
SmolderMatchupy
Dane matchupów Smolder dla League of Legends patch 26.7. 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 26.7 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 |
|---|---|---|---|---|---|---|---|
| 52.62% | 534 | 7.1 | 992 | 14,046 | 56.0% | 50.5% | |
| 47.30% | 482 | 7.1 | 976 | 13,628 | 51.9% | 43.8% | |
| 45.36% | 463 | 7.2 | 956 | 13,713 | 47.0% | 44.0% | |
| 52.44% | 450 | 6.9 | 993 | 14,215 | 56.3% | 50.3% | |
| 50.92% | 436 | 7.1 | 994 | 14,159 | 48.2% | 52.6% | |
| 51.72% | 319 | 7.3 | 1,036 | 14,133 | 42.0% | 59.1% | |
| 52.73% | 256 | 7.3 | 1,097 | 14,389 | 54.8% | 51.1% | |
| 54.63% | 227 | 7.0 | 1,013 | 14,121 | 53.1% | 55.8% | |
| 54.21% | 214 | 7.2 | 1,021 | 13,926 | 51.0% | 56.8% | |
| 47.18% | 195 | 6.9 | 960 | 14,143 | 48.7% | 46.2% | |
| 48.95% | 143 | 6.9 | 980 | 13,302 | 51.4% | 46.6% | |
| 51.47% | 136 | 7.3 | 1,029 | 14,300 | 50.0% | 52.6% | |
| 54.48% | 134 | 7.1 | 950 | 13,663 | 50.9% | 57.1% | |
| 45.31% | 128 | 7.3 | 955 | 13,731 | 50.0% | 40.6% | |
| 51.59% | 126 | 6.9 | 1,010 | 14,095 | 41.8% | 59.1% | |
| 50.85% | 118 | 6.9 | 941 | 13,441 | 43.8% | 55.7% | |
| 50.43% | 115 | 7.2 | 1,046 | 13,867 | 48.1% | 52.5% | |
| 46.30% | 108 | 7.8 | 1,065 | 13,693 | 45.6% | 46.8% | |
| 54.46% | 101 | 7.3 | 1,112 | 15,010 | 62.5% | 49.2% | |
| 55.81% | 86 | 7.2 | 981 | 14,565 | 51.4% | 58.8% | |
| 51.95% | 77 | 7.4 | 993 | 13,586 | 50.0% | 54.0% | |
| 48.00% | 75 | 7.4 | 976 | 13,746 | 50.0% | 46.3% | |
| 50.00% | 68 | 7.0 | 897 | 13,084 | 39.3% | 57.5% | |
| 57.35% | 68 | 7.3 | 978 | 14,711 | 42.1% | 63.3% | |
| 43.10% | 58 | 7.4 | 1,047 | 13,679 | 56.0% | 33.3% | |
| 56.90% | 58 | 7.0 | 968 | 14,398 | 65.0% | 52.6% | |
| 56.60% | 53 | 7.1 | 999 | 14,080 | 45.8% | 65.5% | |
| 65.38% | 52 | 7.3 | 1,096 | 14,858 | 65.0% | 65.6% | |
| 60.42% | 48 | 7.1 | 1,063 | 13,560 | 54.5% | 65.4% | |
| 53.33% | 45 | 7.2 | 1,301 | 14,841 | 66.7% | 38.1% | |
| 50.00% | 42 | 6.7 | 780 | 12,280 | 41.2% | 56.0% | |
| 60.53% | 38 | 7.3 | 1,033 | 14,214 | 46.7% | 69.6% | |
| 34.21% | 38 | 7.6 | 1,115 | 15,419 | 38.5% | 32.0% | |
| 34.62% | 26 | 7.1 | 1,136 | 12,458 | 36.4% | 33.3% | |
| 42.31% | 26 | 7.2 | 1,011 | 13,331 | 66.7% | 29.4% | |
| 47.62% | 21 | 7.2 | 972 | 15,830 | 60.0% | 43.8% | |
| 52.38% | 21 | 7.5 | 958 | 12,399 | 50.0% | 55.6% | |
| 66.67% | 18 | 7.1 | 929 | 12,163 | 66.7% | 66.7% | |
| 55.56% | 18 | 7.2 | 1,032 | 13,043 | 62.5% | 50.0% | |
| 50.00% | 18 | 7.5 | 1,201 | 14,302 | 40.0% | 53.9% | |
| 70.59% | 17 | 7.2 | 755 | 10,876 | 55.6% | 87.5% | |
| 52.94% | 17 | 7.0 | 1,133 | 16,242 | 50.0% | 53.9% | |
| 43.75% | 16 | 7.5 | 850 | 13,446 | 0.0% | 63.6% | |
| 43.75% | 16 | 6.6 | 997 | 14,016 | 33.3% | 50.0% | |
| 40.00% | 15 | 7.0 | 1,114 | 12,840 | 40.0% | 40.0% | |
| 60.00% | 15 | 6.7 | 865 | 13,598 | 20.0% | 80.0% | |
| 46.67% | 15 | 7.9 | 946 | 12,895 | 44.4% | 50.0% | |
| 57.14% | 14 | 6.6 | 1,284 | 12,603 | 50.0% | 62.5% | |
| 50.00% | 14 | 7.3 | 860 | 12,605 | 57.1% | 42.9% | |
| 61.54% | 13 | 7.2 | 828 | 13,365 | 80.0% | 50.0% | |
| 23.08% | 13 | 7.4 | 981 | 13,847 | 25.0% | 22.2% | |
| 30.77% | 13 | 7.0 | 817 | 12,405 | 0.0% | 50.0% | |
| 66.67% | 12 | 7.2 | 875 | 13,165 | 100.0% | 50.0% | |
| 66.67% | 12 | 7.0 | 1,161 | 10,970 | 66.7% | 66.7% | |
| 66.67% | 12 | 7.1 | 889 | 14,471 | 75.0% | 62.5% | |
| 33.33% | 12 | 7.4 | 1,363 | 13,527 | 16.7% | 50.0% | |
| 33.33% | 12 | 6.5 | 720 | 11,125 | 33.3% | 33.3% | |
| 27.27% | 11 | 6.6 | 1,128 | 13,784 | 33.3% | 25.0% | |
| 81.82% | 11 | 8.1 | 1,047 | 13,715 | 66.7% | 100.0% | |
| 36.36% | 11 | 7.5 | 977 | 11,225 | 25.0% | 42.9% | |
| 72.73% | 11 | 7.3 | 1,237 | 15,324 | 75.0% | 71.4% | |
| 50.00% | 10 | 8.2 | 940 | 13,852 | 75.0% | 33.3% | |
| 70.00% | 10 | 7.0 | 1,084 | 15,758 | 100.0% | 62.5% | |
| 60.00% | 10 | 6.9 | 1,316 | 12,805 | 83.3% | 25.0% | |
| 55.56% | 9 | 7.4 | 1,171 | 14,080 | 50.0% | 60.0% | |
| 44.44% | 9 | 6.8 | 973 | 12,682 | 33.3% | 50.0% | |
| 100.00% | 9 | 7.9 | 1,031 | 13,078 | 100.0% | 100.0% | |
| 55.56% | 9 | 6.3 | 796 | 10,731 | 33.3% | 100.0% | |
| 44.44% | 9 | 7.4 | 1,015 | 13,309 | 25.0% | 60.0% | |
| 75.00% | 8 | 6.8 | 1,093 | 11,746 | 83.3% | 50.0% | |
| 50.00% | 8 | 8.4 | 1,332 | 11,265 | 40.0% | 66.7% | |
| 25.00% | 8 | 6.9 | 851 | 11,512 | 50.0% | 0.0% | |
| 62.50% | 8 | 6.8 | 785 | 12,861 | 100.0% | 50.0% | |
| 50.00% | 8 | 6.8 | 804 | 10,653 | 33.3% | 60.0% | |
| 57.14% | 7 | 7.2 | 985 | 14,265 | 100.0% | 25.0% | |
| 28.57% | 7 | 6.3 | 1,002 | 13,829 | 100.0% | 16.7% | |
| 28.57% | 7 | 8.1 | 843 | 12,081 | 0.0% | 40.0% | |
| 57.14% | 7 | 7.5 | 1,065 | 16,642 | 0.0% | 66.7% | |
| 71.43% | 7 | 7.5 | 1,114 | 15,154 | 50.0% | 100.0% | |
| 83.33% | 6 | 7.2 | 1,088 | 15,496 | 100.0% | 75.0% | |
| 33.33% | 6 | 7.0 | 937 | 14,440 | 50.0% | 25.0% | |
| 66.67% | 6 | 7.0 | 1,194 | 12,231 | 75.0% | 50.0% | |
| 33.33% | 6 | 6.3 | 574 | 10,403 | 0.0% | 100.0% | |
| 33.33% | 6 | 7.1 | 1,022 | 15,031 | 0.0% | 33.3% | |
| 80.00% | 5 | 7.1 | 1,167 | 14,481 | 50.0% | 100.0% | |
| 60.00% | 5 | 6.9 | 1,062 | 14,583 | 100.0% | 50.0% | |
| 60.00% | 5 | 7.6 | 1,402 | 14,307 | 0.0% | 100.0% | |
| 80.00% | 5 | 7.1 | 956 | 11,937 | 66.7% | 100.0% | |
| 20.00% | 5 | 7.0 | 1,233 | 17,257 | 0.0% | 20.0% | |
| 80.00% | 5 | 7.1 | 1,127 | 15,057 | 100.0% | 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 26.7 to Caitlyn, Ashe, and Jinx. 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 Briar, Lissandra, and Darius. 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 Jinx w patchu 26.7. 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?
Briar, Lissandra, and Darius kontruja Smolder na linii w patchu 26.7. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Smolder. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.