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Cobra Challenge SYC/RCC/Y8

Y-14 Women's Foil

Friday, November 23, 2018 at 12:00 PM

Secaucus, NJ - Secaucus, NJ, 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 JING Alexandra - - - 1% 8% 37% 54%
2 SADAN Jordan E. - - 1% 7% 33% 43% 15%
3 SHEN Sophia H. - 1% 7% 22% 35% 27% 8%
3 FANG Sabrina - - - 2% 13% 39% 45%
5 CHEN Jessie S. - - 3% 17% 42% 33% 6%
6 SERBAN Samantha M. - - - 2% 11% 39% 48%
7 HO Brianna W. - 2% 11% 28% 34% 20% 4%
8 STUTCHBURY Carolina J. - 1% 8% 26% 38% 23% 4%
9 ZHANG Alina C. - 2% 13% 30% 34% 18% 3%
10 JING Emily - - - 1% 11% 40% 47%
11 ZHENG Ivy - - - 1% 14% 44% 41%
12 WANG Ellen - - 3% 14% 34% 36% 13%
13 DAVIA Daniella V. - 1% 6% 22% 37% 27% 7%
14 TUCKER ALARCON Ariadna C. - - 1% 7% 25% 42% 26%
15 CHEN Jia P. - - 2% 10% 31% 40% 17%
16 KIM Rachael - - 3% 16% 37% 34% 9%
17 XU Christine - 1% 8% 27% 40% 21% 2%
18 HE Fenghuan - - 3% 16% 34% 34% 12%
19 SHAW Kayla M. - 2% 10% 29% 37% 19% 3%
20 LIN Ashley - 4% 16% 32% 31% 14% 2%
21 LUNG Katerina - 2% 10% 26% 35% 22% 5%
22 HECKMANN Emma - 2% 11% 30% 36% 17% 3%
23 CHEN Allison V. - 2% 12% 27% 34% 20% 5%
24 COSTELLO Angeline S. - 4% 17% 33% 32% 13% 1%
25 SARTORI Taylor M. - - 1% 10% 34% 42% 13%
26 ADAMS KIM Natalie 1% 7% 23% 35% 26% 8% 1%
27 LAM Victoria M. 1% 7% 27% 39% 22% 4% -
28 CHO Lorin Y. - 2% 12% 32% 36% 15% 2%
29 WU Julianna Y. - 3% 15% 31% 32% 16% 3%
30 SHEN Lydia 2% 13% 32% 35% 16% 3% -
31 SONG ShuXuan (Liliya) 7% 27% 37% 22% 6% 1% -
32 TAN Kaitlyn N. - 1% 7% 23% 39% 26% 4%
33 OUYANG Bridgette Z. - - 1% 11% 32% 40% 16%
34 YE Eileen - - - 3% 19% 45% 33%
35 PEVZNER Victoria - - - 1% 8% 35% 56%
36 RASO Olivia - 15% 40% 33% 10% 1% -
37 WILSON Anna S. - 1% 5% 19% 34% 31% 11%
38 SHEN Sophia 13% 35% 33% 15% 3% - -
39 CHEN Lefu 2% 14% 32% 32% 16% 4% -
40 YU Jaime L. - 4% 23% 47% 23% 4% -
41 WONG Sophia M. - - 2% 12% 31% 37% 18%
42 LI Meilin - 1% 7% 26% 38% 23% 5%
43 CHEN Kelly - 1% 5% 19% 35% 30% 10%
44 PAHLAVI Dahlia 2% 14% 32% 32% 15% 3% -
45 WU Irene M. - 1% 8% 28% 41% 21% 2%
46 ZHAO Aileen Y. 2% 14% 30% 32% 17% 5% 1%
47 KOENIG Charlotte R. - - 1% 8% 28% 41% 21%
48 LIU Sophia - 4% 17% 32% 30% 14% 2%
49 SENIC Adeline - - 1% 10% 39% 41% 10%
50 KULKARNI Sohah A. 2% 12% 30% 34% 18% 4% -
51 ACHILOVA Feyza 2% 21% 45% 27% 5% - -
52 YU Lauren C. 41% 41% 15% 2% - - -
53 KONDAMANI Anya 2% 11% 29% 33% 19% 5% -
54 LIN Emma 24% 41% 26% 8% 1% - -
55 NAGER Abigail 16% 37% 32% 13% 2% - -
56 YU Nicole J. 7% 28% 37% 22% 6% 1% -
57 HUANG Natalie 4% 20% 37% 28% 10% 1% -
58 SIMONOV Dasha - 3% 15% 31% 31% 16% 3%
59 D'ORAZIO Sofia V. - 5% 20% 34% 29% 11% 1%
60 LEE Lavender - 3% 15% 33% 33% 15% 2%
61 PARK Caitlyn 61% 34% 4% - - - -
62 MAESTRADO Ashley R. 14% 38% 34% 12% 2% - -
63 WU Celine 27% 44% 23% 5% 1% - -
64 MUELLER Tatum J. 9% 40% 37% 12% 2% - -
65 SU Michelle 1% 8% 27% 36% 22% 6% 1%
66 SULTANA-HOLE Olivia B. 11% 35% 36% 15% 3% - -
67 SHEN Annabel - 2% 12% 29% 35% 18% 3%
68 FELLUS Talia E. 2% 18% 38% 30% 10% 1% -
69 XU Madison - 1% 9% 27% 37% 22% 4%
70 WANG Chloe 8% 29% 37% 20% 5% - -
71 BHAN Zala 1% 9% 27% 36% 21% 5% -
72 CHARALEL Jessica 11% 37% 36% 14% 2% - -
73 MUSTO Isabella 18% 38% 30% 11% 2% - -
74 FU Qihan 7% 27% 37% 22% 6% 1% -
75 XUE Alanna 7% 24% 34% 24% 9% 2% -
76 NORTH Zoe M. 3% 18% 37% 30% 11% 1% -
77 XIANG Emma 10% 32% 36% 18% 4% - -
78 CHO Claire E. 13% 39% 33% 12% 2% - -
79 ROY Layla 8% 35% 38% 16% 3% - -
80 HU Felice 10% 32% 35% 18% 4% - -
81 OLIVEIRA Lavinia M. 7% 36% 37% 16% 4% - -
82 TOBIN Brean 36% 44% 17% 2% - - -
83 SHTROM Uma A. 13% 34% 34% 16% 3% - -
84 SUNG Yoomin 45% 39% 13% 2% - - -
85 WANG Yudi 7% 30% 39% 20% 4% - -
86 CHEN Jasmine 17% 42% 32% 9% 1% - -
87 MAHNKEN Rachel 6% 29% 41% 20% 3% - -
88 QIAN Jade 17% 41% 32% 10% 1% - -
89 ZHOU Dorothy S. 7% 31% 41% 19% 2% - -
90 JHAVERI Sanjana 20% 38% 29% 11% 2% - -
90 JIN Wendy 21% 44% 28% 6% 1% - -

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.