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** April Poker League Result : 1st Like2Fish, 2nd McG, 3rd andybell666 **

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Dukat

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May 10, 2013

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Posts posted by Dukat

Working System?Coincidence?Suggestions?

in Betting Systems & Strategy
Posted February 26, 2012

Re: Working System?Coincidence?Suggestions?
For the calculation of %H and %A propabilities I use this formula, 1-(Home team failed to score + Away team clean sheet)/2 This gives the probability of home team scoring
OK. Thanks a lot. Now it seems clear. And BTW I think that you should check the % of overs and average goals per game in some leagues.For example: [TABLE=width: 100%] [TR] [TD=class: row3, bgcolor: #D1D7DC, align: left]League [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]Teams [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]Games [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]HT Home % [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]HT Draw % [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]HT Away % [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]FT Home % [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]FT Draw % [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]FT Away % [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]Under 2.5 % [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]Over 2.5 % [/TD] [TD=class: row3, bgcolor: #D1D7DC, align: center]Avg Goals per Game [/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Dutch Gouden Gids
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
18
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
201
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
40.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
36.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
22.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
51.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
22.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
26.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
30.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
69.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.37
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Norway Div. 1
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
16
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
240
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
39.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
33.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
27.5
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
46.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
23.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
30.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
36.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
63.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.23
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Swiss Challenge Lg
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
16
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
126
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
33.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
38.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
27.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
42.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
22.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
34.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
37.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
62.7
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.12
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
N.Ireland Premier
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
12
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
173
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
21.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
56.6
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
22.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
37.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
20.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
42.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
39.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
60.7
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.21
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Dutch Eredivision
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
18
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
198
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
42.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
32.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
24.7
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
51.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
22.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
26.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
39.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
60.6
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.24
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Scottish Division 3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
10
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
121
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
40.5
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
38.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
21.5
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
46.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
24.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
28.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
40.5
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
59.5
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.17
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Iceland Division 1
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
12
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
132
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
36.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
38.6
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
25.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
43.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
25.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
31.1
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
41.7
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
58.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.04
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Austrian Division 1
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
10
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
105
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
34.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
33.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
32.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
42.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
26.7
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
30.5
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
41.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
58.1
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.13
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Scottish Division 2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
10
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
117
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
35.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
40.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
23.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
46.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
24.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
29.1
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
43.6
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
56.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
3.32
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Swedish Superettan
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
16
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
240
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
36.7
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
39.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
24.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
44.6
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
21.7
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
33.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
43.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
56.3
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
2.90
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
English Premier League
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
20
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
250
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
32.4
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
42.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
24.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
42.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
24.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
33.2
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
44.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
56.0
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
2.85
[/TD] [/TR] [TR] [TD=class: row1, bgcolor: #EFEFEF]
Denmark Division 1
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
14
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
98
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
34.7
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
37.8
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
27.6
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
43.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
28.6
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
27.6
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
44.9
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
55.1
[/TD] [TD=class: row1, bgcolor: #EFEFEF]
2.93
[/TD] [/TR]
[/TABLE] Now the question is what is more important, the percentage of overs or average number of goals per game.
Working System?Coincidence?Suggestions?

in Betting Systems & Strategy
Posted February 25, 2012

Re: Working System?Coincidence?Suggestions? I'm a little bit confused. How do you calculate the %H and %A?
Bairn's Value Away Wins

in Betting Systems & Strategy
Posted May 15, 2011

Re: Bairn's Value Away Wins Hi Bairn. I'm new on this forum, but I've follow your topic for few months. It looks really nice. I'm also very interesting in valuebets and I have some spreadsheets wich calculate probability. I have a favour to ask of you if you could send me a e-mail with formula of your system? I will check it on other leagues, and compare with mine spreadsheets. [email protected] Thanks in advance, and sorry for mistakes in my english :)

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