Welcome to

Pena.lt/y

Pena.lt/y is a website dedicated to football analytics - take a look at the blog or get in touch to find out more!

About Pena.lt/y

Pena.lt/y is the home of Martin Eastwood's research into football analytics. Areas of interest for the pena.lt/y site include the application of statistics and data science to transfers and player analytics, predictive modeling of goals, fixture results and much more.


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Open Source

Too much analysis is carried out behind closed doors using 'proprietary' algorithms, hindering the advancement of football analytics. Whenever feasible, the code powering pena.lt/y analyses are open-sourced and made freely available on GitHub.


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Quality Control

Analysing football data correctly requires more than just sticking it into Excel and plotting a trend line through it. Mathematical models need validating, assumptions need checking and out-of-sample testing is required. Pena.lt/y is all about carrying out robust analyses correctly.


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POPULAR ARTICLES

Mathematically optimise your fantasy football team

Massey Ratings For Football: Part Two

Massey Ratings For Football: Part One

Predicting Football Using R

Expected Goals: Foot shots Vs Headers

Understanding Total Shots Ratio

Understanding Elo Ratings: Part Two

Understanding Elo Ratings: Part One

Applying the Pythagorean Expectation to Football: Part Two

MLS Player Salaries

More About Pena.lt/y

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


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Martin Eastwood is an experienced data scientist with an interest in sports analytics. Through pena.lt/y, he has provided consultancy and guidance on analytics to a number of key stakeholders within the football industry. Martin has also written and maintains a number of open-source software libraries for a range of languages including R, Python and C++.


Martin Eastwood

DATA SCIENTIST

About

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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Get In Touch

You can contact pena.lt/y through the website here