How to Convert Rugby into Football/Soccer Scores

Following the Irish rugby team’s humiliating 60-0 defeat to New Zealand, an interesting question was posed on Twitter: what does a 60-0 result convert to in football/soccer? Intrigued, I decided to gather some data from both the English premier league (this season, more data collected and future … Continue reading →

Euro 2012: Day 18

As promised. Looks like a Spain Germany final. … Continue reading →

Euro 2012: End of Group Stage

Time for an update of the plots. Here are the teams still left in the competition. This is the group stratification. Finally, the busy plot. … Continue reading →

Euro2012 Viz: Second Group Games

The second round of group games ended last night (sadly with Sweden’s elimination). Here is what the last number of days has done to the plots. … Continue reading →

Visualizing Euro 2012: First Group Games

Now that every team has played a match it will be interesting to see how this has affected the (inverse) odds of victory. Since the plot in my last post was a bit ‘busy’, I have decided to use the facet_wrap function in gglplot2 to stratify by group. Also, re-producing the ‘busy’ plot from … Continue reading →

Simulating Euro 2012

Why settle for just one realisation of this year’s UEFA Euro when you can let the tournament play out 10,000 times in silico? Since I already had some code lying around from my submission to the Kaggle hosted 2010 Take on the Quants challenge, I figured I’d recycle it for the Euro this … Continue reading →

Visualizing Euro 2012 with ggplot2

After scanning this paper by Zeileis, Leitner & Hornik, I thought it would be interesting to see how the victory odds for each team changes as Euro 2012 progresses. To do this, I am going to collect the daily inverse odds of a tournament victory offered by a popular betting site for each … Continue reading →

ESPN Prediction Performance for the NFL

Description:ESPN 'experts' predict the National Football League wins/losses each week. The above chart shows the percentage of their correct guesses and an overall trend, week by week.Data:http://espn.go.com/nfl/picksAnalysis:The graph shows an interesting trend: the 'experts' get worse as … Continue reading →

Programming with R – Processing Football League Data Part II

Following on from the previous post about creating a football result processing function for data from the football-data.co.uk website we will add code to the function to generate a league table based on the results to date. To create the league table we need to count various things such as the … Continue reading →

Programming with R – Processing Football League Data Part I

In this post we will make use of football results data from the football-data.co.uk website to demonstrate creating functions in R to automate a series of standard operations that would be required for results data from various leagues and divisions. The first step is to consider what control … Continue reading →

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