Predicting the Top 5 Football Leagues Match Results – Part 1/2

Saurabh Singh

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Business Consultant

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Microsoft Office 365

Power BI

Python

It was the summer of fall of 2008 when I played PES 2009 for the first time. Now the actual game but the demo version which was included in the Digit magazine. There were just 6 playable teams about whom I knew nothing. Two years before that I had watched Zidane headbutt Materazzi in the FIFA 2006 final and I knew I liked the game of football. But one disadvantage of pre-internet Cricket crazy nation was that you wouldn’t know what’s happening in the world of sports. PES 2009 changed that for me. Since then I became a fan of Manchester United, because I played best with them among the 6 teams, and started following this lovely enthralling game which would be over in just 90 minutes. Twelve years, FIFA 11-20, countless elations, heartbreaks and nail-biting moments later, football remains one of my constants. And now I am merging my other two constants, analytics and marketing, to create a blog about the Top 5 Football Leagues Predictions.
La liga Prediction 15_12_2020 to 21_12_2020
EPL_Prediction 15_12_2020 to 21_12_2020
Bundesliga_Prediction 15_12_2020 to 21_12_2020
Serie_A_Prediction 15_12_2020 to 21_12_2020
Ligue_1_Prediction 15_12_2020 to 21_12_2020
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Posted Nov 1, 2023

Understanding what the Top 5 Football Leagues Prediction Model created via Python tells us about the possible outcomes of the football match.

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Business Analyst

Business Consultant

Content Writer

Microsoft Office 365

Power BI

Python

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