Improve your football paris is a series of articles that describe some well known and well used statistical techniques that will help the soccer punter make more informed paris. Each technology has its advantages and disadvantages and their use in isolation will improve your chances of winning. However, together they will prove invaluable in your battle against the bookies. In each article we will describe in detail how a particular method that gives you enough information so you can go ahead and create your own forecasts. We will also give you information about where you can already find websites that use this technique in that it includes their weekly football predictions. The statistical methods described in this series of articles will help you to achieve a better grip on the match or matches, you bet. In this article we will describe the well known superiority. The method is based on superior goal difference (superiority) for both teams in a fixture on the number of games being spent. Here are the basic rules. . . Get the difference of goals for each team. This could be either: a) All home games for the home team and all away games for the away team on the last N games. Orb) All games for each team over the last N games. Now we need to count each occurrence of a particular goal difference. We need to do this both for the local team and the away side. We create a table which contains figures and in our case we chose to have thirteen lines in our table, which represent the difference in goals: INDEX GOAL DIFF1. . . . . . . . . . > -52. . . . . . . . . . 53. . . . . . . . . . -44. . . . . . . . . . -35. . . . . . . . . . -26. . . . . . . . . . -17. . . . . . . . . . 08. . . . . . . . . . 19. . . . . . . . . . 210. . . . . . . . 311. . . . . . . . 412. . . . . . . . 513. . . . . . . . 5So> N for our games, we add to the contents of each index each time the goal differential is met. This may be a bit confusing, so let’s look at an example. Arsenal v West HamARSENAL 2 -1 0 -2 1 0 3 1 1 5 1 0 0-2WEST HAM 0 0 -2 -3 -1 3 1 -1 -1 2 1 3 0 1The above shows the difference in goals during the last fourteen games for Arsenal and West Ham, now we’ll add to our table on goal difference: INDEX GOAL DIFF ARSENAL WEST HAM1. . . . . . . . . . > -5. . . . . . . 0. . . . . . . . . . 02. . . . . . . . . . -5. . . . . . . . . 0. . . . . . . . . . 03. . . . . . . . . . -4. . . . . . . . . 0. . . . . . . . . . 04. . . . . . . . . . -3. . . . . . . . . 0. . . . . . . . . . 15. . . . . . . . . . -2. . . . . . . . . 2. . . . . . . . . . 16. . . . . . . . . . -1. . . . . . . . . 1. . . . . . . . . . 37. . . . . . . . . . 0. . . . . . . . . . 4. . . . . . . . . . 38. . . . . . . . . . 1. . . . . . . . . . 4. . . . . . . . . . 39. . . . . . . . . . 2. . . . . . . . . . 1. . . . . . . . . . 110. . . . . . . . 3. . . . . . . . . . 1. . . . . . . . . . 211. . . . . . . . 4. . . . . . . . . . 0. . . . . . . . . . 012. . . . . . . . 5. . . . . . . . . . 1. . . . . . . . . . 013. . . . . . . . > 5. . . . . . . . 0. . . . . . . . . . 0Now each count table home team is added to table the number of faces for the opposite side. Thus, the index table teams at home “13 is added to the array index away from teams 1, the array index 12 teams at home is added to the index table away from two teams, etc. In our example, this gives us; INDEX GOAL DIFF COMBINED1. . . . . . . . . . > -5. . . . . . . . . 02. . . . . . . . . . -5. . . . . . . . . . . 03. . . . . . . . . . -4. . . . . . . . . . . 04. . . . . . . . . . -3. . . . . . . . . . . 25. . . . . . . . . . -2. . . . . . . . . . . 36. . . . . . . . . . -1. . . . . . . . . . . 47. . . . . . . . . . 0. . . . . . . . . . . . 78. . . . . . . . . . 1. . . . . . . . . . . . 79. . . . . . . . . . 2. . . . . . . . . . . . 210. . . . . . . . 3. . . . . . . . . . . . 211. . . . . . . . 4. . . . . . . . . . . . 012. . . . . . . . 5. . . . . . . . . . . . 113. . . . . . . . > 5. . . . . . . . . . Forecast 0The can now be determined. If we assume that the drawing is represented by an array index 7, then the array indexes represent a 1-6 away win, and indexes of tables 8-13 a victory at home. Thus, the home victory figures are added together and are therefore victory outside account. In our example, this gives us the number AWAY WIN9DRAW7HOME WIN12The total number = 28Therefore, away win possible option = 32% = 25% Home win opportunity Draw = 43%. Now it’s your turn. . . Of course, you can choose to use values different from those shown above and by experimenting, you can find better values to use. If you have skills you can go ahead and build your own spreadsheet data or even write a piece of software to take in the results and to install and apply the method of superiority to your data. Or, if you’re lazy like me, you might get a free program that does for you. If this last option is for you then visit 1X2Monster where you can download a free copy of Footyforecast 2. 0 soccer program that uses all paris on statistical methods described in this series of articles. You’ll also be able to download free updates weekly database for your software, How cool is that? Here is a list of all articles of this series. . . Improve your football paris Using Your Soccer Rateform MethodImprove Paris Using Your Soccer Footyforecast MethodImprove Paris Using Win Loss Draw Your Soccer MethodImprove Paris using simple sequence MethodImprove Paris Using Your Soccer Prediction Score MethodImprove Your Soccer Betting Using the method of superiority
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