
Poppyvs Gangplank
Poppy vs Gangplank is a decisive matchup in LoL patch 26.11. Poppy wins with a 60.0% win rate (+20.0%) over Gangplank based on 10 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 Gangplank 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.
Who Wins the Poppy vs Gangplank Matchup?

Poppy vs Gangplank Matchup Summary
The Poppy vs Gangplank matchup is a decisive matchup in League of Legends ranked play. Based on 10 recent matches analyzed, Poppy wins with a 60.0% win rate compared to Gangplank's 40.0%, giving Poppy a 20.0 percentage point advantage. Poppy dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Gangplank players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in crowd control, where Poppy leads by 0.9s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Poppy players can confidently pick into Gangplank and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Gangplank away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Poppy vs Gangplank Laning Phase Breakdown
Gangplank is favored during the laning phase against Poppy, winning 3 out of 5 key stat categories. Gangplank holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Poppy Build Against Gangplank
Plated Steelcaps is the optimal boots choice against Gangplank, providing the mobility and stats Poppy needs most in this matchup. The top-performing core items for Poppy against Gangplank are Sundered Sky, Fimbulwinter 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 2 games, proving it to be a reliable item path when facing Gangplank. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Poppy vs Gangplank matchup.
Early Game vs Late Game
Poppy dominates the early game (first 15 minutes) with a commanding 60.0% win rate — a 20.0 percentage point lead over Gangplank. This lopsided early game means Poppy can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Poppy is far superior in the late game (25+ minutes), boasting a 60.0% win rate — 20.0 points above Gangplank. Extended games heavily favor Poppy, whose kit and scaling make them a dominant force in team fights and objective control.
Poppy holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Gangplank players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Poppy Runes Against Gangplank
Running Resolve primary with Precision secondary allows Poppy to press their advantage against Gangplank, amplifying the strengths that make this a favorable matchup.
Poppy matchup data for League of Legends patch 26.11. 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 |
|---|---|---|---|---|---|---|---|
| 47.19% | 89 | 1.2 | 501 | 9,471 | 52.5% | 42.9% | |
| 48.24% | 85 | 1.3 | 530 | 9,614 | 55.6% | 42.9% | |
| 50.59% | 85 | 1.3 | 494 | 9,470 | 46.7% | 55.0% | |
| 43.84% | 73 | 1.3 | 482 | 9,220 | 43.2% | 44.4% | |
| 39.44% | 71 | 1.4 | 494 | 8,840 | 32.4% | 46.0% | |
| 60.38% | 53 | 1.4 | 502 | 10,217 | 81.0% | 46.9% | |
| 51.92% | 52 | 1.2 | 460 | 9,500 | 52.4% | 51.6% | |
| 46.67% | 45 | 2.3 | 579 | 10,190 | 55.6% | 40.7% | |
| 44.19% | 43 | 1.3 | 547 | 9,601 | 29.4% | 53.9% | |
| 46.51% | 43 | 1.3 | 442 | 8,675 | 62.5% | 37.0% | |
| 42.86% | 42 | 1.4 | 472 | 8,284 | 52.2% | 31.6% | |
| 50.00% | 40 | 5.2 | 906 | 10,727 | 27.8% | 68.2% | |
| 45.95% | 37 | 1.4 | 494 | 8,730 | 60.0% | 29.4% | |
| 51.52% | 33 | 1.4 | 448 | 8,452 | 57.9% | 42.9% | |
| 39.39% | 33 | 1.6 | 488 | 9,402 | 21.4% | 52.6% | |
| 51.61% | 31 | 1.2 | 521 | 9,691 | 46.1% | 55.6% | |
| 43.33% | 30 | 1.7 | 618 | 9,138 | 50.0% | 38.9% | |
| 58.62% | 29 | 5.1 | 663 | 12,047 | 57.1% | 59.1% | |
| 31.03% | 29 | 1.2 | 519 | 9,340 | 23.1% | 37.5% | |
| 62.96% | 27 | 5.6 | 768 | 10,363 | 50.0% | 73.3% | |
| 51.85% | 27 | 1.2 | 535 | 10,062 | 33.3% | 61.1% | |
| 48.15% | 27 | 5.4 | 779 | 10,845 | 50.0% | 47.4% | |
| 34.62% | 26 | 3.4 | 700 | 10,832 | 23.1% | 46.1% | |
| 61.54% | 26 | 1.4 | 574 | 11,733 | 66.7% | 60.0% | |
| 42.31% | 26 | 4.5 | 745 | 11,021 | 40.0% | 43.8% | |
| 75.00% | 24 | 4.5 | 885 | 11,337 | 71.4% | 80.0% | |
| 41.67% | 24 | 5.7 | 762 | 11,250 | 50.0% | 37.5% | |
| 62.50% | 24 | 1.3 | 557 | 9,729 | 66.7% | 58.3% | |
| 50.00% | 24 | 1.2 | 447 | 8,900 | 27.3% | 69.2% | |
| 37.50% | 24 | 0.9 | 711 | 12,558 | 25.0% | 40.0% | |
| 45.83% | 24 | 5.5 | 715 | 10,885 | 35.7% | 60.0% | |
| 58.33% | 24 | 1.4 | 541 | 9,800 | 63.6% | 53.9% | |
| 50.00% | 24 | 1.4 | 545 | 10,329 | 50.0% | 50.0% | |
| 54.17% | 24 | 4.6 | 781 | 11,419 | 50.0% | 56.3% | |
| 30.43% | 23 | 6.2 | 709 | 9,377 | 25.0% | 36.4% | |
| 56.52% | 23 | 0.9 | 655 | 11,635 | 42.9% | 62.5% | |
| 45.45% | 22 | 1.4 | 454 | 9,136 | 45.5% | 45.5% | |
| 66.67% | 21 | 6.2 | 936 | 12,434 | 62.5% | 69.2% | |
| 38.10% | 21 | 3.0 | 681 | 10,131 | 41.7% | 33.3% | |
| 33.33% | 21 | 5.7 | 1,182 | 12,050 | 0.0% | 38.9% | |
| 52.38% | 21 | 2.5 | 733 | 11,831 | 55.6% | 50.0% | |
| 66.67% | 21 | 5.7 | 843 | 10,496 | 71.4% | 64.3% | |
| 61.90% | 21 | 5.7 | 847 | 10,174 | 50.0% | 69.2% | |
| 40.00% | 20 | 1.7 | 525 | 10,484 | 60.0% | 33.3% | |
| 45.00% | 20 | 5.6 | 966 | 11,242 | 50.0% | 40.0% | |
| 63.16% | 19 | 5.7 | 863 | 10,753 | 63.6% | 62.5% | |
| 31.58% | 19 | 1.9 | 605 | 9,894 | 36.4% | 25.0% | |
| 42.11% | 19 | 1.9 | 645 | 11,128 | 30.0% | 55.6% | |
| 57.89% | 19 | 5.0 | 863 | 10,157 | 58.3% | 57.1% | |
| 33.33% | 18 | 5.3 | 711 | 9,523 | 25.0% | 40.0% | |
| 50.00% | 18 | 5.7 | 797 | 10,721 | 50.0% | 50.0% | |
| 38.89% | 18 | 1.4 | 639 | 11,614 | 12.5% | 60.0% | |
| 61.11% | 18 | 5.3 | 827 | 10,943 | 50.0% | 75.0% | |
| 64.71% | 17 | 5.5 | 831 | 11,767 | 60.0% | 66.7% | |
| 76.47% | 17 | 5.1 | 840 | 10,911 | 77.8% | 75.0% | |
| 37.50% | 16 | 4.6 | 942 | 10,676 | 33.3% | 40.0% | |
| 62.50% | 16 | 3.7 | 914 | 10,579 | 71.4% | 55.6% | |
| 43.75% | 16 | 2.1 | 728 | 12,716 | 57.1% | 33.3% | |
| 31.25% | 16 | 5.5 | 687 | 9,566 | 50.0% | 12.5% | |
| 56.25% | 16 | 6.0 | 746 | 11,944 | 57.1% | 55.6% | |
| 60.00% | 15 | 5.8 | 862 | 10,669 | 77.8% | 33.3% | |
| 66.67% | 15 | 1.7 | 543 | 9,301 | 66.7% | 66.7% | |
| 50.00% | 14 | 1.4 | 433 | 9,692 | 80.0% | 33.3% | |
| 64.29% | 14 | 4.5 | 741 | 9,795 | 66.7% | 60.0% | |
| 50.00% | 14 | 5.4 | 719 | 10,522 | 50.0% | 50.0% | |
| 64.29% | 14 | 1.4 | 463 | 9,527 | 60.0% | 66.7% | |
| 64.29% | 14 | 4.8 | 818 | 11,242 | 75.0% | 50.0% | |
| 42.86% | 14 | 0.7 | 603 | 11,216 | 40.0% | 44.4% | |
| 69.23% | 13 | 1.2 | 390 | 7,649 | 71.4% | 66.7% | |
| 30.77% | 13 | 2.2 | 658 | 10,510 | 0.0% | 50.0% | |
| 53.85% | 13 | 1.0 | 696 | 12,047 | 50.0% | 55.6% | |
| 69.23% | 13 | 1.0 | 647 | 11,517 | 80.0% | 62.5% | |
| 61.54% | 13 | 1.3 | 499 | 9,115 | 16.7% | 100.0% | |
| 66.67% | 12 | 1.3 | 728 | 12,492 | 33.3% | 77.8% | |
| 33.33% | 12 | 4.7 | 953 | 11,838 | 25.0% | 37.5% | |
| 75.00% | 12 | 4.4 | 852 | 12,437 | 80.0% | 71.4% | |
| 81.82% | 11 | 1.1 | 683 | 10,313 | 75.0% | 85.7% | |
| 45.45% | 11 | 2.4 | 737 | 12,173 | 33.3% | 50.0% | |
| 54.55% | 11 | 1.8 | 516 | 10,266 | 33.3% | 62.5% | |
| 40.00% | 10 | 5.6 | 928 | 10,954 | 25.0% | 50.0% | |
| 70.00% | 10 | 2.2 | 766 | 11,626 | 80.0% | 60.0% | |
| 60.00% | 10 | 4.8 | 769 | 11,722 | 60.0% | 60.0% | |
| 60.00% | 10 | 5.8 | 813 | 12,227 | 60.0% | 60.0% | |
| 50.00% | 10 | 0.6 | 432 | 10,470 | 50.0% | 50.0% | |
| 40.00% | 10 | 1.9 | 540 | 11,017 | 33.3% | 42.9% | |
| 33.33% | 9 | 0.7 | 609 | 9,502 | 25.0% | 40.0% | |
| 77.78% | 9 | 5.3 | 1,044 | 11,196 | 100.0% | 60.0% | |
| 55.56% | 9 | 1.1 | 641 | 10,099 | 75.0% | 40.0% | |
| 66.67% | 9 | 4.9 | 610 | 10,154 | 50.0% | 100.0% | |
| 33.33% | 9 | 0.8 | 570 | 9,251 | 16.7% | 66.7% | |
| 44.44% | 9 | 0.8 | 550 | 10,500 | 0.0% | 66.7% | |
| 66.67% | 9 | 0.9 | 701 | 13,139 | 75.0% | 60.0% | |
| 75.00% | 8 | 2.0 | 582 | 11,600 | 100.0% | 60.0% | |
| 37.50% | 8 | 5.7 | 789 | 12,223 | 50.0% | 33.3% | |
| 75.00% | 8 | 2.0 | 577 | 11,984 | 100.0% | 60.0% | |
| 62.50% | 8 | 5.3 | 598 | 12,927 | 0.0% | 62.5% | |
| 37.50% | 8 | 1.7 | 594 | 9,575 | 0.0% | 50.0% | |
| 25.00% | 8 | 5.5 | 772 | 10,272 | 25.0% | 25.0% | |
| 57.14% | 7 | 1.8 | 641 | 10,298 | 66.7% | 50.0% | |
| 71.43% | 7 | 1.7 | 775 | 10,241 | 75.0% | 66.7% | |
| 28.57% | 7 | 1.7 | 507 | 9,806 | 0.0% | 50.0% | |
| 57.14% | 7 | 5.7 | 713 | 11,884 | 0.0% | 80.0% | |
| 71.43% | 7 | 0.9 | 500 | 11,071 | 66.7% | 75.0% | |
| 66.67% | 6 | 1.0 | 651 | 11,943 | 100.0% | 60.0% | |
| 66.67% | 6 | 2.0 | 585 | 10,551 | 50.0% | 100.0% | |
| 66.67% | 6 | 0.6 | 880 | 10,732 | 66.7% | 66.7% | |
| 50.00% | 6 | 4.7 | 577 | 11,383 | 0.0% | 60.0% | |
| 50.00% | 6 | 3.0 | 580 | 9,165 | 50.0% | 50.0% | |
| 33.33% | 6 | 5.0 | 748 | 9,308 | 25.0% | 50.0% | |
| 40.00% | 5 | 2.8 | 461 | 12,375 | 100.0% | 25.0% | |
| 0.00% | 5 | 4.2 | 750 | 8,431 | 0.0% | 0.0% | |
| 40.00% | 5 | 2.4 | 388 | 9,440 | 50.0% | 33.3% | |
| 80.00% | 5 | 1.3 | 569 | 11,708 | 100.0% | 75.0% | |
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
Poppy vs Gangplank - Frequently Asked Questions
How does Poppy do against Gangplank in League of Legends?
Poppy wins the Poppy vs Gangplank matchup with a 60.0% win rate compared to Gangplank's 40.0%, a 20.0 percentage point difference. This data is based on 10 recent ranked games in patch 26.11.
How does Poppy do against Gangplank in the early game?
In the early game, Poppy has the advantage against Gangplank with a 60.0% win rate versus 40.0%. 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 Gangplank in the late game?
In the late game, Poppy takes over the Poppy vs Gangplank matchup with a 60.0% win rate compared to 40.0%. Poppy scales better into team fights and objective contests after 25 minutes.
Who wins the Poppy vs Gangplank matchup?
Poppy wins the matchup against Gangplank with a 60.0% win rate in League of Legends patch 26.11. The 20.0 percentage point advantage means Poppy is significantly favored in this lane matchup based on 10 games analyzed.
What is the best Poppy build against Gangplank?
The best Poppy build against Gangplank includes Sundered Sky, Fimbulwinter, Thornmail with Plated Steelcaps. 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 Gangplank?
The best Poppy runes against Gangplank use the Resolve primary tree with Precision secondary. This rune setup achieves a 100.0% win rate in the Poppy vs Gangplank matchup. See the full rune breakdown in the matchup comparison above.
Does Poppy counter Gangplank?
Yes, Poppy has a favorable matchup against Gangplank with a 60.0% win rate. Poppy strongly counters Gangplank in lane based on current patch 26.11 data.
How do I play Poppy against Gangplank?
When playing Poppy against Gangplank, 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.
