Lockevs Caitlyn
Locke vs Caitlyn is a decisive matchup in LoL patch 26.13. Locke wins with a 64.0% win rate (+28.0%) over Caitlyn based on 25 games. Locke holds the advantage in both the early and late game. Below you'll find the best Locke build, runes, laning stats, and strategies for the Locke vs Caitlyn matchup.
Locke Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Locke 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 Locke vs Caitlyn Matchup?
Locke vs Caitlyn Matchup Summary
The Locke vs Caitlyn matchup is a decisive matchup in League of Legends ranked play. Based on 25 recent matches analyzed, Locke wins with a 64.0% win rate compared to Caitlyn's 36.0%, giving Locke a 28.0 percentage point advantage. Locke dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Caitlyn players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in sustain, where Locke leads by 526 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Locke players can confidently pick into Caitlyn and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Caitlyn away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Locke vs Caitlyn Laning Phase Breakdown
Caitlyn is favored during the laning phase against Locke, winning 4 out of 5 key stat categories. Caitlyn holds advantages in farming, damage, gold income and crowd control, making them the stronger laner in this matchup.
Best Locke Build Against Caitlyn
Armored Advance is the optimal boots choice against Caitlyn, providing the mobility and stats Locke needs most in this matchup. The top-performing core items for Locke against Caitlyn are Stormsurge, Shadowflame and Dusk and Dawn. This combination gives Locke 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 Caitlyn. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Locke vs Caitlyn matchup.
Early Game vs Late Game
Locke71.4%
Caitlyn28.6%Locke61.1%Caitlyn38.9%Locke dominates the early game (first 15 minutes) with a commanding 71.4% win rate — a 42.9 percentage point lead over Caitlyn. This lopsided early game means Locke can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Locke is far superior in the late game (25+ minutes), boasting a 61.1% win rate — 22.2 points above Caitlyn. Extended games heavily favor Locke, whose kit and scaling make them a dominant force in team fights and objective control.
Locke holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Caitlyn players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Locke Runes Against Caitlyn
Domination
Precision
Running Domination primary with Precision secondary allows Locke to press their advantage against Caitlyn, amplifying the strengths that make this a favorable matchup.
Locke matchup data for League of Legends patch 26.13. The table below shows Locke'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 Locke 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 |
|---|---|---|---|---|---|---|---|
| 41.24% | 194 | 4.6 | 872 | 11,483 | 34.6% | 48.4% | |
| 45.79% | 190 | 5.3 | 821 | 11,513 | 47.1% | 44.8% | |
| 41.90% | 179 | 5.6 | 845 | 11,976 | 48.3% | 35.6% | |
| 50.28% | 177 | 5.3 | 848 | 11,452 | 53.9% | 47.5% | |
| 51.46% | 171 | 5.4 | 960 | 11,713 | 56.6% | 47.4% | |
| 41.10% | 146 | 4.0 | 831 | 12,395 | 31.8% | 48.2% | |
| 45.32% | 139 | 5.5 | 839 | 12,607 | 43.4% | 46.5% | |
| 36.57% | 134 | 4.8 | 769 | 11,907 | 38.5% | 35.4% | |
| 51.13% | 133 | 5.3 | 870 | 12,093 | 57.9% | 46.0% | |
| 45.97% | 124 | 5.4 | 932 | 12,575 | 47.1% | 45.2% | |
| 36.89% | 122 | 4.9 | 824 | 12,188 | 46.1% | 32.5% | |
| 38.66% | 119 | 5.3 | 787 | 11,980 | 46.9% | 32.9% | |
| 44.44% | 108 | 5.7 | 853 | 12,081 | 39.5% | 47.7% | |
| 43.69% | 103 | 4.6 | 796 | 11,621 | 44.2% | 43.1% | |
| 46.53% | 101 | 5.2 | 849 | 11,840 | 60.5% | 36.2% | |
| 41.24% | 97 | 4.6 | 863 | 11,930 | 44.4% | 38.5% | |
| 43.30% | 97 | 1.2 | 731 | 12,855 | 47.4% | 40.7% | |
| 39.36% | 94 | 5.6 | 766 | 11,912 | 35.9% | 41.8% | |
| 47.25% | 91 | 5.4 | 813 | 11,663 | 42.5% | 51.0% | |
| 36.05% | 86 | 5.5 | 851 | 11,201 | 42.3% | 26.5% | |
| 51.76% | 85 | 4.9 | 881 | 12,693 | 42.9% | 58.0% | |
| 34.12% | 85 | 1.2 | 657 | 12,615 | 34.3% | 34.0% | |
| 51.25% | 80 | 5.6 | 821 | 12,069 | 54.0% | 48.8% | |
| 48.05% | 77 | 5.6 | 882 | 12,843 | 45.2% | 50.0% | |
| 44.29% | 70 | 5.4 | 974 | 11,743 | 47.1% | 41.7% | |
| 50.00% | 66 | 5.6 | 868 | 12,454 | 72.0% | 36.6% | |
| 50.77% | 65 | 5.2 | 821 | 11,796 | 48.5% | 53.1% | |
| 34.38% | 64 | 1.2 | 674 | 11,756 | 33.3% | 35.1% | |
| 32.81% | 64 | 5.5 | 933 | 12,205 | 31.3% | 34.4% | |
| 51.67% | 60 | 3.6 | 900 | 13,908 | 47.4% | 53.7% | |
| 41.67% | 60 | 0.9 | 637 | 12,834 | 42.3% | 41.2% | |
| 51.72% | 58 | 5.5 | 826 | 11,784 | 66.7% | 41.2% | |
| 51.79% | 56 | 5.5 | 852 | 12,263 | 65.6% | 33.3% | |
| 38.18% | 55 | 1.2 | 684 | 13,314 | 35.7% | 39.0% | |
| 26.42% | 53 | 1.1 | 627 | 13,003 | 28.6% | 25.6% | |
| 37.74% | 53 | 1.2 | 625 | 11,073 | 35.7% | 40.0% | |
| 41.51% | 53 | 5.4 | 821 | 12,046 | 40.9% | 41.9% | |
| 44.23% | 52 | 4.4 | 874 | 12,449 | 63.2% | 33.3% | |
| 38.46% | 52 | 5.8 | 890 | 12,585 | 33.3% | 41.9% | |
| 56.86% | 51 | 3.9 | 798 | 12,078 | 54.5% | 58.6% | |
| 35.29% | 51 | 2.6 | 691 | 11,987 | 24.1% | 50.0% | |
| 40.82% | 49 | 1.4 | 688 | 12,785 | 40.0% | 41.7% | |
| 37.50% | 48 | 1.1 | 679 | 12,956 | 27.8% | 43.3% | |
| 45.65% | 46 | 5.6 | 896 | 11,964 | 70.8% | 18.2% | |
| 42.22% | 45 | 1.9 | 743 | 12,993 | 55.6% | 33.3% | |
| 46.67% | 45 | 1.1 | 685 | 11,607 | 56.5% | 36.4% | |
| 38.10% | 42 | 5.4 | 796 | 9,858 | 40.9% | 35.0% | |
| 34.15% | 41 | 2.1 | 794 | 13,395 | 33.3% | 34.6% | |
| 53.66% | 41 | 5.0 | 892 | 12,276 | 52.4% | 55.0% | |
| 40.00% | 40 | 5.0 | 724 | 11,804 | 44.4% | 36.4% | |
| 33.33% | 39 | 1.4 | 571 | 10,717 | 43.5% | 18.8% | |
| 60.53% | 38 | 4.2 | 836 | 11,870 | 66.7% | 55.0% | |
| 42.11% | 38 | 4.6 | 847 | 12,098 | 33.3% | 52.9% | |
| 56.76% | 37 | 4.8 | 937 | 12,341 | 60.0% | 54.5% | |
| 47.22% | 36 | 5.3 | 832 | 10,326 | 47.6% | 46.7% | |
| 51.43% | 35 | 4.3 | 822 | 11,176 | 33.3% | 65.0% | |
| 41.18% | 34 | 5.8 | 913 | 12,687 | 75.0% | 30.8% | |
| 50.00% | 34 | 5.9 | 889 | 11,399 | 50.0% | 50.0% | |
| 34.38% | 32 | 1.0 | 623 | 10,285 | 26.1% | 55.6% | |
| 31.25% | 32 | 5.8 | 867 | 12,807 | 50.0% | 22.7% | |
| 43.75% | 32 | 5.2 | 681 | 10,858 | 52.9% | 33.3% | |
| 31.03% | 29 | 5.0 | 866 | 13,147 | 25.0% | 33.3% | |
| 48.28% | 29 | 5.2 | 955 | 12,162 | 61.5% | 37.5% | |
| 42.86% | 28 | 4.8 | 777 | 11,203 | 54.5% | 35.3% | |
| 37.04% | 27 | 3.6 | 833 | 12,443 | 50.0% | 29.4% | |
| 40.74% | 27 | 1.1 | 736 | 12,469 | 40.0% | 41.7% | |
| 44.44% | 27 | 1.1 | 666 | 12,589 | 44.4% | 44.4% | |
| 48.15% | 27 | 4.1 | 750 | 10,946 | 53.9% | 42.9% | |
| 48.00% | 25 | 1.6 | 706 | 12,720 | 25.0% | 58.8% | |
| 48.00% | 25 | 5.2 | 931 | 12,205 | 72.7% | 28.6% | |
| 64.00% | 25 | 5.1 | 909 | 14,410 | 71.4% | 61.1% | |
| 50.00% | 24 | 5.6 | 808 | 12,338 | 40.0% | 57.1% | |
| 41.67% | 24 | 4.3 | 842 | 12,927 | 77.8% | 20.0% | |
| 29.17% | 24 | 0.9 | 629 | 11,717 | 40.0% | 21.4% | |
| 39.13% | 23 | 4.9 | 729 | 11,467 | 55.6% | 28.6% | |
| 43.48% | 23 | 2.7 | 696 | 12,732 | 12.5% | 60.0% | |
| 43.48% | 23 | 5.2 | 797 | 12,371 | 25.0% | 63.6% | |
| 26.09% | 23 | 4.7 | 1,078 | 12,586 | 50.0% | 17.6% | |
| 47.83% | 23 | 5.8 | 957 | 12,771 | 50.0% | 45.5% | |
| 43.48% | 23 | 6.0 | 954 | 12,678 | 75.0% | 26.7% | |
| 21.74% | 23 | 1.2 | 664 | 13,796 | 0.0% | 35.7% | |
| 36.36% | 22 | 0.8 | 722 | 13,601 | 12.5% | 50.0% | |
| 33.33% | 21 | 5.1 | 1,064 | 12,797 | 37.5% | 30.8% | |
| 38.10% | 21 | 1.4 | 688 | 10,864 | 30.8% | 50.0% | |
| 57.14% | 21 | 4.9 | 902 | 12,484 | 57.1% | 57.1% | |
| 47.62% | 21 | 4.0 | 822 | 14,044 | 25.0% | 52.9% | |
| 42.86% | 21 | 1.6 | 865 | 12,370 | 57.1% | 35.7% | |
| 60.00% | 20 | 5.0 | 799 | 11,756 | 44.4% | 72.7% | |
| 15.00% | 20 | 1.4 | 604 | 11,690 | 14.3% | 15.4% | |
| 45.00% | 20 | 4.6 | 889 | 12,926 | 44.4% | 45.5% | |
| 57.89% | 19 | 1.5 | 734 | 12,617 | 75.0% | 45.5% | |
| 38.89% | 18 | 1.0 | 663 | 12,017 | 33.3% | 44.4% | |
| 61.11% | 18 | 6.2 | 935 | 12,522 | 63.6% | 57.1% | |
| 50.00% | 18 | 1.0 | 713 | 12,555 | 40.0% | 62.5% | |
| 41.18% | 17 | 2.8 | 705 | 10,703 | 37.5% | 44.4% | |
| 47.06% | 17 | 5.0 | 771 | 11,222 | 40.0% | 57.1% | |
| 37.50% | 16 | 4.8 | 744 | 12,007 | 28.6% | 44.4% | |
| 37.50% | 16 | 5.0 | 897 | 11,025 | 62.5% | 12.5% | |
| 31.25% | 16 | 3.9 | 767 | 12,130 | 20.0% | 36.4% | |
| 46.67% | 15 | 1.7 | 827 | 12,640 | 42.9% | 50.0% | |
| 60.00% | 15 | 3.1 | 750 | 11,511 | 50.0% | 80.0% | |
| 46.67% | 15 | 4.6 | 832 | 10,472 | 44.4% | 50.0% | |
| 57.14% | 14 | 6.0 | 746 | 11,272 | 60.0% | 55.6% | |
| 21.43% | 14 | 4.3 | 593 | 10,226 | 16.7% | 25.0% | |
| 78.57% | 14 | 5.6 | 926 | 13,779 | 66.7% | 87.5% | |
| 42.86% | 14 | 5.5 | 753 | 13,810 | 33.3% | 50.0% | |
| 35.71% | 14 | 3.0 | 689 | 12,230 | 25.0% | 40.0% | |
| 50.00% | 14 | 4.2 | 787 | 11,628 | 42.9% | 57.1% | |
| 50.00% | 14 | 5.3 | 706 | 10,007 | 55.6% | 40.0% | |
| 53.85% | 13 | 3.8 | 766 | 10,665 | 50.0% | 57.1% | |
| 38.46% | 13 | 1.9 | 666 | 12,876 | 33.3% | 40.0% | |
| 38.46% | 13 | 2.7 | 634 | 8,580 | 50.0% | 0.0% | |
| 46.15% | 13 | 2.0 | 837 | 10,765 | 44.4% | 50.0% | |
| 50.00% | 12 | 2.4 | 570 | 12,105 | 40.0% | 57.1% | |
| 16.67% | 12 | 4.9 | 901 | 12,862 | 20.0% | 14.3% | |
| 25.00% | 12 | 2.3 | 570 | 8,652 | 28.6% | 20.0% | |
| 41.67% | 12 | 5.4 | 1,034 | 14,568 | 25.0% | 50.0% | |
| 27.27% | 11 | 5.9 | 733 | 10,558 | 40.0% | 16.7% | |
| 45.45% | 11 | 2.8 | 718 | 11,867 | 20.0% | 66.7% | |
| 27.27% | 11 | 5.3 | 887 | 9,786 | 37.5% | 0.0% | |
| 27.27% | 11 | 5.0 | 553 | 9,361 | 20.0% | 33.3% | |
| 18.18% | 11 | 1.4 | 760 | 12,795 | 33.3% | 12.5% | |
| 27.27% | 11 | 0.6 | 599 | 10,113 | 37.5% | 0.0% | |
| 60.00% | 10 | 5.5 | 973 | 15,045 | 80.0% | 40.0% | |
| 10.00% | 10 | 5.4 | 779 | 12,039 | 0.0% | 25.0% | |
| 20.00% | 10 | 5.4 | 705 | 10,026 | 16.7% | 25.0% | |
| 70.00% | 10 | 5.6 | 755 | 12,011 | 80.0% | 60.0% | |
| 11.11% | 9 | 5.3 | 842 | 9,615 | 16.7% | 0.0% | |
| 55.56% | 9 | 5.2 | 948 | 12,913 | 40.0% | 75.0% | |
| 66.67% | 9 | 4.4 | 786 | 12,014 | 66.7% | 66.7% | |
| 50.00% | 8 | 5.6 | 699 | 11,033 | 25.0% | 75.0% | |
| 50.00% | 8 | 4.0 | 714 | 13,097 | 100.0% | 42.9% | |
| 25.00% | 8 | 5.0 | 691 | 10,254 | 25.0% | 25.0% | |
| 50.00% | 8 | 2.0 | 797 | 13,912 | 0.0% | 66.7% | |
| 42.86% | 7 | 5.9 | 683 | 8,513 | 50.0% | 0.0% | |
| 14.29% | 7 | 5.1 | 844 | 11,560 | 0.0% | 20.0% | |
| 28.57% | 7 | 4.7 | 845 | 10,784 | 20.0% | 50.0% | |
| 57.14% | 7 | 4.8 | 742 | 12,196 | 50.0% | 66.7% | |
| 33.33% | 6 | 1.8 | 746 | 12,612 | 0.0% | 50.0% | |
| 66.67% | 6 | 2.4 | 785 | 12,864 | 66.7% | 66.7% | |
| 16.67% | 6 | 5.0 | 688 | 10,634 | 50.0% | 0.0% | |
| 20.00% | 5 | 5.1 | 728 | 9,576 | 0.0% | 50.0% | |
| 40.00% | 5 | 1.6 | 977 | 16,280 | 0.0% | 40.0% | |
| 0.00% | 5 | 3.0 | 832 | 13,336 | 0.0% | 0.0% | |
| 40.00% | 5 | 5.8 | 995 | 10,761 | 50.0% | 33.3% | |
| 40.00% | 5 | 5.2 | 928 | 12,950 | 0.0% | 50.0% | |
| 60.00% | 5 | 1.1 | 513 | 11,816 | 100.0% | 33.3% | |
| 20.00% | 5 | 6.1 | 1,057 | 14,531 | 0.0% | 33.3% | |
| 60.00% | 5 | 1.0 | 594 | 10,064 | 66.7% | 50.0% | |
| 20.00% | 5 | 4.6 | 766 | 10,676 | 50.0% | 0.0% | |
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Locke vs Caitlyn - Frequently Asked Questions
How does Locke do against Caitlyn in League of Legends?
Locke wins the Locke vs Caitlyn matchup with a 64.0% win rate compared to Caitlyn's 36.0%, a 28.0 percentage point difference. This data is based on 25 recent ranked games in patch 26.13.
How does Locke do against Caitlyn in the early game?
In the early game, Locke has the advantage against Caitlyn with a 71.4% win rate versus 28.6%. Locke players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Locke do against Caitlyn in the late game?
In the late game, Locke takes over the Locke vs Caitlyn matchup with a 61.1% win rate compared to 38.9%. Locke scales better into team fights and objective contests after 25 minutes.
Who wins the Locke vs Caitlyn matchup?
Locke wins the matchup against Caitlyn with a 64.0% win rate in League of Legends patch 26.13. The 28.0 percentage point advantage means Locke is significantly favored in this lane matchup based on 25 games analyzed.
What is the best Locke build against Caitlyn?
The best Locke build against Caitlyn includes Stormsurge, Shadowflame, Dusk and Dawn with Armored Advance. 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 Locke runes against Caitlyn?
The best Locke runes against Caitlyn use the Domination primary tree with Precision secondary. This rune setup achieves a 100.0% win rate in the Locke vs Caitlyn matchup. See the full rune breakdown in the matchup comparison above.
Does Locke counter Caitlyn?
Yes, Locke has a favorable matchup against Caitlyn with a 64.0% win rate. Locke strongly counters Caitlyn in lane based on current patch 26.13 data.
How do I play Locke against Caitlyn?
When playing Locke against Caitlyn, 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.