This project looks at the trends and successes of the Vancouver Canucks National Hockey League (NHL) team through time. This report includes three parts: 1. Statistics through time at the team-level 2. Modeling Vancouver Canucks power play success through time 3. Random Forest analysis to identify most influential metrics in determining whether a goal is scored in a given scenario, and determine the best shooter on the Canucks

In this project, we delve into the world of sports analytics by exploring the Pythagorean Expectation as a predictive tool for NHL team performance. Focusing on the 2022-2023 NHL season, we embark on a comprehensive analysis of the Pythagorean Expectation across all teams, and expand our investigation to encompass historical data from previous seasons. The ultimate goal is to assess the efficacy of this model by comparing its predictive capacity between the first and second halves of the ongoing season.