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Dr Ian G. McHale
Reader in Statistics
Business School
The University of Salford

Biography:
Dr. Ian McHale is Reader in Statistics and Director of the Centre for Sports Business in Salford Business School. He is Chair of the Statistics in Sports Section of the Royal Statistical Society and Associate Editor of the Journal of Quantitative Analysis in Sports and a journal of the American Statistical Association. Ian has published research in top-rated peer reviewed journals on forecasting in sport, ranking in sport and gambling related issues. He has worked on several high-profile consultancy projects, including the creation of the EA Sports Player Performance Index, the Official Player Rating System of the Barclays Premier League.

Qualifications:
B.Sc.(Liverpool), Ph.D.(Manchester), Investment Management Certificate.

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Latest Additions

  1. A mixed effects model for identifying goal scoring ability of footballers
  2. A dynamic paired comparisons model: Who is the greatest tennis player?
  3. A mixed effects model for identifying goal scoring ability of footballers
  4. To lead or not to lead: Analysis of the sprint in track cycling
  5. A modified Duckworth–Lewis method for adjusting targets in interrupted limited overs cricket
  6. Forecasting exact scores in National Football League games
  7. On the development of a soccer player performance rating system for the English premier league
  8. How good is Tiger Woods?
  9. Playing the lottery with a little bit of stats know-how
  10. Ranking football players
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Most Viewed Items

Item titleViews
1A Bradley-Terry type model for forecasting tennis match results1204
2Forecasting exact scores in National Football League games935
3Maintaining market position: Team performance, revenue and wage expenditure in the English Premier League930
4On the development of a soccer player performance rating system for the English premier league928
5Anyone for tennis (betting)?925
6Modelling the dependence of goals scored by opposing teams in international soccer matches910
7Modelling the probability distribution of prize winnings in the UK national lottery: consequences of conscious selection776
8Ranking football players704
9Investigating the behavioural characteristics of lottery players using a combination preference model for conscious selection687
10Assessing the fairness of the golf handicapping system in the UK683