Welcome to Sportonometrics! A blog dedicated to discussing the important role in depth data and metric analysis and behavioural economics play in modern day sport. Sport nowadays is more dynamic than ever, statistical measurement techniques continue to expand and all possible quantitative variables are analysed to the nth degree.
Much like the corporate world, a player is analysed similarly to a division or segment in a Company, with KPI’s being set based on statistical data and applicable performance demanded to be exceeded on a consistent basis. If this segment requires improvement, it is replaced, hence the brutal nature of the trade.
The world of statistics is of great benefit to all sides of the industry. Internally, clubs and players can analyse their performance and predict future outcomes via multiple in depth analytical undertakings, while fans can engage in their favourite sports like they never have before. The “Moneyball” theory of historic data analysis being the key to sustained success as it most famously was to the 2002 Oakland Athletics, has been replaced by an overwhelming modern trend of emphasising live data. Why? The answer is simple…
In economics, a rightward shifting Production Possibility Frontier is a great example of this very scenario. The smaller any event can be broken down, the more inefficiencies can be targeted and amended to provide a greater capacity to achieve a higher output.
This blog will explore everything from current event analysis and predictions in a variety of different sports, to cross code case studies such as MJ, Bo Jackson and Israel Folau and what various metrics highlighted about their potential to succeed.
I hope you enjoy!
Much like the corporate world, a player is analysed similarly to a division or segment in a Company, with KPI’s being set based on statistical data and applicable performance demanded to be exceeded on a consistent basis. If this segment requires improvement, it is replaced, hence the brutal nature of the trade.
The world of statistics is of great benefit to all sides of the industry. Internally, clubs and players can analyse their performance and predict future outcomes via multiple in depth analytical undertakings, while fans can engage in their favourite sports like they never have before. The “Moneyball” theory of historic data analysis being the key to sustained success as it most famously was to the 2002 Oakland Athletics, has been replaced by an overwhelming modern trend of emphasising live data. Why? The answer is simple…
In economics, a rightward shifting Production Possibility Frontier is a great example of this very scenario. The smaller any event can be broken down, the more inefficiencies can be targeted and amended to provide a greater capacity to achieve a higher output.
This blog will explore everything from current event analysis and predictions in a variety of different sports, to cross code case studies such as MJ, Bo Jackson and Israel Folau and what various metrics highlighted about their potential to succeed.
I hope you enjoy!