USA Fencing National Championships & July Challenge

Cadet Women's Foil

Wednesday, July 6, 2022 at 2:00 PM

Minneapolis, MN, 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 LUNG Katerina - - - - 2% 22% 76%
2 JING Emily - - - - 1% 15% 84%
3 PEVZNER Victoria - - - - 4% 28% 68%
3 TAKAMIZAWA Yukari - - - 2% 15% 44% 39%
5 ZHANG Yunjia - - - - 3% 26% 71%
6 CHUSID Mikayla - - - - 4% 29% 67%
7 CHEN Jia P. - - - 1% 10% 40% 49%
8 SHEN Lydia - - 1% 6% 32% 61%
9 LIU Jaelyn A. - - - 1% 7% 33% 59%
10 GEBALA Gabrielle Grace A. - - - 2% 11% 38% 49%
11 ZHANG Alina C. - - - 5% 22% 43% 29%
11 JANG Kimberley - - - 1% 9% 41% 48%
13 SUN Ruoxi - 1% 6% 25% 43% 25%
14 LUO Sandra J. - - - 4% 25% 59% 13%
15 OUYANG Bridgette Z. - - 1% 7% 30% 45% 17%
16 LI Sophia M. - 1% 8% 32% 40% 18% 2%
17 CHEN Allison V. - - - 1% 12% 40% 47%
18 EYER Hailey M. - - - - 6% 32% 62%
19 LEE Lavender - - 1% 7% 28% 45% 19%
20 LI Rachel Y. - - 1% 8% 35% 56%
20 LIU Joy Zhaoyi - - 3% 18% 43% 36%
22 SOOD Ishani S. - - - - 1% 23% 75%
23 TAN Kaitlyn N. - - - 1% 8% 37% 54%
24 MI Aileen - 1% 6% 25% 43% 24% 2%
25 PENG Amber L. - - 2% 12% 36% 42% 9%
26 GLASSON Sophia - - 3% 16% 36% 34% 11%
27 CHO Rebecca H. - 1% 8% 32% 45% 14%
28 COOPER Piper W. - 5% 23% 41% 26% 4%
29 DAVIS Bonnie Z. - 3% 20% 48% 29%
30 RANDOLPH Piper - - - 4% 24% 50% 21%
31 HAYES Nadia - 1% 7% 28% 41% 21% 2%
32 CALISE Ella 1% 9% 30% 39% 19% 2%
33 SENIC Adeline - - - - 5% 31% 63%
34 FEDELI Caterina S. - - 1% 9% 39% 52%
35 YANG Iris - - 2% 14% 42% 35% 7%
36 LAMBERT Mahala - - 3% 20% 44% 30% 4%
37 SHA Yi Ling - 2% 15% 38% 34% 9% 1%
38 LEE Allison 2% 12% 29% 34% 18% 4% -
39 CHOW Annabelle - 3% 17% 38% 33% 9%
40 SEO IRENE Y. - 2% 17% 47% 34%
41 AMR HOSSNY Sara - - 1% 7% 28% 47% 17%
42 PANT Anisha - - 4% 20% 42% 30% 3%
43 SONG Yuqiao Aprille - - 1% 12% 40% 39% 9%
44 SHEN Emilia - 4% 20% 40% 30% 5% -
45 ZHANG Eunice - 2% 15% 35% 34% 13% 1%
46 LIN Zhi tong - 8% 29% 37% 21% 5% -
47 ZHAO Sophie L. - - - 2% 15% 44% 39%
48 LIU Angel(Daying) - - 3% 21% 44% 29% 3%
49 TRACZ Calleigh D. 3% 20% 37% 29% 9% 1% -
50 CHEW Alexis T. - - 2% 13% 36% 41% 8%
51 SUN Emily 2% 15% 35% 33% 13% 2% -
52 FUNG Emma - 2% 13% 34% 37% 12% 1%
53 ORVANANOS Anice - 1% 10% 31% 41% 18%
54 ZHENG Julie 1% 12% 37% 37% 12% 1%
55 O'NEIL Neve 1% 8% 27% 39% 21% 4%
56 SHENG Chuxi - 1% 9% 29% 40% 19% 1%
57 ZHAO Aileen Y. - - 5% 23% 42% 26% 3%
58 GOOR Viviene E. - 1% 8% 27% 38% 22% 4%
59 DOROSHKEVICH Taisiia - 1% 5% 22% 38% 28% 6%
60 BATRA Chaahat - - 3% 19% 43% 29% 6%
61 LAI Sophia 2% 18% 40% 32% 8% 1% -
62 STRUGAR Steliana - 4% 19% 38% 30% 8% -
63 DO Leila 3% 23% 43% 25% 5% - -
64 CHEN Chloe I. - 4% 19% 40% 31% 6%
65 LIPKOVITZ Rivka 1% 8% 28% 38% 21% 4% -
65 LEE Ji Ahn - 7% 29% 41% 19% 3% -
67 ROY Layla - 1% 9% 27% 38% 22% 4%
68 RAO Sonia D. - 7% 27% 39% 22% 4% -
69 LIN Victoria T. 5% 24% 38% 25% 7% 1% -
70 FUNG Vera 3% 22% 39% 28% 8% -
71 GU Emily - 4% 21% 39% 29% 7%
72 MEI Sarah - 1% 8% 26% 39% 22% 4%
73 CHARALEL Jessica 1% 11% 34% 36% 16% 2% -
74 WONG Sophia M. - - 5% 21% 42% 29% 2%
75 WANG Jasmine 1% 13% 34% 35% 14% 2% -
76 CHEN Renee - 3% 15% 32% 33% 15% 2%
77 KIM Rachel - 2% 10% 30% 39% 17% 2%
78 NISSINOFF Alexandra - 1% 6% 24% 40% 25% 4%
79 OTEYZA Camille - 5% 25% 41% 24% 4% -
80 BIODROWICZ Julia - 4% 20% 38% 29% 8% -
81 ZHOU Catherine 7% 33% 42% 16% 2%
82 SHUM Maya 15% 38% 33% 12% 2% - -
83 HAN Crystal - 12% 34% 35% 15% 3% -
84 SHIM Grace J. - 2% 16% 42% 32% 8% -
85 ZULUETA Catherine 5% 23% 36% 26% 9% 1% -
86 DAI Zizhuo (Zizi) 2% 17% 38% 31% 11% 1% -
87 CANNON Lira J. - - 3% 16% 37% 35% 9%
88 HUBERT AVA CLAIRE 15% 42% 32% 10% 1% - -
89 SULTER Aurelie 3% 25% 42% 24% 5% - -
90 HU Felice 3% 20% 38% 29% 9% 1% -
91 LEE Fiona E. 6% 29% 39% 21% 4% -
92 CHANG Elizabeth 1% 8% 29% 39% 21% 2%
93 PAULUS Isabella 32% 44% 20% 4% - -
94 HAN Ashley 12% 44% 34% 10% 1% -
95 ZHANG Selena 9% 33% 38% 17% 3% -
96 LENZ Zoe N. 20% 42% 29% 8% 1% -
97 FOURNET-FAYARD Yaretzi 3% 20% 39% 29% 9% 1%
98 WEI Angela 6% 27% 38% 23% 6% 1% -
99 LEVY Avery - 5% 24% 42% 25% 3% -
100 PARK Leah 4% 30% 40% 21% 5% - -
101 UNGERER Frieda 7% 32% 39% 19% 4% - -
101 NEUMAN Sophie 23% 42% 27% 7% 1% - -
103 VAUGHAN Norah 2% 13% 33% 34% 15% 3% -
104 VO Bao-Vy 2% 15% 38% 33% 11% 1% -
105 MU Allison 5% 23% 38% 26% 7% 1% -
106 GOLLNICK Mira 1% 10% 35% 37% 15% 2% -
107 BEAVER Hannah 1% 12% 32% 36% 16% 3% -
108 LIN Ju-An Adrianne 1% 8% 30% 39% 19% 3% -
109 SUN Chien-Yu - 4% 16% 32% 32% 14% 1%
110 MCKAY Teresa 86% 14% 1% - - - -
111 HOBSON Ava 6% 26% 38% 23% 6% 1% -
112 EVELAND Zoe 7% 29% 40% 21% 4% - -
113 PATTERSON Natalia 14% 43% 34% 8% 1%
114 YIM Rachael 42% 43% 14% 1% -
115 BAWA Sahana 8% 32% 38% 18% 4% -
116 KO Claire 16% 41% 32% 10% 1% -
117 GUAN Sophie 3% 18% 38% 30% 10% 1%
118 NIKOLIC Alexandra 1% 13% 38% 36% 11% 1%
119 CASTANEDA Keira 3% 16% 33% 31% 14% 3% -
120 SIMONOV Dasha 1% 7% 24% 37% 24% 7% 1%
121 HWANG Alison - 2% 13% 33% 36% 15% 1%
122 MORALES Paulina 28% 42% 24% 6% 1% - -
123 LANDMAN Charlotte 26% 48% 22% 3% - - -
124 HAYES Alyssa R. 1% 17% 38% 31% 12% 2% -
125 HSIEH Sabrina 21% 49% 25% 5% - - -
126 BOLES Amanda X. 24% 43% 26% 7% 1% - -
127 PAULUS Sloane 11% 42% 36% 10% 1% - -
128 LI Eleanor 10% 36% 37% 14% 2% - -
129 BASSIK Eva 1% 22% 48% 24% 4% - -
130 GANDLURI Sreehitha (Sarah) 26% 45% 24% 5% - - -
131 NAIR Supriya 2% 16% 37% 33% 12% 1% -
132 YAN Noelle 4% 19% 37% 29% 10% 1% -
133 WANG Reese 48% 39% 11% 1% - - -
134 KUNDU TRISHA 42% 42% 14% 2% - - -
135 GUAN Sydney 21% 39% 28% 10% 2% - -
135 LUH Mia P. 3% 22% 45% 24% 5% - -
137 QUINN Anna 28% 46% 21% 4% - - -
138 REYNOLDS Lourdes 36% 43% 17% 3% - - -
138 YERRAMSETTI Hansika 64% 31% 5% - - - -
140 LIU Elinda 39% 46% 14% 1% - - -
141 ROHRING Anna 31% 44% 21% 4% - - -
142 WANG Celine S. 18% 41% 30% 10% 1% - -
143 ZHUANG Sophie 17% 40% 32% 10% 1% -
144 ZHENG Zoe 55% 37% 8% 1% - -
145 WANG Brina 3% 23% 42% 26% 6% - -
146 NIRGUDE Siddhi 56% 35% 8% 1% - -
147 HAN Katherine 39% 42% 16% 3% - -
148 MARTIRE Alessandra 4% 47% 39% 9% 1% - -
149 TAYLOR-CASAMAYOR Marisol 17% 42% 30% 9% 1% - -
149 HOOGSTRA Lucy 46% 42% 10% 1% - - -
151 PARK Jacqueline 37% 42% 17% 3% - - -
152 BUDKO Julia 53% 38% 9% 1% - - -
153 GADIYARAM Sushama 89% 11% 1% - - - -
153 TAN Isabella 73% 24% 3% - - - -

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.