BrandMatchupy
Dane matchupów Brand dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Brand. Dowiedz się kogo Brand pokonuje i komu przegrywa na linii.
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.
Dane matchupow Brand dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Brand, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Brand, runy, statystyki liniowe i analize wczesnej vs poznej gry dla tego konkretnego matchupu.
Przeciwnik | Winrate | Mecze | CS/min | OBR/min | Zloto/mecz | Wczesne WR | Pozne WR |
|---|---|---|---|---|---|---|---|
| 50.78% | 516 | 2.0 | 825 | 9,930 | 53.8% | 48.7% | |
| 50.91% | 497 | 2.7 | 774 | 10,349 | 51.3% | 50.6% | |
| 56.49% | 416 | 6.4 | 1,104 | 13,148 | 61.2% | 53.8% | |
| 49.18% | 366 | 2.6 | 920 | 10,788 | 48.9% | 49.3% | |
| 55.49% | 346 | 1.8 | 879 | 10,244 | 59.2% | 53.2% | |
| 45.03% | 322 | 1.7 | 827 | 9,462 | 42.8% | 46.7% | |
| 52.51% | 299 | 2.1 | 811 | 10,422 | 52.8% | 52.3% | |
| 52.98% | 285 | 6.3 | 1,012 | 12,683 | 55.9% | 51.1% | |
| 53.82% | 275 | 5.7 | 969 | 12,304 | 54.3% | 53.5% | |
| 51.10% | 272 | 1.9 | 898 | 10,258 | 51.5% | 50.9% | |
| 53.14% | 271 | 1.9 | 870 | 10,467 | 62.4% | 48.3% | |
| 55.74% | 235 | 5.8 | 1,009 | 12,450 | 60.2% | 52.5% | |
| 58.48% | 224 | 6.3 | 996 | 12,659 | 67.8% | 52.2% | |
| 41.74% | 218 | 3.7 | 848 | 10,928 | 32.9% | 46.5% | |
| 51.20% | 209 | 6.3 | 1,034 | 12,345 | 48.9% | 52.9% | |
| 48.44% | 192 | 2.8 | 816 | 10,207 | 41.9% | 52.5% | |
| 49.21% | 191 | 1.9 | 833 | 10,718 | 44.1% | 52.0% | |
| 60.00% | 190 | 2.8 | 1,029 | 10,680 | 60.0% | 60.0% | |
| 50.27% | 183 | 1.7 | 820 | 9,919 | 62.0% | 42.9% | |
| 56.04% | 182 | 5.9 | 967 | 11,108 | 58.7% | 54.2% | |
| 47.49% | 179 | 3.5 | 894 | 10,897 | 41.3% | 51.9% | |
| 60.11% | 178 | 6.2 | 996 | 12,431 | 57.1% | 62.0% | |
| 54.86% | 175 | 1.8 | 853 | 9,558 | 52.8% | 56.3% | |
| 54.76% | 168 | 1.8 | 838 | 9,327 | 58.9% | 51.6% | |
| 49.40% | 166 | 1.8 | 917 | 10,470 | 48.4% | 50.0% | |
| 61.82% | 165 | 5.5 | 1,019 | 11,744 | 56.1% | 65.7% | |
| 45.91% | 159 | 2.3 | 1,046 | 10,012 | 38.1% | 51.0% | |
| 51.27% | 158 | 2.1 | 865 | 11,371 | 57.5% | 48.6% | |
| 44.83% | 145 | 6.0 | 994 | 10,977 | 46.0% | 43.7% | |
| 56.83% | 139 | 5.7 | 991 | 10,754 | 57.4% | 56.4% | |
| 49.26% | 136 | 2.3 | 851 | 10,195 | 44.2% | 52.4% | |
| 57.89% | 133 | 1.7 | 759 | 9,498 | 61.5% | 55.6% | |
| 48.87% | 133 | 1.8 | 907 | 10,822 | 52.4% | 47.3% | |
| 56.49% | 131 | 1.6 | 886 | 9,879 | 64.5% | 49.3% | |
| 50.38% | 131 | 1.8 | 692 | 9,397 | 55.7% | 45.7% | |
| 58.46% | 130 | 1.8 | 794 | 9,780 | 64.8% | 54.0% | |
| 52.46% | 122 | 6.2 | 1,046 | 13,109 | 54.0% | 51.4% | |
| 56.20% | 121 | 6.0 | 1,008 | 12,336 | 58.3% | 54.8% | |
| 55.05% | 109 | 4.8 | 956 | 11,112 | 61.4% | 50.8% | |
| 63.81% | 105 | 6.2 | 1,045 | 13,095 | 75.7% | 57.4% | |
| 50.00% | 96 | 4.2 | 950 | 11,825 | 42.9% | 52.9% | |
| 46.88% | 96 | 6.2 | 992 | 11,379 | 54.5% | 42.9% | |
| 61.05% | 95 | 4.7 | 1,035 | 11,067 | 58.8% | 62.3% | |
| 44.21% | 95 | 5.7 | 1,010 | 11,205 | 45.0% | 43.6% | |
| 55.91% | 93 | 5.8 | 1,075 | 12,297 | 63.3% | 52.4% | |
| 52.81% | 89 | 4.9 | 1,033 | 12,211 | 45.2% | 56.9% | |
| 54.02% | 87 | 5.4 | 905 | 11,631 | 48.3% | 56.9% | |
| 55.81% | 86 | 5.5 | 973 | 11,672 | 58.1% | 54.5% | |
| 52.33% | 86 | 5.7 | 1,007 | 10,185 | 48.6% | 55.1% | |
| 59.26% | 81 | 5.7 | 913 | 12,682 | 58.6% | 59.6% | |
| 55.70% | 79 | 5.4 | 930 | 10,626 | 45.5% | 63.0% | |
| 48.72% | 78 | 2.6 | 930 | 11,773 | 48.1% | 49.0% | |
| 54.55% | 77 | 1.7 | 879 | 10,142 | 64.5% | 47.8% | |
| 42.67% | 75 | 2.0 | 833 | 10,008 | 38.7% | 45.5% | |
| 48.00% | 75 | 1.9 | 901 | 9,382 | 55.9% | 41.5% | |
| 55.56% | 72 | 5.9 | 1,105 | 13,006 | 62.1% | 51.2% | |
| 56.52% | 69 | 6.0 | 1,006 | 12,579 | 57.7% | 55.8% | |
| 61.76% | 68 | 1.9 | 909 | 11,047 | 57.1% | 63.8% | |
| 58.82% | 68 | 5.3 | 975 | 11,815 | 60.7% | 57.5% | |
| 49.25% | 67 | 5.6 | 1,083 | 11,822 | 43.5% | 52.3% | |
| 53.03% | 66 | 1.6 | 770 | 9,306 | 45.2% | 60.0% | |
| 48.48% | 66 | 2.1 | 856 | 10,144 | 55.6% | 43.6% | |
| 57.58% | 66 | 6.0 | 1,109 | 11,880 | 70.0% | 52.2% | |
| 45.16% | 62 | 1.8 | 844 | 12,103 | 36.8% | 48.8% | |
| 62.90% | 62 | 6.3 | 979 | 11,619 | 50.0% | 76.7% | |
| 52.46% | 61 | 5.9 | 1,026 | 12,295 | 55.2% | 50.0% | |
| 44.26% | 61 | 6.2 | 970 | 12,248 | 40.9% | 46.1% | |
| 54.10% | 61 | 6.4 | 967 | 13,316 | 52.6% | 54.8% | |
| 57.38% | 61 | 4.2 | 956 | 11,331 | 70.0% | 51.2% | |
| 48.33% | 60 | 4.4 | 945 | 11,106 | 31.8% | 57.9% | |
| 40.68% | 59 | 4.7 | 1,022 | 11,998 | 26.3% | 47.5% | |
| 45.76% | 59 | 5.7 | 1,016 | 11,836 | 42.9% | 47.4% | |
| 55.93% | 59 | 5.3 | 869 | 11,585 | 54.5% | 56.8% | |
| 60.34% | 58 | 3.9 | 1,044 | 11,691 | 52.0% | 66.7% | |
| 53.45% | 58 | 3.4 | 853 | 9,929 | 43.5% | 60.0% | |
| 54.55% | 55 | 5.7 | 1,055 | 11,089 | 64.0% | 46.7% | |
| 45.45% | 55 | 4.7 | 969 | 11,440 | 52.6% | 41.7% | |
| 53.70% | 54 | 5.9 | 922 | 11,802 | 45.0% | 58.8% | |
| 40.74% | 54 | 5.6 | 920 | 10,862 | 39.1% | 41.9% | |
| 51.92% | 52 | 6.7 | 1,103 | 12,824 | 47.6% | 54.8% | |
| 56.86% | 51 | 6.3 | 1,030 | 12,645 | 72.2% | 48.5% | |
| 51.02% | 49 | 2.1 | 917 | 10,432 | 56.5% | 46.1% | |
| 44.68% | 47 | 4.2 | 886 | 10,963 | 35.0% | 51.9% | |
| 39.13% | 46 | 4.8 | 962 | 10,630 | 27.3% | 50.0% | |
| 38.64% | 44 | 5.6 | 967 | 11,383 | 42.9% | 36.7% | |
| 46.51% | 43 | 2.8 | 955 | 10,051 | 45.5% | 47.6% | |
| 46.51% | 43 | 4.0 | 1,069 | 10,681 | 43.8% | 48.1% | |
| 60.47% | 43 | 5.8 | 1,114 | 12,584 | 69.2% | 56.7% | |
| 54.76% | 42 | 2.2 | 888 | 13,379 | 66.7% | 48.1% | |
| 65.00% | 40 | 5.9 | 1,063 | 12,482 | 46.7% | 76.0% | |
| 64.10% | 39 | 1.5 | 968 | 13,242 | 57.1% | 68.0% | |
| 46.15% | 39 | 4.5 | 1,169 | 12,360 | 72.7% | 35.7% | |
| 47.37% | 38 | 2.1 | 930 | 11,253 | 56.3% | 40.9% | |
| 50.00% | 38 | 6.5 | 1,136 | 12,915 | 70.0% | 42.9% | |
| 63.89% | 36 | 2.4 | 1,000 | 13,221 | 70.0% | 61.5% | |
| 51.43% | 35 | 2.0 | 988 | 12,855 | 50.0% | 52.2% | |
| 57.14% | 35 | 1.5 | 924 | 11,993 | 66.7% | 53.9% | |
| 50.00% | 34 | 6.1 | 1,006 | 12,677 | 50.0% | 50.0% | |
| 50.00% | 34 | 1.4 | 844 | 12,617 | 50.0% | 50.0% | |
| 54.55% | 33 | 1.2 | 803 | 10,993 | 50.0% | 58.8% | |
| 62.50% | 32 | 6.2 | 1,132 | 11,646 | 76.5% | 46.7% | |
| 54.84% | 31 | 4.6 | 924 | 12,125 | 42.9% | 64.7% | |
| 53.33% | 30 | 5.4 | 983 | 12,682 | 50.0% | 54.5% | |
| 46.67% | 30 | 2.0 | 860 | 11,506 | 56.3% | 35.7% | |
| 53.33% | 30 | 4.5 | 1,015 | 12,153 | 40.0% | 60.0% | |
| 62.07% | 29 | 5.6 | 1,056 | 12,856 | 66.7% | 60.9% | |
| 46.43% | 28 | 1.6 | 831 | 12,027 | 50.0% | 43.8% | |
| 50.00% | 28 | 5.9 | 1,018 | 11,547 | 46.7% | 53.9% | |
| 48.15% | 27 | 6.6 | 1,034 | 12,867 | 69.2% | 28.6% | |
| 53.85% | 26 | 6.3 | 1,050 | 11,827 | 45.5% | 60.0% | |
| 42.31% | 26 | 4.5 | 976 | 12,397 | 50.0% | 37.5% | |
| 50.00% | 26 | 5.4 | 955 | 10,241 | 61.5% | 38.5% | |
| 44.00% | 25 | 1.8 | 892 | 9,376 | 40.0% | 46.7% | |
| 58.33% | 24 | 1.8 | 1,001 | 11,199 | 77.8% | 46.7% | |
| 54.17% | 24 | 5.8 | 1,039 | 10,855 | 50.0% | 60.0% | |
| 50.00% | 24 | 4.6 | 984 | 10,011 | 57.1% | 40.0% | |
| 17.39% | 23 | 1.4 | 916 | 11,021 | 20.0% | 15.4% | |
| 39.13% | 23 | 3.9 | 865 | 9,623 | 38.5% | 40.0% | |
| 43.48% | 23 | 2.3 | 919 | 12,326 | 44.4% | 42.9% | |
| 47.83% | 23 | 2.1 | 827 | 12,102 | 44.4% | 50.0% | |
| 54.55% | 22 | 1.8 | 966 | 12,758 | 62.5% | 50.0% | |
| 40.91% | 22 | 6.0 | 1,125 | 12,738 | 55.6% | 30.8% | |
| 66.67% | 21 | 2.5 | 1,158 | 12,409 | 85.7% | 57.1% | |
| 52.38% | 21 | 6.1 | 1,121 | 12,562 | 33.3% | 60.0% | |
| 35.00% | 20 | 1.7 | 826 | 9,802 | 30.0% | 40.0% | |
| 40.00% | 20 | 4.5 | 1,166 | 11,468 | 42.9% | 38.5% | |
| 52.63% | 19 | 5.0 | 929 | 10,909 | 70.0% | 33.3% | |
| 42.11% | 19 | 5.6 | 925 | 9,104 | 60.0% | 22.2% | |
| 36.84% | 19 | 2.7 | 916 | 12,431 | 25.0% | 40.0% | |
| 52.63% | 19 | 3.1 | 1,057 | 11,504 | 66.7% | 46.1% | |
| 55.56% | 18 | 3.4 | 851 | 10,726 | 77.8% | 33.3% | |
| 61.11% | 18 | 5.2 | 1,026 | 11,194 | 60.0% | 62.5% | |
| 77.78% | 18 | 6.2 | 1,062 | 12,434 | 83.3% | 75.0% | |
| 58.82% | 17 | 2.2 | 858 | 11,397 | 50.0% | 61.5% | |
| 58.82% | 17 | 4.5 | 1,122 | 11,518 | 40.0% | 66.7% | |
| 56.25% | 16 | 1.2 | 971 | 11,624 | 50.0% | 62.5% | |
| 50.00% | 16 | 4.5 | 1,254 | 11,064 | 71.4% | 33.3% | |
| 31.25% | 16 | 4.1 | 961 | 9,395 | 25.0% | 37.5% | |
| 40.00% | 15 | 1.7 | 723 | 8,704 | 50.0% | 28.6% | |
| 46.67% | 15 | 6.0 | 1,105 | 12,530 | 33.3% | 55.6% | |
| 40.00% | 15 | 1.5 | 1,058 | 12,539 | 40.0% | 40.0% | |
| 28.57% | 14 | 1.4 | 1,048 | 10,594 | 33.3% | 25.0% | |
| 57.14% | 14 | 5.4 | 1,145 | 11,547 | 60.0% | 55.6% | |
| 64.29% | 14 | 5.1 | 1,057 | 10,186 | 60.0% | 66.7% | |
| 64.29% | 14 | 6.2 | 1,385 | 10,749 | 85.7% | 42.9% | |
| 50.00% | 14 | 1.9 | 996 | 11,457 | 57.1% | 42.9% | |
| 46.15% | 13 | 5.6 | 1,082 | 11,936 | 50.0% | 42.9% | |
| 69.23% | 13 | 5.4 | 1,083 | 9,304 | 71.4% | 66.7% | |
| 41.67% | 12 | 4.7 | 804 | 8,887 | 33.3% | 66.7% | |
| 50.00% | 12 | 5.4 | 1,081 | 9,760 | 42.9% | 60.0% | |
| 33.33% | 12 | 1.0 | 734 | 9,841 | 33.3% | 33.3% | |
| 45.45% | 11 | 5.0 | 1,127 | 9,208 | 50.0% | 40.0% | |
| 72.73% | 11 | 4.3 | 903 | 10,841 | 71.4% | 75.0% | |
| 63.64% | 11 | 6.4 | 1,068 | 8,143 | 55.6% | 100.0% | |
| 54.55% | 11 | 5.6 | 1,111 | 11,045 | 28.6% | 100.0% | |
| 30.00% | 10 | 2.9 | 778 | 7,407 | 28.6% | 33.3% | |
| 60.00% | 10 | 3.5 | 1,191 | 13,409 | 50.0% | 62.5% | |
| 40.00% | 10 | 1.6 | 923 | 11,523 | 66.7% | 28.6% | |
| 55.56% | 9 | 4.4 | 1,140 | 13,730 | 0.0% | 62.5% | |
| 33.33% | 9 | 2.2 | 982 | 12,893 | 33.3% | 33.3% | |
| 55.56% | 9 | 4.7 | 828 | 10,215 | 50.0% | 60.0% | |
| 66.67% | 9 | 1.0 | 728 | 10,161 | 80.0% | 50.0% | |
| 44.44% | 9 | 1.6 | 779 | 11,770 | 50.0% | 42.9% | |
| 25.00% | 8 | 6.5 | 806 | 7,252 | 14.3% | 100.0% | |
| 62.50% | 8 | 5.0 | 1,038 | 12,212 | 100.0% | 57.1% | |
| 75.00% | 8 | 5.7 | 997 | 13,464 | 100.0% | 71.4% | |
| 37.50% | 8 | 5.5 | 1,120 | 12,962 | 0.0% | 42.9% | |
| 57.14% | 7 | 5.8 | 1,112 | 12,953 | 50.0% | 60.0% | |
| 83.33% | 6 | 1.2 | 1,012 | 13,683 | 100.0% | 80.0% | |
| 60.00% | 5 | 1.2 | 692 | 9,339 | 50.0% | 66.7% | |
| 20.00% | 5 | 2.2 | 862 | 12,277 | 0.0% | 33.3% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Brand - Czesto zadawane pytania
Jakie sa najlepsze matchupy Brand w League of Legends?
Najlepsze matchupy Brand w patchu 26.10 to Seraphine, Lux, and Smolder. Brand ma najwyzsze wskazniki zwyciestwa przeciwko tym czempionom i moze dominowac na linii, gdy sie z nimi mierzy. Wybierz dowolnego przeciwnika z tabeli matchupow, aby zobaczyc szczegolowe statystyki.
Jakie sa najgorsze matchupy Brand?
Najgorsze matchupy Brand to Jarvan IV, Bel'Veth, and Gnar. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Brand i moga wykorzystac slabosci Brand na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Brand?
Mozesz sprawdzic dane matchupow Brand wlasnie tutaj na tej stronie. Tabela matchupow pokazuje wskazniki zwyciestwa i statystyki przeciwko kazdemu czempionowi. Kliknij dowolna nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build, runy, statystyki linii i analize early vs late game dla tego konkretnego matchupu Brand.
Kogo kontruje Brand w League of Legends?
Brand kontruje Seraphine, Lux, and Smolder w patchu 26.10. To sa najbardziej korzystne matchupy Brand, gdzie Brand ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Brand w szczegolach.
Kto kontruje Brand na linii?
Jarvan IV, Bel'Veth, and Gnar kontruja Brand na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Brand. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.