OlafMatchupy
Dane matchupów Olaf dla League of Legends patch 26.10. 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 26.10 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 |
|---|---|---|---|---|---|---|---|
| 55.11% | 176 | 6.3 | 936 | 12,756 | 61.3% | 50.5% | |
| 54.86% | 175 | 6.3 | 845 | 12,924 | 61.3% | 49.5% | |
| 46.55% | 116 | 6.5 | 867 | 11,975 | 48.0% | 45.5% | |
| 53.54% | 99 | 6.4 | 826 | 11,576 | 48.9% | 57.4% | |
| 54.84% | 93 | 6.0 | 814 | 12,119 | 53.9% | 55.6% | |
| 42.50% | 80 | 6.3 | 857 | 10,894 | 34.3% | 48.9% | |
| 54.67% | 75 | 6.8 | 847 | 11,616 | 59.5% | 50.0% | |
| 44.29% | 70 | 6.2 | 815 | 12,516 | 36.4% | 47.9% | |
| 57.35% | 68 | 6.5 | 991 | 12,555 | 62.1% | 53.9% | |
| 41.79% | 67 | 6.2 | 891 | 11,478 | 41.0% | 42.9% | |
| 48.48% | 66 | 6.7 | 831 | 11,409 | 48.5% | 48.5% | |
| 46.97% | 66 | 6.8 | 1,231 | 12,653 | 57.1% | 39.5% | |
| 52.31% | 65 | 6.7 | 981 | 12,098 | 37.9% | 63.9% | |
| 54.10% | 61 | 6.7 | 977 | 12,621 | 63.3% | 45.2% | |
| 55.74% | 61 | 6.7 | 962 | 12,682 | 41.7% | 64.9% | |
| 46.67% | 60 | 6.9 | 916 | 12,485 | 54.2% | 41.7% | |
| 64.41% | 59 | 6.0 | 785 | 10,828 | 63.9% | 65.2% | |
| 58.62% | 58 | 7.0 | 850 | 13,429 | 69.2% | 50.0% | |
| 42.11% | 57 | 6.7 | 781 | 11,857 | 48.0% | 37.5% | |
| 56.36% | 55 | 6.4 | 1,083 | 12,431 | 50.0% | 61.3% | |
| 51.06% | 47 | 6.7 | 941 | 13,231 | 56.3% | 48.4% | |
| 66.67% | 45 | 5.0 | 1,104 | 13,706 | 72.7% | 60.9% | |
| 60.00% | 45 | 6.3 | 940 | 12,775 | 55.6% | 63.0% | |
| 44.44% | 45 | 6.2 | 853 | 11,352 | 45.5% | 43.5% | |
| 57.14% | 42 | 6.2 | 1,058 | 14,106 | 63.2% | 52.2% | |
| 46.34% | 41 | 6.1 | 888 | 11,268 | 41.7% | 52.9% | |
| 32.50% | 40 | 6.7 | 783 | 11,647 | 39.1% | 23.5% | |
| 48.72% | 39 | 6.0 | 811 | 11,444 | 39.1% | 62.5% | |
| 53.85% | 39 | 6.5 | 1,050 | 12,555 | 47.1% | 59.1% | |
| 58.97% | 39 | 6.5 | 923 | 11,633 | 62.5% | 53.3% | |
| 41.67% | 36 | 6.3 | 982 | 12,751 | 58.3% | 33.3% | |
| 45.45% | 33 | 3.6 | 671 | 12,734 | 50.0% | 42.9% | |
| 43.75% | 32 | 6.5 | 839 | 11,929 | 38.5% | 47.4% | |
| 31.25% | 32 | 6.4 | 779 | 10,891 | 38.9% | 21.4% | |
| 64.52% | 31 | 5.4 | 907 | 12,072 | 65.0% | 63.6% | |
| 54.84% | 31 | 3.9 | 856 | 12,032 | 31.3% | 80.0% | |
| 54.84% | 31 | 7.0 | 812 | 13,455 | 58.3% | 52.6% | |
| 41.38% | 29 | 2.5 | 896 | 14,034 | 36.4% | 44.4% | |
| 60.71% | 28 | 2.7 | 831 | 13,680 | 62.5% | 58.3% | |
| 64.29% | 28 | 6.4 | 890 | 11,781 | 66.7% | 61.5% | |
| 57.69% | 26 | 3.0 | 781 | 12,318 | 66.7% | 52.9% | |
| 34.62% | 26 | 6.6 | 788 | 12,165 | 12.5% | 44.4% | |
| 48.00% | 25 | 6.5 | 792 | 12,448 | 66.7% | 37.5% | |
| 33.33% | 24 | 6.7 | 986 | 14,131 | 42.9% | 29.4% | |
| 50.00% | 24 | 6.6 | 937 | 13,926 | 83.3% | 38.9% | |
| 68.18% | 22 | 5.8 | 948 | 13,371 | 70.0% | 66.7% | |
| 76.19% | 21 | 1.7 | 752 | 12,905 | 81.8% | 70.0% | |
| 61.90% | 21 | 6.4 | 915 | 13,993 | 33.3% | 66.7% | |
| 57.14% | 21 | 6.4 | 817 | 12,053 | 66.7% | 44.4% | |
| 76.19% | 21 | 6.0 | 808 | 11,244 | 70.6% | 100.0% | |
| 52.63% | 19 | 6.1 | 855 | 12,140 | 50.0% | 54.5% | |
| 57.89% | 19 | 6.6 | 765 | 10,359 | 70.0% | 44.4% | |
| 50.00% | 18 | 7.1 | 1,123 | 11,331 | 33.3% | 66.7% | |
| 38.89% | 18 | 6.0 | 796 | 13,170 | 50.0% | 33.3% | |
| 50.00% | 18 | 1.7 | 859 | 15,210 | 40.0% | 53.9% | |
| 52.94% | 17 | 5.1 | 839 | 12,798 | 50.0% | 54.5% | |
| 35.29% | 17 | 0.9 | 748 | 11,241 | 33.3% | 37.5% | |
| 56.25% | 16 | 3.5 | 931 | 10,134 | 70.0% | 33.3% | |
| 60.00% | 15 | 3.0 | 777 | 14,094 | 75.0% | 54.5% | |
| 71.43% | 14 | 2.5 | 906 | 13,727 | 71.4% | 71.4% | |
| 35.71% | 14 | 1.0 | 670 | 11,840 | 20.0% | 44.4% | |
| 76.92% | 13 | 6.6 | 927 | 12,706 | 80.0% | 75.0% | |
| 54.55% | 11 | 1.9 | 692 | 10,527 | 40.0% | 66.7% | |
| 45.45% | 11 | 3.9 | 817 | 13,233 | 50.0% | 40.0% | |
| 45.45% | 11 | 2.4 | 709 | 11,769 | 50.0% | 33.3% | |
| 54.55% | 11 | 5.3 | 956 | 13,739 | 100.0% | 50.0% | |
| 45.45% | 11 | 3.8 | 770 | 13,071 | 42.9% | 50.0% | |
| 63.64% | 11 | 6.0 | 953 | 12,567 | 75.0% | 57.1% | |
| 54.55% | 11 | 0.9 | 733 | 11,529 | 66.7% | 40.0% | |
| 72.73% | 11 | 6.8 | 815 | 11,975 | 100.0% | 57.1% | |
| 40.00% | 10 | 3.1 | 780 | 10,198 | 57.1% | 0.0% | |
| 70.00% | 10 | 5.9 | 861 | 13,306 | 50.0% | 83.3% | |
| 50.00% | 10 | 2.9 | 797 | 14,377 | 25.0% | 66.7% | |
| 70.00% | 10 | 1.4 | 822 | 13,345 | 40.0% | 100.0% | |
| 55.56% | 9 | 2.0 | 502 | 11,099 | 100.0% | 33.3% | |
| 77.78% | 9 | 2.6 | 742 | 11,075 | 66.7% | 100.0% | |
| 55.56% | 9 | 5.6 | 898 | 13,897 | 50.0% | 60.0% | |
| 44.44% | 9 | 4.4 | 883 | 14,030 | 100.0% | 37.5% | |
| 75.00% | 8 | 5.8 | 730 | 6,796 | 83.3% | 50.0% | |
| 75.00% | 8 | 0.7 | 475 | 9,598 | 75.0% | 0.0% | |
| 42.86% | 7 | 5.1 | 786 | 8,771 | 25.0% | 66.7% | |
| 42.86% | 7 | 6.9 | 1,123 | 14,864 | 66.7% | 25.0% | |
| 14.29% | 7 | 5.6 | 702 | 12,659 | 33.3% | 0.0% | |
| 42.86% | 7 | 1.7 | 606 | 12,878 | 0.0% | 75.0% | |
| 42.86% | 7 | 5.0 | 623 | 9,056 | 50.0% | 0.0% | |
| 71.43% | 7 | 7.0 | 1,024 | 14,494 | 60.0% | 100.0% | |
| 42.86% | 7 | 2.5 | 823 | 12,033 | 25.0% | 66.7% | |
| 71.43% | 7 | 2.4 | 827 | 10,426 | 50.0% | 100.0% | |
| 50.00% | 6 | 6.3 | 892 | 13,924 | 66.7% | 33.3% | |
| 66.67% | 6 | 6.8 | 860 | 11,279 | 66.7% | 66.7% | |
| 50.00% | 6 | 2.8 | 980 | 13,574 | 66.7% | 33.3% | |
| 66.67% | 6 | 6.4 | 794 | 11,696 | 50.0% | 100.0% | |
| 60.00% | 5 | 5.7 | 1,154 | 12,476 | 100.0% | 33.3% | |
| 60.00% | 5 | 5.4 | 779 | 13,406 | 100.0% | 33.3% | |
| 60.00% | 5 | 6.5 | 973 | 13,955 | 50.0% | 66.7% | |
| 80.00% | 5 | 6.0 | 782 | 10,207 | 75.0% | 100.0% | |
| 20.00% | 5 | 4.5 | 738 | 9,110 | 25.0% | 0.0% | |
| 60.00% | 5 | 0.9 | 891 | 15,599 | 0.0% | 60.0% | |
| 40.00% | 5 | 2.5 | 834 | 12,252 | 33.3% | 50.0% | |
| 0.00% | 5 | 4.6 | 643 | 10,648 | 0.0% | 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 26.10 to Mordekaiser, Teemo, and Garen. 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 Mel, Ashe, and Maokai. 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, Teemo, and Garen w patchu 26.10. 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?
Mel, Ashe, and Maokai kontruja Olaf na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Olaf. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.