
Morgana vs Caitlyn is a decisive matchup in LoL patch 26.17. Morgana wins with a 60.0% win rate (+20.0%) over Caitlyn based on 5 games. Morgana wins the early laning phase while Caitlyn scales better into the late game. Below you'll find the best Morgana build, runes, laning stats, and strategies for the Morgana vs Caitlyn 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 Caitlyn 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 Caitlyn's 40.0%, giving Morgana a 20.0 percentage point advantage. Game phase dynamics play a critical role here: Morgana controls the early laning stage, but Caitlyn outscales as the game goes longer. The matchup shifts dramatically depending on game length — Morgana needs to press advantages before Caitlyn reaches their power spikes, while Caitlyn 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 Caitlyn and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Caitlyn away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Caitlyn is favored during the laning phase against Morgana, winning 3 out of 5 key stat categories. Caitlyn holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Ionian Boots of Lucidity is the optimal boots choice against Caitlyn, providing the mobility and stats Morgana needs most in this matchup. The top-performing core items for Morgana against Caitlyn are Liandry's Torment, Morellonomicon and Blackfire Torch. 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 Caitlyn matchup.
Morgana dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Caitlyn. This lopsided early game means Morgana can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Caitlyn is far superior in the late game (25+ minutes), boasting a 100.0% win rate — 100.0 points above Morgana. Extended games heavily favor Caitlyn, 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 Caitlyn reaches their scaling breakpoints. If Caitlyn 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.
Running Precision primary with Sorcery secondary allows Morgana to press their advantage against Caitlyn, amplifying the strengths that make this a favorable matchup.
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 |
|---|---|---|---|---|---|---|---|
| 54.49% | 356 | 1.9 | 554 | 9,841 | 51.1% | 56.6% | |
| 48.54% | 309 | 1.8 | 566 | 9,658 | 47.7% | 49.2% | |
| 48.00% | 250 | 1.6 | 591 | 9,305 | 49.6% | 46.7% | |
| 54.50% | 211 | 1.7 | 607 | 9,733 | 57.5% | 52.1% | |
| 51.38% | 181 | 1.7 | 614 | 9,571 | 57.9% | 46.7% | |
| 47.47% | 158 | 1.8 | 592 | 9,799 | 52.3% | 44.1% | |
| 49.19% | 124 | 1.7 | 570 | 9,729 | 41.8% | 55.1% | |
| 49.15% | 118 | 1.8 | 553 | 9,804 | 47.8% | 50.0% | |
| 44.07% | 118 | 1.8 | 565 | 9,778 | 45.3% | 43.1% | |
| 54.39% | 114 | 1.6 | 543 | 8,468 | 55.0% | 53.7% | |
| 47.12% | 104 | 1.9 | 626 | 10,495 | 38.2% | 51.4% | |
| 51.02% | 98 | 1.7 | 655 | 9,561 | 48.9% | 52.8% | |
| 52.13% | 94 | 1.6 | 576 | 9,732 | 45.8% | 58.7% | |
| 55.56% | 90 | 1.6 | 520 | 8,991 | 60.9% | 50.0% | |
| 51.16% | 86 | 1.6 | 640 | 9,964 | 50.0% | 51.9% | |
| 48.84% | 86 | 2.6 | 623 | 9,415 | 37.2% | 60.5% | |
| 47.62% | 84 | 1.8 | 603 | 10,316 | 50.0% | 45.8% | |
| 55.42% | 83 | 1.9 | 482 | 9,355 | 54.0% | 56.5% | |
| 46.99% | 83 | 2.3 | 589 | 9,475 | 44.1% | 49.0% | |
| 52.50% | 80 | 1.6 | 527 | 9,605 | 64.7% | 43.5% | |
| 50.00% | 78 | 2.0 | 602 | 9,835 | 44.4% | 54.8% | |
| 58.67% | 75 | 1.9 | 757 | 9,689 | 50.0% | 66.7% | |
| 35.21% | 71 | 1.6 | 566 | 9,761 | 46.4% | 27.9% | |
| 51.43% | 70 | 1.8 | 582 | 9,819 | 53.9% | 50.0% | |
| 49.23% | 65 | 1.6 | 652 | 10,553 | 56.0% | 45.0% | |
| 55.36% | 56 | 1.7 | 555 | 9,938 | 47.1% | 59.0% | |
| 56.36% | 55 | 1.8 | 586 | 10,113 | 52.2% | 59.4% | |
| 42.59% | 54 | 1.5 | 498 | 9,020 | 30.0% | 50.0% | |
| 47.17% | 53 | 1.6 | 630 | 9,777 | 50.0% | 45.2% | |
| 60.78% | 51 | 1.7 | 635 | 9,703 | 63.2% | 59.4% | |
| 60.00% | 45 | 2.1 | 580 | 10,367 | 66.7% | 57.6% | |
| 56.10% | 41 | 1.5 | 612 | 9,523 | 50.0% | 60.0% | |
| 62.50% | 40 | 2.7 | 699 | 11,162 | 83.3% | 53.6% | |
| 45.00% | 40 | 1.9 | 591 | 9,882 | 42.1% | 47.6% | |
| 37.84% | 37 | 2.4 | 603 | 10,463 | 41.7% | 36.0% | |
| 50.00% | 36 | 1.8 | 656 | 9,539 | 55.6% | 44.4% | |
| 69.70% | 33 | 1.9 | 614 | 10,898 | 75.0% | 66.7% | |
| 58.06% | 31 | 1.8 | 632 | 10,163 | 78.6% | 41.2% | |
| 58.06% | 31 | 5.3 | 783 | 9,706 | 58.8% | 57.1% | |
| 63.33% | 30 | 1.9 | 648 | 10,404 | 53.9% | 70.6% | |
| 51.72% | 29 | 5.7 | 880 | 12,144 | 62.5% | 47.6% | |
| 51.72% | 29 | 2.1 | 540 | 10,483 | 42.9% | 60.0% | |
| 52.00% | 25 | 5.6 | 714 | 10,536 | 25.0% | 76.9% | |
| 58.33% | 24 | 3.8 | 798 | 11,345 | 62.5% | 56.3% | |
| 62.50% | 24 | 2.5 | 529 | 10,253 | 50.0% | 71.4% | |
| 54.55% | 22 | 1.4 | 603 | 11,172 | 20.0% | 64.7% | |
| 45.00% | 20 | 2.4 | 588 | 9,938 | 50.0% | 40.0% | |
| 50.00% | 18 | 1.5 | 609 | 9,390 | 33.3% | 58.3% | |
| 61.11% | 18 | 5.4 | 789 | 12,543 | 50.0% | 66.7% | |
| 75.00% | 16 | 2.3 | 636 | 10,284 | 62.5% | 87.5% | |
| 60.00% | 15 | 4.4 | 759 | 11,161 | 80.0% | 50.0% | |
| 46.67% | 15 | 1.4 | 584 | 10,599 | 20.0% | 60.0% | |
| 57.14% | 14 | 4.7 | 804 | 12,033 | 75.0% | 50.0% | |
| 53.85% | 13 | 4.4 | 638 | 10,725 | 50.0% | 57.1% | |
| 30.77% | 13 | 5.4 | 663 | 8,404 | 22.2% | 50.0% | |
| 15.38% | 13 | 3.2 | 773 | 9,126 | 0.0% | 28.6% | |
| 46.15% | 13 | 4.3 | 759 | 11,589 | 100.0% | 30.0% | |
| 58.33% | 12 | 5.8 | 778 | 11,557 | 50.0% | 62.5% | |
| 50.00% | 12 | 1.8 | 643 | 10,080 | 50.0% | 50.0% | |
| 50.00% | 12 | 3.1 | 693 | 9,321 | 71.4% | 20.0% | |
| 58.33% | 12 | 6.0 | 905 | 10,761 | 75.0% | 50.0% | |
| 81.82% | 11 | 1.4 | 597 | 8,216 | 100.0% | 50.0% | |
| 54.55% | 11 | 3.7 | 715 | 10,520 | 40.0% | 66.7% | |
| 36.36% | 11 | 1.4 | 753 | 13,349 | 0.0% | 44.4% | |
| 45.45% | 11 | 2.3 | 791 | 11,272 | 50.0% | 40.0% | |
| 60.00% | 10 | 1.5 | 575 | 10,755 | 50.0% | 66.7% | |
| 60.00% | 10 | 0.8 | 561 | 11,932 | 100.0% | 50.0% | |
| 40.00% | 10 | 3.0 | 535 | 8,195 | 33.3% | 50.0% | |
| 30.00% | 10 | 1.1 | 610 | 10,981 | 16.7% | 50.0% | |
| 50.00% | 10 | 4.8 | 875 | 10,342 | 66.7% | 42.9% | |
| 90.00% | 10 | 3.9 | 791 | 11,483 | 100.0% | 83.3% | |
| 60.00% | 10 | 5.4 | 696 | 10,306 | 60.0% | 60.0% | |
| 44.44% | 9 | 3.8 | 759 | 10,215 | 60.0% | 25.0% | |
| 88.89% | 9 | 3.3 | 825 | 12,068 | 75.0% | 100.0% | |
| 22.22% | 9 | 5.3 | 705 | 9,519 | 33.3% | 16.7% | |
| 77.78% | 9 | 4.6 | 784 | 12,958 | 100.0% | 71.4% | |
| 77.78% | 9 | 2.7 | 671 | 12,163 | 100.0% | 66.7% | |
| 66.67% | 9 | 1.9 | 645 | 11,429 | 50.0% | 71.4% | |
| 66.67% | 9 | 5.8 | 750 | 11,016 | 50.0% | 80.0% | |
| 22.22% | 9 | 1.4 | 613 | 11,347 | 40.0% | 0.0% | |
| 50.00% | 8 | 2.6 | 754 | 10,539 | 100.0% | 33.3% | |
| 37.50% | 8 | 1.4 | 616 | 10,757 | 100.0% | 0.0% | |
| 25.00% | 8 | 1.1 | 760 | 11,890 | 33.3% | 20.0% | |
| 75.00% | 8 | 5.7 | 681 | 10,840 | 66.7% | 80.0% | |
| 75.00% | 8 | 4.5 | 689 | 9,809 | 100.0% | 60.0% | |
| 50.00% | 8 | 2.1 | 779 | 13,404 | 100.0% | 20.0% | |
| 87.50% | 8 | 1.9 | 636 | 11,186 | 100.0% | 83.3% | |
| 57.14% | 7 | 1.6 | 666 | 12,399 | 100.0% | 40.0% | |
| 57.14% | 7 | 1.3 | 800 | 11,914 | 100.0% | 40.0% | |
| 42.86% | 7 | 1.1 | 555 | 13,396 | 100.0% | 33.3% | |
| 57.14% | 7 | 4.9 | 660 | 8,476 | 40.0% | 100.0% | |
| 42.86% | 7 | 3.2 | 814 | 11,986 | 40.0% | 50.0% | |
| 28.57% | 7 | 2.3 | 678 | 10,254 | 40.0% | 0.0% | |
| 14.29% | 7 | 4.8 | 785 | 11,157 | 25.0% | 0.0% | |
| 50.00% | 6 | 1.1 | 829 | 11,031 | 33.3% | 66.7% | |
| 100.00% | 6 | 2.2 | 655 | 12,461 | 100.0% | 100.0% | |
| 50.00% | 6 | 2.3 | 771 | 13,039 | 0.0% | 75.0% | |
| 50.00% | 6 | 3.3 | 688 | 10,701 | 50.0% | 50.0% | |
| 50.00% | 6 | 5.4 | 715 | 10,588 | 66.7% | 33.3% | |
| 66.67% | 6 | 1.6 | 585 | 12,064 | 100.0% | 50.0% | |
| 50.00% | 6 | 4.9 | 626 | 10,447 | 50.0% | 50.0% | |
| 20.00% | 5 | 2.7 | 585 | 8,957 | 33.3% | 0.0% | |
| 60.00% | 5 | 1.9 | 592 | 11,043 | 100.0% | 50.0% | |
| 80.00% | 5 | 1.5 | 659 | 9,775 | 100.0% | 66.7% | |
| 40.00% | 5 | 6.6 | 744 | 10,213 | 33.3% | 50.0% | |
| 40.00% | 5 | 3.5 | 521 | 6,617 | 33.3% | 50.0% | |
| 80.00% | 5 | 1.1 | 774 | 10,902 | 100.0% | 66.7% | |
| 60.00% | 5 | 1.6 | 636 | 11,514 | 0.0% | 60.0% | |
| 20.00% | 5 | 0.9 | 741 | 11,127 | 33.3% | 0.0% | |
| 40.00% | 5 | 1.2 | 727 | 11,405 | 50.0% | 33.3% | |
| 40.00% | 5 | 5.7 | 880 | 11,937 | 0.0% | 50.0% | |
| 80.00% | 5 | 4.3 | 731 | 10,911 | 100.0% | 50.0% | |
| 80.00% | 5 | 0.4 | 649 | 8,791 | 66.7% | 100.0% | |
| 40.00% | 5 | 4.9 | 695 | 11,171 | 50.0% | 33.3% | |
| 20.00% | 5 | 4.4 | 448 | 7,722 | 33.3% | 0.0% | |
| 40.00% | 5 | 5.3 | 790 | 10,091 | 66.7% | 0.0% | |
| 60.00% | 5 | 4.6 | 654 | 11,065 | 100.0% | 0.0% | |
| 60.00% | 5 | 5.6 | 993 | 11,898 | 100.0% | 50.0% | |
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Morgana wins the Morgana vs Caitlyn matchup with a 60.0% win rate compared to Caitlyn's 40.0%, a 20.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.17.
In the early game, Morgana has the advantage against Caitlyn 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.
In the late game, Caitlyn takes over the Morgana vs Caitlyn matchup with a 100.0% win rate compared to 0.0%. Caitlyn scales better into team fights and objective contests after 25 minutes.
Morgana wins the matchup against Caitlyn with a 60.0% win rate in League of Legends patch 26.17. The 20.0 percentage point advantage means Morgana is significantly favored in this lane matchup based on 5 games analyzed.
The best Morgana build against Caitlyn includes Liandry's Torment, Morellonomicon, Blackfire Torch with Ionian Boots of Lucidity. Check the matchup breakdown above for the full item path and build order.
The best Morgana runes against Caitlyn use the Precision primary tree with Sorcery secondary. This rune setup achieves a 100.0% win rate in the Morgana vs Caitlyn matchup. See the full rune breakdown in the matchup comparison above.
Yes, Morgana has a favorable matchup against Caitlyn with a 60.0% win rate. Morgana strongly counters Caitlyn in lane based on current patch 26.17 data.
When playing Morgana against Caitlyn, 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.
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