YasuoMatchupy
Dane matchupów Yasuo dla League of Legends patch 26.5. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Yasuo. Dowiedz się kogo Yasuo pokonuje i komu przegrywa na linii.
Yasuo Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Yasuo 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 Yasuo dla patcha 26.5 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Yasuo, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Yasuo, 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 |
|---|---|---|---|---|---|---|---|
| 44.59% | 74 | 7.1 | 837 | 11,872 | 47.2% | 42.1% | |
| 40.58% | 69 | 7.1 | 927 | 12,477 | 34.3% | 47.1% | |
| 61.90% | 63 | 6.9 | 956 | 12,521 | 61.3% | 62.5% | |
| 48.00% | 50 | 7.2 | 812 | 12,628 | 40.0% | 56.0% | |
| 44.90% | 49 | 6.9 | 788 | 12,967 | 60.0% | 38.2% | |
| 41.86% | 43 | 6.7 | 700 | 11,690 | 35.0% | 47.8% | |
| 58.14% | 43 | 7.0 | 831 | 11,556 | 66.7% | 50.0% | |
| 45.16% | 31 | 6.8 | 883 | 10,131 | 40.0% | 54.5% | |
| 60.00% | 30 | 6.7 | 849 | 13,352 | 75.0% | 54.5% | |
| 55.17% | 29 | 7.6 | 877 | 12,138 | 52.9% | 58.3% | |
| 42.31% | 26 | 7.2 | 754 | 13,056 | 30.0% | 50.0% | |
| 53.85% | 26 | 6.9 | 801 | 13,650 | 58.3% | 50.0% | |
| 36.00% | 25 | 7.2 | 861 | 12,828 | 50.0% | 29.4% | |
| 66.67% | 24 | 6.8 | 991 | 12,659 | 60.0% | 71.4% | |
| 41.67% | 24 | 6.9 | 797 | 13,472 | 30.0% | 50.0% | |
| 47.83% | 23 | 7.1 | 902 | 12,740 | 44.4% | 50.0% | |
| 47.83% | 23 | 7.3 | 839 | 12,059 | 58.3% | 36.4% | |
| 47.83% | 23 | 7.5 | 779 | 12,237 | 61.5% | 30.0% | |
| 30.43% | 23 | 6.7 | 895 | 14,697 | 22.2% | 35.7% | |
| 45.45% | 22 | 7.0 | 781 | 11,808 | 40.0% | 57.1% | |
| 57.14% | 21 | 7.3 | 1,009 | 14,965 | 80.0% | 50.0% | |
| 61.90% | 21 | 7.4 | 940 | 12,254 | 69.2% | 50.0% | |
| 57.14% | 21 | 7.7 | 968 | 12,923 | 40.0% | 72.7% | |
| 42.86% | 21 | 6.6 | 702 | 11,398 | 27.3% | 60.0% | |
| 60.00% | 20 | 6.8 | 745 | 11,650 | 58.3% | 62.5% | |
| 60.00% | 20 | 7.2 | 955 | 13,516 | 66.7% | 57.1% | |
| 55.00% | 20 | 7.0 | 902 | 12,336 | 50.0% | 60.0% | |
| 70.00% | 20 | 7.0 | 920 | 13,172 | 63.6% | 77.8% | |
| 42.11% | 19 | 6.7 | 815 | 12,202 | 66.7% | 20.0% | |
| 50.00% | 18 | 7.4 | 828 | 11,012 | 37.5% | 60.0% | |
| 50.00% | 18 | 7.0 | 939 | 12,176 | 50.0% | 50.0% | |
| 50.00% | 18 | 7.2 | 1,009 | 13,673 | 62.5% | 40.0% | |
| 58.82% | 17 | 6.8 | 985 | 14,970 | 85.7% | 40.0% | |
| 52.94% | 17 | 6.6 | 872 | 12,904 | 66.7% | 45.5% | |
| 41.18% | 17 | 7.3 | 666 | 10,852 | 40.0% | 42.9% | |
| 52.94% | 17 | 7.0 | 791 | 12,293 | 44.4% | 62.5% | |
| 43.75% | 16 | 7.2 | 840 | 11,310 | 44.4% | 42.9% | |
| 68.75% | 16 | 7.0 | 751 | 10,565 | 60.0% | 83.3% | |
| 31.25% | 16 | 6.8 | 848 | 12,289 | 14.3% | 44.4% | |
| 56.25% | 16 | 6.3 | 846 | 13,761 | 42.9% | 66.7% | |
| 53.33% | 15 | 7.4 | 775 | 11,661 | 60.0% | 40.0% | |
| 40.00% | 15 | 7.1 | 869 | 11,917 | 57.1% | 25.0% | |
| 35.71% | 14 | 6.0 | 819 | 13,134 | 66.7% | 27.3% | |
| 64.29% | 14 | 7.3 | 949 | 14,028 | 60.0% | 66.7% | |
| 71.43% | 14 | 7.0 | 825 | 13,119 | 71.4% | 71.4% | |
| 53.85% | 13 | 7.0 | 716 | 11,797 | 57.1% | 50.0% | |
| 53.85% | 13 | 7.2 | 810 | 13,336 | 33.3% | 71.4% | |
| 50.00% | 12 | 6.8 | 827 | 14,606 | 60.0% | 42.9% | |
| 41.67% | 12 | 6.8 | 860 | 12,261 | 28.6% | 60.0% | |
| 58.33% | 12 | 6.9 | 950 | 11,870 | 66.7% | 50.0% | |
| 36.36% | 11 | 6.6 | 836 | 11,378 | 75.0% | 14.3% | |
| 45.45% | 11 | 7.2 | 906 | 12,650 | 16.7% | 80.0% | |
| 54.55% | 11 | 7.8 | 1,000 | 11,462 | 50.0% | 66.7% | |
| 36.36% | 11 | 7.2 | 1,238 | 11,863 | 40.0% | 33.3% | |
| 54.55% | 11 | 7.9 | 855 | 13,644 | 50.0% | 60.0% | |
| 45.45% | 11 | 6.9 | 784 | 13,712 | 100.0% | 40.0% | |
| 45.45% | 11 | 6.3 | 804 | 12,538 | 40.0% | 50.0% | |
| 45.45% | 11 | 7.3 | 607 | 11,350 | 60.0% | 33.3% | |
| 50.00% | 10 | 7.7 | 730 | 9,887 | 40.0% | 60.0% | |
| 50.00% | 10 | 7.1 | 737 | 13,965 | 50.0% | 50.0% | |
| 40.00% | 10 | 6.9 | 893 | 12,630 | 25.0% | 50.0% | |
| 55.56% | 9 | 7.1 | 874 | 13,825 | 75.0% | 40.0% | |
| 33.33% | 9 | 6.0 | 685 | 10,634 | 40.0% | 25.0% | |
| 55.56% | 9 | 7.3 | 1,096 | 14,815 | 60.0% | 50.0% | |
| 66.67% | 9 | 7.6 | 906 | 11,598 | 75.0% | 0.0% | |
| 33.33% | 9 | 7.3 | 920 | 13,675 | 25.0% | 40.0% | |
| 22.22% | 9 | 7.8 | 738 | 10,857 | 33.3% | 0.0% | |
| 37.50% | 8 | 5.8 | 725 | 10,155 | 33.3% | 50.0% | |
| 75.00% | 8 | 7.4 | 936 | 14,161 | 50.0% | 83.3% | |
| 75.00% | 8 | 7.2 | 658 | 12,659 | 50.0% | 83.3% | |
| 37.50% | 8 | 7.7 | 931 | 11,472 | 25.0% | 50.0% | |
| 50.00% | 8 | 7.3 | 1,139 | 9,398 | 50.0% | 50.0% | |
| 57.14% | 7 | 8.0 | 995 | 12,009 | 80.0% | 0.0% | |
| 57.14% | 7 | 7.5 | 821 | 11,513 | 60.0% | 50.0% | |
| 57.14% | 7 | 7.7 | 828 | 12,554 | 75.0% | 33.3% | |
| 71.43% | 7 | 7.4 | 814 | 11,537 | 33.3% | 100.0% | |
| 14.29% | 7 | 7.0 | 737 | 11,978 | 0.0% | 25.0% | |
| 33.33% | 6 | 6.8 | 968 | 12,004 | 66.7% | 0.0% | |
| 16.67% | 6 | 7.8 | 571 | 9,931 | 25.0% | 0.0% | |
| 66.67% | 6 | 5.7 | 805 | 12,153 | 33.3% | 100.0% | |
| 50.00% | 6 | 7.2 | 745 | 9,167 | 100.0% | 0.0% | |
| 66.67% | 6 | 7.2 | 857 | 11,685 | 75.0% | 50.0% | |
| 83.33% | 6 | 7.9 | 856 | 12,847 | 100.0% | 80.0% | |
| 83.33% | 6 | 7.0 | 846 | 14,303 | 100.0% | 75.0% | |
| 50.00% | 6 | 6.3 | 752 | 11,799 | 0.0% | 60.0% | |
| 33.33% | 6 | 6.6 | 499 | 11,070 | 33.3% | 33.3% | |
| 40.00% | 5 | 7.8 | 766 | 11,759 | 50.0% | 0.0% | |
| 40.00% | 5 | 7.6 | 683 | 13,393 | 50.0% | 33.3% | |
| 0.00% | 5 | 5.6 | 585 | 10,568 | 0.0% | 0.0% | |
| 80.00% | 5 | 7.4 | 947 | 15,135 | 66.7% | 100.0% | |
| 40.00% | 5 | 7.9 | 912 | 13,553 | 100.0% | 25.0% | |
| 40.00% | 5 | 7.6 | 945 | 14,946 | 100.0% | 0.0% | |
| 100.00% | 5 | 7.5 | 930 | 13,501 | 100.0% | 100.0% | |
| 60.00% | 5 | 6.8 | 998 | 12,797 | 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 Yasuo - Czesto zadawane pytania
Jakie sa najlepsze matchupy Yasuo w League of Legends?
Najlepsze matchupy Yasuo w patchu 26.5 to Ahri, Yone, and Akali. Yasuo 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 Yasuo?
Najgorsze matchupy Yasuo to Graves, Urgot, and Xin Zhao. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Yasuo i moga wykorzystac slabosci Yasuo na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Yasuo?
Mozesz sprawdzic dane matchupow Yasuo 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 Yasuo.
Kogo kontruje Yasuo w League of Legends?
Yasuo kontruje Ahri, Yone, and Akali w patchu 26.5. To sa najbardziej korzystne matchupy Yasuo, gdzie Yasuo ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Yasuo w szczegolach.
Kto kontruje Yasuo na linii?
Graves, Urgot, and Xin Zhao kontruja Yasuo na linii w patchu 26.5. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Yasuo. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.