
Pantheonvs Kai'Sa
Pantheon vs Kai'Sa is a decisive matchup in LoL patch 26.9. Pantheon wins with a 66.7% win rate (+33.3%) over Kai'Sa based on 6 games. Pantheon 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 Kai'Sa 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.
Who Wins the Pantheon vs Kai'Sa Matchup?

Pantheon vs Kai'Sa Matchup Summary
The Pantheon vs Kai'Sa matchup is a decisive matchup in League of Legends ranked play. Based on 6 recent matches analyzed, Pantheon wins with a 66.7% win rate compared to Kai'Sa's 33.3%, giving Pantheon a 33.3 percentage point advantage. Pantheon dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Kai'Sa 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 Pantheon leads by 0.8s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Pantheon players can confidently pick into Kai'Sa and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Kai'Sa away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Pantheon vs Kai'Sa Laning Phase Breakdown
Kai'Sa is favored during the laning phase against Pantheon, winning 3 out of 5 key stat categories. Kai'Sa holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Pantheon Build Against Kai'Sa
Mercury's Treads is the optimal boots choice against Kai'Sa, providing the mobility and stats Pantheon needs most in this matchup. The top-performing core items for Pantheon against Kai'Sa are Serpent's Fang, Eclipse and Sundered Sky. This combination gives Pantheon an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 100.0% win rate across 1 games — well above average and making it the top item path against Kai'Sa. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Pantheon vs Kai'Sa matchup.
Early Game vs Late Game
The early game (first 15 minutes) is a toss-up between Pantheon and Kai'Sa, with Pantheon 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.
Pantheon is far superior in the late game (25+ minutes), boasting a 75.0% win rate — 50.0 points above Kai'Sa. Extended games heavily favor Pantheon, whose kit and scaling make them a dominant force in team fights and objective control.
Pantheon holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Kai'Sa players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Pantheon Runes Against Kai'Sa
Running Precision primary with Sorcery secondary allows Pantheon to press their advantage against Kai'Sa, amplifying the strengths that make this a favorable matchup.
Pantheon matchup data for League of Legends patch 26.9. 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 |
|---|---|---|---|---|---|---|---|
| 44.44% | 108 | 1.6 | 654 | 10,168 | 40.5% | 47.0% | |
| 42.16% | 102 | 2.1 | 696 | 10,694 | 43.9% | 41.0% | |
| 56.70% | 97 | 1.5 | 654 | 9,492 | 47.8% | 64.7% | |
| 51.90% | 79 | 2.2 | 713 | 10,434 | 46.0% | 57.1% | |
| 51.35% | 74 | 1.4 | 725 | 10,394 | 41.7% | 60.5% | |
| 51.39% | 72 | 1.5 | 657 | 9,970 | 64.7% | 39.5% | |
| 43.66% | 71 | 1.5 | 691 | 10,095 | 43.3% | 43.9% | |
| 50.00% | 70 | 4.3 | 779 | 12,800 | 50.0% | 50.0% | |
| 44.93% | 69 | 1.8 | 664 | 9,921 | 43.8% | 46.0% | |
| 47.46% | 59 | 6.0 | 963 | 12,056 | 25.0% | 59.0% | |
| 56.14% | 57 | 1.5 | 716 | 10,718 | 63.6% | 51.4% | |
| 61.40% | 57 | 5.8 | 976 | 11,422 | 67.9% | 55.2% | |
| 56.14% | 57 | 5.5 | 856 | 11,741 | 56.5% | 55.9% | |
| 45.45% | 55 | 2.8 | 915 | 11,460 | 47.8% | 43.8% | |
| 47.27% | 55 | 1.4 | 670 | 10,262 | 36.4% | 54.5% | |
| 56.00% | 51 | 1.4 | 669 | 10,030 | 73.9% | 40.7% | |
| 43.14% | 51 | 4.7 | 756 | 10,889 | 43.5% | 42.9% | |
| 66.67% | 48 | 5.4 | 977 | 11,628 | 70.4% | 61.9% | |
| 41.67% | 48 | 1.6 | 715 | 11,000 | 40.9% | 42.3% | |
| 45.83% | 48 | 5.2 | 921 | 12,531 | 64.3% | 38.2% | |
| 32.61% | 46 | 1.4 | 637 | 10,158 | 43.5% | 21.7% | |
| 58.70% | 46 | 5.4 | 1,023 | 10,476 | 72.0% | 42.9% | |
| 48.89% | 45 | 1.6 | 792 | 13,393 | 38.5% | 53.1% | |
| 40.91% | 44 | 1.5 | 722 | 10,929 | 41.7% | 40.6% | |
| 52.38% | 42 | 5.0 | 876 | 11,463 | 63.2% | 43.5% | |
| 46.34% | 41 | 1.8 | 770 | 10,637 | 66.7% | 34.6% | |
| 41.03% | 39 | 2.1 | 761 | 11,470 | 12.5% | 60.9% | |
| 46.15% | 39 | 0.8 | 683 | 12,274 | 41.2% | 50.0% | |
| 53.85% | 39 | 2.4 | 748 | 11,178 | 60.0% | 50.0% | |
| 51.28% | 39 | 1.8 | 767 | 12,256 | 55.6% | 50.0% | |
| 51.28% | 39 | 1.4 | 660 | 10,303 | 46.7% | 54.2% | |
| 36.84% | 38 | 1.2 | 674 | 10,394 | 40.0% | 34.8% | |
| 73.68% | 38 | 5.8 | 992 | 12,466 | 58.8% | 85.7% | |
| 60.53% | 38 | 1.4 | 813 | 10,718 | 68.2% | 50.0% | |
| 43.24% | 37 | 2.5 | 873 | 12,371 | 43.8% | 42.9% | |
| 40.54% | 37 | 4.2 | 833 | 12,127 | 53.9% | 33.3% | |
| 27.03% | 37 | 2.8 | 796 | 11,297 | 31.6% | 22.2% | |
| 41.67% | 36 | 2.1 | 704 | 10,513 | 55.6% | 27.8% | |
| 51.43% | 35 | 1.5 | 764 | 11,093 | 85.7% | 28.6% | |
| 57.14% | 35 | 1.6 | 706 | 10,879 | 66.7% | 52.2% | |
| 41.18% | 34 | 1.4 | 662 | 9,290 | 42.1% | 40.0% | |
| 44.12% | 34 | 5.0 | 857 | 12,919 | 38.5% | 47.6% | |
| 51.52% | 33 | 1.1 | 815 | 13,467 | 42.9% | 57.9% | |
| 42.42% | 33 | 5.3 | 1,130 | 10,674 | 40.0% | 44.4% | |
| 43.75% | 32 | 2.6 | 810 | 12,106 | 45.5% | 42.9% | |
| 56.25% | 32 | 5.2 | 875 | 11,486 | 53.9% | 57.9% | |
| 40.63% | 32 | 1.6 | 692 | 11,686 | 30.8% | 47.4% | |
| 51.61% | 31 | 4.9 | 890 | 10,876 | 64.3% | 41.2% | |
| 63.33% | 30 | 6.3 | 929 | 11,587 | 73.7% | 45.5% | |
| 31.03% | 29 | 1.4 | 605 | 10,426 | 13.3% | 50.0% | |
| 37.93% | 29 | 4.8 | 998 | 11,307 | 14.3% | 60.0% | |
| 41.38% | 29 | 5.5 | 832 | 10,762 | 40.0% | 42.9% | |
| 24.14% | 29 | 4.3 | 766 | 10,594 | 9.1% | 33.3% | |
| 72.41% | 29 | 2.8 | 768 | 10,481 | 57.1% | 77.3% | |
| 39.29% | 28 | 5.1 | 990 | 12,088 | 33.3% | 43.8% | |
| 32.14% | 28 | 6.3 | 901 | 12,003 | 30.8% | 33.3% | |
| 42.86% | 28 | 1.1 | 673 | 13,397 | 70.0% | 27.8% | |
| 40.74% | 27 | 1.0 | 661 | 10,084 | 38.5% | 42.9% | |
| 66.67% | 27 | 5.1 | 925 | 10,289 | 75.0% | 60.0% | |
| 44.44% | 27 | 1.0 | 733 | 12,859 | 37.5% | 47.4% | |
| 25.93% | 27 | 1.4 | 776 | 10,504 | 12.5% | 31.6% | |
| 46.15% | 26 | 4.7 | 949 | 10,921 | 63.6% | 33.3% | |
| 65.38% | 26 | 5.5 | 922 | 11,950 | 54.5% | 73.3% | |
| 46.15% | 26 | 5.5 | 777 | 9,624 | 53.9% | 38.5% | |
| 40.00% | 25 | 1.7 | 768 | 11,070 | 45.5% | 35.7% | |
| 36.00% | 25 | 5.1 | 783 | 10,190 | 18.2% | 50.0% | |
| 48.00% | 25 | 1.7 | 696 | 10,646 | 75.0% | 35.3% | |
| 58.33% | 24 | 2.6 | 769 | 11,167 | 60.0% | 57.1% | |
| 56.52% | 23 | 5.6 | 795 | 11,385 | 54.5% | 58.3% | |
| 52.17% | 23 | 5.6 | 966 | 13,232 | 33.3% | 58.8% | |
| 40.91% | 22 | 1.5 | 726 | 10,292 | 28.6% | 46.7% | |
| 54.55% | 22 | 2.9 | 820 | 12,275 | 42.9% | 60.0% | |
| 31.82% | 22 | 3.7 | 758 | 10,501 | 36.4% | 27.3% | |
| 50.00% | 22 | 1.0 | 625 | 10,341 | 58.8% | 20.0% | |
| 30.00% | 20 | 5.9 | 868 | 11,650 | 37.5% | 25.0% | |
| 65.00% | 20 | 5.9 | 907 | 13,189 | 75.0% | 58.3% | |
| 50.00% | 20 | 1.7 | 666 | 11,238 | 66.7% | 42.9% | |
| 55.00% | 20 | 0.8 | 689 | 12,112 | 75.0% | 41.7% | |
| 55.00% | 20 | 1.4 | 642 | 10,538 | 85.7% | 38.5% | |
| 45.00% | 20 | 5.9 | 833 | 11,861 | 50.0% | 42.9% | |
| 36.84% | 19 | 5.7 | 941 | 11,435 | 37.5% | 36.4% | |
| 63.16% | 19 | 3.0 | 898 | 10,293 | 50.0% | 77.8% | |
| 42.11% | 19 | 5.1 | 816 | 10,296 | 30.0% | 55.6% | |
| 22.22% | 18 | 1.4 | 647 | 8,697 | 25.0% | 20.0% | |
| 55.56% | 18 | 2.2 | 795 | 10,254 | 54.5% | 57.1% | |
| 55.56% | 18 | 1.3 | 841 | 13,932 | 50.0% | 57.1% | |
| 50.00% | 18 | 1.4 | 743 | 8,700 | 54.5% | 42.9% | |
| 44.44% | 18 | 1.2 | 752 | 10,891 | 37.5% | 50.0% | |
| 55.56% | 18 | 5.7 | 1,004 | 13,154 | 50.0% | 57.1% | |
| 33.33% | 18 | 4.0 | 699 | 10,985 | 37.5% | 30.0% | |
| 44.44% | 18 | 5.5 | 805 | 10,350 | 50.0% | 37.5% | |
| 64.71% | 17 | 3.0 | 833 | 14,494 | 0.0% | 73.3% | |
| 70.59% | 17 | 5.4 | 1,003 | 11,212 | 71.4% | 70.0% | |
| 41.18% | 17 | 1.0 | 703 | 11,342 | 36.4% | 50.0% | |
| 52.94% | 17 | 2.0 | 750 | 12,569 | 71.4% | 40.0% | |
| 52.94% | 17 | 5.5 | 840 | 11,619 | 33.3% | 63.6% | |
| 62.50% | 16 | 5.9 | 713 | 12,421 | 80.0% | 54.5% | |
| 37.50% | 16 | 4.6 | 837 | 11,651 | 28.6% | 44.4% | |
| 46.67% | 15 | 3.9 | 864 | 13,111 | 40.0% | 50.0% | |
| 46.67% | 15 | 1.6 | 780 | 11,694 | 50.0% | 44.4% | |
| 60.00% | 15 | 3.6 | 833 | 12,064 | 75.0% | 54.5% | |
| 46.67% | 15 | 5.8 | 861 | 12,205 | 66.7% | 33.3% | |
| 66.67% | 15 | 0.9 | 788 | 13,886 | 80.0% | 60.0% | |
| 33.33% | 15 | 4.8 | 842 | 12,470 | 16.7% | 44.4% | |
| 61.54% | 13 | 4.0 | 824 | 11,817 | 25.0% | 77.8% | |
| 38.46% | 13 | 1.0 | 659 | 12,182 | 25.0% | 44.4% | |
| 61.54% | 13 | 1.1 | 737 | 13,172 | 60.0% | 62.5% | |
| 61.54% | 13 | 0.7 | 725 | 12,553 | 66.7% | 57.1% | |
| 46.15% | 13 | 2.2 | 819 | 12,196 | 50.0% | 44.4% | |
| 38.46% | 13 | 3.8 | 952 | 13,801 | 50.0% | 33.3% | |
| 58.33% | 12 | 3.6 | 860 | 10,916 | 50.0% | 66.7% | |
| 91.67% | 12 | 5.1 | 987 | 11,409 | 83.3% | 100.0% | |
| 66.67% | 12 | 5.9 | 1,108 | 11,884 | 50.0% | 75.0% | |
| 66.67% | 12 | 5.3 | 807 | 11,076 | 100.0% | 50.0% | |
| 58.33% | 12 | 4.2 | 737 | 11,531 | 66.7% | 50.0% | |
| 75.00% | 12 | 2.8 | 880 | 13,513 | 100.0% | 66.7% | |
| 54.55% | 11 | 4.1 | 696 | 10,304 | 50.0% | 57.1% | |
| 36.36% | 11 | 1.1 | 810 | 13,977 | 25.0% | 42.9% | |
| 50.00% | 10 | 5.4 | 675 | 11,418 | 60.0% | 40.0% | |
| 40.00% | 10 | 5.1 | 738 | 10,782 | 33.3% | 42.9% | |
| 50.00% | 10 | 5.3 | 865 | 11,648 | 66.7% | 42.9% | |
| 70.00% | 10 | 1.4 | 653 | 11,528 | 33.3% | 85.7% | |
| 50.00% | 10 | 4.2 | 788 | 10,542 | 75.0% | 33.3% | |
| 44.44% | 9 | 2.5 | 555 | 11,586 | 50.0% | 40.0% | |
| 44.44% | 9 | 1.9 | 762 | 12,842 | 20.0% | 75.0% | |
| 66.67% | 9 | 4.6 | 894 | 12,554 | 50.0% | 80.0% | |
| 55.56% | 9 | 4.9 | 978 | 13,030 | 66.7% | 50.0% | |
| 55.56% | 9 | 0.8 | 840 | 13,832 | 66.7% | 50.0% | |
| 88.89% | 9 | 5.3 | 1,013 | 12,695 | 100.0% | 83.3% | |
| 66.67% | 9 | 1.2 | 579 | 8,898 | 83.3% | 33.3% | |
| 62.50% | 8 | 5.1 | 985 | 12,047 | 0.0% | 100.0% | |
| 50.00% | 8 | 2.2 | 747 | 12,177 | 25.0% | 75.0% | |
| 50.00% | 8 | 1.5 | 764 | 10,927 | 60.0% | 33.3% | |
| 25.00% | 8 | 0.9 | 581 | 11,661 | 0.0% | 40.0% | |
| 25.00% | 8 | 3.6 | 728 | 11,401 | 33.3% | 20.0% | |
| 50.00% | 8 | 3.8 | 709 | 11,266 | 100.0% | 0.0% | |
| 25.00% | 8 | 2.1 | 1,028 | 15,054 | 33.3% | 20.0% | |
| 75.00% | 8 | 5.4 | 937 | 12,527 | 66.7% | 80.0% | |
| 75.00% | 8 | 1.2 | 783 | 12,576 | 75.0% | 75.0% | |
| 42.86% | 7 | 3.5 | 977 | 12,567 | 100.0% | 0.0% | |
| 71.43% | 7 | 6.2 | 989 | 9,478 | 100.0% | 33.3% | |
| 0.00% | 7 | 3.1 | 563 | 6,952 | 0.0% | 0.0% | |
| 57.14% | 7 | 5.0 | 941 | 10,618 | 50.0% | 66.7% | |
| 57.14% | 7 | 5.3 | 781 | 10,261 | 33.3% | 75.0% | |
| 50.00% | 6 | 4.4 | 747 | 12,740 | 0.0% | 60.0% | |
| 50.00% | 6 | 4.8 | 1,116 | 11,367 | 33.3% | 66.7% | |
| 66.67% | 6 | 4.1 | 674 | 10,241 | 50.0% | 75.0% | |
| 80.00% | 5 | 2.5 | 674 | 10,103 | 100.0% | 50.0% | |
| 60.00% | 5 | 4.5 | 816 | 9,783 | 100.0% | 0.0% | |
| 60.00% | 5 | 4.6 | 925 | 11,721 | 66.7% | 50.0% | |
| 80.00% | 5 | 3.0 | 780 | 14,607 | 0.0% | 100.0% | |
| 40.00% | 5 | 5.2 | 1,177 | 15,196 | 66.7% | 0.0% | |
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Pantheon vs Kai'Sa - Frequently Asked Questions
How does Pantheon do against Kai'Sa in League of Legends?
Pantheon wins the Pantheon vs Kai'Sa matchup with a 66.7% win rate compared to Kai'Sa's 33.3%, a 33.3 percentage point difference. This data is based on 6 recent ranked games in patch 26.9.
How does Pantheon do against Kai'Sa in the early game?
In the early game, Pantheon has the advantage against Kai'Sa with a 50.0% win rate versus 50.0%. Pantheon players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Pantheon do against Kai'Sa in the late game?
In the late game, Pantheon takes over the Pantheon vs Kai'Sa matchup with a 75.0% win rate compared to 25.0%. Pantheon scales better into team fights and objective contests after 25 minutes.
Who wins the Pantheon vs Kai'Sa matchup?
Pantheon wins the matchup against Kai'Sa with a 66.7% win rate in League of Legends patch 26.9. The 33.3 percentage point advantage means Pantheon is significantly favored in this lane matchup based on 6 games analyzed.
What is the best Pantheon build against Kai'Sa?
The best Pantheon build against Kai'Sa includes Serpent's Fang, Eclipse, Sundered Sky with Mercury's Treads. This build achieves a 100.0% 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 Kai'Sa?
The best Pantheon runes against Kai'Sa use the Precision primary tree with Sorcery secondary. This rune setup achieves a 100.0% win rate in the Pantheon vs Kai'Sa matchup. See the full rune breakdown in the matchup comparison above.
Does Pantheon counter Kai'Sa?
Yes, Pantheon has a favorable matchup against Kai'Sa with a 66.7% win rate. Pantheon strongly counters Kai'Sa in lane based on current patch 26.9 data.
How do I play Pantheon against Kai'Sa?
When playing Pantheon against Kai'Sa, 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.
