Comments for Basketball Geek

Comment on Data by Helping Hands - MotownSports.com Message Board

Helping Hands - MotownSports.com Message Board — Mon, 01 Mar 2010 17:17:13 +0000

[...] on the floor together. To find out which players are assisting each other, I first downloaded the play by play data from BasketballGeek.com . I then filtered it to show which players were assisting which shooter. [...]

Comment on NBA Power Rankings by NBA Inside RPI strongly favors Cleveland « Courtside Analyst

NBA Inside RPI strongly favors Cleveland « Courtside Analyst — Fri, 19 Feb 2010 02:55:22 +0000

[...] Inside RPI” is dummy simple. Its a comparison of the Basketball Geek’s current Top 10 NBA teams (by adjusted efficiency) against one another, using pythagorean winning percentage as the [...]

Comment on Data by Rockets Assisting Rockets | Red94 | essays and musings on the nba & houston rockets

Thu, 18 Feb 2010 21:41:51 +0000

[...] in this post was tabulated from the play-by-play CSV files provided by Ryan Parker at BasketballGeek.com. var addthis_language = ‘en’;var addthis_options = ‘email, favorites, digg, delicious, myspace, [...]

Comment on Power Rankings, SSR Updates, and More by Ryan

Ryan — Fri, 12 Feb 2010 21:51:39 +0000

Home court is estimated for the entire league.

Comment on Power Rankings, SSR Updates, and More by DSMok1

DSMok1 — Fri, 12 Feb 2010 21:31:50 +0000

I looked at calculating individual home court advantages; my ratings match yours more now. But is that reasonable?

Comment on Power Rankings, SSR Updates, and More by DSMok1

DSMok1 — Fri, 12 Feb 2010 20:34:54 +0000

“per possession” means that teams with a correlation between pace and how well they play will be skewed. That doesn’t account for enough, though.

How does your “home court” factor in? Is it league wide or for each team?

Comment on Power Rankings, SSR Updates, and More by DSMok1

DSMok1 — Fri, 12 Feb 2010 19:27:35 +0000

I most definitely do control for home court, but it is home court league-wide rather than team-specific. Other than the “per game” vs. “per possession” (which I could do rather easily), I’m not exactly sure why it would make such a big difference. I’ll run the “per possession” to check what the difference would be.

Comment on Power Rankings, SSR Updates, and More by Ryan

Ryan — Fri, 12 Feb 2010 17:52:20 +0000

I’d say there are a few possible reasons why we’re not matching up. You weight by game, where as I weight by possession. I control for home court, where as you may not. I’m using a multinomial logistic regression, so I’m minimizing something a little different than what you’re minimizing.

Comment on Power Rankings, SSR Updates, and More by DSMok1

DSMok1 — Fri, 12 Feb 2010 16:39:00 +0000

I’m continuing to notice a big discrepancy in the ratings between mine and yours with the Boston Celtics. Remember, I’m weighting each game equally and calculating the adjusted efficiency margins for each team.

I corrected 1 flaw in my ratings (they didn’t sum to 0), but I still see the big Boston discrepancy. Do your ratings somehow favor the first part of the season (using a faulty updating algorithm?) I show Boston as #10 with a margin of only 2.8; you have them at #4 with a margin of 5.6. I’m running a simple minimization of residuals (not of squared residuals).

Comment on NBA Power Rankings by Bucks stock rising « Courtside Analyst

Bucks stock rising « Courtside Analyst — Sat, 06 Feb 2010 23:04:44 +0000

[...] my favorite power ranking, The Basketball Geek’s, the Bucks were stuck in the same position for what seemed an eternity, somewhere around 21st in [...]