In these posts, I’ve used various types of advanced statistical techniques to analyze NFL data, all of which fall under the purview of structural equation modeling (SEM).
We all know RBs don’t matter. But they do — provided they can catch. Continue Rounding
The most recent example of why time series data requires time series analysis. Continue Rounding
Re-examining the statistical distribution of RB scoring on FanDuel. Continue Rounding
Re-examining the statistical distribution of QB scoring on FanDuel. Continue Rounding
The average rushing game produced 15.6 fantasy points in 2014. Do forecasts of the NFL rushing environment in 2015 suggest an increase or decrease? Continue Rounding
The league average for QB fantasy scoring in 2014 was 17.3 points per game. Do forecasts of the NFL passing environment in 2015 suggest an increase or decrease? Continue Rounding
An underrated factor in accurate player projections is forecasting the league environment. I did my best to do so via some fancy statistics. Continue Rounding
How much of the variation in Pass-Run Ratio since 1978 is due to head coach differences? Continue Rounding
The third installment in a measurement validity evaluation of ANY/A. Continue Rounding
The second installment in a measurement validity evaluation of ANY/A. Continue Rounding
