Poppyvs Morgana
Poppy vs Morgana is a decisive matchup in LoL patch 26.3. Poppy wins with a 52.6% win rate (+5.3%) over Morgana based on 57 games. Poppy holds the advantage in both the early and late game. Below you'll find the best Poppy build, runes, laning stats, and strategies for the Poppy vs Morgana matchup.
Poppy Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Poppy 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.
Morgana(52.6%)Who Wins the Poppy vs Morgana Matchup?
Poppy vs Morgana Matchup Summary
The Poppy vs Morgana matchup is a moderate matchup in League of Legends ranked play. Based on 57 recent matches analyzed, Poppy wins with a 52.6% win rate compared to Morgana's 47.4%, giving Poppy a 5.3 percentage point advantage. Poppy dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Morgana players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in sustain, where Poppy leads by 738 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Poppy has a statistical edge, but the margin is close enough that respecting Morgana's strengths is important. Trade when cooldowns are favorable, track the enemy jungler, and build toward your strongest item spikes to convert the slight advantage into a decisive lead. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Poppy vs Morgana Laning Phase Breakdown
Morgana is favored during the laning phase against Poppy, winning 3 out of 5 key stat categories. Morgana holds advantages in farming, damage and crowd control, making them the stronger laner in this matchup.
Best Poppy Build Against Morgana
Boots of Swiftness is the optimal boots choice against Morgana, providing the mobility and stats Poppy needs most in this matchup. The top-performing core items for Poppy against Morgana are Force of Nature, Dead Man's Plate and Thornmail. This combination gives Poppy an effective balance of damage, survivability, and utility for the matchup. This build achieves a solid 50.0% win rate across 4 games, proving it to be a reliable item path when facing Morgana. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Poppy vs Morgana matchup.
Early Game vs Late Game
Poppy54.2%Morgana45.8%Poppy51.5%Morgana48.5%Poppy dominates the early game (first 15 minutes) with a commanding 54.2% win rate — a 8.3 percentage point lead over Morgana. This lopsided early game means Poppy can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
In the late game (25+ minutes), Poppy takes over with a 51.5% win rate, leading Morgana by 3.0 percentage points. Poppy scales more effectively into team fights and objective contests.
Poppy holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Morgana players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Poppy Runes Against Morgana
Resolve
Inspiration
Running Resolve primary with Inspiration secondary allows Poppy to press their advantage against Morgana, amplifying the strengths that make this a favorable matchup.
Poppy matchup data for League of Legends patch 26.3. The table below shows Poppy'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 Poppy 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 |
|---|---|---|---|---|---|---|---|
| 53.54% | 99 | 1.3 | 488 | 9,497 | 46.3% | 58.6% | |
| 56.47% | 85 | 1.4 | 508 | 10,038 | 58.1% | 55.6% | |
| 48.05% | 77 | 1.2 | 462 | 9,634 | 43.8% | 51.1% | |
| 55.84% | 77 | 1.3 | 493 | 9,587 | 60.6% | 52.3% | |
| 38.89% | 72 | 1.4 | 490 | 9,177 | 43.2% | 34.3% | |
| 67.21% | 61 | 1.3 | 573 | 10,609 | 65.5% | 68.8% | |
| 54.24% | 59 | 1.3 | 520 | 10,384 | 61.5% | 48.5% | |
| 44.83% | 58 | 2.4 | 635 | 9,535 | 40.7% | 48.4% | |
| 52.63% | 57 | 1.4 | 515 | 9,978 | 54.2% | 51.5% | |
| 42.11% | 57 | 1.3 | 486 | 9,391 | 50.0% | 35.5% | |
| 44.00% | 50 | 2.5 | 613 | 10,379 | 43.5% | 44.4% | |
| 63.83% | 47 | 1.2 | 461 | 9,192 | 65.2% | 62.5% | |
| 48.94% | 47 | 1.4 | 463 | 8,886 | 59.1% | 40.0% | |
| 43.48% | 46 | 0.8 | 595 | 12,724 | 43.8% | 43.3% | |
| 38.64% | 44 | 1.4 | 459 | 8,729 | 50.0% | 29.2% | |
| 40.91% | 44 | 4.9 | 806 | 10,575 | 40.9% | 40.9% | |
| 45.45% | 44 | 4.2 | 847 | 11,586 | 61.1% | 34.6% | |
| 45.24% | 42 | 3.9 | 774 | 10,646 | 45.5% | 45.0% | |
| 38.46% | 39 | 1.3 | 521 | 9,358 | 50.0% | 30.4% | |
| 36.84% | 38 | 1.7 | 562 | 10,259 | 23.1% | 44.0% | |
| 50.00% | 38 | 1.3 | 568 | 9,126 | 53.9% | 41.7% | |
| 59.46% | 37 | 1.1 | 500 | 10,026 | 68.8% | 52.4% | |
| 50.00% | 34 | 3.6 | 960 | 11,423 | 60.0% | 45.8% | |
| 50.00% | 34 | 6.0 | 805 | 11,380 | 43.8% | 55.6% | |
| 55.88% | 34 | 5.8 | 900 | 11,401 | 64.7% | 47.1% | |
| 61.76% | 34 | 5.0 | 831 | 10,580 | 56.3% | 66.7% | |
| 58.82% | 34 | 1.1 | 505 | 9,205 | 60.0% | 57.1% | |
| 45.45% | 33 | 1.2 | 539 | 10,586 | 50.0% | 43.5% | |
| 42.42% | 33 | 3.8 | 742 | 11,946 | 40.0% | 43.5% | |
| 51.52% | 33 | 5.3 | 718 | 10,673 | 42.9% | 57.9% | |
| 65.63% | 32 | 1.3 | 540 | 9,781 | 69.2% | 63.2% | |
| 58.06% | 31 | 4.7 | 604 | 10,214 | 58.8% | 57.1% | |
| 38.71% | 31 | 1.3 | 419 | 8,357 | 40.0% | 36.4% | |
| 37.93% | 29 | 1.6 | 470 | 10,038 | 45.5% | 33.3% | |
| 50.00% | 28 | 1.1 | 499 | 9,216 | 46.7% | 53.9% | |
| 62.96% | 27 | 5.8 | 754 | 10,344 | 53.3% | 75.0% | |
| 53.85% | 26 | 5.2 | 698 | 11,122 | 44.4% | 58.8% | |
| 57.69% | 26 | 1.6 | 478 | 10,327 | 40.0% | 68.8% | |
| 53.85% | 26 | 1.4 | 475 | 9,363 | 50.0% | 58.3% | |
| 52.00% | 25 | 5.7 | 885 | 11,315 | 60.0% | 40.0% | |
| 33.33% | 24 | 5.2 | 840 | 10,886 | 36.4% | 30.8% | |
| 43.48% | 23 | 5.8 | 749 | 10,685 | 75.0% | 26.7% | |
| 52.17% | 23 | 1.0 | 661 | 12,353 | 60.0% | 46.1% | |
| 43.48% | 23 | 2.0 | 564 | 11,862 | 44.4% | 42.9% | |
| 40.91% | 22 | 4.6 | 560 | 12,081 | 57.1% | 33.3% | |
| 50.00% | 22 | 6.1 | 754 | 12,241 | 62.5% | 42.9% | |
| 36.36% | 22 | 2.0 | 609 | 11,500 | 22.2% | 46.1% | |
| 63.64% | 22 | 1.4 | 550 | 9,584 | 71.4% | 60.0% | |
| 54.55% | 22 | 1.4 | 449 | 9,166 | 50.0% | 58.3% | |
| 50.00% | 22 | 5.6 | 760 | 9,588 | 58.3% | 40.0% | |
| 50.00% | 22 | 1.3 | 528 | 9,793 | 45.5% | 54.5% | |
| 47.62% | 21 | 4.4 | 847 | 10,163 | 33.3% | 58.3% | |
| 38.10% | 21 | 2.4 | 712 | 11,276 | 40.0% | 36.4% | |
| 47.62% | 21 | 4.9 | 722 | 11,165 | 55.6% | 41.7% | |
| 52.38% | 21 | 1.7 | 496 | 9,872 | 75.0% | 22.2% | |
| 65.00% | 20 | 1.3 | 677 | 11,966 | 77.8% | 54.5% | |
| 57.89% | 19 | 2.1 | 628 | 11,317 | 50.0% | 61.5% | |
| 63.16% | 19 | 6.2 | 864 | 11,998 | 66.7% | 60.0% | |
| 63.16% | 19 | 3.8 | 745 | 10,995 | 77.8% | 50.0% | |
| 44.44% | 18 | 1.2 | 661 | 11,680 | 40.0% | 50.0% | |
| 33.33% | 18 | 1.5 | 519 | 9,697 | 33.3% | 33.3% | |
| 38.89% | 18 | 2.2 | 576 | 9,797 | 33.3% | 44.4% | |
| 61.11% | 18 | 1.0 | 601 | 11,463 | 71.4% | 54.5% | |
| 50.00% | 18 | 5.8 | 756 | 10,489 | 55.6% | 44.4% | |
| 29.41% | 17 | 5.0 | 780 | 11,885 | 28.6% | 30.0% | |
| 35.29% | 17 | 4.5 | 662 | 9,626 | 57.1% | 20.0% | |
| 29.41% | 17 | 1.3 | 407 | 9,356 | 25.0% | 33.3% | |
| 52.94% | 17 | 1.8 | 663 | 13,673 | 100.0% | 46.7% | |
| 70.59% | 17 | 1.0 | 623 | 14,089 | 42.9% | 90.0% | |
| 64.71% | 17 | 1.1 | 714 | 10,952 | 75.0% | 55.6% | |
| 31.25% | 16 | 1.3 | 687 | 12,044 | 0.0% | 45.5% | |
| 37.50% | 16 | 5.1 | 719 | 12,184 | 50.0% | 30.0% | |
| 31.25% | 16 | 0.8 | 517 | 10,160 | 20.0% | 50.0% | |
| 53.33% | 15 | 1.5 | 497 | 9,885 | 66.7% | 33.3% | |
| 33.33% | 15 | 0.9 | 546 | 10,038 | 40.0% | 20.0% | |
| 28.57% | 14 | 5.8 | 915 | 11,012 | 33.3% | 25.0% | |
| 46.15% | 13 | 1.5 | 506 | 9,225 | 60.0% | 37.5% | |
| 61.54% | 13 | 1.3 | 552 | 9,343 | 57.1% | 66.7% | |
| 53.85% | 13 | 0.8 | 597 | 11,250 | 57.1% | 50.0% | |
| 46.15% | 13 | 4.7 | 468 | 9,945 | 33.3% | 57.1% | |
| 41.67% | 12 | 1.4 | 536 | 12,190 | 33.3% | 44.4% | |
| 41.67% | 12 | 5.5 | 726 | 11,369 | 60.0% | 28.6% | |
| 16.67% | 12 | 4.9 | 749 | 10,768 | 0.0% | 28.6% | |
| 45.45% | 11 | 1.8 | 633 | 9,862 | 28.6% | 75.0% | |
| 63.64% | 11 | 5.9 | 836 | 13,059 | 100.0% | 50.0% | |
| 72.73% | 11 | 5.8 | 889 | 12,436 | 80.0% | 66.7% | |
| 54.55% | 11 | 0.7 | 536 | 11,564 | 66.7% | 40.0% | |
| 20.00% | 10 | 2.6 | 941 | 12,063 | 0.0% | 40.0% | |
| 70.00% | 10 | 6.4 | 881 | 10,716 | 71.4% | 66.7% | |
| 60.00% | 10 | 5.8 | 835 | 10,929 | 80.0% | 40.0% | |
| 40.00% | 10 | 1.4 | 571 | 12,047 | 50.0% | 33.3% | |
| 60.00% | 10 | 0.7 | 612 | 12,160 | 60.0% | 60.0% | |
| 70.00% | 10 | 5.3 | 732 | 11,081 | 66.7% | 75.0% | |
| 55.56% | 9 | 1.0 | 657 | 11,008 | 60.0% | 50.0% | |
| 55.56% | 9 | 3.9 | 718 | 10,297 | 50.0% | 66.7% | |
| 100.00% | 8 | 5.5 | 655 | 8,935 | 100.0% | 0.0% | |
| 50.00% | 8 | 6.0 | 1,319 | 10,485 | 25.0% | 75.0% | |
| 12.50% | 8 | 0.7 | 573 | 12,177 | 33.3% | 0.0% | |
| 25.00% | 8 | 5.3 | 802 | 11,770 | 50.0% | 16.7% | |
| 50.00% | 8 | 1.7 | 587 | 13,041 | 50.0% | 50.0% | |
| 62.50% | 8 | 2.1 | 486 | 9,706 | 50.0% | 75.0% | |
| 42.86% | 7 | 4.8 | 447 | 9,721 | 0.0% | 75.0% | |
| 50.00% | 6 | 2.8 | 577 | 11,920 | 0.0% | 60.0% | |
| 66.67% | 6 | 6.0 | 539 | 9,620 | 100.0% | 33.3% | |
| 50.00% | 6 | 4.7 | 684 | 8,939 | 50.0% | 50.0% | |
| 100.00% | 6 | 5.7 | 966 | 12,647 | 100.0% | 100.0% | |
| 33.33% | 6 | 0.9 | 639 | 11,258 | 25.0% | 50.0% | |
| 66.67% | 6 | 3.9 | 604 | 9,771 | 50.0% | 100.0% | |
| 33.33% | 6 | 3.1 | 844 | 13,809 | 50.0% | 25.0% | |
| 40.00% | 5 | 1.1 | 369 | 8,098 | 0.0% | 100.0% | |
| 60.00% | 5 | 6.2 | 921 | 13,268 | 0.0% | 75.0% | |
| 40.00% | 5 | 4.9 | 677 | 12,570 | 0.0% | 50.0% | |
| 80.00% | 5 | 5.8 | 555 | 10,004 | 66.7% | 100.0% | |
| 0.00% | 5 | 4.0 | 901 | 11,486 | 0.0% | 0.0% | |
| 40.00% | 5 | 2.1 | 863 | 15,246 | 0.0% | 40.0% | |
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Poppy vs Morgana - Frequently Asked Questions
How does Poppy do against Morgana in League of Legends?
Poppy wins the Poppy vs Morgana matchup with a 52.6% win rate compared to Morgana's 47.4%, a 5.3 percentage point difference. This data is based on 57 recent ranked games in patch 26.3.
How does Poppy do against Morgana in the early game?
In the early game, Poppy has the advantage against Morgana with a 54.2% win rate versus 45.8%. Poppy players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Poppy do against Morgana in the late game?
In the late game, Poppy takes over the Poppy vs Morgana matchup with a 51.5% win rate compared to 48.5%. Poppy scales better into team fights and objective contests after 25 minutes.
Who wins the Poppy vs Morgana matchup?
Poppy wins the matchup against Morgana with a 52.6% win rate in League of Legends patch 26.3. The 5.3 percentage point advantage means Poppy is significantly favored in this lane matchup based on 57 games analyzed.
What is the best Poppy build against Morgana?
The best Poppy build against Morgana includes Force of Nature, Dead Man's Plate, Thornmail with Boots of Swiftness. This build achieves a 50.0% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Poppy runes against Morgana?
The best Poppy runes against Morgana use the Resolve primary tree with Inspiration secondary. This rune setup achieves a 66.7% win rate in the Poppy vs Morgana matchup. See the full rune breakdown in the matchup comparison above.
Does Poppy counter Morgana?
Yes, Poppy has a favorable matchup against Morgana with a 52.6% win rate. Poppy strongly counters Morgana in lane based on current patch 26.3 data.
How do I play Poppy against Morgana?
When playing Poppy against Morgana, 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.