LPL
LEC
LCS
PCS
VCS
Worlds
MSIRanking — Overall
Play VSTick two checkboxes to compare them
| # | Name | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 88 | 88 | 94 | 76 | 79 | 94 | 94 | ||
| 2 | 85 | 83 | 83 | 74 | 92 | 85 | 92 | ||
| 3 | 80 | 89 | 88 | 70 | 83 | 76 | 76 | ||
| 4 | 78 | 78 | 81 | 72 | 69 | 82 | 87 | ||
| 5 | 77 | 62 | 77 | 77 | 62 | 95 | 89 | ||
| 6 | 75 | 81 | 89 | 74 | 65 | 68 | 74 | ||
| 7 | 72 | 77 | 63 | 87 | 75 | 65 | 65 | ||
| 8 | 69 | 67 | 63 | 79 | 70 | 73 | 61 | ||
| 9 | 64 | 64 | 63 | 70 | 85 | 51 | 51 | ||
| 10 | 63 | 62 | 53 | 69 | 68 | 63 | 63 |
- Mechanics88Laning94Teamfighting76Macro79Consistency94Versatility94
- Mechanics83Laning83Teamfighting74Macro92Consistency85Versatility92
- Mechanics89Laning88Teamfighting70Macro83Consistency76Versatility76
- Mechanics78Laning81Teamfighting72Macro69Consistency82Versatility87
- Mechanics62Laning77Teamfighting77Macro62Consistency95Versatility89
- Mechanics81Laning89Teamfighting74Macro65Consistency68Versatility74
- Mechanics77Laning63Teamfighting87Macro75Consistency65Versatility65
- Mechanics67Laning63Teamfighting79Macro70Consistency73Versatility61
- Mechanics64Laning63Teamfighting70Macro85Consistency51Versatility51
- Mechanics62Laning53Teamfighting69Macro68Consistency63Versatility63
Axis leaders · records
Champion per stat
Overall distribution (10 members)mean 75·median 77
6388
Hover or tap a bar to see who is in it
LCK Mid 2023 ranking at a glance
LCK Mid 2023 compares 10 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Chovy, with an average of 88. In Mechanics, Zeka ranks highest. The overall average here is 75, ranging from 88 down to 63.
Frequently asked questions
- Who is ranked #1 in LCK Mid 2023?
- The overall #1 in LCK Mid 2023 is Chovy, averaging 88.
- How many are compared in LCK Mid 2023?
- 10 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
- Who leads in Mechanics?
- Zeka 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.