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MSIRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 88 | 89 | 86 | 82 | 89 | 89 | 95 | ||
| 2 | 83 | 82 | 88 | 71 | 82 | 88 | 89 | ||
| 3 | 79 | 82 | 95 | 73 | 70 | 73 | 82 | ||
| 4 | 79 | 76 | 74 | 74 | 91 | 80 | 80 | ||
| 5 | 77 | 68 | 67 | 71 | 70 | 98 | 88 | ||
| 6 | 71 | 76 | 53 | 82 | 79 | 68 | 68 | ||
| 7 | 63 | 81 | 72 | 66 | 60 | 46 | 54 | ||
| 8 | 59 | 55 | 50 | 67 | 62 | 67 | 50 | ||
| 9 | 59 | 56 | 62 | 65 | 48 | 60 | 63 | ||
| 10 | 58 | 55 | 69 | 66 | 63 | 48 | 45 |
- Mechanics89Laning86Teamfighting82Macro89Consistency89Versatility95
- Mechanics82Laning88Teamfighting71Macro82Consistency88Versatility89
- Mechanics82Laning95Teamfighting73Macro70Consistency73Versatility82
- Mechanics76Laning74Teamfighting74Macro91Consistency80Versatility80
- Mechanics68Laning67Teamfighting71Macro70Consistency98Versatility88
- Mechanics76Laning53Teamfighting82Macro79Consistency68Versatility68
- Mechanics81Laning72Teamfighting66Macro60Consistency46Versatility54
- Mechanics55Laning50Teamfighting67Macro62Consistency67Versatility50
- Mechanics56Laning62Teamfighting65Macro48Consistency60Versatility63
- Mechanics55Laning69Teamfighting66Macro63Consistency48Versatility45
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 72·median 77
5888
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LCK Support 2025 ranking at a glance
LCK Support 2025 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Keria, with an average of 88. In Mechanics, Keria ranks highest. The overall average here is 72, ranging from 88 down to 58.
Frequently asked questions
- Who is ranked #1 in LCK Support 2025?
- The overall #1 in LCK Support 2025 is Keria, averaging 88.
- How many are compared in LCK Support 2025?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Keria 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.