January NAC

Div I Women's Saber

Saturday, January 6, 2024 at 8:00 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 CHAMBERLAIN Maia C. - - - - 4% 31% 65%
2 SHOMAN Jenna - - - 1% 7% 34% 58%
3 BURKE Nora S. - - - - 1% 14% 85%
3 NAZLYMOV Tatiana F. - - - 1% 11% 40% 48%
5 KONG Vera - - 3% 17% 41% 38%
6 SKARBONKIEWICZ Magda - - - - 3% 25% 71%
7 LEE Alexandra B. - - - 4% 19% 42% 35%
8 LU Vivian Y. - - - 1% 7% 33% 60%
9 WILLIAMS Chloe C. - - 3% 13% 33% 38% 13%
10 OISHI Megumi - - 3% 19% 45% 33%
11 MELNYCHUK Yelyzaveta - 3% 13% 33% 37% 14%
12 TARTAKOVSKY Elizabeth - - - - 3% 23% 75%
12 DELSOIN Chelsea C. - - 2% 9% 28% 40% 21%
14 TONG Kunling - - 2% 11% 34% 41% 12%
15 GREENBAUM Atara R. - - - 1% 11% 39% 49%
16 JUNG Irene 1% 7% 25% 38% 24% 5%
17 MIKA Veronica - 1% 7% 24% 39% 26% 3%
18 POSSICK Lola P. - - 1% 6% 23% 42% 28%
19 SULLIVAN Siobhan R. - - - - 3% 27% 69%
20 ERIKSON Kira R. - - 3% 16% 38% 37% 6%
21 CHIN Sophia J. - 2% 11% 30% 37% 18% 3%
22 HAMBAZAZA Liisa 17% 38% 31% 12% 2% < 1% -
23 KIM Zoe - - - 1% 12% 40% 47%
24 KRASTEV Minna - 1% 8% 27% 40% 21% 3%
25 FREEDMAN Janna N. - 1% 8% 27% 41% 23%
26 HILD Nisha - 3% 18% 41% 30% 7%
27 MOZHAEVA MARIA 1% 7% 26% 38% 23% 5%
28 PRIEUR Lauren 4% 21% 38% 28% 9% 1% -
29 SAYLES Nina R. - 1% 6% 22% 37% 27% 7%
30 LEE Hannah - 3% 14% 32% 34% 16% 3%
31 KER Grace 1% 6% 24% 38% 26% 6%
32 YUCEL Emine I. - 2% 11% 31% 38% 17%
33 FOX-GITOMER Chloe N. - - - - 3% 25% 71%
34 CALLAHAN Chase J. - 5% 20% 38% 29% 7% < 1%
35 STRZALKOWSKI Aleksandra (Ola) M. - - 3% 19% 44% 34%
36 LIU Sophie - 1% 5% 20% 36% 29% 9%
37 ANDRES Charmaine G. - 1% 8% 26% 40% 23% 2%
38 FEARNS Zara A. - 4% 17% 33% 31% 13% 2%
39 HWANG Gabriela M. - 3% 17% 36% 33% 11%
40 CHANG Josephine S. - 3% 17% 41% 31% 7%
41 YANG Lea 18% 41% 30% 9% 1% -
42 HUAI Delilah 3% 19% 36% 30% 11% 2% -
43 CHEN Xiaohan - 1% 5% 22% 40% 28% 3%
44 ENGELMAN-SANZ Madeline A. - 3% 13% 30% 33% 17% 3%
44 NGUYEN Siena 5% 23% 38% 26% 7% 1% -
46 DUCKETT Madison - 3% 14% 31% 33% 16% 3%
47 TSE Angelina 1% 8% 27% 38% 22% 4% -
47 SO Catelyn 3% 18% 35% 30% 12% 2% -
49 TSUI Natalie 2% 12% 31% 34% 17% 3% -
50 BLUM Leah I. - 3% 16% 38% 35% 8%
51 WILLIAMS Jadeyn E. - - - 2% 15% 43% 39%
52 SHEARER Natalie E. - 1% 8% 25% 39% 25% 2%
53 VADASZ Ibla P. - 3% 14% 33% 35% 14% 1%
54 GOUHIN Chloe - - 1% 8% 26% 40% 24%
55 GUZMAN Mariana M. - 2% 10% 28% 38% 20% 3%
56 VESTEL Mira B. - 1% 9% 26% 38% 23% 3%
56 LAURI Keira 18% 42% 29% 9% 1% - -
56 GAUTAM Sahana 9% 31% 36% 19% 5% - -
59 FESTA Carina 1% 7% 24% 36% 25% 7% -
60 LACSON Sarah - 2% 14% 33% 34% 15% 2%
61 WU Helen 11% 36% 35% 15% 3% -
62 ZHANG XUANYI 5% 29% 42% 20% 4% -
63 MCKEE Brynnley 1% 11% 30% 35% 18% 4% -
64 KHAN Alissa 2% 11% 30% 36% 19% 4% -
65 SHEALY Maggie - 1% 6% 24% 42% 27%
66 YANG Angelina LeLe - 2% 12% 32% 37% 16% 1%
66 DANTULURI Shalini 28% 46% 21% 4% - < 1% -
68 NATH Trisha - 3% 16% 34% 33% 12% 1%
69 ANTHONY Alexia B. 1% 5% 20% 35% 29% 10% 1%
70 FANG Victoria W. 8% 29% 36% 21% 6% 1% -
71 PAUL Lila 1% 12% 33% 37% 15% 2%
72 BROWN Emma 1% 8% 25% 37% 24% 5%
73 BOIS Adele - 1% 6% 22% 39% 27% 5%
74 LEE Sophia - 4% 18% 36% 31% 9% 1%
75 SCHAIBLE Sofia L. 16% 37% 32% 12% 2% - -
76 CHEN Ashley - 2% 12% 32% 36% 15% 2%
77 ATTIA Jasmine 20% 39% 29% 10% 2% - -
78 ANDRES Katherine A. - - 5% 19% 38% 32% 6%
79 SHI Julia 7% 26% 36% 23% 7% 1% -
80 CHIN Erika J. - - 2% 13% 35% 39% 11%
81 SHI Cathleen - 1% 9% 27% 39% 22% 2%
82 GHAYALOD reya 1% 9% 29% 37% 21% 4%
83 MILLER Sky - - 1% 9% 37% 53%
84 BUHAY Rachel T. 4% 19% 35% 29% 11% 1%
85 HU Michelle 34% 43% 19% 4% - -
86 DRAGON Rainer - 2% 10% 27% 35% 21% 5%
87 MUND Ruth 3% 17% 34% 31% 13% 2% -
88 CHRISTOTHOULOU Olympia C. 4% 21% 37% 28% 9% 1% -
89 KIM Marley I. - 5% 19% 34% 29% 11% 2%
90 WANG Elysia 1% 8% 28% 38% 21% 4% -
91 SCHIMINOVICH Sophia I. 1% 7% 24% 36% 25% 7% 1%
92 STAPLETON Lindsay K. - 3% 14% 34% 34% 13% 1%
92 ANDREYEVA Darya - 1% 8% 27% 40% 21% 2%
94 XI Shining 1% 6% 23% 37% 25% 7% 1%
95 SATHYANATH Kailing - 3% 17% 35% 32% 12% 2%
95 LU Elaine - 5% 21% 38% 28% 8% -
97 MENDIOLA RITCHIE Ingrid 2% 13% 32% 33% 16% 4% -
98 DAI Olivia 10% 33% 37% 16% 3% - -
99 HUANG MADELINE 8% 28% 37% 21% 5% - -
100 MAKLIN Sofia 3% 17% 33% 31% 14% 2% -
101 BEVACQUA Aria F. 2% 13% 31% 35% 17% 3%
102 JOHNSON Dagny L. 4% 24% 43% 23% 5% -
103 MARTURANO Bridget H. 6% 25% 37% 25% 7% 1%
104 HAMMERSTROM Aria 49% 40% 10% 1% - -
105 TONG Jessie 20% 45% 28% 6% 1% -
106 HARRISON Imogen N. - 1% 9% 33% 42% 15%
106 MARYASH Samantha 8% 34% 37% 17% 4% -
108 XIKES Katherine E. 10% 31% 36% 19% 4% -
109 LIU Zhi Jun 20% 39% 29% 10% 2% -
110 LIM Jaslene 2% 15% 35% 32% 13% 2% -
111 FOUR-GARCIA Madison - - 1% 10% 33% 46% 11%
112 GRULICH Rayaana 27% 42% 24% 6% 1% - -
113 OLSEN Natalie J. - 1% 5% 19% 36% 30% 9%
113 ALFARACHE Gabriella C. 1% 10% 28% 36% 20% 5% -
113 BARNOVITZ Maya 3% 18% 35% 30% 12% 2% -
116 BUHAY Kirsten M. 36% 42% 18% 3% - - -
117 XU Emily T. 15% 37% 33% 13% 2% - -
117 XIAO julie 1% 7% 25% 37% 23% 7% 1%
119 HE Charlotte 1% 11% 29% 35% 19% 4% -
120 COLTER Aurora 8% 31% 36% 19% 5% 1% -
121 ZHANG Chenfei 9% 30% 37% 19% 4% - -
122 ARNECKE Lauren A. 10% 31% 36% 19% 4% - -
123 YAO Rainie 10% 34% 36% 16% 3% - -
124 MANKOVA Varvara 9% 29% 35% 20% 5% 1% -
125 RAMIREZ Mirka A. 16% 41% 31% 10% 2% - -
125 LI Alexis 10% 31% 36% 18% 4% - -
127 LO Chloe 37% 42% 17% 3% - - -
128 MANN Sophia J. 19% 39% 30% 10% 2% - -
129 FEIG Sela 10% 40% 37% 11% 1% -
130 FERNANDEZ Martina 23% 42% 27% 7% 1% -
131 STONE Hava S. 2% 12% 32% 35% 16% 3%
132 LU Amy 6% 25% 37% 24% 7% 1%
133 TZOU Alexandra - 1% 8% 31% 43% 17%
134 JOHNSON Lydia 1% 6% 22% 35% 26% 8% 1%
135 GORMAN Victoria M. - 3% 13% 31% 34% 17% 3%
136 JOHNSON Honor - < 1% - 1% 6% 33% 61%
137 TUNG Renee 8% 29% 37% 21% 5% - -
138 LIU Sydney 24% 40% 26% 8% 1% - -
139 YU Holly 7% 27% 38% 22% 5% 1% -
139 XIONG Haojiao 5% 22% 36% 27% 10% 2% -
141 SENOGLU Irmak 6% 25% 36% 23% 7% 1% -
142 GUVEN Coco 21% 41% 28% 8% 1% - -
143 LEMUS-IAKOVIDOU ALEXANDRA 22% 41% 28% 8% 1% - -
144 CHAVAN Arya 26% 43% 25% 6% 1% - -
145 HENRY Soraya S. 13% 34% 34% 16% 4% - -
145 CHIANG Melissa 16% 38% 31% 12% 2% - -
147 CARLUCCI Laura A. 17% 40% 32% 11% 2% - -
148 MEDVINSKY Alexandra 29% 46% 21% 4% - - -
149 SOURIMTO Valeria 4% 21% 39% 28% 8% 1%
150 LIGH Erenei J. 12% 33% 34% 17% 4% -
151 TAN Adelyn 37% 44% 16% 2% - -
152 BARBOSA Katia 22% 40% 27% 9% 1% - -
153 GLUCK Myriam 50% 38% 10% 1% - -
153 GEYER Carolina M. 7% 26% 37% 24% 6% 1%
155 WHELAN Brynn M. 14% 37% 34% 13% 2% - -
155 BUSH Bethany 28% 43% 23% 5% 1% - -
155 WANG Gloria Ruoyan 14% 37% 34% 13% 2% - -
158 JEONG Katie 7% 28% 38% 22% 6% 1% -
158 KONDEV Elizabeth 6% 25% 37% 24% 7% 1% -
160 DEMING Clare L. 3% 18% 35% 30% 12% 2% -
161 DONG Angel 16% 38% 32% 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.