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MSIRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 51 | 48 | 61 | 37 | 45 | 54 | 63 | ||
| 2 | 51 | 63 | 49 | 51 | 34 | 52 | 57 | ||
| 3 | 50 | 51 | 41 | 47 | 50 | 60 | 53 | ||
| 4 | 44 | 44 | 37 | 38 | 49 | 52 | 41 | ||
| 5 | 43 | 33 | 40 | 51 | 51 | 37 | 48 | ||
| 6 | 43 | 46 | 54 | 52 | 33 | 39 | 36 | ||
| 7 | 42 | 31 | 37 | 34 | 55 | 45 | 49 | ||
| 8 | 42 | 48 | 44 | 45 | 35 | 39 | · | ||
| 9 | 40 | 41 | 40 | 47 | 41 | 35 | 37 | ||
| 10 | 40 | 37 | 45 | 39 | 51 | 37 | 33 |
- Mechanics48Laning61Teamfighting37Macro45Consistency54Versatility63
- Mechanics63Laning49Teamfighting51Macro34Consistency52Versatility57
- Mechanics51Laning41Teamfighting47Macro50Consistency60Versatility53
- Mechanics44Laning37Teamfighting38Macro49Consistency52Versatility41
- Mechanics33Laning40Teamfighting51Macro51Consistency37Versatility48
- Mechanics46Laning54Teamfighting52Macro33Consistency39Versatility36
- Mechanics31Laning37Teamfighting34Macro55Consistency45Versatility49
- Mechanics48Laning44Teamfighting45Macro35Consistency39Versatility·
- Mechanics41Laning40Teamfighting47Macro41Consistency35Versatility37
- Mechanics37Laning45Teamfighting39Macro51Consistency37Versatility33
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 45·median 43
4051
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VCS Support 2024 ranking at a glance
VCS Support 2024 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Taki, with an average of 51. In Mechanics, Taki ranks highest. The overall average here is 45, ranging from 51 down to 40.
Frequently asked questions
- Who is ranked #1 in VCS Support 2024?
- The overall #1 in VCS Support 2024 is Taki, averaging 51.
- How many are compared in VCS Support 2024?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Taki 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.