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jparker165 | 11 years ago
For example, the chance that a player plays at all (if they are in questionable health) is one of the most important signals. But you can't just write a regression from past data on that player/team/coach. An intuitive guess from reading several media reports will be far for accurate. This guy is surely manually entering a "%chance of playing" driver into these models.
But, if you teamed up with a subject matter expert that fed meta-predictions into your model, you'd likely end up with better results.
ioddly|11 years ago
It occurs to me that collating said data in an accessible format for a modest fee would be a pretty good low hanging fruit business idea. I'm sure there must be something like that out there but last time I looked into this, 2-3 years ago, I couldn't even get the NBA schedule in JSON or some other programming-friendly format, let alone things like injuries and lineup changes.
TylerE|11 years ago
http://en.wikipedia.org/wiki/STATS_LLC
"STATS LLC is a global sports statistics and information company – the company name originated as an acronym for "Sports Team Analysis and Tracking Systems". It was founded on April 30, 1981[1] by John Dewan,[2] who became the company's CEO. STATS was an outgrowth of the grassroots non-profit Project Scoresheet, a volunteer network created to collect baseball statistics, prompted by a suggestion made by Bill James, who later joined STATS for a time. In 1987, STATS developed a reporter network for Major League Baseball and provided research for NBC's postseason baseball coverage, and by 1989 was doing the same for ESPN's broadcasts.[1]"
Nicholas_C|11 years ago
Edit: After a quick Google search I found several data providers: http://www.quora.com/Are-there-any-APIs-with-game-schedules-...
JamesSwift|11 years ago