Step 1 - Inital estimate

First, the initial Elo for every player is estimated. We do this here based on the number of games they played and how many tournaments they attended.

Step 2 - Chronological game evaluation

Then, all tournament games are evaluated in order of time: For every played game within a series, the winner takes points from the loser according to the mathematical Elo formula. See also on Wikipedia.

We use a K-Factor of 8. To understand how a player ended up on his current Elo, just view their game history by clicking on the name.

Elo is free of bias

Instead of manually having to decide which match, tournament or opponent was important or difficult, Elo automatically takes care of the point distribution and is free of personal bias. The more matches are included, the more accurate it gets.

It stays up-to-date

Elo automatically weights recent results heavier than older ones. This way, we can also measure at what point in time a player's Elo was higher or lower during is career (see the player profiles).

A player can't boost his rating by "noob bashing"

If a strong player (i.e. a player with a high Elo number) wins against a weaker opponent, they are only awarded a small number of points. However, if the weaker player wins, they get alot. This way, the Elo difference of two players stabilizes given enough matches, reflecting the true "skill gap".

Either...

• It is not a 1v1 tournament
• It has too many low-tier players
• We couldn't find any brackets or informations about it. Help us!
• We forgot it. Notify us!

• We don't put admin wins or other cancelled games in the database, only really played matches.
• Not all stages of all tournaments are important. If the early stages of a tournament only consist of mainly low-tier matches, we don't put them in the database. This way, the amount of low-level players with only a few registered matches is lower, and they do not clutter the statistics and tables too much.