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Our hypothesis was that one could build a model capable of exploiting the inherent inefficiencies that might exist within the betting marketplace. Our results were optimistic, as all models were able to accurately predict the winner of a matchup at a rate of greater than 60%, thus outperforming random chance. Part one of this study required a derivation of the mathematics behind betting odds to determine the true probability a sportsbook places on the outcome of a matchup. We used our logistic model to get a win probability for each team in every matchup and compared that result to the probability as defined by the sportsbook odds. Part two was the model building process in which we trained on an archive of team-level, NBA box scores dating back to 2007 in order to predict which team in the matchup would win or lose. This betting edge (the discrepancy between our model and the sportsbook) was used in a variety of betting strategies. caesars casino - free online slot machine gamesspread in sports betting