Scott Powers
  • Research
  • Software
  • Teaching
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On this page

  • Working Papers
  • Publications
    • Sports
    • Not Sports
  • Presentations
    • Invited Talks
    • Contributed Talks
    • Invited Panels
    • Student Talks
    • Student Posters

Research

Working Papers

Ball path curvature and in-game free throw shooting proficiency in the National Basketball Association 🏀
w/ Ruoqian (Judy) Zhu and Dave Love

Swinging, Fast and Slow: Untangling intention and timing error from bat speed and swing length ⚾
w/ Ron Yurko
2024 Cascadia Symposium on Statistics in Sports
2024 Saberseminar

The Two-Foot Rule: A game theoretic analysis of the pickoff limit in Major League Baseball ⚾
w/ Jacob Hahn, Mallesh Pai and Andrew Schaefer
2024 Cascadia Symposium on Statistics in Sports
2024 Saberseminar

Pitch trajectory density estimation for predicting future outcomes ⚾
w/ Vicente Iglesias
2023 Saberseminar

Publications

Sports

Estimating individual contributions to team success in women’s college volleyball 🏐
Powers S, Stancil L, Consiglio N (2025)
Journal of Quantitative Analysis in Sports 21(2) 117-135

Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball ⚾
Powers S, Hastie T, Tibshirani R (2018)
Statistical Modelling 18(5-6) 388-410

A linear model for estimating optimal service fraction in volleyball 🏐
Burton T, Powers S (2015)
Journal of Quantitative Analysis in Sports 11(2) 117-129

Mutually-antagonistic interactions in baseball networks ⚾
Saavedra S, Powers S, McCotter T, Porter MA, Mucha PJ (2010)
Physica A: Statistical Mechanics and its Applications 389 1131-1141

Not Sports

A data-driven greenhouse gas emission rate analysis for vehicle comparisons
Burton T, Powers S, Burns C, Conway G, Leach F, Senecal K (2023)
SAE International Journal of Electrified Vehicles 12(1)

Evaluating disease prediction models using a cohort whose covariate distribution differs from that of the target population
Powers S, McGuire V, Bernstein L, Canchola AJ, Whittemore AS (2019)
Statistical Methods in Medical Research 28(1) 309-320

Some methods for heterogeneous treatment effect estimation in high dimensions
Powers S, Qian J, Jung K, Schuler A, Shah NH, Hastie T, Tibshirani R (2018)
Statistics in Medicine 37(11) 1767-1787

Customized training with an application to mass spectrometric imaging of cancer tissue
Powers S, Hastie T, Tibshirani R (2015)
The Annals of Applied Statistics 9 1709-1725

Cautions about the reliability of pairwise gene correlations based on expression data
Powers S, DeJongh M, Best AA, Tintle NL (2015)
Frontiers in Microbiology 6 650

Assessing the impact of non-differential genotyping errors on rare variant tests of association
Powers S, Gopalakrishnan S, Tintle NL (2011)
Human Heredity 72 153-160

Evaluating methods for the analysis of rare variants in sequence data
Luedtke A, Powers S, Petersen A, Sitarik A, Bekmetjev A, Tintle NL (2011)
BMC Proceedings 5 S119

Evaluating methods for combining rare variant data in pathway-based tests of genetic association
Petersen A, Sitarik A, Luedtke A, Powers S, Bekmetjev A, Tintle NL (2011)
BMC Proceedings 5 S48

Presentations

Invited Talks

Spotlighting under-the-radar performers in college women’s volleyball 🏐
2024 Sloan Sports Analytics Conference

Estimating individual contributions to team success in women’s college volleyball 🏐
2023 New England Symposium on Statistics in Sports

Contributed Talks

Swinging, Fast and Slow: Untangling intention and timing error from bat speed and swing length ⚾
2024 Cascadia Symposium on Statistics in Sports

Swinging, Fast and Slow: Untangling intention and timing error from bat speed and swing length ⚾
2024 Saberseminar

Baseball pitch trajectory density estimation for predicting future pitcher outcomes ⚾
2024 Conference of Texas Statisticians

Pitch trajectory density estimation for predicting future outcomes ⚾
2023 Saberseminar

Jointly predicting exit velocity and launch angle for batter-pitcher matchups ⚾
2016 Saberseminar

Nuclear penalized multinomial regression for predicting at bat outcomes in baseball ⚾
2016 Joint Statistical Meetings

True wOBA: Estimation of true talent level for batters ⚾
2016 SABR Analytics Conference

Rewarding batters for baserunner advancement: A ridge-regressed Rasch model ⚾
2015 Saberseminar

Invited Panels

Data Science and Analytics in Sports Performance and Management
w/ Mark Broadie, Natalie Kupperman and Jill McNitt-Gray
2024 Columbia Symposium on AI and Sports

Student Talks

The Two-Foot Rule: A game theoretic analysis of the pickoff limit in Major League Baseball ⚾
Jacob Hahn
2024 Cascadia Symposium on Statistics in Sports
2024 Saberseminar

Modifying k-means clustering to optimize defensive positioning in volleyball 🏐
Naomi Consiglio
2024 Women in Sports Data Symposium

Do we learn more about AAA batters when they face better pitches? ⚾
Jeff Brover
2024 Saberseminar

Time warping for clustering pitcher deliveries ⚾
Drew Haugen
2024 Saberseminar

Student Posters

A statistical approach to sport climbing difficulty and progression 🧗
Elizabeth Sepúlveda
2024 Cascadia Symposium on Statistics in Sports

Not All Features Are Created Equal: Player clustering and evaluation ⚽
Andrew Kang
2024 Opta Forum