Predicting classification according to playing lines using artificial neural networks in light of the skill capabilities of football players

Abstract

The current research aims to build an artificial neural network model to help football coaches classify players according to playing lines (defense, midfield, attack) based on their skill capabilities. To achieve this goal, the researchers used the descriptive approach, specifically the design of cross-sectional survey studies, and data from a sample of football players in secondary schools in the center of Diwaniyah Governorate, consisting of (80) players, were used to train a model based on a multi-layer neural network to predict the classification of players according to playing lines. The model predicted the classification of players correctly by (96.4%) for the training sample and by (91.7%) for the test sample.