Blog List.

Pythagorean Articles


English Premier League Pythagorean.

Posted: 2014-11-04 19:30:00+00:00. | By: Martin Eastwood.

I’ve not posted this for a while so here is the latest Pythagorean for the English Premier League.

[Read More]

English Premier League Pythagorean Update.

Posted: 2014-04-04 19:30:00+01:00. | By: Martin Eastwood.

I’ve not posted an update on the Pythagorean for the English Premier League (EPL) for a while so the latest figures are below.

[Read More]

EPL 2013/2014: Football Pythagorean So Far.

Posted: 2014-01-20 19:30:00+00:00. | By: Martin Eastwood.

Welome back! Now that I'm no longer part of Onside Analysis I'm free to start blogging again so let's start off by taking a look at how my football Pythagorean is doing for the English Premier League so far this season.

[Read More]

How Early In The Season Can Pythagorean Predictions Be Made?.

Posted: 2013-01-02 19:30:00+00:00. | By: Martin Eastwood.

The next stage for developing my refined version of the Pythagorean equation is to characterise how many weeks of data it actually needs to make accurate football predictions...

[Read More]

Using the Pythagorean Expectation Across Leagues Wordwide.

Posted: 2012-12-10 19:30:00+00:00. | By: Martin Eastwood.

The next stage for my Pythagorean's development is to testing whether it can be applied to leagues outside the EPL. Having one Pythagorean equation that could be used globally is preferable to having to create specific equations for each league.

[Read More]

Applying the Pythagorean Expectation to Football: Part Two.

Posted: 2012-12-03 19:30:00+00:00. | By: Martin Eastwood.

Part two of guide to applying the baseball pythagorean to football.

[Read More]

Applying the Pythagorean Expectation to Football: Part One.

Posted: 2012-11-26 19:30:00+00:00. | By: Martin Eastwood.

Introduction to applying the baseball pythagorean to football.

[Read More]

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.

Social Links

Get In Touch

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