Lee Sinvs Gwen
Lee Sin vs Gwen is a decisive matchup in LoL patch 26.11. Lee Sin wins with a 55.6% win rate (+11.1%) over Gwen based on 18 games. Lee Sin wins the early laning phase while Gwen scales better into the late game. Below you'll find the best Lee Sin build, runes, laning stats, and strategies for the Lee Sin vs Gwen matchup.
Lee Sin Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Lee Sin 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 Lee Sin vs Gwen Matchup?
Lee Sin vs Gwen Matchup Summary
The Lee Sin vs Gwen matchup is a decisive matchup in League of Legends ranked play. Based on 18 recent matches analyzed, Lee Sin wins with a 55.6% win rate compared to Gwen's 44.4%, giving Lee Sin a 11.1 percentage point advantage. Game phase dynamics play a critical role here: Lee Sin controls the early laning stage, but Gwen outscales as the game goes longer. The matchup shifts dramatically depending on game length — Lee Sin needs to press advantages before Gwen reaches their power spikes, while Gwen should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Lee Sin leads by 0.5s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Lee Sin players can confidently pick into Gwen and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Gwen away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Lee Sin vs Gwen Laning Phase Breakdown
Lee Sin is favored during the laning phase against Gwen, winning 3 out of 5 key stat categories. Lee Sin holds advantages in gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Lee Sin Build Against Gwen
Mercury's Treads is the optimal boots choice against Gwen, providing the mobility and stats Lee Sin needs most in this matchup. The top-performing core items for Lee Sin against Gwen are Eclipse, Sundered Sky and Maw of Malmortius. This combination gives Lee Sin an effective balance of damage, survivability, and utility for the matchup. This build has a 33.3% win rate across 3 games. While the overall matchup may be difficult, this item path gives Lee Sin the best chance to compete against Gwen. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Lee Sin vs Gwen matchup.
Early Game vs Late Game
Lee Sin85.7%
Gwen14.3%Lee Sin36.4%Gwen63.6%Lee Sin dominates the early game (first 15 minutes) with a commanding 85.7% win rate — a 71.4 percentage point lead over Gwen. This lopsided early game means Lee Sin can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Gwen is far superior in the late game (25+ minutes), boasting a 63.6% win rate — 27.3 points above Lee Sin. Extended games heavily favor Gwen, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Lee Sin must aggressively press their early advantage and close out the game before Gwen reaches their scaling breakpoints. If Gwen 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 Lee Sin Runes Against Gwen
Precision
Inspiration
Running Precision primary with Inspiration secondary allows Lee Sin to press their advantage against Gwen, amplifying the strengths that make this a favorable matchup.
Lee Sin matchup data for League of Legends patch 26.11. The table below shows Lee Sin'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 Lee Sin 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 |
|---|---|---|---|---|---|---|---|
| 52.22% | 316 | 0.8 | 658 | 12,325 | 48.3% | 55.6% | |
| 48.03% | 304 | 0.8 | 651 | 12,572 | 52.6% | 44.4% | |
| 45.62% | 274 | 0.8 | 691 | 12,756 | 43.5% | 47.2% | |
| 46.35% | 274 | 0.8 | 654 | 12,566 | 47.9% | 45.2% | |
| 50.00% | 252 | 0.8 | 614 | 12,428 | 49.1% | 50.7% | |
| 57.02% | 235 | 0.9 | 652 | 11,848 | 57.4% | 56.7% | |
| 41.23% | 228 | 0.8 | 672 | 11,759 | 38.7% | 43.6% | |
| 42.86% | 217 | 0.8 | 648 | 12,163 | 36.6% | 47.6% | |
| 53.49% | 215 | 0.8 | 634 | 11,757 | 55.5% | 51.4% | |
| 53.51% | 185 | 0.8 | 648 | 12,905 | 57.5% | 50.9% | |
| 47.71% | 153 | 1.0 | 740 | 12,666 | 54.8% | 41.3% | |
| 55.94% | 143 | 0.8 | 673 | 12,743 | 60.7% | 52.4% | |
| 41.91% | 136 | 0.9 | 646 | 11,680 | 39.0% | 44.2% | |
| 48.89% | 135 | 0.8 | 653 | 12,206 | 48.5% | 49.3% | |
| 53.03% | 132 | 1.0 | 719 | 13,180 | 59.6% | 48.0% | |
| 63.08% | 130 | 0.8 | 745 | 12,684 | 60.7% | 65.2% | |
| 42.74% | 124 | 0.8 | 645 | 12,092 | 45.5% | 40.6% | |
| 41.53% | 118 | 0.9 | 652 | 12,561 | 36.2% | 46.7% | |
| 50.85% | 118 | 0.8 | 691 | 12,548 | 60.0% | 44.1% | |
| 50.91% | 110 | 1.0 | 735 | 12,714 | 56.6% | 45.6% | |
| 50.00% | 108 | 0.8 | 668 | 12,203 | 46.0% | 53.5% | |
| 53.40% | 103 | 0.8 | 658 | 12,477 | 58.7% | 49.1% | |
| 43.82% | 89 | 0.8 | 642 | 11,761 | 50.0% | 39.6% | |
| 47.73% | 88 | 0.9 | 637 | 12,449 | 48.6% | 47.2% | |
| 49.43% | 87 | 0.7 | 631 | 12,244 | 54.8% | 44.4% | |
| 48.81% | 84 | 0.9 | 664 | 12,461 | 45.0% | 52.3% | |
| 53.09% | 81 | 0.8 | 610 | 12,097 | 53.2% | 52.9% | |
| 46.25% | 80 | 0.8 | 692 | 12,499 | 52.9% | 41.3% | |
| 35.00% | 80 | 1.1 | 616 | 10,951 | 35.1% | 34.9% | |
| 43.84% | 73 | 0.8 | 643 | 12,535 | 42.4% | 45.0% | |
| 44.29% | 70 | 0.8 | 718 | 13,123 | 51.9% | 39.5% | |
| 55.88% | 68 | 0.7 | 664 | 12,588 | 45.8% | 61.4% | |
| 40.91% | 66 | 0.8 | 671 | 12,558 | 44.8% | 37.8% | |
| 50.00% | 64 | 0.8 | 699 | 12,186 | 45.5% | 54.8% | |
| 56.36% | 55 | 1.2 | 686 | 11,897 | 51.7% | 61.5% | |
| 54.90% | 51 | 1.0 | 666 | 13,041 | 68.2% | 44.8% | |
| 58.00% | 50 | 1.4 | 753 | 12,667 | 60.9% | 55.6% | |
| 56.25% | 48 | 0.8 | 697 | 11,909 | 50.0% | 65.0% | |
| 58.33% | 48 | 1.6 | 741 | 13,030 | 47.6% | 66.7% | |
| 47.92% | 48 | 0.6 | 571 | 11,214 | 53.9% | 40.9% | |
| 51.06% | 47 | 0.9 | 717 | 13,480 | 64.3% | 45.5% | |
| 40.00% | 45 | 0.7 | 691 | 11,375 | 34.8% | 45.5% | |
| 45.45% | 44 | 0.9 | 560 | 11,948 | 40.9% | 50.0% | |
| 41.46% | 41 | 1.8 | 559 | 11,963 | 50.0% | 34.8% | |
| 56.41% | 39 | 0.8 | 659 | 13,095 | 63.6% | 53.6% | |
| 59.46% | 37 | 1.0 | 740 | 13,798 | 53.9% | 62.5% | |
| 54.05% | 37 | 2.2 | 580 | 11,723 | 60.0% | 50.0% | |
| 48.28% | 29 | 1.2 | 643 | 11,406 | 42.9% | 53.3% | |
| 55.17% | 29 | 2.1 | 770 | 13,051 | 58.3% | 52.9% | |
| 65.38% | 26 | 1.8 | 712 | 11,982 | 69.2% | 61.5% | |
| 46.15% | 26 | 1.5 | 741 | 12,855 | 50.0% | 42.9% | |
| 65.38% | 26 | 1.4 | 674 | 11,459 | 57.1% | 75.0% | |
| 40.00% | 25 | 1.7 | 777 | 13,601 | 62.5% | 29.4% | |
| 54.17% | 24 | 1.6 | 709 | 13,018 | 70.0% | 42.9% | |
| 41.67% | 24 | 1.1 | 707 | 14,348 | 33.3% | 44.4% | |
| 43.48% | 23 | 1.1 | 625 | 12,427 | 57.1% | 37.5% | |
| 59.09% | 22 | 1.2 | 603 | 11,298 | 75.0% | 40.0% | |
| 42.86% | 21 | 1.7 | 630 | 12,407 | 38.5% | 50.0% | |
| 42.86% | 21 | 1.1 | 689 | 13,754 | 42.9% | 42.9% | |
| 52.38% | 21 | 1.0 | 690 | 13,766 | 50.0% | 53.9% | |
| 40.00% | 20 | 2.9 | 733 | 11,643 | 45.5% | 33.3% | |
| 44.44% | 18 | 3.3 | 609 | 10,147 | 46.1% | 40.0% | |
| 22.22% | 18 | 2.4 | 571 | 12,334 | 42.9% | 9.1% | |
| 33.33% | 18 | 1.9 | 737 | 13,429 | 25.0% | 35.7% | |
| 55.56% | 18 | 1.9 | 876 | 12,696 | 50.0% | 60.0% | |
| 55.56% | 18 | 1.4 | 697 | 12,791 | 85.7% | 36.4% | |
| 47.06% | 17 | 1.9 | 697 | 11,743 | 30.0% | 71.4% | |
| 50.00% | 16 | 2.5 | 878 | 15,015 | 66.7% | 46.1% | |
| 50.00% | 16 | 5.2 | 880 | 13,562 | 33.3% | 60.0% | |
| 42.86% | 14 | 2.3 | 571 | 12,191 | 20.0% | 55.6% | |
| 61.54% | 13 | 1.3 | 821 | 13,051 | 75.0% | 55.6% | |
| 46.15% | 13 | 5.0 | 631 | 9,050 | 50.0% | 40.0% | |
| 33.33% | 12 | 1.2 | 506 | 9,065 | 20.0% | 42.9% | |
| 66.67% | 12 | 1.9 | 780 | 11,786 | 100.0% | 42.9% | |
| 63.64% | 11 | 1.1 | 896 | 13,502 | 66.7% | 60.0% | |
| 54.55% | 11 | 0.9 | 662 | 12,747 | 66.7% | 50.0% | |
| 27.27% | 11 | 4.5 | 664 | 10,575 | 25.0% | 28.6% | |
| 30.00% | 10 | 3.2 | 734 | 12,249 | 50.0% | 16.7% | |
| 50.00% | 10 | 5.3 | 665 | 10,754 | 80.0% | 20.0% | |
| 33.33% | 9 | 3.1 | 736 | 12,808 | 0.0% | 50.0% | |
| 55.56% | 9 | 4.3 | 906 | 13,898 | 0.0% | 62.5% | |
| 55.56% | 9 | 1.7 | 668 | 12,706 | 100.0% | 50.0% | |
| 55.56% | 9 | 1.7 | 630 | 9,687 | 25.0% | 80.0% | |
| 66.67% | 9 | 4.8 | 762 | 9,756 | 66.7% | 66.7% | |
| 37.50% | 8 | 1.5 | 533 | 11,055 | 50.0% | 25.0% | |
| 37.50% | 8 | 1.2 | 700 | 13,991 | 100.0% | 28.6% | |
| 37.50% | 8 | 4.0 | 804 | 11,281 | 60.0% | 0.0% | |
| 42.86% | 7 | 2.9 | 567 | 10,549 | 25.0% | 66.7% | |
| 28.57% | 7 | 1.7 | 593 | 9,520 | 50.0% | 0.0% | |
| 57.14% | 7 | 5.5 | 814 | 13,852 | 50.0% | 66.7% | |
| 42.86% | 7 | 4.5 | 634 | 11,944 | 66.7% | 25.0% | |
| 57.14% | 7 | 3.0 | 814 | 12,683 | 66.7% | 50.0% | |
| 57.14% | 7 | 1.4 | 465 | 7,840 | 60.0% | 50.0% | |
| 33.33% | 6 | 2.4 | 640 | 13,144 | 0.0% | 66.7% | |
| 66.67% | 6 | 1.5 | 518 | 12,108 | 0.0% | 100.0% | |
| 50.00% | 6 | 1.8 | 838 | 11,808 | 66.7% | 33.3% | |
| 66.67% | 6 | 4.6 | 396 | 8,863 | 50.0% | 100.0% | |
| 66.67% | 6 | 2.4 | 683 | 11,319 | 50.0% | 75.0% | |
| 33.33% | 6 | 5.3 | 843 | 12,275 | 50.0% | 25.0% | |
| 16.67% | 6 | 5.2 | 756 | 12,300 | 33.3% | 0.0% | |
| 83.33% | 6 | 6.8 | 908 | 11,780 | 75.0% | 100.0% | |
| 60.00% | 5 | 3.3 | 600 | 9,853 | 100.0% | 33.3% | |
| 20.00% | 5 | 3.6 | 640 | 10,516 | 0.0% | 50.0% | |
| 20.00% | 5 | 1.4 | 949 | 10,028 | 0.0% | 33.3% | |
| 40.00% | 5 | 4.3 | 856 | 16,876 | 100.0% | 0.0% | |
| 80.00% | 5 | 4.9 | 815 | 10,222 | 50.0% | 100.0% | |
| 40.00% | 5 | 5.1 | 708 | 10,195 | 33.3% | 50.0% | |
| 20.00% | 5 | 1.8 | 626 | 10,350 | 25.0% | 0.0% | |
| 80.00% | 5 | 1.3 | 687 | 8,028 | 100.0% | 0.0% | |
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Lee Sin vs Gwen - Frequently Asked Questions
How does Lee Sin do against Gwen in League of Legends?
Lee Sin wins the Lee Sin vs Gwen matchup with a 55.6% win rate compared to Gwen's 44.4%, a 11.1 percentage point difference. This data is based on 18 recent ranked games in patch 26.11.
How does Lee Sin do against Gwen in the early game?
In the early game, Lee Sin has the advantage against Gwen with a 85.7% win rate versus 14.3%. Lee Sin players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Lee Sin do against Gwen in the late game?
In the late game, Gwen takes over the Lee Sin vs Gwen matchup with a 63.6% win rate compared to 36.4%. Gwen scales better into team fights and objective contests after 25 minutes.
Who wins the Lee Sin vs Gwen matchup?
Lee Sin wins the matchup against Gwen with a 55.6% win rate in League of Legends patch 26.11. The 11.1 percentage point advantage means Lee Sin is significantly favored in this lane matchup based on 18 games analyzed.
What is the best Lee Sin build against Gwen?
The best Lee Sin build against Gwen includes Eclipse, Sundered Sky, Maw of Malmortius with Mercury's Treads. This build achieves a 33.3% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Lee Sin runes against Gwen?
The best Lee Sin runes against Gwen use the Precision primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Lee Sin vs Gwen matchup. See the full rune breakdown in the matchup comparison above.
Does Lee Sin counter Gwen?
Yes, Lee Sin has a favorable matchup against Gwen with a 55.6% win rate. Lee Sin strongly counters Gwen in lane based on current patch 26.11 data.
How do I play Lee Sin against Gwen?
When playing Lee Sin against Gwen, 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.