Football Statistics Project Introduction ———— I have chosen to base my project on football statistics because they are both readily available and interesting enough for deep analysis. As a starting point I decided to look at the generally accepted theory of ‘Home Advantage’.
Home advantage, or the tendency for the home team to do better than they would away, could have several causes. It could be partly psychological – the home team would almost always have the majority of the crowd behind them, cheering them on. It could also be to do with the condition of the pitch – Premiership teams sometimes find it hard to play on muddy, waterlogged pitches of some lower-division teams. Another factor is the attitudes of referees and officials. Because they are intimidated by the home crowd they often give decisions in favour of the home team, meaning teams may also have a worse disciplinary record when playing away.Order now
Hypotheses: 1. Teams have a worse disciplinary record away than at home 2. Better attended teams have a greater home advantage 3. More successful teams have a better disciplinary record IMAGECollecting Data I found that statistics were easy to find on the internet. I obtained mine from two main sites: http://soccer-stats. football365.
com http://www. bettingzone. co. uk There is a very small risk that some of the data I collected could be incorrect. However, I have found alternate sites for the Premiership statistics (such as www. 4thegame.
com) which gave the same results. I also think that a betting site must give accurate statistics because they are such an of gambling Using Software I chose to input my data into because it makes it much quicker and easier to manipulate the data. Hypothesis 1 – Teams have a worse disciplinary record away than at home —————————————————————— Discipline ‘points’ system On the internet I was able to find out the numbers of red and yellow