October NAC

Div I Women's Saber

Friday, October 4, 2024 at 8:00 AM

Atlantic City Convention Center - Atlantic City, NJ, 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 DELSOIN Chelsea C. - - 1% 5% 21% 43% 30%
2 LU Vivian Y. - - - - 6% 35% 58%
3 SULLIVAN Siobhan R. - - - - 4% 29% 66%
3 FESTA Carina - 1% 7% 23% 36% 26% 7%
5 LEE Alexandra B. - - - 1% 6% 35% 58%
6 KOVACS Sophia - - 1% 8% 38% 53%
7 MELNYCHUK Yelyzaveta - - 1% 8% 35% 56%
8 SAYLES Nina R. - 2% 12% 35% 40% 10%
9 CORTEYN Jolien - 1% 7% 29% 49% 13%
10 SHEALY Maggie - - - 1% 9% 37% 53%
11 JOHNSON Honor - - - 1% 7% 33% 60%
12 PANTALEON-MAZOLA Amari 2% 14% 32% 32% 15% 3% -
13 ANDRES Charmaine G. - - 3% 15% 41% 42%
14 HWANG Gabriela M. - 1% 5% 20% 38% 30% 5%
15 THURGOOD Madison C. 4% 17% 31% 29% 15% 4% -
16 LIU Sydney 3% 17% 35% 31% 12% 1%
17 ERIKSON Kira R. - 1% 8% 22% 34% 26% 8%
18 FREEDMAN Janna N. - - - 4% 18% 44% 34%
19 CALLAHAN Chase J. - 2% 13% 31% 35% 16% 1%
20 MCKEE Brynnley - 3% 14% 30% 32% 17% 3%
21 SHOMAN Jenna - - - - 3% 24% 73%
22 BOYNTON Ainsley - 4% 16% 31% 31% 15% 3%
23 WILLIAMS Jadeyn E. - - - 8% 39% 53%
24 HILD Nisha - - 2% 13% 39% 45%
25 JUNG Irene - - 2% 10% 29% 40% 19%
26 HUAI Delilah - 2% 13% 33% 36% 14% 1%
27 CHEN Xiaohan - - 2% 12% 32% 38% 14%
28 LEE Hannah - - 2% 9% 28% 40% 21%
29 GAUTAM Sahana - 4% 21% 40% 30% 5%
30 SHI Cathleen 3% 19% 36% 30% 10% 1%
31 BILILIES Sophia 6% 27% 39% 23% 5% -
32 FEARNS Zara A. - - 3% 17% 39% 35% 6%
33 ZHANG XUANYI - - 3% 15% 34% 35% 12%
34 POSSICK Lola P. - - - 1% 10% 40% 48%
35 GOUHIN Chloe - - - 1% 7% 33% 59%
36 SHEARER Natalie E. - - 2% 10% 28% 39% 21%
37 KRASTEV Minna - - 1% 8% 26% 40% 25%
38 WU Helen - 1% 5% 19% 35% 31% 10%
39 LIU Zhi Jun 1% 8% 24% 35% 24% 7% -
40 DANTULURI Shalini 6% 24% 37% 25% 8% 1% -
41 LIU Sophie - 1% 5% 18% 33% 31% 12%
42 SHTREVENSKY Maria - 3% 14% 32% 35% 15% 2%
43 WEI JoyAnn 7% 28% 38% 21% 5% -
44 FERNANDEZ Martina 9% 31% 38% 18% 3% -
45 ANDRES Katherine A. - 1% 10% 33% 43% 12%
46 NATH Trisha - - 1% 9% 27% 41% 21%
47 WANG Elysia - 3% 15% 35% 35% 11% 1%
48 XIAO julie - - 2% 13% 34% 39% 11%
49 PAUL Lila - - 2% 11% 33% 43% 12%
50 DHAR Layla 3% 17% 34% 31% 13% 2% -
51 KER Grace - 1% 8% 23% 34% 25% 7%
52 YANG Lea 2% 13% 33% 35% 15% 2% -
53 TSUI Natalie - 1% 7% 24% 38% 26% 4%
54 TSE Angelina - 1% 10% 31% 38% 17% 2%
55 BLUM Leah I. - - 2% 13% 36% 40% 9%
56 CHIARELLI Valentina 3% 15% 31% 31% 16% 4% -
57 JOHNSON Dagny L. 1% 5% 20% 35% 28% 10% 1%
58 LIN Audrey J. - - 5% 33% 47% 14%
59 BEVACQUA Aria F. - - 1% 8% 26% 41% 24%
60 CHEN Ashley - 1% 9% 28% 41% 19% 2%
61 GOLDIN Nina 2% 15% 32% 32% 15% 3% -
62 MANN Sophia J. 1% 8% 24% 35% 24% 7% 1%
63 SO Catelyn - 4% 17% 34% 31% 12% 1%
64 CARTER Keely 3% 16% 32% 31% 15% 4% -
65 YANG Angelina LeLe - 3% 17% 37% 33% 10%
66 SANZ Madeline A. - - - 2% 13% 40% 45%
67 DRAGON Rainer - 1% 6% 19% 34% 30% 10%
68 SCHMIDT Isabel 6% 24% 37% 25% 8% 1% -
69 MAKLIN Sofia 8% 33% 38% 17% 3% -
70 BROWN Emma - - 1% 7% 26% 44% 21%
71 STRZALKOWSKI Aleksandra (Ola) M. - - - - 5% 30% 64%
72 CHANG Josephine S. - - 1% 7% 29% 47% 17%
73 ATTIA Jasmine 1% 8% 24% 34% 24% 8% 1%
74 BARROSO Isabela 18% 41% 30% 9% 1% - -
75 LI Amanda C. - 2% 10% 28% 37% 20% 3%
76 ALFARACHE Gabriella C. 3% 16% 33% 32% 14% 2% -
77 BENOIT Adelaide L. 2% 15% 32% 32% 16% 3% -
78 SATHYANATH Kailing - 2% 12% 27% 33% 20% 5%
79 CHAVAN Arya 3% 16% 32% 31% 14% 3% -
80 HSU Leah 7% 26% 36% 23% 7% 1% -
81 YUCEL Emine I. - 1% 6% 24% 43% 26%
82 FEIG Sela 1% 8% 26% 37% 23% 4%
83 WANG Gloria Ruoyan 6% 25% 37% 25% 7% 1%
84 XIKES Katherine E. 1% 11% 31% 36% 18% 3%
85 VESTEL Mira B. - 1% 13% 45% 34% 6%
86 TONG Jessie 1% 8% 29% 40% 20% 3%
87 YU Holly 11% 33% 37% 16% 3% -
88 LIU Yifei - 3% 15% 36% 33% 12% 1%
89 OISHI Megumi - - - 1% 8% 34% 57%
90 GAY Sasha 8% 29% 36% 20% 6% 1% -
91 KANG Ellie 8% 28% 36% 21% 6% 1% -
92 JOHNSON Lydia 1% 6% 22% 35% 27% 8% 1%
93 WANG yining 3% 16% 35% 32% 12% 2% -
94 PRIEUR Lauren - 2% 12% 29% 34% 19% 4%
95 LU Elaine 1% 6% 19% 31% 28% 13% 2%
96 DANG Kelia 5% 23% 36% 26% 9% 1% -
96 VENTURA Eva - 1% 6% 21% 38% 29% 5%
98 LAURI Keira 2% 12% 30% 35% 18% 4% -
98 PAPAPETROPOULOU ALEXANDRA - 6% 23% 39% 27% 5% -
100 DUDNICK Morgan 27% 40% 24% 7% 1% - -
101 LEOU Korina 13% 34% 34% 16% 4% - -
102 LITTLE Avery 2% 12% 29% 33% 19% 5% -
103 LEE Sophia - 2% 11% 27% 34% 21% 5%
103 LIM Jaslene - 2% 11% 29% 36% 19% 4%
105 CHANG Emily 1% 9% 24% 32% 24% 9% 1%
106 FAVO Isabella 2% 11% 27% 34% 21% 6% 1%
107 GHAYALOD reya - 1% 8% 25% 37% 24% 3%
108 LI Jiaying 3% 17% 34% 30% 13% 3% -
109 KIM Marley I. 1% 6% 19% 31% 28% 13% 2%
110 LEE Alyson 16% 37% 32% 12% 2% - -
110 TENG EMMA 10% 29% 34% 20% 6% 1% -
112 MANKOVA Varvara 2% 12% 33% 35% 15% 2% -
113 RAMIREZ Mirka A. 4% 22% 37% 27% 9% 1% -
114 HUANG MADELINE 4% 19% 34% 28% 12% 3% -
115 ZENG Sarah 20% 41% 30% 9% 1% -
116 MILLER Sky - - 1% 8% 36% 56%
117 KONDEV Elizabeth 10% 34% 37% 16% 3% -
118 SCHIMINOVICH Sophia I. 4% 21% 38% 29% 8% 1%
119 VADASZ Ibla P. 1% 6% 23% 38% 27% 6%
120 BALAKUMARAN Maya 4% 22% 39% 28% 7% -
121 KINKADE Ellie 18% 44% 32% 6% - -
122 TABANGAY Heartlyn 6% 21% 33% 26% 11% 3% -
123 CROOKS Riley 10% 30% 35% 20% 6% 1% -
124 SCOTT Eve 2% 15% 33% 33% 15% 3% -
124 HU Anna 6% 23% 36% 25% 8% 1% -
126 SAYSON Andrea 14% 35% 33% 15% 3% - -
127 LIN Nicole 1% 10% 27% 35% 22% 6% -
128 GOLOVITSER Maya 12% 34% 35% 16% 3% - -
129 LIU kai yin aria 43% 40% 14% 2% - - -
130 ZHANG Chenfei 3% 17% 34% 31% 13% 2% -
131 DAMBAL Sasha 5% 26% 39% 23% 5% -
132 XIONG Haojiao 4% 23% 39% 27% 6% -
133 CHEN Elaine 27% 47% 24% 3% - -
133 HUANG Doris 18% 38% 30% 11% 2% -
135 LU Amy 3% 17% 36% 33% 11% 1%
136 CHRISTOTHOULOU Olympia C. 5% 26% 40% 23% 5% -
137 OU Yixuan 38% 42% 17% 3% - -
138 DAVIS Jayna M. 4% 19% 33% 29% 13% 3% -
139 COLTER Aurora - 5% 19% 34% 29% 12% 2%
140 CHUNG Hailey 7% 25% 35% 24% 8% 2% -
141 JEONG Katie 1% 9% 25% 33% 23% 8% 1%
142 ZOLLER Noelle 10% 32% 36% 18% 4% - -
143 MACKAY Katherine 12% 34% 34% 16% 3% - -
143 BARBOSA Katia 20% 41% 29% 9% 1% - -
145 YAM Danika 4% 20% 35% 29% 11% 1% -
145 LIU Hannah 10% 30% 34% 19% 5% 1% -
147 DAI Olivia 23% 40% 27% 9% 1% - -
148 MARYASH Samantha 1% 9% 27% 36% 22% 5% -
149 NI Sharon - 6% 22% 36% 27% 8% -
149 TA-ZHOU Emma 18% 37% 30% 12% 2% - -
151 HUANG Rachael 2% 12% 33% 35% 16% 3% -
152 NATHANSON Sammy E. 1% 10% 26% 33% 22% 7% 1%
153 GUVEN Coco 8% 30% 38% 20% 4% - -
154 MERCHANT Aishwarya 18% 38% 30% 12% 2% - -
154 LEI Zitong (Meya) 8% 30% 39% 19% 4% - -
156 VINOGOROVA Sofiia 2% 11% 30% 35% 19% 4% -
157 ANTHONY Alexia B. - 1% 9% 27% 38% 22% 3%
157 XU Emily T. 5% 22% 36% 27% 9% 1% -
159 OCA Merci 38% 41% 17% 4% - - -
160 MUND Ruth 1% 7% 21% 33% 26% 10% 1%
161 WHELAN Brynn M. 5% 24% 37% 25% 8% 1% -
162 ZHENG Valentina 18% 41% 31% 9% 1% - -
163 BERMAN greta 26% 43% 25% 6% 1% -
164 WU Yuwei 18% 44% 32% 6% - -
165 BUHAY Kirsten M. 7% 31% 39% 19% 4% -
166 GUGALA Hanna 30% 42% 22% 5% 1% -
167 LO Chloe 35% 42% 19% 4% - -
168 LARGAESPADA Fatima - 1% 7% 25% 41% 26%
169 AWAD Royce 42% 42% 14% 2% - -
170 SHI Julia 3% 19% 37% 30% 10% 1%
171 HAMMERSTROM Aria 10% 31% 35% 19% 5% 1% -
172 KOLMYKOVA Aleksandra - 4% 14% 29% 32% 17% 4%
173 HASSAN Aziza R. - 4% 18% 34% 31% 11% 1%
174 CASTELO Soleil 30% 42% 22% 5% 1% - -
174 KHAN Alissa 1% 8% 24% 33% 24% 8% 1%
176 DEPEW Charlotte R. 4% 17% 31% 29% 15% 4% -
176 VINOKUR Anita 13% 36% 34% 14% 3% - -
178 HENRY Soraya S. 7% 26% 36% 23% 7% 1% -
179 SEHIC Cassandra - 3% 12% 27% 33% 20% 5%
180 DIECK Miranda P. 21% 41% 28% 8% 1% - -
181 LIU Kelly 21% 39% 28% 10% 2% - -
182 MEDVINSKY Alexandra 2% 13% 31% 33% 16% 4% -
183 GENTILE Vittoria 26% 43% 24% 6% 1% - -
184 MCSWEENEY Kylie 16% 38% 32% 12% 2% - -
185 BUSH Bethany 7% 25% 35% 24% 8% 1% -
186 HALPERIN Elizabeth H. 10% 30% 35% 20% 6% 1% -
187 SPEARS Mya B 5% 22% 38% 27% 8% 1% -
188 ZHANG Sophie 16% 37% 32% 13% 2% - -
189 JOHNSON Lauren < 1% 3% 16% 37% 34% 10%
190 BERNARD Kathryn 18% 38% 31% 11% 2% - -
191 LI Sonia 22% 40% 27% 9% 1% - -
192 PABIAN Emilia 6% 24% 37% 25% 7% 1%
193 MALEK Zolie 1% 11% 29% 35% 20% 5% -
194 DEMING Clare L. 3% 18% 35% 30% 12% 2% -
194 GRULICH Rayaana 20% 38% 29% 11% 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.