Football Player Performance analysis using data mining algorithms

Predicting and analysing the performance of football players is interesting to many, from fans to viewers. Moreover, the analysis of player's performance can serve for match outcomes, e.g., in coaching to understand the effects of strategies and tactics or to derive insights in improving performance. Also, it is often decisive for trainers and analysts to understand the impacts of implementing various strategies in the game. Analysing player performance is a challenging problem as it involves expert knowledge and understanding of the nuances of a fiercely competitive sport such as football. However, using appropriate data mining techniques will assist in obtaining better accuracy of player performance. To mitigate this problem, the data mining algorithm has been the latest set of tools to predict and assess the accuracy of player performance. Use the given dataset to pre-process and apply data mining techniques for football player analysis. To perform the practical output, you may use SAS programming or data warehousing tool (orange).

Dataset Details. You may select players_20 or any other from given excel file

kaggle dataset stefanoleone992-fifa-20-complete-player-dataset

Discuss any FIVE (5) problems associated with a football player performance prediction given data mining techniques are not in use. (10 marks)