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Ötting, Marius: Sports statistics in the data age: betting fraud detection and performance evaluation. 2020
Inhalt
Acknowledgements
Statement of contribution
Introduction
Betting fraud detection
Evaluation of in-game performance
The demand for English Premier League football betting
Introduction
Literature review
Empirical analysis
Methodology
Linear model
Flexible approach
Final remarks
Betting market inefficiencies are short-lived in German professional football
Introduction
Biases in betting odds
Evidence from the German Bundesliga
Concluding remarks
Integrating multiple data sources in match-fixing warning systems
Introduction
Building models for betting volumes and odds
Modelling betting volumes
Modelling betting odds
Detection of match fixing
Classification results based on betting volumes
Classification results based on betting odds
Combining the classification based on volumes and odds
Discussion of the results
Conclusions
The hot hand in professional darts
Introduction
Data
Modelling the hot hand in darts
State-space model of the hot hand
Model specifications
Maximum likelihood estimation
Results
Discussion
A regularised hidden Markov model for analysing the `hot shoe' in football
Introduction
Data
Methods
Hidden Markov models
Variable selection by the LASSO
A short simulation study
Results
Discussion
A copula-based multivariate hidden Markov model for modelling momentum in football
Introduction
Data
Modelling momentum
A baseline model
Modelling within-state dependence using copulas
A model including covariates
Results
Discussion
Performance under pressure in skill tasks: An analysis of professional darts
Introduction
Performance under pressure
Terminology
Potential effects of pressure
Empirical findings for performance under pressure in skill tasks
Task features of the darts setting
Pressure situations in darts
Empirical analysis
Descriptive statistics
Modelling checkout performance
Discussion
Predicting play calls in the National Football League using hidden Markov models
Introduction
Data
Modelling and forecasting play calls
Results
Discussion
Summary and outlook
Betting fraud detection
Evaluation of in-game performance
Appendices
Further betting-related information
Details on Betfair
Betting volumes per team (Chapter 2)
List of fixed matches (Chapter 4)
Additional details on Chapter 4
Gradient boosting GAMLSS
Classification results for cut-off values chosen via the PPV
Additional results for Chapter 7
Coefficients in the model for Borussia Dortmund
Additional analysis of Hannover 96 data
Additional results for Chapter 8
Bibliography