Recent Articles
In-depth analysis, analytics strategies, and platform updates from the ATSwins team.
NFL Player Prop Projection vs Sportsbook Line: An Analytical Guide
Discover how quantitative NFL player prop projections compare to sportsbook lines, how models estimate fair probabilities, and where value hides in data.
How to Find Positive EV College Football Player Props
Learn how to find positive EV college football player props by comparing player projections, probabilities, fair odds, and sportsbook lines.
College Football Player Prop Projection vs Sportsbook Line: How to Compare Them
Learn how to compare college football player prop projections with sportsbook lines using probability, matchup data, role changes, uncertainty, and fair-value analysis.
College Football Player Prop Prediction Model Explained
Learn how a college football player prop prediction model projects usage, matchups, game environment, probability, and fair lines for NCAAF player props.
College Football Player Prop Projections: How They Work
Learn how college football player prop projections use player usage, matchups, game scripts, simulations, and probability to estimate fair expectations.
MLB Player Prop Monte Carlo Simulation: How Sports Models Work
Discover how Monte Carlo simulations model MLB player props by running thousands of game scenarios to generate fair probabilities instead of flat projections.
How to Find Value in Pitcher Props: A Data Blueprint
Learn how to find value in pitcher props by projecting strikeouts, workload, matchups, and probability instead of relying on surface stats.
How AI Finds Value in MLB Player Props
Discover how machine learning models, pitch-level tracking data, and game simulations uncover hidden value in Major League Baseball player prop markets.
MLB Player Prop Fair Value Model: How It Works
Learn how an MLB player prop fair value model converts player projections into probabilities, fair odds, and disciplined market comparisons.