Sports Analytics Summit in San Francisco (Sept 20-21)

[EvanZ]

I'm going to this (since I'm living in the Bay Area now), thought I'd post the announcement.

http://analytics.theiegroup.com/sports

Kirk Lacob giving a talk:

The Golden State Warriors Silicon Valley Startup: A New Era
Perspective on Technology & Data Analysis

Ben Alamar (OKC):

Treating Analytics as Innovation - Getting Good Tools Used

Kirk Goldsberry:

Visual Analytics for the NBA

Also looking forward to a football talk from Keith Goldner who does some cool Markov models:

Situational Analysis in the NFL & Fantasy Analytics

[Crow]

I'd be interested in hearing your report on the NBA topics after the fact.

[EvanZ]

I'd be interested in hearing your report on the NBA topics after the fact.

By Twitter, of course.

[Crow]

If you want to post 300 tweets, that is fine. I'll read that.

By the way, when does your new metric get unveiled? Any blending involved?

I hope when you met one or both of the Lacobs they indicate they have read your stuff.

[EvanZ]

By the way, when does your new metric get unveiled? Any blending involved?

I'll tell you what I did, but I want to work on it more before I post anything. The weights for A4PM were originally based on a regression on RAPM. I wanted to see what would happen if added interaction terms to the regression. So, for example, OREB*ORR*OFTR, etc. The rankings that currently are in the lead on my site ("C" - 89% of the vote currently) are the ones done with those interaction terms included. "A" is RAPM (mine, not Jerry's). "B" is A4PM without the interaction terms.

Before I write more about it, though, I'd like to do more validation. Specifically, I want to calculate the predictive errors of each system. Adding all those interaction terms might give a better fit to the data, but may result in overfitting and worse prediction. (And I would be the first to admit that people may not like the idea of adding those terms, because the model becomes more of a black box.)

Hoping to get something done by the end of September, though.

[Crow]

Thanks for the explanation.

Would you have any interest in blending those 3 as another mark? From a technical perspective what would be the pluses and minuses of doing so? Could machine learning or some other technique be used to fine-tune the mix? Is the analogy of a multi-element lens applicable and useful or not?

[kpascual]

Awesome, an analytics conference in SF. But damn is that registration price steep. Evan, any chance you want to meet in person after the conference?

[EvanZ]

For sure, send me a pm and some contact info. You live in the Bay Area?

[kpascual]

Evan, sent you a PM! I'll be lurking around on Thursday.

[Crow]

The non-twitter update.
http://www.goldenstateofmind.com/2012/9 ... ion-summit
Would have taken 51 tweets.

Doesn't sound like it was that thrilling.