Every predictive model, player segmentation tool, or fraud detector in gambling and gaming depends on data. But raw data isn’t ready to use out of the box. If it’s not cleaned, normalized, and checked for bias, even the best algorithms will return flawed results. This post walks through practical steps for managing data sources correctly—especially when handling behavioral… Continue reading Data Sources: Cleaning, Normalizing, and Avoiding Bias
Category: Bet on Sports
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Season-Long Strategy: Adjusting Models Month by Month
In betting and fantasy markets, long seasons create a moving target. A model that performs well in Week 1 may be misfiring by Week 10. Injuries, rotations, weather, motivation, and market reaction all shift over time. Building a season-long strategy means knowing how to adjust models month by month—without overfitting or throwing out core edges. This post lays… Continue reading Season-Long Strategy: Adjusting Models Month by Month