EkkoMatchupy
Dane matchupów Ekko dla League of Legends patch 26.3. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Ekko. Dowiedz się kogo Ekko pokonuje i komu przegrywa na linii.
Ekko Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Ekko 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 Ekko dla patcha 26.3 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Ekko, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Ekko, 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 |
|---|---|---|---|---|---|---|---|
| 51.68% | 238 | 1.3 | 733 | 13,750 | 54.6% | 49.2% | |
| 44.39% | 196 | 6.0 | 777 | 11,928 | 44.4% | 44.3% | |
| 53.29% | 152 | 6.3 | 787 | 11,690 | 60.3% | 46.0% | |
| 53.57% | 140 | 3.1 | 758 | 12,910 | 49.3% | 57.8% | |
| 44.93% | 138 | 6.3 | 755 | 12,752 | 54.9% | 39.1% | |
| 40.44% | 136 | 1.1 | 713 | 13,276 | 38.3% | 42.1% | |
| 47.33% | 131 | 1.1 | 611 | 12,122 | 49.3% | 45.2% | |
| 54.03% | 124 | 1.4 | 726 | 13,188 | 51.9% | 55.6% | |
| 53.72% | 121 | 1.4 | 736 | 12,905 | 59.7% | 47.5% | |
| 45.83% | 120 | 1.5 | 801 | 13,505 | 42.1% | 49.2% | |
| 53.85% | 117 | 5.5 | 861 | 13,067 | 52.2% | 54.9% | |
| 57.76% | 116 | 1.2 | 692 | 13,709 | 66.0% | 52.2% | |
| 48.65% | 111 | 5.9 | 869 | 12,353 | 55.8% | 44.1% | |
| 50.46% | 109 | 4.4 | 751 | 12,287 | 55.4% | 45.3% | |
| 48.54% | 103 | 5.8 | 769 | 10,904 | 43.3% | 55.8% | |
| 47.52% | 101 | 1.0 | 701 | 12,688 | 51.1% | 44.6% | |
| 48.00% | 100 | 5.9 | 761 | 12,273 | 56.8% | 41.1% | |
| 43.00% | 100 | 4.4 | 888 | 12,130 | 36.4% | 51.1% | |
| 50.51% | 99 | 5.9 | 886 | 11,888 | 48.0% | 53.1% | |
| 51.76% | 85 | 6.4 | 741 | 12,264 | 52.5% | 51.1% | |
| 47.62% | 84 | 6.1 | 726 | 11,743 | 47.6% | 47.6% | |
| 52.38% | 84 | 5.8 | 884 | 13,440 | 50.0% | 54.2% | |
| 53.01% | 83 | 1.4 | 668 | 13,168 | 61.0% | 45.2% | |
| 53.16% | 79 | 6.3 | 766 | 11,874 | 61.1% | 46.5% | |
| 57.69% | 78 | 1.1 | 664 | 13,403 | 48.5% | 64.4% | |
| 51.35% | 74 | 1.2 | 799 | 12,971 | 48.6% | 54.0% | |
| 53.52% | 71 | 1.2 | 807 | 13,380 | 56.3% | 51.3% | |
| 61.43% | 70 | 1.2 | 739 | 13,207 | 67.7% | 56.4% | |
| 45.59% | 68 | 1.4 | 701 | 13,579 | 58.6% | 35.9% | |
| 53.03% | 66 | 1.5 | 764 | 13,133 | 50.0% | 55.9% | |
| 49.23% | 65 | 6.0 | 797 | 11,611 | 46.4% | 51.4% | |
| 59.38% | 64 | 1.2 | 758 | 14,026 | 61.5% | 57.9% | |
| 54.84% | 62 | 6.2 | 925 | 12,890 | 53.9% | 55.6% | |
| 62.71% | 59 | 5.9 | 688 | 11,266 | 65.4% | 60.6% | |
| 52.54% | 59 | 1.6 | 858 | 13,237 | 52.0% | 52.9% | |
| 66.67% | 57 | 6.2 | 869 | 13,264 | 76.5% | 62.5% | |
| 41.07% | 56 | 1.3 | 789 | 13,071 | 21.7% | 54.5% | |
| 50.94% | 53 | 6.5 | 905 | 12,522 | 45.5% | 54.8% | |
| 45.28% | 53 | 1.2 | 696 | 12,422 | 37.5% | 57.1% | |
| 55.77% | 52 | 1.5 | 788 | 14,244 | 61.9% | 51.6% | |
| 43.14% | 51 | 1.3 | 662 | 12,282 | 43.8% | 42.1% | |
| 48.00% | 50 | 1.2 | 748 | 12,939 | 35.0% | 56.7% | |
| 54.00% | 50 | 1.1 | 732 | 13,698 | 52.9% | 54.5% | |
| 55.10% | 49 | 2.0 | 728 | 12,140 | 57.1% | 53.6% | |
| 55.10% | 49 | 1.1 | 751 | 12,338 | 54.8% | 55.6% | |
| 50.00% | 48 | 3.0 | 778 | 13,574 | 25.0% | 62.5% | |
| 47.92% | 48 | 6.2 | 797 | 13,442 | 50.0% | 46.4% | |
| 39.58% | 48 | 6.5 | 856 | 12,967 | 57.9% | 27.6% | |
| 46.81% | 47 | 5.4 | 877 | 12,603 | 38.9% | 51.7% | |
| 44.68% | 47 | 1.0 | 787 | 13,580 | 52.4% | 38.5% | |
| 53.19% | 47 | 1.4 | 822 | 13,345 | 52.4% | 53.9% | |
| 59.57% | 47 | 5.7 | 751 | 12,025 | 42.1% | 71.4% | |
| 47.73% | 44 | 5.8 | 739 | 12,552 | 58.8% | 40.7% | |
| 51.16% | 43 | 6.1 | 914 | 12,066 | 62.5% | 36.8% | |
| 51.16% | 43 | 3.8 | 792 | 12,143 | 66.7% | 40.0% | |
| 45.24% | 42 | 1.4 | 653 | 12,832 | 56.5% | 31.6% | |
| 57.14% | 42 | 6.1 | 823 | 12,440 | 62.5% | 53.9% | |
| 50.00% | 42 | 4.2 | 839 | 13,773 | 64.3% | 42.9% | |
| 47.62% | 42 | 1.7 | 741 | 13,122 | 50.0% | 45.8% | |
| 26.83% | 41 | 6.0 | 882 | 12,165 | 19.1% | 35.0% | |
| 57.50% | 40 | 5.0 | 832 | 12,783 | 65.0% | 50.0% | |
| 51.28% | 39 | 6.0 | 915 | 12,823 | 68.8% | 39.1% | |
| 46.15% | 39 | 6.1 | 793 | 12,161 | 62.5% | 34.8% | |
| 36.84% | 38 | 2.9 | 734 | 11,823 | 40.9% | 31.3% | |
| 36.11% | 36 | 1.4 | 831 | 13,821 | 33.3% | 38.9% | |
| 47.06% | 34 | 6.2 | 935 | 12,144 | 47.1% | 47.1% | |
| 54.55% | 33 | 4.9 | 777 | 12,441 | 60.0% | 46.1% | |
| 45.45% | 33 | 5.8 | 849 | 12,681 | 53.3% | 38.9% | |
| 54.55% | 33 | 6.3 | 884 | 14,031 | 50.0% | 56.5% | |
| 55.17% | 29 | 1.2 | 717 | 12,492 | 68.8% | 38.5% | |
| 48.28% | 29 | 3.6 | 781 | 13,637 | 40.0% | 52.6% | |
| 37.93% | 29 | 1.3 | 734 | 12,921 | 50.0% | 26.7% | |
| 48.15% | 27 | 1.4 | 621 | 12,551 | 30.0% | 58.8% | |
| 37.04% | 27 | 1.5 | 696 | 12,463 | 45.5% | 31.3% | |
| 48.15% | 27 | 6.4 | 859 | 12,728 | 53.3% | 41.7% | |
| 46.15% | 26 | 1.6 | 778 | 13,681 | 41.7% | 50.0% | |
| 57.69% | 26 | 1.5 | 661 | 13,467 | 50.0% | 64.3% | |
| 53.85% | 26 | 3.7 | 739 | 12,645 | 35.7% | 75.0% | |
| 53.85% | 26 | 1.1 | 695 | 12,749 | 53.9% | 53.9% | |
| 75.00% | 24 | 6.2 | 780 | 12,264 | 75.0% | 75.0% | |
| 50.00% | 24 | 6.7 | 755 | 11,279 | 46.1% | 54.5% | |
| 50.00% | 24 | 3.1 | 832 | 13,662 | 55.6% | 46.7% | |
| 37.50% | 24 | 6.2 | 722 | 12,653 | 42.9% | 35.3% | |
| 58.33% | 24 | 1.3 | 776 | 13,498 | 54.5% | 61.5% | |
| 69.57% | 23 | 1.5 | 838 | 14,989 | 88.9% | 57.1% | |
| 50.00% | 22 | 3.4 | 642 | 12,116 | 44.4% | 53.9% | |
| 40.91% | 22 | 1.3 | 514 | 9,517 | 43.8% | 33.3% | |
| 42.86% | 21 | 1.7 | 643 | 13,153 | 40.0% | 43.8% | |
| 52.38% | 21 | 2.2 | 708 | 11,644 | 46.1% | 62.5% | |
| 35.00% | 20 | 5.3 | 785 | 10,354 | 33.3% | 37.5% | |
| 57.89% | 19 | 5.3 | 1,105 | 12,546 | 61.5% | 50.0% | |
| 42.11% | 19 | 3.4 | 819 | 13,981 | 25.0% | 46.7% | |
| 33.33% | 18 | 6.3 | 871 | 11,074 | 50.0% | 0.0% | |
| 37.50% | 16 | 3.7 | 728 | 10,988 | 20.0% | 66.7% | |
| 81.25% | 16 | 5.7 | 755 | 12,983 | 83.3% | 80.0% | |
| 37.50% | 16 | 6.0 | 750 | 11,856 | 25.0% | 50.0% | |
| 25.00% | 16 | 5.5 | 802 | 11,801 | 37.5% | 12.5% | |
| 40.00% | 15 | 5.6 | 824 | 14,276 | 50.0% | 36.4% | |
| 57.14% | 14 | 0.9 | 718 | 12,255 | 37.5% | 83.3% | |
| 35.71% | 14 | 2.9 | 791 | 12,099 | 37.5% | 33.3% | |
| 53.85% | 13 | 5.2 | 719 | 12,677 | 57.1% | 50.0% | |
| 76.92% | 13 | 2.6 | 760 | 14,451 | 75.0% | 77.8% | |
| 33.33% | 12 | 5.2 | 690 | 9,113 | 28.6% | 40.0% | |
| 58.33% | 12 | 5.9 | 881 | 11,304 | 71.4% | 40.0% | |
| 54.55% | 11 | 1.0 | 680 | 11,153 | 66.7% | 40.0% | |
| 54.55% | 11 | 3.6 | 815 | 12,866 | 66.7% | 50.0% | |
| 30.00% | 10 | 6.1 | 778 | 10,711 | 28.6% | 33.3% | |
| 50.00% | 10 | 6.2 | 703 | 12,870 | 50.0% | 50.0% | |
| 60.00% | 10 | 6.2 | 841 | 13,280 | 75.0% | 50.0% | |
| 44.44% | 9 | 5.6 | 754 | 10,939 | 20.0% | 75.0% | |
| 87.50% | 8 | 1.3 | 821 | 14,896 | 66.7% | 100.0% | |
| 62.50% | 8 | 6.1 | 797 | 15,291 | 100.0% | 57.1% | |
| 75.00% | 8 | 6.7 | 887 | 13,370 | 100.0% | 50.0% | |
| 62.50% | 8 | 5.3 | 800 | 11,303 | 75.0% | 50.0% | |
| 42.86% | 7 | 4.0 | 590 | 8,814 | 50.0% | 0.0% | |
| 71.43% | 7 | 4.4 | 772 | 11,392 | 83.3% | 0.0% | |
| 28.57% | 7 | 6.3 | 955 | 13,128 | 0.0% | 50.0% | |
| 33.33% | 6 | 1.8 | 581 | 10,513 | 50.0% | 0.0% | |
| 50.00% | 6 | 3.4 | 992 | 12,457 | 33.3% | 66.7% | |
| 50.00% | 6 | 3.6 | 861 | 13,167 | 66.7% | 33.3% | |
| 33.33% | 6 | 5.7 | 698 | 11,077 | 20.0% | 100.0% | |
| 80.00% | 5 | 6.4 | 773 | 10,395 | 75.0% | 100.0% | |
| 60.00% | 5 | 5.8 | 481 | 7,438 | 50.0% | 100.0% | |
| 60.00% | 5 | 2.6 | 754 | 11,415 | 50.0% | 66.7% | |
| 80.00% | 5 | 6.7 | 706 | 13,495 | 100.0% | 50.0% | |
| 80.00% | 5 | 6.0 | 971 | 13,190 | 66.7% | 100.0% | |
| 40.00% | 5 | 2.6 | 756 | 13,309 | 100.0% | 0.0% | |
| 40.00% | 5 | 5.2 | 1,015 | 13,238 | 50.0% | 33.3% | |
| 20.00% | 5 | 3.4 | 1,336 | 15,713 | 0.0% | 33.3% | |
| 80.00% | 5 | 5.3 | 790 | 14,168 | 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 Ekko - Czesto zadawane pytania
Jakie sa najlepsze matchupy Ekko w League of Legends?
Najlepsze matchupy Ekko w patchu 26.3 to Viego, Yasuo, and Ahri. Ekko 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 Ekko?
Najgorsze matchupy Ekko to Olaf, Neeko, and Irelia. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Ekko i moga wykorzystac slabosci Ekko na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Ekko?
Mozesz sprawdzic dane matchupow Ekko 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 Ekko.
Kogo kontruje Ekko w League of Legends?
Ekko kontruje Viego, Yasuo, and Ahri w patchu 26.3. To sa najbardziej korzystne matchupy Ekko, gdzie Ekko ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Ekko w szczegolach.
Kto kontruje Ekko na linii?
Olaf, Neeko, and Irelia kontruja Ekko na linii w patchu 26.3. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Ekko. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.