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MSIRanking — Overall
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| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | X XnSMovistar KOI Fenix | 55 | 60 | 61 | 46 | 51 | 57 | 57 | |
| 2 | T TimeMovistar KOI Fenix | 49 | 53 | 41 | 56 | 50 | 44 | 50 | |
| 3 | b bluerzorUCAM Esports | 47 | 41 | 53 | 43 | 52 | 55 | 40 | |
| 4 | LuroxTeam Heretics Academy | 42 | 29 | 44 | 33 | 44 | 50 | 53 | |
| 5 | K KoIdoBarca eSports | 41 | 38 | 41 | 37 | 46 | 37 | 46 | |
| 6 | P PegasoLUA Gaming | 25 | 19 | 22 | 25 | 27 | 31 | 27 | |
| 7 | I IvamaUB Alma Mater | 24 | 39 | 24 | 38 | 20 | 12 | 12 | |
| 8 | C ClickerFalke Esports | 19 | 21 | 15 | 22 | 15 | 19 | 21 |
- Mechanics60Laning61Teamfighting46Macro51Consistency57Versatility57
- Mechanics53Laning41Teamfighting56Macro50Consistency44Versatility50
- Mechanics41Laning53Teamfighting43Macro52Consistency55Versatility40
- Mechanics29Laning44Teamfighting33Macro44Consistency50Versatility53
- Mechanics38Laning41Teamfighting37Macro46Consistency37Versatility46
- Mechanics19Laning22Teamfighting25Macro27Consistency31Versatility27
- Mechanics39Laning24Teamfighting38Macro20Consistency12Versatility12
- Mechanics21Laning15Teamfighting22Macro15Consistency19Versatility21
Axis leaders · records
Champion per stat
Overall distribution (8 members)mean 38·median 42
1955
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LES Jungle 2026 ranking at a glance
LES Jungle 2026 compares 8 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is XnS, with an average of 55. In Mechanics, XnS ranks highest. The overall average here is 38, ranging from 55 down to 19.
Frequently asked questions
- Who is ranked #1 in LES Jungle 2026?
- The overall #1 in LES Jungle 2026 is XnS, averaging 55.
- How many are compared in LES Jungle 2026?
- 8 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- XnS 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.