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December NAC

Junior Women's Foil

Monday, December 12, 2022 at 8:00 AM

Salt Lake City, UT, 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 HAYES Nadia - - 3% 15% 38% 35% 9%
2 RANDOLPH Piper - - 7% 27% 40% 22% 4%
3 JING Emily - - - - 6% 36% 57%
3 KIM Katherine - 1% 12% 42% 45%
5 CAO Arianna L. - - 2% 14% 43% 41%
6 CHUSID Mikayla - - - 3% 17% 43% 37%
7 KIM Rachael - - - 1% 12% 42% 45%
8 PEVZNER Victoria - - - 2% 20% 51% 27%
9 FEDELI Caterina S. - - - 2% 13% 45% 41%
10 LIU Jaelyn A. - - - 2% 15% 42% 40%
11 FREEDMAN Miranda W. - - - 7% 42% 50%
12 LEE Alina - - - - 4% 28% 68%
13 HE Elizabeth W. - - - - 2% 30% 68%
14 SABATINI Isabella Ravenne - - 1% 10% 38% 40% 11%
15 DE LA CRUZ Eden - - 5% 24% 46% 23% 3%
16 CASTANEDA Erika L. - - 1% 5% 23% 48% 24%
17 GRIFFIN Emma G. - - - 1% 15% 46% 39%
18 ZHANG Alina C. - - 1% 6% 25% 43% 26%
19 PARK Rowan M. - - - 4% 21% 44% 31%
20 KONG Chin-Yi - - - 2% 15% 42% 40%
20 KOENIG Charlotte R. - - - 2% 13% 43% 42%
22 EYER Hailey M. - - - 1% 14% 45% 40%
23 LUNG Katerina - - - - 5% 34% 61%
24 XUE Alanna L. - - 1% 7% 31% 44% 17%
25 CHO Cameron S. - - 2% 14% 34% 36% 13%
26 HO Brianna W. - - - 4% 23% 46% 27%
27 HUNG Juliana K. - 1% 7% 29% 45% 18%
28 SOOD Ishani S. - - - 2% 19% 59% 19%
29 CHEN Jessie S. - - 2% 13% 34% 37% 12%
30 LOCKE Savannah - - 2% 19% 53% 26%
31 YU Lauren C. - 2% 14% 37% 38% 9%
32 GALAVOTTI Claire Teresa - - 1% 8% 34% 46% 12%
33 ZHENG Ivy - - - - 4% 28% 68%
34 TAN Kaitlyn N. - - 1% 9% 28% 41% 21%
35 SHEN Sophia H. - - - 2% 12% 40% 46%
36 GEBALA Gabrielle Grace A. - - 1% 9% 38% 52%
37 WANG Zoie Z. - 5% 23% 41% 28% 3% < 1%
38 SHEN Lydia - - - 4% 24% 48% 23%
39 WANG Ellen - - - - 6% 33% 61%
40 LEE Ji Ahn 1% 7% 30% 42% 18% 2% -
41 SEIGEL Norah - 3% 18% 37% 30% 10% 1%
42 CHEN Jia P. - - - 2% 13% 42% 44%
43 KNIGHT Skylar - - - 4% 21% 45% 29%
44 MI Aileen - 1% 10% 31% 39% 17% 2%
45 BATRA Chaahat - - 4% 20% 41% 30% 5%
46 CHEW Alexis T. - 1% 9% 29% 39% 20% 2%
47 SENIC Adeline - - 3% 17% 44% 37%
48 WONG Sophia M. 1% 11% 33% 35% 16% 3% -
49 NEWHARD Zelia "Zizi" - - 4% 19% 40% 31% 6%
49 DRAGNE Alexis D. - 5% 28% 42% 21% 3% -
51 VIANNA Gabriella - 1% 11% 33% 38% 15% 2%
52 MILLER Naomi E. - - 1% 11% 39% 39% 10%
53 SUN Ruoxi - 1% 8% 29% 39% 20% 3%
54 DAI Zizhuo (Zizi) 2% 21% 43% 27% 6% 1% -
55 CHOW Annabelle - 9% 36% 37% 15% 2% -
56 LI Rachel Y. - - 2% 13% 35% 38% 12%
57 NAMGALAURI Mariam - 1% 6% 23% 40% 27% 3%
58 DAVIES Ellie - 7% 30% 41% 18% 3% -
59 NIKOLIC Alexandra 1% 7% 26% 38% 23% 5% -
60 ZHOU Catherine 4% 21% 37% 28% 8% 1% -
61 HE Fenghuan - - 1% 10% 31% 41% 17%
62 DUAN Konnie - 1% 8% 27% 38% 22% 4%
63 LEE Lavender - - 4% 18% 40% 33% 5%
64 CHEN Renee 3% 44% 41% 12% 1%
65 LESLIE Ryanne T. - - - 1% 12% 40% 46%
66 YANG Iris - 6% 33% 46% 15%
67 FUNG Emma 1% 6% 23% 36% 26% 8% 1%
68 DOROSHKEVICH Taisiia - - 4% 20% 41% 29% 4%
69 DAVIS Bonnie Z. - 4% 20% 37% 29% 9% 1%
70 CALISE Ella 1% 11% 34% 38% 15% 2%
71 NISSINOFF Alexandra - 14% 39% 34% 11% 1%
72 GU Maggie Runlin 1% 22% 42% 28% 7% 1%
73 ORVANANOS Anice - - 4% 22% 45% 24% 4%
74 JANG Kimberley - - 1% 9% 29% 42% 19%
75 CHEN Allison V. - - 1% 8% 33% 45% 13%
76 SUN Emily 4% 24% 39% 25% 7% 1% -
77 MEI Sarah - 4% 18% 35% 31% 10% 1%
78 LIPKOVITZ Rivka 1% 11% 39% 41% 8% 1% -
79 GU Emily 1% 8% 26% 37% 23% 5% -
80 LIN Ju-An Adrianne 3% 27% 48% 20% 2% -
81 LEUNG Mei Hang (Danise) - 5% 28% 49% 16% 1%
82 OLIVEIRA Lavinia M. 17% 43% 31% 9% 1% -
83 LIN Zhi tong - 12% 37% 36% 13% 2% -
84 CHO Rebecca H. - - 3% 14% 35% 37% 11%
85 CHIN Sia - 2% 12% 30% 35% 18% 3%
86 FUNG Vera 1% 6% 23% 36% 26% 7% 1%
87 BIODROWICZ Julia - 5% 27% 45% 19% 3% -
87 LAI Sophia 6% 24% 37% 25% 7% 1% -
89 MICHAELSEN Emily - 2% 13% 33% 35% 15% 2%
90 KHOO Lauren A. - 1% 5% 19% 37% 31% 7%
91 LIU Joy Zhaoyi - - 3% 19% 39% 31% 7%
92 MORADI Raiyan N. 3% 15% 33% 32% 14% 2% -
92 WEBB Ella 2% 14% 32% 33% 15% 3% -
92 YANICELLI Sloane 3% 22% 46% 25% 4% - -
95 SEO IRENE Y. - 1% 9% 29% 38% 20% 3%
95 CHARALEL Jessica 10% 31% 37% 18% 4% - -
97 YURKOVA Mariia 10% 31% 35% 19% 5% 1% -
98 CHEN Chloe I. - 5% 26% 40% 23% 5% -
99 MARKOVSKY Nina 1% 12% 35% 37% 14% 1% -
100 SONG Yuqiao Aprille - 4% 17% 34% 32% 12% 1%
101 PENG Amber L. - 1% 8% 30% 43% 17% 2%
102 LEE emily 31% 43% 21% 4% - - -
103 LUO Sandra J. - 17% 46% 31% 6%
104 LI Eleanor 18% 55% 23% 4% - - -
105 SHA Yi Ling 3% 24% 40% 25% 7% 1% -
106 WHELAN Amelia 3% 18% 38% 31% 10% 1%
107 ZHENG Julie - 13% 37% 36% 13% 1%
108 WANDJI Anais 1% 10% 33% 39% 16% 2%
109 KOSTELNY Alexis - 3% 20% 39% 29% 8% 1%
110 HAYES Alyssa R. 1% 11% 32% 39% 15% 2% -
111 VO Bao-Vy 1% 14% 37% 35% 12% 1% -
112 YANG Audrey 1% 17% 42% 32% 8% - -
113 KIM Rachel 1% 11% 36% 35% 14% 3% -
114 CHANG Elizabeth 4% 21% 37% 28% 9% 1% -
115 GOOR Viviene E. - - 4% 21% 44% 26% 4%
116 BOLES Amanda X. 7% 32% 38% 19% 4% - -
117 MI Anning 1% 9% 35% 38% 15% 2% -
118 MU Allison 7% 29% 39% 21% 4% - -
118 KAPOOR Saanvi 46% 44% 9% 1% - - -
120 LAMBERT Mahala - 3% 16% 35% 33% 12% 2%
121 MANIKTALA Prisha 1% 9% 37% 37% 15% 2% -
122 LEE Yumin - - 3% 20% 46% 26% 4%
123 PALMER Meredith K. - 2% 15% 37% 34% 12% 1%
124 BEAVER Hannah 3% 21% 42% 27% 6% - -
124 BASSIK Eva 12% 46% 33% 9% 1% - -
126 KOROL Neta - 1% 10% 32% 42% 16%
127 SHIM Grace J. 1% 11% 31% 37% 17% 3% -
128 WANG Alison 3% 25% 41% 25% 6% - -
129 WELBORN Calissa 12% 33% 35% 17% 4% - -
130 LEE Allison 1% 11% 36% 35% 15% 3% -
131 RICHARD Dominique 13% 37% 36% 13% 2% - -
132 TRACZ Calleigh D. 5% 45% 37% 11% 2% - -
133 YU Jane 49% 39% 11% 1% - - -
134 CHATEL Margot 10% 31% 36% 18% 5% 1% -
135 WANG Chloe 9% 32% 36% 18% 4% - -
136 WANG Yudi 10% 43% 36% 10% 1% - -
137 PAULUS Sloane E. 35% 44% 18% 3% - -
138 LEVY Avery 9% 46% 37% 8% - -
139 WANG Jasmine 13% 39% 35% 12% 1% -
140 KO Claire 10% 32% 36% 18% 4% - -
141 YIN Helen 1% 8% 28% 38% 20% 4% -
142 RASO Olivia 2% 35% 42% 18% 3% - -
143 AGUENAOU Aida 12% 33% 34% 17% 4% - -
144 PAULUS Isabella 23% 46% 25% 5% - - -
145 SHUM Elizabeth 11% 40% 35% 13% 2% - -
146 WANG Celine S. 17% 41% 32% 9% 1% - -
146 VAUGHAN Norah 8% 29% 37% 21% 5% - -
148 CHAKRAPANI Ila 63% 32% 5% - - - -
148 SUN Ning Lu (Sophia) 5% 46% 37% 11% 1% - -
150 HOBSON Ava 16% 38% 32% 12% 2% - -
150 ZAMELIS Madelyn 33% 47% 17% 2% - - -
152 NIRGUDE Siddhi 57% 35% 8% 1% - - -
153 LI Yuhe 8% 28% 36% 21% 6% 1% -
154 BAIXAULI Carme 6% 36% 40% 15% 2% - -
155 GANDLURI Sreehitha 17% 41% 32% 9% 1% - -
156 TOBIN Brean 16% 38% 32% 12% 2% - -
156 DANIELYANTS Gabriela 62% 33% 4% - - - -
158 ZHANG Selena 9% 31% 36% 19% 4% - -
159 SOLOMIE Sabina 91% 9% - - -
160 CHOI Kailyn 10% 34% 37% 16% 3% - -
160 SA Milla 63% 32% 5% - - - -
160 PHILLIPS Hattie 27% 51% 19% 3% - - -
163 UPTON Elizabeth 3% 20% 40% 28% 7% -
164 HAFEZ Tahiyah 38% 43% 16% 3% - -
165 ROLOFF Katarina M. 31% 43% 21% 5% 1% - -
165 GOEL Riyana 69% 27% 3% - - - -
165 MCKAY Teresa 91% 9% - - - - -
168 GIRARD Emma 67% 29% 4% - - -
169 TAYLOR Gabrielle 93% 7% - - - -
170 TAYLOR-CASAMAYOR Marisol 35% 46% 17% 2% - - -
171 ZHANG Rongrui 3% 19% 38% 29% 9% 1% -
171 FONG Ellis 78% 20% 2% - - - -
171 CHENG Isa 86% 14% 1% - - - -
174 PATTERSON Natalia 51% 38% 9% 1% - - -
175 MARTIRE Alessandra 30% 48% 19% 2% - - -
176 HWANG Chanel 72% 25% 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.