
Swainvs Aphelios
Swain vs Aphelios is a decisive matchup in LoL patch 26.3. Swain wins with a 56.4% win rate (+12.7%) over Aphelios based on 55 games. Swain wins the early laning phase while Aphelios scales better into the late game. Below you'll find the best Swain build, runes, laning stats, and strategies for the Swain vs Aphelios 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 Aphelios Matchup?

Swain vs Aphelios Matchup Summary
The Swain vs Aphelios matchup is a decisive matchup in League of Legends ranked play. Based on 55 recent matches analyzed, Swain wins with a 56.4% win rate compared to Aphelios's 43.6%, giving Swain a 12.7 percentage point advantage. Game phase dynamics play a critical role here: Swain controls the early laning stage, but Aphelios outscales as the game goes longer. The matchup shifts dramatically depending on game length — Swain needs to press advantages before Aphelios reaches their power spikes, while Aphelios should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Swain leads by 1.3s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Swain players can confidently pick into Aphelios and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Aphelios 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 Aphelios Laning Phase Breakdown
Aphelios is favored during the laning phase against Swain, winning 3 out of 5 key stat categories. Aphelios holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Swain Build Against Aphelios
Chainlaced Crushers is the optimal boots choice against Aphelios, providing the mobility and stats Swain needs most in this matchup. The top-performing core items for Swain against Aphelios 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 Aphelios matchup.
Early Game vs Late Game
Swain dominates the early game (first 15 minutes) with a commanding 66.7% win rate — a 33.3 percentage point lead over Aphelios. 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), Aphelios takes over with a 51.6% win rate, leading Swain by 3.2 percentage points. Aphelios scales more effectively into team fights and objective contests.
This matchup features a dramatic power shift: Swain must aggressively press their early advantage and close out the game before Aphelios reaches their scaling breakpoints. If Aphelios survives the laning phase without falling too far behind, the matchup flips in their favor. Dragon and Rift Herald control are pivotal — the team that secures early objectives can snowball or buy time to scale.
Best Swain Runes Against Aphelios
Running Precision primary with Sorcery secondary allows Swain to press their advantage against Aphelios, amplifying the strengths that make this a favorable matchup.
Swain matchup data for League of Legends patch 26.3. 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 |
|---|---|---|---|---|---|---|---|
| 54.27% | 234 | 2.7 | 679 | 10,264 | 49.0% | 58.5% | |
| 45.69% | 197 | 2.1 | 738 | 10,283 | 45.9% | 45.5% | |
| 46.28% | 188 | 3.3 | 777 | 11,047 | 47.8% | 45.4% | |
| 49.46% | 186 | 1.7 | 761 | 10,239 | 50.0% | 49.0% | |
| 45.41% | 185 | 2.2 | 690 | 10,010 | 43.4% | 47.1% | |
| 59.66% | 176 | 5.6 | 916 | 13,061 | 65.4% | 55.1% | |
| 60.47% | 172 | 1.7 | 735 | 9,860 | 59.0% | 61.7% | |
| 52.76% | 163 | 1.7 | 660 | 9,425 | 57.1% | 48.8% | |
| 56.60% | 159 | 1.8 | 776 | 9,880 | 60.9% | 51.4% | |
| 65.81% | 155 | 5.7 | 957 | 12,794 | 75.7% | 56.8% | |
| 51.43% | 140 | 6.1 | 949 | 12,353 | 52.8% | 50.0% | |
| 56.80% | 125 | 5.9 | 969 | 12,889 | 59.3% | 54.9% | |
| 42.28% | 123 | 6.0 | 845 | 11,054 | 43.5% | 40.7% | |
| 47.93% | 121 | 1.6 | 749 | 9,843 | 51.6% | 44.1% | |
| 51.67% | 120 | 6.1 | 926 | 11,133 | 46.5% | 56.5% | |
| 47.06% | 119 | 1.8 | 753 | 9,939 | 54.7% | 38.2% | |
| 47.83% | 115 | 2.3 | 907 | 9,839 | 49.2% | 46.1% | |
| 49.57% | 115 | 2.0 | 715 | 9,451 | 54.4% | 44.8% | |
| 54.55% | 110 | 4.7 | 809 | 11,625 | 48.0% | 60.0% | |
| 51.89% | 106 | 5.5 | 894 | 11,649 | 45.8% | 56.9% | |
| 49.52% | 105 | 3.6 | 747 | 10,803 | 33.3% | 63.2% | |
| 52.38% | 105 | 6.0 | 916 | 11,588 | 46.7% | 56.7% | |
| 53.85% | 104 | 6.2 | 987 | 12,890 | 66.0% | 41.2% | |
| 47.06% | 102 | 2.0 | 713 | 10,774 | 41.5% | 50.8% | |
| 59.18% | 98 | 6.0 | 1,019 | 12,872 | 67.4% | 51.9% | |
| 40.82% | 98 | 1.8 | 753 | 10,135 | 35.7% | 44.6% | |
| 42.11% | 95 | 2.6 | 635 | 10,449 | 41.7% | 42.4% | |
| 55.68% | 88 | 5.7 | 875 | 10,824 | 60.8% | 48.6% | |
| 50.62% | 81 | 1.8 | 743 | 9,619 | 50.0% | 51.1% | |
| 52.50% | 80 | 6.2 | 901 | 13,036 | 57.1% | 48.9% | |
| 50.63% | 79 | 1.8 | 660 | 9,818 | 42.4% | 56.5% | |
| 51.28% | 78 | 1.8 | 651 | 9,447 | 55.0% | 47.4% | |
| 46.67% | 75 | 3.5 | 789 | 10,794 | 36.7% | 53.3% | |
| 48.65% | 74 | 1.8 | 781 | 10,403 | 50.0% | 47.7% | |
| 54.17% | 72 | 3.0 | 811 | 11,111 | 57.6% | 51.3% | |
| 55.07% | 69 | 1.7 | 713 | 10,046 | 61.1% | 48.5% | |
| 61.76% | 68 | 4.9 | 949 | 11,688 | 73.9% | 55.6% | |
| 52.24% | 67 | 5.8 | 985 | 12,444 | 48.5% | 55.9% | |
| 49.25% | 67 | 5.9 | 947 | 10,699 | 46.7% | 51.4% | |
| 55.22% | 67 | 1.8 | 565 | 9,167 | 56.8% | 53.3% | |
| 48.48% | 66 | 5.9 | 914 | 12,008 | 51.7% | 46.0% | |
| 56.06% | 66 | 6.3 | 1,043 | 11,333 | 58.1% | 54.3% | |
| 65.15% | 66 | 6.2 | 918 | 10,728 | 62.5% | 69.2% | |
| 63.08% | 65 | 1.6 | 745 | 10,047 | 61.3% | 64.7% | |
| 50.00% | 64 | 6.0 | 993 | 12,650 | 64.3% | 38.9% | |
| 38.33% | 60 | 5.9 | 858 | 12,226 | 41.2% | 37.2% | |
| 55.93% | 59 | 5.3 | 853 | 10,140 | 64.3% | 48.4% | |
| 50.00% | 58 | 1.6 | 814 | 9,393 | 56.7% | 42.9% | |
| 47.37% | 57 | 5.6 | 1,005 | 10,261 | 43.3% | 51.9% | |
| 56.36% | 55 | 6.3 | 981 | 13,323 | 66.7% | 48.4% | |
| 55.56% | 54 | 5.4 | 891 | 11,424 | 55.0% | 55.9% | |
| 61.11% | 54 | 5.7 | 874 | 12,224 | 68.0% | 55.2% | |
| 48.15% | 54 | 1.6 | 705 | 9,907 | 45.8% | 50.0% | |
| 61.54% | 52 | 6.1 | 899 | 11,999 | 56.3% | 70.0% | |
| 52.94% | 51 | 6.0 | 857 | 11,324 | 48.0% | 57.7% | |
| 54.90% | 51 | 5.9 | 1,041 | 11,182 | 60.0% | 50.0% | |
| 56.00% | 50 | 4.5 | 838 | 11,243 | 58.3% | 53.9% | |
| 66.00% | 50 | 2.6 | 755 | 10,314 | 69.2% | 62.5% | |
| 47.92% | 48 | 6.2 | 747 | 10,645 | 37.5% | 58.3% | |
| 52.08% | 48 | 6.1 | 1,049 | 13,202 | 68.0% | 34.8% | |
| 46.81% | 47 | 1.7 | 707 | 10,299 | 55.6% | 41.4% | |
| 46.81% | 47 | 5.0 | 763 | 11,141 | 52.6% | 42.9% | |
| 53.19% | 47 | 5.6 | 959 | 11,566 | 61.1% | 48.3% | |
| 47.83% | 46 | 6.0 | 862 | 11,831 | 60.0% | 41.9% | |
| 50.00% | 46 | 4.9 | 989 | 11,926 | 55.0% | 46.1% | |
| 55.56% | 45 | 6.0 | 951 | 13,284 | 58.8% | 53.6% | |
| 55.56% | 45 | 5.9 | 1,026 | 10,705 | 66.7% | 42.9% | |
| 64.44% | 45 | 5.3 | 1,030 | 11,134 | 57.9% | 69.2% | |
| 40.91% | 44 | 1.8 | 633 | 8,753 | 31.6% | 48.0% | |
| 47.62% | 42 | 6.1 | 872 | 11,134 | 52.2% | 42.1% | |
| 70.73% | 41 | 6.0 | 1,005 | 10,906 | 70.0% | 71.4% | |
| 47.50% | 40 | 5.7 | 807 | 10,971 | 45.5% | 50.0% | |
| 61.54% | 39 | 5.9 | 857 | 11,100 | 55.0% | 68.4% | |
| 63.16% | 38 | 2.1 | 769 | 10,839 | 76.9% | 56.0% | |
| 50.00% | 38 | 6.3 | 1,062 | 12,041 | 47.4% | 52.6% | |
| 57.89% | 38 | 6.0 | 1,074 | 12,963 | 60.9% | 53.3% | |
| 48.65% | 37 | 6.4 | 945 | 11,186 | 55.0% | 41.2% | |
| 41.18% | 34 | 3.9 | 907 | 10,679 | 35.3% | 47.1% | |
| 54.55% | 33 | 1.9 | 724 | 10,327 | 50.0% | 60.0% | |
| 51.52% | 33 | 5.8 | 999 | 12,955 | 43.8% | 58.8% | |
| 51.52% | 33 | 6.1 | 901 | 11,636 | 46.1% | 55.0% | |
| 43.75% | 32 | 5.9 | 840 | 10,364 | 47.1% | 40.0% | |
| 53.13% | 32 | 5.2 | 911 | 10,677 | 56.3% | 50.0% | |
| 58.06% | 31 | 5.5 | 907 | 11,832 | 44.4% | 63.6% | |
| 44.83% | 29 | 5.7 | 836 | 10,196 | 35.7% | 53.3% | |
| 44.83% | 29 | 4.4 | 946 | 10,226 | 60.0% | 28.6% | |
| 65.52% | 29 | 5.9 | 986 | 12,231 | 55.6% | 70.0% | |
| 42.86% | 28 | 6.2 | 1,147 | 11,485 | 40.0% | 44.4% | |
| 42.86% | 28 | 5.4 | 842 | 11,763 | 35.7% | 50.0% | |
| 64.29% | 28 | 6.2 | 977 | 11,857 | 60.0% | 66.7% | |
| 59.26% | 27 | 4.5 | 793 | 11,265 | 85.7% | 50.0% | |
| 40.74% | 27 | 5.5 | 731 | 9,215 | 50.0% | 22.2% | |
| 59.26% | 27 | 1.8 | 745 | 9,682 | 66.7% | 50.0% | |
| 33.33% | 27 | 2.4 | 656 | 10,160 | 30.0% | 35.3% | |
| 50.00% | 26 | 5.5 | 1,242 | 11,658 | 60.0% | 43.8% | |
| 57.69% | 26 | 6.3 | 863 | 11,035 | 30.8% | 84.6% | |
| 68.00% | 25 | 1.5 | 793 | 9,087 | 62.5% | 77.8% | |
| 64.00% | 25 | 6.6 | 935 | 10,346 | 76.5% | 37.5% | |
| 60.00% | 25 | 6.5 | 1,015 | 11,155 | 50.0% | 69.2% | |
| 62.50% | 24 | 6.5 | 1,192 | 12,343 | 58.3% | 66.7% | |
| 66.67% | 24 | 5.8 | 978 | 11,153 | 70.6% | 57.1% | |
| 70.83% | 24 | 6.3 | 1,053 | 12,185 | 70.0% | 71.4% | |
| 34.78% | 23 | 5.3 | 905 | 10,443 | 50.0% | 23.1% | |
| 52.17% | 23 | 6.0 | 1,063 | 14,595 | 28.6% | 62.5% | |
| 63.64% | 22 | 5.5 | 1,179 | 12,539 | 66.7% | 61.5% | |
| 33.33% | 21 | 6.5 | 819 | 11,489 | 14.3% | 42.9% | |
| 55.00% | 20 | 5.7 | 870 | 10,314 | 69.2% | 28.6% | |
| 50.00% | 20 | 6.5 | 920 | 11,584 | 60.0% | 40.0% | |
| 52.63% | 19 | 5.8 | 895 | 10,278 | 33.3% | 61.5% | |
| 36.84% | 19 | 6.2 | 738 | 9,205 | 46.1% | 16.7% | |
| 63.16% | 19 | 5.6 | 874 | 11,933 | 28.6% | 83.3% | |
| 66.67% | 18 | 6.5 | 965 | 11,191 | 76.9% | 40.0% | |
| 52.94% | 17 | 5.8 | 1,113 | 12,136 | 57.1% | 50.0% | |
| 76.47% | 17 | 6.1 | 1,049 | 10,811 | 71.4% | 80.0% | |
| 58.82% | 17 | 6.1 | 913 | 12,104 | 71.4% | 50.0% | |
| 50.00% | 16 | 5.3 | 780 | 9,361 | 44.4% | 57.1% | |
| 50.00% | 16 | 5.8 | 1,030 | 14,023 | 33.3% | 53.9% | |
| 60.00% | 15 | 6.2 | 1,126 | 13,140 | 37.5% | 85.7% | |
| 60.00% | 15 | 5.0 | 716 | 8,395 | 70.0% | 40.0% | |
| 66.67% | 15 | 6.1 | 902 | 11,859 | 85.7% | 50.0% | |
| 53.33% | 15 | 5.0 | 1,030 | 11,632 | 60.0% | 50.0% | |
| 40.00% | 15 | 5.9 | 844 | 10,773 | 33.3% | 50.0% | |
| 53.33% | 15 | 6.2 | 918 | 11,183 | 71.4% | 37.5% | |
| 35.71% | 14 | 6.5 | 958 | 11,326 | 25.0% | 50.0% | |
| 21.43% | 14 | 6.0 | 782 | 9,919 | 16.7% | 25.0% | |
| 57.14% | 14 | 6.0 | 923 | 11,022 | 75.0% | 33.3% | |
| 30.77% | 13 | 5.2 | 1,043 | 10,858 | 75.0% | 11.1% | |
| 30.77% | 13 | 6.3 | 839 | 11,595 | 33.3% | 28.6% | |
| 61.54% | 13 | 6.2 | 867 | 11,096 | 50.0% | 80.0% | |
| 41.67% | 12 | 1.7 | 828 | 10,759 | 50.0% | 33.3% | |
| 36.36% | 11 | 1.6 | 702 | 9,369 | 28.6% | 50.0% | |
| 40.00% | 10 | 3.8 | 744 | 11,012 | 50.0% | 33.3% | |
| 30.00% | 10 | 4.9 | 933 | 11,729 | 25.0% | 33.3% | |
| 60.00% | 10 | 4.1 | 839 | 12,959 | 50.0% | 62.5% | |
| 88.89% | 9 | 4.5 | 985 | 10,104 | 83.3% | 100.0% | |
| 55.56% | 9 | 5.6 | 854 | 13,306 | 66.7% | 50.0% | |
| 75.00% | 8 | 3.8 | 1,011 | 9,488 | 75.0% | 75.0% | |
| 37.50% | 8 | 2.0 | 931 | 11,673 | 25.0% | 50.0% | |
| 42.86% | 7 | 4.6 | 801 | 11,341 | 0.0% | 50.0% | |
| 14.29% | 7 | 5.7 | 869 | 11,311 | 25.0% | 0.0% | |
| 57.14% | 7 | 3.6 | 923 | 10,585 | 75.0% | 33.3% | |
| 28.57% | 7 | 1.7 | 610 | 10,353 | 0.0% | 50.0% | |
| 83.33% | 6 | 4.4 | 667 | 11,362 | 100.0% | 66.7% | |
| 66.67% | 6 | 6.8 | 961 | 12,613 | 100.0% | 60.0% | |
| 33.33% | 6 | 5.1 | 814 | 10,870 | 25.0% | 50.0% | |
| 16.67% | 6 | 4.0 | 979 | 10,919 | 25.0% | 0.0% | |
| 66.67% | 6 | 5.0 | 992 | 12,435 | 100.0% | 60.0% | |
| 33.33% | 6 | 2.0 | 690 | 10,180 | 33.3% | 33.3% | |
| 83.33% | 6 | 5.7 | 970 | 14,526 | 100.0% | 75.0% | |
| 20.00% | 5 | 6.4 | 966 | 10,725 | 50.0% | 0.0% | |
| 40.00% | 5 | 2.6 | 753 | 10,398 | 100.0% | 0.0% | |
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Swain vs Aphelios - Frequently Asked Questions
How does Swain do against Aphelios in League of Legends?
Swain wins the Swain vs Aphelios matchup with a 56.4% win rate compared to Aphelios's 43.6%, a 12.7 percentage point difference. This data is based on 55 recent ranked games in patch 26.3.
How does Swain do against Aphelios in the early game?
In the early game, Swain has the advantage against Aphelios 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 Aphelios in the late game?
In the late game, Aphelios takes over the Swain vs Aphelios matchup with a 51.6% win rate compared to 48.4%. Aphelios scales better into team fights and objective contests after 25 minutes.
Who wins the Swain vs Aphelios matchup?
Swain wins the matchup against Aphelios with a 56.4% win rate in League of Legends patch 26.3. The 12.7 percentage point advantage means Swain is significantly favored in this lane matchup based on 55 games analyzed.
What is the best Swain build against Aphelios?
The best Swain build against Aphelios includes Liandry's Torment, Zhonya's Hourglass, Rylai's Crystal Scepter with Chainlaced Crushers. Check the matchup breakdown above for the full item path and build order.
What are the best Swain runes against Aphelios?
The best Swain runes against Aphelios use the Precision primary tree with Sorcery secondary. This rune setup achieves a 66.7% win rate in the Swain vs Aphelios matchup. See the full rune breakdown in the matchup comparison above.
Does Swain counter Aphelios?
Yes, Swain has a favorable matchup against Aphelios with a 56.4% win rate. Swain strongly counters Aphelios in lane based on current patch 26.3 data.
How do I play Swain against Aphelios?
When playing Swain against Aphelios, 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.
