October NAC

Div I Women's Saber

Thursday, October 26, 2023 at 2:00 PM

Orange County Convention Center - Orlando, FL, 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 TARTAKOVSKY Elizabeth - - - 1% 10% 38% 51%
2 SHOMAN Jenna - - - - 5% 32% 62%
3 LINDER Kara E. - - - - 5% 28% 67%
3 KIM Zoe - - - 1% 11% 41% 47%
5 SKARBONKIEWICZ Magda - - - - 2% 20% 78%
6 FOX-GITOMER Chloe N. - - - - 2% 22% 75%
7 JOHNSON Honor - - - 5% 33% 61%
8 KONG Vera - - 1% 10% 39% 50%
9 WILLIAMS Jadeyn E. - - - 4% 19% 43% 33%
9 POSSICK Lola P. - - 1% 6% 26% 43% 24%
11 FREEDMAN Janna N. - - 3% 19% 49% 27% 3%
12 CHAMBERLAIN Maia C. - - - 1% 8% 38% 54%
13 SULLIVAN Siobhan - - - 3% 17% 41% 38%
14 BURKE Nora S. - - - - 3% 34% 63%
15 KER Grace - - 4% 20% 39% 30% 6%
16 SHEARER Natalie E. 1% 6% 21% 34% 27% 9% 1%
17 LEE Alexandra B. - - 1% 9% 34% 44% 12%
18 GREENBAUM Atara R. - - 2% 14% 45% 38%
19 HWANG Gabriela M. - 3% 17% 36% 32% 11% 1%
20 DELSOIN Chelsea C. - - 1% 9% 33% 43% 13%
20 KOVACS Sophia - - - 4% 19% 43% 34%
22 MCKEE Brynnley - 4% 17% 35% 32% 11% 1%
23 MILLER Sky - - - 1% 14% 60% 24%
24 TONG Kunling - 1% 5% 19% 38% 30% 8%
25 STRZALKOWSKI Aleksandra (Ola) M. - 1% 9% 34% 46% 11%
26 LIU Sophie - 6% 23% 38% 27% 6%
27 ANDRES Charmaine G. 1% 11% 38% 38% 12% 1%
28 WILLIAMS Chloe C. - - 2% 11% 32% 40% 15%
29 JUNG Irene - 2% 10% 29% 39% 18% 1%
29 PERRIER Eleonore - 1% 7% 24% 39% 26% 5%
31 WOZNIAK Dagmara I. - - - - 5% 35% 60%
32 OISHI Megumi - - 3% 20% 49% 28%
33 XIAO julie - 5% 23% 42% 24% 5% < 1%
34 ANGLADE Alexis C. - - - 1% 9% 35% 54%
35 LU Vivian Y. - - - 1% 9% 37% 54%
36 NAZLYMOV Tatiana F. - - - 4% 30% 51% 15%
37 LAURI Keira 18% 40% 31% 10% 1% < 1% -
38 FOUR-GARCIA Madison - 2% 12% 31% 37% 17%
39 SHEALY Maggie - - - 3% 21% 45% 31%
40 ENGELMAN-SANZ Madeline A. - - 1% 8% 32% 42% 17%
41 LIN Audrey J. - 1% 5% 21% 41% 30% 3%
42 TABANGAY Heartlyn 3% 19% 38% 29% 9% 1% -
43 YANG Ashley M. - 3% 16% 34% 32% 12% 1%
44 KIM Marley I. 1% 6% 20% 34% 29% 11% 1%
45 ANDREYEVA Darya - 1% 9% 30% 39% 18% 2%
46 JOHNSON Lydia 2% 13% 30% 33% 17% 4% -
47 GOUHIN Chloe - - - 1% 10% 38% 51%
47 TZOU Alexandra - - 2% 11% 33% 40% 14%
49 ERIKSON Kira R. 3% 17% 34% 31% 13% 2%
49 YANG Angelina LeLe 1% 11% 32% 38% 16% 2%
51 MIKA Veronica - 2% 12% 35% 40% 11%
52 SATHYANATH Kailing 1% 8% 28% 38% 21% 4%
53 HILD Nisha - - 3% 17% 38% 35% 7%
54 LU Elaine - 3% 14% 31% 33% 16% 2%
55 BOIS Adele - - 2% 13% 39% 36% 10%
56 FEIG Sela 24% 40% 26% 8% 1% - -
57 FERNANDEZ Martina 5% 22% 38% 27% 7% - -
58 DRAGON Rainer - 2% 11% 30% 37% 18% 3%
59 HUAI Delilah 1% 9% 27% 36% 21% 5% -
60 FESTA Carina 10% 33% 37% 17% 2% -
61 HARRISON Imogen N. - 1% 6% 24% 42% 27%
62 ANTHONY Alexia B. 6% 23% 35% 25% 9% 1% -
63 HE Charlotte 3% 15% 32% 31% 15% 3% -
64 YAO Rainie 22% 45% 26% 6% 1% - -
65 SHI Cathleen - 1% 9% 28% 38% 21% 3%
66 CHEN Ashley 1% 7% 22% 35% 26% 9% 1%
67 JOHNSON Dagny L. 12% 33% 34% 17% 4% -
68 ANDRES Katherine A. - 1% 8% 24% 36% 25% 5%
69 ALCEBAR Kayla 1% 6% 24% 37% 25% 7% -
70 MEDVINSKY Alexandra 29% 43% 23% 5% 1% - -
71 LIU Zhi Jun 11% 36% 35% 15% 3% -
72 BEVACQUA Aria F. 1% 9% 29% 37% 20% 4%
73 MARYASH Samantha 12% 35% 36% 15% 2% -
74 CHUNG Hailey 15% 38% 33% 12% 2% - -
75 SAYLES Nina R. - 1% 7% 25% 39% 24% 5%
75 VADASZ Ibla P. - 2% 13% 33% 35% 15% 2%
77 HAMBAZAZA Liisa 8% 29% 36% 20% 5% 1% -
78 MARTURANO Bridget H. 1% 9% 29% 37% 19% 4% -
78 PAUL Lila - 2% 11% 29% 36% 19% 2%
80 GRULICH Rayaana 13% 36% 34% 14% 2% - -
81 CHEN Xiaohan - - 4% 17% 38% 34% 7%
82 SCHIMINOVICH Sophia I. - 3% 18% 39% 34% 5% -
83 LI Amanda C. - 2% 11% 29% 38% 19% 1%
83 LU Amy 1% 11% 29% 35% 19% 4% -
85 LIGH Erenei J. 8% 29% 36% 21% 6% 1% -
85 SENOGLU Irmak 9% 30% 37% 19% 5% - -
87 LEE Sophia 1% 6% 23% 37% 25% 7% 1%
87 BUHAY Kirsten M. 24% 43% 27% 6% - - -
89 LEMUS-IAKOVIDOU ALEXANDRA 23% 40% 27% 8% 1% - -
90 WEI Vivian W. 3% 16% 34% 32% 13% 2% -
91 LIN Nicole 3% 18% 37% 32% 9% 1% -
92 RAMIREZ Mirka A. 10% 34% 39% 15% 2% - -
93 YANG Lea 19% 41% 30% 9% 1% -
94 ALFARACHE Gabriella C. 10% 33% 37% 17% 3% -
95 ZHANG XUANYI 8% 30% 38% 20% 3% -
96 DUCKETT Madison 1% 9% 35% 41% 14% 1%
96 TSUI Natalie 13% 34% 34% 16% 4% -
98 LIU Yifei 14% 38% 34% 13% 2% -
99 SHTREVENSKY Maria 1% 10% 30% 37% 19% 4% -
100 JEONG Katie 5% 23% 37% 26% 9% 1% -
101 ARNECKE Lauren A. 5% 23% 38% 27% 7% - -
101 CHRISTOTHOULOU Olympia C. 7% 28% 38% 21% 5% 1% -
101 MELNYCHUK Yelyzaveta - - 2% 11% 34% 39% 15%
104 TSE Angelina 6% 23% 35% 25% 9% 1% -
105 KHAN Alissa 9% 32% 36% 18% 4% - -
106 GUVEN Coco 25% 41% 26% 7% 1% - -
106 WU Helen 4% 21% 38% 27% 8% 1% -
108 LEE Hannah - 4% 17% 33% 31% 13% 2%
108 NATH Trisha - 5% 21% 36% 28% 9% 1%
108 SHI Julia 10% 32% 36% 18% 4% - -
111 DHAR Layla 38% 42% 17% 3% - - -
112 STAPLETON Lindsay K. 1% 8% 25% 35% 23% 7% 1%
113 CALLAHAN Chase J. - 6% 26% 41% 23% 4% -
113 BARNOVITZ Maya 4% 18% 33% 30% 13% 3% -
115 LIM Jaslene 3% 21% 41% 27% 7% 1% -
116 XU Emily T. 22% 43% 27% 6% 1% - -
117 CHIANG Melissa 21% 41% 28% 8% 1% - -
118 MUND Ruth 10% 34% 38% 16% 2% - -
119 HU Michelle 18% 37% 30% 12% 2% - -
120 LACSON Sarah 2% 14% 32% 33% 16% 3%
120 BLUM Leah I. 1% 5% 20% 35% 29% 9%
122 HUANG Rachael 41% 45% 13% 1% - -
123 VESTEL Mira B. - < 1% 5% 24% 43% 24% 4%
124 DAI Olivia 11% 34% 37% 16% 3% - -
125 DONG Angel 12% 35% 35% 15% 3% - -
125 PABIAN Emilia 9% 31% 38% 19% 3% - -
127 NGUYEN Siena 3% 20% 40% 30% 6% - -
127 SCOTT Eve 10% 33% 36% 17% 3% - -
129 HUANG MADELINE 6% 26% 37% 23% 6% 1% -
130 WANG Elysia 11% 32% 35% 17% 4% - -
131 FAVO Isabella 11% 33% 36% 17% 3% - -
132 ZHANG Chenfei 11% 35% 38% 15% 2% - -
133 WEI JoyAnn 21% 41% 28% 9% 1% - -
134 GHAYALOD reya - 2% 11% 30% 38% 18% 1%
135 KONDEV Elizabeth 6% 25% 38% 24% 7% 1% -
136 GRAJALES Hannah E. 15% 39% 32% 11% 2% - -
137 WANG Gloria Ruoyan 7% 29% 37% 21% 5% 1% -
138 DANTULURI Shalini 14% 37% 34% 12% 2% - -
139 MANN Sophia J. 39% 42% 16% 3% - -
140 SO Catelyn 10% 33% 37% 17% 3% -
140 MAKLIN Sofia 26% 50% 21% 3% - -
142 BOYNTON Ainsley 29% 44% 22% 5% - - -
143 SCHAIBLE Sofia L. 29% 45% 22% 4% - - -
143 ATTIA Jasmine 21% 44% 29% 7% 1% - -
145 GLUCK Myriam 15% 38% 33% 12% 2% - -
145 COLTER Aurora 10% 36% 36% 15% 3% - -
147 BAKER Audrey C. 11% 31% 34% 18% 5% 1% -
147 YU Zhiang 8% 27% 35% 22% 7% 1% -
149 ZHANG Sophie 20% 41% 29% 9% 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.