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Hi, i have a question that initially I thought it was simple, but that’s not the case i guess. Let’s say i have a model, and i can calculate the probability of all correct scores for a given match ( it really doesn’t matter the model as long as i have a probability density function f(x,y) that returns correct score x-y). How can I calculate asian handicaps 0, 0.25, 0.5, 0.75 etc? 0.5 is easy, i take all matches that x>=y (0-0,1-0,2-0....., 1-1,2-1,3-1,..... ) similarly 1.5: x>=y+1 etc what about the asian handicaps? Any idea?

Hi, i have a question that initially I thought it was simple, but that’s not the case i guess. Let’s say i have a model, and i can calculate the probability of all correct scores for a given match ( it really doesn’t matter the model as long as i have a probability density function f(x,y) that returns correct score x-y). How can I calculate asian handicaps 0, 0.25, 0.5, 0.75 etc? 0.5 is easy, i take all matches that x>=y (0-0,1-0,2-0....., 1-1,2-1,3-1,..... ) similarly 1.5: x>=y+1 etc what about the asian handicaps? Any idea?

Hello all, I'm new here and need your help. I've made a model in Matlab which calculates outcome probablities for soccer matches, compares these probablities with odds from bookmakers and filter out bets which have (hopefully) value and enough chance of winning. I want to use this model to pre-select a number of bets. The problem I have is how to find actual odds from the bookmakers to do the comparison? Well, finding is not so difficult but export those numbers automtically to Matlab is. I used the spreadsheets from football-data.co.uk to feed and test the model. Those spreadsheets were perfect. Does anyone know of a site which allows me to export the odds from the bookmakers on a given moment in time. I'm thinking of: - A site like www.oddsporal.com with export functionality (preferred)? - A site which presents all odds (1x2, o/u2.5 and BTTS) in a nicely formatted table (This allows me to write a "read/import" function in Matlab) All suggestions are welcome, Thanks a lot! Best regards, Loen