January NAC

Vet-50 Men's Épée

Monday, January 10, 2022 at 12:00 PM

San Jose, 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 O'LOUGHLIN Chris S. - - - - 7% 40% 53%
2 LEE Tobias (Toby) T. - 1% 5% 17% 33% 32% 12%
3 CRANOR Erich L. - - 1% 7% 25% 41% 26%
3 BARREIRO Darren - 1% 10% 31% 40% 18%
5 SNIDER Jeffrey H. - 2% 17% 38% 33% 10%
6 EXUM Travis H. - - - 5% 26% 49% 19%
7 HELGE James R. - 1% 8% 30% 42% 19%
8 GILLHAM Timothy A. - 1% 6% 22% 36% 28% 7%
9 FRANK Fred - - 4% 15% 32% 35% 15%
10 DEUCHER Joseph H. - - - 3% 20% 45% 32%
11 MEHALL Michael - - 3% 15% 34% 35% 13%
12 KURITZ Marc M. 1% 8% 30% 39% 19% 3%
13 GAINES Aaron - 1% 9% 28% 38% 20% 4%
14 EMARA Elsayed M. 1% 5% 21% 36% 28% 8% 1%
15 BAILEY Creston P. - 2% 19% 39% 31% 9%
16 MAYCHROWITZ Matt 1% 6% 19% 33% 28% 11% 2%
17 LUONG Allen 2% 15% 33% 32% 15% 3% -
18 GUMAGAY Paul - 2% 12% 30% 35% 18% 3%
19 LEE Stephen K. 3% 16% 33% 31% 14% 3% -
20 KAUFMAN Joel H. 1% 12% 35% 35% 14% 2%
21 WILSON Jeffrey M. - - 6% 24% 43% 26%
22 STEWART Robert 2% 13% 34% 36% 14% 2% -
23 CHEN Steve 12% 36% 36% 13% 2% - -
24 LINGVAY Laurance (Larry) S. - 5% 23% 39% 25% 6% 1%
25 ROOD Alex - 4% 23% 40% 27% 7%
26 BECK Brian C. 4% 17% 32% 30% 14% 3% -
27 HARGROVE Charles - 3% 15% 34% 32% 13% 2%
28 UNGER Marc A. 9% 39% 36% 13% 2% -
29 CAMPBELL Kenneth 3% 48% 37% 11% 1% -
30 WEINTRAUB Adam 6% 24% 35% 24% 8% 1% -
31 LIU Bobby P. 6% 25% 38% 24% 6% - -
32 REID Michael 8% 35% 39% 15% 2% - -
33 KONG Li Kuo 14% 38% 33% 13% 2% - -
34 BEITTEL David F. 14% 35% 34% 14% 3% - -
35 LOGUE Paul 13% 37% 34% 13% 2% - -
36 DUONG John 17% 37% 31% 13% 2% - -
37 WIESE Michael 7% 25% 34% 24% 9% 2% -
38 ROGERS John D. 91% 9% - - - -
39 KAIN Brad 33% 44% 19% 4% - - -
40 FUHRMANN Amir 58% 35% 7% 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.