Many football (soccer to our American friends) picks and tips sites provide only some picks/tips every week, some just one, with many charging huge amounts for the privilege. In this article I will show you how you can get the very best from hundreds of free and low cost picks and tips every week by answering these four questions.

What if you were able to pick the absolute best picks from hundreds of weekly picks/tips greatly increasing your probability of success?

What if those picks/tips are chosen according to the past performance of similar picks/tips and those picks/tips are all created using a combination of several tried and tested statistical methods?

What if you can know whether draw predictions, home predictions or away predictions will be more successful for the English Premier League, the Italian Serie A, the German Bundesliga, or many other leagues across Europe?

What if you might do it all for FREE or really low cost?

Well now you may. In case you are interested then read on.

Some Tips Are Better Than Others:

Using well established statistical methods in addition to automated software it's possible to generate hundreds of soccer tips every week for many leagues, theoretically you can cover all of the major leagues in the world. So what, why will you want to do that? Surely many of the tips will be grossly inaccurate but however some may be correct so how can you determine which can be successful and which not? It would be much better to just concentrate on 1 or 2 matches and predict their outcome by intensive and careful focused analysis.

On the face of it the above responses that I have seen over time have some merit and deserve careful consideration, there is a good argument for focussed analysis of a single match with the aim of trying to predict its outcome. Conversely, consider this, any time a scientist runs a statistical analysis how many data items do they select as a representative sample? One, two... or even more? When carrying check out this one from Urp statistical analysis the more data it's important to work on the higher the outcome. For example,if you wanted to calculate a normal height of a class of school children you might just take the very first two or three as a sample. But whenever they are generally six feet tall they may be going to be highly unrepresentative so obviously you would get all their heights and calculate the average from those, the result is a lot more accurate answer. It's a simplistic example but hopefully you see my point. Obviously you can apply that argument to just one match by collecting past results for each side and carrying out statistical analysis techniques using that data, but why restrict your analysis to that one match?

We know that if we make hundreds of automated tips, based on sound tried and tested statistical methods, that some will be successful as well as others won't. Now how do we target in on the top tips, the ones probably to be correct, and the way do we do it week after week? Well, the answer is to keep a record of how every single tip performs, some tips are better than others and we want to know which ones. At this stage, if your thinking how can I possibly calculate all of that information for every game, in every league I want to cover, and do it every week, then don't worry I will show you how it's all done for you by the end of the article.