@inpredict (Markov, using season-to-date performance to generate priors, which are updated as the match progresses. Mostly using https://t.co/2HYRCTRIN3 in R)
@adnosk@MikeMahoney218@mdsumner I just want to know where my data puddle fits into the scheme of silly descriptors. You know, nice size, not too deep, but a bit muddy and the odd data frog if you're not careful.
@mdsumner It's where you go to drown in data? Or maybe it's where your data holiday house is, with a data boathouse that has your data boat and you go data fishing.
@NateNgo1@TPwidd Oh, I totally agree. Kills per set is a terrible way to assess an attacker's ability to kill the ball, for all the reasons you mentioned! In some small defence of the NCAA stat board, though, it does provide hitting percentage, which is a better way of doing so.
@NateNgo1@TPwidd But e.g. kill percentage only measures a player's ability to kill the ball, and nothing about other outcomes (errors) nor about a player's impact on the game during non-ball-contact times. 6/7