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Estimating Goal Expectancy From Bookmaker's Odds.

Posted: 2022-12-02 19:30:00+00:00. | By: Martin Eastwood.

This article walks through how to estimate goal expectancies from bookmaker's odds using Python...

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Penaltyblog Python Package Updated to v0.5.1.

Posted: 2022-11-04 19:30:00+00:00. | By: Martin Eastwood.

My penaltyblog python package has been updated to v0.5.1 to include new Bayesian football (soccer) models and web scrapers...

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Ten Years of pena.lt/y/blog.

Posted: 2022-10-18 19:30:00+01:00. | By: Martin Eastwood.

It's been ten years since I started this blog...

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Scraping Football Data Using the penaltyblog Python Package.

Posted: 2022-08-05 19:30:00+01:00. | By: Martin Eastwood.

This article shows how to use the penaltyblog python package to scrape football data...

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Predicting Football Results Using Bayesian Modelling with Python and PyMC3.

Posted: 2021-08-25 19:30:00+01:00. | By: Martin Eastwood.

This article looks at how to predict football results using a Bayesian hierarchical model built in Python and PyMC3...

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Predicting Football Results Using Python and the Dixon and Coles Model.

Posted: 2021-06-24 19:30:00+01:00. | By: Martin Eastwood.

Building on the last article, we upgrade our Poisson model with the Dixon and Coles adjustment and time decay...

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Predicting Football Results With the Poisson Distribution.

Posted: 2021-06-18 19:30:00+01:00. | By: Martin Eastwood.

A tutorial about predicting football results using Python and the Poisson distribution...

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Which Young Players Will be Stars?.

Posted: 2021-05-19 19:30:00+01:00. | By: Martin Eastwood.

Using my Player Ratings model to identify the best footballing prospects...

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Predicting Player Career Trajectories.

Posted: 2021-05-03 19:30:00+01:00. | By: Martin Eastwood.

Predicting what player's potential career trajectories look like...

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Sharing xG Using Multi-touch Attribution Modelling.

Posted: 2019-11-23 19:30:00+00:00. | By: Martin Eastwood.

Reattributing xG using multi-touch attribution modelling...

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Pena.lt/y is a site dedicated to football analytics. You'll find lots of research, tutorials and examples on the blog and on GitHub.

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