I am searching for resources on data science projects which used football/soccer data.
There's this website called Sportsdatamart which allows you to download CSV and XLS file formats for a number of Football series like the England Premier League, the Italian Serie A, the German Bundesliga and the Spanish La Liga.
On Football Data UK, you can find EXCEL and CSV data files to use for quantitative testing of betting systems in spreadsheet applications. League tables, head2head statistics and information on goalscrores, first scorers and top scorers could be accessed through the Livescore service.
Soccer Wiki is a collaborative database and anyone can create and edit data. This community driven database contains information on players, clubs, stadiums, managers, referees, leagues and other data related to the world of soccer.
If you are looking for data sets centered on European Football, check this out.
Check out the Github repositories for Christopher Long (octonion):
http://danielweitzenfeld.github.io/passtheroc/blog/2014/10/28/bayes-premier-league/ uses a bayesian approach on data taken from wikipedia (You can use any source in fact.)
It uses the following paper:
http://www.statistica.it/gianluca/Research/BaioBlangiardo.pdf Bayesian hierarchical model for the prediction of football/soccer results
Look at http://openfootball.github.io/ there are a lot of data for soccer South, North America, Europe and Asian is included