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Worlds Jungle 2025

13 members·6 stats

Ranking — Overall

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  • 1
    87
    Mechanics87Laning95Teamfighting84Macro95Consistency95Versatility66
  • 2
    82
    Mechanics88Laning76Teamfighting73Macro79Consistency91Versatility86
  • Mechanics78Laning81Teamfighting84Macro79Consistency79Versatility85
  • Mechanics65Laning83Teamfighting63Macro75Consistency89Versatility90
  • Mechanics88Laning70Teamfighting69Macro70Consistency72Versatility99
  • Mechanics77Laning85Teamfighting64Macro79Consistency71Versatility83
  • Mechanics61Laning58Teamfighting76Macro76Consistency71Versatility85
  • Mechanics70Laning68Teamfighting67Macro70Consistency73Versatility80
  • Mechanics71Laning76Teamfighting62Macro74Consistency76Versatility61
  • Mechanics77Laning65Teamfighting71Macro66Consistency62Versatility·
  • 11
    68
    Mechanics79Laning59Teamfighting73Macro67Consistency61Versatility71
  • 12
    57
    Mechanics61Laning55Teamfighting51Macro64Consistency43Versatility70
  • 13
    53
    Mechanics50Laning62Teamfighting44Macro61Consistency38Versatility61
Axis leaders · records

Champion per stat

Overall distribution (13 members)mean 72·median 71
5387

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Worlds Jungle 2025 ranking at a glance

Worlds Jungle 2025 compares 13 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Cuzz, with an average of 87. In Mechanics, Kanavi ranks highest. The overall average here is 72, ranging from 87 down to 53.

Frequently asked questions

Who is ranked #1 in Worlds Jungle 2025?
The overall #1 in Worlds Jungle 2025 is Cuzz, averaging 87.
How many are compared in Worlds Jungle 2025?
13 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?
Kanavi 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 →