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MSIRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 69 | 74 | 69 | 47 | 74 | 74 | 74 | ||
| 2 | 62 | 61 | 65 | 58 | 59 | 62 | 64 | ||
| 3 | 52 | 55 | 55 | 46 | 52 | 54 | 49 | ||
| 4 | 51 | 44 | 54 | 48 | 54 | 48 | 57 | ||
| 5 | 47 | 40 | 47 | 47 | 55 | 47 | · | ||
| 6 | 46 | 49 | 43 | 46 | 49 | 42 | · | ||
| 7 | 39 | 36 | 44 | 44 | 33 | 41 | 38 | ||
| 8 | 37 | 42 | 36 | 46 | 30 | 36 | 30 | ||
| 9 | 32 | 36 | 29 | 39 | 26 | 27 | 35 | ||
| 10 | 32 | 30 | 29 | 35 | 35 | 35 | 30 |
- Mechanics74Laning69Teamfighting47Macro74Consistency74Versatility74
- Mechanics61Laning65Teamfighting58Macro59Consistency62Versatility64
- Mechanics55Laning55Teamfighting46Macro52Consistency54Versatility49
- Mechanics44Laning54Teamfighting48Macro54Consistency48Versatility57
- Mechanics40Laning47Teamfighting47Macro55Consistency47Versatility·
- Mechanics49Laning43Teamfighting46Macro49Consistency42Versatility·
- Mechanics36Laning44Teamfighting44Macro33Consistency41Versatility38
- Mechanics42Laning36Teamfighting46Macro30Consistency36Versatility30
- Mechanics36Laning29Teamfighting39Macro26Consistency27Versatility35
- Mechanics30Laning29Teamfighting35Macro35Consistency35Versatility30
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 47·median 47
3269
Hover or tap a bar to see who is in it
LCP Bot 2025 ranking at a glance
LCP Bot 2025 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Doggo, with an average of 69. In Mechanics, Doggo ranks highest. The overall average here is 47, ranging from 69 down to 32.
Frequently asked questions
- Who is ranked #1 in LCP Bot 2025?
- The overall #1 in LCP Bot 2025 is Doggo, averaging 69.
- How many are compared in LCP Bot 2025?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Doggo 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.