FOOTBALL MATCH WINNING TEAM PREDICTION USING MACHINE LEARNING

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Nishant Hulwan
Prof. Sachin chavan

Abstract

Football is the first well-known tournament within the world. The Federation Internationale de Football Affiliation (FIFA) is the institution that controls and directs this tournament and facilitates all the associations around the world, at both the proficient association and nation levels. The World Cup is the most significant sports competition in the world, which is held once every four years. The national groups play regional qualifiers organized by confederations. Those qualifiers decide the 32 groups that will advance to the final competition. FIFA makes the final draw for the game by vote, and the 32 groups apportioned into eight bunches of four. The beat two groups from several gathers move into the knockout stages (i.e., circular 16, quarter-finals, semi-finals and the ultimate)

 

 

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References

Sujit Nair, Varun Salian, Milind Dave, Piyush Kadve, PREDICTION OF RESULTS OF FOOTBALL MATCHES, International Journal of Research In Science & Engineering,2017.

Darwin Prasetio, Dra. Halili, Predicting football match results with logistic regression, 2016 International Conference on Advanced Informatics: Concepts, Theory, And Application (ICAICTA), 2016.

Norbert Danisik; Peter Lacko; Michal Farkas, Football Match Prediction Using Players Attributes, 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA),2018.

Erlandson F. Saraiva, Adriano K. Suzuki, Ciro A. O. Filh, Francisco Louzada Predicting football scores via Poisson regression model, Commun. Stat. Appl. Methods 2016; 23:297-319, 2016

M.C. Purucker Neural network quarterbacking

IEEE Potentials, 15 (1996), pp. 9-15

Nilay Zaveri, Utkarsh Shah, Prediction of Football Match Score and Decision Making Process, International Journal on Recent and Innovation Trends in Computing and Communication.

D. Prasitio, D. Harlili, Predicting football match results with logistic regression, in: Proceedings of the 2016 International Conference On Advanced Informatics: Concepts, Theory, And Application (ICAICTA), 16–19 Aug. 2016, Penang, Malaysia, 2016.

N. Tax, Y.P. Joustra Predicting the Dutch football competition using public data: A machine learning approach Trans. Knowl. Data Eng., 10 (10) (2015), pp. 1-13