Tier list / Top / Aatrox / vs Gangplank

Aatrox vs Gangplank

You playAatrox

Tier 250% win#13 top

Aatrox full build

Aatrox favoured

53.9%

2,100 games across 3 sites, up to 1.2 points apart

AgainstGangplank

51% win#4 topTier 2

Gangplank full build
53.9%46.1%

How to play it

Avoid being hit with Gangplank’s Grasp of the Undying – (Q) by hiding inside brushes or maintaining your distance. Be careful of his Powder Keg (E) while using your skills whenever they come off cooldown to deal burst damage.

Lane tip from this patch's games, play aggressive

Against your usual Aatrox

  • StartDoran's Shield + Health Potionusually Doran's Blade + Health Potion

Same as usual: keystone, spells, boots, core, max order

Full build into Gangplank

Top lane, this patch's games

Start

Doran's ShieldHealth Potion

52.9% win70% pick

Spells

FlashIgnite

54.4% win77% pick

Runes

ConquerorTriumphLegend: HasteLast StandRevitalizeBone PlatingAdaptive ForceAdaptive ForceHealth Scaling

50.7% win31% pick

Boots

Plated Steelcaps

53.3% win85% pick

Core

EclipseSundered SkyDeath's Dance

46.4% win15% pick

Skills

FirstQEW

MaxQEW

Sample A54.1%567 games
Sample B54.3%864 games
Sample C55.3%669 games+345 gold at 15
See this lane as Gangplank

Aatrox's easiest lanes

Aatrox's win rate. Rare opponents rank lower.

  1. Rumble744 games55.8%
  2. Gangplank2,100 games53.9%
  3. Dr. Mundo1,270 games54.1%
  4. Kled670 games54.1%
  5. Urgot794 games53.6%

Aatrox's hardest lanes

Aatrox's win rate. Rare opponents rank lower.

  1. Malphite2,196 games43.6%
  2. Sett2,369 games45.6%
  3. Heimerdinger458 games43.2%
  4. Singed736 games45.7%
  5. Irelia2,028 games47.3%

Who beats Gangplank

Their win rate into Gangplank. Rare opponents rank lower.

  1. Kayle800 games56.0%
  2. Sion1,411 games54.8%
  3. Gwen722 games55.6%
  4. Aatrox2,100 games53.9%
  5. Gragas724 games54.2%

Numbers from Sample A (collected 6 Nov), Sample B (Emerald+, collected 6 Nov) and Sample C (Emerald+, collected 6 Nov), ranked Solo/Duo, patch 16.22. Combined win rates weight each sample by its games. Next Queue doesn't collect these games itself.