A Pattern Recognition and Performance Index Evaluation Model of Football Team based on Principal Component Analysis and PageRank Algorithm

Abstract

With the increasing knowledge integration and task complexity, individual ability demands a highly cohesive interdisciplinary team to amplify. To study the elements of successful team cooperation and explore valuable team strategies, this paper present a network pattern recognition model based on PageRank algorithm and principal component analysis method. Further, a team cooperation performance model based on group dynamic theory is built to capture the individual contribution and teamwork characteristic as a supplementary evaluation. By applying the model into football competition, we found our model has 73.68% accuracy, proving its outstanding adaptability. Based on the model, we can get the information of the inner network structure of a team, know the most significant contributors pertinent with team success, and make further justification plans and suggestions to achieve teamwork improvement.