Artificial Intelligence · 07.08.2026, 16:25 UTC
Determining playoff clinching scenarios in the NHL using constraint programming
| Schweregrad | info |
|---|---|
| Kategorie | Artificial Intelligence |
| Quelle | AWS Machine Learning ↗ |
| Veröffentlicht | 07.08.2026 UTC |
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As the National Hockey League (NHL) regular season enters its final stretch each spring, one question dominates the minds of hockey fans: has my team clinched the playoffs? The answer is often surprisingly hard to discern. With 32 teams, complex tie-breaking rules, and hundreds of remaining games, determining whether a team is mathematically guaranteed a playoff spot is a serious combinatorial challenge. In this post, we describe how the AWS Generative AI Innovation Center created an automated system that determines NHL playoff clinching scenarios. Our approach uses constraint programming (CP) and custom tree search to produce these scenarios, and we validated the results against those officially published by the NHL. For more details, see our scientific paper. Background: what it means to clinch the playoffs A team has clinched the playoffs (or simply “clinched”) if it is guaranteed to make the playoffs regardless of the outcomes of any remaining games. As the season progresses, usually starting in March, the NHL publishes daily clinching scenarios for teams that could clinch based on that evening’s games. These scenarios take the form of statements like:
The Minnesota Wild will clinch the playoffs if any of the following holds: they get at least one point against the Anaheim Ducks, the St. Louis Blues lose to the Utah Hockey Club in any fashion, or the Calgary Flames lose to the Vegas Golden Knights in any fashion. Producing such scenarios manually has become increasingly time-consuming and error-prone as the league’s tie-breaking rules have grown more elaborate. …