GwenMatchupy
Dane matchupów Gwen dla League of Legends patch 26.7. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Gwen. Dowiedz się kogo Gwen pokonuje i komu przegrywa na linii.
Gwen Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Gwen 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 Gwen dla patcha 26.7 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Gwen, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Gwen, 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 |
|---|---|---|---|---|---|---|---|
| 44.21% | 95 | 6.5 | 867 | 12,060 | 40.5% | 46.5% | |
| 59.15% | 71 | 5.1 | 1,143 | 12,100 | 60.5% | 57.6% | |
| 59.09% | 66 | 6.1 | 973 | 13,428 | 73.1% | 50.0% | |
| 40.74% | 54 | 5.9 | 1,046 | 11,801 | 37.9% | 44.0% | |
| 48.08% | 52 | 6.0 | 909 | 12,587 | 41.4% | 56.5% | |
| 50.00% | 48 | 5.6 | 836 | 12,118 | 45.8% | 54.2% | |
| 42.55% | 47 | 6.9 | 1,178 | 12,818 | 36.8% | 46.4% | |
| 45.00% | 40 | 2.6 | 824 | 13,409 | 40.0% | 48.0% | |
| 47.37% | 38 | 7.0 | 938 | 12,831 | 43.8% | 50.0% | |
| 51.35% | 37 | 2.3 | 727 | 13,304 | 50.0% | 52.4% | |
| 34.29% | 35 | 6.7 | 872 | 11,928 | 50.0% | 23.8% | |
| 47.06% | 34 | 7.0 | 887 | 11,832 | 47.4% | 46.7% | |
| 38.24% | 34 | 1.1 | 653 | 12,135 | 35.0% | 42.9% | |
| 47.06% | 34 | 1.4 | 756 | 13,398 | 42.9% | 50.0% | |
| 60.61% | 33 | 5.5 | 859 | 13,513 | 53.9% | 65.0% | |
| 69.70% | 33 | 1.4 | 999 | 14,922 | 76.9% | 65.0% | |
| 53.13% | 32 | 6.3 | 758 | 10,513 | 50.0% | 57.1% | |
| 46.88% | 32 | 6.1 | 974 | 12,823 | 41.7% | 50.0% | |
| 28.13% | 32 | 1.6 | 727 | 13,529 | 6.3% | 50.0% | |
| 38.71% | 31 | 6.4 | 786 | 12,827 | 35.3% | 42.9% | |
| 50.00% | 30 | 6.2 | 910 | 13,082 | 45.5% | 52.6% | |
| 43.33% | 30 | 2.5 | 850 | 13,594 | 16.7% | 61.1% | |
| 50.00% | 30 | 6.4 | 922 | 12,539 | 72.7% | 36.8% | |
| 48.28% | 29 | 5.2 | 1,035 | 12,265 | 25.0% | 64.7% | |
| 60.71% | 28 | 6.4 | 814 | 10,893 | 83.3% | 43.8% | |
| 40.74% | 27 | 5.6 | 879 | 12,258 | 41.7% | 40.0% | |
| 38.46% | 26 | 5.4 | 877 | 10,812 | 33.3% | 42.9% | |
| 50.00% | 26 | 1.1 | 807 | 12,937 | 33.3% | 64.3% | |
| 40.00% | 25 | 4.8 | 717 | 10,213 | 30.8% | 50.0% | |
| 60.00% | 25 | 6.8 | 1,121 | 12,476 | 63.6% | 57.1% | |
| 58.33% | 24 | 6.3 | 764 | 12,140 | 55.6% | 60.0% | |
| 59.09% | 22 | 1.3 | 922 | 14,693 | 50.0% | 70.0% | |
| 36.36% | 22 | 1.4 | 801 | 12,119 | 45.5% | 27.3% | |
| 45.45% | 22 | 5.0 | 884 | 13,675 | 33.3% | 60.0% | |
| 42.86% | 21 | 2.5 | 692 | 12,940 | 70.0% | 18.2% | |
| 60.00% | 20 | 6.7 | 714 | 11,345 | 64.3% | 50.0% | |
| 50.00% | 20 | 6.5 | 962 | 12,430 | 33.3% | 63.6% | |
| 26.32% | 19 | 6.9 | 925 | 14,537 | 14.3% | 33.3% | |
| 47.37% | 19 | 6.9 | 841 | 12,283 | 41.7% | 57.1% | |
| 27.78% | 18 | 6.4 | 776 | 11,893 | 10.0% | 50.0% | |
| 55.56% | 18 | 6.9 | 746 | 11,116 | 66.7% | 44.4% | |
| 47.06% | 17 | 6.8 | 880 | 11,655 | 28.6% | 60.0% | |
| 18.75% | 16 | 6.4 | 822 | 12,156 | 28.6% | 11.1% | |
| 43.75% | 16 | 6.2 | 729 | 11,946 | 50.0% | 33.3% | |
| 46.67% | 15 | 3.2 | 915 | 14,292 | 37.5% | 57.1% | |
| 20.00% | 15 | 3.5 | 718 | 12,379 | 28.6% | 12.5% | |
| 26.67% | 15 | 6.1 | 658 | 11,470 | 22.2% | 33.3% | |
| 33.33% | 15 | 6.5 | 610 | 10,573 | 30.0% | 40.0% | |
| 57.14% | 14 | 6.8 | 990 | 12,490 | 16.7% | 87.5% | |
| 35.71% | 14 | 5.8 | 836 | 12,829 | 42.9% | 28.6% | |
| 71.43% | 14 | 5.1 | 783 | 14,090 | 83.3% | 62.5% | |
| 42.86% | 14 | 6.5 | 829 | 12,938 | 60.0% | 33.3% | |
| 35.71% | 14 | 5.8 | 776 | 12,543 | 28.6% | 42.9% | |
| 64.29% | 14 | 3.0 | 809 | 14,100 | 100.0% | 50.0% | |
| 61.54% | 13 | 6.0 | 697 | 11,327 | 71.4% | 50.0% | |
| 53.85% | 13 | 6.9 | 1,015 | 12,150 | 60.0% | 50.0% | |
| 33.33% | 12 | 4.8 | 837 | 11,047 | 40.0% | 28.6% | |
| 83.33% | 12 | 1.2 | 856 | 15,833 | 100.0% | 77.8% | |
| 25.00% | 12 | 1.9 | 743 | 10,989 | 12.5% | 50.0% | |
| 63.64% | 11 | 2.9 | 742 | 11,042 | 83.3% | 40.0% | |
| 72.73% | 11 | 3.4 | 1,061 | 12,508 | 66.7% | 80.0% | |
| 40.00% | 10 | 2.1 | 783 | 11,832 | 60.0% | 20.0% | |
| 22.22% | 9 | 4.0 | 716 | 12,220 | 25.0% | 20.0% | |
| 44.44% | 9 | 1.0 | 740 | 13,171 | 0.0% | 66.7% | |
| 77.78% | 9 | 7.1 | 1,061 | 10,591 | 75.0% | 100.0% | |
| 25.00% | 8 | 3.8 | 803 | 10,686 | 40.0% | 0.0% | |
| 12.50% | 8 | 1.3 | 885 | 12,867 | 0.0% | 14.3% | |
| 50.00% | 8 | 6.5 | 794 | 17,001 | 0.0% | 57.1% | |
| 37.50% | 8 | 1.5 | 604 | 10,152 | 33.3% | 50.0% | |
| 37.50% | 8 | 1.4 | 613 | 10,487 | 25.0% | 50.0% | |
| 62.50% | 8 | 6.6 | 1,071 | 14,890 | 66.7% | 60.0% | |
| 62.50% | 8 | 1.4 | 971 | 15,626 | 66.7% | 60.0% | |
| 57.14% | 7 | 1.2 | 963 | 16,618 | 50.0% | 60.0% | |
| 57.14% | 7 | 3.4 | 859 | 11,533 | 50.0% | 66.7% | |
| 42.86% | 7 | 4.8 | 985 | 15,400 | 50.0% | 33.3% | |
| 85.71% | 7 | 5.1 | 1,025 | 10,282 | 80.0% | 100.0% | |
| 85.71% | 7 | 1.0 | 780 | 12,493 | 100.0% | 75.0% | |
| 57.14% | 7 | 6.5 | 668 | 9,122 | 60.0% | 50.0% | |
| 66.67% | 6 | 3.2 | 702 | 11,107 | 100.0% | 50.0% | |
| 50.00% | 6 | 6.6 | 634 | 13,294 | 66.7% | 33.3% | |
| 66.67% | 6 | 1.2 | 1,068 | 15,626 | 100.0% | 60.0% | |
| 50.00% | 6 | 6.9 | 801 | 12,783 | 66.7% | 33.3% | |
| 33.33% | 6 | 1.6 | 704 | 10,720 | 25.0% | 50.0% | |
| 33.33% | 6 | 6.5 | 763 | 11,603 | 50.0% | 25.0% | |
| 20.00% | 5 | 5.9 | 677 | 11,750 | 50.0% | 0.0% | |
| 60.00% | 5 | 7.8 | 638 | 11,539 | 60.0% | 0.0% | |
| 40.00% | 5 | 0.8 | 635 | 11,830 | 50.0% | 33.3% | |
| 80.00% | 5 | 5.3 | 764 | 13,261 | 100.0% | 50.0% | |
| 80.00% | 5 | 6.9 | 784 | 15,169 | 100.0% | 75.0% | |
| 60.00% | 5 | 4.4 | 1,208 | 14,692 | 50.0% | 66.7% | |
| 80.00% | 5 | 6.6 | 1,044 | 15,242 | 100.0% | 75.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Gwen - Czesto zadawane pytania
Jakie sa najlepsze matchupy Gwen w League of Legends?
Najlepsze matchupy Gwen w patchu 26.7 to Garen, Dr Mundo, and Mordekaiser. Gwen 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 Gwen?
Najgorsze matchupy Gwen to Hecarim, Yone, and Udyr. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Gwen i moga wykorzystac slabosci Gwen na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Gwen?
Mozesz sprawdzic dane matchupow Gwen 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 Gwen.
Kogo kontruje Gwen w League of Legends?
Gwen kontruje Garen, Dr Mundo, and Mordekaiser w patchu 26.7. To sa najbardziej korzystne matchupy Gwen, gdzie Gwen ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Gwen w szczegolach.
Kto kontruje Gwen na linii?
Hecarim, Yone, and Udyr kontruja Gwen na linii w patchu 26.7. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Gwen. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.