Numbers on Ice: Predicting the Stanley Cup with Data

Publication Date

2026

Presentation Length

15 minutes

College

Jack C. Massey College of Business

Department

Economics and Finance

Student Level

Undergraduate

Faculty Mentor

Dustin Rumbaugh

Presentation Type

Talk/Oral

Summary

This presentation will explore how data can be used to predict the outcome of a Stanley Cup playoff bracket. Using past data from the National Hockey League, I will create a regression model to identify which factors best explain team success. Key variables will include regular season wins, goals scored, goals allowed, and overall team performance.

I will then use this model to predict the results of each round in a simulated playoff bracket and determine a projected Stanley Cup winner. This project will demonstrate how statistics and real data can be applied to sports, while also recognizing that upsets and unexpected outcomes are always possible. Overall, it will highlight both the usefulness and limitations of using data to predict results in a fast-paced and unpredictable sport like hockey.

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