Abstract
The utilisation of statistical Indexing allows for the conceptualisation of methodology enabling statistical (sports) Indexing as an evaluation metric. Functionally, the statistical (sports) Index aids the football club within the evaluation of existing or potential footballers. The quantitative differential will compute the prescribed premium or discount towards the statistical test to their peers. The quantitative differential will be a function of the five isolated quantitative statistical parameters. Furthermore, qualitative premiums or discounts will be ascribed towards the base quantitative statistical premium or discount, namely discipline and injuries. The evaluation model will indicate the premium or discount of a goalkeeper as product of the player’s quantitative and qualitative metrics within the Barclays Premier League 2017/18 season. The statistical model’s function is to conceptualise the relative evaluation model, relative to the statistical (sports) Index. David De Gea has been identified as the randomly selected statistical test to prove the evaluation model, hence the model’s primary focus is the evaluation of a football goalkeeper. The statistical evaluation model assumes the law of one price is applicable, hence if the quantitative and qualitative metrics between footballers are identical, theoretically the footballers are ascribed an equal value. The data set encompassed within the conceptualisation of the evaluation model is sourced from Squawka. Squawka is perceived to be a top rated statistical data provider that licences its data from Opta, one of the world’s largest sports data collectors. The fundamental cognitive of the statistical evaluation model is to conceptualise a relative evaluation model incorporating statistical (sports) Indexing. If the evaluation model is deemed successful, the model is designed to be extrapolated to include all football positions, leagues and quantitative or qualitative metrics.
M.Com. (Investment Management)