RumbleMatchupy
Dane matchupów Rumble dla League of Legends patch 26.4. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Rumble. Dowiedz się kogo Rumble pokonuje i komu przegrywa na linii.
Rumble Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Rumble 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 Rumble dla patcha 26.4 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Rumble, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Rumble, 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 |
|---|---|---|---|---|---|---|---|
| 36.54% | 52 | 5.8 | 939 | 11,070 | 40.7% | 32.0% | |
| 38.00% | 50 | 5.9 | 1,060 | 12,761 | 20.0% | 42.5% | |
| 48.89% | 45 | 5.7 | 934 | 12,481 | 37.5% | 55.2% | |
| 40.91% | 45 | 6.0 | 1,353 | 12,348 | 31.6% | 48.0% | |
| 61.36% | 44 | 6.0 | 1,068 | 11,780 | 75.0% | 50.0% | |
| 59.09% | 44 | 6.9 | 981 | 11,322 | 52.0% | 68.4% | |
| 33.33% | 42 | 6.5 | 982 | 12,223 | 50.0% | 23.1% | |
| 54.05% | 37 | 5.6 | 921 | 11,750 | 52.9% | 55.0% | |
| 51.35% | 37 | 6.0 | 863 | 11,420 | 46.7% | 54.5% | |
| 38.89% | 36 | 6.4 | 977 | 12,839 | 35.7% | 40.9% | |
| 45.71% | 35 | 5.5 | 996 | 11,726 | 40.0% | 50.0% | |
| 58.82% | 34 | 6.6 | 948 | 12,605 | 57.1% | 60.0% | |
| 42.42% | 33 | 6.1 | 1,090 | 11,931 | 38.9% | 46.7% | |
| 31.25% | 33 | 6.1 | 861 | 10,772 | 5.9% | 60.0% | |
| 43.75% | 32 | 6.0 | 900 | 11,353 | 37.5% | 50.0% | |
| 53.13% | 32 | 5.7 | 983 | 12,484 | 62.5% | 50.0% | |
| 46.88% | 32 | 6.5 | 815 | 11,476 | 44.4% | 50.0% | |
| 50.00% | 30 | 4.7 | 849 | 11,082 | 35.3% | 69.2% | |
| 55.17% | 29 | 6.7 | 973 | 10,999 | 62.5% | 46.1% | |
| 41.38% | 29 | 6.2 | 1,040 | 11,836 | 38.5% | 43.8% | |
| 46.43% | 28 | 5.8 | 1,024 | 12,218 | 54.5% | 41.2% | |
| 46.43% | 28 | 6.0 | 859 | 10,326 | 26.7% | 69.2% | |
| 32.14% | 28 | 6.3 | 909 | 11,650 | 27.3% | 35.3% | |
| 46.43% | 28 | 6.3 | 927 | 10,482 | 56.3% | 33.3% | |
| 42.31% | 26 | 6.0 | 1,079 | 12,204 | 50.0% | 35.7% | |
| 45.83% | 24 | 6.7 | 792 | 11,634 | 50.0% | 42.9% | |
| 50.00% | 22 | 6.5 | 959 | 11,341 | 44.4% | 53.9% | |
| 50.00% | 22 | 6.2 | 862 | 12,026 | 44.4% | 53.9% | |
| 33.33% | 22 | 6.7 | 921 | 11,707 | 30.0% | 36.4% | |
| 60.00% | 21 | 6.4 | 938 | 11,761 | 54.5% | 66.7% | |
| 38.10% | 21 | 6.8 | 980 | 13,002 | 37.5% | 38.5% | |
| 40.00% | 20 | 6.0 | 914 | 11,496 | 33.3% | 45.5% | |
| 50.00% | 20 | 6.4 | 866 | 12,171 | 20.0% | 60.0% | |
| 35.00% | 20 | 5.7 | 843 | 10,333 | 36.4% | 33.3% | |
| 42.11% | 19 | 5.5 | 818 | 12,150 | 50.0% | 33.3% | |
| 50.00% | 18 | 6.8 | 882 | 11,607 | 28.6% | 63.6% | |
| 58.82% | 17 | 6.1 | 1,242 | 12,633 | 33.3% | 72.7% | |
| 47.06% | 17 | 5.5 | 980 | 12,835 | 50.0% | 45.5% | |
| 41.18% | 17 | 6.2 | 705 | 10,670 | 44.4% | 37.5% | |
| 31.25% | 16 | 6.7 | 851 | 10,543 | 37.5% | 25.0% | |
| 37.50% | 16 | 6.0 | 904 | 12,568 | 40.0% | 36.4% | |
| 50.00% | 14 | 5.3 | 1,020 | 12,738 | 33.3% | 54.5% | |
| 64.29% | 14 | 6.7 | 787 | 11,631 | 60.0% | 66.7% | |
| 35.71% | 14 | 4.4 | 1,033 | 13,426 | 40.0% | 33.3% | |
| 46.15% | 13 | 3.0 | 724 | 10,980 | 55.6% | 25.0% | |
| 69.23% | 13 | 6.8 | 923 | 10,875 | 71.4% | 66.7% | |
| 33.33% | 12 | 6.5 | 1,035 | 11,133 | 28.6% | 40.0% | |
| 16.67% | 12 | 6.0 | 899 | 11,400 | 16.7% | 16.7% | |
| 83.33% | 12 | 2.7 | 1,022 | 15,310 | 66.7% | 88.9% | |
| 66.67% | 12 | 5.7 | 860 | 10,449 | 71.4% | 60.0% | |
| 58.33% | 12 | 6.1 | 883 | 10,523 | 60.0% | 57.1% | |
| 63.64% | 12 | 3.2 | 646 | 8,549 | 57.1% | 75.0% | |
| 72.73% | 11 | 6.0 | 985 | 12,830 | 100.0% | 70.0% | |
| 45.45% | 11 | 4.2 | 923 | 13,417 | 75.0% | 28.6% | |
| 30.00% | 10 | 1.6 | 979 | 14,323 | 0.0% | 37.5% | |
| 60.00% | 10 | 1.9 | 987 | 16,202 | 40.0% | 80.0% | |
| 50.00% | 10 | 6.2 | 914 | 9,720 | 60.0% | 40.0% | |
| 70.00% | 10 | 2.0 | 860 | 14,048 | 50.0% | 83.3% | |
| 66.67% | 9 | 5.7 | 857 | 13,534 | 75.0% | 60.0% | |
| 33.33% | 9 | 5.9 | 875 | 9,942 | 33.3% | 33.3% | |
| 55.56% | 9 | 2.9 | 998 | 12,768 | 33.3% | 66.7% | |
| 55.56% | 9 | 6.0 | 1,048 | 11,894 | 25.0% | 80.0% | |
| 66.67% | 9 | 5.8 | 600 | 9,674 | 66.7% | 66.7% | |
| 37.50% | 8 | 6.6 | 1,205 | 12,652 | 66.7% | 20.0% | |
| 62.50% | 8 | 2.7 | 1,103 | 15,044 | 33.3% | 80.0% | |
| 37.50% | 8 | 4.3 | 1,292 | 11,005 | 40.0% | 33.3% | |
| 62.50% | 8 | 5.0 | 970 | 12,430 | 75.0% | 50.0% | |
| 50.00% | 8 | 6.5 | 970 | 11,792 | 25.0% | 75.0% | |
| 28.57% | 7 | 5.7 | 909 | 12,112 | 25.0% | 33.3% | |
| 71.43% | 7 | 4.4 | 994 | 11,771 | 66.7% | 75.0% | |
| 28.57% | 7 | 6.3 | 802 | 11,158 | 0.0% | 50.0% | |
| 42.86% | 7 | 5.2 | 989 | 12,646 | 0.0% | 60.0% | |
| 28.57% | 7 | 2.9 | 880 | 11,458 | 25.0% | 33.3% | |
| 57.14% | 7 | 2.2 | 866 | 12,093 | 100.0% | 40.0% | |
| 57.14% | 7 | 3.1 | 896 | 12,831 | 66.7% | 50.0% | |
| 57.14% | 7 | 6.0 | 787 | 12,009 | 33.3% | 75.0% | |
| 57.14% | 7 | 6.6 | 866 | 10,140 | 40.0% | 100.0% | |
| 42.86% | 7 | 1.4 | 1,085 | 15,241 | 33.3% | 50.0% | |
| 85.71% | 7 | 1.9 | 964 | 15,715 | 100.0% | 83.3% | |
| 66.67% | 6 | 3.0 | 813 | 13,477 | 100.0% | 60.0% | |
| 50.00% | 6 | 3.1 | 1,144 | 14,777 | 66.7% | 33.3% | |
| 66.67% | 6 | 3.3 | 865 | 14,140 | 50.0% | 75.0% | |
| 83.33% | 6 | 5.6 | 769 | 10,685 | 66.7% | 100.0% | |
| 66.67% | 6 | 7.2 | 1,021 | 14,482 | 66.7% | 66.7% | |
| 20.00% | 5 | 2.9 | 887 | 9,303 | 0.0% | 50.0% | |
| 60.00% | 5 | 6.3 | 879 | 11,798 | 50.0% | 100.0% | |
| 20.00% | 5 | 4.9 | 717 | 8,858 | 0.0% | 50.0% | |
| 60.00% | 5 | 4.5 | 841 | 11,912 | 50.0% | 100.0% | |
| 40.00% | 5 | 6.2 | 851 | 10,296 | 66.7% | 0.0% | |
| 40.00% | 5 | 6.2 | 905 | 9,495 | 50.0% | 33.3% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Rumble - Czesto zadawane pytania
Jakie sa najlepsze matchupy Rumble w League of Legends?
Najlepsze matchupy Rumble w patchu 26.4 to Zaahen, Sett, and Jax. Rumble 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 Rumble?
Najgorsze matchupy Rumble to Sylas, Vi, and Sejuani. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Rumble i moga wykorzystac slabosci Rumble na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Rumble?
Mozesz sprawdzic dane matchupow Rumble 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 Rumble.
Kogo kontruje Rumble w League of Legends?
Rumble kontruje Zaahen, Sett, and Jax w patchu 26.4. To sa najbardziej korzystne matchupy Rumble, gdzie Rumble ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Rumble w szczegolach.
Kto kontruje Rumble na linii?
Sylas, Vi, and Sejuani kontruja Rumble na linii w patchu 26.4. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Rumble. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.