Junior Olympics

Cadet Women's Foil

Monday, February 20, 2023 at 8:00 AM

Denver, CO, USA

Probability density of pool victories

Reset

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 EYER Hailey M. - - - - 2% 22% 76%
2 LIU Jaelyn A. - - - - 1% 14% 85%
3 GEBALA Gabrielle Grace A. - - - - 3% 27% 70%
3 SOOD Ishani S. - - - 1% 9% 38% 52%
5 FEDELI Caterina S. - - - - 1% 16% 83%
6 SHEN Lydia - - - - 8% 42% 50%
6 LIU Joy Zhaoyi - - - - 5% 31% 63%
8 CHUSID Mikayla - - - - 1% 19% 79%
9 SENIC Adeline - - - - 3% 26% 71%
10 ZHANG Alina C. - - - - 4% 29% 66%
11 PEVZNER Victoria - - - - 2% 21% 76%
11 OUYANG Bridgette Z. - - - - 5% 32% 63%
11 CHEN Allison V. - - - - 7% 41% 52%
14 DAVIS Bonnie Z. - - - 4% 23% 49% 24%
15 LUNG Katerina - - - 1% 17% 82%
16 DOROSHKEVICH Taisiia - - - 2% 17% 54% 26%
17 SUN Ruoxi - - - 2% 15% 42% 41%
18 TAN Kaitlyn N. - - - 1% 6% 32% 61%
19 CHEN Chloe I. - - 7% 29% 43% 21%
20 LEE Lavender - - - 2% 20% 46% 31%
21 GOOR Viviene E. - - 1% 8% 30% 45% 15%
22 CALISE Ella - - 6% 27% 47% 20%
23 MI Aileen - - 3% 18% 44% 35%
24 FENG Grace - - 3% 18% 44% 33% 2%
25 FUNG Emma - - 1% 14% 41% 37% 6%
26 MANIKTALA Prisha - - 1% 13% 40% 38% 7%
27 JANG Kimberley - - - 1% 9% 39% 52%
28 CHEN Renee - - 2% 14% 36% 39% 9%
29 YANG Iris - - - 2% 12% 39% 47%
30 SUN Chien-Yu - - 5% 23% 42% 27% 3%
31 PENG Amber L. - - 2% 15% 44% 39%
32 WELBORN Calissa - 4% 20% 38% 29% 9% 1%
33 NAMGALAURI Mariam - - - 3% 20% 47% 30%
34 ZHAO Sophie L. - - - - 6% 33% 60%
35 SEO IRENE Y. - - 2% 17% 45% 35%
36 LI Sophia M. - - - 6% 28% 45% 21%
37 LI Rachel Y. - - - 1% 6% 34% 59%
38 BATRA Chaahat - - - 4% 26% 47% 23%
38 WANG Zoie Z. - - 2% 14% 39% 39% 5%
40 WANG Jasmine - 1% 11% 39% 40% 8% -
41 DAI Zizhuo (Zizi) - 2% 15% 39% 36% 9% -
42 CHO Emily (Euran) 1% 10% 35% 38% 14% 2%
43 YANG Audrey 3% 24% 41% 26% 6% -
44 NISSINOFF Alexandra - 1% 10% 33% 41% 16%
45 MU Allison - 4% 19% 37% 30% 8% 1%
46 SUN Emily - 1% 6% 23% 40% 26% 4%
47 FUNG Vera - - 1% 12% 50% 32% 5%
48 KIM Rachel - - 3% 17% 40% 34% 6%
49 HAN Crystal - - 7% 28% 43% 20% 2%
50 RANDOLPH Piper - - - 1% 14% 45% 39%
51 PEVZNER Nicole - 2% 20% 40% 29% 8% -
52 CANNON Lira J. - - 1% 13% 41% 36% 9%
52 ROY Layla - - 1% 13% 41% 39% 6%
54 BIODROWICZ Julia - 1% 11% 32% 37% 16% 2%
55 BEAVER Hannah - 1% 15% 37% 35% 11% 1%
56 NIKOLIC Alexandra - - 5% 23% 39% 27% 5%
57 DENG Melissa - 7% 28% 40% 21% 4% -
58 KO Claire 1% 10% 34% 36% 16% 3% -
59 PANT Anisha - - 1% 8% 33% 51% 7%
60 SHIM Grace J. - 1% 6% 24% 40% 25% 5%
61 HOANG Mai - - 4% 23% 44% 26% 3%
62 ORVANANOS Anice - - - 3% 18% 47% 32%
63 UNGERER Frieda - 4% 30% 41% 21% 4% -
64 SAIFEE Lamya 2% 13% 33% 34% 15% 2% -
65 WANDJI Anais - - - 2% 23% 53% 23%
66 ZHENG Julie - - 3% 15% 37% 35% 10%
67 DO Leila - - 3% 18% 46% 31% 2%
68 LUO Sandra J. - - - 4% 22% 45% 29%
69 CHOW Annabelle - - 2% 16% 40% 36% 5%
70 CHO Rebecca H. - - - 2% 16% 42% 39%
70 ZHOU Catherine - - 3% 18% 44% 33% 3%
72 ZHAO Aileen Y. - - 3% 21% 45% 28% 3%
73 WANG Chloe - 1% 15% 38% 35% 11% 1%
74 PAULUS Sloane E. - 1% 8% 34% 40% 16% 2%
75 LAI Sophia - - 9% 30% 39% 20% 2%
76 MCSHERRY Ava - - 5% 28% 44% 20% 3%
77 COOPER Piper W. - 1% 11% 33% 37% 16% 2%
77 LUH Mia P. - 16% 41% 31% 10% 1% -
79 HOBSON Ava - 10% 30% 36% 19% 4% -
80 TANG AI JIA - 1% 11% 32% 36% 16% 2%
81 SUN Chloe - - 3% 20% 45% 29% 4%
82 ZHANG Eunice - 1% 5% 22% 40% 28% 4%
83 LEVY Avery - 3% 23% 44% 26% 5% -
84 HAFEZ Tahiyah - 5% 27% 41% 22% 4% -
85 CHEW Alexis T. - - 2% 13% 35% 38% 12%
86 LAO Sophia 3% 25% 48% 21% 3% - -
87 KOSTELNY Alexis - 1% 8% 30% 42% 19%
88 STRUGAR Steliana - 5% 24% 44% 23% 4%
89 GU Emily - 2% 18% 40% 32% 8%
90 PARK Leah 3% 23% 44% 25% 5% -
91 CHARALEL Jessica 1% 12% 37% 36% 13% 1%
92 LIN Ju-An Adrianne - 3% 22% 42% 27% 5% -
93 CHANG Elizabeth - 1% 11% 35% 38% 15% 1%
94 DAVIS Logan - - 5% 27% 42% 22% 4%
95 MARKOVSKY Nina - 1% 15% 37% 34% 12% 1%
96 BEAVER Ava - 3% 20% 40% 30% 7% -
97 TRACZ Calleigh D. - 1% 21% 46% 26% 5% -
98 SHA Yi Ling - 1% 12% 35% 38% 13% 1%
98 LI Eleanor - 2% 16% 43% 32% 7% -
100 LEE Fiona E. - 1% 10% 31% 37% 18% 2%
100 YU Jane - 7% 39% 39% 13% 1% -
102 HOANG Anh 1% 22% 42% 27% 7% 1% -
102 YAN Noelle - 6% 29% 43% 19% 3% -
104 LENK Sophie - 13% 41% 36% 9% 1% -
105 LIPKOVITZ Rivka - 1% 8% 28% 40% 20% 2%
106 VO Bao-Vy - 2% 19% 40% 31% 8% -
107 YIM Rachael 2% 18% 41% 31% 8% 1% -
108 BOLES Amanda X. - 5% 27% 41% 23% 4% -
109 MARISI Gianna - 2% 19% 39% 31% 9% 1%
110 QUINN Anna 2% 15% 36% 33% 12% 2% -
111 LIN Victoria T. 1% 15% 42% 32% 9% 1% -
112 BABER Eshaal 3% 30% 47% 17% 2% - -
113 PAULUS Isabella 1% 12% 35% 36% 14% 2% -
114 MEI Sarah - - 5% 26% 46% 22%
115 LAMBERT Mahala - 3% 17% 41% 35% 3%
116 SIMONOV Dasha 1% 15% 39% 35% 10% -
117 LEE Allison 3% 22% 41% 27% 6% -
118 PENG Serena - - 4% 25% 45% 24% 1%
119 ZHANG Selena - 1% 14% 43% 33% 8% -
120 WANG Celine S. - 12% 40% 37% 9% 1% -
121 ZHENG Zoe 6% 28% 38% 22% 5% - -
122 HSU Kaylin - 1% 13% 43% 35% 7% -
123 SEAL Cameron I. - 5% 21% 37% 28% 8% 1%
124 BROWN Lola - 7% 29% 39% 20% 4% -
125 NIRGUDE Siddhi 2% 16% 42% 35% 5% - -
126 WANG Yudi - 4% 42% 41% 12% 1% -
127 NEUMAN Sophie 1% 18% 40% 31% 9% 1% -
128 LIU Grace 8% 43% 39% 10% 1% - -
129 PENG Charlotte 4% 22% 38% 27% 8% 1% -
130 CHOI Kailyn - 5% 22% 38% 27% 7% -
131 LEE emily 1% 10% 31% 38% 18% 3% -
132 JOHNSON Shelby 1% 10% 30% 37% 19% 4% -
133 VAUGHAN Norah - 8% 35% 38% 16% 2%
134 GUAN Sophie - 6% 27% 41% 22% 4%
135 NICKOLOV Nora 20% 46% 27% 6% 1% -
136 PATTERSON Natalia 9% 41% 38% 11% 1% -
137 TAYLOR-CASAMAYOR Marisol 9% 54% 30% 6% - -
138 MORALES Paulina 1% 32% 43% 20% 4% - -
139 GREENLEAF Ella 8% 29% 38% 20% 5% - -
140 WANG Sophia 8% 32% 37% 18% 4% - -
141 WONG Sophia M. - 1% 6% 23% 40% 28% 4%
142 BASSIK Eva 1% 9% 35% 38% 15% 2% -
143 DANIELYANTS Gabriela 3% 24% 47% 22% 3% - -
143 SATISH Prisha 26% 46% 23% 4% - - -
145 SHAH Suhani 2% 20% 45% 29% 3% - -
146 MCDERMOTT Catherine 12% 44% 35% 9% - - -
147 COX Sophia 13% 41% 38% 8% 1% - -
148 CHENG Isa 50% 40% 9% 1% - -
149 BAWA Sahana 2% 14% 38% 35% 11% 1%
150 LAY Apollonia 63% 31% 5% - - -
151 LOPEZ Seble 32% 46% 19% 2% - - -
151 MENG Annabel 5% 49% 36% 9% 1% - -
151 ISHANOVA Sofia 31% 49% 18% 2% - - -
154 ROHRING Anna 13% 46% 32% 8% 1% - -
155 LIU Elinda 22% 42% 27% 8% 1% - -
156 NIRGUDE Esha 44% 43% 12% 1% - - -
157 HIMMEL Alexandra 42% 49% 8% 1% - - -
157 LAYE Isabella 16% 55% 24% 4% - - -
159 BABB Cicely 17% 71% 12% 1% - - -
160 ALKADI Mai 12% 35% 36% 15% 3% - -
160 SINGH Sania 54% 38% 8% 1% - - -
162 ARMSTRONG Olivia 22% 43% 27% 7% 1% - -
163 VANMOORSEL Faye 16% 49% 30% 5% - - -
164 LANDMAN Charlotte 2% 39% 43% 14% 1% - -
165 SKOURLETOS Maria - 10% 38% 37% 13% 1% -
165 DURR Strahlia Devi 26% 44% 24% 5% - - -
167 LAWRENCE Nia 34% 52% 13% 1% - - -
168 UHRICH Reese 36% 48% 15% 1% - - -
169 MCKAY Teresa 37% 53% 10% 1% - - -
170 SHMUKLER Maria 20% 47% 26% 6% 1% - -
171 TAYLOR Gabrielle 50% 40% 9% 1% - - -
172 ROBINSON Ashley 73% 25% 2% - - - -
173 CHEN Zixian 87% 12% - - - - -
173 LEVANT Briea 1% 11% 34% 38% 14% 2% -
175 CHENG Emily 38% 42% 17% 3% - - -
175 ALVAREZ Isabella 40% 49% 11% 1% - - -
177 WISEMAN Margaret (Daisy) 17% 48% 28% 6% 1% -
178 OWENS Elise 40% 44% 15% 2% - -
179 LIU Lucy 41% 41% 15% 3% - - -
179 SAUCEDO Fernanda 28% 46% 22% 4% - - -
181 GADIYARAM Sushama 63% 32% 5% - - -
182 GOLLNICK Mira 2% 13% 33% 35% 15% 2% -
183 GOEL Riyana 19% 46% 30% 5% - - -
184 CHATTERJEE Raina 48% 45% 6% - - - -
185 MUIR Zelda 77% 21% 1% - - -
186 LIU Emily 42% 49% 8% 1% - - -
186 TAMIR Esu 20% 50% 25% 4% - - -
188 WANG Kelsey 78% 21% - - - - -
188 TURNER Alyssa 5% 29% 41% 21% 5% - -
190 LAU Elena 46% 46% 7% - - - -
190 PADDOCK Hannah 69% 27% 3% - - - -
190 DESAI Kanushi 56% 37% 6% - - - -
190 REAVILLE Susanna 97% 3% - - - - -
190 WILLEY Lor 30% 47% 19% 3% - - -
195 SMITH katherine 92% 8% - - - - -
195 BROSS Lara 53% 38% 8% 1% - - -
195 WANG hannah 90% 9% - - - - -
198 MALVESTUTO Evelyn 64% 32% 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.