
Trundlevs Poppy
Trundle vs Poppy is a decisive matchup in LoL patch 26.4. Trundle wins with a 61.1% win rate (+22.2%) over Poppy based on 18 games. Trundle wins the early laning phase while Poppy scales better into the late game. Below you'll find the best Trundle build, runes, laning stats, and strategies for the Trundle vs Poppy matchup.
Trundle Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Trundle 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 Trundle vs Poppy Matchup?

Trundle vs Poppy Matchup Summary
The Trundle vs Poppy matchup is a decisive matchup in League of Legends ranked play. Based on 18 recent matches analyzed, Trundle wins with a 61.1% win rate compared to Poppy's 38.9%, giving Trundle a 22.2 percentage point advantage. Game phase dynamics play a critical role here: Trundle controls the early laning stage, but Poppy outscales as the game goes longer. The matchup shifts dramatically depending on game length — Trundle needs to press advantages before Poppy reaches their power spikes, while Poppy should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Poppy leads by 0.5s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Trundle players can confidently pick into Poppy and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Poppy away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Trundle vs Poppy Laning Phase Breakdown
Poppy is favored during the laning phase against Trundle, winning 3 out of 5 key stat categories. Poppy holds advantages in damage, crowd control and sustain, making them the stronger laner in this matchup.
Best Trundle Build Against Poppy
Boots of Swiftness is the optimal boots choice against Poppy, providing the mobility and stats Trundle needs most in this matchup. The top-performing core items for Trundle against Poppy are Hullbreaker, Blade of The Ruined King and Trinity Force. This combination gives Trundle 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 Trundle vs Poppy matchup.
Early Game vs Late Game
Trundle dominates the early game (first 15 minutes) with a commanding 77.8% win rate — a 55.6 percentage point lead over Poppy. This lopsided early game means Trundle 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 55.6% win rate — 11.1 points above Trundle. Extended games heavily favor Poppy, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Trundle must aggressively press their early advantage and close out the game before Poppy reaches their scaling breakpoints. If Poppy 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 Trundle Runes Against Poppy
Running Precision primary with Resolve secondary allows Trundle to press their advantage against Poppy, amplifying the strengths that make this a favorable matchup.
Trundle matchup data for League of Legends patch 26.4. The table below shows Trundle'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 Trundle 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 |
|---|---|---|---|---|---|---|---|
| 45.58% | 147 | 4.4 | 967 | 12,441 | 50.7% | 40.8% | |
| 51.64% | 122 | 4.6 | 772 | 12,082 | 54.1% | 49.2% | |
| 48.76% | 121 | 4.8 | 630 | 12,296 | 46.5% | 50.8% | |
| 52.59% | 116 | 1.2 | 598 | 12,129 | 58.2% | 47.5% | |
| 56.52% | 116 | 3.1 | 676 | 12,466 | 54.9% | 57.8% | |
| 55.56% | 109 | 7.0 | 741 | 12,366 | 52.9% | 57.9% | |
| 45.45% | 100 | 1.7 | 617 | 12,055 | 49.0% | 41.7% | |
| 57.45% | 95 | 1.6 | 633 | 12,451 | 51.3% | 61.8% | |
| 42.39% | 92 | 5.8 | 790 | 12,424 | 47.8% | 37.0% | |
| 58.43% | 91 | 6.3 | 843 | 12,645 | 66.0% | 50.0% | |
| 50.00% | 88 | 5.6 | 667 | 12,742 | 55.6% | 46.1% | |
| 48.24% | 86 | 1.8 | 670 | 12,902 | 63.6% | 38.5% | |
| 58.33% | 85 | 5.2 | 722 | 12,789 | 62.5% | 55.8% | |
| 43.53% | 85 | 1.3 | 592 | 12,168 | 43.9% | 43.2% | |
| 60.71% | 84 | 6.7 | 739 | 12,603 | 62.5% | 58.3% | |
| 44.44% | 82 | 5.5 | 703 | 13,021 | 55.9% | 36.2% | |
| 35.80% | 81 | 1.6 | 694 | 12,366 | 35.0% | 36.6% | |
| 56.41% | 78 | 4.7 | 512 | 12,137 | 42.4% | 66.7% | |
| 49.32% | 73 | 5.1 | 696 | 13,000 | 46.9% | 51.2% | |
| 52.94% | 69 | 1.6 | 637 | 12,140 | 50.0% | 55.9% | |
| 57.81% | 64 | 1.7 | 694 | 13,357 | 53.6% | 61.1% | |
| 46.03% | 63 | 7.1 | 826 | 12,944 | 51.6% | 40.6% | |
| 50.82% | 61 | 5.6 | 769 | 12,979 | 56.3% | 44.8% | |
| 45.45% | 56 | 6.7 | 740 | 12,716 | 42.3% | 48.3% | |
| 60.71% | 56 | 6.7 | 865 | 12,230 | 67.9% | 53.6% | |
| 41.82% | 55 | 6.0 | 829 | 11,667 | 38.1% | 44.1% | |
| 56.36% | 55 | 6.7 | 781 | 12,814 | 66.7% | 48.4% | |
| 62.26% | 53 | 1.9 | 571 | 12,861 | 63.0% | 61.5% | |
| 42.31% | 52 | 5.1 | 686 | 12,689 | 44.0% | 40.7% | |
| 64.00% | 51 | 6.6 | 676 | 12,829 | 70.4% | 56.5% | |
| 56.00% | 50 | 6.7 | 786 | 12,846 | 50.0% | 60.7% | |
| 36.73% | 49 | 1.2 | 687 | 12,769 | 46.1% | 26.1% | |
| 64.58% | 48 | 6.6 | 836 | 13,734 | 65.0% | 64.3% | |
| 33.33% | 48 | 1.1 | 593 | 11,633 | 30.8% | 36.4% | |
| 63.83% | 48 | 6.7 | 818 | 13,446 | 62.5% | 65.2% | |
| 55.32% | 47 | 6.0 | 738 | 12,791 | 61.1% | 51.7% | |
| 51.06% | 47 | 1.5 | 653 | 12,423 | 50.0% | 51.7% | |
| 54.35% | 46 | 1.4 | 545 | 12,287 | 54.5% | 54.2% | |
| 36.96% | 46 | 1.4 | 663 | 13,038 | 41.2% | 34.5% | |
| 40.00% | 45 | 2.2 | 629 | 12,686 | 45.5% | 34.8% | |
| 44.44% | 45 | 1.1 | 618 | 12,697 | 42.1% | 46.1% | |
| 54.55% | 44 | 1.4 | 625 | 12,395 | 57.1% | 52.2% | |
| 52.27% | 44 | 1.4 | 654 | 12,691 | 47.4% | 56.0% | |
| 53.49% | 43 | 6.0 | 818 | 12,046 | 54.5% | 52.4% | |
| 56.10% | 41 | 1.8 | 728 | 12,358 | 52.6% | 59.1% | |
| 65.85% | 41 | 6.8 | 651 | 13,225 | 75.0% | 57.1% | |
| 50.00% | 40 | 6.4 | 754 | 12,216 | 53.3% | 48.0% | |
| 40.00% | 40 | 1.9 | 609 | 12,021 | 42.1% | 38.1% | |
| 43.59% | 39 | 7.3 | 685 | 12,012 | 38.5% | 53.9% | |
| 31.58% | 38 | 7.0 | 692 | 13,598 | 33.3% | 30.4% | |
| 55.56% | 36 | 7.0 | 717 | 13,331 | 66.7% | 51.9% | |
| 57.14% | 35 | 3.2 | 624 | 12,549 | 72.2% | 41.2% | |
| 47.06% | 35 | 3.9 | 700 | 13,842 | 64.3% | 35.0% | |
| 44.12% | 34 | 1.6 | 784 | 13,494 | 64.3% | 30.0% | |
| 50.00% | 34 | 1.4 | 662 | 12,884 | 61.5% | 42.9% | |
| 56.25% | 32 | 1.3 | 662 | 12,433 | 46.1% | 63.2% | |
| 56.25% | 32 | 7.0 | 777 | 13,648 | 66.7% | 50.0% | |
| 50.00% | 30 | 6.9 | 828 | 12,669 | 65.0% | 20.0% | |
| 40.00% | 30 | 1.2 | 664 | 13,245 | 30.8% | 47.1% | |
| 48.28% | 29 | 2.6 | 561 | 11,397 | 50.0% | 46.7% | |
| 64.00% | 25 | 6.6 | 799 | 11,367 | 53.3% | 80.0% | |
| 50.00% | 24 | 5.9 | 555 | 12,359 | 45.5% | 53.9% | |
| 54.17% | 24 | 1.0 | 528 | 10,949 | 53.3% | 55.6% | |
| 54.17% | 24 | 6.6 | 767 | 12,613 | 58.3% | 50.0% | |
| 34.78% | 23 | 1.4 | 668 | 13,695 | 40.0% | 33.3% | |
| 60.87% | 23 | 6.3 | 577 | 12,721 | 72.7% | 50.0% | |
| 54.55% | 22 | 5.8 | 739 | 11,336 | 54.5% | 54.5% | |
| 28.57% | 21 | 6.9 | 661 | 11,746 | 37.5% | 23.1% | |
| 38.10% | 21 | 2.2 | 629 | 12,110 | 33.3% | 41.7% | |
| 42.86% | 21 | 2.3 | 769 | 12,676 | 62.5% | 30.8% | |
| 60.00% | 20 | 2.1 | 789 | 13,304 | 55.6% | 63.6% | |
| 52.63% | 20 | 6.5 | 741 | 14,389 | 80.0% | 42.9% | |
| 55.00% | 20 | 1.3 | 556 | 11,757 | 44.4% | 63.6% | |
| 60.00% | 20 | 7.0 | 795 | 12,805 | 50.0% | 75.0% | |
| 57.89% | 19 | 5.9 | 705 | 13,642 | 50.0% | 61.5% | |
| 52.63% | 19 | 2.2 | 421 | 10,551 | 63.6% | 37.5% | |
| 52.63% | 19 | 5.6 | 544 | 12,335 | 60.0% | 44.4% | |
| 42.11% | 19 | 2.3 | 590 | 12,926 | 62.5% | 27.3% | |
| 33.33% | 18 | 2.2 | 694 | 11,394 | 37.5% | 30.0% | |
| 61.11% | 18 | 4.1 | 636 | 12,673 | 77.8% | 44.4% | |
| 56.25% | 17 | 2.1 | 352 | 9,646 | 61.5% | 33.3% | |
| 64.71% | 17 | 2.4 | 468 | 10,742 | 66.7% | 62.5% | |
| 62.50% | 16 | 1.2 | 612 | 13,036 | 42.9% | 77.8% | |
| 60.00% | 15 | 5.8 | 682 | 13,210 | 42.9% | 75.0% | |
| 73.33% | 15 | 6.7 | 768 | 12,150 | 66.7% | 77.8% | |
| 46.67% | 15 | 1.7 | 442 | 10,653 | 57.1% | 37.5% | |
| 20.00% | 15 | 1.6 | 472 | 9,728 | 37.5% | 0.0% | |
| 66.67% | 15 | 0.9 | 582 | 11,030 | 58.3% | 100.0% | |
| 53.33% | 15 | 6.7 | 1,001 | 14,861 | 33.3% | 58.3% | |
| 57.14% | 14 | 2.4 | 480 | 10,165 | 28.6% | 85.7% | |
| 69.23% | 13 | 3.2 | 608 | 13,147 | 85.7% | 50.0% | |
| 66.67% | 12 | 1.6 | 623 | 13,767 | 50.0% | 83.3% | |
| 72.73% | 11 | 1.8 | 492 | 11,534 | 77.8% | 50.0% | |
| 45.45% | 11 | 2.4 | 472 | 8,907 | 40.0% | 50.0% | |
| 40.00% | 10 | 5.5 | 626 | 11,182 | 33.3% | 42.9% | |
| 70.00% | 10 | 1.7 | 363 | 10,426 | 50.0% | 75.0% | |
| 33.33% | 9 | 2.0 | 420 | 9,499 | 25.0% | 40.0% | |
| 77.78% | 9 | 1.4 | 660 | 15,057 | 100.0% | 71.4% | |
| 66.67% | 9 | 2.2 | 708 | 13,207 | 66.7% | 66.7% | |
| 44.44% | 9 | 1.6 | 626 | 11,865 | 33.3% | 66.7% | |
| 50.00% | 8 | 2.8 | 381 | 10,216 | 50.0% | 50.0% | |
| 71.43% | 7 | 1.8 | 374 | 11,592 | 0.0% | 71.4% | |
| 57.14% | 7 | 2.0 | 484 | 10,006 | 0.0% | 80.0% | |
| 14.29% | 7 | 1.1 | 293 | 4,959 | 20.0% | 0.0% | |
| 71.43% | 7 | 1.3 | 446 | 11,707 | 100.0% | 66.7% | |
| 66.67% | 6 | 6.5 | 546 | 14,457 | 0.0% | 66.7% | |
| 83.33% | 6 | 6.5 | 556 | 11,127 | 66.7% | 100.0% | |
| 16.67% | 6 | 1.5 | 429 | 9,877 | 33.3% | 0.0% | |
| 20.00% | 5 | 1.9 | 431 | 13,320 | 100.0% | 0.0% | |
| 40.00% | 5 | 1.9 | 421 | 8,853 | 0.0% | 100.0% | |
| 60.00% | 5 | 2.2 | 489 | 10,451 | 50.0% | 66.7% | |
| 20.00% | 5 | 5.2 | 414 | 9,437 | 0.0% | 33.3% | |
| 60.00% | 5 | 6.3 | 682 | 14,550 | 100.0% | 0.0% | |
| 20.00% | 5 | 6.0 | 583 | 13,640 | 0.0% | 25.0% | |
| 80.00% | 5 | 6.0 | 598 | 14,078 | 100.0% | 75.0% | |
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Trundle vs Poppy - Frequently Asked Questions
How does Trundle do against Poppy in League of Legends?
Trundle wins the Trundle vs Poppy matchup with a 61.1% win rate compared to Poppy's 38.9%, a 22.2 percentage point difference. This data is based on 18 recent ranked games in patch 26.4.
How does Trundle do against Poppy in the early game?
In the early game, Trundle has the advantage against Poppy with a 77.8% win rate versus 22.2%. Trundle players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Trundle do against Poppy in the late game?
In the late game, Poppy takes over the Trundle vs Poppy matchup with a 55.6% win rate compared to 44.4%. Poppy scales better into team fights and objective contests after 25 minutes.
Who wins the Trundle vs Poppy matchup?
Trundle wins the matchup against Poppy with a 61.1% win rate in League of Legends patch 26.4. The 22.2 percentage point advantage means Trundle is significantly favored in this lane matchup based on 18 games analyzed.
What is the best Trundle build against Poppy?
The best Trundle build against Poppy includes Hullbreaker, Blade of The Ruined King, Trinity Force with Boots of Swiftness. Check the matchup breakdown above for the full item path and build order.
What are the best Trundle runes against Poppy?
The best Trundle runes against Poppy use the Precision primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Trundle vs Poppy matchup. See the full rune breakdown in the matchup comparison above.
Does Trundle counter Poppy?
Yes, Trundle has a favorable matchup against Poppy with a 61.1% win rate. Trundle strongly counters Poppy in lane based on current patch 26.4 data.
How do I play Trundle against Poppy?
When playing Trundle against Poppy, 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.
