Just like every season, I am excited to share my experiences with using different betting models. This year, I have been particularly focused on my ensemble model, which incorporates a diverse range of data and algorithms. Over the first three months of the season, I placed numerous bets, and now I want to take a closer look at the outcomes. I aim to share my insights and analyses regarding these bets. Let’s delve into the realm of sports betting together and explore what we can learn from these initial months.
Continue reading “Season 2023/24 – Comparing my Mollybet bets with my Ensemble model”Scraping FBRef xG data with Python
In the realm of sports analytics, FBRef has recently unveiled an essential update: the availability of Expected Goals (xG) data for previously uncovered divisions. This pragmatic addition opens doors to nuanced insights, particularly valuable in the world of sports betting. In this blog post, I pragmatically explore these developments. Using Python and adept web scraping techniques, I dissect this fresh data.
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Beat the Bookie 