Swainvs Trundle
Swain vs Trundle is a decisive matchup in LoL patch 26.10. Swain wins with a 60.0% win rate (+20.0%) over Trundle 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 Trundle 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.
Trundle(60.0%)Who Wins the Swain vs Trundle Matchup?
Swain vs Trundle Matchup Summary
The Swain vs Trundle 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 Trundle'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 Trundle 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 Trundle and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Trundle 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 Trundle Laning Phase Breakdown
Trundle is favored during the laning phase against Swain, winning 3 out of 5 key stat categories. Trundle holds advantages in farming, gold income and sustain, making them the stronger laner in this matchup.
Best Swain Build Against Trundle
Gluttonous Greaves is the optimal boots choice against Trundle, providing the mobility and stats Swain needs most in this matchup. The top-performing core items for Swain against Trundle are Liandry's Torment, Zhonya's Hourglass and Malignance. 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 Trundle matchup.
Early Game vs Late Game
Swain66.7%Trundle33.3%Swain50.0%Trundle50.0%Swain dominates the early game (first 15 minutes) with a commanding 66.7% win rate — a 33.3 percentage point lead over Trundle. 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 Trundle. 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. Trundle players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Swain Runes Against Trundle
Sorcery
Resolve
Running Sorcery primary with Resolve secondary allows Swain to press their advantage against Trundle, 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 |
|---|---|---|---|---|---|---|---|
| 47.23% | 307 | 1.9 | 667 | 9,588 | 48.8% | 46.1% | |
| 53.40% | 294 | 2.4 | 650 | 9,968 | 51.6% | 54.8% | |
| 56.76% | 222 | 1.8 | 715 | 9,982 | 63.3% | 52.3% | |
| 47.45% | 196 | 2.3 | 682 | 10,129 | 36.2% | 53.5% | |
| 47.57% | 185 | 1.8 | 695 | 10,361 | 55.7% | 43.5% | |
| 54.05% | 185 | 1.7 | 750 | 9,732 | 53.3% | 54.8% | |
| 40.98% | 183 | 2.5 | 681 | 9,959 | 39.7% | 41.9% | |
| 47.67% | 172 | 1.8 | 773 | 10,216 | 51.5% | 45.2% | |
| 43.13% | 160 | 1.9 | 655 | 9,489 | 45.7% | 41.1% | |
| 42.86% | 147 | 6.0 | 930 | 12,819 | 60.8% | 33.3% | |
| 52.85% | 123 | 1.9 | 707 | 10,447 | 57.1% | 49.3% | |
| 54.55% | 121 | 6.1 | 908 | 12,229 | 59.3% | 50.8% | |
| 51.69% | 118 | 2.0 | 865 | 9,479 | 55.0% | 48.3% | |
| 47.86% | 117 | 5.2 | 830 | 11,008 | 60.7% | 36.1% | |
| 50.88% | 114 | 1.8 | 762 | 10,370 | 43.2% | 55.7% | |
| 57.43% | 101 | 3.3 | 678 | 10,173 | 47.6% | 64.4% | |
| 62.63% | 99 | 1.9 | 721 | 9,439 | 64.7% | 60.4% | |
| 47.96% | 98 | 2.2 | 751 | 9,681 | 44.9% | 51.0% | |
| 54.08% | 98 | 5.3 | 905 | 12,040 | 67.5% | 44.8% | |
| 41.67% | 96 | 1.6 | 736 | 9,721 | 52.9% | 35.5% | |
| 50.53% | 95 | 2.3 | 622 | 9,320 | 39.1% | 61.2% | |
| 40.00% | 95 | 1.6 | 601 | 8,835 | 44.0% | 35.6% | |
| 37.36% | 91 | 2.1 | 664 | 9,586 | 32.5% | 41.2% | |
| 55.95% | 84 | 2.0 | 676 | 9,622 | 51.4% | 59.6% | |
| 54.22% | 83 | 2.8 | 692 | 10,281 | 48.6% | 58.7% | |
| 45.78% | 83 | 5.7 | 870 | 11,245 | 47.2% | 44.7% | |
| 54.88% | 82 | 1.9 | 655 | 9,535 | 57.9% | 52.3% | |
| 53.16% | 79 | 6.0 | 901 | 10,645 | 62.2% | 45.2% | |
| 55.70% | 79 | 5.9 | 953 | 11,018 | 52.3% | 60.0% | |
| 53.33% | 75 | 1.7 | 520 | 8,888 | 48.6% | 57.9% | |
| 50.67% | 75 | 5.6 | 986 | 12,104 | 48.6% | 52.6% | |
| 51.35% | 74 | 5.8 | 855 | 11,455 | 48.6% | 53.9% | |
| 51.43% | 70 | 4.9 | 816 | 11,241 | 62.5% | 45.6% | |
| 59.42% | 69 | 1.9 | 814 | 9,449 | 68.8% | 51.4% | |
| 42.65% | 68 | 1.9 | 815 | 9,893 | 61.5% | 30.9% | |
| 56.06% | 66 | 5.9 | 867 | 12,576 | 60.0% | 54.4% | |
| 42.19% | 64 | 1.8 | 732 | 9,727 | 54.5% | 35.7% | |
| 45.00% | 60 | 5.3 | 1,018 | 11,030 | 50.0% | 41.2% | |
| 53.45% | 58 | 2.2 | 749 | 10,366 | 41.7% | 61.8% | |
| 54.39% | 57 | 4.8 | 855 | 10,702 | 66.7% | 43.3% | |
| 53.70% | 54 | 5.9 | 896 | 11,073 | 46.4% | 61.5% | |
| 55.56% | 54 | 6.1 | 919 | 11,706 | 56.3% | 54.5% | |
| 38.89% | 54 | 1.9 | 651 | 8,690 | 40.0% | 37.9% | |
| 57.69% | 52 | 5.2 | 947 | 11,750 | 65.0% | 53.1% | |
| 50.98% | 51 | 6.1 | 845 | 11,226 | 54.5% | 48.3% | |
| 49.02% | 51 | 4.4 | 921 | 11,462 | 42.9% | 53.3% | |
| 41.18% | 51 | 2.1 | 799 | 9,951 | 33.3% | 46.7% | |
| 45.83% | 48 | 6.1 | 960 | 10,687 | 39.1% | 52.0% | |
| 34.78% | 46 | 1.8 | 735 | 9,856 | 36.8% | 33.3% | |
| 65.22% | 46 | 1.9 | 687 | 9,396 | 76.0% | 52.4% | |
| 56.52% | 46 | 1.8 | 730 | 9,260 | 52.0% | 61.9% | |
| 47.83% | 46 | 5.7 | 916 | 10,648 | 50.0% | 45.8% | |
| 47.50% | 40 | 6.2 | 796 | 11,201 | 38.1% | 57.9% | |
| 56.41% | 39 | 5.9 | 878 | 12,209 | 73.3% | 45.8% | |
| 51.28% | 39 | 5.7 | 905 | 11,083 | 66.7% | 38.1% | |
| 55.26% | 38 | 2.2 | 769 | 10,117 | 57.1% | 54.2% | |
| 63.89% | 36 | 5.9 | 915 | 11,016 | 64.7% | 63.2% | |
| 55.56% | 36 | 5.8 | 899 | 11,573 | 58.3% | 54.2% | |
| 40.00% | 35 | 6.6 | 1,014 | 11,586 | 38.5% | 40.9% | |
| 58.82% | 34 | 5.6 | 979 | 10,982 | 64.3% | 55.0% | |
| 63.64% | 33 | 6.4 | 851 | 11,832 | 81.3% | 47.1% | |
| 46.88% | 32 | 4.3 | 794 | 10,207 | 35.7% | 55.6% | |
| 53.13% | 32 | 5.7 | 1,058 | 11,644 | 66.7% | 35.7% | |
| 67.74% | 31 | 6.1 | 789 | 10,666 | 68.8% | 66.7% | |
| 38.71% | 31 | 5.5 | 936 | 12,013 | 22.2% | 45.5% | |
| 53.33% | 30 | 4.9 | 766 | 11,753 | 41.7% | 61.1% | |
| 43.33% | 30 | 4.9 | 842 | 9,899 | 43.8% | 42.9% | |
| 50.00% | 30 | 4.0 | 797 | 9,549 | 53.3% | 46.7% | |
| 46.67% | 30 | 5.8 | 1,003 | 11,213 | 35.3% | 61.5% | |
| 60.00% | 30 | 5.8 | 974 | 12,656 | 56.3% | 64.3% | |
| 41.38% | 29 | 1.9 | 749 | 9,386 | 61.5% | 25.0% | |
| 34.48% | 29 | 4.5 | 776 | 11,152 | 46.1% | 25.0% | |
| 60.71% | 28 | 6.3 | 884 | 11,962 | 66.7% | 53.9% | |
| 57.14% | 28 | 5.8 | 842 | 10,800 | 30.8% | 80.0% | |
| 51.85% | 27 | 5.7 | 853 | 10,363 | 55.6% | 50.0% | |
| 59.26% | 27 | 6.5 | 1,010 | 10,768 | 47.1% | 80.0% | |
| 66.67% | 27 | 4.5 | 799 | 10,683 | 60.0% | 70.6% | |
| 48.15% | 27 | 4.1 | 899 | 11,141 | 55.6% | 44.4% | |
| 60.00% | 25 | 5.9 | 894 | 11,247 | 50.0% | 66.7% | |
| 60.00% | 25 | 5.8 | 1,097 | 11,790 | 63.6% | 57.1% | |
| 52.00% | 25 | 6.0 | 876 | 10,970 | 50.0% | 54.5% | |
| 24.00% | 25 | 2.1 | 683 | 9,027 | 8.3% | 38.5% | |
| 45.83% | 24 | 5.7 | 928 | 12,684 | 54.5% | 38.5% | |
| 50.00% | 24 | 4.0 | 843 | 9,659 | 58.3% | 41.7% | |
| 62.50% | 24 | 5.5 | 944 | 12,687 | 70.0% | 57.1% | |
| 56.52% | 23 | 5.8 | 843 | 10,694 | 66.7% | 50.0% | |
| 43.48% | 23 | 5.2 | 706 | 9,060 | 45.5% | 41.7% | |
| 52.17% | 23 | 1.8 | 651 | 9,971 | 60.0% | 46.1% | |
| 45.45% | 22 | 5.3 | 1,033 | 10,763 | 58.3% | 30.0% | |
| 38.10% | 21 | 5.7 | 921 | 10,267 | 27.3% | 50.0% | |
| 38.10% | 21 | 5.3 | 896 | 10,918 | 50.0% | 27.3% | |
| 61.90% | 21 | 4.6 | 1,094 | 11,979 | 60.0% | 63.6% | |
| 40.00% | 20 | 4.5 | 792 | 10,421 | 37.5% | 41.7% | |
| 70.00% | 20 | 6.5 | 833 | 13,051 | 57.1% | 76.9% | |
| 50.00% | 20 | 6.5 | 994 | 11,377 | 50.0% | 50.0% | |
| 38.89% | 18 | 5.5 | 876 | 12,338 | 0.0% | 53.9% | |
| 55.56% | 18 | 6.3 | 1,074 | 11,710 | 44.4% | 66.7% | |
| 70.59% | 17 | 5.1 | 899 | 11,946 | 80.0% | 66.7% | |
| 70.59% | 17 | 5.4 | 1,011 | 9,965 | 70.0% | 71.4% | |
| 64.71% | 17 | 2.9 | 814 | 11,524 | 66.7% | 63.6% | |
| 58.82% | 17 | 6.6 | 797 | 10,654 | 44.4% | 75.0% | |
| 58.82% | 17 | 6.6 | 1,104 | 11,446 | 62.5% | 55.6% | |
| 68.75% | 16 | 6.5 | 932 | 10,769 | 60.0% | 83.3% | |
| 25.00% | 16 | 5.6 | 859 | 10,803 | 33.3% | 14.3% | |
| 37.50% | 16 | 5.8 | 826 | 10,228 | 42.9% | 33.3% | |
| 60.00% | 15 | 6.3 | 1,141 | 11,663 | 70.0% | 40.0% | |
| 64.29% | 14 | 6.3 | 971 | 12,088 | 62.5% | 66.7% | |
| 42.86% | 14 | 5.6 | 1,072 | 9,824 | 57.1% | 28.6% | |
| 28.57% | 14 | 5.6 | 954 | 10,832 | 20.0% | 33.3% | |
| 53.85% | 13 | 5.7 | 992 | 11,963 | 100.0% | 33.3% | |
| 46.15% | 13 | 6.1 | 1,050 | 13,750 | 100.0% | 36.4% | |
| 53.85% | 13 | 5.7 | 957 | 10,750 | 40.0% | 62.5% | |
| 61.54% | 13 | 5.9 | 852 | 10,158 | 66.7% | 57.1% | |
| 53.85% | 13 | 6.1 | 882 | 10,089 | 50.0% | 57.1% | |
| 61.54% | 13 | 6.0 | 906 | 10,720 | 66.7% | 57.1% | |
| 23.08% | 13 | 5.1 | 1,027 | 14,057 | 50.0% | 11.1% | |
| 41.67% | 12 | 6.1 | 842 | 9,171 | 33.3% | 44.4% | |
| 50.00% | 12 | 5.6 | 864 | 10,810 | 42.9% | 60.0% | |
| 63.64% | 11 | 5.5 | 1,253 | 11,387 | 66.7% | 60.0% | |
| 54.55% | 11 | 5.3 | 733 | 11,353 | 50.0% | 57.1% | |
| 36.36% | 11 | 5.3 | 783 | 10,751 | 50.0% | 20.0% | |
| 50.00% | 10 | 5.2 | 1,081 | 13,576 | 0.0% | 50.0% | |
| 50.00% | 10 | 6.3 | 995 | 11,599 | 75.0% | 33.3% | |
| 60.00% | 10 | 5.7 | 874 | 12,366 | 100.0% | 42.9% | |
| 40.00% | 10 | 5.9 | 809 | 10,756 | 75.0% | 16.7% | |
| 70.00% | 10 | 6.2 | 1,037 | 12,291 | 71.4% | 66.7% | |
| 40.00% | 10 | 5.5 | 797 | 11,598 | 0.0% | 57.1% | |
| 55.56% | 9 | 2.7 | 701 | 8,259 | 50.0% | 60.0% | |
| 77.78% | 9 | 5.1 | 914 | 9,863 | 100.0% | 60.0% | |
| 55.56% | 9 | 5.0 | 932 | 10,390 | 40.0% | 75.0% | |
| 66.67% | 9 | 5.5 | 814 | 12,256 | 66.7% | 66.7% | |
| 55.56% | 9 | 3.3 | 840 | 9,986 | 60.0% | 50.0% | |
| 44.44% | 9 | 1.7 | 578 | 7,562 | 66.7% | 0.0% | |
| 44.44% | 9 | 4.3 | 1,043 | 12,617 | 66.7% | 33.3% | |
| 55.56% | 9 | 1.9 | 666 | 9,062 | 80.0% | 25.0% | |
| 62.50% | 8 | 6.1 | 869 | 12,160 | 66.7% | 60.0% | |
| 50.00% | 8 | 5.2 | 911 | 11,475 | 0.0% | 66.7% | |
| 71.43% | 7 | 5.7 | 1,109 | 11,262 | 66.7% | 75.0% | |
| 42.86% | 7 | 4.6 | 1,124 | 11,157 | 50.0% | 33.3% | |
| 42.86% | 7 | 6.3 | 751 | 9,382 | 40.0% | 50.0% | |
| 42.86% | 7 | 6.2 | 1,032 | 16,020 | 0.0% | 50.0% | |
| 42.86% | 7 | 2.9 | 636 | 11,275 | 50.0% | 40.0% | |
| 66.67% | 6 | 2.4 | 772 | 11,921 | 0.0% | 66.7% | |
| 83.33% | 6 | 5.3 | 902 | 9,066 | 80.0% | 100.0% | |
| 50.00% | 6 | 6.8 | 865 | 10,373 | 100.0% | 25.0% | |
| 60.00% | 5 | 4.3 | 806 | 9,854 | 66.7% | 50.0% | |
| 100.00% | 5 | 6.3 | 660 | 9,511 | 100.0% | 100.0% | |
| 80.00% | 5 | 1.7 | 774 | 10,818 | 100.0% | 66.7% | |
| 40.00% | 5 | 6.0 | 1,034 | 13,204 | 100.0% | 25.0% | |
| 60.00% | 5 | 2.8 | 1,021 | 13,566 | 100.0% | 33.3% | |
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
Swain vs Trundle - Frequently Asked Questions
How does Swain do against Trundle in League of Legends?
Swain wins the Swain vs Trundle matchup with a 60.0% win rate compared to Trundle'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 Trundle in the early game?
In the early game, Swain has the advantage against Trundle with a 66.7% win rate versus 33.3%. 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 Trundle in the late game?
In the late game, Swain takes over the Swain vs Trundle 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 Trundle matchup?
Swain wins the matchup against Trundle 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 Trundle?
The best Swain build against Trundle includes Liandry's Torment, Zhonya's Hourglass, Malignance with Gluttonous Greaves. Check the matchup breakdown above for the full item path and build order.
What are the best Swain runes against Trundle?
The best Swain runes against Trundle use the Sorcery primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Swain vs Trundle matchup. See the full rune breakdown in the matchup comparison above.
Does Swain counter Trundle?
Yes, Swain has a favorable matchup against Trundle with a 60.0% win rate. Swain strongly counters Trundle in lane based on current patch 26.10 data.
How do I play Swain against Trundle?
When playing Swain against Trundle, 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.