Fenwick and Corsi in Army Hockey, Incorporating “Shot-Zones” and Rebounds into Weighted Shots
DOI:
https://doi.org/10.37266/ISER.2021v9i2.pp134-141Keywords:
Competitive Advantage, Analytics, Statistical DataAbstract
Competitive mindsets and incentives for winning within our society generate an environment that forces athletes and organizations to continuously seek new opportunities to gain a competitive advantage. The Moneyball strategy is a great example of team’s thinking outside the box to improve their chances of winning. This strategy is when teams utilize analytics to determine which players hold the most value. In other words, which player will perform the best while also being minimally expensive to acquire. Building upon the Moneyball strategy, teams across sports today are using statistical data and metrics to analyze all facets of their respective sports in hopes of acquiring this edge. First implemented in baseball, other sports such as basketball and hockey are following in their footsteps while attempting to overcome the obstacle of having less data. The growth of analytics in hockey shows that these strategies are finding their way into the hockey environment.References
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Found, Rob. (2016). Goal-based Metrics Better Than Shot-based Metrics at Predicting Hockey Success. The Sport Journal.
Gramacy, Robert & Taddy, Matthew & Jensen, Shane. (2013). Estimating Player Contribution in Hockey with Regularized Logistic Regression. Journal of Quantitative Analysis in Sports. 9. 10.1515/jqas-2012-0001.
JLikens. (2011, February 16). Shots, Fenwick and Corsi. http://objectivenhl.blogspot.com/2011/02/shots-fenwick-and- corsi.html.
Johns, G. (2004, October 17). Statistical Shot Quality Weighing. Hockey Analytics. http://hockeyanalytics.com/Research_files/Weighted_Shots.pdf.
Krzywicki, K. (2005, January). Shot Quality Model. http://www.hockeyanalytics.com/Research_files/Shot_Quality_Krzywicki.pdf.
Krzywicki, K. (2010, June). NHL Shot Quality 2009-10. http://hockeyanalytics.com/Research_files/SQ-RS0910- Krzywicki.pdf.
Macdonald, Brian. (2012a). Adjusted Plus-Minus for NHL Players using Ridge Regression with Goals,Shots, Fenwick, and Corsi. Journal of Quantitative Analysis in Sports. 8. 10.1515/1559-0410.1447.
Macdonald, Brian. (2012b). An Expected Goals Model for Evaluating NHL Teams and Players. Proceedings of the 2012 MIT Sloan Sports Analytics Conference.
Macdonald, Brian. (2012c). Adjusted Plus-Minus for NHL Players using Ridge Regression with Goals,Shots, Fenwick, and Corsi. Journal of Quantitative Analysis in Sports. 8. 10.1515/1559-0410.1447.
Macdonald, B., Lennon, C., & Sturdivant, R. (2012d). Evaluating nhl goalies, skaters, and teams using weighted shots. arXiv preprint arXiv:1205.1746.
Sheps, S. W. (2020). Corsi, Fenwick and Gramsci: How bloggers and advanced analytics are changing the National Hockey League - Stephen W Sheps, 2020. SAGE Journals. https://journals.sagepub.com/doi/10.1177/1012690219869192.
Published
2022-01-15
How to Cite
Krueger, M., & Enos, J. (2022). Fenwick and Corsi in Army Hockey, Incorporating “Shot-Zones” and Rebounds into Weighted Shots. Industrial and Systems Engineering Review, 9(2), 134-141. https://doi.org/10.37266/ISER.2021v9i2.pp134-141
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