Współczynnik wygranych
51.3%
Współczynnik wyboru
5.0%
EkkoMatchupy
Patch26.16
Mecze1,860,540
LiniaWszystkie linie
TierWszystkie tiery
Ostatnia aktualizacja26 sie 2026 UTC
MetodologiaMetodologia danych
AutorDakota Chinnick
Dane matchupów Ekko dla League of Legends patch 26.16. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Ekko. Dowiedz się kogo Ekko pokonuje i komu przegrywa na linii.
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Analiza matchupu Ekko
Użyj menu rozwijanego, aby wybrać przeciwnika i zobaczyć szczegółową analizę, jak Ekko 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.
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Dane matchupow Ekko dla patcha 26.16 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 |
|---|---|---|---|---|---|---|---|
| 52.15% | 186 | 1.1 | 729 | 12 842 | 51.2% | 52.9% | |
| 47.59% | 166 | 3.8 | 863 | 12 125 | 43.2% | 51.8% | |
| 47.52% | 141 | 5.0 | 850 | 13 235 | 48.4% | 46.8% | |
| 55.20% | 125 | 1.1 | 743 | 13 489 | 53.6% | 56.5% | |
| 46.67% | 120 | 1.2 | 716 | 13 482 | 44.4% | 48.0% | |
| 56.30% | 119 | 1.1 | 741 | 13 320 | 67.2% | 45.9% | |
| 46.02% | 113 | 5.7 | 894 | 12 313 | 51.0% | 42.2% | |
| 52.68% | 112 | 1.2 | 728 | 13 621 | 54.4% | 51.5% | |
| 49.02% | 102 | 5.8 | 773 | 11 040 | 50.9% | 46.8% | |
| 54.08% | 98 | 6.2 | 828 | 12 853 | 66.7% | 46.8% | |
| 49.47% | 95 | 1.1 | 690 | 12 899 | 53.9% | 46.4% | |
| 49.47% | 95 | 4.8 | 967 | 13 776 | 54.3% | 46.7% | |
| 50.54% | 93 | 1.1 | 769 | 12 742 | 44.2% | 56.0% | |
| 53.93% | 89 | 3.1 | 761 | 12 283 | 55.0% | 53.1% | |
| 62.07% | 87 | 1.1 | 707 | 12 805 | 53.3% | 71.4% | |
| 54.02% | 87 | 6.1 | 842 | 12 472 | 54.5% | 53.7% | |
| 50.63% | 79 | 1.1 | 692 | 12 234 | 54.0% | 47.6% | |
| 54.55% | 77 | 5.8 | 931 | 12 279 | 54.5% | 54.5% | |
| 48.68% | 76 | 5.3 | 846 | 12 478 | 50.0% | 47.7% | |
| 39.19% | 74 | 5.7 | 748 | 11 332 | 31.4% | 46.1% | |
| 51.35% | 74 | 1.7 | 784 | 13 507 | 60.6% | 43.9% | |
| 44.93% | 69 | 2.4 | 727 | 12 620 | 42.9% | 47.1% | |
| 55.22% | 67 | 4.1 | 872 | 12 673 | 66.7% | 46.0% | |
| 53.03% | 66 | 5.7 | 851 | 12 056 | 65.0% | 47.8% | |
| 60.00% | 65 | 1.0 | 704 | 12 511 | 68.6% | 50.0% | |
| 56.25% | 64 | 6.1 | 932 | 12 458 | 72.4% | 42.9% | |
| 46.77% | 62 | 1.0 | 654 | 12 704 | 50.0% | 44.4% | |
| 50.00% | 60 | 6.1 | 844 | 12 489 | 57.7% | 44.1% | |
| 39.66% | 58 | 6.0 | 818 | 11 662 | 33.3% | 48.0% | |
| 48.21% | 56 | 3.0 | 816 | 13 590 | 64.7% | 41.0% | |
| 32.14% | 56 | 1.1 | 631 | 12 245 | 28.0% | 35.5% | |
| 47.06% | 51 | 5.9 | 816 | 12 582 | 38.9% | 51.5% | |
| 50.98% | 51 | 1.1 | 773 | 12 304 | 54.2% | 48.1% | |
| 50.98% | 51 | 1.1 | 704 | 13 298 | 57.1% | 43.5% | |
| 51.11% | 45 | 5.6 | 828 | 11 819 | 55.0% | 48.0% | |
| 42.22% | 45 | 1.6 | 758 | 13 191 | 50.0% | 34.8% | |
| 65.91% | 44 | 1.3 | 755 | 14 285 | 68.4% | 64.0% | |
| 67.44% | 43 | 3.5 | 805 | 12 872 | 80.0% | 56.5% | |
| 65.12% | 43 | 5.3 | 772 | 12 529 | 80.0% | 57.1% | |
| 46.51% | 43 | 1.5 | 695 | 12 148 | 52.6% | 41.7% | |
| 40.48% | 42 | 5.9 | 883 | 11 749 | 43.5% | 36.8% | |
| 62.50% | 40 | 1.3 | 860 | 13 744 | 59.1% | 66.7% | |
| 68.42% | 38 | 1.0 | 775 | 13 749 | 68.4% | 68.4% | |
| 39.47% | 38 | 1.1 | 737 | 13 736 | 31.3% | 45.5% | |
| 54.05% | 37 | 6.0 | 929 | 12 392 | 62.5% | 47.6% | |
| 54.05% | 37 | 1.2 | 780 | 13 690 | 66.7% | 45.5% | |
| 45.95% | 37 | 1.1 | 762 | 14 583 | 50.0% | 44.0% | |
| 51.35% | 37 | 5.8 | 867 | 13 744 | 80.0% | 40.7% | |
| 52.78% | 36 | 1.0 | 740 | 12 938 | 66.7% | 38.9% | |
| 47.06% | 34 | 6.2 | 865 | 11 948 | 53.3% | 42.1% | |
| 45.45% | 33 | 1.2 | 773 | 14 297 | 42.9% | 47.4% | |
| 39.39% | 33 | 1.2 | 730 | 12 176 | 47.4% | 28.6% | |
| 37.50% | 32 | 2.1 | 744 | 13 274 | 37.5% | 37.5% | |
| 38.71% | 31 | 5.8 | 825 | 12 553 | 45.5% | 35.0% | |
| 80.65% | 31 | 6.0 | 884 | 13 208 | 81.8% | 80.0% | |
| 56.67% | 30 | 5.8 | 733 | 11 993 | 66.7% | 46.7% | |
| 64.29% | 28 | 1.3 | 828 | 14 090 | 58.3% | 68.8% | |
| 46.43% | 28 | 5.9 | 882 | 11 298 | 30.8% | 60.0% | |
| 66.67% | 27 | 6.4 | 905 | 12 685 | 64.3% | 69.2% | |
| 48.15% | 27 | 2.8 | 856 | 12 742 | 44.4% | 50.0% | |
| 55.56% | 27 | 5.8 | 865 | 12 304 | 60.0% | 52.9% | |
| 48.00% | 25 | 3.4 | 800 | 13 313 | 45.5% | 50.0% | |
| 41.67% | 24 | 1.1 | 847 | 13 473 | 41.7% | 41.7% | |
| 47.83% | 23 | 6.0 | 851 | 10 798 | 35.7% | 66.7% | |
| 56.52% | 23 | 1.1 | 713 | 13 133 | 57.1% | 56.3% | |
| 65.22% | 23 | 5.9 | 846 | 12 571 | 75.0% | 60.0% | |
| 68.18% | 22 | 1.1 | 671 | 13 138 | 81.8% | 54.5% | |
| 40.91% | 22 | 2.3 | 894 | 13 001 | 25.0% | 50.0% | |
| 38.10% | 21 | 2.0 | 786 | 13 376 | 25.0% | 46.1% | |
| 50.00% | 20 | 2.0 | 719 | 13 159 | 57.1% | 46.1% | |
| 73.68% | 19 | 6.0 | 933 | 11 262 | 72.7% | 75.0% | |
| 72.22% | 18 | 5.8 | 948 | 12 970 | 75.0% | 70.0% | |
| 61.11% | 18 | 4.0 | 754 | 12 749 | 80.0% | 53.9% | |
| 44.44% | 18 | 6.3 | 835 | 12 169 | 70.0% | 12.5% | |
| 52.94% | 17 | 1.5 | 867 | 14 351 | 42.9% | 60.0% | |
| 41.18% | 17 | 5.8 | 850 | 11 786 | 66.7% | 27.3% | |
| 56.25% | 16 | 2.6 | 860 | 14 108 | 50.0% | 60.0% | |
| 43.75% | 16 | 5.8 | 1062 | 12 576 | 33.3% | 50.0% | |
| 43.75% | 16 | 3.7 | 909 | 11 983 | 83.3% | 20.0% | |
| 66.67% | 15 | 2.0 | 771 | 12 309 | 66.7% | 66.7% | |
| 53.33% | 15 | 6.2 | 888 | 12 799 | 50.0% | 55.6% | |
| 35.71% | 14 | 3.4 | 712 | 11 811 | 50.0% | 16.7% | |
| 64.29% | 14 | 2.0 | 744 | 12 928 | 57.1% | 71.4% | |
| 50.00% | 14 | 4.1 | 632 | 10 470 | 50.0% | 50.0% | |
| 30.77% | 13 | 5.5 | 571 | 7240 | 20.0% | 66.7% | |
| 61.54% | 13 | 4.1 | 885 | 14 900 | 80.0% | 50.0% | |
| 41.67% | 12 | 1.7 | 661 | 11 837 | 42.9% | 40.0% | |
| 58.33% | 12 | 3.9 | 727 | 12 556 | 60.0% | 57.1% | |
| 81.82% | 11 | 1.2 | 880 | 14 013 | 100.0% | 66.7% | |
| 45.45% | 11 | 5.6 | 870 | 11 803 | 20.0% | 66.7% | |
| 54.55% | 11 | 1.4 | 780 | 14 640 | 33.3% | 62.5% | |
| 72.73% | 11 | 3.6 | 985 | 12 784 | 100.0% | 50.0% | |
| 27.27% | 11 | 5.5 | 739 | 10 752 | 33.3% | 20.0% | |
| 50.00% | 10 | 4.5 | 717 | 10 597 | 60.0% | 40.0% | |
| 40.00% | 10 | 0.9 | 674 | 12 769 | 0.0% | 57.1% | |
| 60.00% | 10 | 2.4 | 801 | 11 601 | 40.0% | 80.0% | |
| 40.00% | 10 | 5.9 | 824 | 14 566 | 50.0% | 33.3% | |
| 60.00% | 10 | 2.4 | 801 | 12 271 | 33.3% | 100.0% | |
| 55.56% | 9 | 5.8 | 883 | 13 422 | 40.0% | 75.0% | |
| 62.50% | 8 | 1.8 | 849 | 13 795 | 60.0% | 66.7% | |
| 75.00% | 8 | 4.6 | 988 | 15 888 | 0.0% | 85.7% | |
| 37.50% | 8 | 4.3 | 612 | 9989 | 0.0% | 100.0% | |
| 50.00% | 8 | 6.0 | 946 | 12 416 | 20.0% | 100.0% | |
| 62.50% | 8 | 4.5 | 837 | 12 777 | 60.0% | 66.7% | |
| 75.00% | 8 | 2.4 | 972 | 11 412 | 60.0% | 100.0% | |
| 62.50% | 8 | 5.0 | 876 | 12 152 | 83.3% | 0.0% | |
| 37.50% | 8 | 2.7 | 921 | 15 725 | 50.0% | 33.3% | |
| 50.00% | 8 | 1.8 | 906 | 12 731 | 66.7% | 40.0% | |
| 37.50% | 8 | 3.8 | 926 | 14 281 | 0.0% | 50.0% | |
| 62.50% | 8 | 5.5 | 995 | 13 022 | 33.3% | 80.0% | |
| 28.57% | 7 | 5.4 | 615 | 10 100 | 0.0% | 66.7% | |
| 57.14% | 7 | 2.0 | 624 | 11 451 | 40.0% | 100.0% | |
| 42.86% | 7 | 5.9 | 899 | 14 042 | 33.3% | 50.0% | |
| 100.00% | 7 | 5.2 | 926 | 15 729 | 100.0% | 100.0% | |
| 57.14% | 7 | 5.8 | 810 | 12 161 | 66.7% | 50.0% | |
| 66.67% | 6 | 3.1 | 834 | 13 662 | 100.0% | 60.0% | |
| 100.00% | 6 | 3.0 | 888 | 12 310 | 100.0% | 100.0% | |
| 66.67% | 6 | 3.1 | 573 | 10 594 | 66.7% | 0.0% | |
| 50.00% | 6 | 6.1 | 932 | 15 300 | 100.0% | 40.0% | |
| 66.67% | 6 | 5.7 | 810 | 11 314 | 66.7% | 0.0% | |
| 33.33% | 6 | 5.3 | 1081 | 13 488 | 50.0% | 25.0% | |
| 50.00% | 6 | 3.7 | 939 | 14 229 | 66.7% | 33.3% | |
| 33.33% | 6 | 4.7 | 1173 | 12 484 | 0.0% | 50.0% | |
| 40.00% | 5 | 4.8 | 712 | 9063 | 50.0% | 33.3% | |
| 40.00% | 5 | 3.5 | 692 | 11 540 | 50.0% | 33.3% | |
| 60.00% | 5 | 6.1 | 837 | 13 707 | 100.0% | 50.0% | |
| 80.00% | 5 | 6.1 | 855 | 12 146 | 50.0% | 100.0% | |
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Matchupy Ekko - Czesto zadawane pytania
Jakie sa najlepsze matchupy Ekko w League of Legends?
Najlepsze matchupy Ekko w patchu 26.16 to Kayn, Sylas, and Zed. 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 Annie, Jhin, and Vel'Koz. 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 Kayn, Sylas, and Zed w patchu 26.16. 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?
Annie, Jhin, and Vel'Koz kontruja Ekko na linii w patchu 26.16. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Ekko. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.
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