
DataPlay Bets is a pre-match football betting project powered by data science.
Built entirely in Python with Pandas and statistical modeling, it analyzes odds,
league patterns, and match context to find profitable opportunities before kickoff.
Over the past two years, I’ve developed and validated more than 20 profitable models,
all rigorously backtested on 100,000+ matches from leagues worldwide.
Each model runs through a pipeline of data cleaning, feature engineering, probability estimation,
and post-processing filters. I use statistical distributions, custom filters, and real performance
metrics to track results and refine strategies.