Morganavs Olaf
Morgana vs Olaf is a decisive matchup in LoL patch 26.4. Olaf wins with a 60.0% win rate (+20.0%) over Morgana based on 5 games. Morgana wins the early laning phase while Olaf 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(40.0%)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, Olaf wins with a 60.0% win rate compared to Morgana's 40.0%, giving Olaf a 20.0 percentage point advantage. Game phase dynamics play a critical role here: Morgana controls the early laning stage, but Olaf outscales as the game goes longer. The matchup shifts dramatically depending on game length — Morgana needs to press advantages before Olaf reaches their power spikes, while Olaf should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Morgana leads by 1.9s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Olaf 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 Olaf 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.
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 Luden's Echo, Liandry's Torment and Zhonya's Hourglass. This combination gives Morgana an effective balance of damage, survivability, and utility for the matchup. 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
Morgana100.0%Olaf0.0%Morgana0.0%Olaf100.0%Morgana dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Olaf. This lopsided early game means Morgana can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Olaf is far superior in the late game (25+ minutes), boasting a 100.0% win rate — 100.0 points above Morgana. Extended games heavily favor Olaf, 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 Olaf reaches their scaling breakpoints. If Olaf 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
Sorcery
Inspiration
The Sorcery and Inspiration rune setup gives Morgana the best tools to compete against Olaf in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
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 Olaf - Frequently Asked Questions
How does Morgana do against Olaf in League of Legends?
Olaf wins the Morgana vs Olaf matchup with a 60.0% win rate compared to Morgana's 40.0%, a 20.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.4.
How does Morgana do against Olaf in the early game?
In the early game, Morgana has the advantage against Olaf with a 100.0% win rate versus 0.0%. 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 Olaf in the late game?
In the late game, Olaf takes over the Morgana vs Olaf matchup with a 100.0% win rate compared to 0.0%. Olaf scales better into team fights and objective contests after 25 minutes.
Who wins the Morgana vs Olaf matchup?
Olaf wins the matchup against Morgana with a 60.0% win rate in League of Legends patch 26.4. The 20.0 percentage point advantage means Olaf 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 Luden's Echo, Liandry's Torment, Zhonya's Hourglass with Sorcerer's Shoes. 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 Sorcery 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?
No, Morgana struggles against Olaf with only a 40.0% win rate. Olaf has the advantage in this matchup. Morgana players should focus on safe farming and avoiding extended trades to minimize Olaf's lead.
How do I play Morgana against Olaf?
When playing Morgana against Olaf, play cautiously and avoid Olaf's power spikes. Look for jungle assistance and team-dependent plays since Olaf has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.