LEC
WorldsRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 64 | 65 | 68 | 61 | 46 | 71 | 73 | ||
| 2 | 60 | 63 | 72 | 64 | 40 | 52 | 70 | ||
| 3 | 59 | 60 | 66 | 57 | 47 | 60 | 63 | ||
| 4 | 57 | 62 | 53 | 51 | 51 | 65 | 62 | ||
| 5 | 56 | 56 | 55 | 55 | 61 | 59 | 49 | ||
| 6 | 53 | 58 | 56 | 50 | 65 | 44 | 46 | ||
| 7 | 50 | 49 | 40 | 58 | 55 | 62 | 38 | ||
| 8 | 49 | 40 | 43 | 49 | 60 | 40 | 60 | ||
| 9 | 48 | 48 | 47 | 50 | 51 | 47 | 42 | ||
| 10 | 45 | 42 | 42 | 49 | 54 | 43 | 42 |
- Mechanics65Laning68Teamfighting61Macro46Consistency71Versatility73
- Mechanics63Laning72Teamfighting64Macro40Consistency52Versatility70
- Mechanics60Laning66Teamfighting57Macro47Consistency60Versatility63
- Mechanics62Laning53Teamfighting51Macro51Consistency65Versatility62
- Mechanics56Laning55Teamfighting55Macro61Consistency59Versatility49
- Mechanics58Laning56Teamfighting50Macro65Consistency44Versatility46
- Mechanics49Laning40Teamfighting58Macro55Consistency62Versatility38
- Mechanics40Laning43Teamfighting49Macro60Consistency40Versatility60
- Mechanics48Laning47Teamfighting50Macro51Consistency47Versatility42
- Mechanics42Laning42Teamfighting49Macro54Consistency43Versatility42
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 54·median 56
4564
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LCS Bot 2014 ranking at a glance
LCS Bot 2014 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Sneaky, with an average of 64. In Mechanics, Sneaky ranks highest. The overall average here is 54, ranging from 64 down to 45.
Frequently asked questions
- Who is ranked #1 in LCS Bot 2014?
- The overall #1 in LCS Bot 2014 is Sneaky, averaging 64.
- How many are compared in LCS Bot 2014?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Sneaky 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.