LEC
WorldsRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 65 | 73 | 71 | 65 | 44 | 68 | 68 | ||
| 2 | 60 | 60 | 48 | 54 | 54 | 66 | 77 | ||
| 3 | 60 | 57 | 71 | 50 | 57 | 62 | 60 | ||
| 4 | 55 | 69 | 40 | 60 | 39 | 64 | 60 | ||
| 5 | L | 54 | 37 | 42 | 45 | 64 | 67 | 69 | |
| 6 | 54 | 57 | 58 | 52 | 58 | 43 | 55 | ||
| 7 | 53 | 47 | 56 | 57 | 56 | 53 | 50 | ||
| 8 | 52 | 62 | 59 | 53 | 56 | 41 | 41 | ||
| 9 | 51 | 50 | 56 | 47 | 66 | 45 | 44 | ||
| 10 | 48 | 44 | 41 | 54 | 56 | 50 | 44 | ||
| 11 | 43 | 40 | 48 | 52 | 37 | 40 | 39 |
- Mechanics73Laning71Teamfighting65Macro44Consistency68Versatility68
- Mechanics60Laning48Teamfighting54Macro54Consistency66Versatility77
- Mechanics57Laning71Teamfighting50Macro57Consistency62Versatility60
- Mechanics69Laning40Teamfighting60Macro39Consistency64Versatility60
- Mechanics37Laning42Teamfighting45Macro64Consistency67Versatility69
- Mechanics57Laning58Teamfighting52Macro58Consistency43Versatility55
- Mechanics47Laning56Teamfighting57Macro56Consistency53Versatility50
- Mechanics62Laning59Teamfighting53Macro56Consistency41Versatility41
- Mechanics50Laning56Teamfighting47Macro66Consistency45Versatility44
- Mechanics44Laning41Teamfighting54Macro56Consistency50Versatility44
- Mechanics40Laning48Teamfighting52Macro37Consistency40Versatility39
Axis leaders · records
Champion per stat
Overall distribution (11 members)mean 54·median 54
4365
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LCS Mid 2014 ranking at a glance
LCS Mid 2014 compares 11 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Bjergsen, with an average of 65. In Mechanics, Bjergsen ranks highest. The overall average here is 54, ranging from 65 down to 43.
Frequently asked questions
- Who is ranked #1 in LCS Mid 2014?
- The overall #1 in LCS Mid 2014 is Bjergsen, averaging 65.
- How many are compared in LCS Mid 2014?
- 11 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Bjergsen 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.