LoL Tier Lists, Champion Builds, Counters, and Stats.

Patch 7.12
Most recent update: 5 minutes ago
Platinum+ Solo Queue Plays: 916517
Platinum+ 3v3 Plays: 46162

What is MetaLoL?

MetaLoL uses champion statistics to create tier lists and build guides automatically.

I found a bug or otherwise need to contact you. How?

Send an email to [email protected]

Where does MetaLoL get its data?

MetaLoL has a crawler working 24/7 looking through Riot's API. For Solo Queue and Ranked 3v3, it tracks Platinum+ player data.

MetaLoL isn't endorsed by Riot Games and doesn't reflect the views or opinions of Riot Games or anyone officially involved in producing or managing League of Legends. League of Legends and Riot Games are trademarks or registered trademarks of Riot Games, Inc. League of Legends © Riot Games, Inc.

How often does MetaLoL update?

Our crawler makes fresh data available to MetaLoL several times a day.

How does MetaLoL's tier list work?

We take a series of parameters for each champion including win rate, ban rate, and play rate, and predict how decent a champion appears to current players. We originally took a series of tier lists made by pros and trained weights for these stats by minimizing ((average rank in pro-tier list) - (rank predicted by the algorithm)) squared.

Why is a new champion not placed?

Champions are placed after a week of data has rolled in.

Why did you place X champion so low?

The placements are based on player performances. A low placement just means that most people aren't doing particularly well with the champion.

How do you decide which champions go into each tier?

This is a parameter that is arbitrarily set. 15% of champions are placed in tier 1, 25% in tier 2, 25% in tier 3, 20% in tier 4, and 15% in tier 5. During a champion's first week, a champion is not placed into any tier.

Win rates seem high and the weighted sum is not exactly 50%. Why?

Win rates are not conserved in this system. We collect data on Plat+ players, but keep in mind that these players may still face Gold players in their matches and should be expected to win more than 50% of the time. Additionally, we filter out outlier games / roles. Ex: Games where somebody jungles with a champion that is normally only used as a mid laner will not show up in our stats, and it is very likely that games of this type have a below 50% win rate.


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