ZiggsMatchupy
Dane matchupów Ziggs dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Ziggs. Dowiedz się kogo Ziggs pokonuje i komu przegrywa na linii.
Ziggs Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Ziggs 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 Ziggs dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Ziggs, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Ziggs, 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 |
|---|---|---|---|---|---|---|---|
| 49.07% | 214 | 6.7 | 1,054 | 12,924 | 51.2% | 47.7% | |
| 54.50% | 200 | 6.7 | 1,015 | 13,010 | 56.0% | 53.6% | |
| 47.06% | 136 | 6.2 | 998 | 12,016 | 44.6% | 48.8% | |
| 55.91% | 127 | 6.9 | 1,023 | 13,651 | 62.2% | 52.4% | |
| 40.16% | 127 | 6.7 | 991 | 13,189 | 51.2% | 34.5% | |
| 55.05% | 109 | 6.5 | 1,121 | 13,437 | 64.9% | 50.0% | |
| 58.14% | 86 | 7.0 | 938 | 11,718 | 66.7% | 47.4% | |
| 54.55% | 77 | 6.6 | 947 | 12,126 | 52.8% | 56.1% | |
| 42.86% | 70 | 5.9 | 941 | 12,489 | 38.9% | 44.2% | |
| 44.62% | 65 | 6.1 | 1,009 | 12,336 | 54.2% | 39.0% | |
| 42.11% | 57 | 6.4 | 947 | 10,981 | 36.4% | 50.0% | |
| 45.10% | 51 | 6.7 | 1,063 | 12,000 | 45.5% | 44.8% | |
| 44.90% | 49 | 7.0 | 1,103 | 14,151 | 46.7% | 44.1% | |
| 48.98% | 49 | 6.5 | 1,041 | 12,993 | 55.0% | 44.8% | |
| 46.94% | 49 | 7.1 | 1,050 | 11,413 | 50.0% | 44.0% | |
| 48.94% | 47 | 6.7 | 986 | 12,295 | 50.0% | 48.4% | |
| 48.94% | 47 | 6.9 | 922 | 11,163 | 57.1% | 42.3% | |
| 44.68% | 47 | 6.5 | 1,046 | 11,409 | 47.8% | 41.7% | |
| 38.30% | 47 | 6.4 | 1,043 | 13,610 | 41.7% | 37.1% | |
| 54.35% | 46 | 6.4 | 1,025 | 13,192 | 62.5% | 50.0% | |
| 52.17% | 46 | 6.0 | 1,018 | 12,659 | 70.6% | 41.4% | |
| 61.90% | 42 | 6.3 | 997 | 11,530 | 73.3% | 55.6% | |
| 61.90% | 42 | 6.6 | 912 | 12,369 | 75.0% | 50.0% | |
| 54.05% | 37 | 6.7 | 1,052 | 12,186 | 55.6% | 52.6% | |
| 59.46% | 37 | 5.9 | 1,142 | 13,496 | 36.4% | 69.2% | |
| 48.65% | 37 | 6.1 | 962 | 11,830 | 52.9% | 45.0% | |
| 57.14% | 35 | 6.6 | 1,024 | 11,350 | 56.3% | 57.9% | |
| 45.71% | 35 | 6.5 | 1,026 | 11,167 | 47.4% | 43.8% | |
| 47.06% | 34 | 6.6 | 940 | 11,336 | 56.3% | 38.9% | |
| 48.48% | 33 | 7.2 | 980 | 12,602 | 52.9% | 43.8% | |
| 50.00% | 30 | 6.0 | 1,065 | 11,786 | 54.5% | 47.4% | |
| 46.67% | 30 | 6.4 | 904 | 10,106 | 53.3% | 40.0% | |
| 53.33% | 30 | 6.6 | 1,110 | 13,983 | 28.6% | 60.9% | |
| 44.83% | 29 | 4.0 | 858 | 11,152 | 38.5% | 50.0% | |
| 53.57% | 28 | 6.8 | 958 | 11,698 | 66.7% | 38.5% | |
| 69.23% | 26 | 6.5 | 1,090 | 14,310 | 70.0% | 68.8% | |
| 47.83% | 23 | 6.2 | 934 | 11,919 | 71.4% | 37.5% | |
| 52.17% | 23 | 6.8 | 928 | 12,077 | 57.1% | 50.0% | |
| 34.78% | 23 | 6.1 | 1,078 | 11,253 | 30.0% | 38.5% | |
| 56.52% | 23 | 6.7 | 1,050 | 12,272 | 60.0% | 53.9% | |
| 86.36% | 22 | 7.1 | 1,061 | 13,827 | 100.0% | 76.9% | |
| 45.45% | 22 | 7.2 | 880 | 12,611 | 66.7% | 30.8% | |
| 33.33% | 21 | 6.5 | 923 | 11,737 | 25.0% | 38.5% | |
| 57.14% | 21 | 6.4 | 1,096 | 13,219 | 60.0% | 56.3% | |
| 55.00% | 20 | 6.5 | 971 | 11,666 | 50.0% | 58.3% | |
| 65.00% | 20 | 6.7 | 1,145 | 12,561 | 55.6% | 72.7% | |
| 50.00% | 20 | 7.5 | 1,064 | 12,674 | 42.9% | 53.9% | |
| 50.00% | 20 | 6.9 | 992 | 11,309 | 50.0% | 50.0% | |
| 35.00% | 20 | 6.9 | 980 | 12,918 | 57.1% | 23.1% | |
| 42.11% | 19 | 7.2 | 1,009 | 10,930 | 50.0% | 33.3% | |
| 42.11% | 19 | 6.7 | 1,028 | 12,147 | 28.6% | 50.0% | |
| 57.89% | 19 | 7.0 | 952 | 9,669 | 60.0% | 55.6% | |
| 52.63% | 19 | 7.2 | 1,031 | 10,677 | 50.0% | 60.0% | |
| 66.67% | 18 | 6.5 | 1,199 | 12,298 | 42.9% | 81.8% | |
| 44.44% | 18 | 6.7 | 1,009 | 10,709 | 42.9% | 45.5% | |
| 41.18% | 17 | 4.3 | 861 | 11,255 | 0.0% | 46.7% | |
| 58.82% | 17 | 6.7 | 1,119 | 11,921 | 57.1% | 60.0% | |
| 58.82% | 17 | 6.8 | 937 | 11,096 | 50.0% | 66.7% | |
| 56.25% | 16 | 5.3 | 936 | 11,591 | 0.0% | 75.0% | |
| 80.00% | 15 | 6.6 | 950 | 10,729 | 66.7% | 100.0% | |
| 40.00% | 15 | 6.3 | 1,114 | 11,394 | 33.3% | 50.0% | |
| 57.14% | 14 | 7.0 | 845 | 11,875 | 50.0% | 62.5% | |
| 46.15% | 13 | 6.6 | 1,019 | 12,823 | 50.0% | 44.4% | |
| 38.46% | 13 | 6.1 | 842 | 9,888 | 42.9% | 33.3% | |
| 53.85% | 13 | 7.1 | 1,069 | 13,458 | 75.0% | 44.4% | |
| 76.92% | 13 | 6.5 | 1,154 | 12,765 | 80.0% | 75.0% | |
| 58.33% | 12 | 6.9 | 1,091 | 14,785 | 50.0% | 60.0% | |
| 58.33% | 12 | 6.7 | 942 | 11,186 | 71.4% | 40.0% | |
| 36.36% | 11 | 6.8 | 1,160 | 11,927 | 33.3% | 37.5% | |
| 63.64% | 11 | 7.1 | 1,092 | 11,996 | 83.3% | 40.0% | |
| 30.00% | 10 | 6.3 | 1,078 | 11,735 | 16.7% | 50.0% | |
| 40.00% | 10 | 6.7 | 1,144 | 11,913 | 33.3% | 42.9% | |
| 20.00% | 10 | 5.5 | 995 | 14,862 | 50.0% | 12.5% | |
| 50.00% | 10 | 3.7 | 1,061 | 12,970 | 50.0% | 50.0% | |
| 44.44% | 9 | 3.8 | 934 | 11,205 | 66.7% | 33.3% | |
| 44.44% | 9 | 5.3 | 1,105 | 10,146 | 40.0% | 50.0% | |
| 62.50% | 8 | 7.1 | 940 | 11,163 | 40.0% | 100.0% | |
| 75.00% | 8 | 3.1 | 1,057 | 12,675 | 66.7% | 80.0% | |
| 50.00% | 8 | 7.3 | 1,056 | 13,612 | 60.0% | 33.3% | |
| 57.14% | 7 | 2.2 | 866 | 10,576 | 50.0% | 60.0% | |
| 42.86% | 7 | 6.2 | 954 | 8,926 | 33.3% | 50.0% | |
| 33.33% | 6 | 2.5 | 927 | 7,937 | 25.0% | 50.0% | |
| 16.67% | 6 | 6.6 | 978 | 12,251 | 50.0% | 0.0% | |
| 50.00% | 6 | 6.9 | 1,123 | 15,668 | 0.0% | 50.0% | |
| 50.00% | 6 | 6.4 | 1,031 | 10,294 | 66.7% | 33.3% | |
| 40.00% | 5 | 4.8 | 1,052 | 11,400 | 0.0% | 66.7% | |
| 40.00% | 5 | 7.3 | 1,004 | 12,340 | 33.3% | 50.0% | |
| 20.00% | 5 | 6.3 | 835 | 11,981 | 50.0% | 0.0% | |
| 60.00% | 5 | 7.6 | 1,120 | 12,156 | 33.3% | 100.0% | |
| 20.00% | 5 | 3.2 | 559 | 8,874 | 50.0% | 0.0% | |
| 40.00% | 5 | 2.7 | 1,107 | 12,678 | 100.0% | 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 Ziggs - Czesto zadawane pytania
Jakie sa najlepsze matchupy Ziggs w League of Legends?
Najlepsze matchupy Ziggs w patchu 26.10 to Smolder, Caitlyn, and Miss Fortune. Ziggs 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 Ziggs?
Najgorsze matchupy Ziggs to Riven, Neeko, and Karthus. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Ziggs i moga wykorzystac slabosci Ziggs na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Ziggs?
Mozesz sprawdzic dane matchupow Ziggs 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 Ziggs.
Kogo kontruje Ziggs w League of Legends?
Ziggs kontruje Smolder, Caitlyn, and Miss Fortune w patchu 26.10. To sa najbardziej korzystne matchupy Ziggs, gdzie Ziggs ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Ziggs w szczegolach.
Kto kontruje Ziggs na linii?
Riven, Neeko, and Karthus kontruja Ziggs na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Ziggs. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.