More writing about FoosRank.

[foosball] / www / index.xml

diff --git a/www/index.xml b/www/index.xml
index dbd5359983acd332a1df0b1b3bd7a1a3fb90e867..315a7ac0f7c0cf1d46aed79441adf8e5cd052081 100644 (file)
--- a/www/index.xml
+++ b/www/index.xml
@@ -73,10 +73,10 @@
       <thead>
         <tr>
           <th>Username</th>
-         <th>Rating mean</th>
-         <th>Rating deviation</th>
-         <th>Conservative estimate</th>
-         <th>Change since yesterday</th>
+         <th>Rating</th>
+         <th>RD</th>
+         <th>Lower bound</th>
+         <th>Since -1d</th>
        </tr>
       </thead>
       <tbody t:id="singletop">
@@ -96,10 +96,10 @@
       <thead>
         <tr>
           <th>Username</th>
-         <th>Rating mean</th>
-         <th>Rating deviation</th>
-         <th>Conservative estimate</th>
-         <th>Change since yesterday</th>
+         <th>Rating</th>
+         <th>RD</th>
+         <th>Lower bound</th>
+         <th>Since -1d</th>
        </tr>
       </thead>
       <tbody t:id="doubletop">
@@ -122,6 +122,7 @@
           <th>Type</th>
           <th colspan="2">Opponents</th>
          <th>Score</th>
+         <th colspan="2">Rating diff.</th>
        </tr>
       </thead>
       <tbody t:id="lastgames">
@@ -131,6 +132,8 @@
          <td><t:username1 /></td>
          <td><t:username2 /></td>
          <td><t:score1 /> &#8211; <t:score2 /></td>
+         <td><t:diff1 /></td>
+         <td><t:diff2 /></td>
        </tr>
       </tbody>
     </table>
@@ -157,17 +160,18 @@
     <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>
@@ -184,6 +188,11 @@
         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>
   </body>
 </html>