Statistical Analysis & Simulation for Fantasy Football

Overview

Provide expert guidance on statistical methodologies and simulation techniques for fantasy football analytics. Apply appropriate regression methods, design Monte Carlo simulations, perform variance analysis, and conduct hypothesis tests using research-backed approaches.

When to Use This Skill

Trigger this skill for queries involving:

• Regression selection: "Should I use OLS or Lasso?" "When to use GAMs?" "Ridge vs Elastic Net?"
• Monte Carlo simulation: "How do I simulate rest-of-season?" "Calculate championship probability?" "Quantify trade impact?"
• Variance analysis: "Identify regression-to-mean candidates?" "Calculate confidence intervals?" "Prediction intervals?"
• Statistical testing: "Hypothesis test for performance trends?" "Is this improvement significant?"
• Aging curves: "Model non-linear age effects?" "GAMs for position-specific curves?"
• Uncertainty quantification: "Error bars on projections?" "Probability of outcomes?"

Note: For ML model selection and feature engineering, use ff-ml-modeling. For dynasty strategy domain knowledge, use ff-dynasty-strategy.