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Horse racing seems like a perfect candidate for the “big data” treatment: If more information about horses’ movements, their bodies and behavior were collected and analyzed, wouldn’t it be easier to handicap?
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Scooped by Luca Naso |
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The big-thinkers call that “messy data” because it’s difficult read, but that may be where racing should dig in, just as happened with baseball when some new metrics were introduced. “If you look at the things that actually count in the long run statistically, then you can predict much better"
When you are dealing with Big Data, it _always_ looks messy at the beginning.
You then need some Big Brains to turn the mess into a gold mine.