Ambessa — Professional League of Legends Statistics

Champions›Ambessa: Played as Top. 80 games, 47.5% WR, 20.9% PR, 11.7% BR, avg 2.07 KDA / 8.3 CS/m / 589 DPM.

Stats scoped to this event.

Ambessa — Professional League of Legends champion statistics

Ambessa is a League of Legends champion played primarily as Top. In 80 tracked professional games on draftlol.ai, Ambessahas won 38 (47.5% win rate). The champion is picked in 20.9% of games, banned in 11.7%, with a presence of 32.6% across drafts.

Per game, Ambessa averages 2.8 kills, 3.1 deaths and 3.8 assists (KDA 2.07), with 8.3 CS per minute, 589 damage per minute and a team damage share of 22.2%.

Role breakdown

RoleGamesWinsWin rateKDA
Top713549.3%1.97
Jungle9333.3%2.83

Top professional players on Ambessa

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

PlayerTeamGamesWin rateKDA
TracynTeam Heretics1241.7%2.50
MyrwnMovistar KOI1154.5%2.03
CannaKarmine Corp1060.0%1.88
MaynterNatus Vincere728.6%1.36
WunderSK Gaming633.3%1.39
BrokenBladeG2 Esports475.0%2.15
Naak NakoTeam Vitality475.0%2.00
OscarininGIANTX425.0%1.62
RhilechNatus Vincere450.0%5.22
SoboroFnatic450.0%2.50

Ambessa best matchups

Ambessa performs strongest against:

OpponentGamesWinsWin rate
Zaahen7685.7%
K'Sante8675.0%
Aatrox6350.0%
Gnar9333.3%
Rumble9333.3%

Ambessa worst matchups

Champions that historically counter Ambessa:

CounterGamesWinsWin rate
Gnar9333.3%
Rumble9333.3%
Aatrox6350.0%
K'Sante8675.0%
Zaahen7685.7%

Ambessa 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.

Ambessa
Ambessa
Top 89%Jungle 11%
80
Games
38W-42L
47.5%p25
Win rate
−3.1 vs. median
20.9%p90
Pick
11.7%p50
Ban
32.6% presence

Patch trend

26.0126.17

Height = games, colour = win rate. Grey: fewer than 10 games.

Role split

  • Top71g49.3%
  • Jungle9g—

Draft position

Real pick order (1-10), not the role

No data.

By league

  • LEC
    8048%

Core items

No data.

How has the team picking Ambessa done? See it in the simulator