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Abstract: Over the last decade, the emergence of Data Analytics has been growing in everyaspect of our lives. And even more recently, it’s proven to be an important source in field ofsports, especially in Football. But the issue of being able to interpret with data still remains. Ifthe football club is presented with huge streams of numbers and data but lack the ability tointerpret them and derive insights and useful information, then the Data becomes almostpointless. In order to make better decisions, football teams need data, but they also needanalytics to make sense of it and derive insights and a visualization module to make use of thoseavailable data. To address this issue, this paper presents the brief implementation of Data invarious aspects of football, and it delves into a deeper analysis of how it could be benefitedfrom data driven decision in various aspects. This paper is classified into 3 major aspects –Financial aspect which includes player recruitment, scouting etc., Individual/Player aspect –involves analyzing an individual player, player performance etc., Tactical aspect – involvestactical analysis of the team using data. And also implement visualization modules to presentthese data. And the technique of web scraping is used to derive data from the open source.Therefore, this paper gives a brief implementation on Data in the above-mentioned aspects,and this would significantly improve the game in all those aspects, in terms of financially andimproving the performance on the pitch.