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Worlds Mid 2018

16 members·6 stats

Ranking — Overall

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  • Mechanics81Laning96Teamfighting72Macro77Consistency93Versatility96
  • Mechanics81Laning97Teamfighting82Macro70Consistency66Versatility91
  • Mechanics84Laning98Teamfighting69Macro75Consistency63Versatility96
  • Mechanics74Laning95Teamfighting69Macro77Consistency75Versatility90
  • 5
    75
    Mechanics67Laning58Teamfighting66Macro82Consistency88Versatility90
  • 6
    75
    Mechanics69Laning54Teamfighting63Macro86Consistency81Versatility95
  • 7
    74
    Mechanics70Laning53Teamfighting61Macro80Consistency77Versatility100
  • Mechanics68Laning61Teamfighting67Macro91Consistency70Versatility89
  • Mechanics79Laning69Teamfighting78Macro69Consistency70Versatility·
  • 10
    72
    Mechanics73Laning60Teamfighting78Macro84Consistency60Versatility79
  • 11
    71
    Mechanics64Laning47Teamfighting68Macro77Consistency79Versatility92
  • 12
    69
    Mechanics74Laning62Teamfighting69Macro74Consistency65Versatility·
  • 13
    45
    Mechanics37Laning58Teamfighting36Macro55Consistency34Versatility52
  • 14
    35
    Mechanics32Laning20Teamfighting29Macro37Consistency40Versatility52
  • 15
    33
    Mechanics35Laning23Teamfighting32Macro44Consistency23Versatility41
  • 16
    32
    Mechanics34Laning23Teamfighting32Macro32Consistency23Versatility49
Axis leaders · records

Champion per stat

Overall distribution (16 members)mean 66·median 74
3286

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Worlds Mid 2018 ranking at a glance

Worlds Mid 2018 compares 16 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is RooKie, with an average of 86. In Mechanics, Perkz ranks highest. The overall average here is 66, ranging from 86 down to 32.

Frequently asked questions

Who is ranked #1 in Worlds Mid 2018?
The overall #1 in Worlds Mid 2018 is RooKie, averaging 86.
How many are compared in Worlds Mid 2018?
16 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?
Perkz 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 →