VayneMatchupy
Dane matchupów Vayne dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Vayne. Dowiedz się kogo Vayne pokonuje i komu przegrywa na linii.
Vayne Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Vayne 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 Vayne dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Vayne, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Vayne, 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 |
|---|---|---|---|---|---|---|---|
| 42.57% | 902 | 6.1 | 862 | 13,159 | 45.4% | 40.7% | |
| 47.55% | 652 | 6.0 | 795 | 12,934 | 47.6% | 47.5% | |
| 47.46% | 649 | 6.0 | 827 | 12,963 | 46.2% | 48.5% | |
| 53.24% | 524 | 6.2 | 864 | 13,239 | 51.5% | 54.6% | |
| 53.92% | 523 | 6.0 | 866 | 13,339 | 51.2% | 55.8% | |
| 51.67% | 478 | 5.7 | 782 | 12,804 | 49.3% | 53.4% | |
| 55.50% | 418 | 6.2 | 868 | 13,218 | 55.1% | 55.8% | |
| 56.96% | 316 | 6.3 | 914 | 13,847 | 52.2% | 60.6% | |
| 54.13% | 218 | 6.1 | 870 | 12,968 | 48.5% | 59.1% | |
| 51.40% | 214 | 6.1 | 809 | 12,472 | 46.1% | 56.3% | |
| 46.63% | 208 | 5.8 | 779 | 12,886 | 44.3% | 48.6% | |
| 48.95% | 190 | 6.0 | 826 | 13,009 | 55.6% | 44.0% | |
| 56.45% | 186 | 6.5 | 960 | 12,449 | 54.8% | 57.8% | |
| 46.95% | 164 | 6.0 | 841 | 12,385 | 44.3% | 49.4% | |
| 49.08% | 163 | 6.2 | 771 | 12,958 | 47.4% | 50.6% | |
| 40.25% | 159 | 5.5 | 628 | 11,029 | 29.2% | 47.9% | |
| 52.29% | 153 | 5.9 | 777 | 12,734 | 38.8% | 62.8% | |
| 42.38% | 151 | 6.0 | 810 | 13,180 | 41.3% | 43.2% | |
| 53.79% | 145 | 6.1 | 919 | 12,092 | 49.1% | 56.5% | |
| 48.25% | 143 | 6.5 | 857 | 13,080 | 46.3% | 50.0% | |
| 50.72% | 138 | 6.1 | 900 | 11,758 | 48.2% | 52.4% | |
| 35.94% | 128 | 5.5 | 587 | 10,695 | 26.9% | 42.1% | |
| 49.59% | 123 | 6.2 | 824 | 13,174 | 50.0% | 49.3% | |
| 48.25% | 114 | 5.9 | 826 | 13,548 | 42.9% | 51.4% | |
| 50.88% | 114 | 6.2 | 864 | 13,175 | 52.3% | 50.0% | |
| 47.71% | 109 | 6.2 | 907 | 12,975 | 46.9% | 48.3% | |
| 47.71% | 109 | 5.9 | 912 | 11,611 | 47.1% | 48.3% | |
| 56.00% | 100 | 5.8 | 832 | 12,205 | 54.5% | 57.1% | |
| 53.41% | 88 | 6.6 | 1,115 | 13,107 | 44.1% | 59.3% | |
| 45.12% | 82 | 6.3 | 1,314 | 12,129 | 38.9% | 50.0% | |
| 51.25% | 80 | 5.6 | 878 | 11,601 | 46.0% | 55.8% | |
| 51.28% | 78 | 6.0 | 766 | 10,531 | 51.5% | 51.1% | |
| 50.00% | 72 | 6.5 | 1,006 | 11,957 | 58.3% | 41.7% | |
| 45.83% | 72 | 6.1 | 951 | 12,082 | 38.5% | 50.0% | |
| 60.87% | 69 | 6.6 | 886 | 11,870 | 54.3% | 67.7% | |
| 47.06% | 68 | 6.0 | 867 | 11,811 | 50.0% | 45.2% | |
| 45.59% | 68 | 6.2 | 1,027 | 12,849 | 59.1% | 39.1% | |
| 55.22% | 67 | 5.8 | 1,065 | 12,239 | 57.1% | 53.9% | |
| 50.77% | 65 | 6.0 | 959 | 11,776 | 43.8% | 57.6% | |
| 41.67% | 60 | 6.3 | 720 | 11,477 | 42.4% | 40.7% | |
| 58.33% | 60 | 6.2 | 862 | 12,626 | 50.0% | 63.9% | |
| 47.27% | 55 | 6.1 | 835 | 13,196 | 56.3% | 43.6% | |
| 55.56% | 54 | 6.8 | 853 | 11,692 | 57.1% | 53.9% | |
| 53.70% | 54 | 6.0 | 989 | 11,704 | 57.1% | 50.0% | |
| 57.41% | 54 | 6.4 | 829 | 12,959 | 62.5% | 53.3% | |
| 50.00% | 54 | 6.0 | 902 | 13,301 | 47.8% | 51.6% | |
| 54.72% | 53 | 6.3 | 841 | 13,161 | 62.5% | 48.3% | |
| 51.92% | 52 | 6.0 | 947 | 10,873 | 60.9% | 44.8% | |
| 49.02% | 51 | 5.8 | 853 | 12,491 | 50.0% | 48.5% | |
| 50.98% | 51 | 6.1 | 871 | 11,723 | 48.0% | 53.9% | |
| 54.00% | 50 | 5.5 | 855 | 12,570 | 38.9% | 62.5% | |
| 60.00% | 45 | 6.5 | 974 | 11,856 | 55.0% | 64.0% | |
| 39.53% | 43 | 5.5 | 680 | 10,790 | 29.4% | 46.1% | |
| 57.14% | 42 | 6.5 | 746 | 12,647 | 66.7% | 51.9% | |
| 53.66% | 41 | 6.3 | 905 | 12,916 | 46.7% | 57.7% | |
| 65.00% | 40 | 6.4 | 864 | 13,148 | 57.1% | 73.7% | |
| 43.59% | 39 | 6.1 | 930 | 12,149 | 37.5% | 47.8% | |
| 58.97% | 39 | 5.8 | 944 | 13,881 | 61.5% | 57.7% | |
| 57.89% | 38 | 6.4 | 894 | 11,761 | 47.6% | 70.6% | |
| 48.65% | 37 | 6.3 | 1,039 | 11,943 | 64.3% | 39.1% | |
| 43.24% | 37 | 6.0 | 696 | 12,382 | 33.3% | 52.6% | |
| 52.78% | 36 | 4.7 | 861 | 11,582 | 50.0% | 55.6% | |
| 36.11% | 36 | 5.5 | 776 | 13,017 | 36.4% | 36.0% | |
| 38.24% | 34 | 5.9 | 766 | 12,101 | 42.9% | 35.0% | |
| 61.76% | 34 | 6.0 | 743 | 12,051 | 60.0% | 63.2% | |
| 48.48% | 33 | 5.1 | 964 | 13,575 | 37.5% | 52.0% | |
| 60.61% | 33 | 5.8 | 803 | 12,592 | 75.0% | 47.1% | |
| 53.13% | 32 | 6.4 | 927 | 14,759 | 45.5% | 57.1% | |
| 53.13% | 32 | 6.0 | 879 | 11,410 | 57.1% | 50.0% | |
| 43.75% | 32 | 6.3 | 932 | 12,090 | 40.0% | 50.0% | |
| 58.06% | 31 | 6.8 | 1,006 | 11,806 | 58.8% | 57.1% | |
| 53.33% | 30 | 6.2 | 889 | 10,264 | 42.1% | 72.7% | |
| 55.17% | 29 | 4.5 | 822 | 12,083 | 50.0% | 58.8% | |
| 64.29% | 28 | 6.4 | 856 | 13,460 | 60.0% | 66.7% | |
| 55.56% | 27 | 5.2 | 819 | 12,065 | 46.1% | 64.3% | |
| 30.77% | 26 | 6.0 | 750 | 11,722 | 28.6% | 33.3% | |
| 52.00% | 25 | 6.6 | 850 | 12,395 | 42.9% | 55.6% | |
| 48.00% | 25 | 4.3 | 670 | 11,232 | 50.0% | 46.1% | |
| 50.00% | 24 | 5.7 | 788 | 11,087 | 30.0% | 64.3% | |
| 33.33% | 24 | 6.1 | 949 | 13,342 | 40.0% | 31.6% | |
| 54.17% | 24 | 5.7 | 817 | 10,538 | 46.1% | 63.6% | |
| 47.83% | 23 | 5.9 | 818 | 14,100 | 16.7% | 58.8% | |
| 40.91% | 22 | 6.5 | 1,045 | 11,989 | 30.0% | 50.0% | |
| 54.55% | 22 | 6.1 | 885 | 14,120 | 44.4% | 61.5% | |
| 57.14% | 21 | 6.3 | 903 | 11,389 | 72.7% | 40.0% | |
| 30.00% | 20 | 6.2 | 665 | 10,191 | 41.7% | 12.5% | |
| 52.63% | 19 | 5.2 | 663 | 10,268 | 40.0% | 66.7% | |
| 55.56% | 18 | 6.2 | 678 | 11,857 | 50.0% | 60.0% | |
| 52.94% | 17 | 2.6 | 969 | 13,485 | 50.0% | 55.6% | |
| 52.94% | 17 | 6.6 | 1,024 | 12,337 | 57.1% | 50.0% | |
| 37.50% | 16 | 5.8 | 675 | 11,257 | 20.0% | 45.5% | |
| 43.75% | 16 | 6.3 | 847 | 11,933 | 44.4% | 42.9% | |
| 33.33% | 15 | 2.9 | 700 | 12,041 | 33.3% | 33.3% | |
| 53.33% | 15 | 6.6 | 741 | 11,926 | 42.9% | 62.5% | |
| 46.67% | 15 | 5.8 | 793 | 11,093 | 28.6% | 62.5% | |
| 50.00% | 14 | 5.8 | 888 | 12,431 | 0.0% | 70.0% | |
| 71.43% | 14 | 3.6 | 931 | 13,320 | 57.1% | 85.7% | |
| 50.00% | 14 | 6.7 | 1,107 | 14,474 | 75.0% | 40.0% | |
| 28.57% | 14 | 7.0 | 838 | 13,133 | 28.6% | 28.6% | |
| 53.85% | 13 | 6.0 | 940 | 11,494 | 66.7% | 42.9% | |
| 38.46% | 13 | 6.2 | 986 | 13,775 | 33.3% | 40.0% | |
| 33.33% | 12 | 2.7 | 556 | 8,362 | 22.2% | 66.7% | |
| 33.33% | 12 | 4.3 | 630 | 10,805 | 50.0% | 25.0% | |
| 58.33% | 12 | 5.5 | 1,099 | 13,900 | 50.0% | 60.0% | |
| 36.36% | 11 | 3.8 | 708 | 14,048 | 20.0% | 50.0% | |
| 40.00% | 10 | 3.9 | 1,024 | 13,923 | 40.0% | 40.0% | |
| 90.00% | 10 | 5.5 | 860 | 13,857 | 100.0% | 85.7% | |
| 40.00% | 10 | 4.7 | 598 | 12,295 | 0.0% | 40.0% | |
| 40.00% | 10 | 5.7 | 1,088 | 10,659 | 40.0% | 40.0% | |
| 22.22% | 9 | 6.2 | 979 | 11,055 | 50.0% | 0.0% | |
| 37.50% | 8 | 5.6 | 736 | 14,317 | 0.0% | 37.5% | |
| 37.50% | 8 | 4.8 | 660 | 12,163 | 33.3% | 40.0% | |
| 50.00% | 8 | 2.0 | 729 | 12,933 | 50.0% | 50.0% | |
| 25.00% | 8 | 5.7 | 998 | 11,773 | 50.0% | 0.0% | |
| 50.00% | 8 | 4.6 | 872 | 13,401 | 66.7% | 40.0% | |
| 71.43% | 7 | 3.8 | 620 | 13,244 | 50.0% | 100.0% | |
| 28.57% | 7 | 5.0 | 893 | 14,247 | 33.3% | 25.0% | |
| 57.14% | 7 | 4.2 | 739 | 11,982 | 66.7% | 50.0% | |
| 28.57% | 7 | 3.3 | 688 | 10,253 | 0.0% | 40.0% | |
| 66.67% | 6 | 5.5 | 704 | 12,762 | 66.7% | 66.7% | |
| 33.33% | 6 | 5.6 | 648 | 9,334 | 40.0% | 0.0% | |
| 33.33% | 6 | 5.1 | 739 | 8,933 | 50.0% | 0.0% | |
| 33.33% | 6 | 6.6 | 678 | 9,215 | 33.3% | 33.3% | |
| 83.33% | 6 | 5.7 | 1,023 | 14,239 | 100.0% | 80.0% | |
| 33.33% | 6 | 3.6 | 795 | 11,501 | 33.3% | 33.3% | |
| 80.00% | 5 | 1.3 | 867 | 14,383 | 66.7% | 100.0% | |
| 60.00% | 5 | 2.6 | 842 | 12,656 | 50.0% | 66.7% | |
| 80.00% | 5 | 4.7 | 974 | 16,675 | 0.0% | 80.0% | |
| 40.00% | 5 | 6.5 | 1,084 | 12,399 | 33.3% | 50.0% | |
| 20.00% | 5 | 0.9 | 685 | 14,579 | 0.0% | 25.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Vayne - Czesto zadawane pytania
Jakie sa najlepsze matchupy Vayne w League of Legends?
Najlepsze matchupy Vayne w patchu 26.10 to Smolder, Caitlyn, and Ashe. Vayne 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 Vayne?
Najgorsze matchupy Vayne to Kha'Zix, Galio, and Maokai. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Vayne i moga wykorzystac slabosci Vayne na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Vayne?
Mozesz sprawdzic dane matchupow Vayne 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 Vayne.
Kogo kontruje Vayne w League of Legends?
Vayne kontruje Smolder, Caitlyn, and Ashe w patchu 26.10. To sa najbardziej korzystne matchupy Vayne, gdzie Vayne ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Vayne w szczegolach.
Kto kontruje Vayne na linii?
Kha'Zix, Galio, and Maokai kontruja Vayne na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Vayne. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.