Swainvs Evelynn
Swain vs Evelynn is a decisive matchup in LoL patch 26.10. Swain wins with a 66.7% win rate (+33.3%) over Evelynn based on 6 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 Evelynn 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.
Evelynn(66.7%)Who Wins the Swain vs Evelynn Matchup?
Swain vs Evelynn Matchup Summary
The Swain vs Evelynn matchup is a decisive matchup in League of Legends ranked play. Based on 6 recent matches analyzed, Swain wins with a 66.7% win rate compared to Evelynn's 33.3%, giving Swain a 33.3 percentage point advantage. Swain dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Evelynn 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 1.0s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Swain players can confidently pick into Evelynn and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Evelynn 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 Evelynn Laning Phase Breakdown
Swain is favored during the laning phase against Evelynn, winning 3 out of 5 key stat categories. Swain holds advantages in farming, crowd control and sustain, making them the stronger laner in this matchup.
Best Swain Build Against Evelynn
Sorcerer's Shoes is the optimal boots choice against Evelynn, providing the mobility and stats Swain needs most in this matchup. The top-performing core items for Swain against Evelynn are Liandry's Torment, 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 100.0% win rate across 2 games — well above average and making it the top item path against Evelynn. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Swain vs Evelynn matchup.
Early Game vs Late Game
Swain0.0%Evelynn0.0%Swain66.7%Evelynn33.3%The early game (first 15 minutes) is a toss-up between Swain and Evelynn, with Swain holding a razor-thin 0.0% win rate edge (+0.0%). Individual skill and jungle proximity will matter more than champion advantage in the early laning phase.
Swain is far superior in the late game (25+ minutes), boasting a 66.7% win rate — 33.3 points above Evelynn. Extended games heavily favor Swain, whose kit and scaling make them a dominant force in team fights and objective control.
Swain holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Evelynn players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Swain Runes Against Evelynn
Precision
Resolve
Running Precision primary with Resolve secondary allows Swain to press their advantage against Evelynn, 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% | |
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Swain vs Evelynn - Frequently Asked Questions
How does Swain do against Evelynn in League of Legends?
Swain wins the Swain vs Evelynn matchup with a 66.7% win rate compared to Evelynn's 33.3%, a 33.3 percentage point difference. This data is based on 6 recent ranked games in patch 26.10.
How does Swain do against Evelynn in the early game?
In the early game, Swain has the advantage against Evelynn with a 0.0% 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 Evelynn in the late game?
In the late game, Swain takes over the Swain vs Evelynn matchup with a 66.7% win rate compared to 33.3%. Swain scales better into team fights and objective contests after 25 minutes.
Who wins the Swain vs Evelynn matchup?
Swain wins the matchup against Evelynn with a 66.7% win rate in League of Legends patch 26.10. The 33.3 percentage point advantage means Swain is significantly favored in this lane matchup based on 6 games analyzed.
What is the best Swain build against Evelynn?
The best Swain build against Evelynn includes Liandry's Torment, Malignance, Rylai's Crystal Scepter with Sorcerer's Shoes. This build achieves a 100.0% 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 Evelynn?
The best Swain runes against Evelynn use the Precision primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Swain vs Evelynn matchup. See the full rune breakdown in the matchup comparison above.
Does Swain counter Evelynn?
Yes, Swain has a favorable matchup against Evelynn with a 66.7% win rate. Swain strongly counters Evelynn in lane based on current patch 26.10 data.
How do I play Swain against Evelynn?
When playing Swain against Evelynn, 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.