KennenMatchupy
Dane matchupów Kennen dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Kennen. Dowiedz się kogo Kennen pokonuje i komu przegrywa na linii.
Kennen Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Kennen 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 Kennen dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Kennen, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Kennen, 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 |
|---|---|---|---|---|---|---|---|
| 52.44% | 82 | 6.5 | 822 | 12,642 | 79.2% | 41.4% | |
| 44.00% | 50 | 6.1 | 1,063 | 13,015 | 50.0% | 42.1% | |
| 60.00% | 40 | 6.5 | 941 | 11,124 | 52.2% | 70.6% | |
| 52.63% | 38 | 5.8 | 693 | 9,625 | 55.6% | 50.0% | |
| 37.84% | 37 | 5.7 | 832 | 9,955 | 53.9% | 29.2% | |
| 57.58% | 33 | 6.0 | 845 | 12,321 | 54.5% | 59.1% | |
| 56.25% | 32 | 5.8 | 930 | 11,488 | 60.0% | 52.9% | |
| 53.13% | 32 | 6.2 | 1,061 | 10,756 | 57.1% | 50.0% | |
| 38.71% | 31 | 6.0 | 952 | 10,907 | 40.0% | 37.5% | |
| 41.94% | 31 | 6.3 | 890 | 10,619 | 46.1% | 38.9% | |
| 37.93% | 29 | 6.7 | 1,002 | 12,072 | 50.0% | 33.3% | |
| 41.38% | 29 | 5.8 | 844 | 10,914 | 30.8% | 50.0% | |
| 53.57% | 28 | 6.4 | 1,022 | 13,075 | 55.6% | 52.6% | |
| 40.00% | 25 | 6.0 | 934 | 11,749 | 25.0% | 53.9% | |
| 36.00% | 25 | 6.1 | 812 | 10,111 | 25.0% | 46.1% | |
| 52.00% | 25 | 6.0 | 835 | 11,768 | 75.0% | 47.6% | |
| 54.17% | 24 | 6.1 | 843 | 12,113 | 77.8% | 40.0% | |
| 58.33% | 24 | 6.3 | 914 | 11,654 | 50.0% | 64.3% | |
| 65.22% | 23 | 6.2 | 858 | 11,235 | 61.5% | 70.0% | |
| 39.13% | 23 | 6.2 | 719 | 11,597 | 40.0% | 38.5% | |
| 52.17% | 23 | 6.8 | 756 | 11,358 | 46.1% | 60.0% | |
| 66.67% | 21 | 6.4 | 793 | 11,512 | 81.8% | 50.0% | |
| 52.38% | 21 | 6.0 | 848 | 11,303 | 40.0% | 63.6% | |
| 52.38% | 21 | 5.5 | 894 | 11,175 | 66.7% | 46.7% | |
| 45.00% | 20 | 4.7 | 792 | 11,045 | 40.0% | 50.0% | |
| 52.63% | 19 | 7.2 | 759 | 11,650 | 42.9% | 58.3% | |
| 57.89% | 19 | 5.9 | 933 | 12,188 | 75.0% | 45.5% | |
| 57.89% | 19 | 5.5 | 1,004 | 13,323 | 40.0% | 64.3% | |
| 47.37% | 19 | 6.2 | 758 | 10,256 | 22.2% | 70.0% | |
| 38.89% | 18 | 6.1 | 925 | 10,692 | 22.2% | 55.6% | |
| 44.44% | 18 | 6.0 | 839 | 10,258 | 50.0% | 37.5% | |
| 37.50% | 16 | 6.0 | 1,038 | 12,198 | 33.3% | 40.0% | |
| 68.75% | 16 | 6.6 | 932 | 12,044 | 70.0% | 66.7% | |
| 31.25% | 16 | 6.7 | 933 | 11,440 | 22.2% | 42.9% | |
| 40.00% | 15 | 5.9 | 883 | 12,948 | 20.0% | 50.0% | |
| 46.67% | 15 | 5.8 | 851 | 11,221 | 50.0% | 45.5% | |
| 42.86% | 14 | 6.0 | 765 | 9,624 | 37.5% | 50.0% | |
| 38.46% | 13 | 5.6 | 807 | 10,898 | 50.0% | 20.0% | |
| 46.15% | 13 | 7.1 | 1,023 | 14,023 | 20.0% | 62.5% | |
| 46.15% | 13 | 6.6 | 917 | 10,077 | 55.6% | 25.0% | |
| 30.77% | 13 | 5.7 | 670 | 10,405 | 33.3% | 28.6% | |
| 50.00% | 12 | 6.3 | 884 | 11,368 | 100.0% | 33.3% | |
| 54.55% | 11 | 5.9 | 622 | 10,190 | 71.4% | 25.0% | |
| 63.64% | 11 | 6.5 | 836 | 11,964 | 60.0% | 66.7% | |
| 63.64% | 11 | 5.5 | 836 | 12,740 | 0.0% | 70.0% | |
| 18.18% | 11 | 6.4 | 681 | 12,979 | 0.0% | 25.0% | |
| 36.36% | 11 | 6.2 | 522 | 8,553 | 16.7% | 60.0% | |
| 45.45% | 11 | 6.1 | 727 | 10,907 | 40.0% | 50.0% | |
| 60.00% | 10 | 6.0 | 1,024 | 10,424 | 40.0% | 80.0% | |
| 50.00% | 10 | 6.7 | 1,041 | 13,377 | 33.3% | 75.0% | |
| 60.00% | 10 | 6.6 | 854 | 11,626 | 40.0% | 80.0% | |
| 50.00% | 10 | 5.3 | 923 | 11,736 | 50.0% | 50.0% | |
| 40.00% | 10 | 5.7 | 677 | 10,147 | 20.0% | 60.0% | |
| 60.00% | 10 | 6.7 | 919 | 9,936 | 40.0% | 80.0% | |
| 40.00% | 10 | 3.6 | 718 | 8,956 | 0.0% | 50.0% | |
| 44.44% | 9 | 5.6 | 917 | 8,352 | 40.0% | 50.0% | |
| 55.56% | 9 | 6.0 | 745 | 12,290 | 100.0% | 42.9% | |
| 33.33% | 9 | 6.5 | 990 | 12,036 | 50.0% | 20.0% | |
| 22.22% | 9 | 6.4 | 1,009 | 13,168 | 25.0% | 20.0% | |
| 44.44% | 9 | 5.8 | 917 | 12,326 | 0.0% | 50.0% | |
| 66.67% | 9 | 6.3 | 840 | 10,971 | 66.7% | 66.7% | |
| 25.00% | 8 | 6.0 | 818 | 13,244 | 0.0% | 28.6% | |
| 62.50% | 8 | 6.2 | 854 | 12,523 | 50.0% | 66.7% | |
| 50.00% | 8 | 6.2 | 690 | 11,986 | 100.0% | 33.3% | |
| 62.50% | 8 | 6.8 | 767 | 10,952 | 50.0% | 66.7% | |
| 87.50% | 8 | 4.5 | 711 | 8,483 | 100.0% | 75.0% | |
| 25.00% | 8 | 6.2 | 778 | 14,284 | 33.3% | 20.0% | |
| 25.00% | 8 | 6.4 | 795 | 10,762 | 0.0% | 28.6% | |
| 25.00% | 8 | 5.3 | 709 | 11,213 | 33.3% | 20.0% | |
| 37.50% | 8 | 5.5 | 815 | 13,951 | 33.3% | 40.0% | |
| 28.57% | 7 | 5.2 | 1,031 | 11,589 | 0.0% | 50.0% | |
| 14.29% | 7 | 2.8 | 900 | 9,838 | 25.0% | 0.0% | |
| 42.86% | 7 | 5.9 | 1,077 | 14,097 | 0.0% | 50.0% | |
| 57.14% | 7 | 5.2 | 872 | 10,506 | 60.0% | 50.0% | |
| 71.43% | 7 | 6.3 | 935 | 14,656 | 100.0% | 60.0% | |
| 16.67% | 6 | 1.7 | 683 | 10,155 | 0.0% | 25.0% | |
| 83.33% | 6 | 5.3 | 1,066 | 14,519 | 100.0% | 80.0% | |
| 50.00% | 6 | 6.0 | 866 | 11,673 | 50.0% | 50.0% | |
| 16.67% | 6 | 2.3 | 623 | 9,014 | 0.0% | 25.0% | |
| 33.33% | 6 | 6.7 | 1,014 | 11,202 | 50.0% | 0.0% | |
| 33.33% | 6 | 6.0 | 1,088 | 12,027 | 25.0% | 50.0% | |
| 33.33% | 6 | 5.8 | 823 | 10,026 | 40.0% | 0.0% | |
| 20.00% | 5 | 5.2 | 654 | 6,754 | 20.0% | 0.0% | |
| 80.00% | 5 | 1.7 | 844 | 11,197 | 100.0% | 75.0% | |
| 60.00% | 5 | 4.8 | 967 | 9,903 | 33.3% | 100.0% | |
| 20.00% | 5 | 6.6 | 680 | 11,922 | 100.0% | 0.0% | |
| 40.00% | 5 | 2.6 | 877 | 11,412 | 0.0% | 50.0% | |
| 20.00% | 5 | 4.8 | 955 | 11,656 | 33.3% | 0.0% | |
| 60.00% | 5 | 5.1 | 1,020 | 9,733 | 66.7% | 50.0% | |
| 20.00% | 5 | 3.9 | 879 | 11,585 | 0.0% | 33.3% | |
| 60.00% | 5 | 6.3 | 984 | 11,958 | 66.7% | 50.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Kennen - Czesto zadawane pytania
Jakie sa najlepsze matchupy Kennen w League of Legends?
Najlepsze matchupy Kennen w patchu 26.10 to Teemo, Sett, and Garen. Kennen 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 Kennen?
Najgorsze matchupy Kennen to Seraphine, Nami, and Senna. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Kennen i moga wykorzystac slabosci Kennen na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Kennen?
Mozesz sprawdzic dane matchupow Kennen 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 Kennen.
Kogo kontruje Kennen w League of Legends?
Kennen kontruje Teemo, Sett, and Garen w patchu 26.10. To sa najbardziej korzystne matchupy Kennen, gdzie Kennen ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Kennen w szczegolach.
Kto kontruje Kennen na linii?
Seraphine, Nami, and Senna kontruja Kennen na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Kennen. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.