Brandvs Caitlyn
Brand vs Caitlyn is a decisive matchup in LoL patch 26.11. Brand wins with a 53.7% win rate (+7.3%) over Caitlyn based on 300 games. Brand holds the advantage in both the early and late game. Below you'll find the best Brand build, runes, laning stats, and strategies for the Brand vs Caitlyn matchup.
Brand Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Brand 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 Brand vs Caitlyn Matchup?
Brand vs Caitlyn Matchup Summary
The Brand vs Caitlyn matchup is a decisive matchup in League of Legends ranked play. Based on 300 recent matches analyzed, Brand wins with a 53.7% win rate compared to Caitlyn's 46.3%, giving Brand a 7.3 percentage point advantage. Brand 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 crowd control, where Brand leads by 0.6s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Brand 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.
Brand vs Caitlyn Laning Phase Breakdown
Caitlyn is favored during the laning phase against Brand, winning 3 out of 5 key stat categories. Caitlyn holds advantages in farming, gold income and sustain, making them the stronger laner in this matchup.
Early Game vs Late Game
Brand58.6%
Caitlyn41.4%Brand50.0%Caitlyn50.0%Brand dominates the early game (first 15 minutes) with a commanding 58.6% win rate — a 17.2 percentage point lead over Caitlyn. This lopsided early game means Brand can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Late game (25+ minutes) is equally balanced, with Brand at 50.0% win rate — only 0.0 points ahead of Caitlyn. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
Brand 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 Brand Runes Against Caitlyn
Sorcery
Precision
Running Sorcery primary with Precision secondary allows Brand to press their advantage against Caitlyn, amplifying the strengths that make this a favorable matchup.
Brand matchup data for League of Legends patch 26.11. The table below shows Brand'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 Brand 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 |
|---|---|---|---|---|---|---|---|
| 51.65% | 364 | 2.8 | 768 | 10,365 | 55.9% | 48.9% | |
| 49.09% | 330 | 2.2 | 819 | 10,075 | 46.6% | 50.8% | |
| 53.67% | 300 | 6.3 | 1,035 | 12,494 | 58.6% | 50.0% | |
| 54.34% | 265 | 5.9 | 1,041 | 13,019 | 60.6% | 50.3% | |
| 49.79% | 237 | 3.0 | 902 | 10,867 | 54.7% | 46.5% | |
| 52.89% | 225 | 6.2 | 983 | 12,441 | 60.0% | 48.1% | |
| 52.47% | 223 | 6.0 | 1,057 | 12,764 | 58.8% | 49.0% | |
| 50.23% | 219 | 1.9 | 861 | 9,923 | 56.1% | 45.5% | |
| 48.37% | 215 | 1.9 | 868 | 9,878 | 51.6% | 46.0% | |
| 50.00% | 210 | 6.2 | 1,019 | 11,746 | 60.6% | 41.4% | |
| 53.62% | 207 | 1.8 | 877 | 10,263 | 60.2% | 49.2% | |
| 53.20% | 203 | 1.8 | 846 | 9,950 | 56.4% | 51.2% | |
| 44.55% | 202 | 6.2 | 1,105 | 13,032 | 57.0% | 36.6% | |
| 43.98% | 191 | 2.1 | 825 | 10,043 | 49.3% | 41.1% | |
| 54.60% | 163 | 6.3 | 1,006 | 12,695 | 55.6% | 54.0% | |
| 51.90% | 158 | 3.0 | 845 | 11,223 | 48.1% | 53.8% | |
| 54.23% | 142 | 3.1 | 1,005 | 11,300 | 56.6% | 52.8% | |
| 40.29% | 139 | 3.6 | 787 | 10,244 | 42.1% | 39.0% | |
| 51.09% | 137 | 6.1 | 1,024 | 12,423 | 54.8% | 49.5% | |
| 51.91% | 131 | 3.7 | 871 | 10,816 | 40.9% | 57.5% | |
| 48.03% | 127 | 2.1 | 830 | 10,515 | 50.0% | 46.7% | |
| 50.41% | 121 | 1.8 | 784 | 9,904 | 51.2% | 50.0% | |
| 59.83% | 117 | 6.3 | 1,067 | 13,102 | 61.2% | 58.8% | |
| 58.62% | 116 | 2.0 | 864 | 11,278 | 66.7% | 55.4% | |
| 51.35% | 111 | 1.8 | 842 | 9,601 | 61.2% | 43.5% | |
| 47.75% | 111 | 5.3 | 1,024 | 11,488 | 46.5% | 48.5% | |
| 60.55% | 109 | 5.6 | 1,047 | 11,359 | 55.6% | 64.1% | |
| 42.99% | 107 | 1.9 | 910 | 10,199 | 51.2% | 37.9% | |
| 49.48% | 97 | 2.1 | 1,033 | 10,488 | 46.1% | 51.7% | |
| 55.21% | 96 | 5.9 | 989 | 11,633 | 55.6% | 55.0% | |
| 54.17% | 96 | 5.9 | 1,075 | 12,844 | 55.6% | 53.3% | |
| 43.16% | 95 | 6.4 | 1,042 | 12,833 | 53.3% | 38.5% | |
| 58.51% | 94 | 2.4 | 846 | 10,284 | 58.3% | 58.6% | |
| 45.74% | 94 | 1.9 | 807 | 10,063 | 55.6% | 39.7% | |
| 59.14% | 93 | 5.8 | 962 | 13,109 | 74.2% | 51.6% | |
| 58.62% | 87 | 1.8 | 834 | 9,673 | 73.2% | 45.6% | |
| 55.29% | 85 | 6.0 | 1,058 | 12,867 | 51.4% | 58.0% | |
| 50.60% | 83 | 1.7 | 671 | 9,264 | 51.2% | 50.0% | |
| 53.09% | 81 | 6.3 | 1,078 | 12,052 | 51.3% | 54.8% | |
| 59.74% | 77 | 2.0 | 907 | 10,473 | 59.4% | 60.0% | |
| 57.97% | 69 | 5.8 | 1,063 | 13,172 | 61.1% | 56.9% | |
| 60.29% | 68 | 1.8 | 875 | 10,679 | 44.4% | 66.0% | |
| 57.58% | 66 | 1.9 | 831 | 10,195 | 56.0% | 58.5% | |
| 45.31% | 64 | 1.8 | 813 | 9,728 | 44.0% | 46.1% | |
| 55.56% | 63 | 6.4 | 979 | 12,275 | 57.7% | 54.0% | |
| 58.06% | 62 | 5.9 | 926 | 13,155 | 81.0% | 46.3% | |
| 51.61% | 62 | 4.5 | 995 | 12,078 | 44.0% | 56.8% | |
| 56.67% | 60 | 5.8 | 1,016 | 11,266 | 55.0% | 57.5% | |
| 39.66% | 58 | 5.6 | 1,001 | 11,902 | 17.6% | 48.8% | |
| 55.17% | 58 | 6.6 | 979 | 11,618 | 52.0% | 57.6% | |
| 48.28% | 58 | 1.9 | 947 | 10,228 | 66.7% | 37.8% | |
| 49.12% | 57 | 4.0 | 1,035 | 11,343 | 42.1% | 52.6% | |
| 60.71% | 56 | 1.8 | 774 | 10,244 | 76.5% | 53.9% | |
| 46.43% | 56 | 4.5 | 930 | 11,385 | 45.8% | 46.9% | |
| 51.79% | 56 | 6.7 | 1,035 | 13,504 | 52.2% | 51.5% | |
| 56.36% | 55 | 6.2 | 1,011 | 12,990 | 60.9% | 53.1% | |
| 56.60% | 53 | 4.9 | 911 | 10,576 | 60.9% | 53.3% | |
| 43.14% | 51 | 5.1 | 1,054 | 10,623 | 40.7% | 45.8% | |
| 56.00% | 50 | 5.8 | 948 | 11,616 | 52.6% | 58.1% | |
| 51.02% | 49 | 5.2 | 838 | 10,509 | 56.5% | 46.1% | |
| 44.90% | 49 | 4.5 | 944 | 9,811 | 37.0% | 54.5% | |
| 41.67% | 48 | 6.7 | 1,015 | 10,975 | 52.0% | 30.4% | |
| 61.70% | 47 | 2.3 | 891 | 10,964 | 62.5% | 61.3% | |
| 54.35% | 46 | 5.1 | 897 | 9,991 | 47.4% | 59.3% | |
| 65.22% | 46 | 2.2 | 890 | 10,258 | 70.0% | 61.5% | |
| 42.22% | 45 | 1.9 | 877 | 9,931 | 45.0% | 40.0% | |
| 42.22% | 45 | 6.0 | 902 | 10,941 | 50.0% | 36.0% | |
| 52.27% | 44 | 1.8 | 771 | 9,745 | 63.2% | 44.0% | |
| 38.64% | 44 | 5.2 | 932 | 11,418 | 37.5% | 39.3% | |
| 46.51% | 43 | 3.0 | 917 | 11,389 | 38.9% | 52.0% | |
| 52.50% | 40 | 4.2 | 1,064 | 11,448 | 40.0% | 60.0% | |
| 42.50% | 40 | 5.3 | 1,029 | 11,740 | 27.3% | 48.3% | |
| 53.85% | 39 | 5.0 | 904 | 11,208 | 50.0% | 56.5% | |
| 47.37% | 38 | 2.1 | 895 | 12,338 | 37.5% | 50.0% | |
| 64.86% | 37 | 6.5 | 964 | 12,800 | 76.5% | 55.0% | |
| 41.67% | 36 | 5.8 | 946 | 11,197 | 40.0% | 42.9% | |
| 55.88% | 34 | 5.7 | 798 | 10,158 | 52.6% | 60.0% | |
| 64.71% | 34 | 4.5 | 927 | 11,172 | 66.7% | 63.6% | |
| 40.63% | 32 | 5.6 | 911 | 11,230 | 41.7% | 40.0% | |
| 81.25% | 32 | 6.2 | 1,047 | 13,786 | 81.8% | 81.0% | |
| 48.39% | 31 | 1.9 | 861 | 9,789 | 53.9% | 44.4% | |
| 58.06% | 31 | 3.6 | 1,011 | 10,414 | 61.5% | 55.6% | |
| 56.67% | 30 | 3.1 | 967 | 9,736 | 64.3% | 50.0% | |
| 51.85% | 27 | 1.6 | 773 | 9,918 | 54.5% | 50.0% | |
| 59.26% | 27 | 5.8 | 969 | 12,224 | 60.0% | 58.8% | |
| 50.00% | 26 | 4.5 | 1,278 | 12,100 | 37.5% | 55.6% | |
| 61.54% | 26 | 5.8 | 1,012 | 12,186 | 57.1% | 63.2% | |
| 30.77% | 26 | 5.3 | 959 | 10,596 | 41.7% | 21.4% | |
| 60.00% | 25 | 4.5 | 913 | 11,416 | 50.0% | 66.7% | |
| 28.00% | 25 | 6.2 | 1,081 | 12,638 | 30.8% | 25.0% | |
| 45.83% | 24 | 1.6 | 795 | 11,400 | 45.5% | 46.1% | |
| 54.17% | 24 | 5.6 | 969 | 11,795 | 57.1% | 52.9% | |
| 34.78% | 23 | 4.7 | 875 | 10,599 | 50.0% | 23.1% | |
| 54.55% | 22 | 6.0 | 1,058 | 12,902 | 44.4% | 61.5% | |
| 68.18% | 22 | 6.4 | 1,040 | 12,183 | 77.8% | 61.5% | |
| 47.62% | 21 | 1.2 | 952 | 13,411 | 40.0% | 50.0% | |
| 38.10% | 21 | 1.4 | 760 | 10,103 | 37.5% | 38.5% | |
| 47.62% | 21 | 1.9 | 793 | 8,474 | 50.0% | 44.4% | |
| 65.00% | 20 | 5.0 | 1,081 | 11,246 | 66.7% | 63.6% | |
| 36.84% | 19 | 1.5 | 901 | 11,628 | 50.0% | 22.2% | |
| 42.11% | 19 | 4.3 | 858 | 10,799 | 37.5% | 45.5% | |
| 63.16% | 19 | 3.7 | 1,024 | 12,966 | 50.0% | 72.7% | |
| 63.16% | 19 | 1.9 | 929 | 12,423 | 80.0% | 57.1% | |
| 68.42% | 19 | 2.4 | 873 | 12,452 | 85.7% | 58.3% | |
| 42.11% | 19 | 4.4 | 1,021 | 11,009 | 57.1% | 33.3% | |
| 73.68% | 19 | 6.2 | 1,202 | 13,906 | 80.0% | 71.4% | |
| 57.89% | 19 | 5.8 | 862 | 9,915 | 37.5% | 72.7% | |
| 66.67% | 18 | 6.4 | 1,131 | 10,412 | 77.8% | 55.6% | |
| 27.78% | 18 | 5.0 | 934 | 10,238 | 40.0% | 12.5% | |
| 38.89% | 18 | 5.8 | 1,158 | 12,625 | 50.0% | 30.0% | |
| 44.44% | 18 | 2.0 | 853 | 12,695 | 57.1% | 36.4% | |
| 66.67% | 18 | 2.6 | 944 | 13,498 | 75.0% | 64.3% | |
| 52.94% | 17 | 5.7 | 1,210 | 12,529 | 66.7% | 45.5% | |
| 18.75% | 16 | 2.1 | 870 | 12,247 | 0.0% | 27.3% | |
| 56.25% | 16 | 6.3 | 991 | 10,982 | 55.6% | 57.1% | |
| 56.25% | 16 | 1.6 | 974 | 11,952 | 57.1% | 55.6% | |
| 46.67% | 15 | 1.3 | 989 | 12,275 | 25.0% | 54.5% | |
| 53.33% | 15 | 4.7 | 1,201 | 11,837 | 100.0% | 30.0% | |
| 35.71% | 14 | 6.4 | 948 | 11,763 | 75.0% | 20.0% | |
| 57.14% | 14 | 5.6 | 951 | 12,342 | 50.0% | 60.0% | |
| 28.57% | 14 | 4.9 | 1,038 | 10,423 | 14.3% | 42.9% | |
| 30.77% | 13 | 5.1 | 936 | 11,994 | 50.0% | 22.2% | |
| 53.85% | 13 | 2.4 | 1,063 | 11,660 | 40.0% | 62.5% | |
| 61.54% | 13 | 1.6 | 766 | 9,928 | 60.0% | 62.5% | |
| 38.46% | 13 | 4.4 | 1,132 | 10,651 | 50.0% | 33.3% | |
| 69.23% | 13 | 6.5 | 1,034 | 12,503 | 83.3% | 57.1% | |
| 38.46% | 13 | 5.2 | 1,104 | 11,651 | 33.3% | 42.9% | |
| 75.00% | 12 | 1.5 | 988 | 12,513 | 83.3% | 66.7% | |
| 66.67% | 12 | 4.6 | 925 | 11,948 | 100.0% | 55.6% | |
| 75.00% | 12 | 4.3 | 857 | 11,010 | 66.7% | 83.3% | |
| 41.67% | 12 | 1.2 | 744 | 11,173 | 28.6% | 60.0% | |
| 66.67% | 12 | 2.2 | 745 | 11,893 | 66.7% | 66.7% | |
| 36.36% | 11 | 4.9 | 1,115 | 11,893 | 66.7% | 25.0% | |
| 54.55% | 11 | 1.4 | 650 | 9,651 | 40.0% | 66.7% | |
| 50.00% | 10 | 5.8 | 1,063 | 11,850 | 66.7% | 42.9% | |
| 60.00% | 10 | 1.4 | 1,125 | 15,037 | 25.0% | 83.3% | |
| 55.56% | 9 | 4.9 | 1,213 | 12,818 | 33.3% | 66.7% | |
| 77.78% | 9 | 1.3 | 784 | 12,658 | 50.0% | 85.7% | |
| 22.22% | 9 | 5.1 | 909 | 9,548 | 0.0% | 50.0% | |
| 66.67% | 9 | 4.9 | 1,143 | 11,548 | 33.3% | 83.3% | |
| 33.33% | 9 | 4.7 | 812 | 8,352 | 0.0% | 75.0% | |
| 11.11% | 9 | 6.0 | 712 | 8,530 | 0.0% | 33.3% | |
| 75.00% | 8 | 5.2 | 1,121 | 14,042 | 66.7% | 80.0% | |
| 50.00% | 8 | 5.0 | 777 | 10,223 | 33.3% | 60.0% | |
| 37.50% | 8 | 2.8 | 916 | 11,852 | 0.0% | 50.0% | |
| 37.50% | 8 | 5.3 | 799 | 6,425 | 50.0% | 0.0% | |
| 57.14% | 7 | 1.2 | 871 | 12,721 | 0.0% | 66.7% | |
| 83.33% | 6 | 2.3 | 780 | 11,214 | 100.0% | 50.0% | |
| 50.00% | 6 | 3.3 | 880 | 9,414 | 50.0% | 50.0% | |
| 33.33% | 6 | 1.2 | 1,082 | 11,813 | 0.0% | 50.0% | |
| 33.33% | 6 | 4.3 | 1,000 | 12,924 | 33.3% | 33.3% | |
| 33.33% | 6 | 2.4 | 680 | 10,880 | 50.0% | 25.0% | |
| 33.33% | 6 | 1.3 | 815 | 10,984 | 33.3% | 33.3% | |
| 60.00% | 5 | 6.4 | 797 | 10,147 | 66.7% | 50.0% | |
| 60.00% | 5 | 2.0 | 820 | 11,105 | 66.7% | 50.0% | |
| 40.00% | 5 | 5.1 | 1,090 | 11,446 | 0.0% | 50.0% | |
| 40.00% | 5 | 6.0 | 854 | 8,953 | 0.0% | 66.7% | |
| 40.00% | 5 | 3.9 | 1,036 | 10,326 | 33.3% | 50.0% | |
| 40.00% | 5 | 4.3 | 1,055 | 10,875 | 33.3% | 50.0% | |
| 60.00% | 5 | 6.4 | 986 | 10,887 | 100.0% | 33.3% | |
| 60.00% | 5 | 4.3 | 1,333 | 13,011 | 0.0% | 75.0% | |
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Brand vs Caitlyn - Frequently Asked Questions
How does Brand do against Caitlyn in League of Legends?
Brand wins the Brand vs Caitlyn matchup with a 53.7% win rate compared to Caitlyn's 46.3%, a 7.3 percentage point difference. This data is based on 300 recent ranked games in patch 26.11.
How does Brand do against Caitlyn in the early game?
In the early game, Brand has the advantage against Caitlyn with a 58.6% win rate versus 41.4%. Brand players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Brand do against Caitlyn in the late game?
In the late game, Brand takes over the Brand vs Caitlyn matchup with a 50.0% win rate compared to 50.0%. Brand scales better into team fights and objective contests after 25 minutes.
Who wins the Brand vs Caitlyn matchup?
Brand wins the matchup against Caitlyn with a 53.7% win rate in League of Legends patch 26.11. The 7.3 percentage point advantage means Brand is significantly favored in this lane matchup based on 300 games analyzed.
What is the best Brand build against Caitlyn?
The best Brand build against Caitlyn includes optimized core items. Check the matchup breakdown above for the full item path and build order.
What are the best Brand runes against Caitlyn?
The best Brand runes against Caitlyn use the Sorcery primary tree with Precision secondary. This rune setup achieves a 61.8% win rate in the Brand vs Caitlyn matchup. See the full rune breakdown in the matchup comparison above.
Does Brand counter Caitlyn?
Yes, Brand has a favorable matchup against Caitlyn with a 53.7% win rate. Brand strongly counters Caitlyn in lane based on current patch 26.11 data.
How do I play Brand against Caitlyn?
When playing Brand 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.