Nautilus — Professional League of Legends Statistics

ChampionsNautilus·Played as Support. 42 games, 45.2% WR, 17.8% PR, 27.5% BR, avg 2.99 KDA / 1.0 CS/m / 175 DPM.

Stats scoped to this event.

Nautilus — Professional League of Legends champion statistics

Nautilus is a League of Legends champion played primarily as Support. In 42 tracked professional games on draftlol.ai, Nautilushas won 19 (45.2% win rate). The champion is picked in 17.8% of games, banned in 27.5%, with a presence of 45.3% across drafts.

Per game, Nautilus averages 0.6 kills, 3.1 deaths and 8.8 assists (KDA 2.99), with 1.0 CS per minute, 175 damage per minute and a team damage share of 6.6%.

Role breakdown

RoleGamesWinsWin rateKDA
Support421945.2%2.99

Top professional players on Nautilus

The most active and successful pro players on Nautilus in tracked games:

PlayerTeamGamesWin rateKDA
VulcanCloud91050.0%3.62
IslesLYON (2024 American Team)666.7%5.43
LyonzDisguised633.3%1.50
CryogenFlyQuest580.0%4.33
ZeyzalShopify Rebellion540.0%2.62
huhiSentinels30.0%2.40
CoreJJTeam Liquid250.0%3.00
IgNarDignitas20.0%1.38
BreezyDignitas10.0%2.75
CeosShopify Rebellion10.0%0.17

Nautilus best matchups

Nautilus performs strongest against:

OpponentGamesWinsWin rate
Rell4375.0%
Milio9555.6%
Leona4250.0%
Lulu5120.0%
Seraphine300.0%

Nautilus worst matchups

Champions that historically counter Nautilus:

CounterGamesWinsWin rate
Seraphine300.0%
Lulu5120.0%
Leona4250.0%
Milio9555.6%
Rell4375.0%

Nautilus professional League of Legends statistics database on draftlol.ai. Pick rate, win rate, ban rate, top players, role distribution and counter matchups across official competitions.

Nautilus
Nautilus
Support 100%
42
Partidas
19V-23D
45.2%p25
Winrate
-5.4 vs. mediana
17.8%p90
Pick
27.5%p90
Ban
45.3% presencia

Evolución por parche

26.0226.17

Altura = partidas · color = winrate. Gris: menos de 10 partidas.

Reparto por rol

  • Support42g45.2%

Posición de draft

Orden real de elección (1-10), no el rol

Sin datos.

Por liga

  • LCS
    4245%

Ítems núcleo

Sin datos.