Welcome to the collection of all historical and recent AOE2 tournament game results.
Applying the Elo rating system on this data allows us to have an unbiased rating of any play at any point in time.
We are actively looking for support for the following tasks:
You want to help? Fantastic, shoot us a message on Discord: https://discord.gg/hZzheB2kVE
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.
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.
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.
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).
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".
Looking for Support
You want to contribute with moderation or code?
Join us on Discord!
Feel free to use our database for your own project. The original data format is SQL. Contact us in case you want a up-to-date copy.CSV SQL JSON
You are free to use the Web API to fetch data in real time. You can use it for some other website, project or anything else. Just please don't exceed 1000 calls per hour.
Big thanks to everybody who contributed so far with suggestions, feedback or by spotting errors in the data! To name a few:
pumukel, Poxo, patao, donal, nimanoe, Michaerbse, iViktorius, King_Marv, Huehuecoyotl22, buhanisson, mrdmr, Hellrider_23, dodageka, The_Night_Panda, JoshuaR, IamDiscern, lucky58AoE, GWLeibniz, dodageka, RingZero, BBBBBBBBBBBBBBBBB, Epid
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