I use Python pandas to clean 10k+ rows of betting historical data, and it's free. I drop duplicate rows, fill missing values with the previous day's odds, and calculate implied probability from the moneyline.
The code fits in 20 lines, and it runs in 2 seconds on my AWS t2.micro instance. I export the cleaned data to CSV, and my betting bot uses it to find value bets.
If you're working with sports data, skip the paid tools. Pandas is free, powerful, and works on any system.
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