I was curious how accurate my rating was after I played a bunch of games, so I did a little research, and it appears that standard deviation for Elo ratings is

STD = 400/sqrt(Ngames)

In my case, I've played 29 games, and my rating as of this post is 1851. STD=400/sqrt(29)=74.

So at 95% confidence level, my rating is somewhere between 1700 and 2000. More data is needed!

P.S. I am not totally sure about 400/sqrt(N), if anyone knows better, please let the forum know.

Since this is BayesElo, and not normal ELO, this is, as far as I understand it, not correct.
1. The ratings are defined in a Bayesian framework.
2. They use the data of the games of everybody else too to calculate your rating.

Standard deviation and confidence intervals are frequentist methods and can't be applied in a Bayesian framework. Similar methods exist, but I'm not a bayesian statistician myself, so I'm not a specialist on this matter.

http://blog.warlight.net/index.php/2011/02/running-your-own-ladder-simulations/

The Bayeselo program actually gives estimated confidence interval numbers when it runs the ratings. It provides columns labelled + and -. Unfortunately, the BayesElo log link provided by Randy (http://warlight.net/Data/BayeseloLog.txt) no longer seems to contain any games, so I can't check what your range is. I'm guessing that the link changed when the 2v2 ladder was added.

The bayeselo log has been fixed. Please refer back to the blog post for the new links.

So yeah, the output contains +/- numbers. For me, they are +141/-125. Assuming these are the numbers for 95% CL interval, it's consistent with what I wrote (+/- 150). The interval is a little tighter which I think is usually the case for Bayesian vs frequentist approach.