SmolderMatchupy
Dane matchupów Smolder dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Smolder. Dowiedz się kogo Smolder pokonuje i komu przegrywa na linii.
Smolder Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Smolder 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 Smolder dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Smolder, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Smolder, 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 |
|---|---|---|---|---|---|---|---|
| 52.61% | 2,418 | 6.8 | 949 | 13,306 | 50.8% | 53.9% | |
| 52.95% | 2,102 | 6.9 | 978 | 13,675 | 48.5% | 55.9% | |
| 52.54% | 1,831 | 6.7 | 969 | 13,456 | 49.3% | 54.5% | |
| 57.59% | 1,738 | 6.8 | 964 | 13,442 | 53.5% | 60.4% | |
| 53.22% | 1,708 | 7.0 | 987 | 13,542 | 51.4% | 54.5% | |
| 56.52% | 1,150 | 7.0 | 1,026 | 13,782 | 54.0% | 58.1% | |
| 55.74% | 888 | 7.0 | 1,009 | 13,857 | 54.5% | 56.6% | |
| 57.79% | 860 | 6.9 | 1,039 | 13,934 | 56.4% | 58.7% | |
| 51.34% | 820 | 6.8 | 899 | 13,240 | 54.0% | 49.4% | |
| 51.74% | 688 | 6.7 | 990 | 13,457 | 49.3% | 53.6% | |
| 52.40% | 624 | 6.7 | 942 | 13,358 | 50.0% | 54.0% | |
| 54.81% | 613 | 6.9 | 972 | 13,334 | 47.5% | 60.1% | |
| 55.42% | 572 | 6.8 | 948 | 13,141 | 54.6% | 56.1% | |
| 50.10% | 521 | 6.8 | 1,006 | 13,403 | 51.4% | 49.2% | |
| 57.14% | 518 | 7.0 | 981 | 13,558 | 57.7% | 56.8% | |
| 43.51% | 416 | 6.9 | 1,007 | 13,832 | 38.8% | 46.2% | |
| 53.33% | 390 | 6.9 | 916 | 13,295 | 46.9% | 57.8% | |
| 56.68% | 374 | 7.1 | 998 | 13,829 | 56.5% | 56.8% | |
| 52.69% | 373 | 7.1 | 1,028 | 13,826 | 46.0% | 57.1% | |
| 54.95% | 333 | 7.0 | 968 | 13,220 | 51.1% | 57.4% | |
| 56.84% | 285 | 7.0 | 1,023 | 13,479 | 57.0% | 56.7% | |
| 50.58% | 259 | 6.9 | 916 | 13,135 | 49.1% | 51.6% | |
| 51.39% | 251 | 6.9 | 1,036 | 13,893 | 41.4% | 57.9% | |
| 49.13% | 230 | 6.9 | 920 | 13,441 | 45.6% | 51.4% | |
| 51.54% | 227 | 7.3 | 1,006 | 13,739 | 42.2% | 57.7% | |
| 57.92% | 202 | 7.1 | 994 | 13,612 | 48.8% | 64.4% | |
| 46.75% | 169 | 6.6 | 855 | 13,034 | 46.1% | 47.1% | |
| 56.86% | 153 | 7.4 | 1,008 | 13,602 | 58.9% | 55.7% | |
| 51.32% | 152 | 7.1 | 1,044 | 13,858 | 59.4% | 45.5% | |
| 53.38% | 148 | 6.9 | 876 | 12,938 | 45.5% | 58.1% | |
| 53.28% | 137 | 6.8 | 1,047 | 13,700 | 37.0% | 63.9% | |
| 52.27% | 132 | 6.9 | 901 | 13,412 | 45.1% | 56.8% | |
| 53.60% | 125 | 6.7 | 895 | 13,034 | 48.0% | 57.3% | |
| 61.16% | 121 | 7.0 | 1,000 | 13,935 | 65.3% | 58.3% | |
| 51.92% | 104 | 7.2 | 1,043 | 13,572 | 61.5% | 46.1% | |
| 37.78% | 90 | 6.9 | 828 | 12,238 | 23.5% | 46.4% | |
| 57.47% | 87 | 6.8 | 1,022 | 13,905 | 53.1% | 60.0% | |
| 48.78% | 82 | 6.4 | 1,223 | 13,432 | 41.2% | 54.2% | |
| 68.83% | 77 | 6.9 | 838 | 12,593 | 66.7% | 71.4% | |
| 46.48% | 71 | 7.1 | 1,084 | 15,004 | 53.9% | 42.2% | |
| 57.14% | 70 | 7.2 | 1,122 | 12,992 | 58.1% | 56.4% | |
| 40.91% | 66 | 7.3 | 1,003 | 12,932 | 46.7% | 36.1% | |
| 37.10% | 62 | 6.8 | 1,011 | 11,694 | 33.3% | 39.5% | |
| 53.70% | 54 | 6.7 | 909 | 13,367 | 45.0% | 58.8% | |
| 51.92% | 52 | 7.0 | 960 | 12,889 | 45.5% | 56.7% | |
| 45.10% | 51 | 7.0 | 979 | 12,068 | 40.9% | 48.3% | |
| 47.62% | 42 | 7.2 | 847 | 12,536 | 43.8% | 50.0% | |
| 51.22% | 41 | 6.8 | 876 | 12,370 | 50.0% | 51.9% | |
| 60.98% | 41 | 7.3 | 1,040 | 12,541 | 52.6% | 68.2% | |
| 63.41% | 41 | 6.9 | 1,325 | 14,314 | 56.3% | 68.0% | |
| 23.68% | 38 | 7.3 | 823 | 12,096 | 16.7% | 30.0% | |
| 59.46% | 37 | 6.7 | 883 | 11,886 | 42.9% | 69.6% | |
| 59.46% | 37 | 7.4 | 1,041 | 14,537 | 75.0% | 52.0% | |
| 43.24% | 37 | 6.6 | 963 | 11,669 | 33.3% | 56.3% | |
| 44.44% | 36 | 6.8 | 951 | 13,435 | 50.0% | 40.9% | |
| 51.43% | 35 | 6.7 | 934 | 11,480 | 60.0% | 40.0% | |
| 54.55% | 33 | 6.8 | 1,057 | 13,650 | 38.5% | 65.0% | |
| 62.50% | 32 | 7.4 | 1,094 | 13,732 | 54.5% | 66.7% | |
| 64.52% | 31 | 7.1 | 894 | 13,085 | 58.3% | 68.4% | |
| 50.00% | 30 | 6.9 | 904 | 10,327 | 43.8% | 57.1% | |
| 50.00% | 30 | 7.2 | 802 | 11,117 | 50.0% | 50.0% | |
| 50.00% | 28 | 7.3 | 1,033 | 14,598 | 83.3% | 40.9% | |
| 50.00% | 26 | 5.8 | 1,051 | 11,896 | 41.7% | 57.1% | |
| 42.31% | 26 | 7.2 | 944 | 11,805 | 36.4% | 46.7% | |
| 56.00% | 25 | 6.9 | 974 | 11,186 | 46.1% | 66.7% | |
| 48.00% | 25 | 6.6 | 925 | 11,905 | 36.4% | 57.1% | |
| 56.00% | 25 | 7.5 | 1,105 | 13,141 | 80.0% | 40.0% | |
| 54.17% | 24 | 7.2 | 867 | 11,279 | 63.6% | 46.1% | |
| 58.33% | 24 | 7.4 | 1,147 | 13,761 | 55.6% | 60.0% | |
| 70.83% | 24 | 7.0 | 1,039 | 13,094 | 75.0% | 66.7% | |
| 54.17% | 24 | 6.8 | 1,222 | 14,486 | 50.0% | 56.3% | |
| 69.57% | 23 | 7.4 | 1,514 | 12,857 | 70.0% | 69.2% | |
| 56.52% | 23 | 7.4 | 939 | 12,750 | 54.5% | 58.3% | |
| 47.83% | 23 | 7.1 | 1,053 | 14,247 | 27.3% | 66.7% | |
| 50.00% | 22 | 7.3 | 1,068 | 13,961 | 50.0% | 50.0% | |
| 68.18% | 22 | 7.6 | 1,210 | 14,572 | 71.4% | 66.7% | |
| 50.00% | 22 | 6.3 | 938 | 12,354 | 22.2% | 69.2% | |
| 30.00% | 20 | 6.9 | 936 | 11,417 | 30.0% | 30.0% | |
| 40.00% | 20 | 7.0 | 898 | 11,539 | 22.2% | 54.5% | |
| 52.63% | 19 | 6.8 | 977 | 12,318 | 50.0% | 54.5% | |
| 47.37% | 19 | 7.1 | 1,248 | 12,587 | 33.3% | 53.9% | |
| 26.32% | 19 | 6.9 | 989 | 10,508 | 28.6% | 25.0% | |
| 36.84% | 19 | 7.1 | 1,112 | 14,074 | 50.0% | 33.3% | |
| 44.44% | 18 | 7.2 | 1,192 | 15,575 | 42.9% | 45.5% | |
| 44.44% | 18 | 7.7 | 1,048 | 12,950 | 25.0% | 50.0% | |
| 44.44% | 18 | 7.5 | 883 | 11,412 | 14.3% | 63.6% | |
| 70.59% | 17 | 7.0 | 949 | 13,006 | 66.7% | 72.7% | |
| 52.94% | 17 | 6.7 | 1,169 | 13,854 | 80.0% | 41.7% | |
| 35.29% | 17 | 6.5 | 761 | 11,287 | 28.6% | 40.0% | |
| 47.06% | 17 | 6.9 | 858 | 11,219 | 50.0% | 42.9% | |
| 75.00% | 16 | 6.2 | 1,238 | 12,925 | 33.3% | 100.0% | |
| 37.50% | 16 | 7.0 | 956 | 13,743 | 20.0% | 45.5% | |
| 37.50% | 16 | 6.3 | 1,039 | 11,833 | 25.0% | 50.0% | |
| 46.67% | 15 | 6.8 | 980 | 12,062 | 37.5% | 57.1% | |
| 42.86% | 14 | 7.1 | 971 | 12,313 | 33.3% | 50.0% | |
| 42.86% | 14 | 6.4 | 844 | 12,057 | 50.0% | 37.5% | |
| 38.46% | 13 | 6.4 | 872 | 10,114 | 28.6% | 50.0% | |
| 38.46% | 13 | 7.0 | 904 | 12,980 | 25.0% | 44.4% | |
| 61.54% | 13 | 7.4 | 921 | 14,291 | 50.0% | 66.7% | |
| 41.67% | 12 | 6.2 | 777 | 12,388 | 33.3% | 44.4% | |
| 50.00% | 12 | 6.9 | 957 | 10,278 | 50.0% | 50.0% | |
| 45.45% | 11 | 7.0 | 857 | 11,795 | 60.0% | 33.3% | |
| 60.00% | 10 | 7.3 | 1,099 | 15,260 | 50.0% | 62.5% | |
| 60.00% | 10 | 7.6 | 1,096 | 13,521 | 66.7% | 57.1% | |
| 40.00% | 10 | 6.4 | 844 | 11,681 | 100.0% | 14.3% | |
| 55.56% | 9 | 7.5 | 814 | 14,834 | 0.0% | 62.5% | |
| 66.67% | 9 | 7.0 | 1,128 | 11,248 | 40.0% | 100.0% | |
| 37.50% | 8 | 7.7 | 1,055 | 12,373 | 33.3% | 40.0% | |
| 50.00% | 8 | 7.2 | 1,308 | 13,992 | 50.0% | 50.0% | |
| 50.00% | 8 | 6.8 | 967 | 12,678 | 60.0% | 33.3% | |
| 50.00% | 8 | 7.2 | 1,077 | 13,234 | 50.0% | 50.0% | |
| 50.00% | 8 | 6.7 | 997 | 14,466 | 50.0% | 50.0% | |
| 62.50% | 8 | 6.6 | 1,112 | 12,848 | 33.3% | 80.0% | |
| 85.71% | 7 | 7.5 | 774 | 12,079 | 100.0% | 50.0% | |
| 42.86% | 7 | 6.8 | 1,083 | 15,852 | 50.0% | 40.0% | |
| 42.86% | 7 | 7.1 | 768 | 11,060 | 50.0% | 33.3% | |
| 57.14% | 7 | 5.8 | 950 | 12,619 | 50.0% | 60.0% | |
| 83.33% | 6 | 5.5 | 796 | 10,610 | 50.0% | 100.0% | |
| 66.67% | 6 | 5.7 | 793 | 9,884 | 50.0% | 75.0% | |
| 50.00% | 6 | 6.5 | 756 | 12,986 | 100.0% | 40.0% | |
| 83.33% | 6 | 5.7 | 775 | 11,135 | 100.0% | 66.7% | |
| 33.33% | 6 | 5.7 | 855 | 13,978 | 50.0% | 25.0% | |
| 50.00% | 6 | 6.9 | 936 | 11,294 | 66.7% | 33.3% | |
| 33.33% | 6 | 6.2 | 983 | 11,522 | 50.0% | 0.0% | |
| 50.00% | 6 | 7.3 | 1,175 | 14,005 | 33.3% | 66.7% | |
| 60.00% | 5 | 5.8 | 1,289 | 14,018 | 0.0% | 75.0% | |
| 40.00% | 5 | 6.7 | 889 | 12,300 | 0.0% | 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 Smolder - Czesto zadawane pytania
Jakie sa najlepsze matchupy Smolder w League of Legends?
Najlepsze matchupy Smolder w patchu 26.10 to Caitlyn, Ashe, and Miss Fortune. Smolder 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 Smolder?
Najgorsze matchupy Smolder to Syndra, Sett, and Tryndamere. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Smolder i moga wykorzystac slabosci Smolder na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Smolder?
Mozesz sprawdzic dane matchupow Smolder 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 Smolder.
Kogo kontruje Smolder w League of Legends?
Smolder kontruje Caitlyn, Ashe, and Miss Fortune w patchu 26.10. To sa najbardziej korzystne matchupy Smolder, gdzie Smolder ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Smolder w szczegolach.
Kto kontruje Smolder na linii?
Syndra, Sett, and Tryndamere kontruja Smolder na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Smolder. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.