APBRmetrics

- Jordan/Kemp/Malone/Olajuwon. Obviously this '97-onwards data isn't covering their entire careers. Kemp, certainly, wasn't great anywhere but in Seattle. Jordan wasn't quite as good with the Wizards, etc These arguments are null since it's obvious you didn't factor everyone's age back in after adj...

- Jordan/Kemp/Malone/Olajuwon. Obviously this '97-onwards data isn't covering their entire careers. Kemp, certainly, wasn't great anywhere but in Seattle. Jordan wasn't quite as good with the Wizards, etc These arguments are null since it's obvious you didn't factor everyone's age back in after adj...

League average adjustment.
Play position adjustment like guard - forward - center or 1 - 2 - 3 - 4 - 5.
Per-game ranking adjusted by pace (different than per100 poss) with a games played cutoff instead of total (in the case of Vorp).

This should provide a better ranking.

I might be confused. Are you talking about his alpha=2900? If so that number sounds are right as alpha in sklearn is N/2 * lambda in R where N is your number of observations. If not then yeah my bad I thought you were talking about something else. Yes, I'm talking about that "2900" and th...

After further investigation, your lambda (alpha in your code) values are too high. As a result of that you punish players with relative low possessions even more. You should change your sequence to come up with a better one. I would focus on the cross validation code there. I don't know how python ...

Nice job! Also very kind for you to share all this code. You are the first to share such code at this scale in this forum. So thank you so much for that. At first I must say I'm not a computer scientist, I'm no analyst, I'm not getting any money. I'm just a basketball fan (not even that nowadays) an...

Almost impossible because of the lack of data. Any work on this would likely be statistically insignificant. Results would probably lie between the residuals.

2/3 - 1/3 ratio is not ideal but should be close enough for predicting team wins of the next season.

If we had to call upon maths to prove everything and advance that way as the human race, our race would already be extinct. Even now you can see some completely conflicting findings on most of the new research areas and both sides claim they have statistical evidence for it. You just need to look fo...

If hot hand is not proven by analytics it's only because analytics are not there yet. No one can convince me there's no such thing as hot hand with the usual very poor statistical arguments. I'm a former basketball player that played as an SG at school-level and I know the whole deal. If these so-ca...

I didn't mean to doubt it's objectiveness. Your reasoning sounds fair. I just wanted to know your exact purpose . I mean like predicting wins, predicting spread, individual player impact...

Objective?

I always use the first formula. In some cases, I used even more sophisticated formulas. I don't like "too much estimation" or "bias". I always try to minimize that factor in any scenerio.

I would say 4-0 if I saw this thread before the first game and I'm saying 4-0 again after the first game. Last year I thought it was the common non-empirical 51%-49% ratio in favour of Cavs for me. Durant is better than people and +/- based metrics give credit for. Durant-Curry-Thompson-Green would ...

There have been people contacting me via pm or here in this thread or older threads about how to calculate RAPM and getting the data ready for regression in the past years. I assume there are still going to be some people interested in how to calculate RAPM whether they are forum members or they com...