Naskin

Yeah, each metric should be tested for normality. If non-normal, you need a fit that you can essentially correct things to being effectively normal (can use quantiles to create z-scores). Then each metric should be comparable. Once all are comparable, you can add a weighting factor depending on importance to generate your final QB score. Final score should have a normal distribution (can be converted at this point into some easier-to-digest number though, like quantiles, to give a percentage from 0-100)

They are the 46th largest media market. They were the 45th largest market when they moved from Seattle. City size itself doesn't really matter.