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LCK Support 2018

13 members·6 stats

Ranking — Overall

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  • 1
    83
    Mechanics76Laning77Teamfighting67Macro92Consistency91Versatility97
  • Mechanics76Laning85Teamfighting81Macro66Consistency88Versatility90
  • Mechanics73Laning83Teamfighting82Macro74Consistency83Versatility82
  • 4
    79
    Mechanics73Laning85Teamfighting76Macro80Consistency77Versatility85
  • Mechanics84Laning81Teamfighting68Macro66Consistency86Versatility78
  • 6
    77
    Mechanics86Laning80Teamfighting80Macro76Consistency67Versatility71
  • Mechanics62Laning62Teamfighting82Macro74Consistency85Versatility91
  • Mechanics79Laning67Teamfighting78Macro82Consistency69Versatility75
  • Mechanics81Laning69Teamfighting64Macro93Consistency76Versatility55
  • 10
    73
    Mechanics88Laning84Teamfighting79Macro57Consistency58Versatility69
  • 11
    73
    Mechanics63Laning70Teamfighting75Macro93Consistency69Versatility67
  • 12
    68
    Mechanics68Laning77Teamfighting77Macro64Consistency62Versatility61
  • 13
    68
    Mechanics71Laning63Teamfighting71Macro63Consistency75Versatility66
Axis leaders · records

Champion per stat

Overall distribution (13 members)mean 76·median 76
6883

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LCK Support 2018 ranking at a glance

LCK Support 2018 compares 13 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Mata, with an average of 83. In Mechanics, Max ranks highest. The overall average here is 76, ranging from 83 down to 68.

Frequently asked questions

Who is ranked #1 in LCK Support 2018?
The overall #1 in LCK Support 2018 is Mata, averaging 83.
How many are compared in LCK Support 2018?
13 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?
Max 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 →