USA Fencing National Championships & July Challenge

Y-12 Women's Épée

Saturday, July 9, 2022 at 1:00 PM

Minneapolis, MN, 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 LEE REGINA - - - 1% 9% 36% 53%
2 SMUK Alexandra S. - - - 2% 12% 38% 48%
3 WATTANAKIT Anda - - - 1% 10% 39% 50%
3 TOLSMA Chloe (CJ) - - - - 5% 29% 66%
5 CAFASSO Natalya - - - 3% 17% 44% 36%
6 SHIV Avni - - - 1% 8% 35% 55%
7 BEAVER Ava - - 1% 15% 46% 38%
8 WANG Jessie - 3% 15% 33% 35% 14%
9 KOZLOWSKI Maya M. - - - - 4% 27% 69%
10 LEE Claire - - 2% 11% 29% 38% 20%
10 WANG Ziqi - - - 2% 12% 38% 48%
12 DEPOMMIER Isabelle - 3% 15% 33% 35% 14%
13 KUMAR Eva - 1% 6% 25% 43% 25%
14 MISHIMA Audrey - 1% 7% 23% 36% 26% 7%
15 PROFIS Liora - - 1% 7% 24% 41% 27%
16 MENDOZA zoie 2% 16% 36% 32% 12% 2%
17 WANG Victoria - 4% 18% 35% 32% 11%
18 PHUKAN Indra - - 2% 11% 30% 38% 18%
19 STERR Isabella M. - - 1% 7% 28% 44% 19%
20 BEATIE Isabella M. 1% 6% 21% 35% 27% 9% 1%
21 GUO Luxi - 1% 6% 20% 35% 29% 9%
22 CARRIER Meredith - 1% 7% 24% 39% 25% 4%
23 YILMAZ Pinar - - 3% 16% 43% 38%
24 LEE Camilla - 7% 36% 39% 16% 2%
25 WANG Ziqiao 5% 20% 34% 27% 11% 2% -
26 LISCUM Vivian - 3% 13% 29% 33% 18% 4%
27 MONOVA Lilyana - 4% 16% 33% 32% 14% 2%
28 NIX Reagan - - 2% 11% 29% 38% 19%
29 QIU Emily - 1% 9% 28% 41% 21%
30 BALAKRISHNAN Trisha 3% 16% 34% 32% 13% 2%
31 LEE Lavender 1% 9% 27% 36% 22% 5%
32 KWON Genevie 5% 25% 38% 25% 7% 1%
33 NOVOJILOV Anastasia - 3% 13% 31% 35% 16% 2%
34 KUDRYAVTSEVA Margarita - - 4% 16% 34% 34% 12%
35 PEI Claire 1% 7% 23% 34% 25% 9% 1%
36 RICHARDSON Meredith - 4% 21% 41% 28% 6%
37 FERREIRA DE MELO Adriana - 2% 13% 33% 37% 14%
38 CAMAMA Tessa - 1% 7% 24% 38% 26% 5%
39 SCHMITT Harper - - 4% 17% 39% 35% 5%
40 LIN Laura 6% 27% 38% 22% 6% 1% -
41 PAN Angela - 3% 16% 35% 34% 11% 1%
42 NGUYEN Ella 7% 30% 38% 20% 5% - -
43 SHEN Yongen - 1% 8% 25% 37% 24% 4%
44 KALGAONKAR Arohi 2% 11% 29% 34% 19% 5% -
45 HABEK Sophia - 2% 12% 35% 38% 13%
46 BI Michelle 31% 44% 21% 4% - -
47 MARTINEZ Christina 20% 50% 25% 4% - -
48 ABUELFUTUH Sama 1% 11% 32% 36% 17% 3%
49 READ Lyla 2% 13% 31% 32% 17% 4% -
50 FRANGER Macy 1% 7% 26% 37% 23% 6% -
51 LIN Ariel - 2% 12% 29% 34% 19% 4%
52 MEYER Rebecca 3% 17% 32% 30% 14% 3% -
53 CUEVA Viola 3% 17% 33% 30% 13% 2% -
54 MOLLINIER Anais - 2% 11% 30% 38% 18% 2%
54 ZHUANG Lauren 2% 19% 38% 29% 10% 1% -
56 WRIGHT Madison 3% 18% 34% 30% 12% 2% -
57 IYER Ishana - 4% 16% 33% 33% 14% 1%
58 GUAN Isabella - 2% 14% 37% 36% 11%
59 PILSON Rebecca - 3% 16% 37% 34% 9%
60 HEMPHILL Joey - 4% 17% 35% 33% 11%
61 KANE Chloe 9% 34% 38% 16% 3% -
62 WONG Caitlin 1% 8% 24% 34% 24% 8% 1%
63 FLITMAN Gabrielle 8% 27% 35% 22% 7% 1% -
64 WANG Sophie Y. 3% 17% 33% 31% 13% 2% -
65 YU Eva 10% 30% 35% 19% 5% 1% -
66 WU Jessica 3% 17% 34% 31% 13% 2%
67 VALDEZ Emma 3% 23% 41% 26% 7% 1%
68 LY Hannah 20% 39% 29% 10% 2% -
69 SUICO Kyubi Emmanuelle 5% 25% 36% 24% 8% 1% -
70 LEE Gloria - 2% 9% 26% 35% 22% 5%
71 MCQUEEN Morgan 2% 14% 31% 32% 16% 4% -
72 PRESMAN Aerin - - 3% 14% 35% 38% 10%
73 JIANG Xinchen 6% 28% 39% 21% 5% 1% -
74 NEELAM Navya - 2% 12% 32% 37% 15% 2%
75 BOWLING Lillian - 3% 15% 35% 34% 12% 1%
76 QI Julieanne 1% 10% 26% 34% 21% 6% 1%
77 WORKNEH Lulit 1% 8% 26% 37% 22% 5% -
78 HANKINS Morgan - - 4% 26% 47% 22%
79 LEE Valerie 7% 34% 39% 17% 3% -
80 WANG Zoe 10% 30% 34% 19% 5% 1% -
81 TISMENSKY Abigail 7% 26% 36% 23% 7% 1% -
82 TISMENSKY Avital 16% 37% 31% 13% 3% - -
83 KROPP Anne 4% 20% 35% 28% 11% 2% -
83 WANG Emma 2% 11% 29% 34% 19% 5% -
85 WHITELAW Shyann - 1% 10% 29% 38% 20% 3%
86 ELTERMAN Kate 10% 31% 36% 19% 4% - -
87 WANG Sijia 18% 39% 31% 11% 2% - -
88 BOROTKO Katerina - 3% 13% 30% 33% 17% 3%
89 BURICEA Ada 1% 7% 22% 34% 26% 10% 1%
90 LEE Emma 13% 33% 34% 16% 4% - -
91 GARINEY tanvi 12% 32% 34% 17% 5% 1% -
92 CHERNIS Liah 3% 21% 39% 27% 8% 1% -
93 HALE Reagan 19% 41% 30% 9% 1% - -
94 JORDAN Zoe 2% 14% 30% 32% 17% 4% -
95 ZHU Riley 2% 13% 38% 39% 8% -
96 WANG Sara 6% 23% 36% 25% 9% 1%
97 HALE Avery 48% 39% 12% 2% - -
98 XU Jessica 2% 14% 32% 33% 16% 3%
99 COX Allison 7% 26% 37% 23% 7% 1%
100 WONG Sydney 31% 41% 22% 6% 1% - -
101 WANG Cecilia 4% 21% 35% 28% 10% 2% -
102 HOY Emmarose 1% 7% 25% 39% 24% 5% -
103 HU Chloe 39% 42% 16% 3% - - -
104 WANG Aria 1% 9% 26% 34% 22% 7% 1%
105 MYRAH Vivienne - 1% 10% 29% 38% 20% 2%
106 BLANCO Ariia - 2% 12% 29% 35% 19% 3%
107 ZHAO Yanning 4% 19% 34% 29% 12% 2% -
108 PATTERSON Liliya 22% 40% 27% 9% 1% - -
109 ZHONG Isabell 45% 43% 11% 1% - -
110 CHEN Alina 15% 37% 32% 13% 3% - -
110 LIANG Angela 11% 32% 35% 17% 4% - -
110 KIM Yeryung 12% 33% 34% 17% 4% - -
110 JAQUISH Zoey 10% 32% 36% 18% 4% - -
114 ZHANG Jane 41% 40% 16% 3% - - -
114 TALANDZEVICIUS Sophia 10% 30% 35% 19% 6% 1% -
116 PARK elli 59% 33% 7% 1% - - -
117 JONES Veronica C. 53% 37% 9% 1% - -
117 DAVIS Violet 12% 37% 36% 13% 2% -
119 SIMHADRI Sanjana 20% 41% 29% 8% 1% - -
120 STERN Savannah 35% 41% 19% 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.