Home In On The Best Picks And Tips From Hundreds Each Week:
Many football (soccer to our American friends) picks and tips sites provide only a few picks/tips a week, some only one, with many charging huge amounts for the privilege. In this article I will show you how to 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 chances of success?
What if those picks/tips are chosen based on 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 could know whether draw predictions, home predictions or away predictions are more successful for the English Premier League, the Italian Serie A, the German Bundesliga, or many other leagues across Europe?
What if you could do it all for FREE or very low cost?
Well now you can. If you’re interested then read on.
Some Tips Are Better Than Others:
Using well established statistical methods along with automated software it’s possible to generate hundreds of situs judi online tips every week for many leagues, theoretically you could cover all of the major leagues in the world. So what, why would you want to do that? Surely many of the tips will be grossly inaccurate but on the other hand many will be correct so how can you determine which will be successful and which not? It would be much better to just concentrate on one or two matches and predict their outcome by intensive and careful focused analysis.
On the face of it the above responses that I have seen over the years 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. However, consider this, when a scientist runs a statistical analysis how many data items do they select as a representative sample? One, two… or more? When carrying out statistical analysis the more data you have to work on the better the outcome. For example,if you wanted to calculate the average height of a class of school children you could just take the first two or three as a sample. But if they are all six feet tall they are going to be highly unrepresentative so obviously you would get all their heights and calculate the average from those, the result is a much more accurate answer. It’s a simplistic example but hopefully you see my point. Obviously you can apply that argument to a single 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 and others won’t. So how do we target in on the best tips, the ones most likely to be correct, and how do we do it week after week? Well, the answer is to keep a record of how each and every 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’ll show you how it’s all done for you at the end of the article.
Results Are Not Always The Same:
Simply keeping a record of how each of the hundreds of tips we make actually perform against the eventual result is not enough, what we need now is a way of analysing that data and grouping it logically to get the best from it. Results are not always the same, in other words a tip that shows one possible outcome for match A and the same possible outcome for match B will not necessarily produce the same result (i.e. a correct prediction or a wrong prediction). Why is this? Well there are hundreds of reasons why and you will never be able to account for them all, if you could you would no doubt be a millionaire. When trying to predict the outcome of a match you may look at such qualitative things as the current injury list of each team, the team sheet, morale of the players, etc. We can also look at Quantitative factors using our statistical methods to predict the outcome of the match, so we may look at such things as past performance, position in the league, or more tried and tested statistical methods such as the Rateform method. We can use all of this information to predict the outcome of match A and the outcome of match B and still not have the same result, part of the reason for this is, as explained before, that we can not account for all the factors in a match, it’s impossible. But there’s something else, something we can account for which we have not yet thought about.