Luxvs Gwen
Lux vs Gwen is a decisive matchup in LoL patch 26.10. Lux wins with a 80.0% win rate (+60.0%) over Gwen based on 10 games. Lux holds the advantage in both the early and late game. Below you'll find the best Lux build, runes, laning stats, and strategies for the Lux vs Gwen matchup.
Lux Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Lux 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.
Gwen(80.0%)Who Wins the Lux vs Gwen Matchup?
Lux vs Gwen Matchup Summary
The Lux vs Gwen matchup is a decisive matchup in League of Legends ranked play. Based on 10 recent matches analyzed, Lux wins with a 80.0% win rate compared to Gwen's 20.0%, giving Lux a 60.0 percentage point advantage. Lux dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Gwen 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 Lux leads by 1.1s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Lux 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.
Lux vs Gwen Laning Phase Breakdown
Lux is favored during the laning phase against Gwen, winning 3 out of 5 key stat categories. Lux holds advantages in farming, damage and crowd control, making them the stronger laner in this matchup.
Best Lux Build Against Gwen
Spellslinger's Shoes is the optimal boots choice against Gwen, providing the mobility and stats Lux needs most in this matchup. The top-performing core items for Lux against Gwen are Luden's Echo, Stormsurge and Zhonya's Hourglass. This combination gives Lux an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 100.0% win rate across 1 games — well above average and making it the top item path against Gwen. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Lux vs Gwen matchup.
Early Game vs Late Game
Lux60.0%Gwen40.0%Lux100.0%Gwen0.0%Lux dominates the early game (first 15 minutes) with a commanding 60.0% win rate — a 20.0 percentage point lead over Gwen. This lopsided early game means Lux can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Lux is far superior in the late game (25+ minutes), boasting a 100.0% win rate — 100.0 points above Gwen. Extended games heavily favor Lux, whose kit and scaling make them a dominant force in team fights and objective control.
Lux holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Gwen players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Lux Runes Against Gwen
Sorcery
Precision
Running Sorcery primary with Precision secondary allows Lux to press their advantage against Gwen, amplifying the strengths that make this a favorable matchup.
Lux matchup data for League of Legends patch 26.10. The table below shows Lux'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 Lux 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 |
|---|---|---|---|---|---|---|---|
| 47.53% | 972 | 2.2 | 730 | 9,978 | 51.9% | 44.6% | |
| 51.88% | 611 | 2.3 | 719 | 10,034 | 50.4% | 52.8% | |
| 47.28% | 533 | 2.0 | 725 | 9,747 | 49.1% | 46.1% | |
| 49.24% | 526 | 2.0 | 724 | 10,015 | 56.5% | 44.2% | |
| 49.09% | 497 | 3.0 | 777 | 10,703 | 48.7% | 49.4% | |
| 46.63% | 489 | 2.1 | 749 | 10,159 | 56.4% | 40.1% | |
| 46.81% | 470 | 2.1 | 718 | 9,950 | 50.5% | 44.4% | |
| 48.65% | 444 | 3.9 | 743 | 10,550 | 50.0% | 47.8% | |
| 49.22% | 386 | 2.0 | 737 | 9,832 | 53.4% | 45.7% | |
| 50.57% | 350 | 2.0 | 680 | 10,174 | 51.1% | 50.2% | |
| 49.85% | 337 | 2.0 | 736 | 9,813 | 53.1% | 47.9% | |
| 51.36% | 331 | 6.0 | 926 | 11,603 | 53.6% | 49.7% | |
| 53.19% | 329 | 3.8 | 782 | 11,007 | 49.3% | 55.9% | |
| 43.34% | 323 | 2.0 | 731 | 9,725 | 50.0% | 39.1% | |
| 49.22% | 319 | 2.5 | 724 | 10,361 | 46.3% | 51.0% | |
| 47.18% | 301 | 2.1 | 727 | 9,880 | 50.4% | 44.9% | |
| 45.61% | 296 | 2.8 | 806 | 10,112 | 49.2% | 42.9% | |
| 45.32% | 278 | 2.0 | 681 | 9,475 | 53.0% | 39.9% | |
| 54.21% | 273 | 6.3 | 893 | 12,148 | 58.3% | 51.5% | |
| 50.37% | 272 | 2.3 | 730 | 10,729 | 52.8% | 49.2% | |
| 50.75% | 268 | 2.5 | 725 | 10,654 | 50.9% | 50.6% | |
| 56.69% | 254 | 5.3 | 906 | 11,475 | 64.5% | 52.2% | |
| 57.68% | 241 | 2.1 | 585 | 9,332 | 63.8% | 52.0% | |
| 48.12% | 239 | 1.9 | 840 | 10,080 | 51.0% | 46.1% | |
| 49.37% | 237 | 2.0 | 676 | 9,462 | 47.4% | 50.7% | |
| 50.00% | 222 | 2.1 | 749 | 9,836 | 63.6% | 41.0% | |
| 45.21% | 219 | 2.0 | 666 | 9,927 | 56.5% | 38.1% | |
| 45.54% | 213 | 6.0 | 833 | 11,223 | 43.0% | 47.2% | |
| 49.05% | 210 | 5.7 | 815 | 11,341 | 47.4% | 50.0% | |
| 50.00% | 192 | 2.1 | 744 | 10,047 | 56.1% | 45.5% | |
| 50.26% | 191 | 6.0 | 953 | 11,614 | 56.9% | 46.2% | |
| 46.77% | 186 | 6.7 | 869 | 11,997 | 41.8% | 49.6% | |
| 48.88% | 178 | 6.0 | 844 | 11,446 | 59.1% | 42.1% | |
| 54.91% | 173 | 6.0 | 952 | 11,385 | 64.5% | 47.4% | |
| 54.78% | 157 | 4.3 | 788 | 11,505 | 64.6% | 47.8% | |
| 48.23% | 141 | 6.2 | 843 | 11,639 | 38.5% | 53.9% | |
| 57.97% | 138 | 1.9 | 695 | 9,491 | 63.8% | 52.2% | |
| 47.45% | 137 | 2.0 | 734 | 9,820 | 53.5% | 43.0% | |
| 52.94% | 136 | 5.4 | 852 | 11,943 | 52.3% | 53.3% | |
| 46.32% | 136 | 4.8 | 773 | 10,326 | 48.4% | 44.6% | |
| 50.00% | 130 | 1.9 | 688 | 9,980 | 55.4% | 46.0% | |
| 51.59% | 126 | 3.5 | 841 | 11,074 | 51.1% | 51.9% | |
| 46.40% | 125 | 6.3 | 925 | 12,587 | 52.0% | 42.7% | |
| 62.40% | 125 | 5.4 | 929 | 11,558 | 59.6% | 64.4% | |
| 52.85% | 123 | 2.6 | 728 | 9,731 | 54.2% | 51.6% | |
| 45.45% | 121 | 2.3 | 739 | 10,395 | 46.1% | 45.1% | |
| 55.17% | 116 | 2.0 | 754 | 10,192 | 60.5% | 52.0% | |
| 49.12% | 114 | 6.0 | 793 | 10,645 | 50.0% | 48.3% | |
| 42.98% | 114 | 6.1 | 863 | 11,774 | 50.0% | 38.2% | |
| 54.39% | 114 | 6.0 | 864 | 10,823 | 59.6% | 50.8% | |
| 52.73% | 110 | 5.1 | 796 | 11,414 | 54.8% | 51.5% | |
| 51.40% | 107 | 5.8 | 848 | 11,273 | 47.4% | 53.6% | |
| 48.57% | 105 | 5.3 | 853 | 12,009 | 52.9% | 46.5% | |
| 51.92% | 104 | 4.4 | 861 | 11,239 | 47.6% | 54.8% | |
| 50.96% | 104 | 6.1 | 917 | 11,325 | 48.9% | 52.6% | |
| 46.00% | 100 | 1.9 | 652 | 9,367 | 54.5% | 39.3% | |
| 49.00% | 100 | 6.6 | 984 | 11,668 | 54.0% | 46.0% | |
| 52.04% | 98 | 5.6 | 828 | 11,344 | 55.8% | 49.1% | |
| 48.89% | 90 | 6.2 | 965 | 11,632 | 46.3% | 51.0% | |
| 60.47% | 86 | 6.3 | 1,004 | 13,984 | 78.6% | 51.7% | |
| 60.00% | 85 | 5.8 | 839 | 11,419 | 56.4% | 63.0% | |
| 51.22% | 82 | 3.5 | 792 | 11,257 | 71.4% | 40.7% | |
| 56.25% | 80 | 4.8 | 782 | 10,828 | 59.0% | 53.7% | |
| 51.90% | 79 | 2.1 | 766 | 10,673 | 57.7% | 49.1% | |
| 47.44% | 78 | 2.0 | 692 | 9,981 | 51.6% | 44.7% | |
| 48.72% | 78 | 5.7 | 977 | 11,700 | 62.5% | 39.1% | |
| 51.35% | 74 | 6.4 | 928 | 11,975 | 60.0% | 45.5% | |
| 54.79% | 73 | 6.2 | 893 | 11,686 | 50.0% | 58.1% | |
| 48.61% | 72 | 6.0 | 894 | 11,013 | 42.4% | 53.9% | |
| 46.48% | 71 | 5.2 | 931 | 11,415 | 45.8% | 46.8% | |
| 47.89% | 71 | 6.2 | 897 | 11,833 | 43.3% | 51.2% | |
| 47.06% | 68 | 5.3 | 857 | 11,681 | 45.0% | 47.9% | |
| 44.12% | 68 | 2.1 | 726 | 10,391 | 43.5% | 44.4% | |
| 46.88% | 64 | 6.0 | 833 | 12,255 | 48.0% | 46.1% | |
| 53.13% | 64 | 5.9 | 911 | 12,809 | 52.0% | 53.9% | |
| 45.76% | 59 | 6.0 | 908 | 12,781 | 72.0% | 26.5% | |
| 60.34% | 58 | 2.0 | 724 | 10,356 | 70.0% | 55.3% | |
| 53.70% | 54 | 2.1 | 797 | 9,879 | 62.5% | 46.7% | |
| 48.00% | 50 | 6.7 | 920 | 11,243 | 44.0% | 52.0% | |
| 57.45% | 47 | 6.4 | 908 | 12,169 | 42.9% | 69.2% | |
| 51.06% | 47 | 4.9 | 780 | 11,349 | 55.0% | 48.1% | |
| 45.45% | 44 | 6.1 | 951 | 13,223 | 42.9% | 46.7% | |
| 47.62% | 42 | 4.6 | 826 | 9,941 | 31.6% | 60.9% | |
| 61.54% | 39 | 5.9 | 879 | 11,480 | 62.5% | 60.9% | |
| 51.28% | 39 | 5.9 | 905 | 11,470 | 50.0% | 52.4% | |
| 50.00% | 38 | 4.6 | 937 | 10,918 | 63.2% | 36.8% | |
| 38.89% | 36 | 4.1 | 996 | 11,304 | 50.0% | 31.8% | |
| 50.00% | 36 | 5.8 | 859 | 11,509 | 50.0% | 50.0% | |
| 61.11% | 36 | 6.1 | 935 | 12,149 | 72.7% | 56.0% | |
| 46.88% | 32 | 6.3 | 845 | 13,464 | 61.5% | 36.8% | |
| 45.16% | 31 | 6.3 | 898 | 12,276 | 42.9% | 47.1% | |
| 60.00% | 30 | 6.2 | 873 | 11,446 | 55.6% | 61.9% | |
| 50.00% | 30 | 6.6 | 903 | 12,707 | 46.1% | 52.9% | |
| 51.72% | 29 | 3.1 | 758 | 10,099 | 54.5% | 50.0% | |
| 34.48% | 29 | 2.0 | 781 | 10,016 | 41.7% | 29.4% | |
| 48.15% | 27 | 2.5 | 782 | 9,365 | 69.2% | 28.6% | |
| 53.85% | 26 | 6.2 | 899 | 10,689 | 69.2% | 38.5% | |
| 53.85% | 26 | 6.4 | 1,048 | 14,428 | 66.7% | 47.1% | |
| 44.00% | 25 | 4.5 | 840 | 11,390 | 87.5% | 23.5% | |
| 44.00% | 25 | 2.2 | 731 | 8,645 | 35.7% | 54.5% | |
| 45.83% | 24 | 5.0 | 849 | 13,303 | 77.8% | 26.7% | |
| 62.50% | 24 | 5.9 | 906 | 11,725 | 54.5% | 69.2% | |
| 45.83% | 24 | 2.7 | 673 | 9,690 | 60.0% | 35.7% | |
| 56.52% | 23 | 6.4 | 738 | 10,753 | 70.0% | 46.1% | |
| 43.48% | 23 | 2.2 | 744 | 10,759 | 66.7% | 28.6% | |
| 47.83% | 23 | 5.0 | 820 | 10,153 | 55.6% | 42.9% | |
| 50.00% | 20 | 7.0 | 948 | 12,985 | 55.6% | 45.5% | |
| 55.00% | 20 | 6.4 | 906 | 10,994 | 60.0% | 50.0% | |
| 63.16% | 19 | 5.2 | 899 | 12,705 | 66.7% | 60.0% | |
| 50.00% | 18 | 5.9 | 1,185 | 13,060 | 60.0% | 46.1% | |
| 66.67% | 18 | 4.3 | 923 | 12,208 | 71.4% | 63.6% | |
| 44.44% | 18 | 5.5 | 919 | 13,733 | 40.0% | 46.1% | |
| 64.71% | 17 | 6.5 | 910 | 13,131 | 62.5% | 66.7% | |
| 70.59% | 17 | 5.5 | 805 | 10,172 | 85.7% | 60.0% | |
| 56.25% | 16 | 6.7 | 920 | 12,983 | 40.0% | 63.6% | |
| 56.25% | 16 | 3.5 | 993 | 11,325 | 50.0% | 60.0% | |
| 50.00% | 16 | 7.0 | 859 | 11,797 | 55.6% | 42.9% | |
| 56.25% | 16 | 3.9 | 721 | 10,493 | 66.7% | 50.0% | |
| 62.50% | 16 | 2.6 | 694 | 9,170 | 63.6% | 60.0% | |
| 60.00% | 15 | 2.3 | 783 | 9,545 | 62.5% | 57.1% | |
| 53.33% | 15 | 5.9 | 849 | 9,923 | 37.5% | 71.4% | |
| 57.14% | 14 | 4.3 | 725 | 10,353 | 80.0% | 44.4% | |
| 50.00% | 14 | 5.4 | 855 | 11,294 | 60.0% | 44.4% | |
| 53.85% | 13 | 5.1 | 828 | 9,649 | 71.4% | 33.3% | |
| 38.46% | 13 | 6.0 | 1,015 | 11,700 | 75.0% | 22.2% | |
| 61.54% | 13 | 4.7 | 788 | 10,962 | 60.0% | 62.5% | |
| 25.00% | 12 | 4.3 | 912 | 10,836 | 20.0% | 28.6% | |
| 25.00% | 12 | 3.5 | 704 | 10,854 | 0.0% | 42.9% | |
| 36.36% | 11 | 3.3 | 1,021 | 11,503 | 0.0% | 50.0% | |
| 27.27% | 11 | 3.1 | 785 | 8,637 | 42.9% | 0.0% | |
| 72.73% | 11 | 4.6 | 817 | 11,809 | 75.0% | 71.4% | |
| 54.55% | 11 | 3.4 | 853 | 9,457 | 60.0% | 50.0% | |
| 45.45% | 11 | 6.5 | 998 | 12,142 | 66.7% | 20.0% | |
| 40.00% | 10 | 3.4 | 784 | 10,710 | 60.0% | 20.0% | |
| 50.00% | 10 | 4.4 | 720 | 10,096 | 75.0% | 33.3% | |
| 80.00% | 10 | 6.6 | 858 | 12,394 | 60.0% | 100.0% | |
| 40.00% | 10 | 5.1 | 856 | 7,340 | 50.0% | 25.0% | |
| 50.00% | 10 | 6.7 | 815 | 14,120 | 0.0% | 55.6% | |
| 66.67% | 9 | 3.4 | 652 | 11,698 | 66.7% | 66.7% | |
| 33.33% | 9 | 6.3 | 754 | 9,466 | 50.0% | 20.0% | |
| 66.67% | 9 | 2.3 | 710 | 9,282 | 60.0% | 75.0% | |
| 66.67% | 9 | 4.7 | 983 | 14,125 | 100.0% | 57.1% | |
| 44.44% | 9 | 3.4 | 971 | 10,346 | 66.7% | 33.3% | |
| 37.50% | 8 | 7.0 | 699 | 8,525 | 60.0% | 0.0% | |
| 57.14% | 7 | 5.5 | 583 | 7,920 | 50.0% | 100.0% | |
| 42.86% | 7 | 1.9 | 690 | 10,483 | 50.0% | 40.0% | |
| 57.14% | 7 | 2.7 | 797 | 11,636 | 75.0% | 33.3% | |
| 33.33% | 6 | 3.1 | 680 | 9,640 | 66.7% | 0.0% | |
| 16.67% | 6 | 5.6 | 788 | 10,887 | 0.0% | 33.3% | |
| 20.00% | 5 | 3.7 | 894 | 12,403 | 50.0% | 0.0% | |
| 80.00% | 5 | 5.0 | 594 | 9,688 | 66.7% | 100.0% | |
| 80.00% | 5 | 5.0 | 981 | 10,787 | 66.7% | 100.0% | |
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Lux vs Gwen - Frequently Asked Questions
How does Lux do against Gwen in League of Legends?
Lux wins the Lux vs Gwen matchup with a 80.0% win rate compared to Gwen's 20.0%, a 60.0 percentage point difference. This data is based on 10 recent ranked games in patch 26.10.
How does Lux do against Gwen in the early game?
In the early game, Lux has the advantage against Gwen with a 60.0% win rate versus 40.0%. Lux players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Lux do against Gwen in the late game?
In the late game, Lux takes over the Lux vs Gwen matchup with a 100.0% win rate compared to 0.0%. Lux scales better into team fights and objective contests after 25 minutes.
Who wins the Lux vs Gwen matchup?
Lux wins the matchup against Gwen with a 80.0% win rate in League of Legends patch 26.10. The 60.0 percentage point advantage means Lux is significantly favored in this lane matchup based on 10 games analyzed.
What is the best Lux build against Gwen?
The best Lux build against Gwen includes Luden's Echo, Stormsurge, Zhonya's Hourglass with Spellslinger'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 Lux runes against Gwen?
The best Lux runes against Gwen use the Sorcery primary tree with Precision secondary. This rune setup achieves a 100.0% win rate in the Lux vs Gwen matchup. See the full rune breakdown in the matchup comparison above.
Does Lux counter Gwen?
Yes, Lux has a favorable matchup against Gwen with a 80.0% win rate. Lux strongly counters Gwen in lane based on current patch 26.10 data.
How do I play Lux against Gwen?
When playing Lux 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.