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
- 2 uZent 1524 Active #144 · #31 Support
-
1
Tatu
1528
Active #124 · #26 Jungle
- 3 Xyno 1522 Active #143 · #31 Top
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 | 1528Active #124 · #26 Jungle | Jungle | 84 | ||
| 2 | uZent | 1524Active #144 · #31 Support | Support | 16 | |
| 3 | Xyno | 1522Active #143 · #31 Top | Top | 16 | |
| 4 | Feisty | 1521Active #173 · #32 Mid | Mid | 20 | |
| 5 | 1520Active #171 · #34 Top | Top | 103 | ||
| 6 | 1520Active #226 · #48 Support | Support | 93 | ||
| 7 | 1519Active #224 · #47 Support | Support | 103 | ||
| 8 | 1518Active #135 · #30 Jungle | Jungle | 85 | ||
| 9 | Duduhh | 1516Active #152 · #30 Bot | Bot | 17 | |
| 10 | 1514Active #136 · #26 Bot | Bot | 85 | ||
| 11 | Sinatra | 1514Active #153 · #32 Jungle | Jungle | 16 | |
| 12 | Kaze (Lucas Fe) | 1514Active #154 · #28 Mid | Mid | 16 | |
| 13 | 1511Active #172 · #35 Jungle | Jungle | 58 | ||
| 14 | 1508Active #166 · #31 Mid | Mid | 88 | ||
| 15 | scamber | 1502Active #174 · #35 Support | Support | 18 | |
| 16 | 1499Active #192 · #38 Top | Top | 88 | ||
| 17 | Namiru | 1499Active #183 · #35 Mid | Mid | 11 | |
| 18 | Rabelo | 1498Active #246 · #49 Bot | Bot | 51 | |
| 19 | Enga | 1492Active #211 · #39 Mid | Mid | 19 | |
| 20 | Devost | 1492Active #212 · #43 Top | Top | 10 | |
| 21 | Manel | 1489Active #234 · #49 Support | Support | 16 | |
| 22 | zynts | 1488Active #232 · #47 Top | Top | 16 | |
| 23 | STEPZ (Eloy Rodríguez) | 1488Active #233 · #47 Jungle | Jungle | 16 | |
| 24 | Shini | 1486Active #304 · #62 Jungle | Jungle | 41 | |
| 25 | zekas | 1484Active #247 · #49 Top | Top | 16 | |
| 26 | Shiku | 1484Active #251 · #53 Support | Support | 10 | |
| 27 | 1482Active #381 · #70 Mid | Mid | 129 | ||
| 28 | Strensh | 1481Active #262 · #52 Bot | Bot | 10 | |
| 29 | Booki | 1480Active #261 · #54 Jungle | Jungle | 10 | |
| 30 | Momochi | 1479Active #259 · #56 Support | Support | 14 | |
| 31 | 1477Active #291 · #59 Bot | Bot | 88 | ||
| 32 | 1470Active #317 · #64 Jungle | Jungle | 99 | ||
| 33 | 1470Active #349 · #64 Mid | Mid | 68 | ||
| 34 | Envy | 1469Active #310 · #54 Mid | Mid | 37 | |
| 35 | 1458Active #354 · #75 Support | Support | 78 | ||
| 36 | Fuuu | 1453Active #341 · #63 Mid | Mid | 46 | |
| 37 | 1433Active #371 · #81 Top | Top | 58 |
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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