NHL Betting Model Development
hr CAD 25–50
About the project
I'm looking for an experienced data analyst to help me develop a predictive betting model for NHL games. The goal is to generate fair probabilities for mainline game outcomes: Win/Loss, Total Goals Scored, and Puckline -1.5 / +1.5. Key Components: - Data Sources: - Historical game results - Player performance stats - Team statistics - Desired Outcomes: - Fair probabilities for the specified game outcomes - Statistical Methods: - Regression analysis - Machine learning algorithms - Bayesian statistics Ideal Skills and Experience: - Strong background in sports analytics, particularly in hockey - Proficiency in statistical modeling and data analysis - Experience with machine learning and Bayesian methods - Ability to communicate complex data insights clearly Looking for a roadmap to approach this data problem effectively. Please share your relevant experience and approach.
Skills required
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