More very old, very dangerous sharks swimming in the same pool. Betting to win long term is not something most people are mathematically or emotionally equipped to do and a toy demonstration showing a handful of results means very little.
Great points. This was just a cool demonstration of the underlying technology hoping to inspire people to use it on their models in domains other than prop betting. Potentially it could help those sharks already swimming in these pools, but our goal is to help every expert in every field make better models.
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Baseball feels like a next step up. About 2,400 games a year. More games, data points.. more everything
More very old, very dangerous sharks swimming in the same pool. Betting to win long term is not something most people are mathematically or emotionally equipped to do and a toy demonstration showing a handful of results means very little.
Great points. This was just a cool demonstration of the underlying technology hoping to inspire people to use it on their models in domains other than prop betting. Potentially it could help those sharks already swimming in these pools, but our goal is to help every expert in every field make better models.
Great idea! You could reuse most of the code [1] to give this a shot. In future posts we may extend this to other sports as well.
[1]: https://github.com/sigopt/sigopt-examples