To evaluate player and position importance on the BYU football team, we used the coaches' play-by-play grades of each player as explanatory variables, with the response of expected points gained or lost on each play. Expected points were determined using an analysis of NCAA Football Bowl Subdivision (FBS) teams play-by-play data from 2005-2013 implementing the tiered polychotomous regression model of White and Berry (2002). We used a Bayesian hierarchical linear model with first-level parameters of player and second-level parameters of position to estimate the effect or "impact" each player had on the expected points gained or lost each play. We then used this model to identify the relative importance of each player and each position on the team.
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