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PECOTA
Machine Learning Applications in Baseball: a Systematic Literature Review
A Giant Whiff: Why the New CBA Fails Baseball's Smartest Small Market Franchises
Major Qualifying Project: Advanced Baseball Statistics
Predicting Baseball Win/Loss Records from Player Projections
Forecasting Outcomes of Major League Baseball Games Using Machine Learning
Forecasting Batting Averages in MLB
Projecting the Future Individual Contributions of Nhl
Simulation-Based Projections for Baseball Statistics
A Data-Driven Method for In-Game Decision Making in MLB
Summaries of Research Using Retrosheet Data
Diary of a Mad Sports Bettor by James Holzhauer
Download Date 24/09/2021 07:56:18
Pythagorean Formula in Baseball: Creation of a Better Model Using Backward Elimination Stepwise Regression Analysis
Arxiv:2005.07742V1 [Stat.AP] 15 May 2020
Novel Statistical and Machine Learning Methods for the Forecasting and Analysis of Major League Baseball Player Performance
Building a Better Mousetrap: Patenting Biotechnology In
Aggpro: the Aggregate Projection System 1
Predicting the Potential of Professional Soccer Players
Top View
I the EFFECTS of USING PERFORMANCE ENHANCING
Does Player Performance Outside of Major League Baseball Translate to the MLB? Ian Vogt
A Survey of Baseball Machine Learning: a Technical Report
Granularity of Weighted Averages and Use of Rate Statistics in Aggpro
Hierarchical Bayesian Modeling of Hitting Performance in Baseball