
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 |
|---|---|---|---|---|---|---|---|
| 53.49% | 86 | 6.4 | 868 | 12,992 | 58.3% | 51.6% | |
| 54.00% | 50 | 6.6 | 913 | 11,137 | 55.6% | 52.2% | |
| 39.58% | 48 | 6.0 | 987 | 12,140 | 50.0% | 35.3% | |
| 60.98% | 41 | 6.0 | 910 | 12,669 | 50.0% | 66.7% | |
| 41.03% | 39 | 5.8 | 800 | 9,429 | 42.1% | 40.0% | |
| 53.85% | 39 | 6.4 | 1,125 | 11,910 | 76.9% | 42.3% | |
| 40.54% | 37 | 5.8 | 955 | 10,765 | 43.8% | 38.1% | |
| 47.22% | 36 | 5.5 | 771 | 9,301 | 47.6% | 46.7% | |
| 38.89% | 36 | 5.9 | 913 | 11,332 | 37.5% | 40.0% | |
| 48.48% | 33 | 6.1 | 731 | 10,783 | 50.0% | 47.8% | |
| 54.55% | 33 | 6.3 | 1,015 | 13,176 | 54.5% | 54.5% | |
| 45.16% | 31 | 6.0 | 817 | 11,512 | 33.3% | 52.6% | |
| 56.67% | 30 | 5.9 | 873 | 11,834 | 69.2% | 47.1% | |
| 41.38% | 29 | 5.8 | 894 | 10,486 | 38.5% | 43.8% | |
| 62.96% | 27 | 6.3 | 894 | 10,482 | 63.6% | 62.5% | |
| 65.38% | 26 | 5.7 | 943 | 11,411 | 80.0% | 56.3% | |
| 52.00% | 25 | 6.9 | 1,009 | 12,762 | 44.4% | 56.3% | |
| 45.83% | 24 | 6.2 | 874 | 10,633 | 33.3% | 66.7% | |
| 60.87% | 23 | 6.2 | 737 | 11,822 | 58.3% | 63.6% | |
| 59.09% | 22 | 6.0 | 873 | 11,231 | 50.0% | 70.0% | |
| 31.82% | 22 | 6.4 | 751 | 12,559 | 37.5% | 28.6% | |
| 65.00% | 20 | 6.0 | 965 | 11,863 | 55.6% | 72.7% | |
| 36.84% | 19 | 5.8 | 824 | 10,891 | 33.3% | 40.0% | |
| 52.63% | 19 | 6.2 | 839 | 12,756 | 50.0% | 54.5% | |
| 15.79% | 19 | 6.0 | 905 | 10,432 | 10.0% | 22.2% | |
| 50.00% | 18 | 5.3 | 863 | 12,044 | 33.3% | 58.3% | |
| 44.44% | 18 | 6.7 | 882 | 11,849 | 50.0% | 33.3% | |
| 38.89% | 18 | 6.1 | 787 | 10,505 | 28.6% | 45.5% | |
| 58.82% | 17 | 6.4 | 881 | 11,155 | 87.5% | 33.3% | |
| 64.71% | 17 | 5.8 | 972 | 13,028 | 71.4% | 60.0% | |
| 31.25% | 16 | 5.8 | 940 | 10,613 | 50.0% | 12.5% | |
| 50.00% | 16 | 6.4 | 913 | 10,981 | 42.9% | 55.6% | |
| 43.75% | 16 | 5.5 | 711 | 10,964 | 42.9% | 44.4% | |
| 46.67% | 15 | 4.3 | 807 | 11,712 | 33.3% | 55.6% | |
| 46.67% | 15 | 7.0 | 821 | 11,830 | 40.0% | 50.0% | |
| 26.67% | 15 | 6.5 | 797 | 10,208 | 30.0% | 20.0% | |
| 26.67% | 15 | 5.6 | 758 | 10,693 | 12.5% | 42.9% | |
| 60.00% | 15 | 6.4 | 834 | 11,558 | 50.0% | 66.7% | |
| 46.67% | 15 | 6.5 | 742 | 10,838 | 33.3% | 55.6% | |
| 26.67% | 15 | 6.3 | 937 | 11,913 | 50.0% | 18.2% | |
| 35.71% | 14 | 6.4 | 851 | 10,673 | 28.6% | 42.9% | |
| 30.77% | 13 | 6.3 | 889 | 11,408 | 60.0% | 12.5% | |
| 53.85% | 13 | 6.0 | 1,032 | 10,145 | 57.1% | 50.0% | |
| 69.23% | 13 | 6.5 | 995 | 11,699 | 66.7% | 75.0% | |
| 33.33% | 12 | 6.1 | 1,030 | 13,602 | 50.0% | 25.0% | |
| 58.33% | 12 | 6.0 | 981 | 14,267 | 0.0% | 58.3% | |
| 58.33% | 12 | 6.5 | 723 | 11,231 | 57.1% | 60.0% | |
| 54.55% | 11 | 6.1 | 862 | 12,722 | 60.0% | 50.0% | |
| 63.64% | 11 | 6.4 | 1,098 | 14,243 | 50.0% | 71.4% | |
| 70.00% | 10 | 4.9 | 655 | 9,878 | 100.0% | 50.0% | |
| 10.00% | 10 | 5.8 | 703 | 10,383 | 20.0% | 0.0% | |
| 20.00% | 10 | 6.0 | 671 | 11,857 | 25.0% | 16.7% | |
| 66.67% | 9 | 6.7 | 769 | 10,967 | 33.3% | 83.3% | |
| 33.33% | 9 | 6.0 | 982 | 11,589 | 25.0% | 40.0% | |
| 22.22% | 9 | 6.6 | 742 | 13,314 | 0.0% | 28.6% | |
| 77.78% | 9 | 6.1 | 953 | 11,306 | 80.0% | 75.0% | |
| 50.00% | 8 | 5.3 | 697 | 10,003 | 50.0% | 50.0% | |
| 62.50% | 8 | 6.0 | 776 | 11,990 | 100.0% | 50.0% | |
| 25.00% | 8 | 6.1 | 988 | 12,651 | 25.0% | 25.0% | |
| 37.50% | 8 | 6.2 | 691 | 11,938 | 50.0% | 33.3% | |
| 25.00% | 8 | 1.8 | 693 | 10,218 | 0.0% | 40.0% | |
| 50.00% | 8 | 6.8 | 945 | 10,651 | 50.0% | 50.0% | |
| 62.50% | 8 | 4.3 | 959 | 9,189 | 33.3% | 80.0% | |
| 12.50% | 8 | 5.0 | 816 | 9,600 | 0.0% | 25.0% | |
| 42.86% | 7 | 6.4 | 878 | 8,585 | 66.7% | 25.0% | |
| 28.57% | 7 | 6.9 | 915 | 12,352 | 50.0% | 0.0% | |
| 57.14% | 7 | 5.1 | 963 | 11,219 | 50.0% | 60.0% | |
| 42.86% | 7 | 6.5 | 1,002 | 13,288 | 25.0% | 66.7% | |
| 42.86% | 7 | 4.0 | 771 | 10,863 | 0.0% | 75.0% | |
| 42.86% | 7 | 6.3 | 999 | 14,302 | 0.0% | 50.0% | |
| 14.29% | 7 | 2.3 | 564 | 10,149 | 0.0% | 20.0% | |
| 71.43% | 7 | 5.5 | 817 | 12,650 | 0.0% | 71.4% | |
| 42.86% | 7 | 6.8 | 963 | 17,232 | 100.0% | 20.0% | |
| 71.43% | 7 | 6.2 | 862 | 14,754 | 100.0% | 60.0% | |
| 57.14% | 7 | 5.8 | 784 | 10,858 | 66.7% | 50.0% | |
| 16.67% | 6 | 5.6 | 806 | 10,883 | 0.0% | 33.3% | |
| 50.00% | 6 | 5.8 | 811 | 11,248 | 50.0% | 50.0% | |
| 66.67% | 6 | 6.0 | 705 | 11,657 | 100.0% | 60.0% | |
| 50.00% | 6 | 4.1 | 738 | 12,238 | 66.7% | 33.3% | |
| 33.33% | 6 | 6.8 | 758 | 10,476 | 100.0% | 20.0% | |
| 16.67% | 6 | 6.9 | 877 | 10,025 | 25.0% | 0.0% | |
| 20.00% | 5 | 5.7 | 711 | 12,862 | 0.0% | 25.0% | |
| 0.00% | 5 | 5.6 | 664 | 9,000 | 0.0% | 0.0% | |
| 60.00% | 5 | 6.5 | 985 | 12,660 | 0.0% | 75.0% | |
| 60.00% | 5 | 2.4 | 839 | 12,104 | 0.0% | 75.0% | |
| 40.00% | 5 | 5.8 | 592 | 11,656 | 50.0% | 33.3% | |
| 60.00% | 5 | 5.3 | 794 | 10,461 | 50.0% | 100.0% | |
| 60.00% | 5 | 5.9 | 639 | 11,012 | 33.3% | 100.0% | |
| 60.00% | 5 | 7.1 | 448 | 9,844 | 50.0% | 66.7% | |
| 40.00% | 5 | 4.9 | 883 | 13,505 | 50.0% | 33.3% | |
| 20.00% | 5 | 5.3 | 759 | 9,317 | 0.0% | 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, Garen, and Sett. 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 Miss Fortune, Viktor, and Anivia. 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, Garen, and Sett 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?
Miss Fortune, Viktor, and Anivia 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.