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MSIRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 72 | 77 | 75 | 71 | 56 | 74 | 77 | ||
| 2 | 72 | 72 | 58 | 58 | 73 | 85 | 88 | ||
| 3 | 68 | 59 | 85 | 67 | 50 | 79 | 68 | ||
| 4 | 63 | 60 | 66 | 50 | 54 | 72 | 77 | ||
| 5 | 60 | 55 | 61 | 64 | 67 | 57 | 57 | ||
| 6 | 56 | 61 | 49 | 55 | 68 | 53 | 49 | ||
| 7 | 54 | 44 | 57 | 51 | 68 | 50 | 56 | ||
| 8 | 52 | 58 | 49 | 58 | 51 | 48 | 46 | ||
| 9 | 48 | 53 | 50 | 57 | 42 | 44 | 41 | ||
| 10 | 46 | 48 | 43 | 52 | 54 | 37 | 40 |
- Mechanics77Laning75Teamfighting71Macro56Consistency74Versatility77
- Mechanics72Laning58Teamfighting58Macro73Consistency85Versatility88
- Mechanics59Laning85Teamfighting67Macro50Consistency79Versatility68
- Mechanics60Laning66Teamfighting50Macro54Consistency72Versatility77
- Mechanics55Laning61Teamfighting64Macro67Consistency57Versatility57
- Mechanics61Laning49Teamfighting55Macro68Consistency53Versatility49
- Mechanics44Laning57Teamfighting51Macro68Consistency50Versatility56
- Mechanics58Laning49Teamfighting58Macro51Consistency48Versatility46
- Mechanics53Laning50Teamfighting57Macro42Consistency44Versatility41
- Mechanics48Laning43Teamfighting52Macro54Consistency37Versatility40
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 59·median 60
4672
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LEC Bot 2025 ranking at a glance
LEC Bot 2025 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Hans Sama, with an average of 72. In Mechanics, Caliste ranks highest. The overall average here is 59, ranging from 72 down to 46.
Frequently asked questions
- Who is ranked #1 in LEC Bot 2025?
- The overall #1 in LEC Bot 2025 is Hans Sama, averaging 72.
- How many are compared in LEC Bot 2025?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Caliste 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.