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Worlds Mid 2025

13 members·6 stats

Ranking — Overall

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  • Mechanics89Laning85Teamfighting86Macro80Consistency82Versatility91
  • 2
    85
    Mechanics91Laning97Teamfighting81Macro69Consistency96Versatility73
  • Mechanics82Laning78Teamfighting87Macro72Consistency91Versatility94
  • Mechanics88Laning74Teamfighting86Macro62Consistency80Versatility89
  • Mechanics64Laning91Teamfighting73Macro64Consistency87Versatility88
  • Mechanics87Laning77Teamfighting77Macro57Consistency74Versatility92
  • 7
    76
    Mechanics78Laning91Teamfighting72Macro63Consistency66Versatility84
  • 8
    74
    Mechanics70Laning61Teamfighting64Macro89Consistency74Versatility83
  • 9
    71
    Mechanics71Laning71Teamfighting75Macro62Consistency62Versatility86
  • 10
    71
    Mechanics86Laning72Teamfighting74Macro62Consistency62Versatility·
  • Mechanics66Laning70Teamfighting55Macro66Consistency54Versatility69
  • 12
    59
    Mechanics61Laning35Teamfighting67Macro74Consistency41Versatility76
  • 13
    46
    Mechanics45Laning40Teamfighting46Macro51Consistency42Versatility54
Axis leaders · records

Champion per stat

Overall distribution (13 members)mean 73·median 76
4686

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Worlds Mid 2025 ranking at a glance

Worlds Mid 2025 compares 13 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Chovy, with an average of 86. In Mechanics, Bdd ranks highest. The overall average here is 73, ranging from 86 down to 46.

Frequently asked questions

Who is ranked #1 in Worlds Mid 2025?
The overall #1 in Worlds Mid 2025 is Chovy, averaging 86.
How many are compared in Worlds Mid 2025?
13 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?
Bdd 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 →