Sports Betting Blog

31.07.2009

Hamilton gave profit in F1

Filed under: Betting,Formula One — Tags: , , , , , , , — admin @ 11:43

As I wrote in the beginning of May this season in F1 is really good for punting. It was impossible some of the best drivers last year to finish without a single win and Hamilton did it. He gave good profit too. 15 was the coefficient for him. I was a bit surprised to see him winning in Hungary, because on this track Brawn was excepted to be better than everybody else.

Unfortunately, I picked the wrong driver. I preferred Kimi, but there is hope for him to win a race. It would be better for me if something happened with Lewis

23.07.2009

17% profit so far in my basketball under-over research

Filed under: Basketball,Betting — Tags: , , , , , , , — admin @ 14:12

I cannot say I am satisfied with the results from this research. I definitely expected more from Gauss less square approximate method. I see that there is profit, but I expected more. Even so, 17% pure profit from 31 matches with betting on under over in basketball is not bad.
Here are the stats.

% L + %i L + G L + Gm L + Avg. L + Avg.m L +
61.3 54.8 41.9 58 45.1 38.7

If we start talking in profit percentage, best results shows my old method of betting, where you betting under or over depends from all previous matches for both teams. The profit there is 17%. However, as I learned from previous NBA regular season this method is going to be less profitable at the end of the season, because bookies start to level under

18.07.2009

Result on my research after 18 games in WNBA

Filed under: Basketball,Betting — Tags: , , , , , , , — admin @ 10:36

Last week my betting study was occupied only with the research in basketball under or over ending. I wrote a few times about it and I will do it now, again. It is time for evaluation after the first 18 matches already played.

I won’t be explaing again which methods I use. You can read more about them here.

There is 16.1% profit in two of the profits. The other four are below the line after those 18 games. However, as we all know we have to wait for the final matches for making analysis.

Here is the table with the result after 18 games in percentages:

% L +
%i L +
G L +
Gm L +
Avg. L +
Avg.m L +
61.1
50
33.3
61.1
38.8
44.4

One mark here. All odds here are 1.91

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17.07.2009

Betsurf with new colors

Filed under: announcements — admin @ 14:26

I was a bit tired with previous colors of this site and I decided to change them. And I made it. It is a bit strange looking site, with too much white on it, but I like it. I hope you like it too.

As you know I am Bulgarian and I will publish a Bulgarian version of this site which will be online soon.

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14.07.2009

Results from my basketball betting research

Filed under: Basketball,Betting — Tags: , , , , , , , , — admin @ 11:49

It is a bit strange for me but my basketball under over research shows similar results. I use 6 methods for picking matches and all of them give results around 50%. This of course is 100% unsatisfying, but my research will continue.

Here are the results after 9 matches on WNBA:

When I use my old method with all previous matches

09.07.2009

Phoenix made profit. Finally!

Filed under: Basketball,Betting — Tags: , , , , , — admin @ 21:01

As I posted earlier I was going to bet on Under for Phoenix with Martinagale. Finally it gave profit and I am satisfied with full pockets. :)

Crossing fingers this to continue.

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03.07.2009

Research about basketball under – over betting

Filed under: Basketball,Betting — Tags: , , , , , , , , — admin @ 7:49

I am starting a quick research on a few different strategies about betting on under or over at basketball games. I will use WNBA because it is only one major championship where matches are on right now. Few words about those different strategies: the first one I have used before in NBA last regular season. I follow the under

01.07.2009

Backing the favourites with odds higher than 2.2. The stats for June!

Filed under: Betting,Football — Tags: , , , , , , , — admin @ 17:26

As I posted earlier I followed the soccer matches where the favorite had coefficient more than 2.2. The first few days the results were amazing. 53% of the games finished with wins for the favorites. Here are the final stats for the month.

Favorite’s wins = 46%
Draws = 25%
Underdog’s wins = 29%

All this is from 124 matches played in June. I must say here that those 124 matches would be played just for a weekend in regular football months as September for example.

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