Swainvs Pyke
Swain vs Pyke is a decisive matchup in LoL patch 26.10. Swain wins with a 53.3% win rate (+6.7%) over Pyke based on 120 games. Swain wins the early laning phase while Pyke scales better into the late game. Below you'll find the best Swain build, runes, laning stats, and strategies for the Swain vs Pyke 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 Pyke Matchup?
Swain vs Pyke Matchup Summary
The Swain vs Pyke matchup is a decisive matchup in League of Legends ranked play. Based on 120 recent matches analyzed, Swain wins with a 53.3% win rate compared to Pyke's 46.7%, giving Swain a 6.7 percentage point advantage. Game phase dynamics play a critical role here: Swain controls the early laning stage, but Pyke outscales as the game goes longer. The matchup shifts dramatically depending on game length — Swain needs to press advantages before Pyke reaches their power spikes, while Pyke should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in CS, where Swain leads by 0.7 CS/min — a difference that heavily influences the outcome of trades and skirmishes. Swain players can confidently pick into Pyke and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Pyke 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 Pyke Laning Phase Breakdown
Swain is favored during the laning phase against Pyke, winning 4 out of 5 key stat categories. Swain holds advantages in farming, damage, crowd control and sustain, making them the stronger laner in this matchup.
Best Swain Build Against Pyke
Sorcerer's Shoes is the optimal boots choice against Pyke, providing the mobility and stats Swain needs most in this matchup. The top-performing core items for Swain against Pyke 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. This build performs exceptionally well, achieving a 70.0% win rate across 10 games — well above average and making it the top item path against Pyke. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Swain vs Pyke matchup.
Early Game vs Late Game
Swain60.7%Pyke39.3%Swain46.9%Pyke53.1%Swain dominates the early game (first 15 minutes) with a commanding 60.7% win rate — a 21.4 percentage point lead over Pyke. This lopsided early game means Swain can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Pyke is far superior in the late game (25+ minutes), boasting a 53.1% win rate — 6.3 points above Swain. Extended games heavily favor Pyke, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Swain must aggressively press their early advantage and close out the game before Pyke reaches their scaling breakpoints. If Pyke 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 Pyke
Domination
Precision
Running Domination primary with Precision secondary allows Swain to press their advantage against Pyke, 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 |
|---|---|---|---|---|---|---|---|
| 47.91% | 311 | 2.0 | 668 | 9,557 | 51.6% | 45.4% | |
| 54.39% | 296 | 2.5 | 652 | 9,880 | 50.8% | 57.1% | |
| 59.91% | 222 | 1.7 | 719 | 9,941 | 65.3% | 55.9% | |
| 50.24% | 211 | 2.4 | 699 | 10,451 | 40.6% | 54.9% | |
| 55.72% | 201 | 1.8 | 758 | 9,893 | 62.6% | 49.0% | |
| 48.95% | 190 | 1.8 | 708 | 10,217 | 52.6% | 46.5% | |
| 40.00% | 190 | 2.7 | 730 | 10,221 | 40.0% | 40.0% | |
| 48.31% | 178 | 1.8 | 764 | 10,147 | 54.8% | 43.8% | |
| 43.95% | 157 | 2.0 | 659 | 9,504 | 49.3% | 40.0% | |
| 46.72% | 137 | 6.1 | 930 | 12,558 | 63.0% | 36.1% | |
| 52.76% | 127 | 6.0 | 953 | 12,782 | 64.6% | 45.6% | |
| 53.33% | 120 | 1.9 | 684 | 10,259 | 60.7% | 46.9% | |
| 50.00% | 120 | 5.1 | 841 | 11,204 | 62.3% | 40.3% | |
| 54.95% | 111 | 3.4 | 706 | 10,611 | 55.0% | 54.9% | |
| 40.74% | 108 | 2.3 | 750 | 9,741 | 38.6% | 43.1% | |
| 45.37% | 108 | 1.8 | 756 | 10,526 | 39.5% | 48.6% | |
| 47.62% | 105 | 1.9 | 861 | 9,131 | 51.7% | 42.5% | |
| 54.81% | 104 | 5.4 | 887 | 12,184 | 68.3% | 46.0% | |
| 58.42% | 101 | 1.9 | 704 | 9,295 | 56.9% | 60.0% | |
| 51.00% | 100 | 2.3 | 629 | 9,522 | 43.2% | 57.1% | |
| 40.82% | 98 | 1.6 | 603 | 8,625 | 43.4% | 37.8% | |
| 45.26% | 95 | 1.6 | 736 | 9,209 | 51.2% | 40.4% | |
| 52.33% | 86 | 2.9 | 688 | 10,536 | 43.2% | 59.2% | |
| 58.33% | 84 | 6.0 | 935 | 11,101 | 53.5% | 63.4% | |
| 51.19% | 84 | 1.9 | 674 | 9,559 | 48.6% | 53.1% | |
| 48.15% | 81 | 1.7 | 513 | 8,689 | 43.9% | 52.5% | |
| 33.33% | 81 | 2.0 | 654 | 9,921 | 25.0% | 38.8% | |
| 53.75% | 80 | 5.7 | 976 | 12,919 | 51.4% | 55.6% | |
| 45.00% | 80 | 5.7 | 868 | 10,845 | 43.2% | 46.5% | |
| 50.65% | 77 | 5.8 | 911 | 10,553 | 59.5% | 42.5% | |
| 50.68% | 73 | 5.0 | 802 | 10,632 | 65.5% | 40.9% | |
| 56.16% | 73 | 1.9 | 639 | 9,065 | 62.2% | 50.0% | |
| 58.33% | 72 | 1.9 | 816 | 9,283 | 70.6% | 47.4% | |
| 39.44% | 71 | 2.0 | 831 | 10,088 | 53.9% | 31.1% | |
| 49.28% | 69 | 5.7 | 864 | 11,246 | 46.9% | 51.4% | |
| 42.42% | 66 | 5.2 | 943 | 10,551 | 40.6% | 44.1% | |
| 50.00% | 64 | 5.2 | 882 | 11,467 | 56.0% | 46.1% | |
| 52.38% | 63 | 5.8 | 860 | 12,378 | 63.2% | 47.7% | |
| 35.48% | 62 | 1.7 | 725 | 9,517 | 52.4% | 26.8% | |
| 54.24% | 59 | 5.9 | 870 | 11,631 | 47.1% | 64.0% | |
| 48.28% | 58 | 4.8 | 871 | 10,640 | 61.5% | 37.5% | |
| 42.86% | 56 | 2.2 | 767 | 10,854 | 35.0% | 47.2% | |
| 50.94% | 53 | 5.8 | 936 | 10,859 | 44.4% | 57.7% | |
| 45.28% | 53 | 5.7 | 886 | 10,624 | 48.0% | 42.9% | |
| 40.38% | 52 | 1.9 | 655 | 8,599 | 43.5% | 37.9% | |
| 50.98% | 51 | 6.0 | 845 | 10,563 | 56.0% | 46.1% | |
| 50.00% | 50 | 4.5 | 898 | 11,226 | 47.6% | 51.7% | |
| 46.81% | 47 | 1.8 | 756 | 9,200 | 37.5% | 56.5% | |
| 41.30% | 46 | 1.8 | 719 | 10,022 | 42.1% | 40.7% | |
| 48.89% | 45 | 6.1 | 920 | 10,466 | 38.1% | 58.3% | |
| 62.22% | 45 | 1.9 | 670 | 9,512 | 73.9% | 50.0% | |
| 50.00% | 44 | 5.7 | 885 | 10,696 | 60.0% | 41.7% | |
| 53.49% | 43 | 6.2 | 805 | 11,464 | 42.9% | 63.6% | |
| 55.26% | 38 | 2.4 | 766 | 9,953 | 58.8% | 52.4% | |
| 50.00% | 38 | 5.6 | 968 | 10,551 | 52.9% | 47.6% | |
| 56.76% | 37 | 1.8 | 664 | 9,041 | 52.4% | 62.5% | |
| 55.56% | 36 | 5.8 | 970 | 12,939 | 52.9% | 57.9% | |
| 55.88% | 34 | 6.5 | 925 | 12,627 | 66.7% | 43.8% | |
| 50.00% | 34 | 5.9 | 887 | 12,121 | 69.2% | 38.1% | |
| 69.70% | 33 | 6.1 | 898 | 10,921 | 64.3% | 73.7% | |
| 39.39% | 33 | 6.5 | 918 | 11,364 | 42.9% | 36.8% | |
| 58.06% | 31 | 5.2 | 859 | 11,966 | 53.9% | 61.1% | |
| 41.94% | 31 | 3.9 | 783 | 10,314 | 58.3% | 31.6% | |
| 60.00% | 30 | 6.2 | 788 | 11,713 | 78.6% | 43.8% | |
| 50.00% | 30 | 5.5 | 880 | 10,699 | 42.9% | 56.3% | |
| 60.00% | 30 | 5.8 | 893 | 10,525 | 69.2% | 52.9% | |
| 63.33% | 30 | 6.2 | 763 | 10,524 | 66.7% | 60.0% | |
| 53.33% | 30 | 6.2 | 918 | 10,193 | 53.3% | 53.3% | |
| 41.38% | 29 | 1.7 | 775 | 8,702 | 53.3% | 28.6% | |
| 55.17% | 29 | 6.4 | 986 | 11,140 | 43.8% | 69.2% | |
| 58.62% | 29 | 5.7 | 1,029 | 11,912 | 68.8% | 46.1% | |
| 51.72% | 29 | 5.9 | 986 | 11,721 | 43.8% | 61.5% | |
| 57.14% | 28 | 5.8 | 1,171 | 11,392 | 57.1% | 57.1% | |
| 32.14% | 28 | 4.5 | 795 | 10,829 | 42.9% | 21.4% | |
| 55.56% | 27 | 5.9 | 877 | 11,248 | 33.3% | 73.3% | |
| 37.04% | 27 | 2.0 | 741 | 10,071 | 20.0% | 47.1% | |
| 40.74% | 27 | 5.3 | 848 | 9,994 | 46.7% | 33.3% | |
| 48.15% | 27 | 3.8 | 902 | 10,809 | 50.0% | 47.1% | |
| 61.54% | 26 | 5.6 | 1,081 | 12,270 | 63.6% | 60.0% | |
| 57.69% | 26 | 4.7 | 766 | 10,147 | 50.0% | 64.3% | |
| 61.54% | 26 | 5.8 | 875 | 10,880 | 36.4% | 80.0% | |
| 50.00% | 26 | 3.7 | 818 | 9,686 | 53.9% | 46.1% | |
| 44.00% | 25 | 5.3 | 972 | 10,403 | 57.1% | 27.3% | |
| 75.00% | 24 | 6.2 | 822 | 12,312 | 55.6% | 86.7% | |
| 45.83% | 24 | 5.5 | 974 | 12,221 | 28.6% | 52.9% | |
| 39.13% | 23 | 5.3 | 874 | 10,518 | 50.0% | 27.3% | |
| 56.52% | 23 | 4.2 | 792 | 10,697 | 55.6% | 57.1% | |
| 56.52% | 23 | 5.8 | 1,045 | 12,232 | 41.7% | 72.7% | |
| 47.83% | 23 | 1.7 | 613 | 9,462 | 54.5% | 41.7% | |
| 63.64% | 22 | 5.9 | 847 | 10,037 | 55.6% | 69.2% | |
| 40.91% | 22 | 5.5 | 906 | 12,397 | 54.5% | 27.3% | |
| 50.00% | 22 | 5.6 | 767 | 9,916 | 60.0% | 41.7% | |
| 57.14% | 21 | 5.5 | 872 | 11,081 | 62.5% | 53.9% | |
| 61.90% | 21 | 5.6 | 910 | 11,915 | 63.6% | 60.0% | |
| 45.00% | 20 | 4.5 | 808 | 11,495 | 33.3% | 50.0% | |
| 66.67% | 18 | 5.9 | 894 | 10,528 | 62.5% | 70.0% | |
| 50.00% | 18 | 6.2 | 941 | 11,204 | 44.4% | 55.6% | |
| 38.89% | 18 | 5.9 | 950 | 10,701 | 33.3% | 44.4% | |
| 66.67% | 18 | 5.0 | 1,032 | 10,626 | 60.0% | 75.0% | |
| 72.22% | 18 | 5.9 | 932 | 11,833 | 42.9% | 90.9% | |
| 64.71% | 17 | 3.0 | 827 | 11,972 | 66.7% | 63.6% | |
| 70.59% | 17 | 6.2 | 1,062 | 11,058 | 81.8% | 50.0% | |
| 62.50% | 16 | 6.4 | 1,139 | 12,477 | 66.7% | 57.1% | |
| 31.25% | 16 | 5.5 | 809 | 12,366 | 0.0% | 41.7% | |
| 62.50% | 16 | 6.4 | 817 | 10,349 | 50.0% | 75.0% | |
| 46.67% | 15 | 5.2 | 758 | 9,956 | 42.9% | 50.0% | |
| 53.33% | 15 | 5.3 | 818 | 12,665 | 50.0% | 54.5% | |
| 57.14% | 14 | 6.5 | 913 | 11,189 | 57.1% | 57.1% | |
| 28.57% | 14 | 5.2 | 841 | 10,869 | 28.6% | 28.6% | |
| 50.00% | 14 | 5.8 | 930 | 10,414 | 57.1% | 42.9% | |
| 61.54% | 13 | 5.5 | 1,076 | 11,019 | 83.3% | 42.9% | |
| 61.54% | 13 | 5.8 | 869 | 11,103 | 50.0% | 71.4% | |
| 61.54% | 13 | 5.7 | 838 | 9,189 | 66.7% | 57.1% | |
| 83.33% | 12 | 5.8 | 909 | 12,393 | 83.3% | 83.3% | |
| 58.33% | 12 | 2.4 | 726 | 10,267 | 50.0% | 66.7% | |
| 25.00% | 12 | 5.8 | 858 | 11,233 | 33.3% | 22.2% | |
| 54.55% | 11 | 6.0 | 1,035 | 13,419 | 100.0% | 37.5% | |
| 54.55% | 11 | 5.4 | 1,028 | 12,109 | 100.0% | 28.6% | |
| 72.73% | 11 | 6.3 | 999 | 12,033 | 71.4% | 75.0% | |
| 63.64% | 11 | 4.8 | 1,107 | 13,982 | 0.0% | 63.6% | |
| 45.45% | 11 | 4.5 | 1,021 | 11,861 | 75.0% | 28.6% | |
| 40.00% | 10 | 6.2 | 865 | 8,061 | 50.0% | 33.3% | |
| 20.00% | 10 | 6.0 | 779 | 10,396 | 33.3% | 14.3% | |
| 40.00% | 10 | 5.0 | 978 | 12,750 | 50.0% | 33.3% | |
| 66.67% | 9 | 3.0 | 818 | 8,730 | 75.0% | 60.0% | |
| 44.44% | 9 | 5.1 | 879 | 10,654 | 60.0% | 25.0% | |
| 44.44% | 9 | 2.4 | 650 | 9,454 | 75.0% | 20.0% | |
| 55.56% | 9 | 5.7 | 977 | 12,506 | 50.0% | 60.0% | |
| 33.33% | 9 | 5.8 | 812 | 10,387 | 0.0% | 50.0% | |
| 77.78% | 9 | 5.0 | 947 | 10,333 | 100.0% | 66.7% | |
| 66.67% | 9 | 5.7 | 968 | 10,498 | 80.0% | 50.0% | |
| 37.50% | 8 | 4.7 | 1,098 | 10,264 | 40.0% | 33.3% | |
| 50.00% | 8 | 5.0 | 1,099 | 11,881 | 0.0% | 80.0% | |
| 75.00% | 8 | 5.1 | 1,219 | 11,496 | 80.0% | 66.7% | |
| 42.86% | 7 | 5.8 | 893 | 11,639 | 33.3% | 50.0% | |
| 42.86% | 7 | 5.6 | 892 | 12,676 | 100.0% | 33.3% | |
| 57.14% | 7 | 6.0 | 1,113 | 14,832 | 100.0% | 50.0% | |
| 42.86% | 7 | 6.2 | 949 | 11,214 | 50.0% | 33.3% | |
| 50.00% | 6 | 6.8 | 865 | 10,373 | 100.0% | 25.0% | |
| 83.33% | 6 | 6.2 | 712 | 10,563 | 66.7% | 100.0% | |
| 66.67% | 6 | 6.1 | 1,110 | 14,792 | 50.0% | 75.0% | |
| 80.00% | 5 | 5.4 | 983 | 9,343 | 75.0% | 100.0% | |
| 60.00% | 5 | 4.4 | 771 | 9,407 | 66.7% | 50.0% | |
| 40.00% | 5 | 1.9 | 706 | 7,557 | 33.3% | 50.0% | |
| 80.00% | 5 | 3.7 | 766 | 11,194 | 100.0% | 66.7% | |
| 40.00% | 5 | 6.6 | 1,373 | 12,653 | 0.0% | 66.7% | |
| 60.00% | 5 | 2.8 | 1,021 | 13,566 | 100.0% | 33.3% | |
| 80.00% | 5 | 1.7 | 774 | 10,818 | 100.0% | 66.7% | |
| 0.00% | 5 | 6.0 | 957 | 11,563 | 0.0% | 0.0% | |
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 Pyke - Frequently Asked Questions
How does Swain do against Pyke in League of Legends?
Swain wins the Swain vs Pyke matchup with a 53.3% win rate compared to Pyke's 46.7%, a 6.7 percentage point difference. This data is based on 120 recent ranked games in patch 26.10.
How does Swain do against Pyke in the early game?
In the early game, Swain has the advantage against Pyke with a 60.7% win rate versus 39.3%. 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 Pyke in the late game?
In the late game, Pyke takes over the Swain vs Pyke matchup with a 53.1% win rate compared to 46.9%. Pyke scales better into team fights and objective contests after 25 minutes.
Who wins the Swain vs Pyke matchup?
Swain wins the matchup against Pyke with a 53.3% win rate in League of Legends patch 26.10. The 6.7 percentage point advantage means Swain is significantly favored in this lane matchup based on 120 games analyzed.
What is the best Swain build against Pyke?
The best Swain build against Pyke includes Liandry's Torment, Zhonya's Hourglass, Rylai's Crystal Scepter with Sorcerer's Shoes. This build achieves a 70.0% 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 Pyke?
The best Swain runes against Pyke use the Domination primary tree with Precision secondary. This rune setup achieves a 50.0% win rate in the Swain vs Pyke matchup. See the full rune breakdown in the matchup comparison above.
Does Swain counter Pyke?
Yes, Swain has a favorable matchup against Pyke with a 53.3% win rate. Swain strongly counters Pyke in lane based on current patch 26.10 data.
How do I play Swain against Pyke?
When playing Swain against Pyke, 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.