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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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VAR, What is it Good For?.

Posted: 2019-08-22 19:30:00+01:00. | By: Martin Eastwood.

As Edwin Starr famously said, VAR, what is it good for? Well, let's find out...

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Opta Pro Forum 2018.

Posted: 2018-11-21 19:30:00+00:00. | By: Martin Eastwood.

I finally wrote about the presentation I gave at the Opta Pro 2018 Forum....

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Automated Feature Engineering.

Posted: 2018-05-25 19:30:00+01:00. | By: Martin Eastwood.

I recently gave a presentation on automated feature engineering at MancML....

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Deep Learning in R Using Keras.

Posted: 2017-09-11 19:30:00+01:00. | By: Martin Eastwood.

I recently gave a presentation at the Manchester R Users Group on Deep Learning in R using Keras....

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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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