Abstract
The study seeks to construct a profitable betting strategy for soccer results by developing a bivariate Poisson model for the analysis and computation of probabilities for football match outcomes. The dependence coefficient is estimated from Monte Carlo simulation and the scoring intensities are estimated from a log-linear model. The hypothesis tests show that the home-ground effect exists for some, but not all teams in the Zimbabwe Premier Soccer League. The profitable betting rule is to place a bet on the outcome of a particular match when a model's probabilistic forecast suggests a sufficient edge over the bookmaker's implied probability.
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