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Message: [QUOTE="auror, post: 5185682, member: 1329"] There are two types of college basketball team metrics and they are usually referred to as "predictive", aka future facing. Or "resume", backwards facing. They both look at what a team has done, but 1 uses that to model how the team will perform in the future, and the other just looks at how the team has done relative to others. So obviously the models will be variously good at doing the predicting, but that's the umbrella term they fall into. Popular metrics: Predictive: KenPom, T-Rank, Miya Relative Rankings, BPI, Haslametrics Resume: SOR, KPI, Torvik and NET WAB, the new Miya Resume Quality, Haslametrics "Deserves" The NET is a blend of both, but primarily predictive. Based on comparing it to other models, I look at it as predictive with a bonus for teams that have a lot of raw wins. [/QUOTE]