![]() The data assists coaches to identify weaker or stronger players. Its end goal is to help players with the better performance and the match winning strategy. Although Machine learning has taken all walks of life by storm, it is yet to make an impact in sports.ĭata analytics is focused on players’ performance both during the training and on the game day. Predictive modeling helps to do legacy analysis for the sports world. Health and other fitness-related activities are directly related to sports. Keywords: Machine learning adaptive feed forwarded neural network adaptive back propagation neural network cloud computing fetching The results are computed with 94% accuracy and the performance of the smart player is formulated for the success of a team. They can be retrieved anywhere in the world through cloud storage. The data is collected from football websites, and the results are stored in the cloud for fast fetching of data. In our proposed framework, the adaptive back propagation neural network (ABPNN) model is used for the prediction of a player’s performance. The statistics are very vital and useful for management, fans, and expert analysis. Machine learning (ML) based techniques help in predicting the performance of an individual player as well as for the whole team. The fans always want to know performance analysis of these superstar players and they always are interested to get to know more about their favorite player and they always have high hopes from their favorite player. The impact of a smart player on the success of a team is always a big question mark before the start of a match. Sports analytics not only predict the performance of players in the near future but it also performs predictive modeling for a particular behavior of a player in the past. These days, sports analytics identify the patterns in the performance and highlight strengths and weaknesses of potential players. In the past, the focus was on improved training techniques for better physical performance. The commercialization of sport has encouraged players, coaches, and other concerns to use technology to be in better position than r their opponents. Email: Received: 03 July 2020 Accepted: 03 August 2020Ībstract: The innovation and development in data science have an impact in all trades of life. Almotiri 2ġLahore Garrison University, Lahore, 54792, Pakistan 2Computer Science Department, Umm Al-Qura University, Makkah City, 715, Saudi Arabia *Corresponding Author: Muhammad Adnan Khan. ![]() Muhammad Adnan Khan 1, *, Mubashar Habib 1, Shazia Saqib 1, Tahir Alyas 1, Khalid Masood Khan 1, Mohammed A. Analysis of the Smart Player’s Impact on the Success of a Team Empowered with Machine Learning Computers, Materials & Continua DOI:10.32604/cmc.2020.012542Īnalysis of the Smart Player’s Impact on the Success of a Team Empowered with Machine Learning ![]()
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