Assessing the Impact of Shootouts on NHL Game Importance
A Simulation Approach
DOI:
https://doi.org/10.18060/28909Keywords:
hockey, National Hockey League, tournament, Monte Carlo simulation, game importance, competitive balanceAbstract
This study examines how structural and rules-based decisions in the National Hockey League (NHL) influence the competitive dynamics of its regular seasons, focusing on two critical measures: mathematical certainty and game importance. Using simulations of 15 NHL seasons (2000–01 to 2016–17, excluding seasons impacted by labor disputes) under varying conditions—including ties, shootouts, and a three-point standings system—this research quantifies how changes to reward structures affect the proportion of games played under mathematical certainty and the average game’s playoff significance. The results reveal that the NHL’s decision to shift from ties to shootouts has increased mathematical certainty, particularly under homogeneous competitive environments, and has slightly reduced average game importance. Conversely, adopting the three-point system used by the International Ice Hockey Federation (IIHF), which awards three standings points for regulation wins, enhances game importance and reduces mathematical certainty relative to the NHL’s current shootout system. These findings underscore the importance of carefully considering the unintended consequences of league design decisions, particularly as they pertain to fan engagement and competitive fairness.
References
Abrevaya, J. (2004). Fit to be tied: The incentive effects of overtime rules in professional hockey. Journal of Sports Economics, 5(3), 292-306.
Bradley, P. S., & Noakes, T. D. (2013). Match running performance fluctuations in elite soccer: indicative of fatigue, pacing or situational influences?. Journal of sports sciences, 31(15), 1627-1638.
Cisyk, J., & Courty, P. (2024a). An economic approach to sports injury policies. Journal of Sports Economics, 25(3), 388-419.
Cisyk, J., & Courty, P. (2024b). Sports injuries and game stakes: Concussions in the National Football League. Economic Inquiry, 62(1), 430-448.
Cisyk, J., Courty, P., & Kouhbor, A. (2025a). Are English Premier League Teams Paid Like Bureaucrats? An Incentive Analysis of Monetary Match Importance. Journal of Sports Economics.
Cisyk, J., Courty, P., & Kouhbor, A. (2025b). Foul Play: The impact of financial incentives on aggression in sports. Sports Economics Review, 100053.
Corona, F., Horrillo, J. D. D. T., & Wiper, M. P. (2017). On the importance of the probabilistic model in identifying the most decisive games in a tournament. Journal of Quantitative Analysis in Sports, 13(1), 11-23.
Easton, S. T., & Rockerbie, D. W. (2005). Overtime! Rules and incentives in the national hockey league. Journal of Sports Economics, 6(2), 178-202.
Elo, A. (1967). The Proposed USCF Rating System, Its Development, Theory, and Applications. Chess Life. August, XXII (8): 242–247.
Franck, E., & Theiler, P. (2012). One for sure or maybe three: Empirical evidence for overtime play from a comparison of Swiss Ice Hockey and the NHL. Jahrbücher für Nationalökonomie und Statistik, 232(3), 210-223.
Geenens, G. (2014). On the decisiveness of a game in a tournament. European Journal of Operational Research, 232(1), 156-168.
Goller, D., & Heiniger, S. (2023). A general framework to quantify the event importance in multi-event contests. Annals of Operations Research, 1-23.
Lahvička, J. (2013a). The impact of playoffs on season uncertainty in the Czech ice hockey Extraliga. Journal of Sports Economics, 16(7), 784-801.
Lahvička, J. (2013b). Using Monte Carlo simulation to calculate match importance: The case of English Premier League. Journal of Sports Economics, 16(4), 390-409.
Lei, X., & Humphreys, B. R. (2013). Game importance as a dimension of uncertainty of outcome. Journal of Quantitative Analysis in Sports, 9(1), 25-36.
Longley, N., & Lacey, N. J. (2016). The “Second” Season: The Effects of Playoff Tournaments on Competitive Balance Outcomes in the NHL and NBA. Journal of Sports Economics, 13(5), 471-493.
Longley, N., & Sankaran, S. (2004). The Effect of a Game’s Playoff Structure on the Strategic Behaviour of Its Participants: Comparing the National Hockey League with European Football Leagues. The Economics and Management of Mega Athletic Events, 105.
Longley, N., & Sankaran, S. (2005). The NHL's overtime-loss rule: Empirically analyzing the unintended effects. Atlantic Economic Journal, 33(1), 137-139.
Lopez, M. J. (2015). Inefficiencies in the National Hockey League points system and the teams that take advantage. Journal of Sports Economics, 16(4), 410-424.
Marek, P., Šedivá, B., & Ťoupal, T. (2014). Modeling and prediction of ice hockey match results. Journal of quantitative analysis in sports, 10(3), 357-365.
Pettigrew, S. (2014). How the West will be won: using Monte Carlo simulations to estimate the effects of NHL realignment. Journal of Quantitative Analysis in Sports, 10(3), 345-355.
Scarf, P. A., & Shi, X. (2008). The importance of a match in a tournament. Computers & Operations Research, 35(7), 2406-2418.
Schilling, M. F. (1994). The importance of a game. Mathematics Magazine, 67(4), 282-288.
Shmanske, S., & Lowenthal, F. (2007). Overtime incentives in the national Hockey League (NHL) more evidence. Journal of Sports Economics, 8(4), 435-442.
Steeger, G. M., Dulin, J. L., & Gonzalez, G. O. (2021). Winning and losing streaks in the National Hockey League: are teams experiencing momentum or are games a sequence of random events?. Journal of Quantitative Analysis in Sports, 17(3), 155-170.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Jeffrey Cisyk

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright to articles published in Sport Innovation Journal is retained by the author(s).