Kaylevs Fiora
Kayle vs Fiora is a decisive matchup in LoL patch 26.10. Kayle wins with a 58.2% win rate (+16.4%) over Fiora based on 67 games. Kayle holds the advantage in both the early and late game. Below you'll find the best Kayle build, runes, laning stats, and strategies for the Kayle vs Fiora matchup.
Kayle Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Kayle 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 Kayle vs Fiora Matchup?
Kayle vs Fiora Matchup Summary
The Kayle vs Fiora matchup is a decisive matchup in League of Legends ranked play. Based on 67 recent matches analyzed, Kayle wins with a 58.2% win rate compared to Fiora's 41.8%, giving Kayle a 16.4 percentage point advantage. Kayle dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Fiora players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in sustain, where Fiora leads by 907 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Kayle players can confidently pick into Fiora and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Fiora away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Kayle vs Fiora Laning Phase Breakdown
Kayle is favored during the laning phase against Fiora, winning 3 out of 5 key stat categories. Kayle holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Kayle Build Against Fiora
Boots of Swiftness is the optimal boots choice against Fiora, providing the mobility and stats Kayle needs most in this matchup. The top-performing core items for Kayle against Fiora are Nashor's Tooth, Rabadon's Deathcap and Dusk and Dawn. This combination gives Kayle an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 85.7% win rate across 7 games — well above average and making it the top item path against Fiora. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Kayle vs Fiora matchup.
Early Game vs Late Game
Kayle52.8%
Fiora47.2%Kayle64.5%Fiora35.5%Kayle dominates the early game (first 15 minutes) with a commanding 52.8% win rate — a 5.6 percentage point lead over Fiora. This lopsided early game means Kayle can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Kayle is far superior in the late game (25+ minutes), boasting a 64.5% win rate — 29.0 points above Fiora. Extended games heavily favor Kayle, whose kit and scaling make them a dominant force in team fights and objective control.
Kayle holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Fiora players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Kayle Runes Against Fiora
Precision
Sorcery
Running Precision primary with Sorcery secondary allows Kayle to press their advantage against Fiora, amplifying the strengths that make this a favorable matchup.
Kayle matchup data for League of Legends patch 26.10. The table below shows Kayle'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 Kayle 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% | 277 | 7.4 | 858 | 12,528 | 43.7% | 53.8% | |
| 43.55% | 186 | 6.9 | 598 | 11,319 | 37.7% | 47.7% | |
| 53.89% | 167 | 6.6 | 616 | 11,197 | 36.2% | 66.3% | |
| 45.96% | 161 | 6.8 | 756 | 11,577 | 38.6% | 51.6% | |
| 47.80% | 159 | 6.7 | 755 | 11,586 | 42.0% | 52.2% | |
| 54.41% | 136 | 7.0 | 947 | 12,312 | 46.0% | 61.6% | |
| 56.25% | 128 | 7.0 | 950 | 12,442 | 35.3% | 70.1% | |
| 48.76% | 121 | 6.8 | 792 | 12,045 | 43.1% | 52.9% | |
| 43.97% | 116 | 7.0 | 859 | 11,336 | 41.5% | 46.0% | |
| 50.44% | 113 | 7.0 | 727 | 12,658 | 46.0% | 52.6% | |
| 59.79% | 97 | 7.1 | 744 | 12,307 | 42.1% | 71.2% | |
| 47.87% | 94 | 7.2 | 754 | 12,173 | 40.5% | 52.6% | |
| 48.35% | 91 | 7.2 | 1,116 | 11,105 | 41.9% | 54.2% | |
| 65.56% | 90 | 7.0 | 828 | 12,727 | 75.0% | 59.3% | |
| 40.45% | 89 | 6.6 | 660 | 11,694 | 31.3% | 45.6% | |
| 44.19% | 86 | 6.7 | 779 | 10,586 | 37.8% | 51.2% | |
| 52.33% | 86 | 7.2 | 962 | 12,015 | 40.0% | 63.0% | |
| 52.33% | 86 | 7.8 | 865 | 12,381 | 46.0% | 57.1% | |
| 50.59% | 85 | 7.3 | 866 | 12,441 | 54.3% | 48.0% | |
| 56.63% | 83 | 7.4 | 781 | 12,620 | 42.9% | 63.6% | |
| 56.58% | 76 | 7.0 | 635 | 11,742 | 59.5% | 53.9% | |
| 52.00% | 75 | 6.8 | 720 | 12,295 | 31.0% | 65.2% | |
| 44.93% | 69 | 6.6 | 624 | 11,040 | 35.7% | 51.2% | |
| 58.21% | 67 | 7.1 | 834 | 12,218 | 52.8% | 64.5% | |
| 46.97% | 66 | 7.2 | 671 | 11,875 | 48.3% | 46.0% | |
| 63.33% | 60 | 6.9 | 787 | 12,265 | 54.2% | 69.4% | |
| 49.12% | 57 | 6.7 | 603 | 11,071 | 33.3% | 60.6% | |
| 44.64% | 56 | 6.9 | 832 | 12,553 | 28.6% | 54.3% | |
| 55.36% | 56 | 7.6 | 698 | 12,691 | 43.5% | 63.6% | |
| 55.36% | 56 | 7.3 | 864 | 12,915 | 61.1% | 52.6% | |
| 50.00% | 54 | 6.7 | 711 | 11,684 | 42.9% | 57.7% | |
| 64.81% | 54 | 6.8 | 763 | 11,909 | 56.0% | 72.4% | |
| 54.72% | 53 | 6.6 | 861 | 11,492 | 29.2% | 75.9% | |
| 60.38% | 53 | 6.8 | 731 | 10,816 | 70.8% | 51.7% | |
| 64.71% | 51 | 7.1 | 762 | 13,088 | 64.7% | 64.7% | |
| 58.33% | 48 | 6.9 | 648 | 11,904 | 62.5% | 54.2% | |
| 54.55% | 44 | 6.9 | 817 | 11,658 | 40.9% | 68.2% | |
| 45.45% | 44 | 6.9 | 733 | 11,740 | 45.8% | 45.0% | |
| 60.00% | 40 | 6.8 | 660 | 11,535 | 58.3% | 62.5% | |
| 44.74% | 38 | 7.0 | 806 | 12,506 | 35.7% | 50.0% | |
| 55.56% | 36 | 6.3 | 779 | 11,506 | 44.4% | 66.7% | |
| 63.89% | 36 | 7.0 | 918 | 13,136 | 50.0% | 72.7% | |
| 38.24% | 34 | 6.6 | 606 | 10,658 | 57.1% | 25.0% | |
| 58.82% | 34 | 6.8 | 696 | 11,278 | 50.0% | 68.8% | |
| 63.64% | 33 | 6.6 | 664 | 12,742 | 60.0% | 65.2% | |
| 50.00% | 32 | 6.9 | 773 | 10,741 | 40.0% | 58.8% | |
| 59.38% | 32 | 7.2 | 724 | 12,528 | 41.7% | 70.0% | |
| 41.38% | 29 | 7.1 | 728 | 11,893 | 29.4% | 58.3% | |
| 35.71% | 28 | 6.7 | 677 | 11,089 | 23.1% | 46.7% | |
| 40.74% | 27 | 7.1 | 840 | 11,539 | 42.9% | 38.5% | |
| 62.96% | 27 | 6.8 | 760 | 11,857 | 60.0% | 66.7% | |
| 70.37% | 27 | 6.4 | 582 | 10,492 | 66.7% | 75.0% | |
| 57.69% | 26 | 5.8 | 710 | 11,804 | 61.5% | 53.9% | |
| 73.08% | 26 | 6.9 | 695 | 12,081 | 54.5% | 86.7% | |
| 57.69% | 26 | 6.6 | 818 | 11,783 | 44.4% | 64.7% | |
| 42.31% | 26 | 7.7 | 840 | 14,011 | 12.5% | 55.6% | |
| 47.83% | 23 | 7.4 | 773 | 11,931 | 41.7% | 54.5% | |
| 45.45% | 22 | 7.1 | 830 | 13,964 | 0.0% | 58.8% | |
| 45.45% | 22 | 7.1 | 686 | 11,222 | 60.0% | 33.3% | |
| 60.00% | 20 | 6.6 | 722 | 13,042 | 50.0% | 66.7% | |
| 45.00% | 20 | 6.6 | 736 | 9,946 | 27.3% | 66.7% | |
| 57.89% | 19 | 6.8 | 967 | 14,262 | 50.0% | 61.5% | |
| 44.44% | 18 | 7.2 | 682 | 11,314 | 50.0% | 40.0% | |
| 47.06% | 17 | 6.9 | 628 | 9,820 | 36.4% | 66.7% | |
| 52.94% | 17 | 7.0 | 797 | 11,647 | 60.0% | 42.9% | |
| 52.94% | 17 | 6.8 | 756 | 12,685 | 37.5% | 66.7% | |
| 23.53% | 17 | 7.1 | 697 | 11,830 | 12.5% | 33.3% | |
| 43.75% | 16 | 7.0 | 499 | 11,056 | 25.0% | 62.5% | |
| 57.14% | 14 | 6.8 | 754 | 13,487 | 0.0% | 88.9% | |
| 64.29% | 14 | 7.1 | 673 | 13,020 | 57.1% | 71.4% | |
| 69.23% | 13 | 6.5 | 685 | 12,173 | 60.0% | 75.0% | |
| 61.54% | 13 | 7.2 | 833 | 13,357 | 50.0% | 66.7% | |
| 66.67% | 12 | 5.5 | 1,088 | 12,083 | 40.0% | 85.7% | |
| 50.00% | 12 | 8.0 | 689 | 12,148 | 16.7% | 83.3% | |
| 41.67% | 12 | 7.6 | 676 | 11,664 | 60.0% | 28.6% | |
| 45.45% | 11 | 7.1 | 587 | 11,632 | 50.0% | 42.9% | |
| 81.82% | 11 | 7.5 | 937 | 12,400 | 83.3% | 80.0% | |
| 27.27% | 11 | 6.9 | 573 | 11,778 | 0.0% | 37.5% | |
| 45.45% | 11 | 7.6 | 783 | 13,607 | 50.0% | 42.9% | |
| 36.36% | 11 | 7.5 | 674 | 10,889 | 14.3% | 75.0% | |
| 63.64% | 11 | 6.3 | 745 | 12,815 | 50.0% | 80.0% | |
| 70.00% | 10 | 7.6 | 794 | 12,148 | 60.0% | 80.0% | |
| 40.00% | 10 | 5.7 | 470 | 9,138 | 28.6% | 66.7% | |
| 77.78% | 9 | 7.0 | 841 | 14,300 | 50.0% | 85.7% | |
| 33.33% | 9 | 7.0 | 597 | 11,747 | 25.0% | 40.0% | |
| 66.67% | 9 | 7.5 | 724 | 14,936 | 66.7% | 66.7% | |
| 66.67% | 9 | 7.5 | 807 | 12,778 | 66.7% | 66.7% | |
| 44.44% | 9 | 7.6 | 625 | 8,346 | 40.0% | 50.0% | |
| 44.44% | 9 | 6.8 | 859 | 10,489 | 33.3% | 50.0% | |
| 62.50% | 8 | 3.8 | 370 | 9,450 | 60.0% | 66.7% | |
| 50.00% | 8 | 7.6 | 691 | 13,490 | 0.0% | 57.1% | |
| 50.00% | 8 | 8.0 | 1,005 | 13,940 | 66.7% | 40.0% | |
| 62.50% | 8 | 4.3 | 508 | 7,669 | 66.7% | 50.0% | |
| 50.00% | 8 | 5.5 | 892 | 13,394 | 66.7% | 40.0% | |
| 37.50% | 8 | 5.5 | 631 | 10,704 | 0.0% | 60.0% | |
| 42.86% | 7 | 6.5 | 511 | 12,724 | 50.0% | 33.3% | |
| 57.14% | 7 | 7.1 | 567 | 13,956 | 100.0% | 40.0% | |
| 83.33% | 6 | 6.2 | 596 | 10,989 | 66.7% | 100.0% | |
| 16.67% | 6 | 6.2 | 491 | 10,307 | 25.0% | 0.0% | |
| 33.33% | 6 | 5.7 | 783 | 13,379 | 0.0% | 40.0% | |
| 50.00% | 6 | 6.0 | 432 | 9,709 | 33.3% | 66.7% | |
| 66.67% | 6 | 6.6 | 841 | 12,044 | 66.7% | 66.7% | |
| 33.33% | 6 | 7.0 | 570 | 10,498 | 50.0% | 25.0% | |
| 50.00% | 6 | 7.3 | 572 | 9,689 | 40.0% | 100.0% | |
| 50.00% | 6 | 4.3 | 650 | 8,640 | 40.0% | 100.0% | |
| 20.00% | 5 | 5.3 | 519 | 9,644 | 0.0% | 33.3% | |
| 60.00% | 5 | 7.5 | 699 | 12,960 | 0.0% | 75.0% | |
| 20.00% | 5 | 2.2 | 248 | 8,624 | 50.0% | 0.0% | |
| 60.00% | 5 | 5.5 | 397 | 9,134 | 50.0% | 100.0% | |
| 80.00% | 5 | 5.9 | 862 | 12,183 | 50.0% | 100.0% | |
| 100.00% | 5 | 3.7 | 692 | 12,056 | 100.0% | 100.0% | |
| 40.00% | 5 | 2.3 | 233 | 6,686 | 40.0% | 0.0% | |
| 60.00% | 5 | 6.4 | 856 | 12,945 | 100.0% | 33.3% | |
| 80.00% | 5 | 6.6 | 968 | 11,345 | 100.0% | 66.7% | |
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Kayle vs Fiora - Frequently Asked Questions
How does Kayle do against Fiora in League of Legends?
Kayle wins the Kayle vs Fiora matchup with a 58.2% win rate compared to Fiora's 41.8%, a 16.4 percentage point difference. This data is based on 67 recent ranked games in patch 26.10.
How does Kayle do against Fiora in the early game?
In the early game, Kayle has the advantage against Fiora with a 52.8% win rate versus 47.2%. Kayle players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Kayle do against Fiora in the late game?
In the late game, Kayle takes over the Kayle vs Fiora matchup with a 64.5% win rate compared to 35.5%. Kayle scales better into team fights and objective contests after 25 minutes.
Who wins the Kayle vs Fiora matchup?
Kayle wins the matchup against Fiora with a 58.2% win rate in League of Legends patch 26.10. The 16.4 percentage point advantage means Kayle is significantly favored in this lane matchup based on 67 games analyzed.
What is the best Kayle build against Fiora?
The best Kayle build against Fiora includes Nashor's Tooth, Rabadon's Deathcap, Dusk and Dawn with Boots of Swiftness. This build achieves a 85.7% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Kayle runes against Fiora?
The best Kayle runes against Fiora use the Precision primary tree with Sorcery secondary. This rune setup achieves a 80.0% win rate in the Kayle vs Fiora matchup. See the full rune breakdown in the matchup comparison above.
Does Kayle counter Fiora?
Yes, Kayle has a favorable matchup against Fiora with a 58.2% win rate. Kayle strongly counters Fiora in lane based on current patch 26.10 data.
How do I play Kayle against Fiora?
When playing Kayle against Fiora, 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.