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LTA Sud player ranking

Active players who have played most of their games in LTA Sud. 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.

Ranked37
Rating1500 = Ø
Games29,935
  1. 2 uZent 1524 Active #144 · #31 Support Support · LOUD
  2. 1Tatu Tatu 1528 Active #124 · #26 Jungle Jungle · FURIA
  3. 3 Xyno 1522 Active #143 · #31 Top Top · LOUD

Player ranking

The rating comes first: 1500 is average, one standard deviation is 100 points. Everything else is context.

#PlayerRatingRoleTeamGames
1TatuTatu1528Active #124 · #26 JungleJungleFURIA84
2uZent1524Active #144 · #31 SupportSupportLOUD16
3Xyno1522Active #143 · #31 TopTopLOUD16
4Feisty1521Active #173 · #32 MidMidLØS20
5GuigoGuigo1520Active #171 · #34 TopTopFURIA103
6AckermanAckerman1520Active #226 · #48 SupportSupportLØS93
7JoJoJoJo1519Active #224 · #47 SupportSupportFURIA103
8DisamisDisamis1518Active #135 · #30 JungleJungleVivo Keyd Stars85
9Duduhh1516Active #152 · #30 BotBotLØS17
10MorttheusMorttheus1514Active #136 · #26 BotBotRED Canids85
11Sinatra1514Active #153 · #32 JungleJungleLOUD16
12Kaze (Lucas Fe)1514Active #154 · #28 MidMidLOUD16
13CurseCurse1511Active #172 · #35 JungleJungleLØS58
14TutszTutsz1508Active #166 · #31 MidMidFURIA88
15scamber1502Active #174 · #35 SupportSupportVivo Keyd Stars18
16BoalBoal1499Active #192 · #38 TopToppaiN Gaming88
17Namiru1499Active #183 · #35 MidMidpaiN Gaming11
18Rabelo1498Active #246 · #49 BotBotLOUD51
19Enga1492Active #211 · #39 MidMidLeviatan19
20Devost1492Active #212 · #43 TopTopLeviatan10
21Manel1489Active #234 · #49 SupportSupportRED Canids16
22zynts1488Active #232 · #47 TopTopRED Canids16
23STEPZ (Eloy Rodríguez)1488Active #233 · #47 JungleJungleRED Canids16
24Shini1486Active #304 · #62 JungleJungleFURIA41
25zekas1484Active #247 · #49 TopTopVivo Keyd Stars16
26Shiku1484Active #251 · #53 SupportSupportLeviatan10
27MireuMireu1482Active #381 · #70 MidMidVivo Keyd Stars129
28Strensh1481Active #262 · #52 BotBotLeviatan10
29Booki1480Active #261 · #54 JungleJungleLeviatan10
30Momochi1479Active #259 · #56 SupportSupportFluxo W7M14
31AyuAyu1477Active #291 · #59 BotBotFURIA88
32CarioKCarioK1470Active #317 · #64 JungleJunglepaiN Gaming99
33codycody1470Active #349 · #64 MidMidFluxo W7M68
34Envy1469Active #310 · #54 MidMidLOUD37
35RedBertRedBert1458Active #354 · #75 SupportSupportLOUD78
36Fuuu1453Active #341 · #63 MidMidRED Canids46
37ZothveZothve1433Active #371 · #81 TopTopFluxo W7M58
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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