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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 4 | Month- April 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

Predicting Football Match Results using Machine Learning

  Authors

  Shubham Patil,  Abhishek Kate,  Kaustubh Wavare,  Madhavi Gujar,  Gayatri Bachav

  Keywords

The aim of this project is to predict the outcome of football matches using the Random Forest algorithm.

  Abstract


Analysing statistics of football teams can help clubs predict their performance over a particular time frame. In this paper we use various machine learning algorithms to predict results of Premier League season 2021- 2022 for home/away win or draw and analyse the important attributes that impact the full-time result. Games routinely gather information on how the player has the play. The knowledge Is fed into an algorithm which is used by humans to pull games from its predictions of what players would see. Predictions help the manager of the squad to take the next step. By spotting weaknesses at the fighting team's defensive strategy, the weakness of a specific player or selecting the statistically most possible reaction to the move from past history, coaches might get an edge over their competition. We have done a comparative study between different machine learning algorithms and used the algorithm with the highest accuracy for our project. Key Words: Random forest ,Machine Learning etc.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2304812

  Paper ID - 234460

  Page Number(s) - g407-g414

  Pubished in - Volume 11 | Issue 4 | April 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shubham Patil,  Abhishek Kate,  Kaustubh Wavare,  Madhavi Gujar,  Gayatri Bachav,   "Predicting Football Match Results using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.g407-g414, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT2304812.pdf

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Call For Paper April 2026
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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