Nocturne — Professional League of Legends Statistics

ChampionsNocturne·Played as Jungle. 48 games, 31.2% WR, 12.6% PR, 35.3% BR, avg 2.49 KDA / 7.0 CS/m / 420 DPM.

Stats scoped to this event.

Nocturne — Professional League of Legends champion statistics

Nocturne is a League of Legends champion played primarily as Jungle. In 48 tracked professional games on draftlol.ai, Nocturnehas won 15 (31.2% win rate). The champion is picked in 12.6% of games, banned in 35.3%, with a presence of 47.9% across drafts.

Per game, Nocturne averages 2.8 kills, 3.7 deaths and 6.4 assists (KDA 2.49), with 7.0 CS per minute, 420 damage per minute and a team damage share of 16.0%.

Role breakdown

RoleGamesWinsWin rateKDA
Jungle481531.2%2.49

Top professional players on Nocturne

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

PlayerTeamGamesWin rateKDA
ISMAGIANTX1040.0%3.48
ElyoyaMovistar KOI862.5%4.14
RazorkFnatic520.0%2.94
SkeanzSK Gaming50.0%1.24
DaglasTeam Heretics40.0%1.00
RhilechNatus Vincere333.3%3.36
SkewMondG2 Esports333.3%1.50
YikeKarmine Corp3100.0%4.18
BoukadaShifters20.0%1.12
LyncasTeam Vitality20.0%1.38

Nocturne best matchups

Nocturne performs strongest against:

OpponentGamesWinsWin rate
Vi9333.3%
Jarvan IV8225.0%
Xin Zhao5120.0%
Pantheon7114.3%
Zaahen400.0%

Nocturne worst matchups

Champions that historically counter Nocturne:

CounterGamesWinsWin rate
Zaahen400.0%
Pantheon7114.3%
Xin Zhao5120.0%
Jarvan IV8225.0%
Vi9333.3%

Nocturne 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.

Nocturne
Nocturne
Jungle 100%
48
Partidas
15V-33D
31.2%p25
Winrate
-19.4 vs. mediana
12.6%p50
Pick
35.3%p90
Ban
47.9% presencia

Evolución por parche

26.0226.17

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

Reparto por rol

  • Jungle48g31.2%

Posición de draft

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

Sin datos.

Por liga

  • LEC
    4831%

Ítems núcleo

Sin datos.