# english premier league (blogs) — RSS Amplifier Recent posts from the 2 feeds in the RSS Amplifier directory that cover english premier league. Page: Feed: --- ## [Hello, World Cup 2026!](http://openfootball.github.io/2026/06/17/hello-worldcup.html) _2026-06-17 · football.db - Open Football Data_ Long time no news. Let’s restart and celebrate the World Cup 2026 kick-off in Mexico, the United States and Canada. ## [Penaltyblog v1.11.0: Faster Batch Predictions, Neutral Venue Support, a Pretrained xT Model, and Faster Weibull Copula Fits](https://pena.lt/y/2026/06/09/penaltyblog-1.11.0/) _2026-06-09 · Martin Eastwood · penaltyblog_ Penaltyblog v1.11.0 adds batch predictions across the goal-model API, neutral venue support, a pre-trained xT model, faster Weibull Copula fitting, and makes the documentation available through Context7 MCP... ## [Why I Wrote My Own MCMC Sampler for Penaltyblog](https://pena.lt/y/2026/01/08/bayesian_goal_models/) _2026-01-08 · Martin Eastwood · penaltyblog_ I've added a native, dependency-free Bayesian engine to penaltyblog, powered by a custom Cython MCMC sampler to make quantifying uncertainty fast and frustration-free... ## [Introducing the Opta API Connector for matchflow](https://pena.lt/y/2025/11/30/matchflow-opta-statsperform/) _2025-11-30 · Martin Eastwood · penaltyblog_ Streamline your football data pipelines with direct, hassle-free Opta API integration for matchflow... ## [Shrinkage, Uncertainty, and Son Heung-min: Using Bayesian Methods to Identify Finishing Ability](https://pena.lt/y/2025/10/01/a-better-way-to-measure-finishing-skill/) _2025-10-01 · Martin Eastwood · penaltyblog_ Why most finishing metrics are flawed and how a Bayesian approach gives us a truer picture of a player's finishing ability... ## [From Biased Odds to Fair Probabilities: Removing the Bookmaker's Overround](https://pena.lt/y/2025/09/14/from-biased-odds-to-fair-probabilities/) _2025-09-14 · Martin Eastwood · penaltyblog_ A simple guide to stripping the overround and finding the real probabilities behind the bookmaker's odds... ## [Penaltyblog v1.5.0: Faster Models, Smarter Queries, and a Sharper Edge](https://pena.lt/y/2025/08/14/penaltyblog-1.5.0/) _2025-08-14 · Martin Eastwood · penaltyblog_ v1.5.0 delivers interactive charts, faster models, upgraded football probability grid, and a powerful Flow query language - all designed to make your analysis sharper and quicker... ## [How Accurate Are Soccer Odds? A Data Dive into 250 Million Betting Lines](https://pena.lt/y/2025/07/16/how-accurate-are-soccer-odds/) _2025-07-16 · Martin Eastwood · penaltyblog_ A data-driven deep dive into how accurately bookmakers price global soccer markets... ## [MatchFlow 1.4.0: Optimizing, Visualizing, and Validating your Data Pipelines](https://pena.lt/y/2025/06/10/matchflow-1.4.0/) _2025-06-10 · Martin Eastwood · penaltyblog_ MatchFlow just got smarter, friendlier, and more powerful for optimizing your pipelines, visualizing your data flow, and keeping your data clean... ## [Introducing MatchFlow: a JSON-native query engine for football data.](https://pena.lt/y/2025/05/25/matchflow-introduction/) _2025-05-25 · Martin Eastwood · penaltyblog_ MatchFlow is a JSON-native query engine for football data - no flattening, no fuss... ## [Try Before You Buy, Risk-Free (Sponsored)](https://crawlproof.com/a/MPzzs0nUUpus) _2025-05-25 · **Sponsored**_ Free trial hosting plus refunds processed in 12-24 hours, guaranteed. ## [Better Metrics for Football Forecasts: Moving Beyond the Ranked Probability Score](https://pena.lt/y/2025/05/01/better-metrics-for-football-forecasts-moving-beyond-the-ranked-probability-score/) _2025-05-01 · Martin Eastwood · penaltyblog_ Why the Ranked Probability Score might be misleading your football model evaluations, and what to use instead.... ## [Pi Ratings: The Smarter Way to Rank Football Teams](https://pena.lt/y/2025/04/14/pi-ratings-the-smarter-way-to-rank-football-teams/) _2025-04-14 · Martin Eastwood · penaltyblog_ A smarter, football-focused alternative to Elo — using Pi Ratings to track team strength and predict matches... ## [Football Prediction Models: Which Ones Work the Best?](https://pena.lt/y/2025/03/10/which-model-should-you-use-to-predict-football-matches/) _2025-03-10 · Martin Eastwood · penaltyblog_ Comparing football goals models — Poisson, Dixon-Coles, and more — to see which predicts best and how to optimize them... ## [Calculating Expected Threat in Python Using Linear Algebra](https://pena.lt/y/2025/01/08/calculating-expected-threat-in-python-using-linear-algebra/) _2025-01-08 · Martin Eastwood · penaltyblog_ This article walks through how to calculate expected threat in Python using linear algebra instead of the original convergence method...