BrandMatchupy
Dane matchupów Brand dla League of Legends patch 26.12. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Brand. Dowiedz się kogo Brand pokonuje i komu przegrywa na linii.
Analiza matchupu Brand
Użyj menu rozwijanego, aby wybrać przeciwnika i zobaczyć szczegółową analizę, jak Brand radzi sobie przeciwko niemu. Otrzymasz wskaźniki wygranych bezpośrednich, statystyki linii, najlepszy build i runy do matchupu oraz analizę wczesnej vs późnej gry — wszystko oparte na prawdziwych danych z rankingu.
Dane matchupow Brand dla patcha 26.12 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 |
|---|---|---|---|---|---|---|---|
| 52.58% | 97 | 4.8 | 956 | 11,352 | 55.8% | 50.0% | |
| 48.75% | 80 | 2.8 | 781 | 11,028 | 41.7% | 51.8% | |
| 47.83% | 69 | 2.5 | 869 | 11,321 | 42.9% | 50.0% | |
| 64.41% | 59 | 6.2 | 1,029 | 12,317 | 64.0% | 64.7% | |
| 56.36% | 55 | 6.0 | 961 | 12,292 | 65.4% | 48.3% | |
| 50.91% | 55 | 5.9 | 1,053 | 12,226 | 55.2% | 46.1% | |
| 59.18% | 49 | 6.4 | 1,087 | 12,190 | 72.7% | 48.1% | |
| 54.17% | 48 | 6.1 | 977 | 12,737 | 47.6% | 59.3% | |
| 56.25% | 48 | 1.7 | 888 | 10,467 | 61.1% | 53.3% | |
| 52.38% | 42 | 1.8 | 851 | 9,626 | 69.6% | 31.6% | |
| 51.22% | 41 | 2.1 | 864 | 10,109 | 33.3% | 61.5% | |
| 46.15% | 39 | 1.9 | 856 | 9,830 | 52.9% | 40.9% | |
| 54.29% | 35 | 1.7 | 854 | 9,336 | 50.0% | 57.9% | |
| 54.84% | 31 | 6.4 | 954 | 12,025 | 47.1% | 64.3% | |
| 40.00% | 30 | 1.7 | 779 | 8,731 | 46.7% | 33.3% | |
| 58.62% | 29 | 6.5 | 1,078 | 13,392 | 50.0% | 60.9% | |
| 73.08% | 26 | 5.8 | 1,044 | 12,381 | 71.4% | 75.0% | |
| 60.00% | 25 | 1.7 | 791 | 10,365 | 44.4% | 68.8% | |
| 66.67% | 24 | 3.6 | 915 | 10,146 | 66.7% | 66.7% | |
| 54.17% | 24 | 2.5 | 804 | 11,013 | 77.8% | 40.0% | |
| 43.48% | 23 | 5.3 | 1,017 | 12,293 | 66.7% | 35.3% | |
| 50.00% | 22 | 3.5 | 764 | 10,625 | 54.5% | 45.5% | |
| 50.00% | 22 | 3.4 | 850 | 10,096 | 55.6% | 46.1% | |
| 38.10% | 21 | 3.9 | 995 | 11,146 | 25.0% | 41.2% | |
| 66.67% | 21 | 2.3 | 764 | 10,197 | 60.0% | 72.7% | |
| 42.86% | 21 | 1.9 | 877 | 10,762 | 42.9% | 42.9% | |
| 75.00% | 20 | 3.5 | 986 | 13,615 | 100.0% | 64.3% | |
| 80.00% | 20 | 6.2 | 970 | 12,118 | 70.0% | 90.0% | |
| 63.16% | 19 | 1.7 | 862 | 10,739 | 60.0% | 64.3% | |
| 52.63% | 19 | 1.7 | 833 | 9,771 | 62.5% | 45.5% | |
| 50.00% | 18 | 2.8 | 977 | 11,557 | 33.3% | 53.3% | |
| 33.33% | 18 | 5.8 | 958 | 11,957 | 50.0% | 25.0% | |
| 50.00% | 18 | 4.7 | 891 | 12,554 | 75.0% | 42.9% | |
| 66.67% | 18 | 5.3 | 1,054 | 14,305 | 83.3% | 58.3% | |
| 41.18% | 17 | 6.4 | 1,078 | 11,189 | 37.5% | 44.4% | |
| 41.18% | 17 | 2.7 | 900 | 11,297 | 20.0% | 50.0% | |
| 47.06% | 17 | 5.1 | 1,015 | 12,758 | 60.0% | 41.7% | |
| 58.82% | 17 | 3.7 | 1,125 | 12,661 | 40.0% | 66.7% | |
| 58.82% | 17 | 6.0 | 944 | 10,644 | 70.0% | 42.9% | |
| 62.50% | 16 | 6.1 | 917 | 12,486 | 50.0% | 75.0% | |
| 43.75% | 16 | 5.6 | 1,054 | 11,764 | 57.1% | 33.3% | |
| 46.67% | 15 | 7.0 | 752 | 10,816 | 42.9% | 50.0% | |
| 50.00% | 14 | 6.2 | 1,001 | 11,318 | 50.0% | 50.0% | |
| 35.71% | 14 | 1.9 | 873 | 10,378 | 0.0% | 50.0% | |
| 28.57% | 14 | 4.8 | 961 | 11,292 | 0.0% | 50.0% | |
| 50.00% | 14 | 1.7 | 937 | 11,059 | 100.0% | 36.4% | |
| 76.92% | 13 | 6.5 | 1,153 | 14,055 | 75.0% | 77.8% | |
| 38.46% | 13 | 1.9 | 802 | 10,214 | 16.7% | 57.1% | |
| 58.33% | 12 | 6.3 | 848 | 10,796 | 66.7% | 50.0% | |
| 58.33% | 12 | 6.3 | 1,118 | 12,802 | 80.0% | 42.9% | |
| 41.67% | 12 | 1.7 | 916 | 9,736 | 25.0% | 50.0% | |
| 66.67% | 12 | 5.7 | 1,021 | 11,447 | 71.4% | 60.0% | |
| 81.82% | 11 | 1.4 | 587 | 6,839 | 85.7% | 75.0% | |
| 63.64% | 11 | 1.8 | 872 | 9,507 | 50.0% | 80.0% | |
| 36.36% | 11 | 2.0 | 874 | 10,979 | 0.0% | 44.4% | |
| 63.64% | 11 | 5.2 | 985 | 9,335 | 71.4% | 50.0% | |
| 54.55% | 11 | 5.8 | 828 | 12,194 | 50.0% | 60.0% | |
| 63.64% | 11 | 1.8 | 748 | 10,023 | 100.0% | 50.0% | |
| 70.00% | 10 | 1.7 | 829 | 10,668 | 50.0% | 83.3% | |
| 60.00% | 10 | 6.2 | 1,169 | 14,770 | 100.0% | 55.6% | |
| 50.00% | 10 | 6.3 | 1,250 | 13,484 | 50.0% | 50.0% | |
| 50.00% | 10 | 5.4 | 886 | 11,699 | 0.0% | 62.5% | |
| 50.00% | 10 | 4.7 | 976 | 12,015 | 33.3% | 57.1% | |
| 50.00% | 10 | 4.6 | 1,045 | 12,639 | 66.7% | 42.9% | |
| 60.00% | 10 | 5.1 | 986 | 10,329 | 75.0% | 50.0% | |
| 66.67% | 9 | 1.7 | 784 | 9,883 | 75.0% | 60.0% | |
| 62.50% | 8 | 3.6 | 1,073 | 11,702 | 100.0% | 50.0% | |
| 25.00% | 8 | 2.0 | 854 | 9,385 | 0.0% | 66.7% | |
| 62.50% | 8 | 5.4 | 1,238 | 13,269 | 50.0% | 66.7% | |
| 62.50% | 8 | 5.2 | 1,113 | 13,954 | 100.0% | 50.0% | |
| 62.50% | 8 | 6.3 | 1,038 | 10,785 | 80.0% | 33.3% | |
| 57.14% | 7 | 6.6 | 994 | 12,452 | 0.0% | 80.0% | |
| 57.14% | 7 | 4.2 | 1,450 | 9,523 | 100.0% | 25.0% | |
| 28.57% | 7 | 5.3 | 910 | 11,178 | 50.0% | 20.0% | |
| 28.57% | 7 | 5.3 | 740 | 9,222 | 40.0% | 0.0% | |
| 57.14% | 7 | 4.7 | 1,026 | 11,462 | 50.0% | 60.0% | |
| 71.43% | 7 | 3.0 | 888 | 11,192 | 0.0% | 100.0% | |
| 100.00% | 6 | 5.2 | 1,185 | 13,845 | 100.0% | 100.0% | |
| 66.67% | 6 | 5.1 | 1,166 | 12,620 | 50.0% | 75.0% | |
| 50.00% | 6 | 5.2 | 1,053 | 13,741 | 100.0% | 40.0% | |
| 50.00% | 6 | 3.7 | 915 | 9,008 | 40.0% | 100.0% | |
| 66.67% | 6 | 2.2 | 837 | 7,497 | 60.0% | 100.0% | |
| 66.67% | 6 | 2.4 | 855 | 10,390 | 100.0% | 50.0% | |
| 66.67% | 6 | 5.2 | 921 | 14,435 | 100.0% | 60.0% | |
| 80.00% | 5 | 6.8 | 982 | 14,282 | 100.0% | 75.0% | |
| 60.00% | 5 | 1.5 | 989 | 9,175 | 100.0% | 33.3% | |
| 60.00% | 5 | 1.8 | 867 | 10,469 | 100.0% | 33.3% | |
| 100.00% | 5 | 6.0 | 850 | 12,569 | 100.0% | 100.0% | |
| 20.00% | 5 | 0.9 | 713 | 9,831 | 33.3% | 0.0% | |
| 80.00% | 5 | 6.8 | 1,046 | 14,186 | 100.0% | 66.7% | |
| 20.00% | 5 | 5.5 | 858 | 12,371 | 0.0% | 25.0% | |
| 60.00% | 5 | 5.7 | 848 | 12,547 | 100.0% | 50.0% | |
| 40.00% | 5 | 1.6 | 959 | 13,136 | 100.0% | 0.0% | |
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Matchupy Brand - Czesto zadawane pytania
Jakie sa najlepsze matchupy Brand w League of Legends?
Najlepsze matchupy Brand w patchu 26.12 to Senna, Lux, and Seraphine. 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 Graves, Naafiri, and Taric. 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 Senna, Lux, and Seraphine w patchu 26.12. 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?
Graves, Naafiri, and Taric kontruja Brand na linii w patchu 26.12. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Brand. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.