Ranking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 71 | 62 | 71 | 66 | 69 | 80 | 80 | ||
| 2 | 63 | 55 | 63 | 57 | 52 | 76 | 76 | ||
| 3 | 61 | 70 | 51 | 55 | 61 | 67 | 60 | ||
| 4 | 58 | 49 | 63 | 63 | 66 | 46 | 63 | ||
| 5 | 58 | 70 | 55 | 66 | 46 | 58 | 54 | ||
| 6 | 55 | 61 | 53 | 47 | 64 | 56 | 49 | ||
| 7 | 53 | 49 | 49 | 58 | 61 | 52 | 46 | ||
| 8 | 50 | 55 | 55 | 52 | 49 | 44 | 43 | ||
| 9 | 47 | 46 | 49 | 53 | 46 | 41 | · | ||
| 10 | 37 | 40 | 44 | 35 | 40 | 37 | 28 |
- Mechanics62Laning71Teamfighting66Macro69Consistency80Versatility80
- Mechanics55Laning63Teamfighting57Macro52Consistency76Versatility76
- Mechanics70Laning51Teamfighting55Macro61Consistency67Versatility60
- Mechanics49Laning63Teamfighting63Macro66Consistency46Versatility63
- Mechanics70Laning55Teamfighting66Macro46Consistency58Versatility54
- Mechanics61Laning53Teamfighting47Macro64Consistency56Versatility49
- Mechanics49Laning49Teamfighting58Macro61Consistency52Versatility46
- Mechanics55Laning55Teamfighting52Macro49Consistency44Versatility43
- Mechanics46Laning49Teamfighting53Macro46Consistency41Versatility·
- Mechanics40Laning44Teamfighting35Macro40Consistency37Versatility28
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 55·median 58
3771
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LCS Support 2020 ranking at a glance
LCS Support 2020 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is CoreJJ, with an average of 71. In Mechanics, Zeyzal ranks highest. The overall average here is 55, ranging from 71 down to 37.
Frequently asked questions
- Who is ranked #1 in LCS Support 2020?
- The overall #1 in LCS Support 2020 is CoreJJ, averaging 71.
- How many are compared in LCS Support 2020?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Zeyzal 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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