October NAC

Y-14 Women's Foil

Friday, October 7, 2022 at 1:00 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 LIU Joy Zhaoyi - - - 1% 10% 37% 51%
2 TAN Kaitlyn N. - - - - 3% 26% 71%
3 FEDELI Caterina S. - - - - 1% 13% 87%
3 WANG Zoie Z. - - 1% 11% 38% 46% 4%
5 DOROSHKEVICH Taisiia - - - 4% 18% 42% 36%
6 SEO IRENE Y. - - - 7% 29% 45% 19%
7 GEBALA Gabrielle Grace A. - - - - 1% 14% 85%
8 YAO Ada - 6% 22% 36% 27% 8% 1%
9 CALISE Ella - - 1% 9% 30% 42% 18%
10 VO Bao-Vy - 1% 8% 33% 39% 17% 3%
11 LIN Zhi tong - - 1% 12% 37% 39% 11%
12 GOOR Viviene E. - - - 3% 17% 41% 38%
13 CHEN Chloe I. - - 5% 19% 37% 31% 8%
14 MU Allison 1% 10% 28% 34% 20% 5% -
15 KIM Rachel - - 3% 21% 42% 28% 6%
16 MANIKTALA Prisha - - 3% 16% 38% 35% 8%
17 YANG Iris - - - 1% 13% 42% 44%
18 LEE Lavender - - - 1% 10% 38% 50%
19 CHO Rebecca H. - - 1% 10% 37% 51%
20 LI Sophia M. - 1% 10% 33% 40% 16%
21 PEVZNER Nicole 1% 14% 35% 34% 14% 2% -
22 CHO Emily (Euran) 2% 31% 42% 21% 4% < 1% -
23 PAULUS Sloane 1% 10% 29% 36% 20% 4% -
24 CHEN Renee - 4% 21% 40% 28% 6%
25 LIU Jaelyn A. - - - - 4% 29% 66%
26 GU Maggie Runlin - 1% 7% 26% 41% 23% 2%
27 BIODROWICZ Julia - - 6% 24% 39% 25% 4%
28 REN Kayley - 2% 15% 36% 36% 11% -
29 MI Aileen - - 5% 23% 44% 28%
30 LEUNG Mei Hang (Danise) - - 1% 9% 29% 41% 21%
31 TSIMIKLIS aphrodite 8% 31% 38% 18% 4% - -
32 SUN Emily 4% 20% 36% 29% 10% 1%
33 SONG Yuqiao Aprille - - 1% 6% 26% 45% 22%
34 ZHANG Selena 2% 13% 31% 33% 17% 4% -
35 LIU Angel(Daying) - - 2% 11% 30% 39% 19%
36 ORVANANOS Anice - - - 4% 20% 45% 31%
37 ZHANG Eunice - - 3% 18% 41% 31% 7%
38 CASTANEDA Keira - 3% 13% 31% 34% 16% 3%
39 YANG Emma - 6% 23% 37% 26% 7% -
40 MCSHERRY Ava - 2% 11% 30% 38% 19% 1%
41 SHA Yi Ling - 1% 11% 31% 37% 18% 2%
42 NISSINOFF Alexandra - 1% 5% 18% 34% 32% 10%
43 BOLES Amanda X. - 6% 27% 40% 23% 5% -
44 HAN Ashley 2% 11% 27% 34% 20% 6% 1%
45 WANG Jasmine - 2% 14% 34% 35% 14% 1%
46 DAI Zizhuo (Zizi) - 5% 26% 39% 24% 6% -
47 YANG Audrey - 8% 30% 39% 20% 4% -
48 SHEN Emilia 5% 21% 36% 28% 10% 1%
49 YAN Noelle 1% 9% 32% 38% 17% 3% -
50 HSU Kaylin - 3% 16% 35% 34% 12% -
51 SUN Chloe - - 6% 24% 41% 25% 3%
52 LI Eleanor 8% 30% 39% 19% 4% - -
53 HAN Crystal - 2% 13% 35% 36% 13% 1%
54 BEAVER Ava - 4% 22% 43% 25% 6% -
55 ZHENG Julie - - 3% 17% 39% 35% 6%
56 HU Felice - 2% 14% 34% 35% 14% 2%
57 BURBERRY Livia 4% 24% 41% 25% 6% -
58 FENG Grace 4% 21% 36% 28% 10% 1%
59 FETECAU Ilinca - 9% 31% 38% 19% 3% -
60 OH Ceana 3% 19% 37% 29% 11% 2% -
61 CHANG Elizabeth - 1% 7% 24% 37% 25% 6%
61 SHIM Grace J. - 2% 11% 29% 36% 19% 3%
63 PENG Serena 3% 15% 33% 33% 15% 2%
64 LIU Enjia sherry - 2% 14% 35% 35% 13% 2%
65 SAIFEE Lamya 16% 37% 32% 13% 2% -
66 WANG SIQI - 3% 15% 35% 33% 12% 1%
67 CHOW Annabelle - - - 4% 20% 44% 32%
68 LAI Sophia - 4% 18% 37% 30% 10% 1%
69 KO Claire 1% 8% 25% 35% 23% 7% 1%
70 SWANSON Alexa 1% 8% 28% 37% 21% 5% -
71 ZHANG Soleil C. - 3% 19% 38% 30% 9% 1%
72 WANG Sophia 2% 30% 47% 18% 3% - -
73 TANG Melody Fujiao 8% 31% 38% 18% 4% - -
74 ZHANG Ivy 38% 42% 17% 3% - - -
75 PENG Charlotte 1% 11% 32% 37% 17% 2% -
76 YU Jane 11% 44% 34% 10% 1% - -
77 LENK Sophie 6% 32% 39% 19% 4% - -
78 LUO Miranda 6% 26% 37% 24% 7% 1% -
79 GAO Anne 3% 23% 44% 25% 5% - -
80 VANMOORSEL Faye 29% 44% 22% 5% - - -
81 ZHENG Zoe 10% 34% 35% 17% 4% - -
82 DONG Angela 42% 42% 14% 2% - -
83 TUAN Sophie 34% 43% 19% 4% - - -
84 ZELDIN Nadia 28% 43% 23% 5% 1% - -
85 GOEL Riyana 65% 31% 4% - - - -
86 DESAI Esha 10% 44% 36% 9% 1% - -
87 JIANG Chloe 24% 43% 26% 7% 1% - -
88 WYNN Kylie 3% 18% 37% 31% 10% 1% -
89 SMITH Taylor 12% 31% 33% 18% 6% 1% -
90 ZHANG Alina 17% 41% 31% 9% 1% - -
91 BULLARD Sydney 7% 44% 40% 9% 1% - -
92 HAFEZ Tahiyah 1% 11% 29% 35% 19% 5% -
93 LUH Mia P. 11% 38% 36% 13% 2% -
94 DESERANNO Seren 12% 37% 35% 13% 2% - -
95 CROMWELL Keira 9% 33% 37% 17% 4% - -
95 BERGEL Daphne 12% 49% 30% 7% 1% - -
97 SOLOMIE Sabina 24% 45% 25% 6% 1% - -
98 CHOI Sophie 88% 12% 1% - - - -
98 PU claire 29% 42% 23% 6% 1% - -
100 SHUSTA Lily 59% 34% 7% 1% - - -
101 MADSEN Lindsey 62% 32% 5% - - - -
102 WANG hannah 77% 21% 1% - - - -
103 KANG Marian 62% 33% 5% - - - -

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.