
Poppyvs Kayle
Poppy vs Kayle is a very close matchup in LoL patch 26.10. Poppy wins with a 50.0% win rate (+0.0%) over Kayle based on 14 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 Kayle 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 Kayle Matchup?

Poppy vs Kayle Matchup Summary
The Poppy vs Kayle matchup is essentially a coin-flip matchup in League of Legends ranked play. Based on 14 recent matches analyzed, Poppy wins with a 50.0% win rate compared to Kayle's 50.0%, giving Poppy a 0.0 percentage point advantage. Poppy holds a slight edge in both the early and late game, but the margins are thin enough that individual skill and jungle attention will often determine the outcome. Kayle can still find windows through outplays and team coordination. The most significant statistical gap is in crowd control, where Poppy leads by 1.0s CC/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 Kayle'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 Kayle Laning Phase Breakdown
Poppy is favored during the laning phase against Kayle, winning 4 out of 5 key stat categories. Poppy holds advantages in damage, gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Poppy Build Against Kayle
Plated Steelcaps is the optimal boots choice against Kayle, providing the mobility and stats Poppy needs most in this matchup. The top-performing core items for Poppy against Kayle are Sundered Sky, Fimbulwinter and Thornmail. This combination gives Poppy 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 Poppy vs Kayle matchup.
Early Game vs Late Game
The early game (first 15 minutes) is a toss-up between Poppy and Kayle, with Poppy holding a razor-thin 50.0% win rate edge (+0.0%). Individual skill and jungle proximity will matter more than champion advantage in the early laning phase.
Late game (25+ minutes) is equally balanced, with Poppy at 50.0% win rate — only 0.0 points ahead of Kayle. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
This matchup is remarkably even at every stage of the game. Neither Poppy nor Kayle has a phase-specific advantage, making this a pure skill matchup where individual mechanics, decision-making, and team coordination determine the outcome.
Best Poppy Runes Against Kayle
The Resolve primary with Precision secondary combination helps Poppy maximize their potential in this closely contested matchup, providing the right mix of offensive and defensive tools to edge out Kayle.
Poppy matchup data for League of Legends patch 26.10. 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 |
|---|---|---|---|---|---|---|---|
| 49.46% | 93 | 1.2 | 514 | 9,726 | 38.9% | 56.1% | |
| 48.28% | 87 | 1.3 | 520 | 9,217 | 57.5% | 40.4% | |
| 45.88% | 85 | 1.3 | 480 | 9,330 | 33.3% | 53.9% | |
| 48.10% | 79 | 1.4 | 515 | 10,453 | 42.3% | 50.9% | |
| 53.95% | 76 | 1.3 | 522 | 9,672 | 53.1% | 54.5% | |
| 55.22% | 67 | 1.4 | 569 | 10,166 | 38.1% | 63.0% | |
| 47.76% | 67 | 1.3 | 471 | 8,215 | 50.0% | 44.8% | |
| 37.10% | 62 | 1.3 | 471 | 9,839 | 30.4% | 41.0% | |
| 47.17% | 53 | 1.4 | 505 | 8,441 | 46.1% | 48.1% | |
| 48.08% | 52 | 2.5 | 607 | 10,239 | 56.5% | 41.4% | |
| 38.00% | 50 | 4.5 | 630 | 11,494 | 14.3% | 47.2% | |
| 48.98% | 49 | 1.4 | 460 | 9,633 | 43.5% | 53.9% | |
| 44.19% | 43 | 6.0 | 796 | 10,687 | 55.0% | 34.8% | |
| 40.48% | 42 | 1.4 | 515 | 9,359 | 50.0% | 34.6% | |
| 48.78% | 41 | 5.8 | 814 | 10,957 | 50.0% | 47.8% | |
| 58.54% | 41 | 1.3 | 595 | 10,036 | 77.8% | 43.5% | |
| 50.00% | 40 | 4.7 | 765 | 10,705 | 25.0% | 66.7% | |
| 35.90% | 39 | 2.4 | 675 | 9,492 | 17.6% | 50.0% | |
| 48.72% | 39 | 1.3 | 519 | 9,203 | 50.0% | 47.8% | |
| 43.59% | 39 | 5.1 | 694 | 10,454 | 50.0% | 39.1% | |
| 44.74% | 38 | 1.9 | 617 | 9,816 | 41.2% | 47.6% | |
| 45.95% | 37 | 4.8 | 671 | 10,928 | 58.3% | 40.0% | |
| 55.56% | 36 | 4.9 | 800 | 10,700 | 43.8% | 65.0% | |
| 55.88% | 34 | 1.5 | 528 | 9,947 | 53.3% | 57.9% | |
| 44.12% | 34 | 5.3 | 833 | 9,791 | 53.3% | 36.8% | |
| 42.42% | 33 | 1.3 | 553 | 10,455 | 36.4% | 45.5% | |
| 43.75% | 32 | 1.3 | 488 | 9,217 | 44.4% | 42.9% | |
| 70.97% | 31 | 1.3 | 550 | 9,407 | 86.7% | 56.3% | |
| 40.00% | 30 | 5.6 | 796 | 10,902 | 50.0% | 33.3% | |
| 53.33% | 30 | 1.0 | 587 | 10,647 | 50.0% | 55.6% | |
| 36.67% | 30 | 4.6 | 717 | 11,248 | 46.1% | 29.4% | |
| 44.83% | 29 | 1.3 | 454 | 9,085 | 23.1% | 62.5% | |
| 55.17% | 29 | 1.1 | 509 | 9,776 | 53.9% | 56.3% | |
| 51.72% | 29 | 1.2 | 447 | 8,898 | 66.7% | 35.7% | |
| 55.17% | 29 | 1.2 | 500 | 10,197 | 33.3% | 65.0% | |
| 37.93% | 29 | 0.7 | 582 | 9,482 | 53.9% | 25.0% | |
| 50.00% | 28 | 4.9 | 817 | 10,559 | 50.0% | 50.0% | |
| 59.26% | 27 | 1.3 | 542 | 10,290 | 75.0% | 52.6% | |
| 44.44% | 27 | 4.3 | 689 | 10,390 | 45.5% | 43.8% | |
| 38.46% | 26 | 1.2 | 475 | 8,625 | 38.5% | 38.5% | |
| 38.46% | 26 | 1.4 | 568 | 10,620 | 54.5% | 26.7% | |
| 40.00% | 25 | 5.6 | 759 | 10,738 | 50.0% | 27.3% | |
| 44.00% | 25 | 5.2 | 1,075 | 10,654 | 44.4% | 43.8% | |
| 48.00% | 25 | 5.7 | 841 | 11,341 | 60.0% | 40.0% | |
| 45.83% | 24 | 1.6 | 606 | 9,893 | 35.7% | 60.0% | |
| 41.67% | 24 | 5.1 | 979 | 11,369 | 40.0% | 42.9% | |
| 58.33% | 24 | 0.9 | 570 | 10,976 | 70.0% | 50.0% | |
| 30.43% | 23 | 5.4 | 622 | 10,072 | 22.2% | 35.7% | |
| 47.83% | 23 | 0.9 | 535 | 10,172 | 45.5% | 50.0% | |
| 68.18% | 22 | 1.3 | 542 | 10,088 | 63.6% | 72.7% | |
| 59.09% | 22 | 4.8 | 782 | 10,885 | 55.6% | 61.5% | |
| 36.36% | 22 | 1.9 | 605 | 10,288 | 42.9% | 33.3% | |
| 33.33% | 21 | 2.9 | 739 | 10,665 | 30.0% | 36.4% | |
| 61.90% | 21 | 5.7 | 736 | 11,899 | 60.0% | 62.5% | |
| 52.38% | 21 | 1.2 | 466 | 8,815 | 58.3% | 44.4% | |
| 60.00% | 20 | 4.0 | 833 | 12,152 | 100.0% | 46.7% | |
| 50.00% | 20 | 1.4 | 430 | 8,930 | 37.5% | 58.3% | |
| 30.00% | 20 | 5.5 | 838 | 8,922 | 15.4% | 57.1% | |
| 30.00% | 20 | 6.2 | 645 | 10,322 | 25.0% | 33.3% | |
| 47.37% | 19 | 1.7 | 618 | 11,524 | 50.0% | 45.5% | |
| 57.89% | 19 | 6.3 | 792 | 11,188 | 63.6% | 50.0% | |
| 57.89% | 19 | 1.1 | 587 | 9,904 | 60.0% | 55.6% | |
| 36.84% | 19 | 5.3 | 859 | 10,748 | 14.3% | 50.0% | |
| 57.89% | 19 | 5.8 | 871 | 10,800 | 50.0% | 66.7% | |
| 36.84% | 19 | 5.7 | 803 | 11,270 | 37.5% | 36.4% | |
| 52.63% | 19 | 1.1 | 483 | 9,682 | 50.0% | 54.5% | |
| 29.41% | 17 | 0.9 | 557 | 10,881 | 44.4% | 12.5% | |
| 35.29% | 17 | 3.0 | 640 | 11,080 | 0.0% | 50.0% | |
| 23.53% | 17 | 2.0 | 571 | 11,509 | 25.0% | 23.1% | |
| 50.00% | 16 | 5.0 | 751 | 12,693 | 50.0% | 50.0% | |
| 56.25% | 16 | 1.6 | 498 | 8,931 | 75.0% | 37.5% | |
| 56.25% | 16 | 5.1 | 969 | 10,620 | 50.0% | 60.0% | |
| 43.75% | 16 | 1.1 | 658 | 11,810 | 66.7% | 38.5% | |
| 43.75% | 16 | 2.5 | 728 | 9,867 | 33.3% | 57.1% | |
| 40.00% | 15 | 5.5 | 697 | 10,908 | 42.9% | 37.5% | |
| 42.86% | 14 | 0.7 | 611 | 11,473 | 50.0% | 37.5% | |
| 50.00% | 14 | 5.7 | 731 | 10,432 | 50.0% | 50.0% | |
| 64.29% | 14 | 5.5 | 740 | 11,778 | 80.0% | 55.6% | |
| 23.08% | 13 | 4.7 | 895 | 11,982 | 0.0% | 27.3% | |
| 61.54% | 13 | 5.9 | 825 | 11,239 | 57.1% | 66.7% | |
| 53.85% | 13 | 5.8 | 881 | 10,577 | 42.9% | 66.7% | |
| 53.85% | 13 | 2.9 | 622 | 9,499 | 50.0% | 57.1% | |
| 46.15% | 13 | 4.6 | 779 | 11,707 | 0.0% | 75.0% | |
| 46.15% | 13 | 6.2 | 968 | 10,361 | 50.0% | 42.9% | |
| 38.46% | 13 | 0.9 | 649 | 12,306 | 50.0% | 33.3% | |
| 41.67% | 12 | 1.3 | 474 | 9,120 | 75.0% | 25.0% | |
| 45.45% | 11 | 1.5 | 505 | 9,185 | 33.3% | 60.0% | |
| 45.45% | 11 | 1.6 | 537 | 10,272 | 50.0% | 44.4% | |
| 60.00% | 10 | 1.4 | 658 | 13,074 | 66.7% | 57.1% | |
| 50.00% | 10 | 6.3 | 783 | 9,925 | 50.0% | 50.0% | |
| 60.00% | 10 | 4.5 | 646 | 10,702 | 50.0% | 66.7% | |
| 30.00% | 10 | 5.2 | 911 | 11,323 | 50.0% | 16.7% | |
| 55.56% | 9 | 1.8 | 679 | 12,290 | 60.0% | 50.0% | |
| 44.44% | 9 | 1.8 | 509 | 12,209 | 100.0% | 28.6% | |
| 44.44% | 9 | 4.7 | 881 | 12,045 | 33.3% | 50.0% | |
| 22.22% | 9 | 0.8 | 622 | 10,196 | 25.0% | 20.0% | |
| 55.56% | 9 | 4.0 | 580 | 10,162 | 75.0% | 40.0% | |
| 62.50% | 8 | 0.9 | 586 | 11,509 | 100.0% | 57.1% | |
| 62.50% | 8 | 1.8 | 647 | 12,274 | 50.0% | 66.7% | |
| 75.00% | 8 | 4.6 | 779 | 10,424 | 50.0% | 83.3% | |
| 62.50% | 8 | 2.8 | 988 | 11,920 | 33.3% | 80.0% | |
| 50.00% | 8 | 5.9 | 658 | 8,397 | 75.0% | 25.0% | |
| 62.50% | 8 | 0.6 | 528 | 9,467 | 60.0% | 66.7% | |
| 75.00% | 8 | 5.0 | 781 | 12,148 | 100.0% | 71.4% | |
| 71.43% | 7 | 5.7 | 601 | 8,364 | 60.0% | 100.0% | |
| 57.14% | 7 | 2.9 | 600 | 8,333 | 100.0% | 0.0% | |
| 71.43% | 7 | 0.7 | 676 | 10,067 | 66.7% | 75.0% | |
| 42.86% | 7 | 1.2 | 513 | 8,490 | 50.0% | 33.3% | |
| 50.00% | 6 | 1.0 | 590 | 11,332 | 33.3% | 66.7% | |
| 83.33% | 6 | 2.1 | 784 | 13,277 | 100.0% | 75.0% | |
| 66.67% | 6 | 1.3 | 689 | 10,378 | 100.0% | 60.0% | |
| 66.67% | 6 | 1.3 | 578 | 10,255 | 100.0% | 33.3% | |
| 33.33% | 6 | 2.3 | 710 | 9,729 | 33.3% | 33.3% | |
| 66.67% | 6 | 3.5 | 779 | 10,906 | 50.0% | 75.0% | |
| 66.67% | 6 | 0.7 | 587 | 13,356 | 50.0% | 75.0% | |
| 33.33% | 6 | 5.2 | 506 | 8,393 | 0.0% | 100.0% | |
| 50.00% | 6 | 1.0 | 686 | 11,456 | 25.0% | 100.0% | |
| 33.33% | 6 | 1.2 | 574 | 11,119 | 100.0% | 20.0% | |
| 16.67% | 6 | 0.8 | 579 | 12,854 | 0.0% | 20.0% | |
| 40.00% | 5 | 0.9 | 597 | 11,385 | 0.0% | 50.0% | |
| 40.00% | 5 | 5.8 | 807 | 10,238 | 0.0% | 66.7% | |
| 60.00% | 5 | 1.8 | 643 | 8,118 | 100.0% | 33.3% | |
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Poppy vs Kayle - Frequently Asked Questions
How does Poppy do against Kayle in League of Legends?
Poppy wins the Poppy vs Kayle matchup with a 50.0% win rate compared to Kayle's 50.0%, a 0.0 percentage point difference. This data is based on 14 recent ranked games in patch 26.10.
How does Poppy do against Kayle in the early game?
In the early game, Poppy has the advantage against Kayle with a 50.0% win rate versus 50.0%. 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 Kayle in the late game?
In the late game, Poppy takes over the Poppy vs Kayle matchup with a 50.0% win rate compared to 50.0%. Poppy scales better into team fights and objective contests after 25 minutes.
Who wins the Poppy vs Kayle matchup?
Poppy wins the matchup against Kayle with a 50.0% win rate in League of Legends patch 26.10. The 0.0 percentage point advantage means Poppy is slightly favored in this lane matchup based on 14 games analyzed.
What is the best Poppy build against Kayle?
The best Poppy build against Kayle includes Sundered Sky, Fimbulwinter, Thornmail with Plated Steelcaps. Check the matchup breakdown above for the full item path and build order.
What are the best Poppy runes against Kayle?
The best Poppy runes against Kayle use the Resolve primary tree with Precision secondary. This rune setup achieves a 100.0% win rate in the Poppy vs Kayle matchup. See the full rune breakdown in the matchup comparison above.
Does Poppy counter Kayle?
Yes, Poppy has a favorable matchup against Kayle with a 50.0% win rate. Poppy slightly edges out Kayle in lane based on current patch 26.10 data.
How do I play Poppy against Kayle?
When playing Poppy against Kayle, 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.
