Park Factors
Baseball parks can have a significant effect on the events that occur in them.…
Author statshacker
statshacker
statshacker is an Assistant Professor of Physics and Astronomy at a well-known state university. His research interests involve the development and application of concepts and techniques from the emerging field of data science to study large data sets. Outside of academic research, he is particularly interested in such data sets that arise in sports and finance. Contact: statshacker@statshacker.com
State-Based Event Probabilities in Baseball
Baseball statistics provide information about the probabilities of events that constitute the game of…
Statistical Analysis of the Stochastic Markov Matrices
An event-based framework for the Markov chain model of baseball has been detailed in…
Prediction of Strikeout Rate (K%) by Machine Learning
Batter–pitcher matchups are a (if not the) significant component of the game of baseball.…
An Event-Based Framework for the Markov Chain Model of Baseball
The game of baseball can be described, with remarkable accuracy, by certain probability models.…
The Markov Chain Model of Baseball
The game of baseball can be described, with remarkable accuracy, by certain probability models.…
Model: MLBp v0.1
This Communication describes the MLB prediction model MLBp v0.1. status: alpha The data mining…
Data Mining Process
Data mining is the process of discovering patters in large data sets. This is…
Odds and Probabilities
Odds and probabilities are important (and related) concepts in sports analytics. They appear in…
The Relationship Between Runs and Wins
The relationship between runs and wins is one of the most (if not the…