
Swainvs Nunu & Willump
Swain vs Nunu & Willump is a decisive matchup in LoL patch 26.10. Swain wins with a 60.0% win rate (+20.0%) over Nunu & Willump based on 5 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 Nunu & Willump 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 Nunu & Willump Matchup?

Swain vs Nunu & Willump Matchup Summary
The Swain vs Nunu & Willump matchup is a decisive matchup in League of Legends ranked play. Based on 5 recent matches analyzed, Swain wins with a 60.0% win rate compared to Nunu & Willump's 40.0%, giving Swain a 20.0 percentage point advantage. Swain dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Nunu & Willump players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in crowd control, where Swain leads by 0.8s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Swain players can confidently pick into Nunu & Willump and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Nunu & Willump 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 Nunu & Willump Laning Phase Breakdown
Swain is favored during the laning phase against Nunu & Willump, winning 5 out of 5 key stat categories. Swain holds advantages in farming, damage, gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Swain Build Against Nunu & Willump
Mercury's Treads is the optimal boots choice against Nunu & Willump, providing the mobility and stats Swain needs most in this matchup. The top-performing core items for Swain against Nunu & Willump are Liandry's Torment, Zhonya's Hourglass and Rylai's Crystal Scepter. This combination gives Swain an effective balance of damage, survivability, and utility for the matchup. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Swain vs Nunu & Willump matchup.
Early Game vs Late Game
Swain dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Nunu & Willump. This lopsided early game means Swain can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Late game (25+ minutes) is equally balanced, with Swain at 50.0% win rate — only 0.0 points ahead of Nunu & Willump. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
Swain holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Nunu & Willump players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Swain Runes Against Nunu & Willump
Running Domination primary with Precision secondary allows Swain to press their advantage against Nunu & Willump, amplifying the strengths that make this a favorable matchup.
Swain matchup data for League of Legends patch 26.10. 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 |
|---|---|---|---|---|---|---|---|
| 52.65% | 302 | 2.5 | 675 | 10,150 | 50.0% | 54.5% | |
| 47.18% | 284 | 2.1 | 658 | 9,553 | 44.6% | 49.4% | |
| 42.40% | 217 | 2.2 | 690 | 9,759 | 35.6% | 48.3% | |
| 42.27% | 194 | 1.8 | 760 | 10,315 | 38.9% | 44.3% | |
| 58.95% | 190 | 1.8 | 777 | 10,082 | 55.6% | 61.5% | |
| 47.57% | 185 | 1.8 | 649 | 9,747 | 47.5% | 47.6% | |
| 48.35% | 182 | 2.8 | 707 | 10,544 | 44.0% | 51.4% | |
| 51.20% | 166 | 1.7 | 675 | 9,871 | 53.1% | 50.0% | |
| 54.78% | 157 | 1.8 | 835 | 9,934 | 52.7% | 56.6% | |
| 48.00% | 150 | 6.0 | 975 | 12,524 | 48.4% | 47.7% | |
| 60.96% | 146 | 6.0 | 913 | 12,375 | 69.1% | 53.9% | |
| 57.66% | 137 | 5.5 | 877 | 12,356 | 58.5% | 56.9% | |
| 46.28% | 121 | 1.9 | 718 | 9,872 | 40.7% | 50.8% | |
| 55.96% | 109 | 1.8 | 713 | 9,577 | 61.1% | 50.9% | |
| 48.62% | 109 | 5.2 | 876 | 11,977 | 61.0% | 41.2% | |
| 45.37% | 108 | 3.2 | 706 | 10,269 | 34.8% | 53.2% | |
| 47.62% | 105 | 1.7 | 656 | 9,401 | 58.5% | 40.6% | |
| 54.37% | 103 | 2.6 | 911 | 9,504 | 58.2% | 50.0% | |
| 54.64% | 97 | 1.8 | 787 | 10,099 | 54.0% | 55.0% | |
| 47.42% | 97 | 6.0 | 943 | 11,786 | 50.0% | 45.3% | |
| 39.58% | 96 | 1.7 | 716 | 9,361 | 43.2% | 36.5% | |
| 53.33% | 90 | 5.8 | 921 | 12,020 | 58.3% | 50.0% | |
| 62.92% | 89 | 5.9 | 856 | 11,814 | 62.0% | 64.1% | |
| 50.56% | 89 | 5.8 | 863 | 10,918 | 48.8% | 52.1% | |
| 61.36% | 88 | 2.5 | 692 | 10,320 | 57.1% | 64.2% | |
| 44.58% | 83 | 2.0 | 680 | 10,360 | 57.1% | 38.2% | |
| 57.83% | 83 | 3.1 | 713 | 9,825 | 58.8% | 57.1% | |
| 48.75% | 80 | 1.8 | 643 | 9,595 | 59.0% | 39.0% | |
| 63.64% | 77 | 2.6 | 778 | 10,369 | 72.7% | 56.8% | |
| 48.68% | 76 | 6.0 | 816 | 10,020 | 55.3% | 42.1% | |
| 50.00% | 76 | 5.8 | 902 | 10,499 | 56.8% | 43.6% | |
| 53.95% | 76 | 1.8 | 646 | 9,216 | 50.0% | 57.9% | |
| 51.32% | 76 | 1.7 | 790 | 9,900 | 59.5% | 43.6% | |
| 50.68% | 73 | 6.0 | 879 | 11,991 | 45.7% | 55.3% | |
| 46.48% | 71 | 4.7 | 834 | 11,397 | 42.3% | 48.9% | |
| 42.42% | 66 | 1.9 | 720 | 9,817 | 46.1% | 40.0% | |
| 62.12% | 66 | 4.8 | 798 | 10,932 | 71.0% | 54.3% | |
| 40.63% | 64 | 5.9 | 840 | 9,845 | 35.1% | 48.1% | |
| 47.62% | 63 | 6.0 | 991 | 11,376 | 38.1% | 52.4% | |
| 35.48% | 62 | 1.7 | 537 | 9,037 | 34.6% | 36.1% | |
| 34.48% | 58 | 4.9 | 854 | 11,737 | 40.0% | 31.6% | |
| 36.21% | 58 | 2.1 | 857 | 10,131 | 29.6% | 41.9% | |
| 55.36% | 56 | 4.8 | 971 | 11,163 | 68.2% | 47.1% | |
| 55.56% | 54 | 1.8 | 710 | 9,348 | 51.6% | 60.9% | |
| 55.77% | 52 | 6.1 | 982 | 13,069 | 61.9% | 51.6% | |
| 46.00% | 51 | 1.9 | 767 | 9,774 | 45.5% | 46.4% | |
| 46.94% | 49 | 2.1 | 729 | 9,730 | 36.8% | 53.3% | |
| 62.50% | 48 | 4.2 | 853 | 10,505 | 57.9% | 65.5% | |
| 45.65% | 46 | 5.8 | 751 | 9,729 | 42.9% | 48.0% | |
| 48.89% | 45 | 1.6 | 814 | 9,905 | 66.7% | 37.0% | |
| 44.19% | 43 | 6.3 | 909 | 11,829 | 47.1% | 42.3% | |
| 36.59% | 41 | 5.5 | 884 | 12,399 | 50.0% | 29.6% | |
| 57.50% | 40 | 1.7 | 725 | 9,158 | 40.9% | 77.8% | |
| 50.00% | 40 | 5.6 | 889 | 11,107 | 55.6% | 45.5% | |
| 56.41% | 39 | 5.8 | 922 | 11,789 | 54.5% | 57.1% | |
| 56.41% | 39 | 5.9 | 922 | 11,903 | 55.6% | 57.1% | |
| 55.26% | 38 | 4.1 | 1,036 | 11,188 | 50.0% | 59.1% | |
| 50.00% | 38 | 4.7 | 732 | 9,608 | 44.4% | 55.0% | |
| 51.35% | 37 | 5.6 | 832 | 11,118 | 47.1% | 55.0% | |
| 64.86% | 37 | 6.0 | 952 | 11,672 | 54.5% | 80.0% | |
| 51.35% | 37 | 5.7 | 850 | 10,668 | 56.5% | 42.9% | |
| 40.54% | 37 | 3.6 | 842 | 9,929 | 42.9% | 39.1% | |
| 63.89% | 36 | 6.1 | 977 | 11,694 | 80.0% | 52.4% | |
| 52.78% | 36 | 5.9 | 873 | 10,711 | 46.1% | 56.5% | |
| 51.43% | 35 | 6.6 | 855 | 11,821 | 65.0% | 33.3% | |
| 50.00% | 34 | 5.5 | 820 | 9,744 | 57.1% | 38.5% | |
| 55.88% | 34 | 4.6 | 830 | 11,349 | 58.3% | 54.5% | |
| 63.64% | 33 | 5.2 | 820 | 11,909 | 73.3% | 55.6% | |
| 62.50% | 32 | 6.0 | 931 | 12,716 | 58.8% | 66.7% | |
| 62.50% | 32 | 2.3 | 828 | 11,596 | 44.4% | 69.6% | |
| 67.74% | 31 | 6.3 | 902 | 11,864 | 60.0% | 75.0% | |
| 54.84% | 31 | 5.4 | 912 | 10,969 | 50.0% | 60.0% | |
| 50.00% | 30 | 1.8 | 702 | 8,850 | 66.7% | 33.3% | |
| 44.83% | 29 | 5.8 | 927 | 10,858 | 46.1% | 43.8% | |
| 39.29% | 28 | 6.5 | 1,061 | 11,318 | 44.4% | 36.8% | |
| 39.29% | 28 | 4.0 | 842 | 9,945 | 46.1% | 33.3% | |
| 40.74% | 27 | 5.6 | 829 | 10,623 | 46.1% | 35.7% | |
| 46.15% | 26 | 1.8 | 671 | 9,668 | 41.7% | 50.0% | |
| 57.69% | 26 | 6.3 | 787 | 10,838 | 61.5% | 53.9% | |
| 60.00% | 25 | 6.1 | 811 | 11,178 | 41.7% | 76.9% | |
| 56.00% | 25 | 5.6 | 935 | 11,008 | 55.6% | 56.3% | |
| 64.00% | 25 | 5.1 | 951 | 10,072 | 69.2% | 58.3% | |
| 62.50% | 24 | 4.5 | 773 | 10,472 | 70.0% | 57.1% | |
| 41.67% | 24 | 4.0 | 844 | 10,644 | 28.6% | 47.1% | |
| 47.83% | 23 | 6.3 | 921 | 13,431 | 81.8% | 16.7% | |
| 22.73% | 22 | 2.1 | 704 | 9,364 | 23.1% | 22.2% | |
| 54.55% | 22 | 6.3 | 990 | 10,228 | 53.9% | 55.6% | |
| 50.00% | 22 | 6.6 | 1,009 | 13,782 | 100.0% | 38.9% | |
| 45.45% | 22 | 6.1 | 909 | 12,208 | 71.4% | 33.3% | |
| 61.90% | 21 | 6.5 | 871 | 12,798 | 71.4% | 42.9% | |
| 47.62% | 21 | 4.8 | 800 | 10,883 | 71.4% | 35.7% | |
| 38.10% | 21 | 5.8 | 791 | 10,164 | 25.0% | 55.6% | |
| 50.00% | 20 | 5.4 | 764 | 10,107 | 45.5% | 55.6% | |
| 35.00% | 20 | 5.8 | 1,041 | 13,149 | 60.0% | 26.7% | |
| 40.00% | 20 | 5.8 | 913 | 10,550 | 25.0% | 50.0% | |
| 60.00% | 20 | 1.7 | 605 | 8,819 | 61.5% | 57.1% | |
| 47.37% | 19 | 6.0 | 990 | 11,643 | 62.5% | 36.4% | |
| 42.11% | 19 | 5.5 | 871 | 10,267 | 36.4% | 50.0% | |
| 66.67% | 18 | 6.1 | 857 | 9,332 | 55.6% | 77.8% | |
| 55.56% | 18 | 6.1 | 1,052 | 9,788 | 63.6% | 42.9% | |
| 27.78% | 18 | 5.8 | 1,022 | 11,529 | 33.3% | 22.2% | |
| 64.71% | 17 | 6.0 | 851 | 9,640 | 66.7% | 62.5% | |
| 41.18% | 17 | 5.7 | 822 | 12,045 | 33.3% | 45.5% | |
| 58.82% | 17 | 6.5 | 879 | 13,174 | 71.4% | 50.0% | |
| 35.29% | 17 | 5.8 | 1,267 | 11,159 | 50.0% | 30.8% | |
| 52.94% | 17 | 6.3 | 990 | 12,522 | 44.4% | 62.5% | |
| 17.65% | 17 | 5.8 | 922 | 11,454 | 0.0% | 25.0% | |
| 70.59% | 17 | 5.6 | 1,079 | 12,283 | 100.0% | 64.3% | |
| 23.53% | 17 | 5.1 | 757 | 11,304 | 25.0% | 22.2% | |
| 46.67% | 15 | 5.8 | 1,003 | 10,645 | 42.9% | 50.0% | |
| 57.14% | 14 | 5.6 | 883 | 11,455 | 50.0% | 62.5% | |
| 64.29% | 14 | 5.8 | 838 | 9,759 | 85.7% | 42.9% | |
| 14.29% | 14 | 4.7 | 878 | 10,554 | 16.7% | 12.5% | |
| 50.00% | 14 | 5.7 | 870 | 10,448 | 50.0% | 50.0% | |
| 42.86% | 14 | 5.3 | 829 | 10,956 | 50.0% | 37.5% | |
| 57.14% | 14 | 5.7 | 1,135 | 12,023 | 60.0% | 55.6% | |
| 38.46% | 13 | 6.4 | 812 | 12,497 | 25.0% | 44.4% | |
| 69.23% | 13 | 5.9 | 801 | 11,260 | 80.0% | 62.5% | |
| 58.33% | 12 | 6.3 | 1,022 | 11,239 | 66.7% | 50.0% | |
| 50.00% | 12 | 5.5 | 775 | 10,894 | 60.0% | 42.9% | |
| 50.00% | 12 | 4.8 | 957 | 10,943 | 50.0% | 50.0% | |
| 50.00% | 12 | 5.1 | 882 | 13,008 | 50.0% | 50.0% | |
| 58.33% | 12 | 5.6 | 863 | 11,510 | 80.0% | 42.9% | |
| 54.55% | 11 | 5.9 | 901 | 11,967 | 66.7% | 50.0% | |
| 63.64% | 11 | 2.8 | 833 | 11,361 | 100.0% | 55.6% | |
| 72.73% | 11 | 5.1 | 793 | 12,789 | 100.0% | 70.0% | |
| 54.55% | 11 | 1.3 | 654 | 9,996 | 60.0% | 50.0% | |
| 50.00% | 10 | 5.7 | 943 | 14,575 | 66.7% | 42.9% | |
| 44.44% | 9 | 4.9 | 923 | 10,171 | 25.0% | 60.0% | |
| 66.67% | 9 | 2.0 | 686 | 8,759 | 40.0% | 100.0% | |
| 33.33% | 9 | 6.6 | 823 | 9,462 | 16.7% | 66.7% | |
| 77.78% | 9 | 5.9 | 1,116 | 14,315 | 66.7% | 83.3% | |
| 66.67% | 9 | 6.1 | 788 | 10,439 | 80.0% | 50.0% | |
| 62.50% | 8 | 6.1 | 758 | 11,076 | 66.7% | 60.0% | |
| 62.50% | 8 | 7.0 | 692 | 8,984 | 80.0% | 33.3% | |
| 37.50% | 8 | 5.3 | 705 | 12,224 | 33.3% | 40.0% | |
| 50.00% | 8 | 6.3 | 855 | 10,894 | 75.0% | 25.0% | |
| 75.00% | 8 | 4.9 | 732 | 10,107 | 60.0% | 100.0% | |
| 28.57% | 7 | 2.8 | 890 | 9,840 | 50.0% | 0.0% | |
| 57.14% | 7 | 5.7 | 765 | 10,107 | 40.0% | 100.0% | |
| 57.14% | 7 | 6.5 | 852 | 9,464 | 75.0% | 33.3% | |
| 42.86% | 7 | 4.0 | 696 | 12,663 | 50.0% | 40.0% | |
| 50.00% | 6 | 4.2 | 921 | 10,002 | 25.0% | 100.0% | |
| 50.00% | 6 | 3.0 | 701 | 9,859 | 100.0% | 0.0% | |
| 66.67% | 6 | 1.5 | 664 | 7,862 | 66.7% | 66.7% | |
| 60.00% | 5 | 7.2 | 732 | 8,524 | 50.0% | 100.0% | |
| 60.00% | 5 | 2.2 | 697 | 11,765 | 0.0% | 60.0% | |
| 60.00% | 5 | 2.3 | 882 | 12,528 | 100.0% | 50.0% | |
| 60.00% | 5 | 2.0 | 576 | 6,743 | 50.0% | 100.0% | |
| 40.00% | 5 | 2.6 | 858 | 11,620 | 0.0% | 50.0% | |
| 20.00% | 5 | 3.6 | 844 | 12,158 | 0.0% | 20.0% | |
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Swain vs Nunu & Willump - Frequently Asked Questions
How does Swain do against Nunu & Willump in League of Legends?
Swain wins the Swain vs Nunu & Willump matchup with a 60.0% win rate compared to Nunu & Willump's 40.0%, a 20.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.10.
How does Swain do against Nunu & Willump in the early game?
In the early game, Swain has the advantage against Nunu & Willump with a 100.0% win rate versus 0.0%. 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 Nunu & Willump in the late game?
In the late game, Swain takes over the Swain vs Nunu & Willump matchup with a 50.0% win rate compared to 50.0%. Swain scales better into team fights and objective contests after 25 minutes.
Who wins the Swain vs Nunu & Willump matchup?
Swain wins the matchup against Nunu & Willump with a 60.0% win rate in League of Legends patch 26.10. The 20.0 percentage point advantage means Swain is significantly favored in this lane matchup based on 5 games analyzed.
What is the best Swain build against Nunu & Willump?
The best Swain build against Nunu & Willump includes Liandry's Torment, Zhonya's Hourglass, Rylai's Crystal Scepter with Mercury's Treads. Check the matchup breakdown above for the full item path and build order.
What are the best Swain runes against Nunu & Willump?
The best Swain runes against Nunu & Willump use the Domination primary tree with Precision secondary. This rune setup achieves a 100.0% win rate in the Swain vs Nunu & Willump matchup. See the full rune breakdown in the matchup comparison above.
Does Swain counter Nunu & Willump?
Yes, Swain has a favorable matchup against Nunu & Willump with a 60.0% win rate. Swain strongly counters Nunu & Willump in lane based on current patch 26.10 data.
How do I play Swain against Nunu & Willump?
When playing Swain against Nunu & Willump, 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.
