The European Football Championship is in full swing and, fittingly, I had the idea to develop a betting strategy for the upcoming Bundesliga season. Let´s analyze some historical data and develop a thesis. We will be using data from OpenLigaDB from 2009/10 to 2023/24 and explore statistics like the distribution of match outcomes, results by winning team, and scoring times.
In this post, the data is processed and visualized using Python, Plotly and Matplotlib. Our aim is to uncover trends and patterns that will be useful for a follow-up post on value betting strategies, focusing specifically on bets on more than 0.5 goals.
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