<h2>About the ratings</h2>
<p>The rating system in use is called <em>FoosRank</em>, and is specially
- designed for this system. It is a Bayesian rating system, inspired by
- Glicko 1 but re-worked out from scratch with a statistically sound model
- of non-binary results, and adjusted for teams (with some ideas from
- Microsoft's TrueSkill system). For those not familiar with Bayesian
- ratings, the most important parts are:</p>
+ designed for this site. It is a Bayesian rating system, inspired by
+ <a href="http://math.bu.edu/people/mg/glicko/">Glicko</a> but re-worked
+ out from scratch with a statistically sound model of non-binary results,
+ and adjusted for teams (with some ideas from Microsoft's TrueSkill
+ system). For those not familiar with Bayesian ratings, the most important
+ parts are:</p>
<ul>
<li>Your rating is a <em>statistical estimation</em> of your true skill.
It has a mean (the point estimate of your skill) and a deviation
(measuring the uncertainity of the estimate), called the RD. It is approximately
- Gaussian (actually logistic).</li>
+ Gaussian.</li>
<li>When you win or lose a game, your rating will change accordingly,
based on your score and your opponent. <em>You do not get 'points'
for winning or losing, the estimate is merely getting more accurate.</em>
you are ranked as an individual, as we do not usually play with fixed
teams.</li>
</ul>
+
+ <p>For the more technically minded, a
+ <a href="http://home.samfundet.no/~sesse/foosrank.pdf">very rough writeup
+ on the mathematics behind FoosRank</a> is available in PDF format. It is,
+ however, by no means finished.</p>
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