Brandvs Caitlyn
Brand vs Caitlyn es un matchup a decisive en LoL parche 26.11. Brand gana con un 53.7% de win rate (+7.3%) sobre Caitlyn basado en 300 partidas. Brand holds the advantage in both the early and late game. A continuación encontrarás el mejor build, runas, estadísticas de línea y estrategias de Brand para el matchup Brand vs Caitlyn.
Análisis de enfrentamiento de Brand
Usa el menú desplegable para seleccionar un oponente y ver un análisis detallado de cómo Brand se desempeña contra él. Obtendrás tasas de victoria cara a cara, estadísticas de línea, la mejor build y runas para el enfrentamiento, y análisis de principio vs final de partida — todo basado en datos reales de clasificatoria.
¿Quién gana el enfrentamiento Brand vs Caitlyn?
Resumen del enfrentamiento Brand vs Caitlyn
El enfrentamiento Brand vs Caitlyn es un enfrentamiento decisivo en el juego clasificatorio de League of Legends. Basado en 300 partidas recientes analizadas, Brand gana con una tasa de victoria del 53.7% comparado con el 46.3% de Caitlyn, dando a Brand una ventaja de 7.3 puntos porcentuales. Brand domina en cada etapa — desde la línea temprana hasta los combates de equipo tardíos. Esta ventaja consistente hace difícil para los jugadores de Caitlyn encontrar ventanas favorables, por lo que las estrategias dependientes del equipo y evitar confrontaciones en solitario son esenciales. La brecha estadística más significativa está en control de masas, donde Brand lidera por 0.6s CC/min — una diferencia que influye fuertemente en el resultado de intercambios y escaramuzas. Los jugadores de Brand pueden elegir con confianza contra Caitlyn y jugar agresivamente desde el nivel 1. Busca establecer dominio de línea temprano a través de intercambios favorables y alejar a Caitlyn del CS siempre que sea posible. Entender estas dinámicas del enfrentamiento es esencial para las decisiones de selección de campeones y la estrategia durante el juego al enfrentar a este oponente de línea.
Desglose de la fase de línea Brand vs Caitlyn
Caitlyn está favorecido durante la fase de línea contra Brand, ganando 3 de 5 categorías estadísticas clave. Caitlyn tiene ventajas en farmeo, ingresos de oro y sustain, haciéndolo el mejor en línea en este enfrentamiento.
Early Game vs Late Game
Brand58.6%
Caitlyn41.4%Brand50.0%Caitlyn50.0%Brand domina el juego temprano (primeros 15 minutos) con una comandante tasa de victoria del 58.6% — una ventaja de 17.2 puntos porcentuales sobre Caitlyn. Este juego temprano desigual significa que Brand puede dictar el ritmo de la línea desde el nivel 1, controlando intercambios, estado de oleadas y prioridad del río.
El juego tardío (25+ minutos) está igualmente equilibrado, con Brand al 50.0% de tasa de victoria — solo 0.0 puntos por delante de Caitlyn. La ejecución de combates de equipo y el juego macro determinan el ganador en esta etapa, no la ventaja del enfrentamiento de campeones.
Brand mantiene la ventaja en cada etapa del juego, haciendo este un enfrentamiento consistentemente favorable desde la línea hasta los combates de equipo tardíos. Los jugadores de Caitlyn deben buscar jugadas superiores, estrategias dependientes del equipo y capturas en lugar de depender del escalado para ganar este enfrentamiento.
Best Brand Runes Against Caitlyn
Brujería
Precisión
Usar Brujería primario con Precisión secundario permite a Brand presionar su ventaja contra Caitlyn, amplificando las fortalezas que hacen favorable este enfrentamiento.
Datos de matchup de Brand para el parche 26.11 de League of Legends. La tabla muestra la tasa de victoria, diferencia de oro y estadisticas de rendimiento de Brand contra cada campeon en la meta actual. Haz clic en cualquier nombre de campeon para ver un desglose detallado que incluye el mejor build de Brand, runas, estadisticas de linea y analisis de early vs late game para ese matchup especifico.
Oponente | Tasa de victoria | Partidas | CS/min | Daño/min | Oro/partida | TV Temprana | TV Tardia |
|---|---|---|---|---|---|---|---|
| 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 - Preguntas Frecuentes
Como le va a Brand contra Caitlyn en League of Legends?
Brand gana el matchup de Brand vs Caitlyn con una tasa de victorias de 53.7% comparado con el 46.3% de Caitlyn, una diferencia de 7.3 puntos porcentuales. Estos datos se basan en 300 partidas rankeadas recientes en el parche 26.11.
Como le va a Brand contra Caitlyn en el early game?
En el early game, Brand tiene la ventaja contra Caitlyn con una tasa de victorias de 58.6% versus 41.4%. Los jugadores de Brand deben presionar su ventaja en linea a traves de trades agresivos y control de oleada durante los primeros 15 minutos.
Como le va a Brand contra Caitlyn en el late game?
En el late game, Brand toma el control del matchup Brand vs Caitlyn con una tasa de victorias de 50.0% comparado con 50.0%. Brand escala mejor en peleas de equipo y disputas de objetivos despues de los 25 minutos.
Quien gana el matchup de Brand vs Caitlyn?
Brand gana el matchup contra Caitlyn con una tasa de victorias de 53.7% en el parche 26.11 de League of Legends. La ventaja de 7.3 puntos porcentuales significa que Brand esta significantly favorecido en este matchup de linea basado en 300 partidas analizadas.
Cual es el mejor build de Brand contra Caitlyn?
El mejor build de Brand contra Caitlyn incluye optimized core items. Revisa el desglose del matchup arriba para ver la ruta completa de objetos y el orden de build.
Cuales son las mejores runas de Brand contra Caitlyn?
Las mejores runas de Brand contra Caitlyn usan el arbol primario Brujería con Precisión secundario. This rune setup achieves a 61.8% win rate in the Brand vs Caitlyn matchup. Mira el desglose completo de runas en la comparacion de matchup arriba.
Brand contraresta a Caitlyn?
Si, Brand tiene un matchup favorable contra Caitlyn con una tasa de victorias de 53.7%. Brand strongly counters Caitlyn en linea basado en los datos actuales del parche 26.11.
Como juego Brand contra Caitlyn?
Cuando juegas Brand contra Caitlyn, aprovecha tus ventajas estadisticas tradeando agresivamente durante ventanas favorables. You have early game priority — look for kills and zone control before first recall. Construye los objetos y runas recomendados para este matchup especifico para mejores resultados.