Morganavs Olaf
Morgana vs Olaf is a decisive matchup in LoL patch 26.10. Morgana wins with a 60.0% win rate (+20.0%) over Olaf based on 5 games. Olaf 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 Olaf 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.
Olaf(60.0%)Who Wins the Morgana vs Olaf Matchup?
Morgana vs Olaf Matchup Summary
The Morgana vs Olaf matchup is a decisive matchup in League of Legends ranked play. Based on 5 recent matches analyzed, Morgana wins with a 60.0% win rate compared to Olaf's 40.0%, giving Morgana a 20.0 percentage point advantage. Game phase dynamics play a critical role here: Olaf controls the early laning stage, but Morgana outscales as the game goes longer. The matchup shifts dramatically depending on game length — Olaf 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 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 Olaf and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Olaf 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 Olaf Laning Phase Breakdown
Olaf is favored during the laning phase against Morgana, winning 3 out of 5 key stat categories. Olaf holds advantages in farming, gold income and sustain, making them the stronger laner in this matchup.
Best Morgana Build Against Olaf
Sorcerer's Shoes is the optimal boots choice against Olaf, providing the mobility and stats Morgana needs most in this matchup. The top-performing core items for Morgana against Olaf are Bloodletter's Curse, Liandry's Torment and Zhonya's Hourglass. 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 Olaf. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Morgana vs Olaf matchup.
Early Game vs Late Game
Morgana0.0%Olaf100.0%Morgana100.0%Olaf0.0%Olaf dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Morgana. This lopsided early game means Olaf 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 100.0% win rate — 100.0 points above Olaf. 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: Olaf 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 Olaf
Domination
Inspiration
Running Domination primary with Inspiration secondary allows Morgana to press their advantage against Olaf, amplifying the strengths that make this a favorable matchup.
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 |
|---|---|---|---|---|---|---|---|
| 48.39% | 589 | 2.0 | 582 | 9,782 | 48.8% | 48.1% | |
| 48.56% | 556 | 1.7 | 584 | 9,228 | 45.5% | 51.2% | |
| 51.66% | 391 | 1.6 | 606 | 9,393 | 59.4% | 45.4% | |
| 52.51% | 379 | 1.6 | 595 | 9,565 | 56.0% | 49.5% | |
| 50.44% | 341 | 1.6 | 629 | 9,513 | 55.2% | 46.9% | |
| 49.26% | 337 | 1.6 | 590 | 9,310 | 49.0% | 49.5% | |
| 47.99% | 298 | 2.0 | 648 | 10,146 | 52.9% | 45.4% | |
| 51.70% | 294 | 1.7 | 635 | 10,056 | 52.3% | 51.4% | |
| 54.79% | 219 | 1.6 | 616 | 9,627 | 52.3% | 56.4% | |
| 45.64% | 195 | 1.7 | 543 | 8,942 | 42.9% | 47.8% | |
| 51.31% | 191 | 1.7 | 609 | 9,367 | 57.6% | 46.2% | |
| 45.55% | 191 | 1.8 | 584 | 9,847 | 41.4% | 47.9% | |
| 48.68% | 189 | 2.3 | 594 | 9,355 | 53.3% | 45.5% | |
| 50.00% | 188 | 1.6 | 607 | 9,421 | 49.3% | 50.4% | |
| 40.54% | 185 | 1.8 | 569 | 10,006 | 44.4% | 37.5% | |
| 43.64% | 165 | 2.5 | 618 | 10,051 | 36.7% | 47.6% | |
| 56.17% | 162 | 1.8 | 753 | 9,950 | 54.4% | 57.5% | |
| 56.88% | 160 | 1.8 | 696 | 9,684 | 54.3% | 58.9% | |
| 52.26% | 155 | 1.8 | 586 | 9,997 | 55.7% | 50.0% | |
| 47.97% | 148 | 1.6 | 486 | 9,091 | 55.7% | 42.5% | |
| 42.55% | 141 | 1.6 | 560 | 9,337 | 36.4% | 46.5% | |
| 50.00% | 140 | 1.8 | 615 | 10,073 | 53.9% | 47.7% | |
| 47.45% | 137 | 1.6 | 660 | 9,658 | 51.9% | 44.6% | |
| 54.07% | 135 | 1.9 | 640 | 9,532 | 52.6% | 55.1% | |
| 55.47% | 128 | 1.6 | 655 | 9,528 | 50.9% | 59.1% | |
| 55.81% | 86 | 1.6 | 629 | 9,163 | 55.6% | 56.1% | |
| 44.71% | 85 | 1.7 | 581 | 9,392 | 53.9% | 37.0% | |
| 44.58% | 83 | 1.6 | 587 | 9,143 | 41.5% | 47.6% | |
| 48.15% | 81 | 1.8 | 695 | 9,593 | 52.8% | 44.4% | |
| 51.90% | 79 | 2.1 | 601 | 9,641 | 56.8% | 47.6% | |
| 50.00% | 70 | 4.0 | 783 | 10,169 | 48.4% | 51.3% | |
| 44.29% | 70 | 1.7 | 596 | 9,680 | 46.9% | 42.1% | |
| 50.72% | 69 | 1.8 | 590 | 10,477 | 43.5% | 54.4% | |
| 47.62% | 63 | 1.8 | 643 | 9,586 | 54.2% | 43.6% | |
| 49.15% | 59 | 2.4 | 635 | 10,025 | 42.1% | 52.5% | |
| 50.00% | 56 | 2.7 | 635 | 10,618 | 61.1% | 44.7% | |
| 44.64% | 56 | 5.6 | 798 | 11,430 | 33.3% | 48.8% | |
| 52.73% | 55 | 3.6 | 668 | 10,400 | 61.1% | 48.6% | |
| 50.00% | 54 | 1.7 | 601 | 8,389 | 51.9% | 48.1% | |
| 46.15% | 52 | 1.8 | 634 | 9,741 | 47.8% | 44.8% | |
| 41.18% | 51 | 5.9 | 834 | 10,954 | 47.1% | 38.2% | |
| 48.00% | 50 | 2.2 | 608 | 9,398 | 37.5% | 57.7% | |
| 38.78% | 49 | 5.7 | 704 | 10,027 | 41.7% | 36.0% | |
| 57.45% | 47 | 5.8 | 864 | 11,628 | 44.4% | 65.5% | |
| 51.11% | 45 | 2.0 | 714 | 9,667 | 52.4% | 50.0% | |
| 51.28% | 39 | 5.3 | 765 | 11,666 | 33.3% | 56.7% | |
| 64.10% | 39 | 4.6 | 772 | 11,167 | 56.3% | 69.6% | |
| 57.89% | 38 | 4.2 | 805 | 11,545 | 64.7% | 52.4% | |
| 52.63% | 38 | 1.6 | 532 | 9,454 | 47.1% | 57.1% | |
| 62.16% | 37 | 3.5 | 734 | 11,276 | 50.0% | 66.7% | |
| 52.78% | 36 | 3.3 | 638 | 10,713 | 50.0% | 54.5% | |
| 51.43% | 35 | 5.4 | 816 | 11,316 | 58.8% | 44.4% | |
| 50.00% | 34 | 2.3 | 711 | 10,777 | 44.4% | 52.0% | |
| 40.63% | 32 | 4.3 | 596 | 9,610 | 43.8% | 37.5% | |
| 58.06% | 31 | 4.5 | 774 | 11,930 | 42.9% | 62.5% | |
| 48.39% | 31 | 5.9 | 858 | 11,404 | 30.8% | 61.1% | |
| 36.67% | 30 | 1.7 | 666 | 11,631 | 28.6% | 39.1% | |
| 76.67% | 30 | 4.8 | 871 | 11,396 | 88.9% | 58.3% | |
| 48.28% | 29 | 3.1 | 706 | 10,373 | 50.0% | 47.1% | |
| 39.29% | 28 | 4.2 | 731 | 9,884 | 36.4% | 41.2% | |
| 62.96% | 27 | 1.8 | 637 | 10,593 | 60.0% | 64.7% | |
| 53.85% | 26 | 3.1 | 707 | 12,211 | 62.5% | 50.0% | |
| 57.69% | 26 | 5.0 | 816 | 11,006 | 55.6% | 58.8% | |
| 52.00% | 25 | 1.6 | 753 | 11,475 | 44.4% | 56.3% | |
| 56.00% | 25 | 6.2 | 805 | 10,732 | 35.7% | 81.8% | |
| 76.00% | 25 | 4.3 | 684 | 11,223 | 77.8% | 75.0% | |
| 43.48% | 23 | 5.4 | 716 | 9,711 | 46.1% | 40.0% | |
| 56.52% | 23 | 1.8 | 692 | 12,753 | 71.4% | 50.0% | |
| 68.18% | 22 | 1.2 | 659 | 11,302 | 55.6% | 76.9% | |
| 59.09% | 22 | 5.1 | 775 | 11,088 | 50.0% | 64.3% | |
| 68.18% | 22 | 5.4 | 842 | 12,414 | 75.0% | 64.3% | |
| 33.33% | 21 | 1.2 | 704 | 11,664 | 42.9% | 28.6% | |
| 50.00% | 20 | 1.6 | 593 | 11,341 | 71.4% | 38.5% | |
| 65.00% | 20 | 3.8 | 698 | 8,928 | 54.5% | 77.8% | |
| 60.00% | 20 | 2.9 | 625 | 10,066 | 60.0% | 60.0% | |
| 52.63% | 19 | 1.5 | 591 | 11,412 | 71.4% | 41.7% | |
| 63.16% | 19 | 6.0 | 788 | 11,677 | 33.3% | 76.9% | |
| 52.63% | 19 | 1.4 | 614 | 10,461 | 54.5% | 50.0% | |
| 72.22% | 18 | 5.7 | 681 | 10,108 | 55.6% | 88.9% | |
| 66.67% | 18 | 1.8 | 678 | 10,353 | 57.1% | 72.7% | |
| 70.59% | 17 | 4.6 | 764 | 11,559 | 50.0% | 76.9% | |
| 56.25% | 16 | 5.1 | 810 | 11,314 | 57.1% | 55.6% | |
| 62.50% | 16 | 1.3 | 743 | 12,213 | 44.4% | 85.7% | |
| 31.25% | 16 | 5.2 | 696 | 10,195 | 83.3% | 0.0% | |
| 37.50% | 16 | 1.4 | 626 | 12,456 | 60.0% | 27.3% | |
| 46.67% | 15 | 1.3 | 633 | 11,422 | 50.0% | 42.9% | |
| 40.00% | 15 | 5.1 | 729 | 9,852 | 42.9% | 37.5% | |
| 40.00% | 15 | 1.5 | 669 | 11,387 | 16.7% | 55.6% | |
| 57.14% | 14 | 3.8 | 573 | 11,069 | 100.0% | 25.0% | |
| 85.71% | 14 | 3.3 | 766 | 11,222 | 85.7% | 85.7% | |
| 38.46% | 13 | 4.4 | 701 | 9,483 | 50.0% | 28.6% | |
| 46.15% | 13 | 1.0 | 603 | 11,171 | 33.3% | 75.0% | |
| 38.46% | 13 | 4.5 | 646 | 10,135 | 40.0% | 37.5% | |
| 33.33% | 12 | 2.1 | 652 | 8,880 | 33.3% | 33.3% | |
| 66.67% | 12 | 2.9 | 732 | 10,820 | 50.0% | 75.0% | |
| 50.00% | 12 | 5.1 | 601 | 9,100 | 50.0% | 50.0% | |
| 50.00% | 12 | 1.7 | 624 | 11,118 | 60.0% | 42.9% | |
| 66.67% | 12 | 5.3 | 673 | 10,523 | 100.0% | 50.0% | |
| 58.33% | 12 | 5.6 | 807 | 11,957 | 100.0% | 37.5% | |
| 45.45% | 11 | 4.0 | 616 | 9,858 | 40.0% | 50.0% | |
| 54.55% | 11 | 1.9 | 741 | 10,580 | 75.0% | 42.9% | |
| 63.64% | 11 | 2.8 | 627 | 11,080 | 60.0% | 66.7% | |
| 63.64% | 11 | 2.7 | 634 | 10,252 | 40.0% | 83.3% | |
| 60.00% | 10 | 2.0 | 765 | 11,224 | 60.0% | 60.0% | |
| 60.00% | 10 | 6.0 | 1,056 | 10,939 | 0.0% | 75.0% | |
| 80.00% | 10 | 3.4 | 747 | 11,577 | 50.0% | 87.5% | |
| 70.00% | 10 | 1.1 | 707 | 11,525 | 50.0% | 83.3% | |
| 40.00% | 10 | 3.7 | 632 | 9,255 | 28.6% | 66.7% | |
| 50.00% | 10 | 6.3 | 819 | 12,273 | 100.0% | 44.4% | |
| 70.00% | 10 | 4.9 | 928 | 13,496 | 66.7% | 71.4% | |
| 44.44% | 9 | 2.6 | 816 | 13,235 | 50.0% | 42.9% | |
| 55.56% | 9 | 4.7 | 722 | 11,566 | 50.0% | 57.1% | |
| 55.56% | 9 | 5.9 | 795 | 6,997 | 83.3% | 0.0% | |
| 22.22% | 9 | 1.5 | 520 | 10,413 | 16.7% | 33.3% | |
| 33.33% | 9 | 2.1 | 683 | 10,251 | 50.0% | 20.0% | |
| 66.67% | 9 | 3.5 | 805 | 8,555 | 60.0% | 75.0% | |
| 75.00% | 8 | 0.8 | 526 | 10,362 | 50.0% | 100.0% | |
| 75.00% | 8 | 2.9 | 725 | 12,181 | 100.0% | 66.7% | |
| 50.00% | 8 | 1.7 | 623 | 13,119 | 0.0% | 50.0% | |
| 75.00% | 8 | 2.3 | 690 | 14,349 | 100.0% | 71.4% | |
| 50.00% | 8 | 3.9 | 707 | 9,741 | 60.0% | 33.3% | |
| 75.00% | 8 | 5.8 | 797 | 10,713 | 80.0% | 66.7% | |
| 50.00% | 8 | 2.5 | 790 | 11,603 | 50.0% | 50.0% | |
| 75.00% | 8 | 3.6 | 894 | 12,076 | 100.0% | 60.0% | |
| 25.00% | 8 | 2.3 | 659 | 8,601 | 50.0% | 0.0% | |
| 28.57% | 7 | 3.7 | 767 | 10,203 | 25.0% | 33.3% | |
| 42.86% | 7 | 5.8 | 735 | 11,198 | 66.7% | 25.0% | |
| 42.86% | 7 | 1.0 | 587 | 11,816 | 33.3% | 50.0% | |
| 71.43% | 7 | 4.6 | 631 | 7,695 | 75.0% | 66.7% | |
| 57.14% | 7 | 4.1 | 574 | 9,819 | 50.0% | 60.0% | |
| 66.67% | 6 | 3.5 | 603 | 9,317 | 66.7% | 66.7% | |
| 33.33% | 6 | 3.7 | 640 | 10,105 | 50.0% | 0.0% | |
| 50.00% | 6 | 2.9 | 825 | 11,652 | 50.0% | 50.0% | |
| 16.67% | 6 | 1.6 | 606 | 10,833 | 50.0% | 0.0% | |
| 66.67% | 6 | 1.2 | 691 | 13,098 | 50.0% | 75.0% | |
| 50.00% | 6 | 5.3 | 717 | 13,393 | 0.0% | 50.0% | |
| 66.67% | 6 | 1.5 | 620 | 10,530 | 100.0% | 50.0% | |
| 33.33% | 6 | 4.1 | 591 | 11,842 | 0.0% | 40.0% | |
| 50.00% | 6 | 6.2 | 826 | 10,331 | 50.0% | 50.0% | |
| 66.67% | 6 | 1.1 | 524 | 11,122 | 50.0% | 75.0% | |
| 40.00% | 5 | 3.9 | 781 | 8,709 | 50.0% | 33.3% | |
| 60.00% | 5 | 1.7 | 663 | 10,724 | 50.0% | 66.7% | |
| 60.00% | 5 | 3.9 | 934 | 11,264 | 0.0% | 100.0% | |
| 60.00% | 5 | 2.7 | 653 | 10,968 | 100.0% | 33.3% | |
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Morgana vs Olaf - Frequently Asked Questions
How does Morgana do against Olaf in League of Legends?
Morgana wins the Morgana vs Olaf matchup with a 60.0% win rate compared to Olaf's 40.0%, a 20.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.10.
How does Morgana do against Olaf in the early game?
In the early game, Olaf has the advantage against Morgana with a 100.0% win rate versus 0.0%. Olaf players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Morgana do against Olaf in the late game?
In the late game, Morgana takes over the Morgana vs Olaf matchup with a 100.0% win rate compared to 0.0%. Morgana scales better into team fights and objective contests after 25 minutes.
Who wins the Morgana vs Olaf matchup?
Morgana wins the matchup against Olaf with a 60.0% win rate in League of Legends patch 26.10. The 20.0 percentage point advantage means Morgana is significantly favored in this lane matchup based on 5 games analyzed.
What is the best Morgana build against Olaf?
The best Morgana build against Olaf includes Bloodletter's Curse, Liandry's Torment, Zhonya's Hourglass with Sorcerer'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 Olaf?
The best Morgana runes against Olaf use the Domination primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Morgana vs Olaf matchup. See the full rune breakdown in the matchup comparison above.
Does Morgana counter Olaf?
Yes, Morgana has a favorable matchup against Olaf with a 60.0% win rate. Morgana strongly counters Olaf in lane based on current patch 26.10 data.
How do I play Morgana against Olaf?
When playing Morgana against Olaf, leverage your statistical advantages by trading aggressively during favorable windows. Play safe early and scale into your power spikes where you outperform Olaf. Build the recommended items and runes for this specific matchup for the best results.