
Morganavs Lux
Morgana vs Lux is a very close matchup in LoL patch 26.10. Morgana wins with a 50.6% win rate (+1.1%) over Lux based on 629 games. Lux wins the early laning phase while Morgana scales better into the late game. Below you'll find the best Morgana build, runes, laning stats, and strategies for the Morgana vs Lux matchup.
Morgana Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Morgana 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 Morgana vs Lux Matchup?

Morgana vs Lux Matchup Summary
The Morgana vs Lux matchup is a very close matchup in League of Legends ranked play. Based on 629 recent matches analyzed, Morgana wins with a 50.6% win rate compared to Lux's 49.4%, giving Morgana a 1.1 percentage point advantage. Game phase dynamics play a critical role here: Lux controls the early laning stage, but Morgana outscales as the game goes longer. The matchup shifts dramatically depending on game length — Lux needs to press advantages before Morgana reaches their power spikes, while Morgana should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in sustain, where Morgana leads by 153 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Morgana has a statistical edge, but the margin is close enough that respecting Lux's strengths is important. Trade when cooldowns are favorable, track the enemy jungler, and build toward your strongest item spikes to convert the slight advantage into a decisive lead. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Morgana vs Lux Laning Phase Breakdown
Lux is favored during the laning phase against Morgana, winning 3 out of 5 key stat categories. Lux holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Morgana Build Against Lux
Ionian Boots of Lucidity is the optimal boots choice against Lux, providing the mobility and stats Morgana needs most in this matchup. The top-performing core items for Morgana against Lux are Liandry's Torment, Imperial Mandate and Morellonomicon. This combination gives Morgana an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 100.0% win rate across 4 games — well above average and making it the top item path against Lux. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Morgana vs Lux matchup.
Early Game vs Late Game
Lux dominates the early game (first 15 minutes) with a commanding 55.1% win rate — a 10.1 percentage point lead over Morgana. This lopsided early game means Lux can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Morgana is far superior in the late game (25+ minutes), boasting a 54.7% win rate — 9.4 points above Lux. Extended games heavily favor Morgana, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Lux must aggressively press their early advantage and close out the game before Morgana reaches their scaling breakpoints. If Morgana 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 Morgana Runes Against Lux
The Sorcery primary with Domination secondary combination helps Morgana maximize their potential in this closely contested matchup, providing the right mix of offensive and defensive tools to edge out Lux.
Morgana matchup data for League of Legends patch 26.10. The table below shows Morgana'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 Morgana 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 |
|---|---|---|---|---|---|---|---|
| 50.56% | 629 | 1.9 | 572 | 9,582 | 44.9% | 54.7% | |
| 49.55% | 553 | 1.7 | 584 | 9,377 | 51.3% | 48.3% | |
| 51.04% | 386 | 1.7 | 627 | 9,901 | 57.0% | 46.9% | |
| 52.89% | 380 | 1.6 | 622 | 9,719 | 57.9% | 49.6% | |
| 51.47% | 375 | 1.6 | 627 | 9,532 | 52.7% | 50.5% | |
| 48.42% | 349 | 1.6 | 583 | 9,427 | 48.0% | 48.8% | |
| 42.65% | 347 | 1.7 | 632 | 9,829 | 43.8% | 41.9% | |
| 49.48% | 287 | 1.9 | 617 | 10,019 | 50.0% | 49.2% | |
| 50.70% | 215 | 1.6 | 647 | 10,034 | 51.8% | 50.0% | |
| 54.74% | 190 | 1.6 | 614 | 10,016 | 56.5% | 53.7% | |
| 50.54% | 186 | 1.8 | 581 | 9,612 | 50.0% | 50.9% | |
| 43.01% | 186 | 1.7 | 607 | 9,219 | 41.9% | 44.0% | |
| 53.76% | 186 | 1.9 | 686 | 9,886 | 53.3% | 54.1% | |
| 48.35% | 182 | 1.7 | 545 | 8,913 | 45.0% | 51.0% | |
| 52.33% | 172 | 1.6 | 601 | 8,951 | 54.6% | 50.0% | |
| 58.02% | 162 | 1.7 | 508 | 9,134 | 57.7% | 58.3% | |
| 50.00% | 162 | 2.5 | 631 | 9,586 | 45.3% | 53.1% | |
| 47.44% | 156 | 2.0 | 627 | 9,584 | 46.0% | 48.4% | |
| 50.65% | 154 | 1.8 | 620 | 9,940 | 49.1% | 51.5% | |
| 53.64% | 151 | 1.8 | 741 | 9,824 | 56.7% | 51.2% | |
| 54.05% | 148 | 2.6 | 642 | 9,714 | 51.6% | 55.8% | |
| 45.07% | 142 | 1.6 | 587 | 9,398 | 51.7% | 40.2% | |
| 55.40% | 139 | 1.6 | 632 | 9,750 | 52.6% | 57.3% | |
| 50.38% | 133 | 1.7 | 568 | 9,160 | 45.0% | 54.8% | |
| 45.00% | 120 | 1.7 | 634 | 10,240 | 51.4% | 42.4% | |
| 49.51% | 103 | 1.7 | 603 | 10,161 | 55.3% | 46.1% | |
| 52.94% | 85 | 1.7 | 649 | 9,456 | 54.0% | 52.1% | |
| 53.09% | 81 | 1.7 | 556 | 10,236 | 54.8% | 52.0% | |
| 55.56% | 81 | 5.7 | 735 | 11,196 | 61.3% | 52.0% | |
| 55.13% | 78 | 2.1 | 658 | 10,162 | 45.7% | 62.8% | |
| 47.37% | 76 | 1.7 | 591 | 9,761 | 54.8% | 42.2% | |
| 44.74% | 76 | 2.6 | 682 | 10,991 | 42.3% | 46.0% | |
| 47.37% | 76 | 1.6 | 656 | 9,606 | 55.9% | 40.5% | |
| 47.37% | 76 | 5.5 | 768 | 10,923 | 56.7% | 41.3% | |
| 44.93% | 69 | 4.1 | 717 | 10,664 | 37.5% | 48.9% | |
| 47.76% | 67 | 1.7 | 601 | 9,098 | 57.7% | 41.5% | |
| 52.63% | 57 | 3.9 | 665 | 10,756 | 62.5% | 45.5% | |
| 61.22% | 49 | 3.1 | 715 | 10,675 | 44.4% | 71.0% | |
| 58.33% | 48 | 1.7 | 616 | 10,735 | 47.6% | 66.7% | |
| 48.94% | 47 | 5.5 | 762 | 10,492 | 65.2% | 33.3% | |
| 44.68% | 47 | 1.9 | 629 | 9,586 | 40.9% | 48.0% | |
| 47.83% | 46 | 1.7 | 657 | 10,076 | 57.1% | 40.0% | |
| 40.00% | 45 | 2.0 | 608 | 9,825 | 36.8% | 42.3% | |
| 42.22% | 45 | 2.3 | 679 | 11,039 | 41.2% | 42.9% | |
| 55.81% | 43 | 1.9 | 667 | 9,790 | 64.7% | 50.0% | |
| 46.34% | 41 | 5.0 | 807 | 10,279 | 42.9% | 48.1% | |
| 55.00% | 40 | 5.6 | 858 | 11,633 | 57.1% | 53.9% | |
| 69.23% | 39 | 3.9 | 729 | 9,654 | 72.7% | 64.7% | |
| 51.28% | 39 | 3.3 | 616 | 9,978 | 52.6% | 50.0% | |
| 45.95% | 37 | 3.7 | 682 | 10,689 | 44.4% | 47.4% | |
| 48.65% | 37 | 4.5 | 691 | 11,224 | 50.0% | 48.0% | |
| 41.67% | 36 | 1.6 | 579 | 9,675 | 53.9% | 34.8% | |
| 51.43% | 35 | 5.6 | 888 | 11,848 | 58.3% | 47.8% | |
| 38.71% | 31 | 1.5 | 621 | 10,960 | 60.0% | 28.6% | |
| 61.29% | 31 | 3.5 | 767 | 12,014 | 53.9% | 66.7% | |
| 56.67% | 30 | 3.7 | 779 | 10,925 | 58.3% | 55.6% | |
| 44.83% | 29 | 5.6 | 800 | 10,205 | 41.7% | 47.1% | |
| 51.85% | 27 | 4.4 | 740 | 11,758 | 58.3% | 46.7% | |
| 61.54% | 26 | 5.7 | 812 | 12,252 | 62.5% | 61.1% | |
| 50.00% | 26 | 3.5 | 667 | 10,267 | 57.1% | 41.7% | |
| 44.00% | 25 | 1.6 | 723 | 11,952 | 50.0% | 38.5% | |
| 44.00% | 25 | 3.7 | 871 | 11,692 | 50.0% | 41.2% | |
| 52.00% | 25 | 3.8 | 670 | 10,603 | 45.5% | 57.1% | |
| 54.17% | 24 | 4.7 | 782 | 11,570 | 40.0% | 57.9% | |
| 50.00% | 24 | 5.3 | 774 | 12,755 | 60.0% | 47.4% | |
| 60.87% | 23 | 2.2 | 739 | 11,810 | 70.0% | 53.9% | |
| 68.18% | 22 | 1.6 | 593 | 9,648 | 58.3% | 80.0% | |
| 59.09% | 22 | 4.0 | 702 | 10,037 | 40.0% | 75.0% | |
| 59.09% | 22 | 1.1 | 661 | 10,590 | 58.3% | 60.0% | |
| 42.86% | 21 | 2.8 | 718 | 8,818 | 36.4% | 50.0% | |
| 55.00% | 20 | 1.4 | 611 | 9,475 | 50.0% | 60.0% | |
| 55.00% | 20 | 3.0 | 595 | 10,716 | 50.0% | 58.3% | |
| 65.00% | 20 | 1.2 | 610 | 11,631 | 77.8% | 54.5% | |
| 63.16% | 19 | 6.1 | 738 | 9,961 | 63.6% | 62.5% | |
| 73.68% | 19 | 1.8 | 741 | 12,931 | 85.7% | 66.7% | |
| 61.11% | 18 | 3.9 | 762 | 12,548 | 50.0% | 64.3% | |
| 50.00% | 18 | 5.0 | 746 | 10,112 | 50.0% | 50.0% | |
| 47.06% | 17 | 5.6 | 771 | 11,020 | 66.7% | 36.4% | |
| 41.18% | 17 | 4.5 | 757 | 11,777 | 33.3% | 45.5% | |
| 50.00% | 16 | 1.8 | 672 | 12,144 | 75.0% | 25.0% | |
| 60.00% | 15 | 3.0 | 648 | 9,931 | 87.5% | 28.6% | |
| 60.00% | 15 | 4.7 | 884 | 12,789 | 66.7% | 55.6% | |
| 46.67% | 15 | 1.3 | 762 | 12,310 | 25.0% | 54.5% | |
| 73.33% | 15 | 5.6 | 792 | 11,465 | 85.7% | 62.5% | |
| 28.57% | 14 | 1.4 | 728 | 12,284 | 28.6% | 28.6% | |
| 57.14% | 14 | 4.0 | 632 | 9,127 | 62.5% | 50.0% | |
| 42.86% | 14 | 3.4 | 683 | 9,736 | 60.0% | 0.0% | |
| 57.14% | 14 | 1.2 | 694 | 11,645 | 40.0% | 66.7% | |
| 50.00% | 14 | 1.3 | 766 | 11,339 | 71.4% | 28.6% | |
| 50.00% | 14 | 1.4 | 594 | 8,796 | 50.0% | 50.0% | |
| 35.71% | 14 | 1.9 | 692 | 11,089 | 33.3% | 37.5% | |
| 50.00% | 14 | 2.8 | 605 | 10,980 | 60.0% | 44.4% | |
| 46.15% | 13 | 6.7 | 899 | 12,469 | 50.0% | 44.4% | |
| 46.15% | 13 | 2.6 | 662 | 11,621 | 50.0% | 42.9% | |
| 53.85% | 13 | 5.3 | 817 | 12,668 | 0.0% | 63.6% | |
| 46.15% | 13 | 3.9 | 716 | 11,826 | 50.0% | 44.4% | |
| 75.00% | 12 | 5.9 | 943 | 10,615 | 71.4% | 80.0% | |
| 25.00% | 12 | 3.3 | 541 | 11,467 | 25.0% | 25.0% | |
| 58.33% | 12 | 4.5 | 854 | 11,695 | 75.0% | 50.0% | |
| 50.00% | 12 | 1.2 | 600 | 10,579 | 42.9% | 60.0% | |
| 50.00% | 12 | 2.6 | 960 | 9,367 | 50.0% | 50.0% | |
| 41.67% | 12 | 1.1 | 673 | 11,618 | 40.0% | 42.9% | |
| 50.00% | 12 | 5.6 | 791 | 10,556 | 50.0% | 50.0% | |
| 72.73% | 11 | 1.9 | 595 | 11,337 | 80.0% | 66.7% | |
| 45.45% | 11 | 3.9 | 711 | 12,801 | 33.3% | 50.0% | |
| 54.55% | 11 | 4.9 | 839 | 10,936 | 66.7% | 40.0% | |
| 36.36% | 11 | 1.8 | 736 | 9,820 | 40.0% | 33.3% | |
| 45.45% | 11 | 3.0 | 686 | 10,082 | 50.0% | 40.0% | |
| 60.00% | 10 | 4.7 | 866 | 12,002 | 50.0% | 62.5% | |
| 20.00% | 10 | 2.3 | 613 | 8,105 | 28.6% | 0.0% | |
| 70.00% | 10 | 5.7 | 737 | 10,175 | 100.0% | 57.1% | |
| 60.00% | 10 | 4.8 | 548 | 10,824 | 60.0% | 60.0% | |
| 50.00% | 10 | 4.2 | 805 | 13,459 | 0.0% | 55.6% | |
| 44.44% | 9 | 3.5 | 690 | 11,366 | 33.3% | 50.0% | |
| 22.22% | 9 | 2.4 | 634 | 9,875 | 16.7% | 33.3% | |
| 55.56% | 9 | 3.4 | 951 | 12,165 | 50.0% | 57.1% | |
| 44.44% | 9 | 1.6 | 661 | 9,340 | 50.0% | 40.0% | |
| 77.78% | 9 | 3.4 | 733 | 10,846 | 100.0% | 66.7% | |
| 100.00% | 9 | 1.1 | 642 | 11,901 | 100.0% | 100.0% | |
| 62.50% | 8 | 5.1 | 614 | 9,837 | 100.0% | 0.0% | |
| 87.50% | 8 | 4.7 | 777 | 11,157 | 66.7% | 100.0% | |
| 37.50% | 8 | 6.5 | 690 | 10,160 | 25.0% | 50.0% | |
| 37.50% | 8 | 6.0 | 744 | 10,427 | 33.3% | 40.0% | |
| 71.43% | 7 | 2.8 | 692 | 9,544 | 75.0% | 66.7% | |
| 57.14% | 7 | 2.2 | 730 | 11,632 | 66.7% | 50.0% | |
| 71.43% | 7 | 3.2 | 740 | 10,483 | 100.0% | 60.0% | |
| 42.86% | 7 | 2.6 | 603 | 9,771 | 0.0% | 75.0% | |
| 57.14% | 7 | 5.3 | 734 | 11,816 | 50.0% | 66.7% | |
| 71.43% | 7 | 5.7 | 920 | 12,461 | 100.0% | 60.0% | |
| 28.57% | 7 | 4.4 | 782 | 11,944 | 0.0% | 40.0% | |
| 71.43% | 7 | 3.1 | 697 | 9,949 | 50.0% | 80.0% | |
| 85.71% | 7 | 2.8 | 527 | 11,416 | 100.0% | 83.3% | |
| 83.33% | 6 | 1.2 | 686 | 8,828 | 100.0% | 50.0% | |
| 66.67% | 6 | 5.8 | 1,009 | 11,687 | 80.0% | 0.0% | |
| 66.67% | 6 | 3.3 | 874 | 12,937 | 0.0% | 80.0% | |
| 33.33% | 6 | 2.6 | 795 | 12,757 | 0.0% | 50.0% | |
| 66.67% | 6 | 2.9 | 611 | 8,464 | 100.0% | 33.3% | |
| 33.33% | 6 | 1.4 | 669 | 12,528 | 50.0% | 25.0% | |
| 20.00% | 5 | 5.3 | 556 | 10,544 | 0.0% | 25.0% | |
| 80.00% | 5 | 3.1 | 750 | 12,815 | 50.0% | 100.0% | |
| 80.00% | 5 | 4.2 | 765 | 7,643 | 100.0% | 50.0% | |
| 60.00% | 5 | 5.7 | 854 | 11,107 | 66.7% | 50.0% | |
| 40.00% | 5 | 0.7 | 434 | 9,794 | 50.0% | 0.0% | |
| 40.00% | 5 | 1.1 | 636 | 10,877 | 66.7% | 0.0% | |
| 40.00% | 5 | 6.1 | 695 | 10,033 | 0.0% | 50.0% | |
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Morgana vs Lux - Frequently Asked Questions
How does Morgana do against Lux in League of Legends?
Morgana wins the Morgana vs Lux matchup with a 50.6% win rate compared to Lux's 49.4%, a 1.1 percentage point difference. This data is based on 629 recent ranked games in patch 26.10.
How does Morgana do against Lux in the early game?
In the early game, Lux has the advantage against Morgana with a 55.1% win rate versus 44.9%. Lux players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Morgana do against Lux in the late game?
In the late game, Morgana takes over the Morgana vs Lux matchup with a 54.7% win rate compared to 45.3%. Morgana scales better into team fights and objective contests after 25 minutes.
Who wins the Morgana vs Lux matchup?
Morgana wins the matchup against Lux with a 50.6% win rate in League of Legends patch 26.10. The 1.1 percentage point advantage means Morgana is slightly favored in this lane matchup based on 629 games analyzed.
What is the best Morgana build against Lux?
The best Morgana build against Lux includes Liandry's Torment, Imperial Mandate, Morellonomicon with Ionian Boots of Lucidity. 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 Morgana runes against Lux?
The best Morgana runes against Lux use the Sorcery primary tree with Domination secondary. This rune setup achieves a 55.6% win rate in the Morgana vs Lux matchup. See the full rune breakdown in the matchup comparison above.
Does Morgana counter Lux?
Yes, Morgana has a favorable matchup against Lux with a 50.6% win rate. Morgana slightly edges out Lux in lane based on current patch 26.10 data.
How do I play Morgana against Lux?
When playing Morgana against Lux, leverage your statistical advantages by trading aggressively during favorable windows. Play safe early and scale into your power spikes where you outperform Lux. Build the recommended items and runes for this specific matchup for the best results.
