It’s Spelt “Rouge:” Expected Points in U Sports

1. Abstract

For an existing database of U Sports play-by-play data five different models were created to look at Expected Points in U Sports football. The results of these models are presented, in addition to the results of the raw data, allowing the models to be compared to the raw data and against one another. Furthermore, extensive correlation graphs are presented to allow models to be assessed based on their effectiveness in predicting EP. The multi-layer perceptron model proves itself to be the most effective across all scenarios, followed by the gradient boosting and k-nearest neighbours models. The random forest and logistic regression models proved poor estimators of EP and are contraindicated for future use.

Appendix 2 to New Year, New Data: Additions to the Passes and Patterns Database

9. Appendix 2: List of CFL Games

The table here gives a list of all the games added to the CFL database from the 2018 season.

Appendix 1 to New Year, New Data: Additions to the Passes and Patterns Database

8. Appendix 1: List of U Sports Games

The table here gives a list of all the games added to the U Sports database from the 2018 season.