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(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

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Div II Women's Foil

Sunday, November 3, 2019 at 11:00 AM

Suffern, NY - Suffern, NY, 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
1 SHAW Kayla M. - - 1% 14% 46% 39%
2 XU Madison - - 2% 16% 45% 36%
3 BOODELL Ella - - - 8% 48% 44%
3 PAHLAVI Dahlia - 5% 32% 44% 17% 2%
5 BAKER-ROSENBERG Raynor S. - 1% 11% 32% 39% 16%
6 SEGAL Lydia G. - 2% 13% 36% 37% 12%
7 DRANOVSKY Dasha - 1% 12% 36% 38% 13%
8 VEERKAMP Molly - - 1% 8% 51% 40%
9 HOLLE Aviella S. - - 1% 14% 45% 40%
10 MCSHINE Katelyn H. - - - 4% 27% 68%
11 BHAN Zala 1% 11% 33% 37% 16% 2%
12 BECCHINA Claire E. - 3% 17% 37% 33% 10%
13 ZHANG Alina C. - - 3% 22% 48% 26%
14 SU Michelle - 3% 16% 36% 35% 11%
15 SLASKI Caroline O. - 6% 24% 38% 25% 6%
16 WERBACH Esther - 6% 23% 38% 26% 7%
17 WEINTRAUB Io H. - 1% 7% 26% 41% 25%
18 JULIUS Sonia 1% 6% 24% 39% 26% 4%
19 LOGAN Jade - 4% 22% 46% 24% 4%
20 OLIVEIRA Lavinia M. 2% 18% 42% 30% 7% 1%
21 OETZEL Taylor 22% 41% 28% 8% 1% -
22 MCPHERSON Hannah C. 1% 8% 28% 38% 21% 4%
23 PAVE Claire - 7% 39% 40% 12% 1%
24 BHOGAL Sukhneet 8% 29% 38% 21% 4% -
25 BECKLEY Claire 12% 40% 36% 11% 1% -
26 MCKEE Alexandra K. - 7% 31% 43% 17% 2%
27 TAI Serena 5% 22% 38% 28% 8% 1%
28 ZGOMBIC Emily 10% 37% 40% 11% 1% -
29 LEE Kaylin 31% 44% 21% 4% - -
30 MUSTO Isabella 4% 25% 43% 25% 2% -
31 TAI Valerie 39% 41% 16% 3% - -
32 PARK Caitlyn 5% 26% 44% 24% 2% -
33 PARK Jacqueline 46% 39% 13% 2% - -
34 SCARLETT Skye 41% 41% 15% 2% - -
35 YANG Megan 75% 23% 2% - - -
35 LEE Madison 34% 44% 19% 3% - -
37 PAN Anna 3% 21% 40% 29% 7% -
38 RICHARDS Ella 10% 53% 31% 7% 1% -
39 WOOLF Claudia Grace 7% 31% 41% 19% 2% -
39 PEIRCE Taylor 11% 41% 34% 12% 2% -
41 CAREY Aislynn 9% 37% 40% 13% 1% -
42 BAGASRA Sarah 8% 71% 20% 2% - -

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.