Tier list / Support / Blitzcrank / vs Nautilus

Blitzcrank vs Nautilus

You playBlitzcrank

Tier 151% win#3 support

Blitzcrank full build

Blitzcrank favoured

52.2%

4,436 games across 3 sites, up to 2.7 points apart

AgainstNautilus

49% win#13 supportTier 2

Nautilus full build
52.2%47.8%

How to play it

Nautilus’s Dredge Line (Q) has better range than you expect. As both champions are melee champions, it is important to get to level 2 first. Get to level 2 first rather than wasting your skills on level 1!

Lane tip from this patch's games, play even

Against your usual Blitzcrank

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

Full build into Nautilus

Support lane, this patch's games

Start

Health PotionHealth Potion

54.0% win95% pick

Spells

FlashIgnite

52.5% win68% pick

Runes

Glacial AugmentHextech FlashtraptionBiscuit DeliveryCosmic InsightCelerityNimbus CloakAbility HasteHealth ScalingHealth Scaling

52.4% win37% pick

Boots

Boots of Swiftness

53.4% win77% pick

Core

Locket of the Iron SolariZeke's ConvergenceBandlepipes

59.5% win10% pick

Skills

FirstQEW

MaxQEW

Sample A51.7%1,232 games
Sample B54.4%1,806 games
Sample C52.0%1,398 games−73 gold at 15
See this lane as Nautilus

Blitzcrank's easiest lanes

Blitzcrank's win rate. Rare opponents rank lower.

  1. Mel435 games63.6%
  2. Pantheon1,328 games56.9%
  3. Yuumi2,367 games55.5%
  4. Lux3,231 games55.0%
  5. Bard1,742 games54.3%

Blitzcrank's hardest lanes

Blitzcrank's win rate. Rare opponents rank lower.

  1. Alistar3,518 games45.7%
  2. Braum2,596 games46.7%
  3. Zilean951 games45.5%
  4. Leona3,961 games48.2%
  5. Maokai781 games46.6%

Who beats Nautilus

Their win rate into Nautilus. Rare opponents rank lower.

  1. Rell3,810 games57.0%
  2. Alistar5,832 games55.6%
  3. Rakan2,915 games55.7%
  4. Braum5,801 games55.0%
  5. Seraphine3,771 games54.0%

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.