Współczynnik wygranych
50.8%
Współczynnik wyboru
3.2%
GwenMatchupy
Patch26.17
Mecze543,090
LiniaWszystkie linie
TierWszystkie tiery
Ostatnia aktualizacja30 sie 2026 UTC
MetodologiaMetodologia danych
AutorDakota Chinnick
Dane matchupów Gwen dla League of Legends patch 26.17. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Gwen. Dowiedz się kogo Gwen pokonuje i komu przegrywa na linii.
Dołącz do naszego Discorda
Zgłaszanie błędów, prośby o funkcje i rozmowy z deweloperami
MetaBot Desktop
Kontrpiki przy wyborze bohatera
Analiza matchupu Gwen
Użyj menu rozwijanego, aby wybrać przeciwnika i zobaczyć szczegółową analizę, jak Gwen 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.
Porównaj z przeciwnikiem
Gwen
VS
?
Przeciwnik
Wybierz przeciwnika do matchupu
Dane matchupow Gwen dla patcha 26.17 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 |
|---|---|---|---|---|---|---|---|
| 51.55% | 97 | 6.5 | 1053 | 12 208 | 55.6% | 46.5% | |
| 48.31% | 89 | 6.7 | 888 | 13 411 | 54.0% | 44.2% | |
| 58.11% | 74 | 6.4 | 903 | 13 787 | 50.0% | 65.0% | |
| 46.58% | 73 | 5.9 | 837 | 11 718 | 42.4% | 50.0% | |
| 53.42% | 73 | 6.1 | 868 | 12 214 | 47.4% | 60.0% | |
| 42.03% | 69 | 6.3 | 868 | 13 103 | 34.8% | 45.6% | |
| 50.72% | 69 | 6.0 | 843 | 11 049 | 52.6% | 48.4% | |
| 54.55% | 66 | 6.5 | 1383 | 12 488 | 54.3% | 54.8% | |
| 38.46% | 65 | 5.7 | 737 | 12 891 | 28.6% | 43.2% | |
| 45.76% | 59 | 4.8 | 1016 | 14 276 | 41.7% | 48.6% | |
| 56.90% | 58 | 6.0 | 725 | 12 142 | 53.6% | 60.0% | |
| 63.16% | 57 | 5.0 | 1117 | 13 278 | 54.2% | 69.7% | |
| 50.00% | 48 | 6.4 | 818 | 13 147 | 40.9% | 57.7% | |
| 60.42% | 48 | 5.3 | 845 | 12 971 | 47.8% | 72.0% | |
| 58.70% | 46 | 1.5 | 856 | 14 431 | 57.1% | 59.4% | |
| 53.33% | 45 | 1.6 | 712 | 12 972 | 52.4% | 54.2% | |
| 38.64% | 44 | 2.2 | 785 | 13 338 | 33.3% | 42.3% | |
| 62.79% | 43 | 6.5 | 1169 | 13 310 | 66.7% | 60.0% | |
| 52.38% | 42 | 6.0 | 874 | 12 098 | 31.3% | 65.4% | |
| 42.86% | 42 | 5.4 | 834 | 12 728 | 36.4% | 50.0% | |
| 48.78% | 41 | 1.6 | 747 | 15 213 | 40.0% | 51.6% | |
| 60.98% | 41 | 6.5 | 986 | 13 078 | 46.7% | 69.2% | |
| 37.50% | 40 | 5.8 | 695 | 10 614 | 38.1% | 36.8% | |
| 67.50% | 40 | 6.0 | 936 | 14 705 | 66.7% | 67.9% | |
| 45.00% | 40 | 6.1 | 802 | 12 403 | 41.7% | 46.4% | |
| 35.90% | 39 | 2.9 | 810 | 12 826 | 41.2% | 31.8% | |
| 53.85% | 39 | 6.4 | 894 | 11 836 | 52.0% | 57.1% | |
| 51.28% | 39 | 6.4 | 776 | 12 794 | 41.2% | 59.1% | |
| 51.35% | 37 | 6.8 | 872 | 13 855 | 58.8% | 45.0% | |
| 51.35% | 37 | 6.4 | 900 | 11 648 | 55.6% | 47.4% | |
| 60.00% | 35 | 7.2 | 913 | 12 955 | 66.7% | 52.9% | |
| 50.00% | 34 | 3.6 | 798 | 12 984 | 58.8% | 41.2% | |
| 55.88% | 34 | 6.5 | 971 | 13 688 | 57.1% | 55.0% | |
| 54.55% | 33 | 6.8 | 796 | 13 712 | 53.9% | 55.0% | |
| 60.00% | 30 | 6.5 | 1038 | 15 169 | 40.0% | 70.0% | |
| 63.33% | 30 | 6.9 | 818 | 12 645 | 66.7% | 61.1% | |
| 44.83% | 29 | 6.2 | 1249 | 12 284 | 50.0% | 40.0% | |
| 75.86% | 29 | 5.2 | 973 | 15 266 | 76.9% | 75.0% | |
| 51.72% | 29 | 3.5 | 838 | 12 723 | 62.5% | 38.5% | |
| 50.00% | 28 | 1.7 | 787 | 13 946 | 42.9% | 57.1% | |
| 51.85% | 27 | 6.1 | 760 | 12 358 | 53.9% | 50.0% | |
| 44.44% | 27 | 1.7 | 792 | 12 582 | 38.5% | 50.0% | |
| 53.85% | 26 | 6.8 | 933 | 13 064 | 53.9% | 53.9% | |
| 30.77% | 26 | 6.2 | 830 | 11 160 | 30.0% | 31.3% | |
| 46.15% | 26 | 6.3 | 822 | 11 377 | 46.7% | 45.5% | |
| 42.31% | 26 | 6.0 | 921 | 13 635 | 30.0% | 50.0% | |
| 46.15% | 26 | 6.6 | 887 | 12 062 | 50.0% | 43.8% | |
| 28.00% | 25 | 1.6 | 651 | 11 118 | 25.0% | 33.3% | |
| 58.33% | 24 | 5.8 | 913 | 11 859 | 50.0% | 66.7% | |
| 45.83% | 24 | 1.8 | 699 | 14 341 | 45.5% | 46.1% | |
| 50.00% | 24 | 1.1 | 789 | 12 690 | 50.0% | 50.0% | |
| 41.67% | 24 | 6.0 | 1017 | 13 128 | 54.5% | 30.8% | |
| 56.52% | 23 | 1.1 | 844 | 12 757 | 58.3% | 54.5% | |
| 59.09% | 22 | 6.3 | 811 | 13 795 | 80.0% | 41.7% | |
| 59.09% | 22 | 6.7 | 822 | 13 656 | 66.7% | 56.3% | |
| 50.00% | 22 | 6.6 | 687 | 11 117 | 58.3% | 40.0% | |
| 54.55% | 22 | 6.0 | 750 | 11 741 | 63.6% | 45.5% | |
| 50.00% | 22 | 6.8 | 848 | 13 215 | 44.4% | 53.9% | |
| 59.09% | 22 | 4.3 | 830 | 13 789 | 72.7% | 45.5% | |
| 45.45% | 22 | 5.3 | 811 | 11 794 | 27.3% | 63.6% | |
| 59.09% | 22 | 7.2 | 950 | 14 100 | 30.0% | 83.3% | |
| 52.38% | 21 | 6.8 | 996 | 13 071 | 70.0% | 36.4% | |
| 66.67% | 21 | 5.5 | 780 | 12 871 | 55.6% | 75.0% | |
| 40.00% | 20 | 1.3 | 783 | 11 475 | 38.5% | 42.9% | |
| 40.00% | 20 | 6.3 | 681 | 11 462 | 36.4% | 44.4% | |
| 52.63% | 19 | 3.1 | 910 | 12 289 | 53.9% | 50.0% | |
| 50.00% | 18 | 1.8 | 767 | 14 450 | 71.4% | 36.4% | |
| 27.78% | 18 | 6.6 | 799 | 11 098 | 18.2% | 42.9% | |
| 55.56% | 18 | 6.6 | 813 | 13 988 | 75.0% | 50.0% | |
| 55.56% | 18 | 6.7 | 721 | 11 058 | 55.6% | 55.6% | |
| 50.00% | 18 | 3.0 | 814 | 12 825 | 50.0% | 50.0% | |
| 55.56% | 18 | 1.2 | 928 | 15 313 | 62.5% | 50.0% | |
| 47.06% | 17 | 6.5 | 941 | 12 272 | 63.6% | 16.7% | |
| 23.53% | 17 | 1.5 | 881 | 14 201 | 20.0% | 25.0% | |
| 58.82% | 17 | 7.0 | 827 | 12 900 | 57.1% | 60.0% | |
| 50.00% | 16 | 7.0 | 921 | 12 429 | 37.5% | 62.5% | |
| 50.00% | 16 | 7.0 | 870 | 13 397 | 42.9% | 55.6% | |
| 56.25% | 16 | 6.8 | 875 | 12 316 | 44.4% | 71.4% | |
| 73.33% | 15 | 3.3 | 629 | 13 098 | 75.0% | 71.4% | |
| 66.67% | 15 | 2.8 | 904 | 12 943 | 44.4% | 100.0% | |
| 40.00% | 15 | 5.3 | 759 | 11 685 | 44.4% | 33.3% | |
| 33.33% | 15 | 1.8 | 747 | 14 253 | 50.0% | 27.3% | |
| 35.71% | 14 | 3.8 | 795 | 14 528 | 50.0% | 33.3% | |
| 30.77% | 13 | 1.8 | 893 | 12 311 | 50.0% | 14.3% | |
| 61.54% | 13 | 1.4 | 876 | 14 853 | 100.0% | 37.5% | |
| 46.15% | 13 | 6.3 | 660 | 10 281 | 42.9% | 50.0% | |
| 46.15% | 13 | 6.9 | 877 | 13 051 | 25.0% | 80.0% | |
| 41.67% | 12 | 2.0 | 802 | 13 060 | 66.7% | 16.7% | |
| 50.00% | 12 | 7.0 | 776 | 10 481 | 50.0% | 50.0% | |
| 36.36% | 11 | 6.4 | 858 | 12 171 | 33.3% | 40.0% | |
| 45.45% | 11 | 4.3 | 708 | 12 890 | 33.3% | 60.0% | |
| 36.36% | 11 | 5.0 | 795 | 13 879 | 50.0% | 28.6% | |
| 45.45% | 11 | 1.4 | 790 | 11 977 | 42.9% | 50.0% | |
| 70.00% | 10 | 6.1 | 926 | 15 592 | 100.0% | 50.0% | |
| 30.00% | 10 | 1.3 | 657 | 13 162 | 50.0% | 16.7% | |
| 60.00% | 10 | 1.0 | 871 | 12 320 | 66.7% | 50.0% | |
| 10.00% | 10 | 2.0 | 1003 | 15 588 | 20.0% | 0.0% | |
| 90.00% | 10 | 6.9 | 969 | 14 858 | 83.3% | 100.0% | |
| 60.00% | 10 | 1.4 | 764 | 12 664 | 57.1% | 66.7% | |
| 55.56% | 9 | 6.8 | 792 | 15 007 | 0.0% | 71.4% | |
| 33.33% | 9 | 2.7 | 794 | 12 375 | 20.0% | 50.0% | |
| 50.00% | 8 | 6.3 | 676 | 12 640 | 33.3% | 60.0% | |
| 75.00% | 8 | 2.1 | 840 | 11 859 | 85.7% | 0.0% | |
| 50.00% | 8 | 2.4 | 789 | 12 160 | 25.0% | 75.0% | |
| 37.50% | 8 | 0.6 | 623 | 10 775 | 25.0% | 50.0% | |
| 62.50% | 8 | 5.6 | 776 | 16 604 | 50.0% | 66.7% | |
| 62.50% | 8 | 6.5 | 775 | 11 138 | 60.0% | 66.7% | |
| 37.50% | 8 | 6.9 | 1023 | 13 111 | 33.3% | 40.0% | |
| 37.50% | 8 | 6.3 | 986 | 15 446 | 0.0% | 42.9% | |
| 62.50% | 8 | 6.7 | 771 | 13 273 | 60.0% | 66.7% | |
| 28.57% | 7 | 2.3 | 1241 | 14 759 | 0.0% | 40.0% | |
| 14.29% | 7 | 7.1 | 671 | 9658 | 0.0% | 33.3% | |
| 85.71% | 7 | 7.0 | 1058 | 16 012 | 100.0% | 80.0% | |
| 83.33% | 6 | 7.1 | 1032 | 16 773 | 100.0% | 80.0% | |
| 50.00% | 6 | 6.9 | 724 | 10 505 | 50.0% | 50.0% | |
| 50.00% | 6 | 5.7 | 683 | 10 093 | 75.0% | 0.0% | |
| 40.00% | 5 | 1.9 | 948 | 14 165 | 33.3% | 50.0% | |
| 40.00% | 5 | 5.4 | 908 | 14 995 | 0.0% | 50.0% | |
| 40.00% | 5 | 6.2 | 1042 | 12 390 | 0.0% | 50.0% | |
| 80.00% | 5 | 0.9 | 1192 | 15 909 | 75.0% | 100.0% | |
| 40.00% | 5 | 2.7 | 707 | 12 290 | 0.0% | 66.7% | |
| 40.00% | 5 | 6.4 | 802 | 12 302 | 66.7% | 0.0% | |
| 80.00% | 5 | 5.6 | 881 | 14 924 | 50.0% | 100.0% | |
MetaBot Desktop
Zdobądź zwycięską przewagę
Nakładki w czasie rzeczywistym, automatyczne śledzenie meczów i ekskluzywne narzędzia — wszystko, czego potrzebujesz, by piąć się w rankingu, za darmo na twoim PC.
- Nakładki w grze
- Automatyczne śledzenie meczów
- Ekskluzywne narzędzia desktopowe
🔍Report an Issue
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
Matchupy Gwen - Czesto zadawane pytania
Jakie sa najlepsze matchupy Gwen w League of Legends?
Najlepsze matchupy Gwen w patchu 26.17 to Nasus, Garen, and Yone. 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 Elise, Orianna, and Jarvan IV. 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 Nasus, Garen, and Yone w patchu 26.17. 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?
Elise, Orianna, and Jarvan IV kontruja Gwen na linii w patchu 26.17. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Gwen. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.
MetaBot Desktop
Zainstaluj MetaBota na swoim PC
Aplikacja desktopowa działa tylko na Windowsie — wyślij sobie link i zainstaluj ją przy komputerze.
- Nakładki na żywo podczas gry
- Każdy mecz zapisywany automatycznie
- Analizy i coaching AI po meczu
Oceniona na 5/5 gwiazdek
Zatwierdzone przez Riot