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Worlds Support 2024

13 members·6 stats

Ranking — Overall

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  • Mechanics72Laning85Teamfighting84Macro90Consistency96Versatility96
  • 2
    83
    Mechanics74Laning83Teamfighting65Macro100Consistency77Versatility97
  • Mechanics66Laning81Teamfighting70Macro90Consistency78Versatility91
  • Mechanics59Laning91Teamfighting73Macro92Consistency73Versatility88
  • Mechanics68Laning68Teamfighting82Macro97Consistency67Versatility82
  • Mechanics55Laning79Teamfighting73Macro96Consistency70Versatility81
  • Mechanics63Laning59Teamfighting71Macro90Consistency71Versatility96
  • Mechanics64Laning65Teamfighting67Macro89Consistency56Versatility86
  • Mechanics52Laning61Teamfighting67Macro80Consistency70Versatility76
  • 10
    67
    Mechanics55Laning68Teamfighting62Macro85Consistency65Versatility68
  • 11
    57
    Mechanics51Laning55Teamfighting42Macro69Consistency64Versatility63
  • 12
    57
    Mechanics48Laning54Teamfighting60Macro60Consistency53Versatility68
  • 13
    45
    Mechanics33Laning47Teamfighting38Macro53Consistency39Versatility59
Axis leaders · records

Champion per stat

Overall distribution (13 members)mean 71·median 75
4587

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Worlds Support 2024 ranking at a glance

Worlds Support 2024 compares 13 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Keria, with an average of 87. In Mechanics, ON ranks highest. The overall average here is 71, ranging from 87 down to 45.

Frequently asked questions

Who is ranked #1 in Worlds Support 2024?
The overall #1 in Worlds Support 2024 is Keria, averaging 87.
How many are compared in Worlds Support 2024?
13 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?
ON 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 →