Pantheonvs Poppy
Pantheon vs Poppy is a decisive matchup in LoL patch 26.4. Poppy wins with a 62.8% win rate (+25.6%) over Pantheon based on 44 games. Poppy holds the advantage in both the early and late game. Below you'll find the best Pantheon build, runes, laning stats, and strategies for the Pantheon vs Poppy matchup.
Pantheon Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Pantheon 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.
Poppy(37.2%)Who Wins the Pantheon vs Poppy Matchup?
Pantheon vs Poppy Matchup Summary
The Pantheon vs Poppy matchup is a decisive matchup in League of Legends ranked play. Based on 44 recent matches analyzed, Poppy wins with a 62.8% win rate compared to Pantheon's 37.2%, giving Poppy a 25.6 percentage point advantage. Poppy dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Pantheon players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in damage output, where Pantheon leads by 313 DMG/min — a difference that heavily influences the outcome of trades and skirmishes. Poppy has a strong advantage in this matchup. Pantheon players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Poppy overextending. Avoid prolonged trades and wait for team fights where positioning and coordination matter more. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Pantheon vs Poppy Laning Phase Breakdown
Pantheon is favored during the laning phase against Poppy, winning 3 out of 5 key stat categories. Pantheon holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Pantheon Build Against Poppy
Plated Steelcaps is the optimal boots choice against Poppy, providing the mobility and stats Pantheon needs most in this matchup. The top-performing core items for Pantheon against Poppy are Eclipse, Sundered Sky and Black Cleaver. This combination gives Pantheon an effective balance of damage, survivability, and utility for the matchup. This build has a 33.3% win rate across 3 games. While the overall matchup may be difficult, this item path gives Pantheon the best chance to compete against Poppy. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Pantheon vs Poppy matchup.
Early Game vs Late Game
Pantheon38.5%Poppy61.5%Pantheon36.7%Poppy63.3%Poppy dominates the early game (first 15 minutes) with a commanding 61.5% win rate — a 23.1 percentage point lead over Pantheon. 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 63.3% win rate — 26.7 points above Pantheon. 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. Pantheon players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Pantheon Runes Against Poppy
Precision
Domination
The Precision and Domination rune setup gives Pantheon the best tools to compete against Poppy in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Pantheon matchup data for League of Legends patch 26.4. The table below shows Pantheon'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 Pantheon 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 |
|---|---|---|---|---|---|---|---|
| 47.44% | 215 | 2.1 | 679 | 10,809 | 41.3% | 52.0% | |
| 46.45% | 186 | 1.5 | 675 | 10,670 | 45.0% | 47.6% | |
| 47.62% | 168 | 1.4 | 661 | 10,348 | 42.6% | 51.0% | |
| 56.21% | 153 | 1.7 | 711 | 10,583 | 60.9% | 52.8% | |
| 40.28% | 145 | 1.6 | 701 | 11,162 | 40.7% | 40.0% | |
| 56.30% | 135 | 5.8 | 959 | 12,446 | 66.7% | 46.4% | |
| 48.78% | 123 | 1.7 | 697 | 10,326 | 47.5% | 50.0% | |
| 49.55% | 111 | 1.6 | 711 | 11,261 | 56.8% | 46.0% | |
| 51.82% | 110 | 5.7 | 982 | 12,169 | 45.1% | 57.6% | |
| 41.35% | 105 | 2.1 | 756 | 11,325 | 48.8% | 36.5% | |
| 44.44% | 99 | 1.4 | 634 | 10,002 | 59.2% | 30.0% | |
| 50.00% | 94 | 1.5 | 701 | 10,401 | 51.1% | 49.0% | |
| 53.41% | 88 | 3.7 | 744 | 11,619 | 57.5% | 50.0% | |
| 48.28% | 88 | 1.5 | 630 | 10,557 | 50.0% | 46.8% | |
| 49.43% | 87 | 1.5 | 638 | 10,278 | 50.0% | 48.9% | |
| 47.06% | 85 | 3.1 | 867 | 10,151 | 39.5% | 53.2% | |
| 60.00% | 85 | 4.8 | 925 | 12,585 | 50.0% | 66.7% | |
| 55.95% | 84 | 1.5 | 639 | 9,951 | 60.0% | 52.3% | |
| 51.19% | 84 | 6.0 | 900 | 12,411 | 53.3% | 50.0% | |
| 51.81% | 83 | 1.5 | 720 | 10,430 | 52.5% | 51.2% | |
| 62.20% | 82 | 1.5 | 640 | 9,960 | 72.3% | 48.6% | |
| 48.75% | 80 | 4.8 | 848 | 11,253 | 50.0% | 47.7% | |
| 37.66% | 78 | 2.1 | 741 | 10,479 | 42.9% | 33.3% | |
| 45.45% | 78 | 1.6 | 681 | 9,762 | 54.5% | 33.3% | |
| 46.75% | 77 | 1.5 | 705 | 10,987 | 44.4% | 48.0% | |
| 57.33% | 75 | 5.4 | 839 | 11,379 | 50.0% | 66.7% | |
| 40.00% | 75 | 4.3 | 1,081 | 11,235 | 42.9% | 37.5% | |
| 48.65% | 74 | 3.9 | 926 | 12,362 | 63.3% | 38.6% | |
| 60.81% | 74 | 5.4 | 902 | 12,183 | 64.1% | 57.1% | |
| 56.34% | 72 | 5.6 | 992 | 12,025 | 63.6% | 50.0% | |
| 55.07% | 70 | 1.1 | 770 | 13,258 | 65.5% | 47.5% | |
| 51.52% | 68 | 1.5 | 754 | 10,634 | 44.8% | 56.8% | |
| 53.03% | 66 | 4.9 | 878 | 12,093 | 44.1% | 62.5% | |
| 48.44% | 65 | 2.4 | 853 | 12,716 | 54.5% | 41.9% | |
| 38.33% | 62 | 1.9 | 671 | 10,561 | 46.7% | 30.0% | |
| 50.00% | 62 | 5.3 | 954 | 11,012 | 50.0% | 50.0% | |
| 51.61% | 62 | 1.6 | 632 | 10,273 | 46.9% | 56.7% | |
| 42.37% | 61 | 1.6 | 748 | 10,713 | 51.7% | 33.3% | |
| 44.64% | 57 | 5.9 | 809 | 12,026 | 40.0% | 48.4% | |
| 46.43% | 56 | 4.3 | 818 | 11,660 | 34.5% | 59.3% | |
| 54.55% | 55 | 4.2 | 835 | 11,841 | 61.5% | 48.3% | |
| 51.85% | 55 | 3.4 | 833 | 12,860 | 39.1% | 61.3% | |
| 45.45% | 55 | 5.7 | 879 | 11,576 | 53.9% | 37.9% | |
| 31.48% | 55 | 1.7 | 707 | 10,359 | 38.5% | 25.0% | |
| 52.83% | 53 | 3.3 | 747 | 10,634 | 54.8% | 50.0% | |
| 47.17% | 53 | 2.4 | 699 | 11,165 | 35.0% | 54.5% | |
| 50.00% | 53 | 5.7 | 869 | 12,245 | 59.1% | 43.3% | |
| 50.00% | 52 | 5.6 | 1,094 | 11,809 | 52.4% | 48.4% | |
| 36.54% | 52 | 4.2 | 805 | 11,603 | 36.0% | 37.0% | |
| 36.54% | 52 | 4.0 | 715 | 10,914 | 20.8% | 50.0% | |
| 47.06% | 51 | 4.0 | 804 | 11,545 | 44.0% | 50.0% | |
| 46.00% | 50 | 1.4 | 699 | 10,230 | 51.9% | 39.1% | |
| 60.00% | 50 | 4.9 | 862 | 10,993 | 53.6% | 68.2% | |
| 46.94% | 49 | 1.4 | 658 | 10,585 | 35.0% | 55.2% | |
| 40.82% | 49 | 5.1 | 980 | 11,318 | 33.3% | 48.0% | |
| 51.11% | 47 | 3.1 | 781 | 12,193 | 50.0% | 52.2% | |
| 46.81% | 47 | 1.1 | 743 | 12,973 | 33.3% | 57.7% | |
| 57.45% | 47 | 2.7 | 753 | 11,654 | 63.2% | 53.6% | |
| 47.83% | 46 | 1.8 | 727 | 10,882 | 50.0% | 46.7% | |
| 50.00% | 46 | 5.6 | 856 | 11,443 | 50.0% | 50.0% | |
| 46.67% | 45 | 4.8 | 976 | 12,010 | 47.4% | 46.1% | |
| 62.22% | 45 | 5.0 | 997 | 13,260 | 50.0% | 67.7% | |
| 55.81% | 45 | 5.4 | 887 | 11,064 | 52.6% | 58.3% | |
| 53.33% | 45 | 5.6 | 871 | 11,892 | 35.3% | 64.3% | |
| 38.64% | 44 | 5.4 | 779 | 10,942 | 40.0% | 37.9% | |
| 37.21% | 44 | 2.2 | 840 | 11,944 | 38.5% | 36.7% | |
| 44.19% | 43 | 5.9 | 904 | 10,155 | 35.0% | 52.2% | |
| 39.53% | 43 | 4.9 | 840 | 12,446 | 41.2% | 38.5% | |
| 40.48% | 42 | 1.4 | 563 | 8,878 | 39.3% | 42.9% | |
| 40.00% | 40 | 1.2 | 686 | 12,213 | 27.3% | 44.8% | |
| 55.00% | 40 | 1.3 | 714 | 11,964 | 40.0% | 64.0% | |
| 51.28% | 39 | 5.9 | 964 | 11,696 | 37.5% | 60.9% | |
| 66.67% | 39 | 3.5 | 990 | 12,747 | 46.7% | 79.2% | |
| 48.72% | 39 | 5.2 | 850 | 11,903 | 29.4% | 63.6% | |
| 48.65% | 37 | 1.6 | 692 | 10,069 | 44.4% | 52.6% | |
| 51.35% | 37 | 1.2 | 746 | 13,966 | 54.5% | 50.0% | |
| 37.84% | 37 | 5.3 | 894 | 12,312 | 57.1% | 26.1% | |
| 36.11% | 36 | 5.3 | 870 | 11,573 | 50.0% | 25.0% | |
| 44.44% | 36 | 6.0 | 1,047 | 12,035 | 38.9% | 50.0% | |
| 61.76% | 35 | 3.1 | 811 | 12,215 | 64.7% | 58.8% | |
| 42.86% | 35 | 6.2 | 890 | 12,098 | 44.4% | 41.2% | |
| 39.39% | 34 | 1.1 | 747 | 12,054 | 47.1% | 31.3% | |
| 56.25% | 33 | 3.5 | 868 | 13,019 | 41.7% | 65.0% | |
| 36.36% | 33 | 0.8 | 608 | 12,556 | 50.0% | 26.3% | |
| 46.88% | 32 | 1.6 | 847 | 12,693 | 50.0% | 43.8% | |
| 54.84% | 32 | 2.6 | 787 | 12,375 | 64.3% | 47.1% | |
| 51.61% | 31 | 2.3 | 811 | 10,866 | 53.9% | 50.0% | |
| 38.71% | 31 | 1.1 | 698 | 13,250 | 44.4% | 36.4% | |
| 46.67% | 30 | 1.6 | 621 | 10,308 | 42.9% | 50.0% | |
| 62.07% | 29 | 4.3 | 813 | 11,489 | 64.7% | 58.3% | |
| 78.57% | 28 | 1.5 | 876 | 13,636 | 91.7% | 68.8% | |
| 50.00% | 28 | 3.9 | 856 | 10,877 | 42.9% | 57.1% | |
| 39.29% | 28 | 1.1 | 729 | 12,606 | 36.4% | 41.2% | |
| 48.15% | 27 | 5.3 | 814 | 12,070 | 30.0% | 58.8% | |
| 66.67% | 27 | 1.4 | 828 | 13,562 | 62.5% | 68.4% | |
| 59.26% | 27 | 5.0 | 797 | 11,746 | 58.3% | 60.0% | |
| 38.46% | 26 | 5.3 | 704 | 12,330 | 22.2% | 47.1% | |
| 36.00% | 26 | 6.1 | 982 | 12,067 | 62.5% | 23.5% | |
| 40.00% | 25 | 2.2 | 744 | 11,427 | 25.0% | 53.9% | |
| 54.17% | 25 | 3.0 | 718 | 11,105 | 58.3% | 50.0% | |
| 60.00% | 25 | 5.5 | 694 | 10,337 | 68.8% | 44.4% | |
| 62.50% | 24 | 5.0 | 997 | 12,977 | 50.0% | 68.8% | |
| 50.00% | 24 | 4.5 | 733 | 11,094 | 46.7% | 55.6% | |
| 47.83% | 23 | 5.9 | 918 | 10,242 | 66.7% | 27.3% | |
| 47.83% | 23 | 1.6 | 706 | 9,589 | 66.7% | 27.3% | |
| 56.52% | 23 | 4.4 | 872 | 12,718 | 37.5% | 66.7% | |
| 34.78% | 23 | 5.8 | 837 | 10,760 | 30.0% | 38.5% | |
| 56.52% | 23 | 0.9 | 760 | 11,694 | 72.7% | 41.7% | |
| 68.18% | 23 | 6.1 | 872 | 11,749 | 54.5% | 81.8% | |
| 63.64% | 22 | 1.4 | 686 | 11,692 | 53.9% | 77.8% | |
| 40.91% | 22 | 5.6 | 933 | 13,058 | 83.3% | 25.0% | |
| 52.38% | 21 | 1.4 | 682 | 9,794 | 66.7% | 41.7% | |
| 45.00% | 20 | 4.8 | 897 | 11,240 | 44.4% | 45.5% | |
| 55.00% | 20 | 2.0 | 681 | 13,041 | 25.0% | 62.5% | |
| 50.00% | 20 | 1.2 | 790 | 12,490 | 42.9% | 53.9% | |
| 70.00% | 20 | 4.3 | 714 | 12,060 | 66.7% | 71.4% | |
| 57.89% | 19 | 5.4 | 850 | 11,719 | 44.4% | 70.0% | |
| 63.16% | 19 | 1.6 | 752 | 11,498 | 66.7% | 60.0% | |
| 47.37% | 19 | 5.7 | 875 | 12,160 | 37.5% | 54.5% | |
| 52.63% | 19 | 1.5 | 823 | 13,932 | 50.0% | 53.9% | |
| 47.37% | 19 | 5.5 | 1,090 | 12,646 | 50.0% | 46.1% | |
| 55.56% | 18 | 3.6 | 925 | 12,904 | 57.1% | 54.5% | |
| 61.11% | 18 | 5.1 | 945 | 13,383 | 50.0% | 66.7% | |
| 66.67% | 18 | 5.1 | 897 | 11,798 | 66.7% | 66.7% | |
| 44.44% | 18 | 3.4 | 805 | 11,980 | 28.6% | 54.5% | |
| 44.44% | 18 | 5.4 | 784 | 11,954 | 37.5% | 50.0% | |
| 44.44% | 18 | 4.7 | 859 | 12,150 | 25.0% | 50.0% | |
| 58.82% | 17 | 3.6 | 858 | 12,734 | 62.5% | 55.6% | |
| 52.94% | 17 | 0.8 | 690 | 12,937 | 28.6% | 70.0% | |
| 62.50% | 16 | 1.9 | 844 | 11,591 | 60.0% | 66.7% | |
| 60.00% | 15 | 5.6 | 974 | 12,200 | 57.1% | 62.5% | |
| 60.00% | 15 | 5.3 | 989 | 11,143 | 44.4% | 83.3% | |
| 46.67% | 15 | 1.2 | 722 | 13,617 | 66.7% | 41.7% | |
| 57.14% | 14 | 4.2 | 653 | 10,380 | 75.0% | 50.0% | |
| 35.71% | 14 | 4.7 | 696 | 10,441 | 42.9% | 28.6% | |
| 50.00% | 14 | 5.1 | 919 | 11,587 | 20.0% | 66.7% | |
| 35.71% | 14 | 4.0 | 847 | 11,192 | 33.3% | 37.5% | |
| 46.15% | 14 | 0.8 | 699 | 12,454 | 33.3% | 57.1% | |
| 38.46% | 13 | 4.2 | 859 | 12,423 | 40.0% | 37.5% | |
| 38.46% | 13 | 1.3 | 654 | 11,254 | 0.0% | 50.0% | |
| 45.45% | 12 | 1.3 | 617 | 11,748 | 40.0% | 50.0% | |
| 50.00% | 11 | 3.5 | 692 | 12,326 | 33.3% | 57.1% | |
| 72.73% | 11 | 5.6 | 861 | 12,756 | 60.0% | 83.3% | |
| 10.00% | 10 | 3.3 | 758 | 10,367 | 0.0% | 16.7% | |
| 60.00% | 10 | 4.7 | 802 | 13,100 | 66.7% | 57.1% | |
| 66.67% | 9 | 0.6 | 910 | 13,655 | 50.0% | 80.0% | |
| 50.00% | 8 | 1.5 | 725 | 12,375 | 33.3% | 60.0% | |
| 62.50% | 8 | 2.7 | 803 | 10,634 | 40.0% | 100.0% | |
| 75.00% | 8 | 5.1 | 913 | 13,937 | 100.0% | 66.7% | |
| 50.00% | 6 | 0.8 | 923 | 12,363 | 100.0% | 0.0% | |
| 66.67% | 6 | 4.0 | 832 | 12,055 | 66.7% | 66.7% | |
| 50.00% | 6 | 2.2 | 848 | 14,661 | 0.0% | 60.0% | |
| 33.33% | 6 | 2.3 | 679 | 10,133 | 33.3% | 33.3% | |
| 33.33% | 6 | 4.3 | 662 | 10,608 | 33.3% | 33.3% | |
| 50.00% | 6 | 5.7 | 918 | 13,492 | 50.0% | 50.0% | |
| 33.33% | 6 | 0.9 | 932 | 12,884 | 33.3% | 33.3% | |
| 66.67% | 6 | 4.5 | 779 | 12,390 | 66.7% | 66.7% | |
| 80.00% | 5 | 5.6 | 984 | 11,167 | 100.0% | 50.0% | |
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Pantheon vs Poppy - Frequently Asked Questions
How does Pantheon do against Poppy in League of Legends?
Poppy wins the Pantheon vs Poppy matchup with a 62.8% win rate compared to Pantheon's 37.2%, a 25.6 percentage point difference. This data is based on 44 recent ranked games in patch 26.4.
How does Pantheon do against Poppy in the early game?
In the early game, Poppy has the advantage against Pantheon with a 61.5% win rate versus 38.5%. Poppy players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Pantheon do against Poppy in the late game?
In the late game, Poppy takes over the Pantheon vs Poppy matchup with a 63.3% win rate compared to 36.7%. Poppy scales better into team fights and objective contests after 25 minutes.
Who wins the Pantheon vs Poppy matchup?
Poppy wins the matchup against Pantheon with a 62.8% win rate in League of Legends patch 26.4. The 25.6 percentage point advantage means Poppy is significantly favored in this lane matchup based on 44 games analyzed.
What is the best Pantheon build against Poppy?
The best Pantheon build against Poppy includes Eclipse, Sundered Sky, Black Cleaver with Plated Steelcaps. This build achieves a 33.3% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Pantheon runes against Poppy?
The best Pantheon runes against Poppy use the Precision primary tree with Domination secondary. This rune setup achieves a 27.3% win rate in the Pantheon vs Poppy matchup. See the full rune breakdown in the matchup comparison above.
Does Pantheon counter Poppy?
No, Pantheon struggles against Poppy with only a 37.2% win rate. Poppy has the advantage in this matchup. Pantheon players should focus on safe farming and avoiding extended trades to minimize Poppy's lead.
How do I play Pantheon against Poppy?
When playing Pantheon against Poppy, play cautiously and avoid Poppy's power spikes. Look for jungle assistance and team-dependent plays since Poppy has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.