WorldsRanking — Overall
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| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 76 | 75 | 75 | 75 | 75 | 82 | · | ||
| 2 | 75 | 77 | 74 | 77 | 74 | 74 | · | ||
| 3 | 75 | 78 | 72 | 71 | 72 | 80 | · | ||
| 4 | 74 | 74 | 73 | 74 | 73 | 76 | · | ||
| 5 | 74 | 73 | 73 | 74 | 73 | 79 | · | ||
| 6 | 73 | 72 | 73 | 76 | 73 | 69 | · | ||
| 7 | 72 | 74 | 71 | 71 | 71 | 72 | · | ||
| 8 | 72 | 71 | 74 | 71 | 74 | 69 | · | ||
| 9 | 71 | 72 | 74 | 72 | 74 | 65 | · |
- Mechanics75Laning75Teamfighting75Macro75Consistency82Versatility·
- Mechanics77Laning74Teamfighting77Macro74Consistency74Versatility·
- Mechanics78Laning72Teamfighting71Macro72Consistency80Versatility·
- Mechanics74Laning73Teamfighting74Macro73Consistency76Versatility·
- Mechanics73Laning73Teamfighting74Macro73Consistency79Versatility·
- Mechanics72Laning73Teamfighting76Macro73Consistency69Versatility·
- Mechanics74Laning71Teamfighting71Macro71Consistency72Versatility·
- Mechanics71Laning74Teamfighting71Macro74Consistency69Versatility·
- Mechanics72Laning74Teamfighting72Macro74Consistency65Versatility·
Axis leaders · records
Champion per stat
Overall distribution (9 members)mean 74·median 74
7176
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LPL Bot 2015 ranking at a glance
LPL Bot 2015 compares 9 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Deft, with an average of 76. In Mechanics, kRYST4L ranks highest. The overall average here is 74, ranging from 76 down to 71.
Frequently asked questions
- Who is ranked #1 in LPL Bot 2015?
- The overall #1 in LPL Bot 2015 is Deft, averaging 76.
- How many are compared in LPL Bot 2015?
- 9 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.