Ranking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 69 | 71 | 78 | 57 | 80 | 78 | 47 | ||
| 2 | 64 | 62 | 67 | 50 | 59 | 71 | 74 | ||
| 3 | 59 | 63 | 53 | 62 | 51 | 57 | 68 | ||
| 4 | 53 | 53 | 55 | 56 | 44 | 65 | 44 | ||
| 5 | 53 | 52 | 46 | 56 | 52 | 61 | 50 | ||
| 6 | 53 | 45 | 39 | 41 | 69 | 60 | 66 | ||
| 7 | 53 | 51 | 56 | 48 | 63 | 44 | 56 | ||
| 8 | 52 | 48 | 43 | 63 | 43 | 51 | 61 | ||
| 9 | 52 | 48 | 61 | 64 | 42 | 45 | · | ||
| 10 | 42 | 57 | 47 | 45 | 47 | 29 | 24 |
- Mechanics71Laning78Teamfighting57Macro80Consistency78Versatility47
- Mechanics62Laning67Teamfighting50Macro59Consistency71Versatility74
- Mechanics63Laning53Teamfighting62Macro51Consistency57Versatility68
- Mechanics53Laning55Teamfighting56Macro44Consistency65Versatility44
- Mechanics52Laning46Teamfighting56Macro52Consistency61Versatility50
- Mechanics45Laning39Teamfighting41Macro69Consistency60Versatility66
- Mechanics51Laning56Teamfighting48Macro63Consistency44Versatility56
- Mechanics48Laning43Teamfighting63Macro43Consistency51Versatility61
- Mechanics48Laning61Teamfighting64Macro42Consistency45Versatility·
- Mechanics57Laning47Teamfighting45Macro47Consistency29Versatility24
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 55·median 53
4269
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LCS Support 2023 ranking at a glance
LCS Support 2023 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is CoreJJ, with an average of 69. In Mechanics, CoreJJ ranks highest. The overall average here is 55, ranging from 69 down to 42.
Frequently asked questions
- Who is ranked #1 in LCS Support 2023?
- The overall #1 in LCS Support 2023 is CoreJJ, averaging 69.
- How many are compared in LCS Support 2023?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- CoreJJ 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.
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