17
Data
Sports Analytics
Preface
Background
1
Introduction
2
Distributions
3
Regression
4
Poisson Regression
5
Logistic Regression
Head-to-head
6
Margin of Victory
7
Win-Loss Models
8
Win-Tie-Loss Models
9
Offense-Defense Rating
10
Player Contribution
Free-for-all
11
Time Models
12
Rank Models
Missing Data
13
Informative Missingness
Monte Carlo
14
Tournament
Bracketology
15
Expected Score
16
Summary
References
17
Data
Table of contents
17.1
R Packages
17.1.1
CRAN
17.1.2
Github
17.2
Kaggle
17
Data
This chapter is primarily for data resources.
Here
are the datasets used in this book.
17.1
R Packages
17.1.1
CRAN
17.1.2
Github
jalapic/engsoccerdata
17.2
Kaggle
WNBA 2021-2022
References