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Worlds Top 2019

16 members·6 stats

Ranking — Overall

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  • 1
    87
    Mechanics86Laning92Teamfighting80Macro92Consistency78Versatility92
  • Mechanics89Laning97Teamfighting89Macro56Consistency67Versatility95
  • Mechanics85Laning59Teamfighting86Macro74Consistency71Versatility88
  • Mechanics79Laning55Teamfighting73Macro91Consistency74Versatility73
  • Mechanics72Laning87Teamfighting63Macro54Consistency66Versatility96
  • Mechanics75Laning75Teamfighting63Macro69Consistency76Versatility75
  • Mechanics64Laning52Teamfighting53Macro64Consistency86Versatility89
  • Mechanics64Laning54Teamfighting67Macro67Consistency63Versatility70
  • Mechanics49Laning49Teamfighting60Macro72Consistency49Versatility66
  • 10
    57
    Mechanics54Laning51Teamfighting61Macro58Consistency49Versatility69
  • 11
    57
    Mechanics66Laning54Teamfighting60Macro60Consistency36Versatility63
  • Mechanics61Laning45Teamfighting54Macro64Consistency43Versatility63
  • 13
    43
    Mechanics42Laning27Teamfighting52Macro55Consistency31Versatility49
  • 14
    36
    Mechanics34Laning36Teamfighting37Macro40Consistency25Versatility46
  • 15
    35
    Mechanics38Laning25Teamfighting40Macro26Consistency34Versatility47
  • 16
    34
    Mechanics34Laning22Teamfighting41Macro34Consistency28Versatility47
Axis leaders · records

Champion per stat

Overall distribution (16 members)mean 61·median 64
3487

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Worlds Top 2019 ranking at a glance

Worlds Top 2019 compares 16 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Khan, with an average of 87. In Mechanics, TheShy ranks highest. The overall average here is 61, ranging from 87 down to 34.

Frequently asked questions

Who is ranked #1 in Worlds Top 2019?
The overall #1 in Worlds Top 2019 is Khan, averaging 87.
How many are compared in Worlds Top 2019?
16 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?
TheShy 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 →