GarenMatchupy
Dane matchupów Garen dla League of Legends patch 26.10. 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 26.10 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 |
|---|---|---|---|---|---|---|---|
| 45.13% | 554 | 6.7 | 631 | 12,342 | 43.0% | 46.6% | |
| 51.94% | 489 | 6.6 | 780 | 12,196 | 49.7% | 53.3% | |
| 53.45% | 464 | 6.6 | 762 | 11,771 | 53.7% | 53.2% | |
| 49.14% | 405 | 6.7 | 871 | 12,587 | 56.1% | 44.0% | |
| 52.82% | 337 | 7.2 | 724 | 12,576 | 52.3% | 53.2% | |
| 46.37% | 317 | 7.1 | 683 | 12,282 | 53.2% | 40.9% | |
| 59.20% | 299 | 7.2 | 983 | 12,942 | 66.1% | 54.1% | |
| 44.91% | 285 | 7.1 | 776 | 12,239 | 41.2% | 48.0% | |
| 51.17% | 256 | 7.1 | 842 | 12,253 | 55.6% | 47.5% | |
| 60.00% | 255 | 7.1 | 881 | 13,006 | 62.6% | 58.1% | |
| 46.03% | 252 | 6.7 | 857 | 12,559 | 43.7% | 47.6% | |
| 50.20% | 251 | 6.8 | 824 | 11,489 | 43.6% | 56.8% | |
| 50.42% | 240 | 7.0 | 807 | 12,546 | 51.4% | 49.6% | |
| 49.16% | 238 | 7.2 | 1,124 | 12,472 | 54.5% | 44.5% | |
| 57.66% | 222 | 7.3 | 994 | 13,587 | 55.4% | 58.8% | |
| 55.17% | 203 | 6.9 | 924 | 12,523 | 59.8% | 50.9% | |
| 49.24% | 197 | 7.3 | 837 | 13,192 | 45.8% | 51.2% | |
| 52.58% | 194 | 7.3 | 824 | 12,847 | 61.4% | 45.3% | |
| 50.00% | 192 | 6.9 | 805 | 12,123 | 53.9% | 46.6% | |
| 52.36% | 191 | 6.9 | 768 | 13,273 | 54.0% | 51.3% | |
| 53.68% | 190 | 7.3 | 941 | 13,231 | 62.7% | 47.8% | |
| 45.79% | 190 | 6.8 | 770 | 12,249 | 41.4% | 49.5% | |
| 46.56% | 189 | 6.9 | 737 | 12,565 | 43.8% | 48.3% | |
| 51.87% | 187 | 7.3 | 860 | 12,657 | 46.9% | 57.1% | |
| 53.29% | 167 | 6.2 | 607 | 11,706 | 52.2% | 54.0% | |
| 53.99% | 163 | 7.7 | 874 | 13,475 | 62.5% | 47.3% | |
| 51.85% | 162 | 6.9 | 850 | 13,039 | 46.4% | 55.9% | |
| 59.01% | 161 | 7.3 | 848 | 13,432 | 62.0% | 56.1% | |
| 52.53% | 158 | 6.6 | 978 | 12,624 | 56.5% | 50.0% | |
| 53.15% | 143 | 6.8 | 700 | 11,564 | 46.4% | 59.5% | |
| 43.41% | 129 | 6.2 | 695 | 11,268 | 40.3% | 46.3% | |
| 53.13% | 128 | 7.0 | 888 | 12,194 | 56.4% | 50.7% | |
| 56.00% | 125 | 6.9 | 944 | 12,567 | 60.0% | 52.9% | |
| 51.20% | 125 | 6.8 | 784 | 12,413 | 50.0% | 52.1% | |
| 53.45% | 116 | 7.1 | 805 | 12,612 | 52.0% | 54.5% | |
| 48.21% | 112 | 7.1 | 885 | 13,196 | 50.0% | 47.2% | |
| 60.36% | 111 | 6.7 | 695 | 12,507 | 54.5% | 64.2% | |
| 52.00% | 100 | 6.3 | 621 | 11,897 | 45.5% | 57.1% | |
| 60.00% | 100 | 6.8 | 783 | 12,737 | 67.5% | 55.0% | |
| 45.92% | 98 | 7.0 | 906 | 13,555 | 48.6% | 44.3% | |
| 43.62% | 94 | 6.4 | 863 | 12,140 | 39.0% | 47.2% | |
| 55.06% | 89 | 6.7 | 958 | 13,221 | 55.3% | 54.9% | |
| 55.95% | 84 | 7.0 | 867 | 11,479 | 55.3% | 56.8% | |
| 55.42% | 83 | 7.0 | 841 | 12,555 | 66.7% | 48.0% | |
| 45.57% | 79 | 6.1 | 875 | 13,618 | 38.7% | 50.0% | |
| 49.33% | 75 | 7.2 | 699 | 12,514 | 48.4% | 50.0% | |
| 58.90% | 73 | 6.6 | 731 | 13,073 | 43.5% | 66.0% | |
| 61.19% | 67 | 6.9 | 1,024 | 13,529 | 60.0% | 61.9% | |
| 63.49% | 63 | 7.1 | 670 | 12,703 | 63.0% | 63.9% | |
| 53.45% | 58 | 7.1 | 828 | 13,018 | 57.9% | 51.3% | |
| 66.07% | 56 | 6.7 | 804 | 13,538 | 77.3% | 58.8% | |
| 37.25% | 51 | 6.8 | 696 | 11,526 | 45.8% | 29.6% | |
| 48.00% | 50 | 7.1 | 907 | 12,967 | 44.4% | 50.0% | |
| 48.98% | 49 | 6.5 | 645 | 12,787 | 45.0% | 51.7% | |
| 50.00% | 48 | 6.7 | 736 | 12,371 | 37.5% | 62.5% | |
| 55.81% | 43 | 6.8 | 750 | 12,366 | 45.0% | 65.2% | |
| 39.02% | 41 | 6.9 | 616 | 12,235 | 47.4% | 31.8% | |
| 40.00% | 40 | 6.7 | 632 | 11,886 | 47.1% | 34.8% | |
| 50.00% | 40 | 6.2 | 720 | 13,063 | 61.5% | 44.4% | |
| 54.05% | 37 | 7.7 | 732 | 13,063 | 58.8% | 50.0% | |
| 62.86% | 35 | 6.5 | 888 | 12,810 | 57.1% | 66.7% | |
| 62.86% | 35 | 7.0 | 900 | 14,286 | 53.9% | 68.2% | |
| 43.75% | 32 | 4.5 | 841 | 13,902 | 30.0% | 50.0% | |
| 61.29% | 31 | 7.4 | 1,009 | 13,893 | 66.7% | 57.9% | |
| 46.67% | 30 | 6.8 | 818 | 11,477 | 46.7% | 46.7% | |
| 50.00% | 30 | 7.1 | 921 | 13,695 | 50.0% | 50.0% | |
| 50.00% | 28 | 6.1 | 621 | 12,638 | 53.3% | 46.1% | |
| 64.00% | 25 | 6.5 | 727 | 13,154 | 66.7% | 62.5% | |
| 56.00% | 25 | 7.3 | 874 | 13,333 | 66.7% | 46.1% | |
| 34.78% | 23 | 6.9 | 522 | 11,051 | 20.0% | 46.1% | |
| 31.82% | 22 | 7.1 | 679 | 12,288 | 20.0% | 41.7% | |
| 45.45% | 22 | 5.7 | 806 | 13,225 | 45.5% | 45.5% | |
| 33.33% | 21 | 6.7 | 698 | 11,972 | 22.2% | 41.7% | |
| 30.00% | 20 | 6.5 | 712 | 13,964 | 37.5% | 25.0% | |
| 60.00% | 20 | 7.1 | 676 | 11,508 | 72.7% | 44.4% | |
| 63.16% | 19 | 6.4 | 743 | 11,535 | 60.0% | 66.7% | |
| 27.78% | 18 | 6.7 | 532 | 10,659 | 27.3% | 28.6% | |
| 55.56% | 18 | 7.3 | 637 | 13,449 | 75.0% | 50.0% | |
| 33.33% | 18 | 6.6 | 684 | 11,771 | 33.3% | 33.3% | |
| 55.56% | 18 | 5.5 | 837 | 12,030 | 37.5% | 70.0% | |
| 64.71% | 17 | 7.6 | 813 | 12,605 | 44.4% | 87.5% | |
| 58.82% | 17 | 7.5 | 1,054 | 12,587 | 42.9% | 70.0% | |
| 29.41% | 17 | 5.7 | 525 | 9,878 | 14.3% | 40.0% | |
| 50.00% | 16 | 5.0 | 767 | 12,431 | 71.4% | 33.3% | |
| 50.00% | 16 | 3.4 | 707 | 12,485 | 50.0% | 50.0% | |
| 50.00% | 16 | 7.7 | 700 | 14,095 | 87.5% | 12.5% | |
| 66.67% | 15 | 5.1 | 620 | 11,083 | 66.7% | 66.7% | |
| 40.00% | 15 | 7.0 | 516 | 9,014 | 45.5% | 25.0% | |
| 57.14% | 14 | 7.0 | 708 | 13,024 | 60.0% | 55.6% | |
| 50.00% | 14 | 6.0 | 629 | 11,303 | 60.0% | 44.4% | |
| 64.29% | 14 | 6.4 | 805 | 12,543 | 85.7% | 42.9% | |
| 61.54% | 13 | 4.0 | 523 | 10,685 | 50.0% | 80.0% | |
| 33.33% | 12 | 4.5 | 702 | 12,865 | 20.0% | 42.9% | |
| 75.00% | 12 | 5.7 | 872 | 14,879 | 66.7% | 77.8% | |
| 58.33% | 12 | 5.7 | 651 | 10,790 | 57.1% | 60.0% | |
| 41.67% | 12 | 5.3 | 825 | 13,358 | 50.0% | 37.5% | |
| 27.27% | 11 | 6.0 | 501 | 11,565 | 16.7% | 40.0% | |
| 54.55% | 11 | 6.4 | 787 | 13,093 | 50.0% | 57.1% | |
| 54.55% | 11 | 6.8 | 943 | 15,288 | 33.3% | 62.5% | |
| 0.00% | 11 | 6.6 | 600 | 9,487 | 0.0% | 0.0% | |
| 60.00% | 10 | 6.7 | 911 | 12,251 | 50.0% | 66.7% | |
| 100.00% | 9 | 7.6 | 1,048 | 14,198 | 100.0% | 100.0% | |
| 33.33% | 9 | 6.6 | 1,070 | 13,124 | 0.0% | 60.0% | |
| 55.56% | 9 | 6.8 | 756 | 12,397 | 40.0% | 75.0% | |
| 44.44% | 9 | 7.2 | 711 | 10,990 | 60.0% | 25.0% | |
| 55.56% | 9 | 5.9 | 588 | 10,599 | 25.0% | 80.0% | |
| 44.44% | 9 | 5.3 | 622 | 11,772 | 0.0% | 66.7% | |
| 75.00% | 8 | 6.9 | 542 | 9,643 | 66.7% | 100.0% | |
| 62.50% | 8 | 7.6 | 743 | 13,159 | 80.0% | 33.3% | |
| 50.00% | 8 | 5.7 | 617 | 14,486 | 0.0% | 100.0% | |
| 50.00% | 8 | 7.6 | 645 | 11,383 | 40.0% | 66.7% | |
| 87.50% | 8 | 8.2 | 928 | 14,029 | 80.0% | 100.0% | |
| 37.50% | 8 | 7.2 | 796 | 11,868 | 20.0% | 66.7% | |
| 57.14% | 7 | 6.2 | 756 | 11,942 | 66.7% | 50.0% | |
| 42.86% | 7 | 3.1 | 560 | 13,694 | 100.0% | 33.3% | |
| 71.43% | 7 | 6.3 | 910 | 15,269 | 0.0% | 83.3% | |
| 57.14% | 7 | 6.0 | 821 | 12,611 | 50.0% | 60.0% | |
| 57.14% | 7 | 5.7 | 553 | 12,109 | 100.0% | 25.0% | |
| 71.43% | 7 | 7.0 | 585 | 9,567 | 60.0% | 100.0% | |
| 50.00% | 6 | 6.5 | 617 | 9,857 | 66.7% | 33.3% | |
| 50.00% | 6 | 6.8 | 650 | 11,660 | 60.0% | 0.0% | |
| 33.33% | 6 | 4.9 | 628 | 17,011 | 0.0% | 33.3% | |
| 66.67% | 6 | 6.7 | 697 | 9,783 | 50.0% | 100.0% | |
| 40.00% | 5 | 4.5 | 490 | 11,867 | 50.0% | 33.3% | |
| 80.00% | 5 | 8.0 | 788 | 15,531 | 100.0% | 75.0% | |
| 60.00% | 5 | 6.0 | 788 | 15,440 | 0.0% | 60.0% | |
| 60.00% | 5 | 7.0 | 1,003 | 15,720 | 100.0% | 0.0% | |
| 60.00% | 5 | 6.5 | 648 | 12,551 | 60.0% | 0.0% | |
| 40.00% | 5 | 6.4 | 750 | 11,939 | 50.0% | 33.3% | |
| 60.00% | 5 | 2.6 | 565 | 10,748 | 50.0% | 100.0% | |
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 26.10 to Teemo, Mordekaiser, and Darius. 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 Akshan, Vel'Koz, and Ahri. 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 Teemo, Mordekaiser, and Darius w patchu 26.10. 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?
Akshan, Vel'Koz, and Ahri kontruja Garen na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Garen. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.