Ranking — Overall
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| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 78 | 72 | 71 | 75 | 71 | 86 | 90 | ||
| 2 | 77 | 76 | 68 | 68 | 68 | 91 | 91 | ||
| 3 | 74 | 73 | 74 | 77 | 74 | 77 | 68 | ||
| 4 | 74 | 70 | 73 | 79 | 73 | 74 | 73 | ||
| 5 | 73 | 73 | 70 | 64 | 70 | 75 | 85 | ||
| 6 | F | 72 | 76 | 73 | 76 | 73 | 75 | 60 | |
| 7 | 72 | 72 | 74 | 71 | 74 | 77 | 63 | ||
| 8 | 72 | 75 | 75 | 67 | 75 | 57 | 84 | ||
| 9 | 71 | 80 | 74 | 76 | 74 | 68 | 53 | ||
| 10 | 71 | 70 | 74 | 71 | 74 | 68 | 70 | ||
| 11 | 71 | 68 | 74 | 73 | 74 | 56 | 79 |
- Mechanics72Laning71Teamfighting75Macro71Consistency86Versatility90
- Mechanics76Laning68Teamfighting68Macro68Consistency91Versatility91
- Mechanics73Laning74Teamfighting77Macro74Consistency77Versatility68
- Mechanics70Laning73Teamfighting79Macro73Consistency74Versatility73
- Mechanics73Laning70Teamfighting64Macro70Consistency75Versatility85
- Mechanics76Laning73Teamfighting76Macro73Consistency75Versatility60
- Mechanics72Laning74Teamfighting71Macro74Consistency77Versatility63
- Mechanics75Laning75Teamfighting67Macro75Consistency57Versatility84
- Mechanics80Laning74Teamfighting76Macro74Consistency68Versatility53
- Mechanics70Laning74Teamfighting71Macro74Consistency68Versatility70
- Mechanics68Laning74Teamfighting73Macro74Consistency56Versatility79
Axis leaders · records
Champion per stat
Overall distribution (11 members)mean 73·median 72
7178
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LPL Bot 2017 ranking at a glance
LPL Bot 2017 compares 11 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Mystic, with an average of 78. In Mechanics, Lwx ranks highest. The overall average here is 73, ranging from 78 down to 71.
Frequently asked questions
- Who is ranked #1 in LPL Bot 2017?
- The overall #1 in LPL Bot 2017 is Mystic, averaging 78.
- How many are compared in LPL Bot 2017?
- 11 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Lwx 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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