Swainvs Nautilus
Swain vs Nautilus is a decisive matchup in LoL patch 26.11. Swain wins with a 60.8% win rate (+21.7%) over Nautilus based on 166 games. Swain holds the advantage in both the early and late game. Below you'll find the best Swain build, runes, laning stats, and strategies for the Swain vs Nautilus matchup.
Swain Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Swain performs against them. You'll get head-to-head win rates, laning stats, the best build and runes for the matchup, and early vs late game analysis — all based on real ranked data.
Who Wins the Swain vs Nautilus Matchup?
Swain vs Nautilus Matchup Summary
The Swain vs Nautilus matchup is a decisive matchup in League of Legends ranked play. Based on 166 recent matches analyzed, Swain wins with a 60.8% win rate compared to Nautilus's 39.2%, giving Swain a 21.7 percentage point advantage. Swain dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Nautilus players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in damage output, where Swain leads by 362 DMG/min — a difference that heavily influences the outcome of trades and skirmishes. Swain players can confidently pick into Nautilus and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Nautilus away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Swain vs Nautilus Laning Phase Breakdown
Swain is favored during the laning phase against Nautilus, winning 3 out of 5 key stat categories. Swain holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Swain Build Against Nautilus
Plated Steelcaps is the optimal boots choice against Nautilus, providing the mobility and stats Swain needs most in this matchup. The top-performing core items for Swain against Nautilus are Zhonya's Hourglass, Malignance and Rylai's Crystal Scepter. This combination gives Swain an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 80.0% win rate across 5 games — well above average and making it the top item path against Nautilus. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Swain vs Nautilus matchup.
Early Game vs Late Game
Swain70.4%
Nautilus29.6%Swain51.8%Nautilus48.2%Swain dominates the early game (first 15 minutes) with a commanding 70.4% win rate — a 40.7 percentage point lead over Nautilus. This lopsided early game means Swain can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
In the late game (25+ minutes), Swain takes over with a 51.8% win rate, leading Nautilus by 3.5 percentage points. Swain scales more effectively into team fights and objective contests.
Swain holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Nautilus players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Swain Runes Against Nautilus
Domination
Precision
Running Domination primary with Precision secondary allows Swain to press their advantage against Nautilus, amplifying the strengths that make this a favorable matchup.
Swain matchup data for League of Legends patch 26.11. The table below shows Swain's win rate, gold difference, and performance stats against every champion in the current meta. Click any champion name to see a detailed head-to-head breakdown including the best Swain build, runes, laning stats, and early vs late game analysis for that specific matchup.
Opponent | Win Rate | Matches | CS/min | DMG/min | Gold/game | Early WR | Late WR |
|---|---|---|---|---|---|---|---|
| 45.15% | 237 | 2.0 | 657 | 9,786 | 45.2% | 45.1% | |
| 49.12% | 228 | 2.3 | 676 | 10,006 | 46.4% | 51.7% | |
| 60.84% | 166 | 1.8 | 770 | 9,842 | 70.4% | 51.8% | |
| 54.66% | 161 | 1.7 | 745 | 9,169 | 57.9% | 51.8% | |
| 63.13% | 160 | 1.9 | 824 | 10,248 | 62.5% | 63.8% | |
| 48.34% | 151 | 2.1 | 674 | 9,575 | 50.8% | 46.7% | |
| 45.77% | 142 | 3.0 | 750 | 10,946 | 43.4% | 47.2% | |
| 44.63% | 121 | 2.3 | 750 | 10,358 | 47.2% | 42.6% | |
| 52.38% | 105 | 1.8 | 674 | 9,159 | 45.6% | 60.4% | |
| 44.33% | 97 | 2.3 | 670 | 9,848 | 43.8% | 44.9% | |
| 50.00% | 96 | 5.9 | 857 | 12,381 | 47.5% | 51.8% | |
| 44.09% | 93 | 1.8 | 640 | 8,647 | 40.8% | 47.7% | |
| 58.70% | 92 | 5.1 | 875 | 12,107 | 60.4% | 56.8% | |
| 55.95% | 84 | 2.5 | 805 | 10,795 | 58.1% | 54.7% | |
| 53.66% | 82 | 6.0 | 1,048 | 13,238 | 63.0% | 49.1% | |
| 55.56% | 81 | 1.9 | 884 | 9,301 | 53.9% | 57.1% | |
| 59.74% | 77 | 6.0 | 929 | 12,205 | 74.3% | 47.6% | |
| 51.35% | 74 | 5.9 | 912 | 11,782 | 58.8% | 45.0% | |
| 54.05% | 74 | 1.8 | 781 | 9,663 | 59.0% | 48.6% | |
| 54.79% | 73 | 3.0 | 692 | 10,424 | 61.3% | 50.0% | |
| 54.79% | 73 | 5.5 | 896 | 12,700 | 62.1% | 50.0% | |
| 54.17% | 72 | 3.1 | 784 | 10,619 | 58.6% | 51.2% | |
| 33.33% | 72 | 1.7 | 630 | 9,578 | 44.4% | 26.7% | |
| 46.15% | 65 | 1.7 | 729 | 9,202 | 66.7% | 28.6% | |
| 46.88% | 64 | 1.8 | 716 | 10,191 | 30.4% | 56.1% | |
| 59.68% | 62 | 5.4 | 881 | 11,666 | 67.9% | 52.9% | |
| 56.45% | 62 | 1.8 | 851 | 10,103 | 77.4% | 35.5% | |
| 52.46% | 61 | 1.8 | 742 | 11,198 | 40.0% | 61.1% | |
| 47.54% | 61 | 1.6 | 687 | 9,137 | 37.5% | 58.6% | |
| 60.00% | 60 | 5.0 | 792 | 11,352 | 56.5% | 62.2% | |
| 51.67% | 60 | 1.7 | 664 | 10,177 | 55.6% | 50.0% | |
| 47.37% | 57 | 1.9 | 643 | 10,211 | 52.6% | 44.7% | |
| 51.79% | 56 | 5.8 | 912 | 11,210 | 60.0% | 45.2% | |
| 47.27% | 55 | 6.2 | 1,009 | 11,852 | 45.8% | 48.4% | |
| 46.30% | 54 | 4.7 | 954 | 10,129 | 43.3% | 50.0% | |
| 46.30% | 54 | 2.5 | 837 | 11,216 | 50.0% | 44.4% | |
| 53.85% | 52 | 1.9 | 616 | 10,562 | 52.4% | 54.8% | |
| 44.23% | 52 | 1.8 | 856 | 9,637 | 54.2% | 35.7% | |
| 55.77% | 52 | 1.8 | 732 | 9,467 | 42.1% | 63.6% | |
| 32.00% | 50 | 5.9 | 842 | 10,853 | 16.7% | 40.6% | |
| 42.86% | 49 | 5.9 | 883 | 12,597 | 38.9% | 45.2% | |
| 54.17% | 48 | 5.9 | 807 | 10,932 | 59.1% | 50.0% | |
| 45.83% | 48 | 2.0 | 816 | 9,579 | 54.5% | 38.5% | |
| 51.06% | 47 | 2.0 | 719 | 9,490 | 72.7% | 32.0% | |
| 50.00% | 46 | 6.2 | 881 | 12,760 | 52.6% | 48.1% | |
| 58.14% | 43 | 5.3 | 866 | 11,035 | 50.0% | 66.7% | |
| 53.49% | 43 | 5.7 | 794 | 10,307 | 54.5% | 52.4% | |
| 47.62% | 42 | 5.0 | 828 | 10,902 | 38.9% | 54.2% | |
| 60.00% | 40 | 5.7 | 993 | 11,838 | 44.4% | 72.7% | |
| 54.29% | 35 | 6.5 | 836 | 11,192 | 44.4% | 64.7% | |
| 45.71% | 35 | 1.8 | 646 | 9,594 | 69.2% | 31.8% | |
| 39.39% | 33 | 4.6 | 919 | 11,034 | 60.0% | 30.4% | |
| 46.88% | 32 | 5.9 | 997 | 12,173 | 52.4% | 36.4% | |
| 29.03% | 31 | 1.7 | 800 | 8,923 | 26.7% | 31.3% | |
| 33.33% | 30 | 5.8 | 762 | 11,517 | 33.3% | 33.3% | |
| 56.67% | 30 | 5.7 | 969 | 12,296 | 42.9% | 60.9% | |
| 56.67% | 30 | 5.5 | 978 | 11,137 | 50.0% | 61.1% | |
| 56.67% | 30 | 2.1 | 763 | 9,568 | 50.0% | 61.1% | |
| 51.72% | 29 | 5.7 | 971 | 12,429 | 70.0% | 42.1% | |
| 53.57% | 28 | 6.3 | 760 | 10,435 | 35.7% | 71.4% | |
| 53.57% | 28 | 4.7 | 910 | 11,817 | 62.5% | 41.7% | |
| 46.43% | 28 | 5.3 | 1,046 | 11,933 | 36.4% | 52.9% | |
| 34.62% | 26 | 5.7 | 891 | 12,452 | 33.3% | 35.7% | |
| 72.00% | 25 | 6.0 | 946 | 11,973 | 69.2% | 75.0% | |
| 60.00% | 25 | 5.5 | 759 | 9,163 | 53.9% | 66.7% | |
| 56.00% | 25 | 6.1 | 950 | 13,153 | 44.4% | 62.5% | |
| 33.33% | 24 | 6.0 | 968 | 11,947 | 37.5% | 31.3% | |
| 58.33% | 24 | 2.1 | 733 | 11,523 | 55.6% | 60.0% | |
| 33.33% | 24 | 6.5 | 806 | 9,749 | 30.8% | 36.4% | |
| 45.83% | 24 | 5.6 | 870 | 9,034 | 42.9% | 50.0% | |
| 60.87% | 23 | 6.6 | 884 | 12,858 | 76.9% | 40.0% | |
| 56.52% | 23 | 5.6 | 886 | 9,684 | 57.1% | 55.6% | |
| 34.78% | 23 | 4.1 | 1,057 | 10,124 | 40.0% | 30.8% | |
| 54.55% | 22 | 4.6 | 943 | 11,045 | 60.0% | 42.9% | |
| 54.55% | 22 | 5.6 | 792 | 11,489 | 83.3% | 43.8% | |
| 77.27% | 22 | 2.0 | 777 | 10,115 | 75.0% | 78.6% | |
| 59.09% | 22 | 4.2 | 807 | 11,666 | 50.0% | 64.3% | |
| 47.62% | 21 | 6.0 | 896 | 13,025 | 55.6% | 41.7% | |
| 52.38% | 21 | 3.6 | 687 | 9,781 | 33.3% | 60.0% | |
| 47.62% | 21 | 6.1 | 1,200 | 11,161 | 58.3% | 33.3% | |
| 52.38% | 21 | 4.2 | 824 | 9,501 | 41.7% | 66.7% | |
| 66.67% | 21 | 5.6 | 972 | 11,396 | 72.7% | 60.0% | |
| 65.00% | 20 | 5.5 | 918 | 10,373 | 70.0% | 60.0% | |
| 57.89% | 19 | 6.1 | 803 | 13,000 | 57.1% | 58.3% | |
| 31.58% | 19 | 4.9 | 904 | 10,867 | 50.0% | 23.1% | |
| 52.94% | 17 | 6.5 | 1,102 | 14,560 | 75.0% | 46.1% | |
| 35.29% | 17 | 5.6 | 656 | 10,742 | 55.6% | 12.5% | |
| 68.75% | 16 | 6.6 | 968 | 11,303 | 75.0% | 62.5% | |
| 66.67% | 15 | 6.6 | 825 | 12,639 | 71.4% | 62.5% | |
| 60.00% | 15 | 5.3 | 907 | 11,206 | 57.1% | 62.5% | |
| 26.67% | 15 | 1.8 | 665 | 9,056 | 50.0% | 11.1% | |
| 73.33% | 15 | 5.0 | 1,007 | 10,962 | 100.0% | 63.6% | |
| 53.33% | 15 | 4.9 | 842 | 10,936 | 50.0% | 55.6% | |
| 46.67% | 15 | 6.1 | 835 | 10,996 | 44.4% | 50.0% | |
| 66.67% | 15 | 6.4 | 942 | 11,361 | 85.7% | 50.0% | |
| 46.67% | 15 | 6.1 | 669 | 9,152 | 33.3% | 66.7% | |
| 57.14% | 14 | 5.9 | 1,056 | 12,331 | 40.0% | 66.7% | |
| 35.71% | 14 | 5.8 | 899 | 10,571 | 40.0% | 33.3% | |
| 28.57% | 14 | 5.4 | 732 | 10,219 | 0.0% | 40.0% | |
| 42.86% | 14 | 5.6 | 925 | 12,286 | 50.0% | 40.0% | |
| 38.46% | 13 | 5.3 | 756 | 9,810 | 20.0% | 50.0% | |
| 84.62% | 13 | 5.7 | 1,111 | 10,308 | 100.0% | 71.4% | |
| 23.08% | 13 | 6.0 | 977 | 12,689 | 40.0% | 12.5% | |
| 61.54% | 13 | 6.7 | 855 | 7,143 | 66.7% | 50.0% | |
| 46.15% | 13 | 5.8 | 796 | 11,258 | 66.7% | 28.6% | |
| 69.23% | 13 | 5.8 | 803 | 11,675 | 71.4% | 66.7% | |
| 58.33% | 12 | 5.7 | 1,036 | 11,304 | 100.0% | 37.5% | |
| 58.33% | 12 | 5.6 | 919 | 8,999 | 57.1% | 60.0% | |
| 36.36% | 11 | 6.1 | 1,004 | 12,665 | 50.0% | 33.3% | |
| 54.55% | 11 | 5.7 | 1,008 | 12,544 | 50.0% | 57.1% | |
| 54.55% | 11 | 4.5 | 882 | 10,298 | 83.3% | 20.0% | |
| 27.27% | 11 | 5.0 | 865 | 10,399 | 50.0% | 14.3% | |
| 30.00% | 10 | 4.9 | 930 | 12,519 | 0.0% | 37.5% | |
| 50.00% | 10 | 6.0 | 879 | 10,082 | 20.0% | 80.0% | |
| 30.00% | 10 | 3.8 | 654 | 9,889 | 20.0% | 40.0% | |
| 60.00% | 10 | 5.6 | 990 | 12,037 | 60.0% | 60.0% | |
| 60.00% | 10 | 6.2 | 787 | 10,266 | 60.0% | 60.0% | |
| 70.00% | 10 | 2.5 | 912 | 10,807 | 83.3% | 50.0% | |
| 40.00% | 10 | 6.4 | 1,125 | 12,227 | 25.0% | 50.0% | |
| 70.00% | 10 | 5.1 | 895 | 9,897 | 57.1% | 100.0% | |
| 20.00% | 10 | 5.9 | 707 | 10,047 | 0.0% | 40.0% | |
| 66.67% | 9 | 5.8 | 876 | 10,491 | 50.0% | 80.0% | |
| 33.33% | 9 | 5.9 | 873 | 10,865 | 50.0% | 20.0% | |
| 55.56% | 9 | 6.4 | 1,089 | 13,619 | 50.0% | 60.0% | |
| 44.44% | 9 | 1.7 | 731 | 11,944 | 0.0% | 50.0% | |
| 22.22% | 9 | 1.8 | 661 | 8,244 | 25.0% | 20.0% | |
| 55.56% | 9 | 5.6 | 928 | 11,608 | 100.0% | 50.0% | |
| 44.44% | 9 | 5.9 | 1,252 | 9,586 | 20.0% | 75.0% | |
| 50.00% | 8 | 6.4 | 822 | 11,683 | 50.0% | 50.0% | |
| 42.86% | 7 | 5.6 | 798 | 9,870 | 50.0% | 33.3% | |
| 71.43% | 7 | 5.9 | 853 | 11,833 | 33.3% | 100.0% | |
| 66.67% | 6 | 5.7 | 778 | 9,831 | 33.3% | 100.0% | |
| 66.67% | 6 | 6.9 | 1,134 | 11,590 | 100.0% | 33.3% | |
| 83.33% | 6 | 1.9 | 641 | 10,907 | 100.0% | 75.0% | |
| 33.33% | 6 | 5.5 | 911 | 12,990 | 0.0% | 50.0% | |
| 33.33% | 6 | 3.5 | 853 | 10,946 | 33.3% | 33.3% | |
| 50.00% | 6 | 6.8 | 770 | 9,475 | 50.0% | 50.0% | |
| 80.00% | 5 | 5.2 | 814 | 9,823 | 75.0% | 100.0% | |
| 100.00% | 5 | 5.9 | 776 | 13,000 | 100.0% | 100.0% | |
| 60.00% | 5 | 5.1 | 856 | 10,501 | 33.3% | 100.0% | |
| 60.00% | 5 | 1.8 | 833 | 12,008 | 0.0% | 75.0% | |
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Swain vs Nautilus - Frequently Asked Questions
How does Swain do against Nautilus in League of Legends?
Swain wins the Swain vs Nautilus matchup with a 60.8% win rate compared to Nautilus's 39.2%, a 21.7 percentage point difference. This data is based on 166 recent ranked games in patch 26.11.
How does Swain do against Nautilus in the early game?
In the early game, Swain has the advantage against Nautilus with a 70.4% win rate versus 29.6%. Swain players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Swain do against Nautilus in the late game?
In the late game, Swain takes over the Swain vs Nautilus matchup with a 51.8% win rate compared to 48.2%. Swain scales better into team fights and objective contests after 25 minutes.
Who wins the Swain vs Nautilus matchup?
Swain wins the matchup against Nautilus with a 60.8% win rate in League of Legends patch 26.11. The 21.7 percentage point advantage means Swain is significantly favored in this lane matchup based on 166 games analyzed.
What is the best Swain build against Nautilus?
The best Swain build against Nautilus includes Zhonya's Hourglass, Malignance, Rylai's Crystal Scepter with Plated Steelcaps. This build achieves a 80.0% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Swain runes against Nautilus?
The best Swain runes against Nautilus use the Domination primary tree with Precision secondary. This rune setup achieves a 64.4% win rate in the Swain vs Nautilus matchup. See the full rune breakdown in the matchup comparison above.
Does Swain counter Nautilus?
Yes, Swain has a favorable matchup against Nautilus with a 60.8% win rate. Swain strongly counters Nautilus in lane based on current patch 26.11 data.
How do I play Swain against Nautilus?
When playing Swain against Nautilus, leverage your statistical advantages by trading aggressively during favorable windows. You have early game priority — look for kills and zone control before first recall. Build the recommended items and runes for this specific matchup for the best results.