Junior Olympics & Div 1 NAC

Div I Women's Saber

Friday, February 14, 2025 at 8:00 AM

Charlotte Convention Center - Charlotte, NC, 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 SKARBONKIEWICZ Magda - - - - 2% 24% 75%
2 KOVACS Sophia - - - 1% 8% 37% 54%
3 CHAMBERLAIN Maia C. - - - - 1% 19% 80%
3 LIU Sophie - - - 3% 18% 43% 35%
5 LEE Alexandra B. - - - 5% 31% 63%
6 HWANG Gabriela M. - - 2% 13% 34% 40% 10%
7 SULLIVAN Siobhan R. - - - 1% 7% 37% 55%
8 FERNANDEZ Martina - 2% 14% 33% 35% 15% 2%
9 FEIG Sela - 1% 8% 25% 37% 24% 4%
10 FREEDMAN Janna N. - - - 3% 16% 42% 39%
11 MIKA Veronica - - 3% 15% 36% 35% 11%
12 HILD Nisha - - 4% 18% 38% 31% 8%
13 YANG Angelina LeLe - - 3% 17% 37% 34% 8%
14 TSUI Natalie - - 2% 11% 29% 38% 19%
15 SHI Cathleen - 1% 7% 23% 38% 27% 4%
16 JOHNSON Lydia - 5% 17% 32% 30% 14% 2%
17 SHEALY Maggie - - - - 4% 27% 69%
17 ANTHONY Alexia B. - - 4% 15% 32% 35% 14%
19 ANDRES Charmaine G. - - - 2% 13% 41% 44%
20 LEE Hannah - - 1% 8% 27% 43% 21%
21 SCHMIDT Isabel 2% 10% 25% 32% 22% 8% 1%
22 LAURI Keira 1% 5% 20% 35% 29% 10% 1%
23 GREENBAUM Atara R. - - - 1% 9% 37% 53%
24 BEVACQUA Aria F. - 1% 5% 20% 37% 30% 8%
25 JUNG Irene - 1% 6% 18% 33% 31% 11%
26 LU Elaine - 1% 8% 29% 42% 20%
27 FEARNS Zara A. - - 2% 13% 33% 38% 13%
28 CHIARELLI Valentina - 2% 13% 32% 35% 15% 2%
29 KIM Marley I. - 2% 12% 33% 38% 15%
30 WU Helen - 2% 11% 26% 33% 22% 6%
31 CHAN Jolene 7% 27% 36% 22% 7% 1% -
32 KOLMYKOVA Aleksandra 1% 9% 28% 38% 21% 3% -
33 FESTA Carina - - 4% 17% 36% 33% 9%
34 LU Vivian Y. - - - - 3% 24% 73%
35 TSE Angelina - 3% 15% 32% 34% 14% < 1%
36 BOIS Adele - - 4% 21% 47% 28%
37 PAUL Lila - - 1% 8% 26% 40% 24%
38 SAYLES Nina R. - - 1% 6% 23% 42% 28%
39 XIONG Haojiao 1% 7% 22% 34% 26% 9% 1%
40 HUAI Delilah - 1% 6% 20% 35% 30% 10%
41 OISHI Megumi - - - 2% 11% 37% 51%
42 BOYNTON Ainsley - 3% 16% 35% 33% 12% 1%
43 SHEARER Natalie E. - - 4% 16% 34% 34% 11%
44 POSSICK Lola P. - - - - 6% 31% 63%
45 NATH Trisha - - 3% 19% 47% 31%
46 LIU Yifei - 4% 22% 40% 27% 6%
47 ANDRES Katherine A. - - 1% 5% 22% 43% 29%
48 DRAGON Rainer - - 1% 8% 32% 45% 14%
49 JOHNSON Dagny L. - 1% 6% 25% 40% 25% 3%
50 ZENG Sarah 2% 14% 33% 33% 15% 3% -
51 TABANGAY Heartlyn 1% 7% 25% 39% 24% 4% -
52 WANG yining 1% 11% 33% 37% 15% 2% -
53 MEDVINSKY Alexandra 12% 35% 35% 15% 3% - -
54 BARROSO Isabela 4% 19% 35% 29% 11% 2% -
55 ELBAKRY jana - 1% 8% 25% 39% 24% 3%
56 YANG Lea 1% 6% 26% 43% 21% 3%
57 MCKEE Brynnley - 1% 9% 30% 41% 19%
58 KRASTEV Minna - - 3% 15% 36% 36% 10%
59 FAVO Isabella 4% 18% 33% 29% 13% 2% -
60 NATHANSON Sammy E. - 3% 16% 36% 33% 11% 1%
61 PANTALEON-MAZOLA Amari 2% 10% 27% 34% 21% 6% -
62 WEI JoyAnn 5% 23% 37% 26% 8% 1% -
63 FUNG Iris 25% 45% 25% 5% - -
64 SCOTT Eve 4% 21% 37% 28% 9% 1% -
65 WILLIAMS Jadeyn E. - - - - 5% 31% 63%
66 ZHANG XUANYI - 1% 5% 21% 38% 28% 7%
67 SCHIMINOVICH Sophia I. - - 3% 13% 32% 37% 15%
68 STAPLETON Lindsay K. - 1% 10% 30% 40% 19%
69 CORTEYN Jolien - - - - 5% 30% 64%
70 ZEGERS Anneke E. - - 1% 5% 23% 43% 28%
71 DHAR Rana 10% 32% 35% 18% 4% - -
72 XIAO julie - 1% 9% 27% 39% 21% 3%
73 LIN Elaine 5% 22% 35% 27% 10% 2% -
74 ZOLLER Noelle 12% 32% 34% 17% 5% 1% -
75 LIU Hannah 9% 29% 35% 20% 5% 1% -
76 MACKAY Katherine 4% 21% 37% 28% 9% 1% -
77 KU Alathea-Joy 16% 36% 31% 13% 3% - -
78 KHAN Alissa 4% 19% 33% 28% 12% 3% -
78 LI Alexis 4% 20% 35% 28% 11% 2% -
80 MALEK Zolie 1% 7% 24% 37% 25% 7% 1%
81 JEONG Katie - 2% 10% 25% 35% 23% 6%
82 WILSON Eva 16% 42% 33% 8% 1% -
83 LIU Sydney 2% 14% 36% 34% 13% 2%
84 DANTULURI Shalini 4% 22% 39% 27% 8% 1%
85 VADASZ Ibla P. - 2% 13% 41% 37% 7%
86 SO Catelyn - 3% 17% 35% 32% 11% 1%
86 SAYSON Andrea 8% 29% 36% 21% 5% 1% -
88 MANN Sophia J. 1% 6% 20% 33% 28% 11% 2%
89 DAMBAL Sasha 7% 26% 35% 23% 8% 1% -
90 FAN Alexandria 8% 28% 37% 22% 5% - -
91 ZHANG Sophie 14% 35% 33% 15% 3% - -
92 GOLDIN Nina 1% 9% 25% 34% 23% 7% 1%
93 ATTIA Jasmine 1% 9% 25% 34% 23% 7% 1%
94 SHMULER Fiona 25% 41% 25% 7% 1% - -
94 YU Holly 1% 8% 23% 35% 25% 8% 1%
96 WANG Gloria Ruoyan 3% 15% 31% 31% 16% 4% -
97 VINOGOROVA Sofiia 2% 10% 25% 32% 22% 8% 1%
98 MARYASH Samantha 2% 12% 27% 32% 20% 7% 1%
99 DANG Kelia 2% 11% 28% 34% 20% 5% -
100 GAUTAM Sahana 1% 6% 23% 38% 27% 5% -
101 CALLAHAN Chase J. - 2% 12% 34% 38% 14% 1%
102 SANZ Madeline A. - - 1% 6% 29% 55% 9%
103 HU Anna 1% 8% 23% 34% 25% 9% 1%
104 MAKLIN Sofia 6% 23% 36% 26% 9% 1% -
105 GUGALA Hanna 3% 14% 30% 32% 17% 4% -
106 LIN Nicole - 4% 20% 38% 30% 8%
107 KIM Satie 21% 43% 28% 7% 1% -
108 GENTILE Vittoria 28% 43% 23% 5% 1% -
109 WONG Natalie 21% 40% 29% 10% 1% - -
110 XU Emily T. 6% 23% 35% 25% 9% 2% -
111 CHIANG Melissa 7% 27% 37% 23% 6% 1% -
112 YUCEL Emine I. - - 1% 8% 26% 42% 23%
113 NG Sophia 45% 42% 12% 1% - - -
114 SPEARS Mya B 9% 28% 35% 21% 7% 1% -
115 NAYAK Antara 34% 43% 19% 4% - - -
116 CHAVAN Arya 8% 28% 35% 21% 7% 1% -
116 LUKER Sophia 1% 7% 25% 37% 24% 6% -
118 WANG Jiayi 19% 41% 29% 9% 1% - -
119 NAYAK Esha 11% 32% 34% 18% 5% 1% -
119 AWAD Royce 9% 30% 37% 19% 5% 1% -
121 OCA Merci 17% 37% 31% 12% 2% - -
122 MUND Ruth 1% 10% 28% 36% 20% 4% -
123 KONDEV Elizabeth 1% 11% 33% 37% 16% 2% -
124 NGUYEN Siena 2% 13% 31% 34% 17% 3% -
125 MERCHANT Aishwarya 5% 22% 35% 26% 9% 1% -
126 LIGH Erenei J. - 2% 12% 30% 36% 17% 2%
127 MILLER Sky - - < 1% 4% 26% 58% 12%
128 DONG Angel 3% 18% 35% 31% 12% 2% -
129 DHAR Layla 7% 25% 36% 24% 7% 1% -
130 PABIAN Emilia 4% 21% 37% 28% 9% 1% -
131 LEOU Korina 2% 14% 31% 33% 17% 3% -
132 CARTER Keely 4% 22% 37% 27% 9% 1% -
133 CONG Anne 15% 37% 33% 13% 2% - -
134 LIM Jaslene - 2% 11% 29% 37% 19% 2%
135 WANG Callie 7% 26% 36% 23% 7% 1% -
136 HU Michelle 3% 18% 34% 30% 13% 2% -
137 NIU Jessica 24% 44% 26% 6% - -
138 ZHENG Valentina 25% 46% 23% 5% - -
138 KINKADE Ellie 15% 40% 35% 10% 1% -
140 WALLER London 15% 39% 33% 12% 2% -
141 GHAYALOD reya - 2% 16% 44% 33% 5%
142 SCHAIBLE Sofia L. 2% 13% 31% 33% 17% 3% -
143 DAI Olivia 10% 33% 36% 17% 3% - -
144 TAN Adelyn 3% 16% 30% 30% 16% 4% -
145 HENRY Soraya S. 4% 20% 36% 29% 10% 1% -
146 LITTLE Avery 6% 23% 34% 25% 9% 2% -
147 GOLOVITSER Maya 9% 28% 35% 21% 6% 1% -
148 CHRISTOTHOULOU Olympia C. 4% 21% 37% 27% 9% 1% -
148 YAM Danika 3% 20% 39% 28% 9% 1% -
150 LIU kai yin aria 10% 33% 36% 17% 4% - -
151 CASTELO Soleil 23% 41% 27% 8% 1% - -
151 YAO Rainie 3% 15% 32% 32% 15% 3% -
151 WONG Charlene 50% 39% 10% 1% - - -
154 ALFARACHE Gabriella C. - 2% 12% 30% 35% 17% 3%
154 HAMMERSTROM Aria 3% 17% 33% 31% 14% 3% -
156 XIE Nora 11% 30% 33% 19% 6% 1% -
157 BROCK Sydney 5% 23% 37% 27% 8% 1% -
158 ERIKSON Kira R. - 1% 6% 21% 35% 28% 8%
158 BUHAY Kirsten M. 15% 36% 32% 14% 3% - -
158 LUKER Hannah 19% 39% 30% 11% 2% - -
161 HUANG Rachael 2% 11% 28% 34% 20% 5% -
162 PAPAPETROPOULOU ALEXANDRA 1% 10% 28% 35% 20% 5% -
163 BARNOVITZ Maya 1% 10% 27% 35% 21% 5% -
164 CHI Claire 10% 30% 34% 19% 5% 1% -
165 DIECK Miranda P. 11% 32% 35% 18% 4% - -
165 DUDNICK Morgan 14% 42% 33% 10% 1% - -
167 LEI Zitong (Meya) 7% 32% 38% 18% 4% - -
168 CHEN Elaine 32% 42% 21% 5% - - -
169 YUEN Nicole 13% 34% 33% 16% 4% - -
170 RAMIREZ Mirka A. 10% 30% 34% 19% 5% 1% -
170 GAIKWAD Ashmiee 18% 37% 30% 12% 2% - -
172 ELLIS-FURLONG Ava 23% 42% 26% 7% 1% - -
173 DAVIS Jayna M. 5% 22% 34% 26% 10% 2% -
174 LIN Annika 31% 46% 20% 3% - -
175 HALPERIN Elizabeth H. 10% 33% 36% 17% 4% - -
176 BERNARD Kathryn 9% 33% 40% 16% 2% -
177 HSU Leah 7% 25% 36% 24% 7% 1% -
178 COLTER Aurora 2% 14% 30% 32% 17% 4% -

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.