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LPL Mid 2022

17 members·6 stats

Ranking — Overall

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  • Mechanics86Laning73Teamfighting83Macro73Consistency97Versatility86
  • 2
    82
    Mechanics77Laning80Teamfighting83Macro80Consistency86Versatility83
  • Mechanics80Laning72Teamfighting72Macro72Consistency89Versatility95
  • Mechanics75Laning71Teamfighting80Macro71Consistency81Versatility89
  • 5
    78
    Mechanics81Laning81Teamfighting76Macro81Consistency76Versatility75
  • Mechanics73Laning68Teamfighting79Macro68Consistency80Versatility95
  • Mechanics72Laning72Teamfighting66Macro72Consistency87Versatility87
  • Mechanics72Laning74Teamfighting60Macro74Consistency92Versatility80
  • Mechanics79Laning73Teamfighting70Macro73Consistency66Versatility70
  • 10
    70
    Mechanics76Laning72Teamfighting73Macro72Consistency64Versatility63
  • 11
    70
    Mechanics73Laning66Teamfighting69Macro66Consistency69Versatility76
  • 12
    70
    Mechanics73Laning74Teamfighting86Macro74Consistency56Versatility56
  • 13
    69
    Mechanics67Laning75Teamfighting72Macro75Consistency67Versatility58
  • 14
    68
    Mechanics65Laning77Teamfighting65Macro77Consistency60Versatility66
  • 15
    66
    Mechanics59Laning68Teamfighting65Macro68Consistency65Versatility68
  • 16
    65
    Mechanics71Laning72Teamfighting75Macro72Consistency53Versatility48
  • 17
    65
    Mechanics66Laning66Teamfighting65Macro66Consistency66Versatility60
Axis leaders · records

Champion per stat

Overall distribution (17 members)mean 73·median 72
6583

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LPL Mid 2022 ranking at a glance

LPL Mid 2022 compares 17 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Knight, with an average of 83. In Mechanics, Knight ranks highest. The overall average here is 73, ranging from 83 down to 65.

Frequently asked questions

Who is ranked #1 in LPL Mid 2022?
The overall #1 in LPL Mid 2022 is Knight, averaging 83.
How many are compared in LPL Mid 2022?
17 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?
Knight 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 →