MFA Friday night sanctioned epee

Mixed Épée

Friday, April 29, 2022 at 7:00 PM

Marin Fencing Academy - San Rafael, CA, 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 LOWE-THORPE Tyler - - 2% 12% 32% 38% 16%
2 GARRETT Samuel - - - 3% 18% 46% 34%
3 ZHANG Eric - - - 1% 11% 41% 48%
3 SARKAR Agniv - 4% 17% 37% 33% 9%
5 ZAYDMAN David M. - 1% 10% 33% 41% 15%
6 WONG Kevin - - 3% 13% 32% 38% 15%
7 SARKAR Anish - 1% 5% 20% 38% 31% 6%
8 YEE Johnathan 1% 9% 33% 38% 17% 3%
9 LOGUE Ethan D. - - - 3% 18% 46% 32%
10 GOLDBERG Artie M. 1% 6% 25% 38% 24% 6% -
11 HANSEN Kira - 2% 12% 29% 35% 19% 4%
12 NICHOLSON Dimitri E. - - 2% 10% 29% 40% 19%
13 NICHOLSON Dominic A. - 2% 11% 31% 38% 17%
14 NG Biwon 35% 44% 17% 3% - -
15 LUCERO-OLSON Aydin - 2% 12% 32% 37% 16%
16 PRAKASH Hari 1% 9% 29% 37% 19% 4% -
17 GUPTA Karan 3% 17% 35% 31% 12% 2%
18 KUO Elvin - - 1% 11% 40% 43% 4%
19 RICHARD Silas 4% 20% 37% 28% 10% 1% -
20 LOUIE Sarah 33% 43% 20% 4% - - -
21 FERRER Alison 26% 43% 25% 6% - -
22 SITTER Gregoire 2% 13% 32% 34% 16% 3% -
23 SRIVASTAVA Arya 6% 25% 36% 24% 8% 1% -
24 LUO Xiao Ran - 3% 14% 31% 34% 16% 2%
25 SCHOLL Zander 1% 12% 33% 36% 16% 2%
26 KUO Rylan 3% 20% 36% 28% 11% 2% -
26 CHANG Celine A. 5% 23% 36% 25% 9% 1% -
28 RAJ Shrey - 4% 20% 37% 29% 9% 1%
29 DUONG Zoey 7% 25% 36% 24% 7% 1% -
30 GU Aidan 1% 6% 22% 37% 26% 7% 1%
31 KUO Michael 2% 36% 43% 17% 2% -
32 CONTI Braeden 21% 40% 28% 9% 1% - -
33 AHMED Rania 4% 22% 38% 26% 8% 1% -
35 LIN Ashley 2% 13% 31% 34% 17% 3%
36 MANSINGH Michael 2% 14% 37% 36% 11% 1% -
37 LAI Aaron 19% 39% 29% 10% 2% - -
38 ASTLE Stephen 5% 23% 38% 26% 7% 1% -
39 CHIEM Karen 7% 26% 37% 23% 6% 1%
40 LOWELL Justin 5% 34% 40% 18% 3% - -
41 DUONG John 9% 34% 36% 17% 4% - -

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.