First I modeled the probability of each combination arising—I was very confused that under certain configurations my numbers were easily reaching above 1, until I realized that I wasn’t measuring the likelihood that one would draw, say, a pair, but rather measuring the average number of pairs per hand. Then I established a consistent ratio of all the outcomes’ likelihoods against the least common basic outcome—the sock, or four of a kind—and finally established an inverse function of the ratios to set more rational scores for each outcome than the frankly haphazard and imbalanced scoring that was delivered by the rules we read.