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MSIRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 51 | 45 | 58 | 49 | 40 | 55 | 61 | ||
| 2 | 49 | 46 | 39 | 48 | 46 | 60 | 55 | ||
| 3 | 46 | 45 | 48 | 48 | 31 | 48 | 57 | ||
| 4 | 44 | 50 | 50 | 39 | 24 | 53 | 50 | ||
| 5 | 44 | 47 | 51 | 42 | 59 | 32 | 35 | ||
| 6 | 43 | 40 | 46 | 40 | 59 | 32 | 43 | ||
| 7 | 43 | 45 | 30 | 49 | 43 | 46 | 46 | ||
| 8 | 41 | 42 | 39 | 36 | 39 | 53 | 39 | ||
| 9 | 41 | 46 | 41 | 56 | 49 | 26 | 26 | ||
| 10 | 41 | 38 | 40 | 38 | 47 | 43 | 37 |
- Mechanics45Laning58Teamfighting49Macro40Consistency55Versatility61
- Mechanics46Laning39Teamfighting48Macro46Consistency60Versatility55
- Mechanics45Laning48Teamfighting48Macro31Consistency48Versatility57
- Mechanics50Laning50Teamfighting39Macro24Consistency53Versatility50
- Mechanics47Laning51Teamfighting42Macro59Consistency32Versatility35
- Mechanics40Laning46Teamfighting40Macro59Consistency32Versatility43
- Mechanics45Laning30Teamfighting49Macro43Consistency46Versatility46
- Mechanics42Laning39Teamfighting36Macro39Consistency53Versatility39
- Mechanics46Laning41Teamfighting56Macro49Consistency26Versatility26
- Mechanics38Laning40Teamfighting38Macro47Consistency43Versatility37
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 44·median 44
4151
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VCS Support 2023 ranking at a glance
VCS Support 2023 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Palette, with an average of 51. In Mechanics, Zin ranks highest. The overall average here is 44, ranging from 51 down to 41.
Frequently asked questions
- Who is ranked #1 in VCS Support 2023?
- The overall #1 in VCS Support 2023 is Palette, averaging 51.
- How many are compared in VCS Support 2023?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Zin 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.