Undergraduate Research

Jake Federman, Eshan Mehere, Aidan Resnick, and Maxwell Resnick

2021 Diamond Dollars Case Competition winners at the SABR Virtual Analytics Conference

Research focus: Devise an improved metric for Game Score to evaluate the performance of starting pitchers.

Undergraduate Research

Zach Bradlow (W22), Zach Drapkin (W22), Ryan Gross (PhD), Sarah Hu (W23)

2021 Big Data Bowl finalists — hosted by the National Football League

Research focus: Creating a relative skill rating system based upon success in coverage matchups to measure defender skill

Undergraduate Research

Jake Flancer (W21)

NCAA Plus Minus

Research focus: Using compiled data from college basketball R package bigballR, this project presents open source college basketball player +/- models, most notably the prior-informed sRAPM metric.

Undergraduate Research

Matt Popowitz (C20)

RE+: Factoring Player and Team Hitting Ability into Run Expectancy and the True Value of a given Stolen Base

Research focus: For years, run expectancy in a given inning was determined according to the base-out state. Now, we take into account both the current batter and the rest of the team’s offensive prowess. Using our findings, we are able to determine how valuable (or costly) a given stolen base attempt truly is!

Undergraduate Research

Jake Flancer (W21)

A Bayesian Model for Estimating NHL Team Scoring

Undergraduate Research

Jacob Richey (C21)

Carnegie Mellon Sports Analytics Conference

Research focus: Factoring Strength of Schedule into Player Analysis, Player elo, done in conjunction with Professor Adi Wyner.

Undergraduate Research

Jack Soslow (W19), Jake Flancer (W21), Eric Dong (ENG19), Andrew Castle (W21)

Inaugural Big Data Bowl Finalists

Research focus: Using autoencoded receiver routes to optimize yardage