7 citations · 9 across the 2 of their papers we have counts for
5 papers
Unsupervised Methods for Identifying Pass Coverage Among Defensive Backs with NFL Player Tracking Data
Rishav Dutta, Ronald Yurko, Samuel Ventura
Analysis of player tracking data for American football is in its infancy, since the National Football League (NFL) released its Next Gen Stats tracking data publicly for the first…
Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data
Ronald Yurko, Francesca Matano, Lee F. Richardson +4
Continuous-time assessments of game outcomes in sports have become increasingly common in the last decade. In American football, only discrete-time estimates of play value were pos…
nflWAR: A Reproducible Method for Offensive Player Evaluation in Football
Ronald Yurko, Samuel Ventura, Maksim Horowitz
Unlike other major professional sports, American football lacks comprehensive statistical ratings for player evaluation that are both reproducible and easily interpretable in terms…
Trouble With The Curve: Improving MLB Pitch Classification
Michael A. Pane, Samuel L. Ventura, Rebecca C. Steorts +1
The PITCHf/x database has allowed the statistical analysis of of Major League Baseball (MLB) to flourish since its introduction in late 2006. Using PITCHf/x, pitches have been clas…
Competing Process Hazard Function Models for Player Ratings in Ice Hockey
A. C. Thomas, Samuel L. Ventura, Shane Jensen +1
Evaluating the overall ability of players in the National Hockey League (NHL) is a difficult task. Existing methods such as the famous "plus/minus" statistic have many shortcomings…