MorganaMatchupy
Dane matchupów Morgana dla League of Legends patch 26.7. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Morgana. Dowiedz się kogo Morgana pokonuje i komu przegrywa na linii.
Morgana Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Morgana 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 Morgana dla patcha 26.7 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Morgana, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Morgana, 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 |
|---|---|---|---|---|---|---|---|
| 46.41% | 181 | 1.9 | 576 | 10,260 | 50.8% | 43.9% | |
| 49.64% | 139 | 1.5 | 579 | 9,362 | 53.4% | 45.5% | |
| 46.49% | 114 | 1.7 | 620 | 9,425 | 50.0% | 43.3% | |
| 43.52% | 108 | 1.6 | 620 | 9,572 | 42.9% | 44.1% | |
| 49.02% | 102 | 1.6 | 587 | 9,255 | 56.6% | 40.8% | |
| 51.81% | 83 | 1.6 | 614 | 9,584 | 62.5% | 41.9% | |
| 52.56% | 78 | 1.6 | 588 | 10,004 | 58.6% | 49.0% | |
| 41.67% | 72 | 1.9 | 641 | 9,498 | 43.8% | 40.0% | |
| 48.44% | 64 | 1.8 | 623 | 9,530 | 51.4% | 44.8% | |
| 47.62% | 63 | 1.7 | 648 | 10,108 | 39.1% | 52.5% | |
| 48.39% | 62 | 2.1 | 628 | 9,527 | 55.6% | 42.9% | |
| 54.84% | 62 | 1.7 | 543 | 9,193 | 48.4% | 61.3% | |
| 44.64% | 56 | 1.6 | 573 | 9,186 | 44.8% | 44.4% | |
| 57.14% | 56 | 2.5 | 639 | 10,308 | 60.0% | 55.6% | |
| 45.28% | 53 | 1.6 | 542 | 9,612 | 52.0% | 39.3% | |
| 54.72% | 53 | 1.6 | 654 | 9,916 | 63.6% | 48.4% | |
| 57.69% | 52 | 1.8 | 618 | 9,743 | 65.0% | 53.1% | |
| 44.23% | 52 | 1.9 | 605 | 10,254 | 47.1% | 42.9% | |
| 47.06% | 51 | 1.8 | 540 | 9,463 | 61.5% | 32.0% | |
| 52.94% | 51 | 1.5 | 586 | 10,633 | 55.6% | 51.5% | |
| 44.90% | 49 | 2.3 | 622 | 9,718 | 42.9% | 46.4% | |
| 43.75% | 48 | 1.6 | 581 | 9,795 | 58.8% | 35.5% | |
| 42.86% | 42 | 1.6 | 769 | 9,783 | 50.0% | 38.5% | |
| 33.33% | 42 | 1.7 | 428 | 8,254 | 30.4% | 36.8% | |
| 48.72% | 39 | 1.6 | 566 | 9,975 | 23.5% | 68.2% | |
| 42.86% | 35 | 1.6 | 635 | 9,053 | 42.1% | 43.8% | |
| 45.16% | 31 | 1.7 | 713 | 9,447 | 47.1% | 42.9% | |
| 53.57% | 28 | 1.5 | 534 | 9,674 | 53.9% | 53.3% | |
| 59.26% | 27 | 1.6 | 567 | 10,283 | 44.4% | 66.7% | |
| 62.96% | 27 | 1.5 | 590 | 9,303 | 64.3% | 61.5% | |
| 69.23% | 26 | 4.7 | 889 | 10,971 | 50.0% | 85.7% | |
| 47.83% | 23 | 1.6 | 611 | 11,307 | 40.0% | 53.9% | |
| 61.90% | 21 | 2.4 | 640 | 8,816 | 63.6% | 60.0% | |
| 57.14% | 21 | 2.1 | 614 | 10,125 | 50.0% | 61.5% | |
| 60.00% | 20 | 1.7 | 662 | 10,479 | 66.7% | 57.1% | |
| 35.00% | 20 | 3.7 | 657 | 9,740 | 42.9% | 30.8% | |
| 25.00% | 20 | 5.5 | 693 | 11,571 | 28.6% | 23.1% | |
| 29.41% | 17 | 5.6 | 758 | 10,013 | 33.3% | 25.0% | |
| 33.33% | 15 | 5.8 | 952 | 12,264 | 66.7% | 25.0% | |
| 71.43% | 14 | 4.1 | 682 | 11,698 | 60.0% | 77.8% | |
| 57.14% | 14 | 1.6 | 608 | 11,108 | 75.0% | 50.0% | |
| 57.14% | 14 | 3.0 | 594 | 11,256 | 42.9% | 71.4% | |
| 53.85% | 13 | 1.6 | 689 | 8,335 | 50.0% | 60.0% | |
| 69.23% | 13 | 2.7 | 737 | 11,214 | 50.0% | 85.7% | |
| 76.92% | 13 | 4.7 | 824 | 11,862 | 50.0% | 81.8% | |
| 53.85% | 13 | 4.4 | 815 | 10,724 | 40.0% | 62.5% | |
| 30.77% | 13 | 5.1 | 702 | 10,061 | 20.0% | 37.5% | |
| 33.33% | 12 | 2.1 | 774 | 9,909 | 40.0% | 28.6% | |
| 50.00% | 12 | 4.1 | 691 | 10,151 | 40.0% | 57.1% | |
| 41.67% | 12 | 6.1 | 801 | 11,387 | 100.0% | 22.2% | |
| 41.67% | 12 | 4.9 | 770 | 8,467 | 66.7% | 16.7% | |
| 54.55% | 11 | 2.3 | 744 | 9,631 | 60.0% | 50.0% | |
| 45.45% | 11 | 6.5 | 683 | 11,423 | 80.0% | 16.7% | |
| 45.45% | 11 | 1.4 | 615 | 11,941 | 50.0% | 42.9% | |
| 72.73% | 11 | 3.3 | 695 | 8,337 | 85.7% | 50.0% | |
| 63.64% | 11 | 3.0 | 555 | 9,168 | 50.0% | 80.0% | |
| 40.00% | 10 | 4.1 | 773 | 9,946 | 0.0% | 80.0% | |
| 50.00% | 10 | 1.6 | 711 | 12,154 | 66.7% | 42.9% | |
| 60.00% | 10 | 4.3 | 839 | 11,444 | 33.3% | 71.4% | |
| 66.67% | 9 | 1.8 | 596 | 7,709 | 71.4% | 50.0% | |
| 33.33% | 9 | 2.5 | 733 | 12,147 | 50.0% | 28.6% | |
| 33.33% | 9 | 2.1 | 655 | 12,287 | 40.0% | 25.0% | |
| 66.67% | 9 | 3.6 | 619 | 11,503 | 33.3% | 83.3% | |
| 37.50% | 8 | 2.1 | 599 | 10,141 | 50.0% | 25.0% | |
| 75.00% | 8 | 5.1 | 816 | 12,115 | 50.0% | 83.3% | |
| 57.14% | 7 | 5.0 | 744 | 9,644 | 66.7% | 50.0% | |
| 57.14% | 7 | 3.9 | 446 | 9,460 | 50.0% | 60.0% | |
| 57.14% | 7 | 5.7 | 891 | 13,767 | 50.0% | 60.0% | |
| 57.14% | 7 | 1.4 | 748 | 12,766 | 100.0% | 40.0% | |
| 57.14% | 7 | 4.0 | 752 | 12,440 | 100.0% | 50.0% | |
| 71.43% | 7 | 5.4 | 891 | 12,907 | 100.0% | 60.0% | |
| 100.00% | 6 | 0.9 | 788 | 13,992 | 100.0% | 100.0% | |
| 66.67% | 6 | 6.6 | 744 | 11,132 | 75.0% | 50.0% | |
| 33.33% | 6 | 1.2 | 712 | 9,694 | 33.3% | 33.3% | |
| 50.00% | 6 | 5.6 | 825 | 10,963 | 33.3% | 66.7% | |
| 16.67% | 6 | 6.4 | 660 | 7,590 | 20.0% | 0.0% | |
| 33.33% | 6 | 3.2 | 631 | 10,794 | 66.7% | 0.0% | |
| 50.00% | 6 | 1.1 | 533 | 8,658 | 25.0% | 100.0% | |
| 33.33% | 6 | 5.2 | 752 | 10,023 | 33.3% | 33.3% | |
| 66.67% | 6 | 1.1 | 526 | 10,917 | 66.7% | 66.7% | |
| 66.67% | 6 | 6.4 | 778 | 10,881 | 50.0% | 75.0% | |
| 50.00% | 6 | 5.8 | 826 | 10,171 | 33.3% | 66.7% | |
| 33.33% | 6 | 4.3 | 947 | 12,049 | 33.3% | 33.3% | |
| 50.00% | 6 | 4.4 | 584 | 10,599 | 100.0% | 40.0% | |
| 60.00% | 5 | 6.7 | 860 | 12,513 | 100.0% | 50.0% | |
| 40.00% | 5 | 2.5 | 686 | 8,549 | 33.3% | 50.0% | |
| 80.00% | 5 | 1.9 | 734 | 13,828 | 50.0% | 100.0% | |
| 60.00% | 5 | 2.9 | 769 | 11,217 | 50.0% | 66.7% | |
| 40.00% | 5 | 5.8 | 680 | 8,623 | 50.0% | 0.0% | |
| 20.00% | 5 | 4.8 | 794 | 10,474 | 0.0% | 50.0% | |
| 60.00% | 5 | 0.7 | 523 | 10,456 | 100.0% | 33.3% | |
| 40.00% | 5 | 1.0 | 504 | 9,858 | 100.0% | 25.0% | |
| 40.00% | 5 | 4.9 | 836 | 13,019 | 0.0% | 50.0% | |
| 40.00% | 5 | 4.5 | 855 | 13,378 | 0.0% | 40.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Morgana - Czesto zadawane pytania
Jakie sa najlepsze matchupy Morgana w League of Legends?
Najlepsze matchupy Morgana w patchu 26.7 to Lux, Thresh, and Seraphine. Morgana 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 Morgana?
Najgorsze matchupy Morgana to Yone, Gwen, and Ahri. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Morgana i moga wykorzystac slabosci Morgana na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Morgana?
Mozesz sprawdzic dane matchupow Morgana 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 Morgana.
Kogo kontruje Morgana w League of Legends?
Morgana kontruje Lux, Thresh, and Seraphine w patchu 26.7. To sa najbardziej korzystne matchupy Morgana, gdzie Morgana ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Morgana w szczegolach.
Kto kontruje Morgana na linii?
Yone, Gwen, and Ahri kontruja Morgana na linii w patchu 26.7. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Morgana. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.