ZiggsMatchupy
Dane matchupów Ziggs dla League of Legends patch 26.4. 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 26.4 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 |
|---|---|---|---|---|---|---|---|
| 48.03% | 256 | 6.9 | 1,014 | 13,192 | 52.7% | 44.4% | |
| 51.78% | 198 | 6.5 | 1,004 | 12,908 | 57.8% | 47.4% | |
| 45.76% | 178 | 6.8 | 1,110 | 13,979 | 42.3% | 48.1% | |
| 57.89% | 115 | 6.8 | 1,022 | 13,805 | 59.4% | 57.3% | |
| 55.36% | 112 | 7.1 | 1,028 | 12,882 | 67.3% | 45.0% | |
| 54.55% | 111 | 6.7 | 1,024 | 13,533 | 50.0% | 57.6% | |
| 52.58% | 98 | 7.0 | 1,063 | 13,403 | 50.0% | 54.2% | |
| 51.58% | 96 | 7.0 | 1,023 | 12,808 | 59.5% | 45.3% | |
| 52.08% | 96 | 6.7 | 1,097 | 12,402 | 48.7% | 54.4% | |
| 44.21% | 96 | 6.7 | 941 | 12,409 | 47.4% | 42.1% | |
| 50.60% | 83 | 6.8 | 1,059 | 12,824 | 48.5% | 52.0% | |
| 49.25% | 67 | 7.3 | 959 | 12,528 | 48.4% | 50.0% | |
| 52.31% | 65 | 6.0 | 940 | 12,637 | 37.5% | 61.0% | |
| 55.38% | 65 | 6.9 | 1,075 | 13,353 | 59.3% | 52.6% | |
| 54.69% | 64 | 6.8 | 968 | 13,311 | 55.6% | 54.0% | |
| 55.93% | 59 | 6.6 | 1,114 | 13,748 | 63.6% | 51.4% | |
| 49.12% | 58 | 6.3 | 888 | 12,398 | 45.5% | 51.4% | |
| 48.21% | 56 | 6.7 | 943 | 13,119 | 60.9% | 39.4% | |
| 41.51% | 53 | 7.6 | 1,078 | 14,737 | 46.7% | 39.5% | |
| 41.18% | 51 | 6.8 | 1,093 | 14,156 | 42.1% | 40.6% | |
| 32.00% | 50 | 6.9 | 970 | 12,776 | 42.9% | 24.1% | |
| 38.78% | 49 | 6.6 | 1,096 | 13,292 | 50.0% | 34.3% | |
| 63.27% | 49 | 7.1 | 1,147 | 14,310 | 70.0% | 58.6% | |
| 50.00% | 49 | 6.2 | 953 | 12,011 | 45.5% | 53.9% | |
| 57.14% | 49 | 6.8 | 1,081 | 14,593 | 55.0% | 58.6% | |
| 35.42% | 48 | 6.6 | 953 | 12,719 | 42.9% | 29.6% | |
| 42.22% | 45 | 6.7 | 1,142 | 13,830 | 57.1% | 35.5% | |
| 36.36% | 45 | 6.4 | 892 | 11,382 | 47.4% | 28.0% | |
| 48.84% | 44 | 7.1 | 993 | 13,062 | 50.0% | 48.0% | |
| 48.84% | 43 | 6.8 | 1,106 | 12,873 | 40.0% | 53.6% | |
| 52.38% | 42 | 6.6 | 1,079 | 13,228 | 66.7% | 41.7% | |
| 40.48% | 42 | 7.2 | 1,016 | 12,195 | 41.2% | 40.0% | |
| 42.11% | 38 | 7.0 | 929 | 12,213 | 35.3% | 47.6% | |
| 63.89% | 36 | 6.7 | 1,195 | 13,259 | 61.5% | 65.2% | |
| 66.67% | 36 | 6.8 | 1,021 | 12,937 | 58.8% | 73.7% | |
| 40.00% | 35 | 6.9 | 980 | 11,075 | 26.3% | 56.3% | |
| 44.12% | 34 | 7.6 | 1,117 | 14,833 | 57.1% | 35.0% | |
| 47.06% | 34 | 6.6 | 880 | 11,526 | 46.7% | 47.4% | |
| 63.64% | 33 | 6.6 | 930 | 11,995 | 75.0% | 57.1% | |
| 54.55% | 33 | 7.3 | 1,021 | 11,634 | 61.9% | 41.7% | |
| 40.63% | 32 | 6.7 | 825 | 10,824 | 37.5% | 43.8% | |
| 33.33% | 30 | 6.2 | 1,115 | 12,161 | 38.5% | 29.4% | |
| 36.67% | 30 | 7.3 | 978 | 12,599 | 46.1% | 29.4% | |
| 44.44% | 27 | 7.2 | 1,104 | 13,709 | 66.7% | 38.1% | |
| 42.31% | 26 | 6.6 | 962 | 12,720 | 25.0% | 50.0% | |
| 30.77% | 26 | 6.7 | 961 | 12,163 | 36.4% | 26.7% | |
| 45.83% | 24 | 7.5 | 1,204 | 14,524 | 50.0% | 42.9% | |
| 45.83% | 24 | 7.2 | 888 | 10,078 | 58.3% | 33.3% | |
| 59.09% | 22 | 4.5 | 948 | 10,596 | 57.1% | 62.5% | |
| 59.09% | 22 | 6.8 | 903 | 11,483 | 66.7% | 50.0% | |
| 47.62% | 21 | 6.5 | 904 | 12,356 | 40.0% | 50.0% | |
| 55.00% | 20 | 6.9 | 1,163 | 11,789 | 50.0% | 60.0% | |
| 63.16% | 19 | 7.2 | 978 | 12,981 | 71.4% | 58.3% | |
| 38.89% | 19 | 7.0 | 1,089 | 13,941 | 33.3% | 41.7% | |
| 42.11% | 19 | 6.7 | 985 | 11,557 | 37.5% | 45.5% | |
| 73.68% | 19 | 6.9 | 1,190 | 13,149 | 75.0% | 72.7% | |
| 77.78% | 18 | 7.3 | 1,047 | 11,239 | 90.0% | 62.5% | |
| 38.89% | 18 | 7.7 | 985 | 11,419 | 62.5% | 20.0% | |
| 16.67% | 18 | 4.7 | 973 | 13,395 | 60.0% | 0.0% | |
| 52.94% | 18 | 7.2 | 1,130 | 13,943 | 66.7% | 45.5% | |
| 33.33% | 18 | 6.5 | 984 | 12,080 | 28.6% | 36.4% | |
| 50.00% | 18 | 5.7 | 1,088 | 14,651 | 25.0% | 57.1% | |
| 12.50% | 16 | 7.1 | 1,117 | 12,764 | 14.3% | 11.1% | |
| 14.29% | 14 | 2.4 | 831 | 10,178 | 33.3% | 9.1% | |
| 41.67% | 12 | 7.1 | 997 | 11,004 | 28.6% | 60.0% | |
| 45.45% | 11 | 4.1 | 941 | 11,033 | 50.0% | 40.0% | |
| 72.73% | 11 | 6.5 | 1,078 | 14,957 | 100.0% | 66.7% | |
| 45.45% | 11 | 6.7 | 938 | 14,100 | 0.0% | 45.5% | |
| 36.36% | 11 | 5.6 | 1,117 | 10,905 | 16.7% | 60.0% | |
| 45.45% | 11 | 5.5 | 974 | 12,778 | 60.0% | 33.3% | |
| 81.82% | 11 | 6.6 | 1,060 | 13,396 | 100.0% | 60.0% | |
| 60.00% | 10 | 6.5 | 892 | 11,207 | 80.0% | 40.0% | |
| 70.00% | 10 | 7.2 | 841 | 10,912 | 80.0% | 60.0% | |
| 30.00% | 10 | 2.8 | 735 | 7,828 | 28.6% | 33.3% | |
| 33.33% | 9 | 7.6 | 1,223 | 13,876 | 66.7% | 16.7% | |
| 37.50% | 9 | 2.9 | 898 | 11,499 | 50.0% | 33.3% | |
| 66.67% | 9 | 6.5 | 1,276 | 15,012 | 50.0% | 71.4% | |
| 44.44% | 9 | 7.5 | 1,477 | 16,389 | 100.0% | 37.5% | |
| 71.43% | 8 | 3.5 | 708 | 11,246 | 100.0% | 60.0% | |
| 75.00% | 8 | 7.1 | 1,152 | 13,834 | 66.7% | 80.0% | |
| 28.57% | 7 | 2.7 | 799 | 9,613 | 33.3% | 25.0% | |
| 42.86% | 7 | 5.6 | 807 | 11,400 | 33.3% | 50.0% | |
| 71.43% | 7 | 2.0 | 877 | 11,530 | 66.7% | 75.0% | |
| 50.00% | 6 | 3.6 | 937 | 11,621 | 33.3% | 66.7% | |
| 50.00% | 6 | 2.3 | 827 | 10,128 | 0.0% | 75.0% | |
| 66.67% | 6 | 6.9 | 1,184 | 14,462 | 100.0% | 60.0% | |
| 66.67% | 6 | 5.5 | 1,107 | 12,351 | 66.7% | 66.7% | |
| 33.33% | 6 | 6.6 | 941 | 11,808 | 0.0% | 66.7% | |
| 33.33% | 6 | 7.7 | 865 | 11,384 | 50.0% | 0.0% | |
| 50.00% | 6 | 3.1 | 1,200 | 10,893 | 50.0% | 50.0% | |
| 60.00% | 5 | 2.7 | 803 | 10,415 | 66.7% | 50.0% | |
| 80.00% | 5 | 7.4 | 1,323 | 15,423 | 100.0% | 75.0% | |
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 26.4 to Caitlyn, Miss Fortune, and Jinx. 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 Kassadin, Nami, and Morgana. 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 Caitlyn, Miss Fortune, and Jinx w patchu 26.4. 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?
Kassadin, Nami, and Morgana kontruja Ziggs na linii w patchu 26.4. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Ziggs. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.