Use of Performance Metrics to Forecast Success in the National Hockey League

@inproceedings{Weissbock2013UseOP,
  title={Use of Performance Metrics to Forecast Success in the National Hockey League},
  author={Joshua Weissbock and Herna Viktor and Diana Inkpen},
  booktitle={MLSA@PKDD/ECML},
  year={2013}
}
Predicting success in hockey is an important area of research which has received little attention in the sports data mining community. We are the first to propose a machine learning approach to forecast success in the National Hockey League. Our approach combines traditional statistics, such as goals for and against, and performance metrics such as possession and luck, in order to build a classification model. We construct several classification models with novel features such as possession and… CONTINUE READING

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