
192 YAO Jillian 1% 9% 31% 38% 18% 3% -
193 CHENG Ava 2% 15% 31% 31% 16% 4% -
194 LI Charlotte 30% 43% 22% 5% 1% - -
195 HSIU Elizabeth 27% 43% 24% 6% 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.