RumbleMatchupy
Dane matchupów Rumble dla League of Legends patch 26.3. 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 26.3 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 |
|---|---|---|---|---|---|---|---|
| 58.18% | 55 | 5.6 | 1,074 | 11,991 | 56.0% | 60.0% | |
| 54.00% | 50 | 6.5 | 1,006 | 11,684 | 44.0% | 64.0% | |
| 46.94% | 49 | 6.2 | 903 | 11,651 | 57.1% | 39.3% | |
| 41.30% | 46 | 6.3 | 1,014 | 11,885 | 38.1% | 44.0% | |
| 57.78% | 45 | 6.1 | 1,053 | 12,485 | 56.3% | 58.6% | |
| 55.56% | 45 | 6.0 | 1,026 | 12,718 | 47.8% | 63.6% | |
| 50.00% | 44 | 5.7 | 1,367 | 12,208 | 58.3% | 40.0% | |
| 47.62% | 42 | 6.5 | 994 | 11,029 | 45.0% | 50.0% | |
| 45.24% | 42 | 6.0 | 919 | 11,013 | 43.5% | 47.4% | |
| 54.05% | 37 | 6.4 | 969 | 11,747 | 56.3% | 52.4% | |
| 50.00% | 32 | 5.8 | 1,072 | 11,563 | 50.0% | 50.0% | |
| 51.61% | 31 | 6.6 | 864 | 11,924 | 46.1% | 55.6% | |
| 46.67% | 30 | 5.9 | 878 | 11,072 | 46.7% | 46.7% | |
| 50.00% | 30 | 5.7 | 916 | 11,019 | 43.8% | 57.1% | |
| 46.67% | 30 | 6.3 | 891 | 11,208 | 53.9% | 41.2% | |
| 51.72% | 29 | 6.0 | 1,133 | 12,291 | 50.0% | 53.3% | |
| 65.52% | 29 | 6.5 | 994 | 12,927 | 80.0% | 57.9% | |
| 46.43% | 28 | 6.1 | 1,155 | 12,364 | 38.5% | 53.3% | |
| 46.43% | 28 | 5.9 | 1,029 | 12,045 | 40.0% | 50.0% | |
| 40.74% | 27 | 6.1 | 996 | 11,269 | 56.3% | 18.2% | |
| 62.96% | 27 | 6.4 | 1,114 | 12,948 | 66.7% | 60.0% | |
| 48.00% | 25 | 6.5 | 1,084 | 12,803 | 50.0% | 46.7% | |
| 52.17% | 23 | 5.4 | 1,180 | 12,269 | 57.1% | 50.0% | |
| 50.00% | 22 | 5.9 | 1,013 | 13,516 | 33.3% | 56.3% | |
| 59.09% | 22 | 5.9 | 1,050 | 11,216 | 55.6% | 61.5% | |
| 42.86% | 21 | 6.4 | 907 | 11,593 | 57.1% | 35.7% | |
| 42.86% | 21 | 5.5 | 1,060 | 11,944 | 44.4% | 41.7% | |
| 42.11% | 19 | 4.5 | 850 | 11,207 | 41.7% | 42.9% | |
| 42.11% | 19 | 6.1 | 792 | 9,606 | 40.0% | 44.4% | |
| 61.11% | 18 | 5.7 | 919 | 12,230 | 60.0% | 62.5% | |
| 66.67% | 18 | 7.2 | 893 | 12,397 | 77.8% | 55.6% | |
| 55.56% | 18 | 6.3 | 899 | 11,786 | 55.6% | 55.6% | |
| 52.94% | 17 | 6.5 | 915 | 12,213 | 60.0% | 50.0% | |
| 46.67% | 15 | 4.8 | 799 | 11,916 | 60.0% | 40.0% | |
| 60.00% | 15 | 1.5 | 973 | 12,859 | 87.5% | 28.6% | |
| 26.67% | 15 | 4.2 | 975 | 11,497 | 12.5% | 42.9% | |
| 50.00% | 14 | 5.5 | 1,022 | 13,373 | 25.0% | 60.0% | |
| 64.29% | 14 | 5.8 | 971 | 13,064 | 33.3% | 72.7% | |
| 28.57% | 14 | 6.2 | 943 | 10,930 | 50.0% | 0.0% | |
| 42.86% | 14 | 6.5 | 975 | 12,462 | 57.1% | 28.6% | |
| 38.46% | 13 | 6.4 | 724 | 11,111 | 33.3% | 42.9% | |
| 58.33% | 12 | 2.8 | 751 | 11,602 | 75.0% | 25.0% | |
| 75.00% | 12 | 5.6 | 926 | 10,867 | 60.0% | 85.7% | |
| 58.33% | 12 | 6.2 | 1,001 | 11,712 | 20.0% | 85.7% | |
| 25.00% | 12 | 5.9 | 978 | 10,363 | 16.7% | 33.3% | |
| 58.33% | 12 | 2.2 | 1,045 | 13,284 | 71.4% | 40.0% | |
| 54.55% | 11 | 3.6 | 759 | 10,507 | 57.1% | 50.0% | |
| 27.27% | 11 | 3.1 | 960 | 13,035 | 33.3% | 25.0% | |
| 54.55% | 11 | 5.9 | 862 | 10,830 | 100.0% | 28.6% | |
| 36.36% | 11 | 6.3 | 1,036 | 11,844 | 16.7% | 60.0% | |
| 50.00% | 10 | 5.8 | 1,025 | 12,302 | 33.3% | 57.1% | |
| 70.00% | 10 | 5.0 | 1,131 | 12,410 | 75.0% | 66.7% | |
| 90.00% | 10 | 6.6 | 879 | 9,129 | 85.7% | 100.0% | |
| 50.00% | 10 | 6.8 | 824 | 9,471 | 42.9% | 66.7% | |
| 60.00% | 10 | 4.0 | 779 | 12,705 | 50.0% | 66.7% | |
| 40.00% | 10 | 2.7 | 842 | 12,051 | 50.0% | 33.3% | |
| 40.00% | 10 | 6.2 | 911 | 10,296 | 50.0% | 25.0% | |
| 66.67% | 9 | 6.5 | 1,004 | 12,726 | 66.7% | 66.7% | |
| 11.11% | 9 | 6.3 | 916 | 10,905 | 0.0% | 25.0% | |
| 37.50% | 8 | 6.2 | 725 | 8,814 | 20.0% | 66.7% | |
| 62.50% | 8 | 2.8 | 903 | 12,580 | 80.0% | 33.3% | |
| 37.50% | 8 | 1.1 | 895 | 13,119 | 50.0% | 33.3% | |
| 28.57% | 7 | 6.4 | 912 | 11,462 | 50.0% | 0.0% | |
| 85.71% | 7 | 5.3 | 1,011 | 12,892 | 100.0% | 66.7% | |
| 28.57% | 7 | 6.8 | 803 | 9,572 | 33.3% | 0.0% | |
| 28.57% | 7 | 5.5 | 1,005 | 11,447 | 25.0% | 33.3% | |
| 85.71% | 7 | 3.5 | 970 | 11,195 | 80.0% | 100.0% | |
| 28.57% | 7 | 5.9 | 820 | 9,552 | 25.0% | 33.3% | |
| 57.14% | 7 | 6.0 | 1,059 | 12,991 | 100.0% | 25.0% | |
| 71.43% | 7 | 7.2 | 973 | 13,160 | 100.0% | 60.0% | |
| 50.00% | 6 | 5.6 | 767 | 11,113 | 33.3% | 66.7% | |
| 66.67% | 6 | 4.4 | 815 | 12,733 | 100.0% | 60.0% | |
| 33.33% | 6 | 5.5 | 1,104 | 13,959 | 50.0% | 25.0% | |
| 50.00% | 6 | 1.0 | 1,105 | 16,747 | 0.0% | 60.0% | |
| 50.00% | 6 | 1.3 | 822 | 12,405 | 50.0% | 50.0% | |
| 83.33% | 6 | 5.2 | 920 | 12,510 | 66.7% | 100.0% | |
| 50.00% | 6 | 2.2 | 1,077 | 15,634 | 0.0% | 50.0% | |
| 80.00% | 5 | 3.1 | 948 | 12,823 | 100.0% | 66.7% | |
| 80.00% | 5 | 1.5 | 868 | 13,265 | 100.0% | 50.0% | |
| 40.00% | 5 | 2.9 | 902 | 9,343 | 33.3% | 50.0% | |
| 40.00% | 5 | 6.0 | 964 | 11,060 | 33.3% | 50.0% | |
| 60.00% | 5 | 2.2 | 830 | 13,311 | 100.0% | 50.0% | |
| 20.00% | 5 | 2.2 | 1,020 | 12,996 | 33.3% | 0.0% | |
| 60.00% | 5 | 5.4 | 730 | 10,824 | 75.0% | 0.0% | |
| 80.00% | 5 | 6.3 | 1,063 | 13,016 | 66.7% | 100.0% | |
| 40.00% | 5 | 6.7 | 818 | 11,287 | 66.7% | 0.0% | |
| 80.00% | 5 | 5.2 | 1,002 | 12,360 | 100.0% | 66.7% | |
| 60.00% | 5 | 1.9 | 820 | 11,732 | 0.0% | 100.0% | |
| 40.00% | 5 | 1.2 | 1,178 | 16,426 | 66.7% | 0.0% | |
| 80.00% | 5 | 2.8 | 1,203 | 13,312 | 66.7% | 100.0% | |
| 100.00% | 5 | 5.7 | 1,172 | 13,644 | 100.0% | 100.0% | |
| 60.00% | 5 | 3.5 | 822 | 11,416 | 75.0% | 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 Rumble - Czesto zadawane pytania
Jakie sa najlepsze matchupy Rumble w League of Legends?
Najlepsze matchupy Rumble w patchu 26.3 to Zaahen, Garen, and Teemo. 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 Olaf, Lillia, and Pantheon. 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, Garen, and Teemo w patchu 26.3. 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?
Olaf, Lillia, and Pantheon kontruja Rumble na linii w patchu 26.3. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Rumble. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.