GarenMatchupy
Dane matchupów Garen dla League of Legends patch 26.7. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Garen. Dowiedz się kogo Garen pokonuje i komu przegrywa na linii.
Garen Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Garen 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 Garen dla patcha 26.7 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Garen, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Garen, 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 |
|---|---|---|---|---|---|---|---|
| 47.09% | 378 | 6.5 | 815 | 12,433 | 42.3% | 51.0% | |
| 50.97% | 361 | 6.8 | 810 | 12,303 | 50.9% | 51.0% | |
| 50.46% | 327 | 7.0 | 902 | 12,581 | 51.5% | 49.4% | |
| 39.77% | 264 | 7.1 | 706 | 12,978 | 44.0% | 36.8% | |
| 51.20% | 250 | 6.4 | 675 | 12,357 | 52.5% | 50.3% | |
| 54.05% | 222 | 7.3 | 1,025 | 12,987 | 52.6% | 55.1% | |
| 50.74% | 203 | 7.1 | 891 | 13,519 | 59.5% | 44.5% | |
| 46.31% | 203 | 7.1 | 800 | 12,463 | 40.6% | 52.0% | |
| 53.61% | 194 | 7.2 | 962 | 13,245 | 48.8% | 57.3% | |
| 57.98% | 188 | 7.2 | 873 | 12,685 | 57.0% | 58.8% | |
| 58.92% | 185 | 7.1 | 929 | 12,953 | 57.0% | 60.4% | |
| 48.33% | 180 | 6.9 | 855 | 12,626 | 50.6% | 46.4% | |
| 54.19% | 179 | 7.2 | 792 | 12,943 | 60.7% | 48.4% | |
| 55.87% | 179 | 7.3 | 1,230 | 13,868 | 56.2% | 55.7% | |
| 46.51% | 172 | 7.4 | 888 | 13,117 | 50.8% | 43.8% | |
| 50.00% | 172 | 7.2 | 788 | 13,615 | 50.0% | 50.0% | |
| 48.75% | 160 | 7.5 | 1,008 | 13,376 | 55.8% | 42.2% | |
| 55.63% | 160 | 7.1 | 897 | 12,615 | 61.3% | 50.0% | |
| 54.37% | 160 | 6.7 | 882 | 12,695 | 50.7% | 57.5% | |
| 54.84% | 155 | 6.8 | 827 | 12,872 | 55.7% | 54.1% | |
| 41.61% | 149 | 6.4 | 639 | 12,286 | 48.4% | 36.5% | |
| 55.41% | 148 | 7.3 | 862 | 13,627 | 67.7% | 46.5% | |
| 49.31% | 144 | 6.7 | 776 | 12,579 | 41.3% | 55.6% | |
| 51.08% | 139 | 7.2 | 827 | 12,661 | 42.4% | 58.9% | |
| 57.81% | 128 | 7.2 | 818 | 13,527 | 65.5% | 52.0% | |
| 54.33% | 127 | 7.1 | 915 | 12,822 | 58.5% | 51.4% | |
| 52.80% | 125 | 7.0 | 845 | 12,192 | 56.3% | 49.2% | |
| 48.76% | 121 | 7.4 | 914 | 13,175 | 56.7% | 38.9% | |
| 43.33% | 120 | 6.8 | 1,009 | 13,161 | 51.0% | 38.0% | |
| 37.29% | 118 | 6.8 | 689 | 12,052 | 33.3% | 40.3% | |
| 41.59% | 113 | 6.4 | 738 | 12,995 | 40.4% | 42.6% | |
| 53.10% | 113 | 7.2 | 822 | 12,723 | 56.9% | 49.1% | |
| 55.86% | 111 | 7.7 | 977 | 14,571 | 52.6% | 57.5% | |
| 60.19% | 103 | 7.3 | 915 | 13,701 | 60.0% | 60.4% | |
| 53.92% | 102 | 6.8 | 836 | 12,549 | 57.5% | 50.9% | |
| 55.79% | 95 | 7.3 | 946 | 13,811 | 59.5% | 53.5% | |
| 53.01% | 83 | 7.4 | 856 | 12,767 | 51.2% | 54.8% | |
| 57.50% | 80 | 7.2 | 959 | 13,758 | 44.4% | 68.2% | |
| 40.51% | 79 | 6.6 | 596 | 11,966 | 47.5% | 33.3% | |
| 57.33% | 75 | 6.7 | 781 | 12,271 | 55.6% | 59.0% | |
| 54.93% | 71 | 6.7 | 847 | 14,075 | 56.7% | 53.7% | |
| 64.29% | 70 | 6.7 | 745 | 12,936 | 57.6% | 70.3% | |
| 53.73% | 67 | 6.9 | 1,029 | 13,177 | 44.4% | 60.0% | |
| 51.67% | 60 | 7.2 | 777 | 14,296 | 56.5% | 48.6% | |
| 53.57% | 56 | 5.6 | 824 | 12,211 | 62.9% | 38.1% | |
| 41.51% | 53 | 7.0 | 796 | 13,207 | 50.0% | 34.5% | |
| 51.92% | 52 | 7.3 | 911 | 13,685 | 61.9% | 45.2% | |
| 53.85% | 52 | 7.1 | 797 | 12,714 | 48.1% | 60.0% | |
| 43.18% | 44 | 6.5 | 823 | 14,249 | 37.5% | 46.4% | |
| 47.73% | 44 | 6.7 | 891 | 12,761 | 55.0% | 41.7% | |
| 41.46% | 41 | 6.5 | 681 | 12,861 | 28.6% | 48.1% | |
| 48.65% | 37 | 6.0 | 881 | 13,139 | 55.0% | 41.2% | |
| 54.05% | 37 | 6.5 | 892 | 13,347 | 53.3% | 54.5% | |
| 64.52% | 31 | 7.0 | 780 | 12,311 | 61.1% | 69.2% | |
| 53.33% | 30 | 6.3 | 648 | 11,690 | 57.1% | 50.0% | |
| 58.62% | 29 | 6.2 | 721 | 13,450 | 22.2% | 75.0% | |
| 60.71% | 28 | 7.1 | 773 | 12,473 | 58.3% | 62.5% | |
| 37.04% | 27 | 4.8 | 818 | 13,682 | 54.5% | 25.0% | |
| 65.38% | 26 | 6.8 | 694 | 12,466 | 63.6% | 66.7% | |
| 42.31% | 26 | 7.3 | 813 | 13,166 | 30.0% | 50.0% | |
| 60.00% | 25 | 6.5 | 800 | 12,903 | 60.0% | 60.0% | |
| 73.91% | 23 | 7.3 | 894 | 14,921 | 75.0% | 73.3% | |
| 36.36% | 22 | 5.6 | 939 | 14,955 | 28.6% | 40.0% | |
| 45.45% | 22 | 7.0 | 961 | 14,721 | 50.0% | 42.9% | |
| 55.00% | 20 | 6.2 | 801 | 13,971 | 50.0% | 56.3% | |
| 50.00% | 20 | 3.9 | 768 | 13,046 | 22.2% | 72.7% | |
| 63.16% | 19 | 6.3 | 791 | 14,552 | 87.5% | 45.5% | |
| 57.89% | 19 | 5.4 | 799 | 13,181 | 66.7% | 53.9% | |
| 50.00% | 18 | 7.8 | 782 | 12,541 | 62.5% | 40.0% | |
| 55.56% | 18 | 7.3 | 765 | 12,759 | 60.0% | 50.0% | |
| 55.56% | 18 | 6.8 | 709 | 12,836 | 40.0% | 75.0% | |
| 66.67% | 18 | 7.1 | 737 | 13,178 | 50.0% | 75.0% | |
| 38.89% | 18 | 7.2 | 871 | 12,838 | 28.6% | 45.5% | |
| 47.06% | 17 | 6.9 | 818 | 13,935 | 80.0% | 33.3% | |
| 29.41% | 17 | 6.6 | 802 | 12,288 | 42.9% | 20.0% | |
| 17.65% | 17 | 6.2 | 537 | 10,158 | 30.0% | 0.0% | |
| 50.00% | 16 | 7.6 | 954 | 12,358 | 44.4% | 57.1% | |
| 31.25% | 16 | 5.8 | 610 | 13,670 | 50.0% | 28.6% | |
| 50.00% | 16 | 7.0 | 733 | 13,458 | 50.0% | 50.0% | |
| 37.50% | 16 | 7.7 | 909 | 13,480 | 37.5% | 37.5% | |
| 40.00% | 15 | 3.9 | 905 | 15,721 | 0.0% | 54.5% | |
| 80.00% | 15 | 6.2 | 857 | 15,338 | 85.7% | 75.0% | |
| 53.33% | 15 | 7.0 | 779 | 14,008 | 66.7% | 44.4% | |
| 50.00% | 14 | 7.1 | 680 | 12,640 | 50.0% | 50.0% | |
| 42.86% | 14 | 6.5 | 781 | 11,620 | 33.3% | 50.0% | |
| 57.14% | 14 | 5.9 | 750 | 12,943 | 55.6% | 60.0% | |
| 53.85% | 13 | 6.1 | 843 | 13,929 | 50.0% | 57.1% | |
| 33.33% | 12 | 5.2 | 769 | 12,046 | 16.7% | 50.0% | |
| 58.33% | 12 | 7.1 | 981 | 13,677 | 75.0% | 50.0% | |
| 58.33% | 12 | 6.0 | 653 | 10,831 | 71.4% | 40.0% | |
| 36.36% | 11 | 6.6 | 848 | 15,518 | 0.0% | 44.4% | |
| 54.55% | 11 | 3.3 | 748 | 12,536 | 66.7% | 50.0% | |
| 45.45% | 11 | 5.5 | 864 | 13,780 | 60.0% | 33.3% | |
| 81.82% | 11 | 6.3 | 722 | 12,817 | 66.7% | 87.5% | |
| 27.27% | 11 | 4.4 | 599 | 9,352 | 40.0% | 16.7% | |
| 27.27% | 11 | 6.4 | 826 | 13,712 | 0.0% | 42.9% | |
| 20.00% | 10 | 6.9 | 754 | 13,085 | 25.0% | 16.7% | |
| 40.00% | 10 | 6.3 | 706 | 12,355 | 20.0% | 60.0% | |
| 44.44% | 9 | 5.9 | 876 | 11,462 | 40.0% | 50.0% | |
| 33.33% | 9 | 6.5 | 653 | 13,595 | 0.0% | 50.0% | |
| 66.67% | 9 | 5.0 | 783 | 13,747 | 75.0% | 60.0% | |
| 55.56% | 9 | 4.9 | 640 | 10,116 | 20.0% | 100.0% | |
| 25.00% | 8 | 7.7 | 861 | 10,715 | 40.0% | 0.0% | |
| 75.00% | 8 | 7.1 | 926 | 14,590 | 100.0% | 66.7% | |
| 50.00% | 8 | 7.8 | 1,181 | 14,236 | 80.0% | 0.0% | |
| 37.50% | 8 | 5.0 | 514 | 11,104 | 33.3% | 40.0% | |
| 75.00% | 8 | 5.7 | 520 | 10,737 | 71.4% | 100.0% | |
| 62.50% | 8 | 6.4 | 661 | 12,222 | 60.0% | 66.7% | |
| 62.50% | 8 | 7.1 | 866 | 14,691 | 50.0% | 66.7% | |
| 75.00% | 8 | 6.7 | 715 | 11,474 | 83.3% | 50.0% | |
| 71.43% | 7 | 7.7 | 789 | 14,404 | 100.0% | 50.0% | |
| 57.14% | 7 | 2.3 | 561 | 14,981 | 100.0% | 40.0% | |
| 57.14% | 7 | 3.0 | 435 | 11,428 | 50.0% | 60.0% | |
| 71.43% | 7 | 7.4 | 755 | 11,896 | 60.0% | 100.0% | |
| 57.14% | 7 | 7.4 | 635 | 10,117 | 75.0% | 33.3% | |
| 50.00% | 6 | 5.7 | 567 | 11,490 | 50.0% | 50.0% | |
| 16.67% | 6 | 6.5 | 1,013 | 18,173 | 0.0% | 16.7% | |
| 16.67% | 6 | 6.1 | 630 | 12,413 | 0.0% | 33.3% | |
| 50.00% | 6 | 4.5 | 509 | 11,659 | 100.0% | 0.0% | |
| 16.67% | 6 | 5.3 | 564 | 11,795 | 50.0% | 0.0% | |
| 50.00% | 6 | 7.5 | 673 | 12,515 | 66.7% | 33.3% | |
| 33.33% | 6 | 6.6 | 601 | 13,048 | 66.7% | 0.0% | |
| 66.67% | 6 | 7.4 | 547 | 12,030 | 75.0% | 50.0% | |
| 40.00% | 5 | 6.9 | 869 | 12,084 | 33.3% | 50.0% | |
| 60.00% | 5 | 4.2 | 773 | 12,155 | 66.7% | 50.0% | |
| 60.00% | 5 | 6.9 | 715 | 13,071 | 66.7% | 50.0% | |
| 40.00% | 5 | 5.8 | 744 | 14,062 | 0.0% | 50.0% | |
| 40.00% | 5 | 4.8 | 495 | 10,237 | 33.3% | 50.0% | |
| 80.00% | 5 | 3.4 | 882 | 15,856 | 100.0% | 75.0% | |
| 60.00% | 5 | 6.5 | 551 | 12,264 | 50.0% | 66.7% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Garen - Czesto zadawane pytania
Jakie sa najlepsze matchupy Garen w League of Legends?
Najlepsze matchupy Garen w patchu 26.7 to Mordekaiser, Darius, and Sett. Garen 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 Garen?
Najgorsze matchupy Garen to Kai'Sa, Zilean, and Miss Fortune. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Garen i moga wykorzystac slabosci Garen na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Garen?
Mozesz sprawdzic dane matchupow Garen 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 Garen.
Kogo kontruje Garen w League of Legends?
Garen kontruje Mordekaiser, Darius, and Sett w patchu 26.7. To sa najbardziej korzystne matchupy Garen, gdzie Garen ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Garen w szczegolach.
Kto kontruje Garen na linii?
Kai'Sa, Zilean, and Miss Fortune kontruja Garen na linii w patchu 26.7. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Garen. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.