Kaylevs Olaf
Kayle vs Olaf is a decisive matchup in LoL patch 26.10. Kayle wins with a 57.9% win rate (+15.8%) over Olaf based on 57 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 Olaf 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 Olaf Matchup?
Kayle vs Olaf Matchup Summary
The Kayle vs Olaf matchup is a decisive matchup in League of Legends ranked play. Based on 57 recent matches analyzed, Kayle wins with a 57.9% win rate compared to Olaf's 42.1%, giving Kayle a 15.8 percentage point advantage. Kayle dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Olaf players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in sustain, where Olaf leads by 1,039 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Kayle players can confidently pick into Olaf and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Olaf 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 Olaf Laning Phase Breakdown
Olaf is favored during the laning phase against Kayle, winning 4 out of 5 key stat categories. Olaf holds advantages in damage, gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Kayle Build Against Olaf
Boots of Swiftness is the optimal boots choice against Olaf, providing the mobility and stats Kayle needs most in this matchup. The top-performing core items for Kayle against Olaf are Shadowflame, Nashor's Tooth and Rabadon's Deathcap. This combination gives Kayle an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 71.4% win rate across 7 games — well above average and making it the top item path against Olaf. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Kayle vs Olaf matchup.
Early Game vs Late Game
Kayle52.0%
Olaf48.0%Kayle62.5%Olaf37.5%During the early laning phase (first 15 minutes), Kayle has a meaningful 52.0% win rate, outperforming Olaf by 4.0 percentage points. Kayle players should look to press this advantage through aggressive trades, wave priority, and early jungle coordination.
Kayle is far superior in the late game (25+ minutes), boasting a 62.5% win rate — 25.0 points above Olaf. 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. Olaf players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Kayle Runes Against Olaf
Precision
Sorcery
Running Precision primary with Sorcery secondary allows Kayle to press their advantage against Olaf, 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 |
|---|---|---|---|---|---|---|---|
| 53.63% | 317 | 7.6 | 861 | 12,209 | 46.8% | 59.1% | |
| 49.40% | 168 | 6.9 | 616 | 11,770 | 37.9% | 56.9% | |
| 50.93% | 161 | 6.8 | 752 | 11,444 | 42.9% | 56.1% | |
| 56.38% | 149 | 7.0 | 847 | 12,417 | 46.9% | 63.5% | |
| 64.12% | 131 | 7.2 | 954 | 12,963 | 66.7% | 62.6% | |
| 43.85% | 130 | 6.6 | 633 | 11,085 | 26.4% | 55.8% | |
| 49.21% | 126 | 7.1 | 769 | 11,966 | 39.6% | 56.2% | |
| 47.93% | 121 | 6.9 | 907 | 11,352 | 43.3% | 52.5% | |
| 47.01% | 117 | 7.3 | 946 | 11,971 | 41.1% | 52.5% | |
| 58.65% | 104 | 6.7 | 679 | 11,920 | 46.3% | 66.7% | |
| 50.00% | 102 | 7.1 | 758 | 11,750 | 44.9% | 54.7% | |
| 45.92% | 98 | 7.2 | 815 | 10,839 | 40.9% | 50.0% | |
| 41.84% | 98 | 6.6 | 768 | 11,611 | 25.0% | 53.5% | |
| 52.17% | 92 | 7.0 | 774 | 12,313 | 45.7% | 56.1% | |
| 42.53% | 87 | 7.5 | 839 | 12,379 | 33.3% | 49.0% | |
| 59.30% | 86 | 6.9 | 873 | 12,065 | 54.3% | 62.8% | |
| 57.83% | 83 | 7.0 | 754 | 11,673 | 34.4% | 72.5% | |
| 53.85% | 78 | 7.3 | 885 | 11,470 | 34.1% | 75.7% | |
| 57.89% | 76 | 7.0 | 1,144 | 11,704 | 58.8% | 57.1% | |
| 47.37% | 76 | 6.7 | 813 | 11,486 | 37.5% | 54.5% | |
| 56.00% | 75 | 7.1 | 790 | 12,938 | 53.1% | 58.1% | |
| 54.05% | 74 | 7.0 | 802 | 12,091 | 39.3% | 63.0% | |
| 56.16% | 73 | 6.9 | 658 | 11,415 | 45.5% | 65.0% | |
| 36.99% | 73 | 6.9 | 695 | 11,194 | 25.0% | 51.5% | |
| 53.85% | 65 | 6.4 | 589 | 11,177 | 50.0% | 56.1% | |
| 53.23% | 62 | 7.7 | 866 | 12,264 | 50.0% | 55.3% | |
| 41.94% | 62 | 7.1 | 684 | 11,628 | 41.7% | 42.1% | |
| 52.46% | 61 | 6.2 | 814 | 10,925 | 56.0% | 50.0% | |
| 51.67% | 60 | 7.0 | 664 | 12,315 | 42.3% | 58.8% | |
| 57.89% | 57 | 7.0 | 770 | 11,436 | 52.0% | 62.5% | |
| 52.63% | 57 | 7.6 | 722 | 13,086 | 30.0% | 64.9% | |
| 57.14% | 56 | 6.9 | 764 | 12,449 | 65.0% | 52.8% | |
| 40.74% | 54 | 6.3 | 701 | 11,071 | 20.8% | 56.7% | |
| 49.06% | 53 | 6.6 | 612 | 11,372 | 45.8% | 51.7% | |
| 63.46% | 52 | 7.4 | 857 | 12,435 | 68.4% | 60.6% | |
| 57.45% | 47 | 6.7 | 642 | 12,106 | 50.0% | 64.0% | |
| 47.83% | 46 | 7.1 | 696 | 11,847 | 33.3% | 57.1% | |
| 44.19% | 43 | 7.3 | 758 | 10,866 | 47.8% | 40.0% | |
| 46.51% | 43 | 7.2 | 808 | 11,603 | 33.3% | 63.2% | |
| 53.66% | 41 | 6.6 | 731 | 10,612 | 50.0% | 58.8% | |
| 66.67% | 39 | 7.2 | 872 | 11,276 | 57.9% | 75.0% | |
| 50.00% | 38 | 7.0 | 639 | 12,742 | 46.7% | 52.2% | |
| 57.89% | 38 | 7.2 | 837 | 10,418 | 63.2% | 52.6% | |
| 56.76% | 37 | 6.8 | 695 | 12,581 | 68.8% | 47.6% | |
| 55.56% | 36 | 7.3 | 726 | 11,849 | 52.9% | 57.9% | |
| 58.33% | 36 | 7.0 | 800 | 13,614 | 41.7% | 66.7% | |
| 44.12% | 34 | 6.8 | 616 | 10,847 | 25.0% | 61.1% | |
| 54.84% | 31 | 6.8 | 783 | 12,767 | 23.1% | 77.8% | |
| 38.71% | 31 | 6.9 | 648 | 10,871 | 37.5% | 40.0% | |
| 57.14% | 28 | 7.4 | 790 | 13,393 | 50.0% | 62.5% | |
| 39.29% | 28 | 7.5 | 765 | 14,000 | 41.7% | 37.5% | |
| 61.54% | 26 | 6.7 | 794 | 11,657 | 45.5% | 73.3% | |
| 57.69% | 26 | 7.6 | 700 | 11,864 | 33.3% | 78.6% | |
| 44.00% | 25 | 6.7 | 790 | 11,349 | 20.0% | 60.0% | |
| 32.00% | 25 | 6.0 | 534 | 10,983 | 16.7% | 36.8% | |
| 68.00% | 25 | 7.3 | 805 | 11,857 | 45.5% | 85.7% | |
| 45.83% | 24 | 7.3 | 660 | 12,706 | 36.4% | 53.9% | |
| 50.00% | 22 | 6.7 | 697 | 11,328 | 46.1% | 55.6% | |
| 59.09% | 22 | 6.9 | 612 | 11,021 | 40.0% | 75.0% | |
| 38.89% | 18 | 7.5 | 779 | 12,862 | 50.0% | 33.3% | |
| 66.67% | 18 | 6.7 | 625 | 11,259 | 66.7% | 66.7% | |
| 22.22% | 18 | 6.3 | 579 | 11,295 | 16.7% | 25.0% | |
| 29.41% | 17 | 6.3 | 742 | 10,142 | 20.0% | 42.9% | |
| 41.18% | 17 | 7.0 | 695 | 11,207 | 20.0% | 71.4% | |
| 29.41% | 17 | 6.8 | 732 | 11,536 | 11.1% | 50.0% | |
| 37.50% | 16 | 7.7 | 878 | 14,277 | 16.7% | 50.0% | |
| 50.00% | 16 | 6.9 | 608 | 11,359 | 20.0% | 63.6% | |
| 53.33% | 15 | 7.5 | 781 | 11,579 | 62.5% | 42.9% | |
| 46.67% | 15 | 6.2 | 376 | 9,175 | 62.5% | 28.6% | |
| 33.33% | 15 | 7.4 | 743 | 11,302 | 16.7% | 44.4% | |
| 50.00% | 14 | 6.3 | 665 | 10,383 | 50.0% | 50.0% | |
| 64.29% | 14 | 7.1 | 767 | 13,937 | 0.0% | 81.8% | |
| 42.86% | 14 | 7.2 | 839 | 12,199 | 57.1% | 28.6% | |
| 38.46% | 13 | 7.0 | 612 | 12,197 | 28.6% | 50.0% | |
| 38.46% | 13 | 6.8 | 644 | 12,612 | 66.7% | 30.0% | |
| 58.33% | 12 | 6.9 | 742 | 13,599 | 66.7% | 50.0% | |
| 66.67% | 12 | 6.9 | 715 | 13,237 | 66.7% | 66.7% | |
| 18.18% | 11 | 6.7 | 443 | 8,723 | 33.3% | 0.0% | |
| 81.82% | 11 | 5.3 | 525 | 9,838 | 83.3% | 80.0% | |
| 54.55% | 11 | 7.0 | 628 | 11,056 | 83.3% | 20.0% | |
| 45.45% | 11 | 7.2 | 837 | 14,070 | 0.0% | 55.6% | |
| 40.00% | 10 | 5.3 | 460 | 10,856 | 50.0% | 33.3% | |
| 40.00% | 10 | 5.0 | 570 | 10,247 | 25.0% | 50.0% | |
| 50.00% | 10 | 6.4 | 864 | 10,817 | 60.0% | 40.0% | |
| 40.00% | 10 | 7.2 | 787 | 12,232 | 50.0% | 33.3% | |
| 60.00% | 10 | 5.9 | 596 | 11,164 | 40.0% | 80.0% | |
| 30.00% | 10 | 6.4 | 593 | 10,874 | 100.0% | 12.5% | |
| 55.56% | 9 | 2.3 | 270 | 8,520 | 50.0% | 66.7% | |
| 66.67% | 9 | 4.0 | 476 | 10,083 | 40.0% | 100.0% | |
| 33.33% | 9 | 6.7 | 668 | 12,381 | 0.0% | 60.0% | |
| 11.11% | 9 | 7.0 | 664 | 12,255 | 0.0% | 20.0% | |
| 44.44% | 9 | 7.5 | 826 | 9,859 | 33.3% | 66.7% | |
| 87.50% | 8 | 8.1 | 1,130 | 15,894 | 66.7% | 100.0% | |
| 37.50% | 8 | 6.8 | 832 | 10,579 | 50.0% | 0.0% | |
| 75.00% | 8 | 5.5 | 864 | 13,800 | 100.0% | 66.7% | |
| 75.00% | 8 | 6.9 | 867 | 13,436 | 50.0% | 83.3% | |
| 50.00% | 8 | 6.7 | 563 | 10,572 | 40.0% | 66.7% | |
| 71.43% | 7 | 6.6 | 672 | 10,502 | 100.0% | 60.0% | |
| 57.14% | 7 | 7.2 | 653 | 13,557 | 0.0% | 66.7% | |
| 57.14% | 7 | 8.0 | 640 | 12,091 | 50.0% | 60.0% | |
| 57.14% | 7 | 7.0 | 617 | 11,993 | 66.7% | 50.0% | |
| 42.86% | 7 | 5.0 | 554 | 11,147 | 100.0% | 33.3% | |
| 14.29% | 7 | 6.6 | 463 | 9,154 | 20.0% | 0.0% | |
| 57.14% | 7 | 6.8 | 535 | 9,422 | 66.7% | 0.0% | |
| 71.43% | 7 | 7.7 | 620 | 11,879 | 75.0% | 66.7% | |
| 66.67% | 6 | 7.1 | 838 | 14,246 | 33.3% | 100.0% | |
| 83.33% | 6 | 7.4 | 751 | 15,155 | 0.0% | 83.3% | |
| 40.00% | 5 | 3.2 | 369 | 10,167 | 100.0% | 25.0% | |
| 60.00% | 5 | 6.7 | 1,144 | 12,821 | 50.0% | 66.7% | |
| 60.00% | 5 | 7.8 | 977 | 14,445 | 0.0% | 75.0% | |
| 60.00% | 5 | 6.5 | 841 | 18,028 | 100.0% | 50.0% | |
| 80.00% | 5 | 5.1 | 792 | 13,852 | 100.0% | 66.7% | |
| 20.00% | 5 | 6.2 | 704 | 13,706 | 100.0% | 0.0% | |
| 60.00% | 5 | 6.8 | 806 | 11,364 | 100.0% | 50.0% | |
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Kayle vs Olaf - Frequently Asked Questions
How does Kayle do against Olaf in League of Legends?
Kayle wins the Kayle vs Olaf matchup with a 57.9% win rate compared to Olaf's 42.1%, a 15.8 percentage point difference. This data is based on 57 recent ranked games in patch 26.10.
How does Kayle do against Olaf in the early game?
In the early game, Kayle has the advantage against Olaf with a 52.0% win rate versus 48.0%. 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 Olaf in the late game?
In the late game, Kayle takes over the Kayle vs Olaf matchup with a 62.5% win rate compared to 37.5%. Kayle scales better into team fights and objective contests after 25 minutes.
Who wins the Kayle vs Olaf matchup?
Kayle wins the matchup against Olaf with a 57.9% win rate in League of Legends patch 26.10. The 15.8 percentage point advantage means Kayle is significantly favored in this lane matchup based on 57 games analyzed.
What is the best Kayle build against Olaf?
The best Kayle build against Olaf includes Shadowflame, Nashor's Tooth, Rabadon's Deathcap with Boots of Swiftness. This build achieves a 71.4% 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 Olaf?
The best Kayle runes against Olaf use the Precision primary tree with Sorcery secondary. This rune setup achieves a 57.1% win rate in the Kayle vs Olaf matchup. See the full rune breakdown in the matchup comparison above.
Does Kayle counter Olaf?
Yes, Kayle has a favorable matchup against Olaf with a 57.9% win rate. Kayle strongly counters Olaf in lane based on current patch 26.10 data.
How do I play Kayle against Olaf?
When playing Kayle against Olaf, 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.