USA Fencing National Championships & July Challenge

Y-10 Women's Foil

Sunday, July 7, 2019 at 1:00 PM

Columbus, OH - Columbus, OH, 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 TAN Kaitlyn N. - - 1% 5% 19% 41% 35%
2 SEO IRENE Y. - - 1% 6% 24% 44% 26%
3 GEBALA Gabrielle Grace A. - - - - 2% 21% 76%
3 FEDELI Caterina S. - - - 1% 10% 40% 49%
5 CHO Rebecca H. - - 1% 9% 33% 46% 12%
6 ORVANANOS Anice - - - 4% 18% 41% 37%
7 CHANG Elizabeth - - - 2% 15% 41% 41%
8 WANG Zoie Z. - - 2% 13% 33% 38% 14%
9 LIU Jaelyn A. - - - 2% 14% 43% 41%
10 DOROSHKEVICH Taisiia - 1% 9% 30% 41% 19%
11 LIU Zhaoyi - 3% 15% 33% 34% 14%
12 ZHENG Julie - - 1% 8% 29% 44% 18%
13 LEE Lavender - - 1% 8% 27% 41% 23%
14 AYUPOVA AMELIYA - 4% 15% 30% 32% 16% 3%
15 KAPUSTINA Arina 3% 17% 33% 31% 14% 2%
16 NAIR Supriya 1% 6% 20% 34% 28% 11% 1%
17 CASTANEDA Keira - - 3% 16% 42% 39%
18 HAN Crystal - - 2% 10% 30% 40% 18%
19 LIU Angel(Daying) - - 1% 8% 32% 43% 17%
20 TUCKER ALARCON Frida - 1% 9% 26% 36% 23% 5%
21 HERGAN Anastasia K. - - 1% 7% 26% 43% 22%
22 WANG Jasmine - 5% 22% 39% 28% 6%
23 SHMAY Anastasia - - 1% 11% 37% 38% 12%
24 LI Sophia M. - 3% 15% 30% 32% 16% 3%
24 HAN Ashley 2% 15% 32% 32% 15% 4% -
26 VO Bao-Vy 1% 7% 22% 34% 26% 10% 1%
27 BIODROWICZ Julia - 7% 28% 37% 22% 5% -
28 STRUGAR Steliana 6% 23% 36% 26% 9% 1% -
29 HOANG Anh 2% 17% 39% 31% 10% 1%
30 POPOKH Aleksandra 1% 10% 30% 36% 19% 4%
31 SHUM Maya 1% 8% 26% 36% 23% 6% 1%
32 CHOW Annabelle 4% 18% 32% 29% 14% 3% -
33 GOOR Viviene E. - 1% 10% 33% 40% 16%
34 CHEN Chloe I. - 2% 9% 26% 38% 23% 2%
35 SEAL Cameron I. - - - 3% 21% 46% 30%
36 MI Aileen - 4% 21% 39% 29% 7%
37 MANN Sophia J. - 9% 35% 38% 16% 2%
38 MARISI Gianna 2% 15% 35% 33% 13% 2% -
39 HOVAGHIMIAN Fira 2% 13% 32% 35% 16% 2% -
40 SINGH Ashni 2% 14% 36% 36% 11% 1% -
41 CROMWELL Keira - 4% 19% 35% 29% 10% 1%
42 SHA Yi Ling - 1% 7% 28% 43% 21%
43 ZHANG Eunice 2% 15% 33% 34% 15% 2%
44 CHIRASHNYA Mika - - 3% 16% 37% 35% 9%
45 NISSINOFF Alexandra 13% 34% 34% 15% 3% - -
46 MANIKTALA Prisha 2% 10% 26% 33% 21% 7% 1%
47 PARK Alexandria 15% 44% 31% 9% 1% - -
48 KOZLOWSKI Maya M. - 6% 22% 35% 26% 9% 1%
49 DAVIS Cate 2% 11% 30% 36% 19% 3% -
50 SUN Emily 1% 6% 22% 37% 27% 8% 1%
51 CHI Chelsea 3% 19% 37% 30% 9% 1% -
52 BOLES Amanda X. - 3% 13% 31% 34% 16% 3%
53 SHIM Grace 14% 47% 30% 8% 1% -
54 SUN Chloe - 2% 15% 36% 35% 12%
55 SWOPE Farren - 7% 25% 39% 24% 4%
56 YANG Iris 6% 25% 36% 24% 7% 1%
57 MORALES Paulina 21% 41% 28% 8% 1% - -
58 XU Audrey J. 2% 16% 35% 31% 13% 3% -
59 ZHOU Sophia 24% 42% 26% 7% 1% - -
60 LIU Emma 2% 13% 31% 33% 17% 4% -
61 HSU Kaylin 1% 16% 35% 32% 13% 3% -
62 ZHENG Zoe - 2% 12% 32% 37% 15% 2%
63 GUO Lily 5% 21% 34% 27% 11% 2% -
64 KAZA Nitya V. 11% 30% 34% 19% 5% 1%
65 KIM Rachel - 2% 13% 32% 34% 16% 2%
66 ZHANG Zoe 8% 30% 37% 19% 5% 1% -
67 MU Allison 10% 33% 36% 17% 4% - -
68 CHOW Tessa 5% 24% 36% 25% 9% 1% -
69 HUESER Nisha 7% 25% 36% 24% 7% 1% -
69 PENG Charlotte 1% 8% 25% 36% 24% 7% 1%
71 OH Julia 4% 27% 40% 23% 6% -
72 CHANG Natalie 26% 46% 23% 5% - -
73 LEE Ella 57% 36% 6% - - -
74 KULKARNI Sara 12% 35% 36% 15% 2% - -
75 BADLANI Diya 4% 27% 40% 23% 5% - -
76 BEAVER Ava 5% 24% 39% 25% 6% - -
77 LEE Roselyn 9% 34% 39% 16% 2% - -
78 MAENG Victoria 40% 42% 15% 3% - - -
79 AIRES Julia 11% 31% 33% 18% 5% 1% -
80 WILLIAMSON Reece 1% 11% 29% 35% 20% 4% -
81 WANG Jolie Z. 14% 36% 33% 14% 3% - -
82 PAULUS Sloane 25% 44% 25% 5% - - -
83 ALLEYNE Taylar - 1% 6% 20% 35% 29% 9%
84 CHEN Thea 8% 28% 36% 21% 6% 1% -
85 SEAL Ayda 29% 46% 21% 4% - -
85 QUINTERO Camila < 1% 4% 20% 39% 29% 7%
87 TEPMAN Alexandra D. 29% 41% 23% 6% 1% - -
88 JONES Maya 1% 8% 26% 38% 22% 5%
90 SAMI Amna 59% 34% 7% 1% - -
91 SONG Juliette 64% 30% 6% - - - -
92 GUHA Asha 8% 25% 33% 23% 9% 2% -
93 WRIGHT Trinity < 1% 5% 20% 37% 29% 8% 1%
94 WRIGHT Taliyah 1% 8% 24% 36% 25% 7% -

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.