OlafMatchupy
Dane matchupów Olaf dla League of Legends patch 26.4. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Olaf. Dowiedz się kogo Olaf pokonuje i komu przegrywa na linii.
Olaf Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Olaf 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 Olaf dla patcha 26.4 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Olaf, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Olaf, 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 |
|---|---|---|---|---|---|---|---|
| 48.81% | 168 | 6.2 | 896 | 11,844 | 55.8% | 41.5% | |
| 55.06% | 90 | 6.8 | 890 | 12,493 | 50.0% | 60.0% | |
| 55.29% | 85 | 6.5 | 844 | 11,632 | 55.1% | 55.6% | |
| 47.06% | 85 | 6.8 | 1,074 | 12,363 | 55.6% | 37.5% | |
| 51.90% | 79 | 6.1 | 769 | 12,664 | 68.6% | 38.6% | |
| 44.59% | 74 | 6.4 | 947 | 12,246 | 37.8% | 51.4% | |
| 58.33% | 72 | 6.6 | 890 | 12,853 | 56.4% | 60.6% | |
| 55.56% | 63 | 6.1 | 993 | 12,484 | 62.5% | 48.4% | |
| 52.38% | 63 | 6.3 | 1,164 | 12,290 | 55.6% | 48.1% | |
| 52.46% | 61 | 6.2 | 856 | 12,299 | 53.9% | 51.4% | |
| 52.46% | 61 | 6.8 | 789 | 12,623 | 48.5% | 57.1% | |
| 43.10% | 60 | 6.2 | 785 | 10,976 | 42.4% | 44.0% | |
| 46.55% | 58 | 6.2 | 942 | 13,168 | 39.1% | 51.4% | |
| 40.00% | 55 | 6.8 | 937 | 12,272 | 40.7% | 39.3% | |
| 56.36% | 55 | 7.1 | 936 | 13,414 | 46.4% | 66.7% | |
| 47.17% | 54 | 5.2 | 847 | 11,789 | 37.5% | 55.2% | |
| 48.98% | 49 | 6.8 | 865 | 11,349 | 39.3% | 61.9% | |
| 44.68% | 48 | 6.8 | 871 | 13,115 | 50.0% | 40.0% | |
| 36.17% | 48 | 6.4 | 920 | 12,464 | 37.5% | 34.8% | |
| 68.09% | 47 | 7.4 | 906 | 13,335 | 68.0% | 68.2% | |
| 36.17% | 47 | 6.5 | 819 | 11,808 | 42.3% | 28.6% | |
| 57.78% | 45 | 6.4 | 1,038 | 11,557 | 69.6% | 45.5% | |
| 33.33% | 45 | 6.3 | 888 | 11,974 | 25.0% | 40.0% | |
| 38.64% | 44 | 6.7 | 891 | 12,753 | 47.8% | 28.6% | |
| 45.95% | 37 | 6.5 | 899 | 12,518 | 41.2% | 50.0% | |
| 44.44% | 36 | 6.3 | 906 | 13,362 | 30.8% | 52.2% | |
| 50.00% | 36 | 6.7 | 1,158 | 12,745 | 52.9% | 47.4% | |
| 45.71% | 35 | 5.8 | 904 | 13,114 | 52.9% | 38.9% | |
| 45.45% | 35 | 5.8 | 788 | 12,152 | 50.0% | 42.1% | |
| 42.42% | 33 | 6.9 | 964 | 12,377 | 41.2% | 43.8% | |
| 61.29% | 32 | 6.6 | 796 | 12,747 | 73.3% | 50.0% | |
| 46.88% | 32 | 7.0 | 889 | 12,847 | 46.7% | 47.1% | |
| 53.57% | 28 | 2.4 | 860 | 12,843 | 46.7% | 61.5% | |
| 38.46% | 26 | 6.0 | 789 | 12,409 | 37.5% | 38.9% | |
| 38.46% | 26 | 6.7 | 865 | 13,593 | 27.3% | 46.7% | |
| 60.00% | 25 | 3.8 | 1,068 | 13,886 | 60.0% | 60.0% | |
| 33.33% | 25 | 6.2 | 750 | 11,555 | 50.0% | 16.7% | |
| 66.67% | 25 | 4.6 | 846 | 12,260 | 62.5% | 75.0% | |
| 70.83% | 24 | 3.5 | 765 | 12,631 | 69.2% | 72.7% | |
| 43.48% | 23 | 2.1 | 685 | 12,303 | 58.3% | 27.3% | |
| 39.13% | 23 | 6.5 | 819 | 12,079 | 36.4% | 41.7% | |
| 60.87% | 23 | 6.2 | 823 | 12,404 | 72.7% | 50.0% | |
| 60.87% | 23 | 7.1 | 912 | 14,523 | 50.0% | 66.7% | |
| 57.89% | 20 | 6.2 | 871 | 13,362 | 50.0% | 63.6% | |
| 52.63% | 19 | 6.1 | 869 | 10,913 | 50.0% | 57.1% | |
| 72.22% | 18 | 3.6 | 1,060 | 14,636 | 75.0% | 70.0% | |
| 66.67% | 18 | 6.5 | 849 | 12,561 | 57.1% | 72.7% | |
| 11.76% | 17 | 2.5 | 745 | 11,962 | 25.0% | 0.0% | |
| 58.82% | 17 | 4.7 | 720 | 11,796 | 66.7% | 50.0% | |
| 12.50% | 16 | 6.4 | 939 | 10,054 | 8.3% | 25.0% | |
| 25.00% | 16 | 3.0 | 681 | 12,186 | 20.0% | 33.3% | |
| 37.50% | 16 | 1.2 | 705 | 12,179 | 42.9% | 33.3% | |
| 46.67% | 15 | 2.8 | 767 | 12,120 | 42.9% | 50.0% | |
| 60.00% | 15 | 6.3 | 850 | 15,177 | 40.0% | 70.0% | |
| 53.33% | 15 | 6.5 | 735 | 12,218 | 42.9% | 62.5% | |
| 40.00% | 15 | 6.8 | 947 | 14,873 | 42.9% | 37.5% | |
| 21.43% | 14 | 6.4 | 780 | 10,864 | 37.5% | 0.0% | |
| 71.43% | 14 | 4.3 | 1,036 | 15,344 | 100.0% | 60.0% | |
| 50.00% | 14 | 1.4 | 810 | 13,223 | 80.0% | 33.3% | |
| 53.85% | 13 | 6.5 | 991 | 12,611 | 83.3% | 28.6% | |
| 53.85% | 13 | 4.0 | 826 | 13,656 | 60.0% | 50.0% | |
| 83.33% | 12 | 6.4 | 795 | 13,194 | 75.0% | 87.5% | |
| 75.00% | 12 | 1.4 | 852 | 15,190 | 33.3% | 88.9% | |
| 41.67% | 12 | 2.7 | 804 | 13,289 | 40.0% | 42.9% | |
| 54.55% | 11 | 6.2 | 842 | 11,040 | 50.0% | 60.0% | |
| 36.36% | 11 | 5.5 | 807 | 11,146 | 28.6% | 50.0% | |
| 63.64% | 11 | 2.9 | 759 | 12,293 | 50.0% | 80.0% | |
| 54.55% | 11 | 3.2 | 870 | 13,178 | 50.0% | 60.0% | |
| 55.56% | 10 | 2.7 | 857 | 13,610 | 50.0% | 60.0% | |
| 44.44% | 9 | 3.5 | 851 | 11,391 | 20.0% | 75.0% | |
| 11.11% | 9 | 2.5 | 881 | 13,254 | 0.0% | 14.3% | |
| 44.44% | 9 | 2.0 | 878 | 14,933 | 60.0% | 25.0% | |
| 44.44% | 9 | 1.1 | 787 | 11,230 | 33.3% | 66.7% | |
| 50.00% | 8 | 6.1 | 996 | 14,659 | 66.7% | 40.0% | |
| 50.00% | 8 | 6.6 | 746 | 11,054 | 40.0% | 66.7% | |
| 14.29% | 7 | 1.9 | 893 | 10,607 | 16.7% | 0.0% | |
| 71.43% | 7 | 2.2 | 985 | 13,910 | 60.0% | 100.0% | |
| 71.43% | 7 | 3.1 | 761 | 14,201 | 75.0% | 66.7% | |
| 57.14% | 7 | 3.6 | 1,038 | 16,361 | 0.0% | 66.7% | |
| 28.57% | 7 | 1.6 | 676 | 11,099 | 20.0% | 50.0% | |
| 33.33% | 6 | 1.7 | 806 | 15,400 | 0.0% | 40.0% | |
| 50.00% | 6 | 7.1 | 1,026 | 14,779 | 0.0% | 50.0% | |
| 16.67% | 6 | 6.2 | 756 | 10,189 | 33.3% | 0.0% | |
| 33.33% | 6 | 5.6 | 975 | 11,170 | 0.0% | 50.0% | |
| 40.00% | 5 | 6.6 | 645 | 11,817 | 0.0% | 66.7% | |
| 20.00% | 5 | 1.0 | 794 | 14,853 | 0.0% | 25.0% | |
| 40.00% | 5 | 3.7 | 615 | 9,652 | 33.3% | 50.0% | |
| 60.00% | 5 | 7.5 | 911 | 12,868 | 50.0% | 100.0% | |
| 60.00% | 5 | 3.3 | 780 | 12,840 | 0.0% | 100.0% | |
| 40.00% | 5 | 7.3 | 1,071 | 16,290 | 0.0% | 50.0% | |
| 20.00% | 5 | 1.1 | 444 | 10,041 | 25.0% | 0.0% | |
| 40.00% | 5 | 1.0 | 605 | 8,132 | 40.0% | 0.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Olaf - Czesto zadawane pytania
Jakie sa najlepsze matchupy Olaf w League of Legends?
Najlepsze matchupy Olaf w patchu 26.4 to Mordekaiser, Garen, and Urgot. Olaf 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 Olaf?
Najgorsze matchupy Olaf to Zac, Lillia, and Kled. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Olaf i moga wykorzystac slabosci Olaf na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Olaf?
Mozesz sprawdzic dane matchupow Olaf 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 Olaf.
Kogo kontruje Olaf w League of Legends?
Olaf kontruje Mordekaiser, Garen, and Urgot w patchu 26.4. To sa najbardziej korzystne matchupy Olaf, gdzie Olaf ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Olaf w szczegolach.
Kto kontruje Olaf na linii?
Zac, Lillia, and Kled kontruja Olaf na linii w patchu 26.4. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Olaf. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.