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  • Level: GCSE
  • Subject: ICT
  • Word count: 4303

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'.

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Introduction

Statistics Coursework - Football 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. 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 Collecting Data I found that football 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 important part of gambling Using Software I chose to input my data into Microsoft Excel 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 cards for each team at home and away. ...read more.

Middle

3. I then squared the differences between the two ranks. 4. I used the formula below to find rs, the Spearman's Rank Correlation Coefficient. My workings are illustrated in the table overleaf. rs = 1 - 6?d2 n3 - n Team % PPG Home Advantage Average % capacity %PPG Home Advantage Rank Average % Capacity Rank d d2 Manchester United 52% 99.16% 24 1 23 529 Tottenham Hotspur 63% 99.06% 19 2 17 289 Portsmouth 23% 98.72% 35 3 32 1024 West Ham United 10% 96.59% 41 4 37 1369 Birmingham City 53% 96.07% 22 5 17 289 Everton 81% 95.82% 10 6 4 16 Brighton 50% 95.56% 26 7 19 361 West Bromwich Albion 17% 95.46% 37.5 8 29.5 870.25 Liverpool 21% 95.33% 36 9 27 729 Norwich 100% 94.81% 4.5 10 -5.5 30.25 Wolverhampton -5% 90.25% 44 11 33 1089 Bolton Wanderers 93% 89.73% 8 12 -4 16 Hull City 68% 84.72% 16 13 3 9 Blackburn Rovers 31% 83.61% 29 14 15 225 Aston Villa 250% 81.87% 1 15 -14 196 Nottingham Forest 96% 79.85% 6.5 16 -9.5 90.25 Derby 60% 75.81% 20 17 3 9 QPR 24% 68.97% 34 18 16 256 Hartlepool United 66% 68.38% 17 19 -2 4 Northampton Town 79% 68.09% 11 20 -9 81 Crewe Alexandria -21% 67.04% 46 21 25 625 Rotherham United 27% 65.33% 31 22 9 81 Rushden & Diamonds 56% 65.26% 21 23 -2 4 Preston North End 90% 64.70% 9 24 -15 225 Watford 73% 64.45% 13 25 -12 144 Cheltenham Town 29% 62.85% 30 26 4 16 Grimsby 17% 58.65% 37.5 27 10.5 110.25 AFC Bournemouth 96% 58.37% 6.5 28 -21.5 462.25 Bristol City 52% 55.36% 24 29 -5 25 York City 75% 46.48% 12 30 -18 324 Boston United 105% 46.20% 3 31 -28 784 Chesterfield 185% 45.85% 2 32 -30 900 Shrewsbury Town 5% 45.70% 42 33 9 81 Colchester United 15% 44.83% 39.5 34 5.5 30.25 Milwall 44% 42.24% 27 35 -8 64 Barnsley 26% 42.09% 32.5 ...read more.

Conclusion

9 9 Tottenham Hotspur 10 10 Middlesbrough 11 11 Charlton Athletic 12 12 Birmingham City 13 13 Fulham 14 14 Leeds United 15 15 Aston Villa 16 16 Bolton Wanderers 17 17 West Ham United 18 18 West Bromwich Albion 19 19 Sunderland 20 20 Division 1 Team Rank (within division) Rank (overall) Portsmouth 1 21 Leicester 2 22 Sheffield United 3 23 Reading 4 24 Wolverhampton 5 25 Nottingham Forest 6 26 Ipswich 7 27 Norwich 8 28 Milwall 9 29 Wimbledon 10 30 Gillingham 11 31 Preston North End 12 32 Watford 13 33 Crystal Palace 14 34 Rotherham United 15 35 Burnley 16 36 Walsall 17 37 Derby 18 38 Bradford 19 39 Coventry 20 40 Stoke 21 41 Sheffield Wednesday 22 42 Brighton 23 43 Grimsby 24 44 Division 2 Team Rank (within division) Rank (overall) Wigan Athletic 1 50 Crewe Alexandria 2 45 Bristol City 3 61 QPR 4 64 Oldham Athletic 5 65 Cardiff City 6 49 Tranmere Rovers 7 58 Plymouth Argyle 8 46 Luton Town 9 67 Swindon Town 10 48 Peterborough United 11 56 Colchester United 12 51 Blackpool 13 60 Stockport County 14 52 Notts County 15 63 Brentford 16 57 Port Vale 17 53 Wycombe Wanderers 18 59 Barnsley 19 62 Chesterfield 20 66 Cheltenham Town 21 47 Huddersfield Town 22 54 Mansfield Town 23 68 Northampton Town 24 55 Division 3 Team Rank (within division) Rank (overall) Rushden & Diamonds 1 69 Hartlepool United 2 70 Wrexham 3 71 AFC Bournemouth 4 72 Scunthorpe United 5 73 Lincoln City 6 74 Bury 7 75 Oxford United 8 76 Torquay United 9 77 York City 10 78 Kidderminster Harriers 11 79 Cambridge United 12 80 Hull City 13 81 Darlington 14 82 Boston United 15 83 Macclesfield Town 16 84 Southend United 17 85 Leyton Orient 18 86 Rochdale 19 87 Bristol Rovers 20 88 Swansea City 21 89 Carlisle United 22 90 Exeter City 23 91 Shrewsbury Town 24 92 Page 1/19 ...read more.

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