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MSIRanking — Overall
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| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | TatuFURIA | 48 | 46 | 43 | 45 | 43 | 57 | 55 | |
| 2 | S StepzRED Kalunga | 46 | 45 | 51 | 45 | 43 | 46 | 46 | |
| 3 | DrakeheroLos Grandes | 42 | 38 | 50 | 33 | 50 | 41 | 38 | |
| 4 | CurseLOS | 40 | 31 | 36 | 37 | 36 | 49 | 48 | |
| 5 | YoungJaeLOUD | 40 | 43 | 39 | 40 | 40 | 33 | 45 | |
| 6 | PeachFluxo W7M | 37 | 45 | 52 | 33 | 42 | 28 | 21 | |
| 7 | saroluVivo Keyd Stars | 34 | 34 | 33 | 39 | 39 | 25 | · | |
| 8 | DisamisVivo Keyd Stars | 32 | 36 | 29 | 30 | 26 | 42 | 29 | |
| 9 | CariokpaiN Gaming | 27 | 27 | 24 | 34 | 27 | 30 | 21 | |
| 10 | BookiLEVIATÁN | 25 | 24 | 19 | 30 | 22 | 19 | 34 |
- Mechanics46Laning43Teamfighting45Macro43Consistency57Versatility55
- Mechanics45Laning51Teamfighting45Macro43Consistency46Versatility46
- Mechanics38Laning50Teamfighting33Macro50Consistency41Versatility38
- Mechanics31Laning36Teamfighting37Macro36Consistency49Versatility48
- Mechanics43Laning39Teamfighting40Macro40Consistency33Versatility45
- Mechanics45Laning52Teamfighting33Macro42Consistency28Versatility21
- Mechanics34Laning33Teamfighting39Macro39Consistency25Versatility·
- Mechanics36Laning29Teamfighting30Macro26Consistency42Versatility29
- Mechanics27Laning24Teamfighting34Macro27Consistency30Versatility21
- Mechanics24Laning19Teamfighting30Macro22Consistency19Versatility34
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 37·median 40
2548
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CBLOL Jungle 2026 ranking at a glance
CBLOL Jungle 2026 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Tatu, with an average of 48. In Mechanics, Tatu ranks highest. The overall average here is 37, ranging from 48 down to 25.
Frequently asked questions
- Who is ranked #1 in CBLOL Jungle 2026?
- The overall #1 in CBLOL Jungle 2026 is Tatu, averaging 48.
- How many are compared in CBLOL Jungle 2026?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Tatu 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.