Best Nautilus Support Counters

Low Elo data lists Taric Support, Swain Support, Leona Support, Braum Support, Rell Support, Shen Support, Alistar Support, Rakan Support, Morgana Support, and Renata Glasc Support as the strongest counters for Nautilus Support. Nautilus Support is listed as favorable into Yuumi Support, Mel Support, Xerath Support, LeBlanc Support, Teemo Support, Zoe Support, Karma Support, Pyke Support, Ashe Support, and Sona Support. The detailed info below lists each matchup with observed win rate, expected win rate delta, sample size, rank scope, and patch window.

Updated 2026-11-15. Data is current for LoL patch 26.22 (all regions, low elo and high elo).

Nautilus Support matchup tips

  1. Nautilus Support vs Kai'Sa ADC - After Kai'Sa lands with Killer Instinct(R), root her with Staggering Blow(P) or cast Depth Charge(R) if she is in range, then follow up with your team.
  2. Nautilus Support vs Jinx ADC - After reaching level 6, lead your engage with Depth Charge(R) to knock Jinx airborne first, giving you a guaranteed window to walk up and land Dredge Line(Q) and Staggering Blow(P).
  3. Nautilus vs Leona Support - Leona is the sturdier, harder-hitting all-in support in this matchup. Players recommend absorbing Nautilus's hook and fighting front-to-front, where Leona can survive his engage and win the extended 2v2.
  4. Nautilus vs Zilean Support - Threaten Zilean with Dredge Line(Q) from beyond his Time Bomb(Q) range and use Titan's Wrath(W) to absorb his poke.
  5. Nautilus Support vs Viktor ADC - Use Depth Charge(R) to force Viktor to respond even when minions block your hook, and commit when your lane partner can follow up on the knock-up.

Top 10 Low Elo Nautilus Support same-role counters

  1. Taric Support - Low Elo data: Nautilus Support vs Taric Support, 43.3% observed win rate, -3.2 percentage points vs expected, 3,386 games, 3-patch window 26.20-26.22.
  2. Swain Support - Low Elo data: Nautilus Support vs Swain Support, 47.1% observed win rate, -2.8 percentage points vs expected, 11,258 games, 3-patch window 26.20-26.22.
  3. Leona Support - Low Elo data: Nautilus Support vs Leona Support, 44.9% observed win rate, -2.5 percentage points vs expected, 25,319 games, 3-patch window 26.20-26.22.
  4. Braum Support - Low Elo data: Nautilus Support vs Braum Support, 45.6% observed win rate, -2.1 percentage points vs expected, 12,561 games, 3-patch window 26.20-26.22.
  5. Rell Support - Low Elo data: Nautilus Support vs Rell Support, 46.0% observed win rate, -1.9 percentage points vs expected, 10,165 games, 3-patch window 26.20-26.22.
  6. Shen Support - Low Elo data: Nautilus Support vs Shen Support, 47.7% observed win rate, -1.6 percentage points vs expected, 1,931 games, 3-patch window 26.20-26.22.
  7. Alistar Support - Low Elo data: Nautilus Support vs Alistar Support, 47.4% observed win rate, -1.5 percentage points vs expected, 11,790 games, 3-patch window 26.20-26.22.
  8. Rakan Support - Low Elo data: Nautilus Support vs Rakan Support, 47.9% observed win rate, -1.1 percentage points vs expected, 6,673 games, 3-patch window 26.20-26.22.
  9. Morgana Support - Low Elo data: Nautilus Support vs Morgana Support, 47.6% observed win rate, -1.0 percentage points vs expected, 17,008 games, 3-patch window 26.20-26.22.
  10. Renata Glasc Support - Low Elo data: Nautilus Support vs Renata Glasc Support, 48.0% observed win rate, -0.8 percentage points vs expected, 3,108 games, 3-patch window 26.20-26.22.

Top 10 Low Elo champions Nautilus Support is good against

  1. Yuumi Support - Low Elo data: Nautilus Support vs Yuumi Support, 55.4% observed win rate, +4.2 percentage points vs expected, 10,300 games, 3-patch window 26.20-26.22.
  2. Mel Support - Low Elo data: Nautilus Support vs Mel Support, 59.1% observed win rate, +2.9 percentage points vs expected, 2,509 games, 3-patch window 26.20-26.22.
  3. Xerath Support - Low Elo data: Nautilus Support vs Xerath Support, 52.1% observed win rate, +2.7 percentage points vs expected, 7,785 games, 3-patch window 26.20-26.22.
  4. LeBlanc Support - Low Elo data: Nautilus Support vs LeBlanc Support, 52.8% observed win rate, +2.6 percentage points vs expected, 1,430 games, 3-patch window 26.20-26.22.
  5. Teemo Support - Low Elo data: Nautilus Support vs Teemo Support, 52.9% observed win rate, +2.4 percentage points vs expected, 1,994 games, 3-patch window 26.20-26.22.
  6. Zoe Support - Low Elo data: Nautilus Support vs Zoe Support, 54.6% observed win rate, +2.4 percentage points vs expected, 1,120 games, 3-patch window 26.20-26.22.
  7. Karma Support - Low Elo data: Nautilus Support vs Karma Support, 53.0% observed win rate, +2.3 percentage points vs expected, 9,167 games, 3-patch window 26.20-26.22.
  8. Pyke Support - Low Elo data: Nautilus Support vs Pyke Support, 53.1% observed win rate, +2.1 percentage points vs expected, 11,707 games, 3-patch window 26.20-26.22.
  9. Ashe Support - Low Elo data: Nautilus Support vs Ashe Support, 54.8% observed win rate, +2.0 percentage points vs expected, 2,456 games, 3-patch window 26.20-26.22.
  10. Sona Support - Low Elo data: Nautilus Support vs Sona Support, 49.9% observed win rate, +1.9 percentage points vs expected, 3,741 games, 3-patch window 26.20-26.22.

Top 10 Low Elo Nautilus Support all-role counters

  1. Swain ADC - Low Elo data: Nautilus Support vs Swain ADC, 38.9% observed win rate, -4.2 percentage points vs expected, 1,770 games, 3-patch window 26.20-26.22.
  2. Taric Support - Low Elo data: Nautilus Support vs Taric Support, 43.3% observed win rate, -3.2 percentage points vs expected, 3,386 games, 3-patch window 26.20-26.22.
  3. Swain Support - Low Elo data: Nautilus Support vs Swain Support, 47.1% observed win rate, -2.8 percentage points vs expected, 11,258 games, 3-patch window 26.20-26.22.
  4. Sivir ADC - Low Elo data: Nautilus Support vs Sivir ADC, 45.8% observed win rate, -2.6 percentage points vs expected, 9,652 games, 3-patch window 26.20-26.22.
  5. Xayah ADC - Low Elo data: Nautilus Support vs Xayah ADC, 45.2% observed win rate, -2.6 percentage points vs expected, 14,719 games, 3-patch window 26.20-26.22.
  6. Leona Support - Low Elo data: Nautilus Support vs Leona Support, 44.9% observed win rate, -2.5 percentage points vs expected, 25,319 games, 3-patch window 26.20-26.22.
  7. Nilah ADC - Low Elo data: Nautilus Support vs Nilah ADC, 44.6% observed win rate, -2.1 percentage points vs expected, 2,161 games, 3-patch window 26.20-26.22.
  8. Braum Support - Low Elo data: Nautilus Support vs Braum Support, 45.6% observed win rate, -2.1 percentage points vs expected, 12,561 games, 3-patch window 26.20-26.22.
  9. Rell Support - Low Elo data: Nautilus Support vs Rell Support, 46.0% observed win rate, -1.9 percentage points vs expected, 10,165 games, 3-patch window 26.20-26.22.
  10. Corki ADC - Low Elo data: Nautilus Support vs Corki ADC, 48.2% observed win rate, -1.7 percentage points vs expected, 3,259 games, 3-patch window 26.20-26.22.

Top 10 Low Elo all-role champions Nautilus Support is good against

  1. Yuumi Support - Low Elo data: Nautilus Support vs Yuumi Support, 55.4% observed win rate, +4.2 percentage points vs expected, 10,300 games, 3-patch window 26.20-26.22.
  2. Mel Support - Low Elo data: Nautilus Support vs Mel Support, 59.1% observed win rate, +2.9 percentage points vs expected, 2,509 games, 3-patch window 26.20-26.22.
  3. Xerath Support - Low Elo data: Nautilus Support vs Xerath Support, 52.1% observed win rate, +2.7 percentage points vs expected, 7,785 games, 3-patch window 26.20-26.22.
  4. LeBlanc Support - Low Elo data: Nautilus Support vs LeBlanc Support, 52.8% observed win rate, +2.6 percentage points vs expected, 1,430 games, 3-patch window 26.20-26.22.
  5. Teemo Support - Low Elo data: Nautilus Support vs Teemo Support, 52.9% observed win rate, +2.4 percentage points vs expected, 1,994 games, 3-patch window 26.20-26.22.
  6. Zoe Support - Low Elo data: Nautilus Support vs Zoe Support, 54.6% observed win rate, +2.4 percentage points vs expected, 1,120 games, 3-patch window 26.20-26.22.
  7. Karma Support - Low Elo data: Nautilus Support vs Karma Support, 53.0% observed win rate, +2.3 percentage points vs expected, 9,167 games, 3-patch window 26.20-26.22.
  8. Pyke Support - Low Elo data: Nautilus Support vs Pyke Support, 53.1% observed win rate, +2.1 percentage points vs expected, 11,707 games, 3-patch window 26.20-26.22.
  9. Ashe Support - Low Elo data: Nautilus Support vs Ashe Support, 54.8% observed win rate, +2.0 percentage points vs expected, 2,456 games, 3-patch window 26.20-26.22.
  10. Sona Support - Low Elo data: Nautilus Support vs Sona Support, 49.9% observed win rate, +1.9 percentage points vs expected, 3,741 games, 3-patch window 26.20-26.22.

Top 10 High Elo Nautilus Support same-role counters

  1. Swain Support - High Elo data: Nautilus Support vs Swain Support, 47.4% observed win rate, -3.1 percentage points vs expected, 3,164 games, 3-patch window 26.20-26.22.
  2. Taric Support - High Elo data: Nautilus Support vs Taric Support, 43.6% observed win rate, -2.7 percentage points vs expected, 2,132 games, 3-patch window 26.20-26.22.
  3. Renata Glasc Support - High Elo data: Nautilus Support vs Renata Glasc Support, 45.8% observed win rate, -2.7 percentage points vs expected, 3,076 games, 3-patch window 26.20-26.22.
  4. Rell Support - High Elo data: Nautilus Support vs Rell Support, 43.7% observed win rate, -2.6 percentage points vs expected, 8,917 games, 3-patch window 26.20-26.22.
  5. Braum Support - High Elo data: Nautilus Support vs Braum Support, 45.1% observed win rate, -2.1 percentage points vs expected, 14,546 games, 3-patch window 26.20-26.22.
  6. Leona Support - High Elo data: Nautilus Support vs Leona Support, 45.5% observed win rate, -2.1 percentage points vs expected, 12,601 games, 3-patch window 26.20-26.22.
  7. Alistar Support - High Elo data: Nautilus Support vs Alistar Support, 45.5% observed win rate, -1.8 percentage points vs expected, 12,782 games, 3-patch window 26.20-26.22.
  8. Rakan Support - High Elo data: Nautilus Support vs Rakan Support, 46.3% observed win rate, -1.7 percentage points vs expected, 6,582 games, 3-patch window 26.20-26.22.
  9. Galio Support - High Elo data: Nautilus Support vs Galio Support, 46.3% observed win rate, -1.1 percentage points vs expected, 1,118 games, 3-patch window 26.20-26.22.
  10. Morgana Support - High Elo data: Nautilus Support vs Morgana Support, 48.8% observed win rate, -1.1 percentage points vs expected, 5,860 games, 3-patch window 26.20-26.22.

Top 10 High Elo champions Nautilus Support is good against

  1. Yuumi Support - High Elo data: Nautilus Support vs Yuumi Support, 56.1% observed win rate, +4.0 percentage points vs expected, 8,463 games, 3-patch window 26.20-26.22.
  2. LeBlanc Support - High Elo data: Nautilus Support vs LeBlanc Support, 54.8% observed win rate, +2.6 percentage points vs expected, 1,003 games, 3-patch window 26.20-26.22.
  3. Zoe Support - High Elo data: Nautilus Support vs Zoe Support, 55.6% observed win rate, +2.3 percentage points vs expected, 1,194 games, 3-patch window 26.20-26.22.
  4. Karma Support - High Elo data: Nautilus Support vs Karma Support, 53.1% observed win rate, +2.2 percentage points vs expected, 12,466 games, 3-patch window 26.20-26.22.
  5. Pyke Support - High Elo data: Nautilus Support vs Pyke Support, 51.9% observed win rate, +2.1 percentage points vs expected, 8,406 games, 3-patch window 26.20-26.22.
  6. Milio Support - High Elo data: Nautilus Support vs Milio Support, 51.6% observed win rate, +2.1 percentage points vs expected, 7,453 games, 3-patch window 26.20-26.22.
  7. Xerath Support - High Elo data: Nautilus Support vs Xerath Support, 53.3% observed win rate, +1.6 percentage points vs expected, 3,033 games, 3-patch window 26.20-26.22.
  8. Nami Support - High Elo data: Nautilus Support vs Nami Support, 50.2% observed win rate, +1.5 percentage points vs expected, 11,282 games, 3-patch window 26.20-26.22.
  9. Sylas Support - High Elo data: Nautilus Support vs Sylas Support, 52.6% observed win rate, +1.4 percentage points vs expected, 1,708 games, 3-patch window 26.20-26.22.
  10. Zyra Support - High Elo data: Nautilus Support vs Zyra Support, 51.9% observed win rate, +1.3 percentage points vs expected, 1,863 games, 3-patch window 26.20-26.22.

Top 10 High Elo Nautilus Support all-role counters

  1. Swain Support - High Elo data: Nautilus Support vs Swain Support, 47.4% observed win rate, -3.1 percentage points vs expected, 3,164 games, 3-patch window 26.20-26.22.
  2. Xayah ADC - High Elo data: Nautilus Support vs Xayah ADC, 44.1% observed win rate, -2.9 percentage points vs expected, 13,324 games, 3-patch window 26.20-26.22.
  3. Swain ADC - High Elo data: Nautilus Support vs Swain ADC, 41.8% observed win rate, -2.7 percentage points vs expected, 1,473 games, 3-patch window 26.20-26.22.
  4. Taric Support - High Elo data: Nautilus Support vs Taric Support, 43.6% observed win rate, -2.7 percentage points vs expected, 2,132 games, 3-patch window 26.20-26.22.
  5. Renata Glasc Support - High Elo data: Nautilus Support vs Renata Glasc Support, 45.8% observed win rate, -2.7 percentage points vs expected, 3,076 games, 3-patch window 26.20-26.22.
  6. Rell Support - High Elo data: Nautilus Support vs Rell Support, 43.7% observed win rate, -2.6 percentage points vs expected, 8,917 games, 3-patch window 26.20-26.22.
  7. Sivir ADC - High Elo data: Nautilus Support vs Sivir ADC, 45.9% observed win rate, -2.5 percentage points vs expected, 7,432 games, 3-patch window 26.20-26.22.
  8. Braum Support - High Elo data: Nautilus Support vs Braum Support, 45.1% observed win rate, -2.1 percentage points vs expected, 14,546 games, 3-patch window 26.20-26.22.
  9. Leona Support - High Elo data: Nautilus Support vs Leona Support, 45.5% observed win rate, -2.1 percentage points vs expected, 12,601 games, 3-patch window 26.20-26.22.
  10. Yunara ADC - High Elo data: Nautilus Support vs Yunara ADC, 47.7% observed win rate, -1.8 percentage points vs expected, 15,398 games, 3-patch window 26.20-26.22.

Top 10 High Elo all-role champions Nautilus Support is good against

  1. Yuumi Support - High Elo data: Nautilus Support vs Yuumi Support, 56.1% observed win rate, +4.0 percentage points vs expected, 8,463 games, 3-patch window 26.20-26.22.
  2. LeBlanc Support - High Elo data: Nautilus Support vs LeBlanc Support, 54.8% observed win rate, +2.6 percentage points vs expected, 1,003 games, 3-patch window 26.20-26.22.
  3. Zoe Support - High Elo data: Nautilus Support vs Zoe Support, 55.6% observed win rate, +2.3 percentage points vs expected, 1,194 games, 3-patch window 26.20-26.22.
  4. Karma Support - High Elo data: Nautilus Support vs Karma Support, 53.1% observed win rate, +2.2 percentage points vs expected, 12,466 games, 3-patch window 26.20-26.22.
  5. Kha'Zix Jungle - High Elo data: Nautilus Support vs Kha'Zix Jungle, 52.0% observed win rate, +2.1 percentage points vs expected, 9,092 games, 3-patch window 26.20-26.22.
  6. Pyke Support - High Elo data: Nautilus Support vs Pyke Support, 51.9% observed win rate, +2.1 percentage points vs expected, 8,406 games, 3-patch window 26.20-26.22.
  7. Milio Support - High Elo data: Nautilus Support vs Milio Support, 51.6% observed win rate, +2.1 percentage points vs expected, 7,453 games, 3-patch window 26.20-26.22.
  8. Xerath ADC - High Elo data: Nautilus Support vs Xerath ADC, 51.2% observed win rate, +2.0 percentage points vs expected, 1,423 games, 3-patch window 26.20-26.22.
  9. Jhin ADC - High Elo data: Nautilus Support vs Jhin ADC, 51.5% observed win rate, +2.0 percentage points vs expected, 26,387 games, 3-patch window 26.20-26.22.
  10. Zed Mid - High Elo data: Nautilus Support vs Zed Mid, 51.8% observed win rate, +1.9 percentage points vs expected, 10,197 games, 3-patch window 26.20-26.22.

How these matchup statistics are calculated

Counter and synergy statistics use Ranked Solo/Duo games, exclude matches shorter than 600 seconds, and group results by patch window, region, rank scope, and champion role.

Pairwise pages use a rolling three-patch window and compare observed win rate with a log-odds expected win rate based on each champion's role-adjusted baseline; listed pairs require at least 1,000 games.

Read the full methodology for the model and guidance on interpreting these results.