Euro 2016 Squads Part Deux

Between some of the games I had a go at replicating a plot from liberation.fr on the connections between Euro 2016 players and the country of birth using the circlize package in R. As with the previous post, the colours are based on the home shirt of each team and data scraped from Wikipedia. The values in the parenthesis represent the total number of players born in the respective country, which dictates their ordering around the circle. It is interesting to see just how many players represent countries that they were not born in. Only Romania has a 23 man squad completely full of players born in the country and no other Romanian born players representing other nations.

plot_circle2

I also modified some the my ggplot2 mapping code in my previous post to plot the links between players place of birth and the capital city of their national team: plot_pob1Click on the images if you want to explore. Here is an expanded view to illustrate all the longer distance relationships: plot_pob2All the code is up on my Github.

Football Predictions: Season 2012-13

Wow. Completely forgot about this, found the old spreadsheet shifting through my Google Drive this morning. Looks like Dave won by the narrowest of margins, fending of James, Rich and Amos were inseparable… and Bernie had a shocker, cricky mate! Seems like the centre of predictive power still lies in the Murry Building. Most defiantly going do a big World Cup comp. Spread the word. Love. Guy.

Football Predictions: Season 2010-11

Season over. Results are in the table below. Congrats to Amos, the clear winner, who predicted the correct order of the Premiership 1-4. Amazing. Commiserations to Bernie.

At the top of the table are the weights given to each prediction category.

Lowest score wins, where:
*Scores for league places is calculated by multiplying the weight by the difference in the final and predicted finishing places.
*Scores for cup competitions is calculated by multiplying the weight by the number of wins away the chosen team was from winning the cup.
*Scores for Golden Boots are calculated by multiplying the weight by the number of goals the chosen player is away from the top scorers tally.

Football Predictions: 2010 World Cup

The world cup is over, and I have updated prediction table (see final version below). Well done to Tom who correctly predicted the final. Hard luck to Dave C. who would have won if Tom was 1) patriotic (and actually supported England) and 2) did not make his golden boot prediction a week into the tournament. However, given that these predictions are based on a FIFA tournament, its logical that no action is taken against those who do not play by the rules correctly. Congratulations Tom.

Scoring system:

Lowest points total wins. Points calculated from each category as such:

Winner: 10 x No of wins away from predicted team becoming champions.
Runner: Up 7 x No of wins/losses away from predicted team becoming runner up.
Semi Final: 3 x No of wins/losses away from predicted teams loosing in Semi Finals.
Quarter Final: 1 x No of wins/losses away from predicted teams loosing in Quarter Finals.
Own Team: 7 x No of wins/losses away from own teams predicated finish.
Golden Boot: 5 x No of goals your chosen player is away from the top scorers tally.
Fair Play: -5  If you correctly predict the fair play team.

Tie breaks decided by own team predictions, then alphabetical order.