I have updated my Bayesian Power Ratings, using the techniques described in previous posts:
On Bayesian Predictive Efficiency Ratings
NBA Final Regular Season Bayesian Efficiency Ratings
Here are the Bayesian Ratings, updated through the end of the conference finals:
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Tags: Bayesian Analysis, Google Motion Charts, NBA, NBA Playoffs, Team Ratings, Visualization
Posted in NBA Stats | 2 Comments »
There is a ! I’m putting together an NBA Playoffs preview; this is the first of the data for that: Here is a table of playoff bound teams and their season-long adjusted efficiency ratings. Ratings are adjusted for location, pace (obviously, since these are per 100 possessions), opponent (recursively) and rest day situation. Previous...
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Tags: Bayesian Analysis, Google Motion Charts, NBA, NBA Playoffs, Projections, Statistics, Team Ratings
Posted in NBA Rankings, NBA Stats | 1 Comment »
It is fairly easy to construct a retrospective efficiency rating. Take the efficiencies for each game, correct for location and rest, and then solve using an OLS regression for each team’s true efficiency rating. Nice and neat. However, how should a predictive rating work? The best approach would be to adjust for what players...
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Tags: Bayesian Analysis, Google Motion Charts, NBA, Projections, Stat Theory, Statistics, Team Ratings
Posted in Google Motion Charts, NBA Adjusted Efficiencies, NBA Rankings, NBA Stats | 12 Comments »
It’s been a while since I last put together the fully adjusted NBA efficiency rankings. Here are the latest ratings (prev is 1-13-2011, the last time I updated): If you will recall, I last time was puzzling over what exponent to use when minimizing |residuals|^n. I tried out a number of different exponents in...
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Tags: Google Motion Charts, NBA, Statistics, Team Ratings
Posted in Google Motion Charts, NBA Adjusted Efficiencies, NBA Rankings, NBA Stats | 1 Comment »
Last week, I unveiled a Google Motion Chart that included a large number of advanced stats comparing point guards. This week, we'll start at the other end: centers. I actually am including players classified as either C or PF/C by BasketballValue, where I got the position information.
Most people feel that the position...
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Tags: Google Motion Charts, NBA, Player Ratings, Stat Theory, Statistics
Posted in Advanced SPM, Google Motion Charts, K-Means Clustering, NBA Stats | 8 Comments »
Last week, I unveiled my . This week, I’ll explore some of the decisions I made with that system, per the request of . The first question is how much the ranking are effected by using rest-days adjustments. See my original research on APBRmetrics for where this comes from. Here’s a table comparing the...
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Tags: Google Motion Charts, NBA, Statistics, Team Ratings
Posted in Google Motion Charts, NBA Adjusted Efficiencies, NBA Rankings, NBA Stats | 4 Comments »
So, what else can Google Motion Charts be used to visualize? Well, this application doesn’t actually *move*, but it does visualize a ton of point guard advanced statistics at once. That’s quite a few advanced stats in one place! Play around with the chart and see what can be revealed. I have 4 player...
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Tags: Google Motion Charts, NBA, Player Ratings, Statistics
Posted in Advanced SPM, Google Motion Charts, NBA Stats | 6 Comments »
Last week, I unveiled the first iteration of my . This week, I’ll revise and expand on it. The main thing I didn’t like about the chart was the 5-game moving averages. The games dropping off the far end of the moving average add just as much movement as the newest game adds. The...
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Tags: Google Motion Charts, NBA, Statistics, Team Ratings
Posted in Google Motion Charts, NBA Adjusted Efficiencies, NBA Stats | 3 Comments »
Hi, I’m Daniel (known as DSMok1 elsewhere), and this will be my first attempt at some fancy Google Visualizations. On my fancy new website.
This viz plots the 5-game TRAILING moving averages for each team in the NBA up through January 4th. It’s a bunch of data; we’ll see if the Google API...
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Tags: Google Motion Charts, NBA, Statistics, Team Ratings
Posted in Google Motion Charts, NBA Adjusted Efficiencies, NBA Stats | 5 Comments »
