Early GLSP Projections – High Expectations for Oakland’s Passing Game
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On a weekly basis, I’ll use Game Level Similarity Projections to find players with surprising ranges of outcomes. Early in the week, I’ll post the results of my personal model with some quick commentary. This will be followed up with an article that compares and contrasts these findings with those of the GLSP Apps on the site. For more information relating to the model, apps, and weekly fantasy application, check out the 2017 GLSP Primer. With 2017 data available, the model improved upon its seasonal accuracy. The “average projections” calculated by the model, when compared to actual results, have an absolute difference of five points. This is very competitive when measured against subjective projections or those derived through other means. As a result, the “average projections” generated by the model serve as a pretty good proxy for a more traditional projection.