EkkoMatchupy
Dane matchupów Ekko dla League of Legends patch 26.10. 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 26.10 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 |
|---|---|---|---|---|---|---|---|
| 50.00% | 212 | 6.3 | 865 | 12,166 | 53.3% | 47.5% | |
| 51.46% | 171 | 6.0 | 876 | 12,637 | 48.4% | 53.3% | |
| 51.83% | 164 | 6.5 | 794 | 12,419 | 59.4% | 47.0% | |
| 49.66% | 149 | 6.0 | 914 | 11,451 | 49.4% | 50.0% | |
| 51.03% | 145 | 1.4 | 687 | 12,392 | 62.3% | 40.8% | |
| 52.86% | 140 | 4.2 | 815 | 12,819 | 49.1% | 55.6% | |
| 44.29% | 140 | 1.3 | 768 | 13,025 | 39.3% | 48.1% | |
| 51.80% | 139 | 5.7 | 822 | 12,177 | 46.8% | 55.8% | |
| 52.17% | 138 | 5.6 | 878 | 12,845 | 54.4% | 50.6% | |
| 43.07% | 137 | 6.4 | 763 | 11,828 | 48.4% | 38.7% | |
| 49.61% | 129 | 1.3 | 688 | 12,930 | 50.8% | 48.5% | |
| 51.18% | 127 | 1.3 | 692 | 12,675 | 53.0% | 49.2% | |
| 52.76% | 127 | 2.8 | 856 | 12,731 | 54.8% | 50.8% | |
| 48.00% | 125 | 4.4 | 862 | 12,175 | 38.8% | 54.0% | |
| 51.61% | 124 | 1.2 | 713 | 12,376 | 52.6% | 50.8% | |
| 57.63% | 118 | 6.1 | 875 | 12,535 | 52.2% | 61.1% | |
| 46.96% | 115 | 1.2 | 694 | 12,793 | 46.0% | 47.7% | |
| 54.46% | 112 | 1.3 | 759 | 13,105 | 53.3% | 55.2% | |
| 54.46% | 112 | 4.2 | 842 | 12,533 | 58.3% | 51.6% | |
| 48.60% | 107 | 5.8 | 884 | 11,642 | 49.0% | 48.2% | |
| 48.54% | 103 | 6.3 | 854 | 11,968 | 46.0% | 50.9% | |
| 41.18% | 102 | 1.2 | 730 | 13,079 | 40.5% | 41.7% | |
| 49.49% | 99 | 6.2 | 825 | 12,017 | 47.9% | 51.0% | |
| 36.36% | 99 | 1.6 | 796 | 12,849 | 34.1% | 37.9% | |
| 50.00% | 98 | 6.0 | 781 | 11,677 | 52.2% | 48.1% | |
| 47.78% | 90 | 6.3 | 797 | 12,355 | 47.4% | 48.1% | |
| 43.02% | 86 | 3.5 | 723 | 12,128 | 62.5% | 26.1% | |
| 52.00% | 75 | 1.1 | 750 | 12,616 | 57.1% | 47.5% | |
| 49.32% | 73 | 1.3 | 748 | 13,698 | 51.9% | 47.8% | |
| 59.15% | 71 | 6.0 | 743 | 11,767 | 60.0% | 58.5% | |
| 61.97% | 71 | 6.2 | 754 | 12,019 | 60.7% | 62.8% | |
| 53.52% | 71 | 6.1 | 896 | 11,381 | 67.5% | 35.5% | |
| 54.93% | 71 | 1.5 | 674 | 13,090 | 61.3% | 50.0% | |
| 44.29% | 70 | 5.8 | 805 | 12,023 | 42.4% | 46.0% | |
| 50.00% | 70 | 6.0 | 879 | 12,305 | 72.4% | 34.1% | |
| 56.52% | 69 | 6.3 | 823 | 11,748 | 62.9% | 50.0% | |
| 51.47% | 68 | 6.3 | 829 | 10,919 | 50.0% | 52.8% | |
| 49.21% | 63 | 1.6 | 731 | 13,091 | 35.7% | 60.0% | |
| 58.73% | 63 | 4.7 | 961 | 13,526 | 58.8% | 58.7% | |
| 46.67% | 60 | 1.4 | 700 | 12,388 | 44.8% | 48.4% | |
| 47.46% | 59 | 1.2 | 653 | 12,455 | 56.0% | 41.2% | |
| 56.90% | 58 | 6.3 | 818 | 12,426 | 57.7% | 56.3% | |
| 43.10% | 58 | 5.8 | 830 | 11,840 | 50.0% | 38.9% | |
| 50.88% | 57 | 6.1 | 830 | 12,569 | 64.7% | 45.0% | |
| 56.14% | 57 | 1.5 | 711 | 12,140 | 60.9% | 52.9% | |
| 47.27% | 55 | 6.3 | 874 | 12,471 | 50.0% | 46.0% | |
| 49.02% | 51 | 6.4 | 783 | 11,103 | 48.1% | 50.0% | |
| 64.00% | 50 | 5.9 | 842 | 11,420 | 65.5% | 61.9% | |
| 55.32% | 47 | 1.3 | 688 | 12,505 | 65.2% | 45.8% | |
| 42.55% | 47 | 5.6 | 839 | 12,382 | 47.1% | 40.0% | |
| 56.52% | 46 | 6.5 | 853 | 12,457 | 55.0% | 57.7% | |
| 62.22% | 45 | 6.3 | 823 | 11,609 | 65.2% | 59.1% | |
| 52.27% | 44 | 1.2 | 722 | 13,531 | 61.1% | 46.1% | |
| 47.62% | 42 | 6.5 | 862 | 11,444 | 57.1% | 38.1% | |
| 64.29% | 42 | 1.3 | 794 | 12,918 | 61.9% | 66.7% | |
| 41.46% | 41 | 1.8 | 740 | 13,431 | 35.7% | 44.4% | |
| 56.10% | 41 | 3.8 | 842 | 13,635 | 84.6% | 42.9% | |
| 50.00% | 40 | 5.2 | 764 | 11,848 | 55.6% | 45.5% | |
| 52.50% | 40 | 1.3 | 714 | 12,943 | 42.9% | 57.7% | |
| 46.15% | 39 | 2.7 | 659 | 12,782 | 30.8% | 53.9% | |
| 64.10% | 39 | 6.8 | 761 | 12,164 | 57.9% | 70.0% | |
| 52.94% | 34 | 2.7 | 745 | 12,776 | 84.6% | 33.3% | |
| 29.41% | 34 | 1.5 | 662 | 11,055 | 17.6% | 41.2% | |
| 58.82% | 34 | 1.6 | 682 | 13,461 | 57.1% | 60.0% | |
| 44.12% | 34 | 3.9 | 800 | 12,175 | 43.8% | 44.4% | |
| 24.24% | 33 | 3.9 | 683 | 10,642 | 27.3% | 18.2% | |
| 46.88% | 32 | 1.8 | 821 | 12,546 | 41.7% | 50.0% | |
| 54.84% | 31 | 1.4 | 803 | 14,167 | 50.0% | 57.1% | |
| 51.61% | 31 | 6.4 | 978 | 13,650 | 54.5% | 50.0% | |
| 56.67% | 30 | 1.7 | 774 | 13,542 | 53.3% | 60.0% | |
| 58.62% | 29 | 1.1 | 675 | 11,059 | 60.0% | 57.1% | |
| 44.83% | 29 | 1.6 | 717 | 14,426 | 28.6% | 50.0% | |
| 33.33% | 27 | 1.0 | 663 | 12,011 | 38.5% | 28.6% | |
| 48.15% | 27 | 2.1 | 862 | 13,282 | 50.0% | 47.1% | |
| 53.85% | 26 | 4.5 | 769 | 12,533 | 38.5% | 69.2% | |
| 57.69% | 26 | 4.6 | 868 | 12,495 | 77.8% | 47.1% | |
| 56.00% | 25 | 5.5 | 974 | 13,205 | 50.0% | 60.0% | |
| 56.00% | 25 | 1.3 | 747 | 12,164 | 81.8% | 35.7% | |
| 52.00% | 25 | 1.5 | 818 | 13,516 | 63.6% | 42.9% | |
| 50.00% | 24 | 1.1 | 753 | 14,409 | 50.0% | 50.0% | |
| 58.33% | 24 | 6.2 | 987 | 13,251 | 77.8% | 46.7% | |
| 50.00% | 24 | 2.0 | 846 | 14,054 | 57.1% | 47.1% | |
| 50.00% | 22 | 3.3 | 815 | 12,498 | 50.0% | 50.0% | |
| 63.64% | 22 | 6.2 | 943 | 13,469 | 77.8% | 53.9% | |
| 42.86% | 21 | 1.8 | 683 | 12,249 | 50.0% | 33.3% | |
| 28.57% | 21 | 4.6 | 750 | 12,593 | 41.7% | 11.1% | |
| 65.00% | 20 | 6.9 | 825 | 14,166 | 42.9% | 76.9% | |
| 40.00% | 20 | 2.4 | 690 | 11,006 | 57.1% | 30.8% | |
| 70.00% | 20 | 1.1 | 835 | 14,425 | 60.0% | 73.3% | |
| 47.37% | 19 | 4.0 | 958 | 13,414 | 50.0% | 46.1% | |
| 57.89% | 19 | 6.5 | 919 | 13,177 | 87.5% | 36.4% | |
| 50.00% | 18 | 6.3 | 877 | 12,180 | 37.5% | 60.0% | |
| 58.82% | 17 | 5.0 | 973 | 12,471 | 33.3% | 72.7% | |
| 58.82% | 17 | 4.8 | 727 | 11,139 | 55.6% | 62.5% | |
| 47.06% | 17 | 3.6 | 848 | 14,262 | 40.0% | 50.0% | |
| 62.50% | 16 | 3.6 | 702 | 11,839 | 55.6% | 71.4% | |
| 68.75% | 16 | 5.2 | 968 | 12,829 | 60.0% | 72.7% | |
| 80.00% | 15 | 5.2 | 745 | 11,888 | 83.3% | 77.8% | |
| 53.33% | 15 | 5.2 | 893 | 13,040 | 57.1% | 50.0% | |
| 33.33% | 15 | 2.0 | 770 | 11,059 | 44.4% | 16.7% | |
| 53.33% | 15 | 4.5 | 810 | 13,044 | 66.7% | 44.4% | |
| 53.33% | 15 | 1.4 | 730 | 14,573 | 60.0% | 50.0% | |
| 46.67% | 15 | 2.2 | 886 | 13,586 | 60.0% | 40.0% | |
| 50.00% | 14 | 4.9 | 712 | 13,298 | 66.7% | 45.5% | |
| 50.00% | 14 | 2.9 | 656 | 13,750 | 50.0% | 50.0% | |
| 76.92% | 13 | 4.7 | 981 | 13,203 | 100.0% | 50.0% | |
| 61.54% | 13 | 1.1 | 761 | 12,868 | 60.0% | 62.5% | |
| 33.33% | 12 | 4.5 | 857 | 12,439 | 25.0% | 37.5% | |
| 33.33% | 12 | 1.4 | 729 | 10,988 | 25.0% | 37.5% | |
| 8.33% | 12 | 3.2 | 775 | 13,783 | 0.0% | 12.5% | |
| 33.33% | 12 | 5.1 | 868 | 14,216 | 50.0% | 30.0% | |
| 27.27% | 11 | 5.4 | 676 | 11,314 | 33.3% | 20.0% | |
| 50.00% | 10 | 1.3 | 645 | 11,424 | 66.7% | 25.0% | |
| 55.56% | 9 | 2.2 | 702 | 13,951 | 100.0% | 20.0% | |
| 44.44% | 9 | 4.2 | 731 | 10,203 | 60.0% | 25.0% | |
| 33.33% | 9 | 5.5 | 940 | 13,334 | 0.0% | 50.0% | |
| 44.44% | 9 | 6.7 | 910 | 14,678 | 0.0% | 50.0% | |
| 75.00% | 8 | 6.4 | 941 | 14,946 | 75.0% | 75.0% | |
| 87.50% | 8 | 6.8 | 1,032 | 13,205 | 75.0% | 100.0% | |
| 50.00% | 8 | 7.0 | 836 | 12,433 | 60.0% | 33.3% | |
| 57.14% | 7 | 6.4 | 853 | 12,248 | 100.0% | 25.0% | |
| 42.86% | 7 | 3.9 | 732 | 13,889 | 0.0% | 60.0% | |
| 57.14% | 7 | 6.0 | 833 | 11,932 | 100.0% | 25.0% | |
| 33.33% | 6 | 2.7 | 686 | 9,563 | 66.7% | 0.0% | |
| 33.33% | 6 | 1.8 | 682 | 11,183 | 50.0% | 25.0% | |
| 16.67% | 6 | 6.2 | 826 | 12,653 | 0.0% | 20.0% | |
| 16.67% | 6 | 6.2 | 753 | 12,450 | 33.3% | 0.0% | |
| 33.33% | 6 | 2.1 | 738 | 12,492 | 33.3% | 33.3% | |
| 40.00% | 5 | 4.8 | 652 | 10,799 | 66.7% | 0.0% | |
| 40.00% | 5 | 6.0 | 627 | 4,495 | 50.0% | 0.0% | |
| 20.00% | 5 | 5.0 | 739 | 10,490 | 50.0% | 0.0% | |
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 26.10 to Ahri, Yasuo, and Malzahar. 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 Gragas, Ornn, and Singed. 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 Ahri, Yasuo, and Malzahar w patchu 26.10. 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?
Gragas, Ornn, and Singed kontruja Ekko na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Ekko. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.