
AmbessaMatchupy
Dane matchupów Ambessa dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Ambessa. Dowiedz się kogo Ambessa pokonuje i komu przegrywa na linii.
Ambessa Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Ambessa 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 Ambessa dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Ambessa, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Ambessa, 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 |
|---|---|---|---|---|---|---|---|
| 42.99% | 107 | 5.5 | 751 | 11,631 | 47.8% | 39.3% | |
| 40.00% | 100 | 6.2 | 842 | 11,154 | 32.5% | 45.0% | |
| 46.07% | 89 | 5.7 | 835 | 11,825 | 51.4% | 42.6% | |
| 47.67% | 86 | 1.5 | 840 | 13,647 | 48.6% | 46.9% | |
| 51.16% | 86 | 6.2 | 923 | 11,017 | 52.6% | 50.0% | |
| 47.56% | 82 | 5.6 | 770 | 11,306 | 48.4% | 47.1% | |
| 41.56% | 77 | 1.2 | 676 | 13,265 | 37.5% | 44.4% | |
| 40.79% | 76 | 2.6 | 746 | 12,187 | 30.0% | 47.8% | |
| 44.00% | 75 | 6.1 | 816 | 12,201 | 32.1% | 51.1% | |
| 47.22% | 72 | 2.1 | 759 | 12,531 | 56.7% | 40.5% | |
| 52.78% | 72 | 6.2 | 809 | 12,044 | 67.9% | 43.2% | |
| 49.28% | 69 | 2.8 | 907 | 12,450 | 54.3% | 44.1% | |
| 47.83% | 69 | 6.4 | 873 | 10,867 | 43.6% | 53.3% | |
| 39.39% | 66 | 1.6 | 645 | 12,363 | 46.1% | 35.0% | |
| 46.97% | 66 | 4.6 | 806 | 10,539 | 46.0% | 48.3% | |
| 50.00% | 64 | 4.4 | 832 | 11,719 | 54.8% | 45.5% | |
| 44.44% | 63 | 1.1 | 751 | 13,040 | 56.0% | 36.8% | |
| 41.27% | 63 | 1.6 | 724 | 12,736 | 42.9% | 40.0% | |
| 53.23% | 62 | 6.1 | 877 | 11,331 | 55.9% | 50.0% | |
| 50.88% | 57 | 1.2 | 753 | 13,565 | 50.0% | 51.5% | |
| 49.12% | 57 | 5.4 | 968 | 12,458 | 40.9% | 54.3% | |
| 47.27% | 55 | 6.2 | 1,373 | 12,371 | 31.8% | 57.6% | |
| 59.26% | 54 | 6.4 | 889 | 12,552 | 70.8% | 50.0% | |
| 55.56% | 54 | 6.3 | 1,155 | 12,999 | 86.7% | 43.6% | |
| 40.74% | 54 | 1.2 | 751 | 12,742 | 44.4% | 37.0% | |
| 49.06% | 53 | 6.2 | 771 | 11,193 | 50.0% | 48.3% | |
| 52.00% | 50 | 5.5 | 778 | 10,893 | 52.2% | 51.9% | |
| 42.86% | 49 | 6.0 | 883 | 10,989 | 34.8% | 50.0% | |
| 57.14% | 49 | 6.6 | 998 | 12,135 | 65.2% | 50.0% | |
| 59.18% | 49 | 1.7 | 784 | 14,812 | 63.6% | 57.9% | |
| 48.98% | 49 | 7.1 | 964 | 11,945 | 33.3% | 60.7% | |
| 44.68% | 47 | 4.4 | 691 | 11,310 | 30.0% | 55.6% | |
| 50.00% | 46 | 6.2 | 764 | 10,961 | 50.0% | 50.0% | |
| 52.17% | 46 | 6.7 | 891 | 12,119 | 66.7% | 42.9% | |
| 53.33% | 45 | 3.0 | 795 | 12,415 | 52.2% | 54.5% | |
| 45.24% | 42 | 2.8 | 785 | 12,761 | 44.4% | 45.8% | |
| 36.59% | 41 | 6.2 | 929 | 10,247 | 45.8% | 23.5% | |
| 41.03% | 39 | 5.7 | 958 | 12,289 | 31.3% | 47.8% | |
| 58.97% | 39 | 1.3 | 892 | 14,313 | 35.3% | 77.3% | |
| 50.00% | 38 | 2.3 | 679 | 10,333 | 50.0% | 50.0% | |
| 44.74% | 38 | 1.3 | 724 | 13,415 | 64.3% | 33.3% | |
| 52.63% | 38 | 5.8 | 816 | 10,642 | 60.0% | 47.8% | |
| 64.86% | 37 | 6.3 | 942 | 12,320 | 50.0% | 72.0% | |
| 45.95% | 37 | 3.6 | 700 | 12,849 | 60.0% | 40.7% | |
| 55.56% | 36 | 6.1 | 905 | 11,111 | 65.0% | 43.8% | |
| 51.43% | 35 | 6.9 | 889 | 11,547 | 64.3% | 42.9% | |
| 41.18% | 34 | 2.5 | 799 | 12,893 | 25.0% | 50.0% | |
| 51.52% | 33 | 1.2 | 864 | 13,116 | 53.9% | 50.0% | |
| 53.13% | 32 | 6.4 | 937 | 12,774 | 71.4% | 38.9% | |
| 46.88% | 32 | 1.4 | 704 | 13,687 | 38.5% | 52.6% | |
| 54.84% | 31 | 1.4 | 754 | 13,738 | 57.1% | 52.9% | |
| 41.94% | 31 | 2.1 | 686 | 12,557 | 37.5% | 46.7% | |
| 45.16% | 31 | 5.7 | 805 | 10,778 | 30.8% | 55.6% | |
| 53.33% | 30 | 6.6 | 983 | 12,042 | 57.1% | 50.0% | |
| 37.93% | 29 | 1.2 | 669 | 12,915 | 30.8% | 43.8% | |
| 41.38% | 29 | 5.7 | 911 | 12,031 | 50.0% | 36.8% | |
| 55.17% | 29 | 6.3 | 886 | 11,840 | 50.0% | 60.0% | |
| 42.86% | 28 | 6.0 | 805 | 10,055 | 43.8% | 41.7% | |
| 46.43% | 28 | 1.2 | 875 | 12,340 | 53.3% | 38.5% | |
| 59.26% | 27 | 6.3 | 670 | 10,235 | 53.3% | 66.7% | |
| 42.31% | 26 | 2.9 | 901 | 14,072 | 42.9% | 42.1% | |
| 42.31% | 26 | 5.3 | 695 | 11,531 | 40.0% | 45.5% | |
| 52.00% | 25 | 6.1 | 825 | 11,364 | 40.0% | 60.0% | |
| 52.00% | 25 | 1.5 | 725 | 12,521 | 38.5% | 66.7% | |
| 56.00% | 25 | 4.7 | 850 | 12,710 | 50.0% | 61.5% | |
| 60.00% | 25 | 4.7 | 863 | 11,378 | 64.3% | 54.5% | |
| 36.00% | 25 | 1.1 | 708 | 11,517 | 40.0% | 30.0% | |
| 58.33% | 24 | 1.5 | 825 | 12,739 | 60.0% | 55.6% | |
| 54.17% | 24 | 5.3 | 1,019 | 11,558 | 50.0% | 57.1% | |
| 43.48% | 23 | 6.4 | 766 | 9,792 | 54.5% | 33.3% | |
| 45.45% | 22 | 5.8 | 683 | 11,445 | 55.6% | 38.5% | |
| 47.62% | 21 | 6.5 | 892 | 11,850 | 44.4% | 50.0% | |
| 52.38% | 21 | 1.7 | 810 | 14,349 | 40.0% | 56.3% | |
| 38.10% | 21 | 2.0 | 833 | 13,071 | 12.5% | 53.9% | |
| 23.81% | 21 | 5.7 | 795 | 10,305 | 29.4% | 0.0% | |
| 55.00% | 20 | 0.8 | 654 | 13,248 | 66.7% | 45.5% | |
| 40.00% | 20 | 0.9 | 660 | 13,163 | 33.3% | 45.5% | |
| 50.00% | 20 | 1.8 | 657 | 12,711 | 37.5% | 58.3% | |
| 47.37% | 19 | 1.7 | 942 | 14,688 | 28.6% | 58.3% | |
| 42.11% | 19 | 4.2 | 725 | 11,031 | 40.0% | 44.4% | |
| 72.22% | 18 | 6.5 | 960 | 11,457 | 75.0% | 66.7% | |
| 35.29% | 17 | 1.4 | 640 | 12,845 | 33.3% | 37.5% | |
| 52.94% | 17 | 5.6 | 624 | 11,446 | 57.1% | 50.0% | |
| 41.18% | 17 | 5.9 | 828 | 11,796 | 40.0% | 41.7% | |
| 37.50% | 16 | 5.6 | 744 | 11,081 | 28.6% | 44.4% | |
| 68.75% | 16 | 4.5 | 947 | 11,258 | 75.0% | 62.5% | |
| 40.00% | 15 | 1.6 | 795 | 13,709 | 50.0% | 36.4% | |
| 69.23% | 13 | 1.6 | 803 | 12,555 | 60.0% | 75.0% | |
| 61.54% | 13 | 6.1 | 992 | 14,711 | 75.0% | 55.6% | |
| 46.15% | 13 | 6.3 | 965 | 13,287 | 50.0% | 42.9% | |
| 45.45% | 11 | 5.9 | 756 | 12,511 | 25.0% | 57.1% | |
| 36.36% | 11 | 6.3 | 832 | 13,836 | 100.0% | 22.2% | |
| 36.36% | 11 | 1.9 | 850 | 14,070 | 25.0% | 42.9% | |
| 70.00% | 10 | 1.0 | 596 | 11,720 | 57.1% | 100.0% | |
| 50.00% | 10 | 6.4 | 1,011 | 11,860 | 50.0% | 50.0% | |
| 70.00% | 10 | 6.3 | 682 | 11,424 | 75.0% | 66.7% | |
| 60.00% | 10 | 6.6 | 841 | 8,716 | 50.0% | 66.7% | |
| 66.67% | 9 | 5.9 | 829 | 11,659 | 75.0% | 60.0% | |
| 37.50% | 8 | 6.8 | 888 | 12,306 | 50.0% | 25.0% | |
| 62.50% | 8 | 6.6 | 733 | 9,647 | 40.0% | 100.0% | |
| 37.50% | 8 | 6.5 | 773 | 13,042 | 50.0% | 25.0% | |
| 28.57% | 7 | 6.1 | 626 | 12,085 | 0.0% | 50.0% | |
| 28.57% | 7 | 5.3 | 744 | 9,528 | 40.0% | 0.0% | |
| 85.71% | 7 | 3.2 | 936 | 14,863 | 100.0% | 80.0% | |
| 42.86% | 7 | 6.3 | 969 | 10,453 | 50.0% | 33.3% | |
| 14.29% | 7 | 4.0 | 832 | 11,730 | 33.3% | 0.0% | |
| 14.29% | 7 | 5.4 | 886 | 10,675 | 20.0% | 0.0% | |
| 50.00% | 6 | 6.3 | 925 | 12,876 | 0.0% | 60.0% | |
| 33.33% | 6 | 6.5 | 1,109 | 11,479 | 100.0% | 0.0% | |
| 66.67% | 6 | 3.4 | 791 | 12,223 | 50.0% | 100.0% | |
| 50.00% | 6 | 3.7 | 644 | 12,867 | 0.0% | 75.0% | |
| 100.00% | 5 | 6.1 | 765 | 11,172 | 100.0% | 100.0% | |
| 40.00% | 5 | 6.3 | 738 | 12,172 | 33.3% | 50.0% | |
| 60.00% | 5 | 6.7 | 930 | 13,639 | 66.7% | 50.0% | |
| 60.00% | 5 | 6.0 | 1,263 | 13,123 | 50.0% | 66.7% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Ambessa - Czesto zadawane pytania
Jakie sa najlepsze matchupy Ambessa w League of Legends?
Najlepsze matchupy Ambessa w patchu 26.10 to Teemo, Garen, and Mordekaiser. Ambessa 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 Ambessa?
Najgorsze matchupy Ambessa to Maokai, Galio, and Olaf. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Ambessa i moga wykorzystac slabosci Ambessa na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Ambessa?
Mozesz sprawdzic dane matchupow Ambessa 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 Ambessa.
Kogo kontruje Ambessa w League of Legends?
Ambessa kontruje Teemo, Garen, and Mordekaiser w patchu 26.10. To sa najbardziej korzystne matchupy Ambessa, gdzie Ambessa ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Ambessa w szczegolach.
Kto kontruje Ambessa na linii?
Maokai, Galio, and Olaf kontruja Ambessa na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Ambessa. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.