Projects

Research

Publications

Quang Nguyen, Ronald Yurko, Gregory J. Matthews. “Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data”. The American Statistician, 2023+. [arXiv; journal]
(Editors’ Choice Collection)
(Finalist, NFL Big Data Bowl 2023)

Benjamin S. Baumer, Gregory J. Matthews, Quang Nguyen. “Big ideas in sports analytics and statistical tools for their investigation”. Wiley Interdisciplinary Reviews: Computational Statistics, 2023. [arXiv; journal]

Quang Nguyen, Hannah Butler, Gregory J. Matthews. “An Examination of Olympic Sport Climbing Competition Format and Scoring System”. Journal of Data Science, 2022. [arXiv; journal]
(Winner, Open Methodology Track, Reproducible Research Competition, Carnegie Mellon Sports Analytics Conference 2021)
(Winner, Student Poster Award, UConn Sports Analytics Symposium 2021)

Quang Nguyen. “Poisson Modeling and Predicting English Premier League Goal Scoring”. New England Journal of Statistics in Data Science, 2023. [arXiv; journal]
(Co-winner, Poster Competition, Undergrad/MS Group, New England Statistical Society NextGen: Data Science Day 2020)

Preprints

Quang Nguyen, Gregory J. Matthews. “Filling the Gaps: A Multiple Imputation Approach to Estimating Aging Curves in Baseball”. arXiv preprint arXiv:2210.02383, 2023. [arXiv]
(Third Place, Open Methodology Track, Reproducible Research Competition, Carnegie Mellon Sports Analytics Conference 2022)

Other

Quang Nguyen, Larry Jiang, Meg Ellingwood, Ron Yurko. “Momentum-based fractional tackles”. NFL Big Data Bowl. Kaggle, 2024. [link]

Gregory J. Matthews, Quang Nguyen. “STRAIN: Sacks, Tackles, Rushing, Aggression INdex”. NFL Big Data Bowl. Kaggle, 2023. [link]

Benjamin S. Baumer, Quang Nguyen, Gregory J. Matthews. “CRAN Task View: Sports Analytics”. The Comprehensive R Archive Network, 2022. [link]

Miscellaneous

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