Morganavs Gangplank
Morgana vs Gangplank is a decisive matchup in LoL patch 26.4. Morgana wins with a 58.3% win rate (+16.7%) over Gangplank based on 12 games. Morgana holds the advantage in both the early and late game. Below you'll find the best Morgana build, runes, laning stats, and strategies for the Morgana vs Gangplank 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.
Gangplank(58.3%)Who Wins the Morgana vs Gangplank Matchup?
Morgana vs Gangplank Matchup Summary
The Morgana vs Gangplank matchup is a decisive matchup in League of Legends ranked play. Based on 12 recent matches analyzed, Morgana wins with a 58.3% win rate compared to Gangplank's 41.7%, giving Morgana a 16.7 percentage point advantage. Morgana dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Gangplank 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 Morgana leads by 1.1s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Morgana players can confidently pick into Gangplank and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Gangplank away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Morgana vs Gangplank Laning Phase Breakdown
Gangplank is favored during the laning phase against Morgana, winning 4 out of 5 key stat categories. Gangplank holds advantages in farming, damage, gold income and sustain, making them the stronger laner in this matchup.
Best Morgana Build Against Gangplank
Spellslinger's Shoes is the optimal boots choice against Gangplank, providing the mobility and stats Morgana needs most in this matchup. The top-performing core items for Morgana against Gangplank are Liandry's Torment, Zhonya's Hourglass and Blackfire Torch. 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 1 games — well above average and making it the top item path against Gangplank. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Morgana vs Gangplank matchup.
Early Game vs Late Game
Morgana57.1%Gangplank42.9%Morgana60.0%Gangplank40.0%Morgana dominates the early game (first 15 minutes) with a commanding 57.1% win rate — a 14.3 percentage point lead over Gangplank. This lopsided early game means Morgana 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 60.0% win rate — 20.0 points above Gangplank. Extended games heavily favor Morgana, whose kit and scaling make them a dominant force in team fights and objective control.
Morgana holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Gangplank players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Morgana Runes Against Gangplank
Sorcery
Inspiration
Running Sorcery primary with Inspiration secondary allows Morgana to press their advantage against Gangplank, amplifying the strengths that make this a favorable matchup.
Morgana matchup data for League of Legends patch 26.4. 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 |
|---|---|---|---|---|---|---|---|
| 46.32% | 654 | 2.0 | 584 | 10,202 | 44.9% | 47.2% | |
| 46.34% | 465 | 1.5 | 597 | 9,783 | 45.6% | 46.9% | |
| 54.22% | 452 | 1.6 | 612 | 9,913 | 55.3% | 53.5% | |
| 46.50% | 431 | 1.6 | 586 | 9,725 | 48.9% | 44.9% | |
| 49.16% | 418 | 1.6 | 622 | 9,671 | 50.8% | 47.8% | |
| 47.49% | 399 | 1.7 | 596 | 9,855 | 51.4% | 45.2% | |
| 51.06% | 330 | 1.6 | 587 | 9,525 | 51.3% | 50.9% | |
| 50.78% | 256 | 1.6 | 620 | 9,925 | 51.0% | 50.6% | |
| 52.72% | 240 | 1.6 | 560 | 9,532 | 53.9% | 51.9% | |
| 53.56% | 239 | 2.1 | 638 | 10,401 | 50.6% | 55.2% | |
| 46.98% | 232 | 1.8 | 601 | 10,011 | 49.0% | 45.5% | |
| 52.68% | 224 | 1.6 | 642 | 9,556 | 54.8% | 50.8% | |
| 48.40% | 220 | 1.7 | 606 | 10,032 | 50.0% | 47.3% | |
| 48.15% | 216 | 1.6 | 623 | 9,670 | 50.6% | 46.7% | |
| 51.17% | 214 | 1.6 | 619 | 10,159 | 50.5% | 51.6% | |
| 49.76% | 212 | 1.6 | 538 | 9,479 | 59.5% | 42.6% | |
| 52.50% | 200 | 1.6 | 476 | 9,044 | 49.5% | 55.6% | |
| 50.00% | 187 | 2.4 | 597 | 10,095 | 48.0% | 51.3% | |
| 45.56% | 169 | 1.9 | 642 | 10,102 | 40.3% | 49.0% | |
| 52.98% | 168 | 1.5 | 562 | 9,572 | 57.1% | 49.5% | |
| 53.05% | 165 | 1.8 | 691 | 9,910 | 44.9% | 59.0% | |
| 47.85% | 164 | 1.8 | 598 | 10,332 | 45.3% | 49.1% | |
| 53.99% | 163 | 1.5 | 657 | 9,949 | 56.5% | 52.1% | |
| 56.21% | 153 | 1.6 | 729 | 9,797 | 54.7% | 57.7% | |
| 46.31% | 151 | 2.4 | 637 | 10,662 | 45.5% | 46.7% | |
| 51.54% | 130 | 1.6 | 640 | 9,794 | 52.8% | 50.6% | |
| 56.14% | 115 | 1.6 | 590 | 9,670 | 55.8% | 56.5% | |
| 48.15% | 108 | 1.6 | 604 | 9,899 | 50.0% | 47.1% | |
| 53.00% | 100 | 1.5 | 644 | 9,604 | 50.0% | 55.4% | |
| 55.56% | 99 | 1.9 | 627 | 10,376 | 47.4% | 60.7% | |
| 46.81% | 94 | 1.6 | 598 | 10,257 | 47.4% | 46.4% | |
| 49.45% | 91 | 1.6 | 596 | 10,061 | 57.1% | 44.6% | |
| 52.38% | 84 | 4.4 | 733 | 11,064 | 74.3% | 36.7% | |
| 55.95% | 84 | 2.4 | 693 | 11,256 | 63.0% | 52.6% | |
| 43.75% | 81 | 5.6 | 797 | 11,256 | 46.1% | 41.5% | |
| 44.44% | 72 | 1.6 | 674 | 9,205 | 51.6% | 39.0% | |
| 57.81% | 64 | 5.5 | 793 | 11,432 | 59.3% | 56.8% | |
| 50.79% | 63 | 1.5 | 601 | 10,033 | 50.0% | 51.4% | |
| 47.46% | 59 | 1.7 | 571 | 10,397 | 40.0% | 51.3% | |
| 60.34% | 58 | 6.0 | 780 | 10,745 | 51.5% | 72.0% | |
| 72.41% | 58 | 1.8 | 562 | 9,634 | 84.0% | 63.6% | |
| 53.70% | 55 | 2.0 | 674 | 10,464 | 56.3% | 52.6% | |
| 54.55% | 55 | 3.5 | 696 | 10,894 | 64.7% | 50.0% | |
| 50.00% | 48 | 5.8 | 870 | 11,171 | 55.0% | 46.4% | |
| 55.32% | 47 | 2.0 | 715 | 10,459 | 47.6% | 61.5% | |
| 43.48% | 46 | 5.1 | 747 | 9,455 | 50.0% | 35.0% | |
| 65.22% | 46 | 2.0 | 647 | 10,421 | 60.0% | 69.2% | |
| 51.11% | 45 | 3.5 | 663 | 10,181 | 50.0% | 52.0% | |
| 63.64% | 44 | 4.6 | 731 | 11,618 | 78.6% | 56.7% | |
| 50.00% | 42 | 1.6 | 637 | 10,215 | 57.1% | 46.4% | |
| 52.50% | 40 | 4.6 | 762 | 11,744 | 43.8% | 58.3% | |
| 40.00% | 40 | 3.6 | 587 | 9,298 | 33.3% | 50.0% | |
| 37.50% | 40 | 5.2 | 741 | 10,336 | 27.8% | 45.5% | |
| 48.72% | 39 | 5.4 | 770 | 11,788 | 53.3% | 45.8% | |
| 54.29% | 36 | 4.2 | 719 | 11,149 | 50.0% | 57.9% | |
| 42.86% | 35 | 6.1 | 755 | 10,948 | 40.0% | 45.0% | |
| 50.00% | 34 | 3.0 | 799 | 10,924 | 42.9% | 55.0% | |
| 35.29% | 34 | 4.4 | 683 | 11,036 | 20.0% | 47.4% | |
| 57.58% | 33 | 2.9 | 681 | 9,759 | 46.7% | 66.7% | |
| 50.00% | 32 | 4.9 | 837 | 11,364 | 47.1% | 53.3% | |
| 48.39% | 31 | 5.3 | 856 | 11,524 | 58.3% | 42.1% | |
| 48.28% | 29 | 1.3 | 623 | 10,447 | 45.5% | 50.0% | |
| 44.83% | 29 | 5.6 | 744 | 10,260 | 43.8% | 46.1% | |
| 50.00% | 28 | 3.1 | 649 | 9,939 | 41.7% | 56.3% | |
| 57.69% | 26 | 4.3 | 660 | 10,606 | 66.7% | 50.0% | |
| 50.00% | 24 | 3.2 | 776 | 10,483 | 75.0% | 25.0% | |
| 50.00% | 24 | 5.5 | 871 | 11,871 | 50.0% | 50.0% | |
| 60.87% | 23 | 5.4 | 790 | 10,962 | 66.7% | 57.1% | |
| 47.83% | 23 | 5.5 | 760 | 9,636 | 41.7% | 54.5% | |
| 39.13% | 23 | 1.8 | 749 | 11,651 | 38.5% | 40.0% | |
| 47.62% | 21 | 3.5 | 890 | 12,443 | 25.0% | 52.9% | |
| 60.00% | 20 | 1.6 | 784 | 12,016 | 40.0% | 66.7% | |
| 36.84% | 20 | 1.4 | 594 | 11,432 | 57.1% | 25.0% | |
| 65.00% | 20 | 2.6 | 604 | 9,763 | 80.0% | 50.0% | |
| 55.00% | 20 | 1.9 | 834 | 11,743 | 44.4% | 63.6% | |
| 42.11% | 20 | 5.7 | 715 | 9,227 | 45.5% | 37.5% | |
| 75.00% | 20 | 3.7 | 985 | 10,808 | 80.0% | 70.0% | |
| 47.37% | 19 | 2.2 | 741 | 10,553 | 36.4% | 62.5% | |
| 83.33% | 18 | 3.2 | 705 | 12,123 | 40.0% | 100.0% | |
| 33.33% | 18 | 3.4 | 600 | 9,156 | 60.0% | 0.0% | |
| 66.67% | 18 | 1.8 | 657 | 11,655 | 80.0% | 50.0% | |
| 27.78% | 18 | 2.5 | 757 | 12,162 | 28.6% | 27.3% | |
| 41.18% | 17 | 3.8 | 801 | 10,283 | 12.5% | 66.7% | |
| 35.29% | 17 | 1.5 | 617 | 11,217 | 42.9% | 30.0% | |
| 70.59% | 17 | 1.7 | 679 | 11,618 | 75.0% | 66.7% | |
| 58.82% | 17 | 6.3 | 891 | 12,392 | 60.0% | 58.3% | |
| 58.82% | 17 | 4.9 | 804 | 12,249 | 77.8% | 37.5% | |
| 41.18% | 17 | 1.5 | 672 | 11,514 | 80.0% | 25.0% | |
| 62.50% | 17 | 3.2 | 641 | 11,517 | 50.0% | 66.7% | |
| 46.67% | 17 | 2.2 | 881 | 13,289 | 50.0% | 45.5% | |
| 43.75% | 16 | 1.9 | 556 | 8,922 | 66.7% | 30.0% | |
| 62.50% | 16 | 1.6 | 733 | 9,993 | 63.6% | 60.0% | |
| 40.00% | 15 | 1.2 | 642 | 11,509 | 22.2% | 66.7% | |
| 28.57% | 14 | 1.1 | 632 | 10,977 | 20.0% | 33.3% | |
| 42.86% | 14 | 5.7 | 721 | 12,099 | 50.0% | 41.7% | |
| 50.00% | 14 | 3.8 | 698 | 10,632 | 57.1% | 42.9% | |
| 61.54% | 13 | 5.3 | 856 | 11,045 | 50.0% | 71.4% | |
| 61.54% | 13 | 1.5 | 733 | 13,049 | 75.0% | 55.6% | |
| 69.23% | 13 | 2.4 | 857 | 13,919 | 100.0% | 60.0% | |
| 69.23% | 13 | 5.4 | 821 | 9,946 | 60.0% | 75.0% | |
| 38.46% | 13 | 1.9 | 680 | 12,492 | 62.5% | 0.0% | |
| 46.15% | 13 | 0.9 | 601 | 11,989 | 60.0% | 37.5% | |
| 46.15% | 13 | 4.7 | 612 | 11,055 | 60.0% | 37.5% | |
| 53.85% | 13 | 5.6 | 829 | 11,650 | 80.0% | 37.5% | |
| 30.77% | 13 | 6.2 | 729 | 10,605 | 20.0% | 37.5% | |
| 58.33% | 12 | 5.9 | 957 | 11,613 | 80.0% | 42.9% | |
| 75.00% | 12 | 3.8 | 755 | 12,217 | 75.0% | 75.0% | |
| 54.55% | 12 | 2.4 | 749 | 10,265 | 66.7% | 50.0% | |
| 50.00% | 12 | 4.3 | 692 | 11,262 | 60.0% | 42.9% | |
| 58.33% | 12 | 5.1 | 864 | 11,832 | 66.7% | 50.0% | |
| 58.33% | 12 | 5.5 | 720 | 9,204 | 57.1% | 60.0% | |
| 72.73% | 12 | 5.0 | 830 | 12,818 | 60.0% | 83.3% | |
| 27.27% | 11 | 1.7 | 899 | 13,418 | 50.0% | 14.3% | |
| 60.00% | 11 | 1.3 | 707 | 12,806 | 40.0% | 80.0% | |
| 45.45% | 11 | 5.0 | 737 | 10,993 | 66.7% | 37.5% | |
| 54.55% | 11 | 2.1 | 686 | 12,785 | 50.0% | 57.1% | |
| 72.73% | 11 | 1.1 | 679 | 10,464 | 85.7% | 50.0% | |
| 63.64% | 11 | 4.4 | 674 | 9,047 | 71.4% | 50.0% | |
| 70.00% | 10 | 3.4 | 779 | 12,976 | 100.0% | 66.7% | |
| 50.00% | 10 | 4.8 | 864 | 11,810 | 100.0% | 44.4% | |
| 60.00% | 10 | 3.9 | 789 | 12,751 | 100.0% | 42.9% | |
| 60.00% | 10 | 5.5 | 690 | 11,295 | 25.0% | 83.3% | |
| 55.56% | 9 | 1.4 | 673 | 10,921 | 33.3% | 100.0% | |
| 66.67% | 9 | 4.9 | 782 | 12,219 | 50.0% | 80.0% | |
| 37.50% | 8 | 3.5 | 539 | 9,634 | 40.0% | 33.3% | |
| 37.50% | 8 | 1.0 | 583 | 12,162 | 25.0% | 50.0% | |
| 50.00% | 8 | 4.2 | 674 | 11,696 | 66.7% | 40.0% | |
| 62.50% | 8 | 2.1 | 609 | 9,278 | 75.0% | 50.0% | |
| 37.50% | 8 | 2.7 | 750 | 10,773 | 33.3% | 40.0% | |
| 62.50% | 8 | 5.0 | 709 | 12,455 | 33.3% | 80.0% | |
| 57.14% | 7 | 1.5 | 622 | 10,128 | 60.0% | 50.0% | |
| 42.86% | 7 | 3.3 | 600 | 11,016 | 50.0% | 40.0% | |
| 71.43% | 7 | 5.2 | 548 | 9,172 | 75.0% | 66.7% | |
| 71.43% | 7 | 5.7 | 873 | 12,916 | 100.0% | 66.7% | |
| 16.67% | 7 | 2.7 | 645 | 10,970 | 0.0% | 25.0% | |
| 57.14% | 7 | 3.0 | 851 | 10,758 | 60.0% | 50.0% | |
| 50.00% | 6 | 4.2 | 821 | 14,708 | 0.0% | 60.0% | |
| 33.33% | 6 | 1.1 | 675 | 10,277 | 33.3% | 33.3% | |
| 66.67% | 6 | 3.5 | 709 | 10,691 | 50.0% | 75.0% | |
| 50.00% | 6 | 4.9 | 910 | 11,145 | 50.0% | 50.0% | |
| 50.00% | 6 | 3.4 | 989 | 11,058 | 50.0% | 50.0% | |
| 50.00% | 6 | 3.8 | 1,130 | 14,424 | 0.0% | 50.0% | |
| 33.33% | 6 | 2.5 | 462 | 6,826 | 20.0% | 100.0% | |
| 40.00% | 5 | 1.3 | 577 | 12,392 | 0.0% | 50.0% | |
| 100.00% | 5 | 5.3 | 792 | 9,700 | 100.0% | 100.0% | |
| 60.00% | 5 | 4.9 | 880 | 11,443 | 50.0% | 66.7% | |
| 40.00% | 5 | 2.7 | 830 | 10,407 | 100.0% | 0.0% | |
| 100.00% | 5 | 3.4 | 680 | 8,778 | 100.0% | 100.0% | |
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Morgana vs Gangplank - Frequently Asked Questions
How does Morgana do against Gangplank in League of Legends?
Morgana wins the Morgana vs Gangplank matchup with a 58.3% win rate compared to Gangplank's 41.7%, a 16.7 percentage point difference. This data is based on 12 recent ranked games in patch 26.4.
How does Morgana do against Gangplank in the early game?
In the early game, Morgana has the advantage against Gangplank with a 57.1% win rate versus 42.9%. Morgana players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Morgana do against Gangplank in the late game?
In the late game, Morgana takes over the Morgana vs Gangplank matchup with a 60.0% win rate compared to 40.0%. Morgana scales better into team fights and objective contests after 25 minutes.
Who wins the Morgana vs Gangplank matchup?
Morgana wins the matchup against Gangplank with a 58.3% win rate in League of Legends patch 26.4. The 16.7 percentage point advantage means Morgana is significantly favored in this lane matchup based on 12 games analyzed.
What is the best Morgana build against Gangplank?
The best Morgana build against Gangplank includes Liandry's Torment, Zhonya's Hourglass, Blackfire Torch 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 Morgana runes against Gangplank?
The best Morgana runes against Gangplank use the Sorcery primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Morgana vs Gangplank matchup. See the full rune breakdown in the matchup comparison above.
Does Morgana counter Gangplank?
Yes, Morgana has a favorable matchup against Gangplank with a 58.3% win rate. Morgana strongly counters Gangplank in lane based on current patch 26.4 data.
How do I play Morgana against Gangplank?
When playing Morgana against Gangplank, 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.