March SJCC

Junior Women's Épée

Friday, March 15, 2024 at 8:00 AM

Walter E Washington Convention Center - Washington D.C, DC, 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 JAKEL Sophia N. - - - - 1% 16% 83%
2 YANG Alisa - - - 3% 18% 42% 37%
3 KORFONTA Jolie - - - - 4% 29% 66%
3 SHU Youshan - - 4% 18% 41% 34% 3%
5 MUELLER Emma M. - - 1% 12% 40% 46%
6 HAFEEZ Hania - - - 3% 16% 40% 41%
7 WANG Zoe - - 2% 9% 26% 40% 24%
8 LI Fei - - 1% 8% 28% 43% 20%
9 LEE Scarlett - - 1% 6% 22% 41% 30%
10 YOU Emily - 1% 9% 28% 41% 22%
11 YOUNG VIVIAN - - 1% 9% 28% 40% 21%
12 DESAI Meera P. - - 1% 5% 23% 43% 29%
13 XIONG Angelica - - 3% 17% 38% 35% 6%
14 PRESMAN Aerin 1% 6% 21% 37% 28% 7%
15 QI Julieanne - 5% 19% 36% 30% 9% 1%
16 GANSER Nicole 6% 24% 34% 25% 9% 2% -
17 JIN Zhengtian 2% 14% 32% 32% 15% 3% < 1%
18 SONG Angela - - 2% 14% 34% 37% 13%
19 PINNAMANENI Drithi - 2% 11% 27% 34% 20% 4%
20 AI Amy - - 5% 22% 44% 28%
21 GUO Luxi - 2% 11% 33% 39% 15%
22 KUMAR Eva - 4% 19% 39% 30% 7%
23 FURMAN Maria - - 4% 20% 39% 30% 7%
24 WANG Victoria 1% 6% 24% 41% 25% 4%
25 XU Serena 2% 15% 37% 34% 12% 1%
26 ZHU Serene M. - 3% 15% 34% 35% 13%
27 LAI Amanda 4% 19% 36% 29% 10% 1%
28 CAMPBELL Eva - 2% 10% 27% 36% 21% 4%
29 KUMAR Anusha - 5% 17% 32% 30% 13% 2%
30 ZHANG Caroline - 3% 15% 33% 33% 14% 2%
31 WU Michelle 2% 12% 30% 34% 18% 4% -
32 CHIRASHNYA Mika 6% 25% 36% 24% 8% 1% -
33 BUSH emma - - - 4% 20% 44% 32%
34 SEREGIN Katya 2% 13% 32% 35% 16% 3%
35 WANG Angelina 1% 12% 35% 36% 14% 2%
36 TANG Elaine 16% 37% 32% 13% 2% -
37 CHUNG Penelope 2% 16% 33% 31% 14% 3% -
38 SUN Zeyu - 3% 13% 30% 34% 17% 3%
39 DALEY Keira 2% 12% 28% 33% 20% 5% 1%
40 BARTOSZUK Camilla 4% 19% 35% 29% 11% 2% -
41 ILYAS Ayah 5% 20% 34% 28% 12% 2% -
42 HICKS Grace - - 3% 15% 34% 35% 13%
43 NOVOJILOV Anastasia - 3% 15% 32% 33% 15% 2%
44 ZANGA Kaitlyn - 1% 7% 25% 38% 24% 5%
44 CHANG Chloe 4% 19% 36% 30% 11% 1% -
46 NELSON Grace E. 11% 35% 37% 15% 3% -
47 PATIL Amulya - 3% 16% 38% 35% 9%
48 PULLEN Ayah - 5% 20% 34% 29% 11% 1%
49 BASRALIAN Azniv - 4% 18% 35% 30% 11% 1%
50 JAKEL Alysa C. - 3% 14% 33% 34% 14% 2%
51 CHI Chelsea - 1% 6% 23% 42% 29%
52 COLELLA Lauren 6% 27% 40% 22% 5% -
53 KAUR Manroop 12% 34% 35% 16% 3% -
54 GARIKIPATI Thansi 1% 8% 24% 35% 24% 7% 1%
55 CHANG Celine A. - 4% 16% 31% 31% 15% 2%
56 VENKATESAN Harshitha 13% 34% 34% 15% 3% - -
57 NIX Reagan - 2% 13% 33% 37% 14% 1%
57 WEI Sherry 7% 27% 37% 23% 6% 1% -
59 BO GENESIS 21% 40% 28% 9% 1% - -
60 WITTER Catherine A. - 1% 6% 26% 44% 22%
61 ABUELFUTUH Sama 2% 13% 32% 34% 16% 3%
62 READ Lyla 20% 40% 29% 9% 1% -
63 LIN Victoria T. 4% 20% 34% 28% 12% 2% -
64 SUICO Kyubi Emmanuelle 4% 23% 38% 26% 8% 1% -
65 LI Yixin Catherine 9% 30% 36% 19% 5% - -
66 BLANCO Ariia 6% 25% 37% 24% 7% 1% -
67 TAM Connie 9% 34% 38% 16% 3% - -
68 WOOLF Fredrika 48% 39% 11% 1% - - -
69 LI Caroline 21% 39% 28% 10% 2% - -
70 SU Evelyn 3% 16% 34% 32% 14% 2%
71 BARDIN Kira 24% 43% 26% 6% 1% -
72 LY Hannah 18% 41% 30% 9% 1% -
73 BI Michelle 39% 43% 15% 2% - -
74 FLITMAN Gabrielle 10% 35% 37% 15% 3% - -
75 HAFEEZ Hiba - 2% 11% 27% 35% 21% 5%
76 SHEFFIELD Skye 5% 27% 38% 23% 6% 1% -
77 GAN Shelby 33% 44% 20% 4% - - -
78 FANG Jocelyn 11% 33% 35% 17% 4% - -
79 MURPHY Katherine 4% 20% 35% 28% 11% 2% -
80 MISHIMA Audrey 1% 10% 28% 36% 20% 4% -
81 BARG Daniella - < 1% 5% 24% 44% 27%
82 CHUANG Ramona 13% 37% 35% 13% 2% -
83 CHEN Alicia 14% 40% 33% 11% 2% -
84 PILSON Rebecca 4% 21% 36% 28% 11% 2% -
85 HE Lizbeth 19% 39% 30% 11% 2% - -
86 TANG Ellen 13% 35% 34% 15% 3% - -
87 GAVASHELI Margarita 13% 34% 34% 16% 4% - -
88 FAKTOR Emily 9% 29% 36% 21% 6% 1% -
89 GUAN Isabella 15% 37% 33% 13% 2% -
90 RICHARDS Axelle 23% 43% 27% 7% 1% -
91 PEELER Julia < 1% 2% 13% 34% 34% 14% 2%
92 PENHOET Evelyn 12% 32% 33% 17% 5% 1% -
93 LEEB Zoe 43% 40% 14% 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.