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Quantifying the Contribution of NHL Player Types to Team Performance

Author

Listed:
  • Timothy C. Y. Chan

    (Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada)

  • Justin A. Cho

    (Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada)

  • David C. Novati

    (Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada)

Abstract

In this paper, we use k -means clustering to define distinct player types for each of the three positions on a National Hockey League (NHL) team and then use regression to determine a quantitative relationship between team performance and the player types identified in the clustering. Using NHL regular-season data from 2005–2010, we identify four forward types, four defensemen types, and three goalie types. Goalies tend to contribute the most to team performance, followed by forwards and then defensemen. We also show that once we account for salary cap and playing-time information, the value of different player types may become similar. Lastly, we illustrate how to use the regression results to analyze trades and their impact on team performance.

Suggested Citation

  • Timothy C. Y. Chan & Justin A. Cho & David C. Novati, 2012. "Quantifying the Contribution of NHL Player Types to Team Performance," Interfaces, INFORMS, vol. 42(2), pages 131-145, April.
    • Handle: RePEc:inm:orinte:v:42:y:2012:i:2:p:131-145
    DOI: 10.1287/inte.1110.0612
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    References listed on IDEAS

    as
    1. John D. Burger & Stephen J. K. Walters, 2003. "Market Size, Pay, and Performance," Journal of Sports Economics, , vol. 4(2), pages 108-125, May.
    2. Beaudoin, David & Swartz, Tim B., 2010. "Strategies for Pulling the Goalie in Hockey," The American Statistician, American Statistical Association, vol. 64(3), pages 197-204.
    3. Armann Ingolfsson, 2004. "Simulating NHL Games to Motivate Student Interest in OR/MS," INFORMS Transactions on Education, INFORMS, vol. 5(1), pages 37-46, September.
    4. Claudio Lucifora & Rob Simmons, 2003. "Superstar Effects in Sport," Journal of Sports Economics, , vol. 4(1), pages 35-55, February.
    5. Thomas Andrew C, 2006. "The Impact of Puck Possession and Location on Ice Hockey Strategy," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 2(1), pages 1-19, January.
    6. Alan Washburn, 1991. "Still More on Pulling the Goalie," Interfaces, INFORMS, vol. 21(2), pages 59-64, April.
    7. J. Jones & S. Nadeau & W. Walsh, 1997. "The wages of sin: Employment and salary effects of violence in the national hockey league," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 25(2), pages 191-206, June.
    8. Vincent Claude B & Eastman Byron, 2009. "Defining the Style of Play in the NHL: An Application of Cluster Analysis," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(1), pages 1-23, January.
    9. Martin B. Schmidt & David J. Berri, 2001. "Competitive Balance and Attendance," Journal of Sports Economics, , vol. 2(2), pages 145-167, May.
    10. repec:ucp:bkecon:9780226253268 is not listed on IDEAS
    11. Donald G. Morrison & Rita D. Wheat, 1986. "Misapplications Reviews: Pulling the Goalie Revisited," Interfaces, INFORMS, vol. 16(6), pages 28-34, December.
    12. Cochran James J & Blackstock Rob, 2009. "Pythagoras and the National Hockey League," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(2), pages 1-13, May.
    13. J. Colin & H. Jones & Serge Nadeau & William Walsh, 1999. "Ethnicity, productivity and salary: player compensation and discrimination in the National Hockey League," Applied Economics, Taylor & Francis Journals, vol. 31(5), pages 593-608.
    14. Charles Fleurent & Jacques A. Ferland, 1993. "Allocating Games for the NHL Using Integer Programming," Operations Research, INFORMS, vol. 41(4), pages 649-654, August.
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    Cited by:

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    2. Michael J. Fry & Jeffrey W. Ohlmann, 2012. "Introduction to the Special Issue on Analytics in Sports, Part I: General Sports Applications," Interfaces, INFORMS, vol. 42(2), pages 105-108, April.
    3. Justin J. Boutilier & Timothy C. Y. Chan, 2023. "Introducing and Integrating Machine Learning in an Operations Research Curriculum: An Application-Driven Course," INFORMS Transactions on Education, INFORMS, vol. 23(2), pages 64-83, January.
    4. Miquel Carreras-Simó & Jaume García, 2022. "Offensive/Defensive Talent and Sporting Success in Football: Evidence From the Big Five European Leagues," Journal of Sports Economics, , vol. 23(3), pages 251-276, April.
    5. Pantuso Giovanni, 2017. "The Football Team Composition Problem: a Stochastic Programming approach," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(3), pages 113-129, September.

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