Insights & Analysis
Expert analysis, strategies and insights to help you understand our prediction models
How Our NBA Title Simulations Work — 10,000 Seasons and a Predicted Bracket
Why forecasting a champion is a different problem from predicting one game — and how playing the rest of the season 10,000 times turns ratings into championship odds and a predicted playoff bracket, series by series.
Predixsport with Claude: Connector, API, or Download — Which Fits You
Three ways to put our probability distributions into your workflow. A pragmatic guide to the tradeoffs — chat-first MCP connector for Claude users, REST API for code, JSON/CSV download for one-off analysis.
How to Use Our Downloadable Predictions
Download full probability distributions as JSON or CSV and use them with AI assistants, fantasy sports analysis, prediction market research, agentic pipelines, and your own ML models.
Why Our AI Picks a Winner — Explainable Predictions in Plain Language
Every match analysis now shows the factors behind the model's pick, measured in win-probability points — computed from the network itself, not editorial opinion. How to read the card, and why it concedes points to the other side.
How Our Tennis Tournament Simulations Work — 20,000 Brackets at a Time
Why forecasting a champion is a different problem from predicting one match — and how playing the entire draw 20,000 times turns ratings into honest title odds.
AI Tennis Predictions on Telegram — What You Get Daily
See exactly what our Telegram channel sends you: winner probabilities, expected games, aces, double faults — plus full probability distributions one tap away.
How Our NBA Player Projections Work
Learn how our models generate full probability distributions for player points, rebounds, assists, and 3-pointers — and how to read the PDF and CDF charts.
How Our AI Prediction Models Work
Discover the complex machine learning algorithms and sports analytics that power our prediction engine, delivering accurate results across multiple sports.
Surface & Form Indices: Our proprietary metrics for tennis prediction
Discover the advanced analytics behind our tennis predictions: how surface-specific strength and form indices create more accurate forecasts for matches across different courts.
Understanding Probability Distributions in Sports Analytics
Learn how to read probability distributions and CDF charts. Understand expected values, outcome ranges, and over/under probabilities with interactive examples.
NBA ELO Ratings: Our Proprietary Team Strength Metrics
Discover how our proprietary ELO rating system captures team strength that league standings miss—including recent form, home court advantage, rest days, and injury impact.
How the NBA Has Changed Over 30 Years: A Data-Driven Analysis
Explore 28 seasons and 32,000+ games to discover the three-point revolution, declining home court advantage, and the dramatic rise in NBA scoring that's reshaping basketball.
Tennis ELO Ratings: Dynamic Player Strength Metrics
Learn how our tennis ELO system measures player strength dynamically—tracking tournament importance, match dominance, and performance metrics that ATP rankings miss.
Football ELO Ratings: Measuring Team Strength Across Europe
Learn how our proprietary football ELO system captures attack, defense, home/away performance, and momentum to measure team strength that league tables cannot reflect.
Football Glicko-2 Ratings: Uncertainty-Aware Team Strength
Discover how Glicko-2 goes beyond ELO by adding Rating Deviation and Volatility, providing confidence-aware team strength metrics for smarter football predictions.