This paper uses a new bivariate negative binomial distribution to model scores in the 1996 Australian Rugby League competition. First, scores are modelled using the home ground advantage but ignoring the actual teams playing. Then a bivariate negative binomial regression model is introduced that takes into account the offensive and defensive capacities of each team. Finally, the 1996 season is simulated using the latter model to determine whether or not Manly did indeed deserve to win the competition.