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Worlds Mid 2017

15 members·6 stats

Ranking — Overall

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  • Mechanics81Laning96Teamfighting79Macro75Consistency85Versatility96
  • 2
    82
    Mechanics91Laning74Teamfighting83Macro74Consistency83Versatility86
  • 3
    81
    Mechanics85Laning91Teamfighting81Macro75Consistency90Versatility64
  • Mechanics87Laning89Teamfighting83Macro78Consistency74Versatility72
  • Mechanics81Laning89Teamfighting80Macro83Consistency66Versatility86
  • Mechanics84Laning77Teamfighting84Macro77Consistency78Versatility80
  • Mechanics85Laning77Teamfighting76Macro82Consistency82Versatility79
  • Mechanics84Laning51Teamfighting78Macro84Consistency96Versatility87
  • Mechanics81Laning63Teamfighting78Macro84Consistency90Versatility79
  • 10
    77
    Mechanics82Laning70Teamfighting77Macro77Consistency65Versatility88
  • Mechanics79Laning55Teamfighting85Macro85Consistency86Versatility70
  • 12
    75
    Mechanics78Laning80Teamfighting77Macro80Consistency62Versatility·
  • 13
    C
    74
    Mechanics79Laning62Teamfighting76Macro86Consistency61Versatility79
  • Mechanics76Laning60Teamfighting76Macro84Consistency66Versatility·
  • 15
    37
    Mechanics43Laning23Teamfighting40Macro41Consistency34Versatility43
Axis leaders · records

Champion per stat

Overall distribution (15 members)mean 76·median 80
3785

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Worlds Mid 2017 ranking at a glance

Worlds Mid 2017 compares 15 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Faker, with an average of 85. In Mechanics, xiye ranks highest. The overall average here is 76, ranging from 85 down to 37.

Frequently asked questions

Who is ranked #1 in Worlds Mid 2017?
The overall #1 in Worlds Mid 2017 is Faker, averaging 85.
How many are compared in Worlds Mid 2017?
15 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?
xiye leads in Mechanics.
How are these scores calculated?
Each axis is a percentile within this ranking, averaged from measured match metrics, with sample shrinkage and — for international events — anchoring to the major-league distribution and a strength-of-schedule adjustment. A rank is not a raw metric; the full method is at everystat.ai/clusters/method.

How the six-axis ratings work →