January NAC

Div I Women's Saber

Sunday, January 8, 2023 at 2:00 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 FOX-GITOMER Chloe N. - - - 1% 11% 40% 48%
2 KIM Zoe - - 1% 10% 32% 42% 14%
3 SULLIVAN Siobhan R. - - - 2% 12% 40% 45%
3 SHOMAN Jenna - - 3% 18% 43% 36%
5 STRZALKOWSKI Aleksandra (Ola) M. - - 3% 14% 34% 36% 12%
6 CHAMBERLAIN Maia C. - - - 4% 28% 68%
7 KOVACS Sophia - - 2% 10% 29% 39% 19%
8 MORALES Jessica Y. - - 4% 20% 41% 30% 5%
9 SKARBONKIEWICZ Magda - - - - 3% 24% 73%
10 NAZLYMOV Tatiana F. - - - 2% 14% 43% 42%
11 PAK Kaitlyn - - 2% 10% 29% 39% 20%
12 WILLIAMS Jadeyn E. - - 2% 9% 27% 39% 23%
13 SHEALY Maggie - - 1% 8% 27% 42% 23%
14 TOLEDO AMES Julieta Isabel - - - 2% 13% 41% 44%
15 CHIN Erika J. - - 4% 19% 37% 31% 9%
16 LU Elaine 3% 17% 34% 30% 13% 3% -
17 JOHNSON Honor - - - 1% 9% 38% 52%
18 HILD Nisha - 3% 15% 34% 34% 13% 1%
19 LINDER Kara E. - - - - 3% 22% 75%
20 TARTAKOVSKY Elizabeth - - - 2% 13% 39% 45%
21 MIKA Veronica - 1% 6% 20% 36% 30% 7%
22 SZETO Chloe - 5% 23% 43% 26% 3%
23 FOUR-GARCIA Madison - 1% 7% 28% 45% 19%
24 HWANG Gabriela M. 11% 35% 36% 15% 2%
25 OLSEN Natalie J. - 3% 13% 29% 33% 18% 4%
26 FREEDMAN Janna N. - 2% 9% 27% 37% 21% 4%
27 OISHI Megumi - - 3% 15% 33% 35% 13%
28 CHAN Casey - - 2% 12% 34% 40% 12%
29 THURGOOD Madison C. 14% 35% 33% 15% 3% - -
30 HE Charlotte 1% 5% 19% 34% 30% 11% 1%
31 MARSEE Samantha - 5% 22% 38% 27% 7% -
32 LIU Rachel 4% 21% 37% 28% 9% 1%
33 LU Vivian Y. - - 2% 15% 44% 39%
34 VADASZ Ibla P. 1% 9% 27% 36% 22% 5%
35 CARVALHO Isabela A. 1% 7% 27% 42% 23%
36 GREENBAUM Atara R. - - - 4% 19% 42% 35%
37 HARRISON Imogen N. - - 2% 13% 34% 37% 13%
38 CHANG Josephine S. - 1% 9% 27% 37% 22% 4%
39 PONICH Marissa - 1% 7% 22% 35% 27% 7%
40 CALLAHAN Chase J. 1% 6% 22% 35% 27% 8% 1%
41 MARYASH Samantha 24% 41% 26% 8% 1% < 1% -
42 MILLER Sky - 1% 6% 23% 42% 29%
43 DELSOIN Chelsea C. - 3% 16% 35% 34% 12% 1%
44 POSSICK Lola P. - - 3% 13% 33% 36% 15%
45 JENKINS Ryan J. - - - 1% 8% 36% 55%
45 GOUHIN Chloe - - - 3% 16% 41% 40%
47 GORMAN Victoria M. - 2% 13% 32% 36% 15% 2%
48 LEE Alexandra B. - - 1% 7% 25% 42% 25%
49 LIN Audrey J. - 3% 15% 32% 32% 14% 2%
50 TAO Hannah J. - 3% 15% 32% 33% 15% 2%
51 TZOU Alexandra - 3% 16% 35% 35% 11%
52 DUCKETT Madison - 2% 12% 31% 37% 17%
53 ANDRES Charmaine G. 1% 6% 25% 39% 25% 5%
54 SATHYANATH Kailing 1% 11% 29% 34% 20% 5% 1%
55 SHI Cathleen 1% 7% 24% 35% 25% 7% -
55 PAUL Lila 2% 15% 32% 32% 15% 3% -
57 WILLIAMS Chloe C. - - 4% 17% 37% 34% 7%
58 BLUM Leah I. 1% 5% 18% 32% 29% 13% 2%
59 YANG Lea 27% 44% 23% 5% 1% - -
60 SINGLETON-COMFORT Leanne - - 3% 17% 40% 33% 7%
61 BUHAY Rachel T. 3% 16% 34% 31% 13% 2% -
62 CHIN Sophia J. - 3% 14% 33% 34% 15% 1%
63 XIKES Katherine E. 3% 17% 34% 31% 13% 2% -
64 PINCUS Emma Y. 4% 19% 32% 29% 13% 3% -
65 LEE Hannah - 5% 19% 34% 30% 11% 1%
65 BOIS Adele - - 4% 18% 37% 32% 9%
67 ZEGERS Anneke E. - - 3% 15% 33% 35% 13%
68 ERIKSON Kira R. 5% 25% 37% 25% 8% 1% -
68 KER Grace 1% 10% 30% 39% 18% 3% -
70 HUANG MADELINE 13% 36% 33% 14% 3% < 1% -
71 JUNG Irene 3% 18% 38% 30% 10% 1%
72 KIM Marley I. 4% 20% 35% 29% 11% 2%
73 BROWN Emma 2% 14% 33% 34% 15% 2%
74 YANG Ashley M. 1% 7% 22% 35% 27% 8% -
75 SAYLES Nina R. - 2% 12% 30% 35% 17% 3%
76 ANGLADE Alexis C. - - 1% 6% 23% 42% 28%
77 SECK Chejsa-Kaili F. - - 3% 15% 35% 36% 10%
78 STONE Hava S. 2% 13% 31% 34% 17% 3% -
79 GHAYALOD reya - 5% 19% 36% 29% 10% 1%
80 ANDRES Katherine A. - 4% 16% 32% 31% 15% 3%
81 SPRINGER Ella 6% 25% 37% 24% 7% 1% -
82 MCKEE Brynnley 6% 29% 41% 21% 4% -
83 WU Helen 12% 37% 35% 13% 2% -
84 LIU Sophie - 5% 18% 34% 31% 12% 1%
85 XIAO julie 4% 23% 37% 26% 9% 1% -
86 ENGELMAN-SANZ Madeline A. - 1% 6% 22% 37% 28% 7%
87 HONE Katarina G. 1% 10% 28% 35% 20% 5% 1%
88 ATLURI Sara V. 12% 31% 33% 18% 5% 1% -
89 DAVIS Jayna M. 16% 37% 31% 13% 3% - -
89 BALAKUMARAN Maya 2% 12% 29% 33% 18% 4% -
91 CHEN Xiaohan - 5% 21% 37% 28% 8% 1%
92 TURNER Zoe Y. - 1% 7% 23% 36% 26% 7%
93 SCALAMONI-GOLDSTEIN Charlotte S. - 3% 17% 36% 31% 11% 1%
94 CAO Stephanie X. - 1% 9% 27% 37% 22% 4%
95 WIGGERS Susan Q. 12% 35% 36% 15% 2%
96 CHAN Leanne 4% 22% 37% 27% 8% 1% -
97 BILILIES Sophia 6% 25% 36% 24% 8% 1% -
98 BEVACQUA Aria F. 4% 21% 37% 27% 9% 1% -
98 LIGH Erenei J. 3% 18% 35% 30% 12% 2% -
100 ULIBARRI Nevaeh L. 4% 20% 35% 29% 10% 1% -
101 NGUYEN Siena 12% 33% 34% 17% 4% - -
102 WEINBERG Alexandra L. - 4% 18% 38% 32% 8%
103 STAPLETON Lindsay K. 2% 13% 35% 36% 13% 1%
104 LACSON Sarah 2% 13% 32% 35% 16% 3% -
105 TONG Jessie 14% 35% 34% 14% 3% - -
106 TONG Kunling - - 2% 10% 31% 42% 15%
107 GHOSH Priyanka - 6% 22% 36% 27% 9% 1%
107 LIU Zhi Jun 10% 32% 36% 17% 4% - -
109 YODER Bridget H. 3% 15% 30% 31% 16% 4% -
110 SOURIMTO Valeria 5% 22% 36% 26% 9% 1% -
111 HOLMES Emma 13% 33% 34% 16% 4% - -
112 ALFARACHE Gabriella C. 8% 31% 38% 18% 4% - -
112 NI Sharon 2% 14% 31% 32% 16% 4% -
112 JEONG Katie 9% 33% 38% 17% 3% - -
115 BARNOVITZ Maya 7% 25% 36% 24% 8% 1% -
116 SO Catelyn 11% 34% 37% 16% 3% - -
116 COLTER Aurora 45% 39% 13% 2% - - -
118 HASSAN Aziza R. 1% 11% 32% 35% 17% 3% -
119 FEARNS Zara A. 3% 14% 29% 31% 18% 5% 1%
120 SHEARER Natalie E. 1% 9% 27% 35% 21% 6% 1%
121 MOZHAEVA MARIA 1% 8% 25% 35% 24% 8% 1%
121 CHANG Audrey 22% 41% 27% 8% 1% - -
123 CHRISTOTHOULOU Olympia C. 12% 32% 34% 17% 4% - -
124 HUNG Anna 10% 30% 35% 20% 5% 1% -
125 JOHNSON Dagny L. 17% 39% 32% 11% 1%
126 GORMLEY Arwen E. 1% 7% 24% 36% 25% 6%
127 SCHIMINOVICH Sophia I. 3% 18% 35% 30% 12% 2%
128 LEE Sophia 34% 43% 19% 3% - -
129 WEI Vivian W. 9% 36% 38% 14% 2% -
130 YANG Angelina LeLe 18% 39% 30% 11% 2% -
131 CHANG Emily 5% 25% 40% 24% 5% -
132 ALTMAN Leigh 30% 41% 22% 6% 1% -
133 TUNG Renee 44% 41% 13% 2% - -
133 NATH Trisha 12% 35% 34% 15% 3% -
135 MATAIEV Natalie S. 13% 39% 34% 12% 2% -
136 HULSEBURG Kaitlyn - 3% 19% 42% 31% 4%
137 CHEN Ashley 5% 23% 35% 26% 9% 1% -
138 DUNLAP Allison N. 27% 42% 24% 7% 1% - -
139 MAKLIN Sofia 23% 44% 25% 6% 1% - -
140 FESTA Carina 13% 35% 34% 15% 3% - -
141 NATHANSON Sammy E. 9% 29% 36% 20% 5% 1% -
142 WU Erica L. 2% 13% 32% 33% 16% 3% -
142 DHAR Aamina 15% 38% 33% 12% 2% - -
142 SCOTT Eve 49% 38% 11% 1% - - -
145 MUND Ruth 24% 42% 27% 7% 1% - -
146 SADOVA Olga 40% 41% 16% 3% - - -
146 SINHA Anika 9% 32% 36% 18% 4% - -
148 DEPEW Charlotte R. 10% 34% 37% 16% 3% - -
149 GLUCK Myriam 37% 41% 18% 4% - - -
150 ELSHAKANKIRI Janna 20% 39% 29% 10% 2% - -
151 DRAGON Rainer < 1% 5% 19% 34% 29% 11% 1%
152 KHAN Alissa 30% 43% 22% 4% - -
153 LI Amanda C. 1% 11% 33% 39% 15%
154 LU Amy 3% 15% 32% 32% 15% 3% -
154 CHEN Jessica 35% 43% 18% 3% - - -
156 ENDO Miyuki N. 1% 8% 24% 35% 25% 7% -
157 KATZ Anat 3% 18% 34% 29% 12% 3% -
158 PALEO Gabriella 6% 25% 36% 24% 8% 1% -
159 CHIANG Emily 4% 19% 34% 29% 12% 2% -
159 SENOGLU Irmak 10% 31% 36% 18% 4% - -
161 YU Zhiang 15% 38% 33% 12% 2% - -

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.