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As you play more games, your RD gets lower. If you have played 1,000 games and your rating is currently 1600 I might say 'I am 95% sure your rating is between 15'.

Well that is a REALLY big range! And that is represented by a really big RD, or Rating Deviation. Basically what that number means is 'I AM 95% SURE YOUR RATING IS BETWEEN X and Y.' (Nerd Fact: In technical terms this is called a 'confidence interval'.) If this if your first game on I might say, 'I am 95% sure that your rating is somewhere between 4'. So the Glicko system gives everyone not only a rating, but an 'RD', called a Rating Deviation. But if I have played 1,000 games on this site, you would be much more sure that my current rating is accurate. For example, if this is your first game on and you start at 1200, how do we really know what your rating is? We don't.

So my rating is as accurate as your rating. With the Elo system you have to assume that everyone's rating is just as sure as everyone else's rating. (This only makes sense now that we have computers that can calculate this stuff in the blink of an eye - when Elo created his system they were doing it on paper!) It is a bit trickier than the Elo system, so pay attention. The Glicko System (used by, the Australian Chess Federation, and some other online sites) is a more modern approach that builds on some of the concepts above, but uses a more complicated formula. Well, it turns out, that is maybe TOO simple. So to calculate a person's rating after playing a few games you calculate the average ratings of his opponents, and then how many games he was expected to win, and then plug it into a formula that spits out the new rating. Basically, the wider the spread of the ratings, the higher percentage of games the higher rated player is expected to win. If he won 7 or more, it would go up, and 5 of less, his rating would go down. So when playing that other Grandmaster, if he wins 6 games out of 10, his rating would stay the same. But he may only have a ~60% chance of beating another Grandmaster. For example, Garry Kasparov has ~100% chance of beating my 4-year-old daughter. The idea is this: given two chess players of different strengths, we should be able to calculate the % chance that the better player will win the game. The Elo System (used by the United States Chess Federation, FIDE, and many other online chess sites) is popular for two reason - it has been around for a long time, and it is simple. There are two main rating systems, and each one has its merits. (I only know about all this because of a recent super-in-depth statistics course I took and my research in building !) I'm writing this article in response to many people who ask about ratings and need a simple explanation of how they work. To understand chess ratings you have to understand two things: #1 - that you have a TRUE rating that perfectly represents your strength of play, and #2 - that that TRUE rating will never be known and so we have to use statistics to get as close as possible to the truth. Still, there is a number out there that represents how well you play chess. You might be someone who plays a game a year, or someone who plays 1,000 a day.

You may not care at all about your rating, or you may be whining every time it goes down in the slightest. Like it or not, we ALL have a chess rating.

Free chess online against computer four stars