LCK
Worlds
MSIRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 80 | 71 | 73 | 80 | 73 | 94 | 91 | ||
| 2 | 78 | 78 | 71 | 77 | 71 | 87 | 83 | ||
| 3 | 74 | 71 | 70 | 67 | 70 | 80 | 85 | ||
| 4 | 73 | 70 | 73 | 72 | 73 | 69 | 81 | ||
| 5 | 73 | 75 | 79 | 75 | 79 | 66 | 61 | ||
| 6 | 73 | 79 | 73 | 76 | 73 | 73 | 63 | ||
| 7 | 73 | 67 | 73 | 73 | 73 | 81 | 72 | ||
| 8 | 71 | 77 | 75 | 68 | 75 | 63 | 68 | ||
| 9 | 70 | 73 | 74 | 74 | 74 | 71 | 55 | ||
| 10 | 70 | 76 | 72 | 76 | 72 | 51 | 75 |
- Mechanics71Laning73Teamfighting80Macro73Consistency94Versatility91
- Mechanics78Laning71Teamfighting77Macro71Consistency87Versatility83
- Mechanics71Laning70Teamfighting67Macro70Consistency80Versatility85
- Mechanics70Laning73Teamfighting72Macro73Consistency69Versatility81
- Mechanics75Laning79Teamfighting75Macro79Consistency66Versatility61
- Mechanics79Laning73Teamfighting76Macro73Consistency73Versatility63
- Mechanics67Laning73Teamfighting73Macro73Consistency81Versatility72
- Mechanics77Laning75Teamfighting68Macro75Consistency63Versatility68
- Mechanics73Laning74Teamfighting74Macro74Consistency71Versatility55
- Mechanics76Laning72Teamfighting76Macro72Consistency51Versatility75
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 74·median 73
7080
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LPL Bot 2016 ranking at a glance
LPL Bot 2016 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Deft, with an average of 80. In Mechanics, kRYST4L ranks highest. The overall average here is 74, ranging from 80 down to 70.
Frequently asked questions
- Who is ranked #1 in LPL Bot 2016?
- The overall #1 in LPL Bot 2016 is Deft, averaging 80.
- How many are compared in LPL Bot 2016?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- kRYST4L 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.