
Kaylevs Neeko
Kayle vs Neeko is a decisive matchup in LoL patch 26.3. Kayle wins with a 100.0% win rate (+100.0%) over Neeko based on 6 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 Neeko 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 Neeko Matchup?

Kayle vs Neeko Matchup Summary
The Kayle vs Neeko matchup is a decisive matchup in League of Legends ranked play. Based on 6 recent matches analyzed, Kayle wins with a 100.0% win rate compared to Neeko's 0.0%, giving Kayle a 100.0 percentage point advantage. Kayle dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Neeko 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 Neeko leads by 1.4s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Kayle players can confidently pick into Neeko and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Neeko 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 Neeko Laning Phase Breakdown
Neeko is favored during the laning phase against Kayle, winning 3 out of 5 key stat categories. Neeko holds advantages in damage, gold income and crowd control, making them the stronger laner in this matchup.
Best Kayle Build Against Neeko
Boots of Swiftness is the optimal boots choice against Neeko, providing the mobility and stats Kayle needs most in this matchup. The top-performing core items for Kayle against Neeko 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 100.0% win rate across 2 games — well above average and making it the top item path against Neeko. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Kayle vs Neeko matchup.
Early Game vs Late Game
Kayle dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Neeko. 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 100.0% win rate — 100.0 points above Neeko. 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. Neeko players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Kayle Runes Against Neeko
Running Precision primary with Sorcery secondary allows Kayle to press their advantage against Neeko, amplifying the strengths that make this a favorable matchup.
Kayle matchup data for League of Legends patch 26.3. 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 |
|---|---|---|---|---|---|---|---|
| 49.84% | 311 | 7.6 | 908 | 12,834 | 44.6% | 54.1% | |
| 49.09% | 220 | 6.7 | 775 | 12,165 | 42.9% | 53.5% | |
| 52.60% | 173 | 6.9 | 939 | 12,523 | 51.3% | 53.8% | |
| 51.18% | 170 | 7.1 | 696 | 11,324 | 39.0% | 66.7% | |
| 53.94% | 165 | 7.1 | 872 | 12,274 | 42.7% | 65.1% | |
| 50.63% | 158 | 7.2 | 883 | 12,068 | 42.0% | 57.3% | |
| 49.68% | 157 | 6.7 | 606 | 11,671 | 38.6% | 58.6% | |
| 50.00% | 146 | 7.1 | 869 | 13,070 | 45.0% | 53.5% | |
| 51.41% | 142 | 6.8 | 684 | 12,081 | 46.1% | 55.8% | |
| 41.84% | 141 | 7.0 | 716 | 11,927 | 31.3% | 50.6% | |
| 48.57% | 140 | 7.3 | 1,155 | 11,532 | 44.3% | 52.9% | |
| 55.15% | 136 | 7.4 | 762 | 12,484 | 52.3% | 57.8% | |
| 40.00% | 120 | 6.7 | 623 | 11,639 | 29.2% | 47.2% | |
| 53.78% | 119 | 7.2 | 783 | 12,306 | 42.9% | 63.5% | |
| 52.54% | 118 | 7.2 | 888 | 12,830 | 51.9% | 53.1% | |
| 56.03% | 116 | 8.0 | 980 | 14,119 | 50.0% | 60.3% | |
| 50.46% | 109 | 7.4 | 871 | 12,723 | 38.8% | 60.0% | |
| 48.62% | 109 | 6.6 | 860 | 11,812 | 38.8% | 56.7% | |
| 44.95% | 109 | 6.9 | 732 | 11,951 | 33.3% | 55.2% | |
| 58.49% | 106 | 6.9 | 857 | 12,331 | 46.0% | 69.6% | |
| 50.00% | 106 | 6.8 | 905 | 11,647 | 40.4% | 59.3% | |
| 55.77% | 104 | 7.2 | 727 | 11,952 | 50.9% | 60.8% | |
| 61.54% | 104 | 7.2 | 866 | 12,951 | 56.5% | 65.5% | |
| 52.48% | 101 | 6.8 | 864 | 12,056 | 46.8% | 57.4% | |
| 51.06% | 94 | 7.0 | 868 | 11,561 | 50.0% | 52.0% | |
| 51.09% | 92 | 7.1 | 749 | 12,307 | 42.9% | 58.0% | |
| 45.78% | 83 | 7.1 | 940 | 12,326 | 37.1% | 52.1% | |
| 54.88% | 82 | 6.8 | 715 | 12,417 | 41.2% | 64.6% | |
| 48.15% | 81 | 6.8 | 804 | 12,160 | 48.7% | 47.6% | |
| 47.50% | 80 | 6.4 | 763 | 11,733 | 38.1% | 57.9% | |
| 49.25% | 67 | 6.9 | 731 | 12,715 | 43.5% | 52.3% | |
| 48.39% | 62 | 7.5 | 771 | 13,517 | 45.8% | 50.0% | |
| 57.38% | 61 | 6.5 | 691 | 12,286 | 59.1% | 56.4% | |
| 65.52% | 58 | 7.0 | 914 | 12,222 | 62.1% | 69.0% | |
| 52.63% | 57 | 7.0 | 867 | 12,817 | 60.0% | 46.9% | |
| 50.88% | 57 | 6.7 | 658 | 11,753 | 38.5% | 61.3% | |
| 48.21% | 56 | 7.0 | 626 | 10,952 | 35.5% | 64.0% | |
| 49.06% | 53 | 6.2 | 677 | 11,707 | 50.0% | 47.8% | |
| 44.23% | 52 | 6.9 | 750 | 11,777 | 37.9% | 52.2% | |
| 47.06% | 51 | 7.1 | 732 | 12,220 | 40.7% | 54.2% | |
| 54.00% | 50 | 6.9 | 799 | 11,839 | 48.1% | 60.9% | |
| 53.06% | 49 | 6.9 | 793 | 12,362 | 44.0% | 62.5% | |
| 46.81% | 47 | 7.8 | 807 | 13,329 | 23.5% | 60.0% | |
| 45.45% | 44 | 6.9 | 881 | 11,276 | 41.7% | 50.0% | |
| 55.81% | 43 | 7.0 | 580 | 11,347 | 40.9% | 71.4% | |
| 42.86% | 42 | 6.7 | 663 | 12,257 | 37.5% | 46.1% | |
| 48.78% | 41 | 7.3 | 856 | 12,578 | 50.0% | 47.6% | |
| 50.00% | 38 | 6.7 | 845 | 13,281 | 42.9% | 54.2% | |
| 40.54% | 37 | 7.0 | 736 | 10,219 | 45.5% | 33.3% | |
| 45.95% | 37 | 6.9 | 711 | 11,904 | 43.8% | 47.6% | |
| 51.35% | 37 | 7.4 | 792 | 12,829 | 36.8% | 66.7% | |
| 40.00% | 35 | 7.0 | 787 | 11,886 | 35.0% | 46.7% | |
| 48.48% | 33 | 6.7 | 784 | 12,407 | 53.9% | 45.0% | |
| 42.42% | 33 | 6.7 | 697 | 12,993 | 45.5% | 40.9% | |
| 70.00% | 30 | 6.9 | 862 | 12,645 | 73.3% | 66.7% | |
| 48.28% | 29 | 7.0 | 888 | 11,946 | 35.7% | 60.0% | |
| 46.43% | 28 | 7.5 | 766 | 12,453 | 37.5% | 58.3% | |
| 59.26% | 27 | 7.2 | 764 | 11,882 | 53.3% | 66.7% | |
| 42.31% | 26 | 7.6 | 624 | 12,239 | 25.0% | 57.1% | |
| 65.38% | 26 | 7.1 | 730 | 13,035 | 72.7% | 60.0% | |
| 68.00% | 25 | 7.3 | 818 | 14,111 | 37.5% | 82.3% | |
| 48.00% | 25 | 7.2 | 797 | 12,859 | 20.0% | 66.7% | |
| 56.52% | 23 | 6.8 | 613 | 12,030 | 55.6% | 57.1% | |
| 63.64% | 22 | 7.3 | 837 | 13,878 | 44.4% | 76.9% | |
| 63.64% | 22 | 7.2 | 757 | 13,271 | 25.0% | 85.7% | |
| 42.86% | 21 | 7.3 | 847 | 12,007 | 41.7% | 44.4% | |
| 42.86% | 21 | 7.0 | 720 | 13,081 | 42.9% | 42.9% | |
| 45.00% | 20 | 7.5 | 891 | 12,162 | 41.7% | 50.0% | |
| 31.58% | 19 | 6.5 | 662 | 12,229 | 36.4% | 25.0% | |
| 61.11% | 18 | 6.2 | 777 | 13,669 | 71.4% | 54.5% | |
| 66.67% | 18 | 7.0 | 740 | 11,685 | 55.6% | 77.8% | |
| 50.00% | 18 | 6.5 | 781 | 11,497 | 44.4% | 55.6% | |
| 66.67% | 18 | 6.8 | 784 | 11,086 | 50.0% | 100.0% | |
| 33.33% | 18 | 7.3 | 616 | 13,306 | 12.5% | 50.0% | |
| 58.82% | 17 | 7.0 | 702 | 12,284 | 62.5% | 55.6% | |
| 56.25% | 16 | 7.1 | 687 | 13,333 | 40.0% | 63.6% | |
| 68.75% | 16 | 7.2 | 881 | 15,750 | 33.3% | 76.9% | |
| 28.57% | 14 | 6.2 | 757 | 11,974 | 33.3% | 25.0% | |
| 28.57% | 14 | 7.1 | 668 | 12,006 | 14.3% | 42.9% | |
| 30.77% | 13 | 6.6 | 655 | 10,112 | 22.2% | 50.0% | |
| 41.67% | 12 | 7.0 | 668 | 12,782 | 80.0% | 14.3% | |
| 41.67% | 12 | 7.5 | 645 | 13,771 | 33.3% | 44.4% | |
| 50.00% | 12 | 6.0 | 742 | 11,550 | 50.0% | 50.0% | |
| 54.55% | 11 | 5.5 | 592 | 10,728 | 25.0% | 71.4% | |
| 54.55% | 11 | 6.8 | 749 | 10,979 | 40.0% | 66.7% | |
| 45.45% | 11 | 6.5 | 737 | 11,845 | 60.0% | 33.3% | |
| 54.55% | 11 | 7.7 | 573 | 10,034 | 50.0% | 66.7% | |
| 70.00% | 10 | 7.2 | 611 | 12,649 | 60.0% | 80.0% | |
| 40.00% | 10 | 7.2 | 702 | 13,097 | 16.7% | 75.0% | |
| 30.00% | 10 | 6.8 | 804 | 15,171 | 0.0% | 37.5% | |
| 77.78% | 9 | 6.8 | 752 | 15,346 | 66.7% | 83.3% | |
| 66.67% | 9 | 6.3 | 737 | 13,862 | 50.0% | 71.4% | |
| 44.44% | 9 | 7.8 | 620 | 11,973 | 33.3% | 66.7% | |
| 33.33% | 9 | 6.9 | 754 | 13,878 | 0.0% | 42.9% | |
| 44.44% | 9 | 5.0 | 643 | 10,346 | 25.0% | 60.0% | |
| 88.89% | 9 | 7.1 | 825 | 13,481 | 50.0% | 100.0% | |
| 37.50% | 8 | 6.9 | 720 | 12,267 | 25.0% | 50.0% | |
| 50.00% | 8 | 8.3 | 987 | 15,620 | 50.0% | 50.0% | |
| 71.43% | 7 | 6.5 | 638 | 12,840 | 100.0% | 66.7% | |
| 71.43% | 7 | 6.6 | 561 | 10,162 | 66.7% | 75.0% | |
| 28.57% | 7 | 6.4 | 528 | 11,803 | 0.0% | 40.0% | |
| 100.00% | 6 | 6.7 | 525 | 12,511 | 100.0% | 100.0% | |
| 50.00% | 6 | 5.2 | 839 | 12,575 | 0.0% | 60.0% | |
| 33.33% | 6 | 6.2 | 463 | 9,644 | 33.3% | 0.0% | |
| 33.33% | 6 | 6.5 | 646 | 12,789 | 0.0% | 40.0% | |
| 100.00% | 6 | 6.1 | 1,032 | 13,258 | 100.0% | 100.0% | |
| 80.00% | 5 | 7.5 | 758 | 12,924 | 100.0% | 75.0% | |
| 80.00% | 5 | 5.9 | 852 | 16,329 | 100.0% | 75.0% | |
| 20.00% | 5 | 7.5 | 443 | 9,037 | 25.0% | 0.0% | |
| 40.00% | 5 | 6.4 | 696 | 15,221 | 0.0% | 40.0% | |
| 60.00% | 5 | 4.3 | 567 | 10,539 | 75.0% | 0.0% | |
| 40.00% | 5 | 6.1 | 540 | 9,669 | 0.0% | 66.7% | |
| 40.00% | 5 | 6.6 | 610 | 12,154 | 0.0% | 66.7% | |
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Kayle vs Neeko - Frequently Asked Questions
How does Kayle do against Neeko in League of Legends?
Kayle wins the Kayle vs Neeko matchup with a 100.0% win rate compared to Neeko's 0.0%, a 100.0 percentage point difference. This data is based on 6 recent ranked games in patch 26.3.
How does Kayle do against Neeko in the early game?
In the early game, Kayle has the advantage against Neeko with a 100.0% win rate versus 0.0%. 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 Neeko in the late game?
In the late game, Kayle takes over the Kayle vs Neeko matchup with a 100.0% win rate compared to 0.0%. Kayle scales better into team fights and objective contests after 25 minutes.
Who wins the Kayle vs Neeko matchup?
Kayle wins the matchup against Neeko with a 100.0% win rate in League of Legends patch 26.3. The 100.0 percentage point advantage means Kayle is significantly favored in this lane matchup based on 6 games analyzed.
What is the best Kayle build against Neeko?
The best Kayle build against Neeko includes Nashor's Tooth, Rabadon's Deathcap, Dusk and Dawn with Boots of Swiftness. 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 Kayle runes against Neeko?
The best Kayle runes against Neeko use the Precision primary tree with Sorcery secondary. This rune setup achieves a 100.0% win rate in the Kayle vs Neeko matchup. See the full rune breakdown in the matchup comparison above.
Does Kayle counter Neeko?
Yes, Kayle has a favorable matchup against Neeko with a 100.0% win rate. Kayle strongly counters Neeko in lane based on current patch 26.3 data.
How do I play Kayle against Neeko?
When playing Kayle against Neeko, 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.
