NHL Betting Model Development
Budget: $25 – $50 CAD
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.
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.