Papers
A multilevel model with heterogeneous variances for snap timing in the National Football League
NFL
Big Data Bowl
player tracking data
Bayesian
multilevel models
mixture models
NFL Ghosts: A framework for evaluating defender positioning with conditional density estimation
NFL
player tracking data
random forests
conditional density estimation
ghosting
Big Data Bowl
expected points
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data
NFL
Big Data Bowl
player tracking data
multilevel models
Augmenting adjusted plus-minus in soccer with FIFA ratings
player ratings
soccer
adjusted plus-minus
Bayesian
TRAP: A Predictive Framework for the Assessment of Performance in Trail Running
trail running
random forests
prediction intervals
Unsupervised methods for identifying pass coverage among defensive backs with NFL player tracking data
NFL
player tracking data
Big Data Bowl
mixture models
Extracting NFL tracking data from images to evaluate quarterbacks and pass defenses
NFL
player tracking data
completion probability
image extraction
generalized additive models
Going deep: models for continuous-time within-play valuation of game outcomes in American football with tracking data
NFL
player tracking data
Big Data Bowl
expected points
win probability
continuous-time expected value
deep learning
conditional density estimation
nflWAR: a reproducible method for offensive player evaluation in football
NFL
expected points
win probability
player evaluation
multilevel models
Competing process hazard function models for player ratings in ice hockey
ice hockey
player ratings
Bayesian
hierarchical models
competing process models
Cox model
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