## Park Factors

Baseball parks can have a significant effect on the events that occur in them.…

Trending

- Park Factors
- State-Based Event Probabilities in Baseball
- Statistical Analysis of the Stochastic Markov Matrices
- Prediction of Strikeout Rate (K%) by Machine Learning
- An Event-Based Framework for the Markov Chain Model of Baseball
- The Markov Chain Model of Baseball
- Model: MLBp v0.1
- Data Mining Process

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

Baseball parks can have a significant effect on the events that occur in them.…

Baseball statistics provide information about the probabilities of events that constitute the game of…

An event-based framework for the Markov chain model of baseball has been detailed in…

Batter–pitcher matchups are a (if not the) significant component of the game of baseball.…

The game of baseball can be described, with remarkable accuracy, by certain probability models.…

The game of baseball can be described, with remarkable accuracy, by certain probability models.…

This Communication describes the MLB prediction model MLBp v0.1. status: alpha The data mining…

Data mining is the process of discovering patters in large data sets. This is…

Odds and probabilities are important (and related) concepts in sports analytics. They appear in…

The relationship between runs and wins is one of the most (if not the…