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MSIRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 52 | 57 | 54 | 45 | 43 | 52 | 63 | ||
| 2 | 51 | 54 | 62 | 47 | 36 | 60 | 48 | ||
| 3 | 48 | 52 | 58 | 46 | 48 | 43 | 40 | ||
| 4 | 47 | 40 | 46 | 55 | 62 | 50 | 26 | ||
| 5 | 46 | 36 | 30 | 45 | 43 | 58 | 61 | ||
| 6 | 45 | 37 | 43 | 40 | 51 | 45 | 54 | ||
| 7 | 40 | 39 | 37 | 39 | 51 | 34 | 40 | ||
| 8 | 40 | 45 | 40 | 46 | 30 | 28 | 48 | ||
| 9 | 40 | 44 | 43 | 43 | 43 | 37 | 31 | ||
| 10 | 37 | 43 | 31 | 37 | 35 | 40 | 38 |
- Mechanics57Laning54Teamfighting45Macro43Consistency52Versatility63
- Mechanics54Laning62Teamfighting47Macro36Consistency60Versatility48
- Mechanics52Laning58Teamfighting46Macro48Consistency43Versatility40
- Mechanics40Laning46Teamfighting55Macro62Consistency50Versatility26
- Mechanics36Laning30Teamfighting45Macro43Consistency58Versatility61
- Mechanics37Laning43Teamfighting40Macro51Consistency45Versatility54
- Mechanics39Laning37Teamfighting39Macro51Consistency34Versatility40
- Mechanics45Laning40Teamfighting46Macro30Consistency28Versatility48
- Mechanics44Laning43Teamfighting43Macro43Consistency37Versatility31
- Mechanics43Laning31Teamfighting37Macro35Consistency40Versatility38
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 45·median 46
3752
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VCS Mid 2022 ranking at a glance
VCS Mid 2022 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Kati, with an average of 52. In Mechanics, Kati ranks highest. The overall average here is 45, ranging from 52 down to 37.
Frequently asked questions
- Who is ranked #1 in VCS Mid 2022?
- The overall #1 in VCS Mid 2022 is Kati, averaging 52.
- How many are compared in VCS Mid 2022?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Kati 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.