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 |
|---|---|---|---|---|---|---|---|
| 51.40% | 784 | 6.0 | 1,008 | 14,200 | 49.2% | 52.9% | |
| 48.99% | 496 | 5.7 | 919 | 13,645 | 46.9% | 50.7% | |
| 48.24% | 454 | 5.7 | 895 | 13,596 | 41.4% | 53.8% | |
| 52.49% | 442 | 5.8 | 966 | 14,071 | 48.5% | 55.6% | |
| 53.66% | 382 | 5.5 | 858 | 12,835 | 49.7% | 57.0% | |
| 51.05% | 333 | 5.8 | 936 | 13,644 | 48.3% | 53.2% | |
| 50.41% | 246 | 5.9 | 982 | 13,884 | 37.3% | 59.7% | |
| 51.98% | 227 | 6.0 | 918 | 14,127 | 52.1% | 51.9% | |
| 54.36% | 195 | 5.9 | 916 | 13,675 | 48.8% | 58.4% | |
| 54.35% | 138 | 5.7 | 926 | 13,624 | 44.4% | 62.7% | |
| 51.88% | 133 | 5.7 | 950 | 13,539 | 44.3% | 58.3% | |
| 45.38% | 130 | 5.9 | 958 | 14,025 | 46.5% | 44.4% | |
| 55.20% | 125 | 5.6 | 834 | 12,829 | 56.5% | 54.0% | |
| 64.10% | 117 | 5.9 | 1,054 | 14,140 | 68.9% | 61.1% | |
| 56.67% | 90 | 5.3 | 880 | 13,369 | 51.4% | 60.4% | |
| 50.00% | 86 | 6.2 | 1,077 | 15,254 | 35.5% | 58.2% | |
| 48.24% | 85 | 5.4 | 955 | 13,539 | 43.6% | 52.2% | |
| 46.99% | 83 | 6.0 | 1,004 | 14,611 | 51.5% | 44.0% | |
| 55.70% | 79 | 6.1 | 943 | 13,677 | 60.6% | 52.2% | |
| 43.42% | 76 | 5.9 | 979 | 13,386 | 39.4% | 46.5% | |
| 46.67% | 75 | 5.6 | 926 | 14,675 | 60.9% | 40.4% | |
| 43.40% | 53 | 3.6 | 834 | 12,939 | 41.2% | 44.4% | |
| 54.00% | 50 | 5.6 | 931 | 13,765 | 42.1% | 61.3% | |
| 43.48% | 46 | 5.9 | 791 | 12,811 | 30.4% | 56.5% | |
| 50.00% | 44 | 6.1 | 945 | 13,911 | 45.0% | 54.2% | |
| 39.53% | 43 | 5.4 | 801 | 11,884 | 21.7% | 60.0% | |
| 48.72% | 39 | 6.3 | 825 | 12,422 | 45.5% | 52.9% | |
| 52.94% | 34 | 4.1 | 972 | 14,230 | 50.0% | 56.3% | |
| 35.29% | 34 | 5.9 | 889 | 13,332 | 33.3% | 36.8% | |
| 56.25% | 32 | 5.7 | 1,020 | 13,549 | 41.7% | 65.0% | |
| 43.33% | 30 | 5.4 | 710 | 11,633 | 40.0% | 46.7% | |
| 37.04% | 27 | 5.3 | 989 | 13,395 | 50.0% | 31.6% | |
| 48.15% | 27 | 4.9 | 1,012 | 12,447 | 40.0% | 52.9% | |
| 56.00% | 25 | 5.5 | 935 | 13,364 | 44.4% | 62.5% | |
| 40.00% | 25 | 4.7 | 882 | 13,299 | 28.6% | 44.4% | |
| 66.67% | 24 | 5.0 | 839 | 13,920 | 87.5% | 56.3% | |
| 41.18% | 17 | 1.9 | 726 | 10,125 | 40.0% | 42.9% | |
| 41.18% | 17 | 6.5 | 999 | 13,018 | 42.9% | 40.0% | |
| 35.29% | 17 | 2.6 | 905 | 14,716 | 25.0% | 44.4% | |
| 43.75% | 16 | 4.2 | 894 | 13,981 | 50.0% | 40.0% | |
| 50.00% | 16 | 5.6 | 922 | 11,504 | 50.0% | 50.0% | |
| 31.25% | 16 | 5.7 | 903 | 12,884 | 0.0% | 50.0% | |
| 43.75% | 16 | 1.9 | 885 | 14,345 | 16.7% | 60.0% | |
| 53.33% | 15 | 4.5 | 761 | 11,243 | 66.7% | 33.3% | |
| 28.57% | 14 | 2.5 | 803 | 12,836 | 16.7% | 37.5% | |
| 64.29% | 14 | 5.4 | 1,150 | 16,043 | 66.7% | 63.6% | |
| 35.71% | 14 | 1.8 | 631 | 8,254 | 45.5% | 0.0% | |
| 64.29% | 14 | 6.3 | 1,286 | 15,916 | 66.7% | 62.5% | |
| 58.33% | 12 | 5.2 | 891 | 12,570 | 40.0% | 71.4% | |
| 50.00% | 12 | 1.4 | 884 | 13,572 | 0.0% | 75.0% | |
| 41.67% | 12 | 2.0 | 672 | 9,920 | 20.0% | 57.1% | |
| 50.00% | 12 | 3.1 | 834 | 12,937 | 25.0% | 62.5% | |
| 54.55% | 11 | 5.3 | 1,079 | 14,536 | 100.0% | 44.4% | |
| 36.36% | 11 | 5.6 | 1,182 | 13,331 | 33.3% | 37.5% | |
| 36.36% | 11 | 4.7 | 965 | 13,907 | 25.0% | 42.9% | |
| 50.00% | 10 | 1.7 | 863 | 13,873 | 66.7% | 42.9% | |
| 60.00% | 10 | 2.6 | 952 | 14,753 | 50.0% | 62.5% | |
| 40.00% | 10 | 2.7 | 928 | 13,585 | 25.0% | 50.0% | |
| 44.44% | 9 | 5.2 | 986 | 13,815 | 33.3% | 50.0% | |
| 33.33% | 9 | 2.3 | 648 | 12,744 | 60.0% | 0.0% | |
| 75.00% | 8 | 1.4 | 887 | 15,625 | 100.0% | 66.7% | |
| 62.50% | 8 | 1.2 | 820 | 12,289 | 75.0% | 50.0% | |
| 25.00% | 8 | 3.3 | 677 | 12,219 | 0.0% | 28.6% | |
| 37.50% | 8 | 4.1 | 898 | 12,680 | 25.0% | 50.0% | |
| 50.00% | 8 | 1.9 | 786 | 11,813 | 40.0% | 66.7% | |
| 25.00% | 8 | 1.7 | 746 | 10,447 | 33.3% | 20.0% | |
| 62.50% | 8 | 6.0 | 946 | 13,375 | 60.0% | 66.7% | |
| 25.00% | 8 | 4.0 | 862 | 10,924 | 25.0% | 25.0% | |
| 62.50% | 8 | 2.1 | 783 | 13,141 | 66.7% | 60.0% | |
| 12.50% | 8 | 1.9 | 597 | 9,417 | 0.0% | 25.0% | |
| 42.86% | 7 | 4.1 | 843 | 12,910 | 100.0% | 20.0% | |
| 57.14% | 7 | 5.8 | 1,026 | 13,595 | 100.0% | 25.0% | |
| 42.86% | 7 | 5.0 | 1,001 | 14,423 | 66.7% | 25.0% | |
| 28.57% | 7 | 1.8 | 942 | 13,468 | 0.0% | 33.3% | |
| 57.14% | 7 | 5.0 | 1,523 | 16,144 | 0.0% | 80.0% | |
| 57.14% | 7 | 1.2 | 931 | 13,156 | 25.0% | 100.0% | |
| 57.14% | 7 | 3.6 | 1,331 | 14,951 | 66.7% | 50.0% | |
| 28.57% | 7 | 1.6 | 704 | 10,974 | 0.0% | 50.0% | |
| 42.86% | 7 | 1.4 | 731 | 13,186 | 0.0% | 75.0% | |
| 28.57% | 7 | 1.6 | 736 | 10,058 | 25.0% | 33.3% | |
| 57.14% | 7 | 3.9 | 959 | 11,507 | 66.7% | 50.0% | |
| 0.00% | 6 | 4.9 | 706 | 8,853 | 0.0% | 0.0% | |
| 33.33% | 6 | 2.5 | 798 | 12,509 | 0.0% | 66.7% | |
| 33.33% | 6 | 1.0 | 686 | 12,197 | 0.0% | 40.0% | |
| 16.67% | 6 | 5.6 | 969 | 10,937 | 33.3% | 0.0% | |
| 83.33% | 6 | 5.8 | 1,032 | 14,300 | 100.0% | 80.0% | |
| 20.00% | 5 | 2.7 | 961 | 14,530 | 0.0% | 25.0% | |
| 40.00% | 5 | 1.2 | 728 | 14,943 | 0.0% | 66.7% | |
| 20.00% | 5 | 3.3 | 732 | 11,240 | 0.0% | 25.0% | |
| 40.00% | 5 | 1.7 | 731 | 10,583 | 66.7% | 0.0% | |
| 80.00% | 5 | 1.8 | 720 | 13,820 | 0.0% | 100.0% | |
| 20.00% | 5 | 1.1 | 860 | 12,400 | 0.0% | 33.3% | |
| 60.00% | 5 | 3.6 | 931 | 13,446 | 0.0% | 75.0% | |
| 20.00% | 5 | 3.1 | 552 | 12,059 | 33.3% | 0.0% | |
| 80.00% | 5 | 4.2 | 738 | 10,985 | 66.7% | 100.0% | |
| 80.00% | 5 | 1.7 | 791 | 12,244 | 100.0% | 50.0% | |
| 40.00% | 5 | 1.2 | 595 | 8,160 | 50.0% | 0.0% | |
| 40.00% | 5 | 4.3 | 858 | 11,043 | 33.3% | 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 Twitch - Czesto zadawane pytania
Jakie sa najlepsze matchupy Twitch w League of Legends?
Najlepsze matchupy Twitch w patchu 26.10 to Smolder, Caitlyn, and Ashe. 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 Zed, Kayn, and Syndra. 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, Caitlyn, and Ashe 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?
Zed, Kayn, and Syndra 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.