PDF] Soft Computing-Based Result Prediction of Football Games

The current work concludes with the recommendation of soft-computing techniques as a powerful approach, either for the creation of result prediction models of diverse sport championships, or as effective data extrapolation mechanisms in case of limited available statistics. Soft computing methods for result prediction of football games based on fuzzy rules, neural networks and genetic programming techniques, are proposed in the article. The models are taking into account the following features of football teams: difference of infirmity factors; difference of dynamics profile; difference of ranks; host factor; personal score of the teams. Testing shows that the proposed models achieve a satisfactory estimation of the actual game results. The current work concludes with the recommendation of soft-computing techniques as a powerful approach, either for the creation of result prediction models of diverse sport championships, or as effective data extrapolation mechanisms in case of limited available statistics.

Applied Sciences, Free Full-Text

A public data set of spatio-temporal match events in soccer competitions

Top 5 Football Prediction Software

Sports match prediction model for training and exercise using attention- based LSTM network - ScienceDirect

Sports match prediction model for training and exercise using attention- based LSTM network - ScienceDirect

Sports match prediction model for training and exercise using attention- based LSTM network - ScienceDirect

Future Internet, Free Full-Text

Frontiers A Goal Scoring Probability Model for Shots Based on Synchronized Positional and Event Data in Football (Soccer)

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Predicting outcome of soccer matches using machine learning - PDF Free Download

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Top Prediction - Top, Best University in Jaipur, Rajasthan

PDF] A machine learning framework for sport result prediction

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