LCS player ranking
Active players who have played most of their games in LCS. The rating itself is still global — it is not recalculated inside the league. Only players with at least one game in the last twelve months. Data current as of September 19, 2026.
Ranked47
Rating1500 = Ø
Games29,935
-
2
Blaber
1638
Active #36 · #9 Jungle
-
1
Saint
1656
Active #83 · #17 Mid
-
3
Berserker
1633
Active #156 · #32 Bot
Player ranking
The rating comes first: 1500 is average, one standard deviation is 100 points. Everything else is context.
| # | Player | Rating | Role | Team | Games |
|---|---|---|---|---|---|
| 1 | 1656Active #83 · #17 Mid | Mid | 128 | ||
| 2 | 1638Active #36 · #9 Jungle | Jungle | 546 | ||
| 3 | 1633Active #156 · #32 Bot | Bot | 370 | ||
| 4 | 1623Active #52 · #13 Jungle | Jungle | 563 | ||
| 5 | 1617Active #68 · #15 Mid | Mid | 415 | ||
| 6 | Thanatos | 1616Active #70 · #15 Top | Top | 154 | |
| 7 | 1599Active #98 · #20 Mid | Mid | 244 | ||
| 8 | 1593Active #190 · #38 Jungle | Jungle | 249 | ||
| 9 | 1586Active #39 · #9 Bot | Bot | 799 | ||
| 10 | 1585Active #38 · #6 Support | Support | 910 | ||
| 11 | 1574Active #90 · #17 Bot | Bot | 292 | ||
| 12 | 1562Active #116 · #24 Support | Support | 756 | ||
| 13 | 1556Active #307 · #66 Support | Support | 206 | ||
| 14 | 1554Active #93 · #19 Mid | Mid | 230 | ||
| 15 | 1550Active #107 · #22 Support | Support | 606 | ||
| 16 | 1548Active #96 · #20 Support | Support | 332 | ||
| 17 | 1536Active #130 · #27 Support | Support | 62 | ||
| 18 | 1533Active #129 · #28 Jungle | Jungle | 81 | ||
| 19 | 1512Active #273 · #56 Top | Top | 108 | ||
| 20 | 1510Active #114 · #23 Bot | Bot | 233 | ||
| 21 | 1506Active #147 · #29 Bot | Bot | 275 | ||
| 22 | 1505Active #360 · #77 Top | Top | 338 | ||
| 23 | 1494Active #161 · #30 Mid | Mid | 94 | ||
| 24 | Kisno | 1494Active #202 · #41 Jungle | Jungle | 6 | |
| 25 | 1493Active #323 · #56 Mid | Mid | 285 | ||
| 26 | Mobility | 1491Active #218 · #44 Bot | Bot | 2 | |
| 27 | Breezy | 1490Active #240 · #50 Support | Support | 3 | |
| 28 | 1486Active #178 · #35 Top | Top | 67 | ||
| 29 | 1478Active #392 · #81 Jungle | Jungle | 152 | ||
| 30 | 1473Active #271 · #54 Bot | Bot | 125 | ||
| 31 | Denathor | 1469Active #292 · #61 Top | Top | 17 | |
| 32 | 1460Active #305 · #65 Support | Support | 11 | ||
| 33 | 1450Active #326 · #58 Mid | Mid | 87 | ||
| 34 | Zinie | 1445Active #328 · #59 Mid | Mid | 50 | |
| 35 | 1443Active #396 · #83 Jungle | Jungle | 103 | ||
| 36 | 1442Active #332 · #65 Bot | Bot | 175 | ||
| 37 | 1440Active #279 · #60 Support | Support | 258 | ||
| 38 | 1437Active #306 · #63 Top | Top | 421 | ||
| 39 | 1428Active #302 · #64 Support | Support | 606 | ||
| 40 | 1421Active #220 · #45 Bot | Bot | 460 | ||
| 41 | 1417Active #295 · #59 Jungle | Jungle | 520 | ||
| 42 | 1394Active #393 · #82 Jungle | Jungle | 105 | ||
| 43 | KryRa | 1393Active #382 · #80 Jungle | Jungle | 41 | |
| 44 | 1387Active #397 · #82 Support | Support | 99 | ||
| 45 | sajed | 1383Active #388 · #73 Bot | Bot | 47 | |
| 46 | 1371Active #65 · #13 Top | Top | 1,041 | ||
| 47 | 1356Active #417 · #80 Mid | Mid | 319 |
Method and limits
How it is computed
General principles — deliberately without fine-tuning details.
- Seasonal Elo: each map moves the rating — map result plus lane dominance. Published from the first map of the window. Scale centred on 1500.
- On 1 January, partial carry-over of the rating from one season to the next.
- Season (default) = Elo of the calendar year. Overall = average of season ratings, with a safety net for short careers. Current = Elo on ~6 months. Peak = best published season. 12 months / 2y / 5y = season average on that window, same safety net.
- This is not a match predictor — team Elo still wins there. A win rate mostly describes the club; the rating follows the player when he changes shirts.
- Only players with at least 40 recorded games are listed for overall.
Known limits
What this ranking cannot tell you. Worth reading before quoting it.
- This is not a match predictor. Evaluating a player and predicting a game pull in opposite directions.
- A player seen mostly with the same team-mates is harder to separate from them — the model pulls him toward average.
- Pre-2014 games have lineups but little individual stats: domination leans on the years that have them.
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