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Wait, does it raise or lower in-game performance?
From there, FadeMeBets analyzes players’ metrics over their history in the WNBA and even in college. He tracks players’ stats over the course of a 24- to 38-day menstrual cycle, looking for dips and surges over the monthlong cycle. If someone is missing a lot of baskets at a certain time every month, he might assume they’re on their late luteal phase, citing a study that showed menstruating athletes self-reported worse performance during this time. He hasn’t asked any players directly about their cycles.
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That's amazing.
It makes sense that you could pick up "seasonality" as we might call it, but not necessarily know which season is which.
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Sounds like you found your new betting niche
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It sounds like I've been beaten to the punch.
I actually do have a neat econometricsy idea for an advanced analytics metric. I just need to take the time to scrape all the boxscore data.
I'm thinking that I'll do something similar to your research in public series once I get started.
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That would be neat. And I'm sure there would be a huge audience for open sports analytics
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