TwitchMatchupy
Dane matchupów Twitch dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Twitch. Dowiedz się kogo Twitch pokonuje i komu przegrywa na linii.
Twitch Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Twitch 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 Twitch dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Twitch, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Twitch, 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 |
|---|---|---|---|---|---|---|---|
| 51.68% | 805 | 5.8 | 1,012 | 14,103 | 53.9% | 50.0% | |
| 49.43% | 528 | 5.7 | 914 | 13,763 | 45.1% | 52.9% | |
| 50.67% | 524 | 5.7 | 888 | 13,291 | 49.0% | 52.1% | |
| 45.60% | 432 | 5.8 | 943 | 13,773 | 39.7% | 50.6% | |
| 55.24% | 382 | 5.5 | 944 | 13,724 | 47.3% | 61.5% | |
| 48.01% | 352 | 5.8 | 906 | 13,410 | 42.0% | 52.8% | |
| 52.97% | 219 | 5.7 | 986 | 13,808 | 44.8% | 59.4% | |
| 44.70% | 217 | 5.9 | 922 | 13,837 | 42.7% | 46.3% | |
| 53.93% | 191 | 5.9 | 1,010 | 14,475 | 57.3% | 51.4% | |
| 46.84% | 158 | 5.7 | 940 | 13,788 | 24.6% | 64.0% | |
| 49.64% | 137 | 5.7 | 917 | 13,718 | 55.4% | 44.4% | |
| 56.62% | 136 | 5.8 | 989 | 14,180 | 58.0% | 55.8% | |
| 60.61% | 132 | 5.8 | 910 | 13,347 | 53.5% | 66.2% | |
| 54.55% | 110 | 5.8 | 976 | 14,028 | 50.0% | 58.9% | |
| 52.34% | 107 | 5.8 | 906 | 13,256 | 50.0% | 54.5% | |
| 48.54% | 103 | 5.4 | 941 | 13,987 | 50.0% | 47.6% | |
| 53.33% | 90 | 6.1 | 991 | 14,507 | 59.5% | 49.1% | |
| 45.57% | 79 | 5.3 | 868 | 12,682 | 42.1% | 48.8% | |
| 47.44% | 78 | 5.4 | 947 | 13,134 | 44.7% | 50.0% | |
| 50.00% | 70 | 6.0 | 1,022 | 14,648 | 51.9% | 48.8% | |
| 51.47% | 68 | 5.9 | 983 | 13,908 | 46.4% | 55.0% | |
| 58.82% | 51 | 6.0 | 912 | 14,124 | 63.6% | 55.2% | |
| 54.00% | 50 | 4.7 | 838 | 13,242 | 50.0% | 57.1% | |
| 52.17% | 46 | 5.7 | 968 | 14,323 | 57.1% | 48.0% | |
| 48.89% | 45 | 3.7 | 962 | 13,824 | 61.1% | 40.7% | |
| 48.84% | 43 | 5.8 | 938 | 13,792 | 27.8% | 64.0% | |
| 52.38% | 42 | 5.7 | 891 | 14,365 | 28.6% | 64.3% | |
| 57.50% | 40 | 5.7 | 999 | 14,887 | 41.7% | 64.3% | |
| 50.00% | 36 | 6.3 | 911 | 12,992 | 43.8% | 55.0% | |
| 41.67% | 36 | 5.5 | 1,237 | 14,818 | 40.0% | 42.9% | |
| 48.48% | 33 | 5.5 | 992 | 13,852 | 40.0% | 55.6% | |
| 60.61% | 33 | 5.5 | 747 | 11,847 | 52.6% | 71.4% | |
| 60.00% | 25 | 6.0 | 940 | 15,307 | 66.7% | 56.3% | |
| 50.00% | 22 | 5.7 | 1,100 | 15,788 | 50.0% | 50.0% | |
| 52.38% | 21 | 4.5 | 967 | 13,616 | 40.0% | 56.3% | |
| 52.38% | 21 | 5.0 | 947 | 13,235 | 44.4% | 58.3% | |
| 36.84% | 19 | 4.8 | 886 | 14,208 | 40.0% | 35.7% | |
| 47.37% | 19 | 5.6 | 988 | 15,253 | 60.0% | 42.9% | |
| 35.29% | 17 | 5.9 | 986 | 13,714 | 42.9% | 30.0% | |
| 37.50% | 16 | 6.0 | 916 | 13,014 | 36.4% | 40.0% | |
| 37.50% | 16 | 2.5 | 899 | 13,746 | 25.0% | 50.0% | |
| 50.00% | 14 | 5.6 | 980 | 13,794 | 40.0% | 55.6% | |
| 42.86% | 14 | 1.8 | 782 | 11,173 | 37.5% | 50.0% | |
| 41.67% | 12 | 1.2 | 692 | 10,943 | 42.9% | 40.0% | |
| 41.67% | 12 | 1.6 | 722 | 12,598 | 16.7% | 66.7% | |
| 75.00% | 12 | 3.1 | 975 | 13,624 | 40.0% | 100.0% | |
| 16.67% | 12 | 2.0 | 792 | 10,919 | 16.7% | 16.7% | |
| 72.73% | 11 | 5.3 | 1,023 | 13,289 | 100.0% | 57.1% | |
| 81.82% | 11 | 2.2 | 732 | 14,040 | 75.0% | 85.7% | |
| 63.64% | 11 | 1.6 | 822 | 13,271 | 75.0% | 57.1% | |
| 40.00% | 10 | 4.5 | 924 | 16,313 | 33.3% | 42.9% | |
| 30.00% | 10 | 5.5 | 844 | 13,636 | 50.0% | 25.0% | |
| 50.00% | 10 | 1.6 | 772 | 11,866 | 50.0% | 50.0% | |
| 50.00% | 10 | 2.2 | 922 | 13,570 | 50.0% | 50.0% | |
| 20.00% | 10 | 1.9 | 694 | 9,706 | 25.0% | 16.7% | |
| 70.00% | 10 | 3.1 | 752 | 13,065 | 50.0% | 83.3% | |
| 22.22% | 9 | 2.0 | 690 | 10,345 | 0.0% | 40.0% | |
| 44.44% | 9 | 3.3 | 684 | 10,916 | 50.0% | 40.0% | |
| 33.33% | 9 | 2.0 | 869 | 12,000 | 60.0% | 0.0% | |
| 66.67% | 9 | 5.5 | 938 | 10,973 | 50.0% | 80.0% | |
| 22.22% | 9 | 1.9 | 947 | 9,921 | 33.3% | 16.7% | |
| 66.67% | 9 | 5.1 | 824 | 13,153 | 75.0% | 60.0% | |
| 37.50% | 8 | 2.2 | 640 | 11,726 | 33.3% | 40.0% | |
| 37.50% | 8 | 1.4 | 674 | 12,213 | 0.0% | 50.0% | |
| 50.00% | 8 | 1.1 | 622 | 10,475 | 60.0% | 33.3% | |
| 37.50% | 8 | 2.5 | 882 | 13,781 | 0.0% | 60.0% | |
| 75.00% | 8 | 5.7 | 1,095 | 15,133 | 50.0% | 100.0% | |
| 62.50% | 8 | 1.6 | 908 | 11,952 | 60.0% | 66.7% | |
| 75.00% | 8 | 5.1 | 843 | 12,531 | 100.0% | 50.0% | |
| 50.00% | 8 | 1.1 | 835 | 8,742 | 33.3% | 100.0% | |
| 25.00% | 8 | 3.2 | 755 | 10,812 | 0.0% | 50.0% | |
| 42.86% | 7 | 2.2 | 756 | 13,643 | 0.0% | 42.9% | |
| 42.86% | 7 | 3.0 | 985 | 13,255 | 25.0% | 66.7% | |
| 42.86% | 7 | 3.3 | 1,012 | 14,310 | 33.3% | 50.0% | |
| 14.29% | 7 | 5.6 | 804 | 12,030 | 0.0% | 16.7% | |
| 42.86% | 7 | 6.9 | 932 | 14,765 | 33.3% | 50.0% | |
| 71.43% | 7 | 5.3 | 1,210 | 17,061 | 50.0% | 80.0% | |
| 28.57% | 7 | 1.6 | 738 | 12,952 | 25.0% | 33.3% | |
| 66.67% | 6 | 3.5 | 782 | 10,317 | 33.3% | 100.0% | |
| 16.67% | 6 | 5.5 | 1,003 | 12,862 | 50.0% | 0.0% | |
| 66.67% | 6 | 5.4 | 1,152 | 15,245 | 0.0% | 80.0% | |
| 66.67% | 6 | 2.2 | 855 | 12,212 | 100.0% | 60.0% | |
| 33.33% | 6 | 5.3 | 976 | 13,396 | 0.0% | 50.0% | |
| 50.00% | 6 | 5.6 | 845 | 11,655 | 33.3% | 66.7% | |
| 50.00% | 6 | 1.5 | 627 | 11,087 | 0.0% | 50.0% | |
| 83.33% | 6 | 6.2 | 1,048 | 16,875 | 66.7% | 100.0% | |
| 50.00% | 6 | 1.1 | 849 | 12,336 | 50.0% | 50.0% | |
| 100.00% | 5 | 6.0 | 910 | 11,181 | 100.0% | 100.0% | |
| 40.00% | 5 | 1.4 | 861 | 10,607 | 33.3% | 50.0% | |
| 60.00% | 5 | 1.7 | 1,008 | 8,580 | 33.3% | 100.0% | |
| 40.00% | 5 | 2.7 | 1,098 | 17,046 | 0.0% | 50.0% | |
| 40.00% | 5 | 4.8 | 1,545 | 21,470 | 0.0% | 40.0% | |
| 0.00% | 5 | 1.7 | 609 | 13,134 | 0.0% | 0.0% | |
| 20.00% | 5 | 5.5 | 709 | 10,183 | 33.3% | 0.0% | |
| 0.00% | 5 | 5.0 | 610 | 10,125 | 0.0% | 0.0% | |
| 80.00% | 5 | 3.5 | 708 | 13,091 | 50.0% | 100.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Twitch - Czesto zadawane pytania
Jakie sa najlepsze matchupy Twitch w League of Legends?
Najlepsze matchupy Twitch w patchu 26.10 to Smolder, Ashe, and Caitlyn. Twitch 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 Twitch?
Najgorsze matchupy Twitch to Rell, Cassiopeia, and Darius. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Twitch i moga wykorzystac slabosci Twitch na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Twitch?
Mozesz sprawdzic dane matchupow Twitch 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 Twitch.
Kogo kontruje Twitch w League of Legends?
Twitch kontruje Smolder, Ashe, and Caitlyn w patchu 26.10. To sa najbardziej korzystne matchupy Twitch, gdzie Twitch ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Twitch w szczegolach.
Kto kontruje Twitch na linii?
Rell, Cassiopeia, and Darius kontruja Twitch na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Twitch. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.