
Morgana vs Pantheon is a decisive matchup in LoL patch 26.17. Pantheon wins with a 56.7% win rate (+13.3%) over Morgana based on 60 games. Morgana wins the early laning phase while Pantheon scales better into the late game. Below you'll find the best Morgana build, runes, laning stats, and strategies for the Morgana vs Pantheon matchup.
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.

The Morgana vs Pantheon matchup is a decisive matchup in League of Legends ranked play. Based on 60 recent matches analyzed, Pantheon wins with a 56.7% win rate compared to Morgana's 43.3%, giving Pantheon a 13.3 percentage point advantage. Game phase dynamics play a critical role here: Morgana controls the early laning stage, but Pantheon outscales as the game goes longer. The matchup shifts dramatically depending on game length — Morgana needs to press advantages before Pantheon reaches their power spikes, while Pantheon should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Morgana leads by 1.3s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Pantheon has a strong advantage in this matchup. Morgana players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Pantheon overextending. Avoid prolonged trades and wait for team fights where positioning and coordination matter more. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Pantheon is favored during the laning phase against Morgana, winning 3 out of 5 key stat categories. Pantheon holds advantages in damage, gold income and sustain, making them the stronger laner in this matchup.
Ionian Boots of Lucidity is the optimal boots choice against Pantheon, providing the mobility and stats Morgana needs most in this matchup. The top-performing core items for Morgana against Pantheon are Liandry's Torment, Morellonomicon and Zhonya's Hourglass. This combination gives Morgana an effective balance of damage, survivability, and utility for the matchup. This build has a 25.0% win rate across 4 games. While the overall matchup may be difficult, this item path gives Morgana the best chance to compete against Pantheon. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Morgana vs Pantheon matchup.
Morgana dominates the early game (first 15 minutes) with a commanding 57.1% win rate — a 14.3 percentage point lead over Pantheon. This lopsided early game means Morgana can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Pantheon is far superior in the late game (25+ minutes), boasting a 68.8% win rate — 37.5 points above Morgana. Extended games heavily favor Pantheon, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Morgana must aggressively press their early advantage and close out the game before Pantheon reaches their scaling breakpoints. If Pantheon 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.
The Sorcery and Domination rune setup gives Morgana the best tools to compete against Pantheon in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Morgana matchup data for League of Legends patch 26.17. 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 |
|---|---|---|---|---|---|---|---|
| 54.05% | 222 | 1.8 | 566 | 10,137 | 50.6% | 56.0% | |
| 49.53% | 214 | 1.7 | 576 | 9,700 | 54.3% | 45.8% | |
| 55.15% | 165 | 1.6 | 621 | 9,769 | 57.9% | 52.8% | |
| 50.94% | 159 | 1.6 | 587 | 9,444 | 50.7% | 51.2% | |
| 50.39% | 129 | 1.7 | 600 | 9,348 | 58.2% | 44.6% | |
| 50.44% | 113 | 1.8 | 585 | 9,931 | 52.2% | 49.3% | |
| 48.91% | 92 | 1.6 | 596 | 9,663 | 45.5% | 52.1% | |
| 41.25% | 80 | 1.8 | 569 | 10,098 | 42.4% | 40.4% | |
| 50.00% | 78 | 1.6 | 544 | 8,801 | 52.8% | 47.6% | |
| 53.25% | 77 | 1.6 | 565 | 9,409 | 52.3% | 54.5% | |
| 50.65% | 77 | 1.9 | 655 | 10,564 | 39.3% | 57.1% | |
| 48.65% | 74 | 1.8 | 577 | 10,275 | 40.0% | 53.1% | |
| 52.17% | 69 | 1.7 | 664 | 10,085 | 59.3% | 47.6% | |
| 55.88% | 68 | 1.6 | 512 | 8,909 | 70.6% | 41.2% | |
| 59.68% | 62 | 1.9 | 465 | 9,336 | 56.7% | 62.5% | |
| 43.33% | 60 | 1.8 | 589 | 10,012 | 57.1% | 31.3% | |
| 48.33% | 60 | 1.6 | 647 | 9,588 | 50.0% | 47.2% | |
| 45.00% | 60 | 2.7 | 624 | 9,816 | 25.9% | 60.6% | |
| 36.84% | 57 | 1.7 | 567 | 9,665 | 44.0% | 31.3% | |
| 51.79% | 56 | 2.0 | 736 | 9,150 | 35.7% | 67.9% | |
| 56.36% | 55 | 2.5 | 586 | 9,003 | 55.2% | 57.7% | |
| 56.60% | 53 | 1.8 | 602 | 9,588 | 58.3% | 55.2% | |
| 48.08% | 52 | 1.6 | 591 | 9,651 | 57.9% | 42.4% | |
| 48.08% | 52 | 1.5 | 622 | 10,539 | 61.1% | 41.2% | |
| 60.87% | 46 | 1.7 | 540 | 9,871 | 68.4% | 55.6% | |
| 60.53% | 38 | 1.6 | 538 | 9,715 | 43.8% | 72.7% | |
| 67.57% | 37 | 1.5 | 612 | 9,160 | 62.5% | 71.4% | |
| 47.22% | 36 | 1.8 | 545 | 9,320 | 42.1% | 52.9% | |
| 44.44% | 36 | 1.6 | 494 | 9,200 | 45.5% | 44.0% | |
| 54.29% | 35 | 1.6 | 633 | 9,887 | 62.5% | 47.4% | |
| 57.58% | 33 | 3.4 | 755 | 11,297 | 83.3% | 42.9% | |
| 56.25% | 32 | 1.9 | 532 | 10,006 | 62.5% | 54.2% | |
| 67.74% | 31 | 1.6 | 546 | 10,034 | 53.9% | 77.8% | |
| 54.84% | 31 | 1.6 | 614 | 9,653 | 54.5% | 55.0% | |
| 42.86% | 28 | 3.0 | 661 | 11,445 | 50.0% | 40.0% | |
| 44.44% | 27 | 5.7 | 850 | 11,876 | 71.4% | 35.0% | |
| 50.00% | 26 | 5.3 | 740 | 9,574 | 50.0% | 50.0% | |
| 60.00% | 25 | 1.9 | 632 | 10,842 | 45.5% | 71.4% | |
| 47.83% | 23 | 1.9 | 644 | 9,018 | 58.3% | 36.4% | |
| 52.38% | 21 | 2.4 | 497 | 9,614 | 50.0% | 55.6% | |
| 70.00% | 20 | 2.0 | 648 | 11,724 | 71.4% | 69.2% | |
| 40.00% | 20 | 5.7 | 657 | 9,331 | 25.0% | 62.5% | |
| 68.42% | 19 | 1.8 | 615 | 10,192 | 80.0% | 55.6% | |
| 58.82% | 17 | 1.4 | 662 | 11,343 | 0.0% | 71.4% | |
| 41.18% | 17 | 2.0 | 528 | 8,594 | 50.0% | 28.6% | |
| 76.47% | 17 | 2.6 | 593 | 10,065 | 62.5% | 88.9% | |
| 56.25% | 16 | 4.2 | 843 | 10,793 | 71.4% | 44.4% | |
| 40.00% | 15 | 1.7 | 754 | 10,952 | 40.0% | 40.0% | |
| 60.00% | 15 | 5.7 | 835 | 12,605 | 33.3% | 77.8% | |
| 38.46% | 13 | 2.9 | 618 | 9,929 | 50.0% | 28.6% | |
| 58.33% | 12 | 4.6 | 658 | 10,882 | 50.0% | 66.7% | |
| 25.00% | 12 | 4.0 | 800 | 9,438 | 0.0% | 42.9% | |
| 41.67% | 12 | 1.6 | 598 | 11,454 | 33.3% | 44.4% | |
| 25.00% | 12 | 1.0 | 608 | 10,376 | 25.0% | 25.0% | |
| 36.36% | 11 | 3.9 | 734 | 11,415 | 50.0% | 33.3% | |
| 60.00% | 10 | 4.8 | 820 | 12,354 | 66.7% | 57.1% | |
| 70.00% | 10 | 1.5 | 639 | 8,753 | 85.7% | 33.3% | |
| 60.00% | 10 | 4.9 | 779 | 11,443 | 50.0% | 62.5% | |
| 50.00% | 10 | 4.0 | 748 | 11,108 | 75.0% | 33.3% | |
| 70.00% | 10 | 6.0 | 901 | 11,057 | 75.0% | 66.7% | |
| 88.89% | 9 | 2.5 | 695 | 9,971 | 75.0% | 100.0% | |
| 55.56% | 9 | 6.0 | 778 | 11,106 | 50.0% | 60.0% | |
| 55.56% | 9 | 5.9 | 770 | 11,180 | 25.0% | 80.0% | |
| 44.44% | 9 | 1.6 | 599 | 10,495 | 40.0% | 50.0% | |
| 33.33% | 9 | 1.9 | 757 | 11,484 | 50.0% | 20.0% | |
| 25.00% | 8 | 4.7 | 664 | 10,207 | 50.0% | 16.7% | |
| 37.50% | 8 | 4.1 | 764 | 10,407 | 50.0% | 25.0% | |
| 50.00% | 8 | 2.6 | 754 | 10,539 | 100.0% | 33.3% | |
| 62.50% | 8 | 3.7 | 755 | 13,889 | 100.0% | 57.1% | |
| 37.50% | 8 | 1.0 | 527 | 12,554 | 50.0% | 33.3% | |
| 37.50% | 8 | 1.9 | 623 | 11,220 | 25.0% | 50.0% | |
| 37.50% | 8 | 2.8 | 515 | 7,948 | 40.0% | 33.3% | |
| 12.50% | 8 | 5.8 | 441 | 6,110 | 14.3% | 0.0% | |
| 50.00% | 8 | 5.3 | 707 | 11,633 | 66.7% | 40.0% | |
| 57.14% | 7 | 5.0 | 851 | 10,720 | 50.0% | 66.7% | |
| 28.57% | 7 | 1.1 | 697 | 11,452 | 33.3% | 25.0% | |
| 71.43% | 7 | 5.6 | 853 | 8,840 | 75.0% | 66.7% | |
| 28.57% | 7 | 4.2 | 742 | 9,891 | 50.0% | 0.0% | |
| 28.57% | 7 | 2.3 | 678 | 10,254 | 40.0% | 0.0% | |
| 71.43% | 7 | 0.7 | 582 | 12,418 | 100.0% | 66.7% | |
| 50.00% | 6 | 3.6 | 815 | 13,134 | 33.3% | 66.7% | |
| 50.00% | 6 | 2.0 | 640 | 10,079 | 50.0% | 50.0% | |
| 66.67% | 6 | 4.1 | 818 | 12,104 | 66.7% | 66.7% | |
| 20.00% | 5 | 1.6 | 664 | 13,237 | 100.0% | 0.0% | |
| 40.00% | 5 | 1.4 | 851 | 11,801 | 100.0% | 25.0% | |
| 60.00% | 5 | 1.4 | 654 | 10,734 | 50.0% | 66.7% | |
| 60.00% | 5 | 1.9 | 714 | 10,703 | 100.0% | 50.0% | |
| 40.00% | 5 | 5.2 | 674 | 10,781 | 50.0% | 33.3% | |
| 40.00% | 5 | 1.1 | 835 | 13,136 | 0.0% | 66.7% | |
| 60.00% | 5 | 2.1 | 609 | 11,048 | 0.0% | 75.0% | |
| 80.00% | 5 | 2.2 | 502 | 8,221 | 100.0% | 50.0% | |
| 60.00% | 5 | 4.6 | 605 | 9,099 | 50.0% | 100.0% | |
| 60.00% | 5 | 1.3 | 743 | 11,285 | 33.3% | 100.0% | |
| 100.00% | 5 | 2.7 | 565 | 11,459 | 100.0% | 100.0% | |
| 20.00% | 5 | 5.4 | 694 | 8,950 | 33.3% | 0.0% | |
| 20.00% | 5 | 0.9 | 664 | 12,409 | 33.3% | 0.0% | |
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Pantheon wins the Morgana vs Pantheon matchup with a 56.7% win rate compared to Morgana's 43.3%, a 13.3 percentage point difference. This data is based on 60 recent ranked games in patch 26.17.
In the early game, Morgana has the advantage against Pantheon 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.
In the late game, Pantheon takes over the Morgana vs Pantheon matchup with a 68.8% win rate compared to 31.3%. Pantheon scales better into team fights and objective contests after 25 minutes.
Pantheon wins the matchup against Morgana with a 56.7% win rate in League of Legends patch 26.17. The 13.3 percentage point advantage means Pantheon is significantly favored in this lane matchup based on 60 games analyzed.
The best Morgana build against Pantheon includes Liandry's Torment, Morellonomicon, Zhonya's Hourglass with Ionian Boots of Lucidity. This build achieves a 25.0% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
The best Morgana runes against Pantheon use the Sorcery primary tree with Domination secondary. This rune setup achieves a 34.5% win rate in the Morgana vs Pantheon matchup. See the full rune breakdown in the matchup comparison above.
No, Morgana struggles against Pantheon with only a 43.3% win rate. Pantheon has the advantage in this matchup. Morgana players should focus on safe farming and avoiding extended trades to minimize Pantheon's lead.
When playing Morgana against Pantheon, play cautiously and avoid Pantheon's power spikes. Look for jungle assistance and team-dependent plays since Pantheon has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.
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