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WorldsRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 86 | 85 | 89 | 77 | 77 | 95 | 94 | ||
| 2 | 83 | 85 | 83 | 89 | 70 | 82 | 91 | ||
| 3 | 79 | 75 | 69 | 73 | 76 | 85 | 97 | ||
| 4 | 78 | 77 | 87 | 77 | 57 | 74 | 93 | ||
| 5 | 76 | 79 | 86 | 74 | 73 | 73 | 71 | ||
| 6 | 70 | 61 | 57 | 64 | 76 | 75 | 88 | ||
| 7 | 69 | 70 | 84 | 67 | 48 | 54 | 93 | ||
| 8 | 62 | 64 | 56 | 61 | 70 | 44 | 74 | ||
| 9 | 60 | 61 | 58 | 63 | 55 | 54 | 69 | ||
| 10 | 43 | 41 | 34 | 43 | 35 | 56 | 49 |
- Mechanics85Laning89Teamfighting77Macro77Consistency95Versatility94
- Mechanics85Laning83Teamfighting89Macro70Consistency82Versatility91
- Mechanics75Laning69Teamfighting73Macro76Consistency85Versatility97
- Mechanics77Laning87Teamfighting77Macro57Consistency74Versatility93
- Mechanics79Laning86Teamfighting74Macro73Consistency73Versatility71
- Mechanics61Laning57Teamfighting64Macro76Consistency75Versatility88
- Mechanics70Laning84Teamfighting67Macro48Consistency54Versatility93
- Mechanics64Laning56Teamfighting61Macro70Consistency44Versatility74
- Mechanics61Laning58Teamfighting63Macro55Consistency54Versatility69
- Mechanics41Laning34Teamfighting43Macro35Consistency56Versatility49
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 71·median 76
4386
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MSI Mid 2025 ranking at a glance
MSI Mid 2025 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Chovy, with an average of 86. In Mechanics, Knight ranks highest. The overall average here is 71, ranging from 86 down to 43.
Frequently asked questions
- Who is ranked #1 in MSI Mid 2025?
- The overall #1 in MSI Mid 2025 is Chovy, averaging 86.
- How many are compared in MSI Mid 2025?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Knight 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.