RealGojira wrote:
I could see lots of interesting information being able to be mined from activity and rating data - not least of which being:
Coarse correlations of various rating types (puzzle, blitz, std, etc), esp if there is any objective tie to "real" rating sources, and play or training activity and their interrelations (if doing 100 puzzles in a day/week/month has any appreciable impact on other ratings, does 100 bullet games a day bring your std rating down , etc)
Is there any method (api or other) to be able to get information that could help with this kind of research work? any pointers to this or similar datasets would be appreciated!
thx!
There is a Developers Club which has people working with chess.com's API.
I could see lots of interesting information being able to be mined from activity and rating data - not least of which being:
Coarse correlations of various rating types (puzzle, blitz, std, etc), esp if there is any objective tie to "real" rating sources, and play or training activity and their interrelations (if doing 100 puzzles in a day/week/month has any appreciable impact on other ratings, does 100 bullet games a day bring your std rating down
, etc)
Is there any method (api or other) to be able to get information that could help with this kind of research work? any pointers to this or similar datasets would be appreciated!
thx!