APBRmetrics

If people that want the old RAPM back had said so when I started working with priors I'd have an easier time following their arguments. Or if they wanted the vanilla RAPM back, not RiRAPM. The reason is this: Once you start working with priors you have to ask yourself what you want to use as a prio...

RAPM attmpts to tackle this problem with ridge regression, but depending on the chosen Tikhonov matrix there is a certain level of bias introduced in the data, so that whilst out-of-sample prediction is improved, the inherent bias means that fair player comparison becomes tricky. By choosing improv...

I feel like pointing out that RAPM is biased by design, so whilst it may not suffer the same lack of completeness as the box-score it is biased in another way. I think the aim should be to minimize our errors in explaining future outcomes, and not worry so much about the 'purity' of our results. A ...

My main goal is to build a metric that is best at forecasting future offensive efficiency; It is my belief that this is equivalent with building a metric that gives the most accurate player ratings. My goal is not to build a metric that further needs to be combined with other metrics. Especially be...

This new metric consisting of recursively informed RAPM+BoxScoreRating is now on my website as "xRAPM" and has replaced RAPM There are full lists of players for each year, like here http://stats-for-the-nba.appspot.com/ratings/2007.html and team pages with player ratings of '13, like this...