SettMatchupy
Dane matchupów Sett dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Sett. Dowiedz się kogo Sett pokonuje i komu przegrywa na linii.
Sett Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Sett 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 Sett dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Sett, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Sett, runy, statystyki liniowe i analize wczesnej vs poznej gry dla tego konkretnego matchupu.
Opponent | Win Rate | Matches | CS/min | DMG/min | Gold/game | Early WR | Late WR |
|---|---|---|---|---|---|---|---|
| 50.86% | 405 | 6.4 | 993 | 12,373 | 43.9% | 56.0% | |
| 49.85% | 331 | 5.7 | 914 | 11,827 | 44.1% | 53.9% | |
| 53.61% | 319 | 6.0 | 967 | 12,086 | 57.1% | 51.1% | |
| 45.91% | 281 | 5.5 | 774 | 12,136 | 45.4% | 46.1% | |
| 49.60% | 252 | 6.1 | 790 | 11,346 | 49.5% | 49.6% | |
| 49.07% | 214 | 6.2 | 914 | 11,483 | 45.2% | 52.1% | |
| 48.19% | 193 | 6.1 | 943 | 11,675 | 42.9% | 52.3% | |
| 51.05% | 190 | 5.7 | 954 | 11,261 | 46.5% | 54.8% | |
| 48.81% | 168 | 6.1 | 887 | 12,013 | 45.7% | 51.7% | |
| 49.10% | 167 | 6.4 | 1,334 | 11,667 | 52.9% | 46.5% | |
| 45.68% | 162 | 6.0 | 937 | 11,972 | 40.0% | 49.0% | |
| 54.79% | 146 | 6.2 | 1,029 | 12,764 | 58.3% | 52.3% | |
| 47.95% | 146 | 6.2 | 959 | 11,348 | 50.0% | 46.0% | |
| 51.47% | 136 | 6.4 | 1,166 | 13,214 | 41.5% | 57.8% | |
| 50.39% | 129 | 5.8 | 1,117 | 12,473 | 58.3% | 45.7% | |
| 51.16% | 129 | 6.2 | 894 | 11,766 | 54.8% | 47.8% | |
| 49.61% | 127 | 6.1 | 1,034 | 12,116 | 55.0% | 44.8% | |
| 51.61% | 124 | 6.5 | 965 | 12,134 | 49.1% | 53.7% | |
| 52.07% | 121 | 6.1 | 794 | 11,255 | 56.7% | 47.5% | |
| 51.75% | 114 | 6.3 | 945 | 11,797 | 51.9% | 51.7% | |
| 54.87% | 113 | 5.9 | 876 | 12,319 | 51.1% | 57.4% | |
| 51.79% | 112 | 5.9 | 1,077 | 12,159 | 50.0% | 52.7% | |
| 43.93% | 107 | 5.5 | 739 | 11,584 | 36.7% | 50.0% | |
| 56.07% | 107 | 6.2 | 905 | 11,901 | 64.7% | 48.2% | |
| 55.24% | 105 | 5.9 | 805 | 11,117 | 51.0% | 59.3% | |
| 45.71% | 105 | 5.4 | 774 | 10,873 | 48.0% | 43.6% | |
| 52.88% | 104 | 5.8 | 862 | 10,925 | 48.0% | 57.4% | |
| 53.61% | 97 | 6.8 | 905 | 12,519 | 53.5% | 53.7% | |
| 55.17% | 87 | 5.7 | 887 | 11,551 | 52.2% | 58.5% | |
| 48.84% | 86 | 6.2 | 879 | 11,414 | 47.4% | 50.0% | |
| 45.24% | 84 | 5.9 | 783 | 11,369 | 39.4% | 49.0% | |
| 36.25% | 80 | 6.1 | 1,031 | 12,599 | 29.6% | 39.6% | |
| 57.69% | 78 | 6.1 | 938 | 12,331 | 51.7% | 61.2% | |
| 56.41% | 78 | 6.3 | 908 | 11,966 | 57.5% | 55.3% | |
| 53.25% | 77 | 5.9 | 909 | 12,012 | 38.7% | 63.0% | |
| 53.73% | 67 | 6.5 | 934 | 11,911 | 57.6% | 50.0% | |
| 58.21% | 67 | 6.4 | 1,007 | 12,279 | 59.0% | 57.1% | |
| 59.38% | 64 | 5.8 | 1,104 | 12,356 | 53.9% | 63.2% | |
| 46.03% | 63 | 5.4 | 896 | 11,599 | 44.8% | 47.1% | |
| 45.90% | 61 | 6.0 | 826 | 12,106 | 47.8% | 44.7% | |
| 52.54% | 59 | 5.8 | 980 | 12,443 | 51.5% | 53.9% | |
| 46.43% | 56 | 6.4 | 962 | 11,949 | 57.7% | 36.7% | |
| 52.94% | 51 | 5.9 | 767 | 12,572 | 42.9% | 56.8% | |
| 33.33% | 51 | 5.6 | 644 | 10,940 | 33.3% | 33.3% | |
| 53.06% | 49 | 6.2 | 808 | 10,821 | 50.0% | 55.6% | |
| 47.92% | 48 | 5.8 | 780 | 11,341 | 42.1% | 51.7% | |
| 51.16% | 43 | 6.3 | 811 | 12,434 | 52.9% | 50.0% | |
| 41.03% | 39 | 6.0 | 781 | 12,257 | 21.4% | 52.0% | |
| 58.97% | 39 | 5.8 | 901 | 12,678 | 61.5% | 57.7% | |
| 47.37% | 38 | 5.6 | 762 | 11,345 | 40.0% | 52.2% | |
| 44.44% | 36 | 5.5 | 855 | 11,869 | 56.3% | 35.0% | |
| 72.73% | 33 | 5.3 | 834 | 12,533 | 78.6% | 68.4% | |
| 59.38% | 32 | 6.1 | 983 | 12,676 | 70.0% | 54.5% | |
| 53.13% | 32 | 5.5 | 853 | 11,252 | 33.3% | 65.0% | |
| 64.29% | 28 | 5.9 | 898 | 11,404 | 66.7% | 61.5% | |
| 65.22% | 23 | 5.4 | 883 | 13,398 | 44.4% | 78.6% | |
| 43.48% | 23 | 4.8 | 836 | 11,467 | 58.3% | 27.3% | |
| 42.86% | 21 | 5.1 | 932 | 12,004 | 33.3% | 50.0% | |
| 60.00% | 20 | 4.0 | 739 | 12,180 | 57.1% | 61.5% | |
| 73.68% | 19 | 6.1 | 709 | 11,229 | 71.4% | 75.0% | |
| 42.11% | 19 | 6.0 | 549 | 9,948 | 55.6% | 30.0% | |
| 47.37% | 19 | 6.0 | 768 | 10,947 | 50.0% | 44.4% | |
| 72.22% | 18 | 4.4 | 887 | 12,989 | 42.9% | 90.9% | |
| 35.29% | 17 | 5.8 | 669 | 11,472 | 28.6% | 40.0% | |
| 52.94% | 17 | 6.0 | 804 | 11,350 | 66.7% | 45.5% | |
| 64.71% | 17 | 3.9 | 837 | 12,991 | 83.3% | 54.5% | |
| 43.75% | 16 | 3.9 | 990 | 14,135 | 40.0% | 45.5% | |
| 43.75% | 16 | 2.9 | 669 | 10,728 | 50.0% | 40.0% | |
| 50.00% | 16 | 5.8 | 1,062 | 16,107 | 100.0% | 42.9% | |
| 43.75% | 16 | 5.6 | 769 | 12,241 | 50.0% | 40.0% | |
| 46.67% | 15 | 2.0 | 635 | 9,875 | 25.0% | 71.4% | |
| 35.71% | 14 | 6.0 | 774 | 12,018 | 16.7% | 50.0% | |
| 57.14% | 14 | 5.8 | 745 | 11,160 | 83.3% | 37.5% | |
| 35.71% | 14 | 2.0 | 677 | 9,169 | 25.0% | 50.0% | |
| 76.92% | 13 | 5.6 | 880 | 12,766 | 80.0% | 75.0% | |
| 53.85% | 13 | 2.5 | 620 | 9,384 | 42.9% | 66.7% | |
| 30.77% | 13 | 6.9 | 693 | 11,052 | 16.7% | 42.9% | |
| 69.23% | 13 | 5.2 | 1,026 | 12,455 | 60.0% | 75.0% | |
| 58.33% | 12 | 7.1 | 954 | 13,365 | 57.1% | 60.0% | |
| 45.45% | 11 | 4.5 | 885 | 14,195 | 33.3% | 50.0% | |
| 45.45% | 11 | 5.7 | 971 | 10,442 | 33.3% | 60.0% | |
| 54.55% | 11 | 1.9 | 813 | 13,595 | 0.0% | 75.0% | |
| 36.36% | 11 | 2.3 | 670 | 10,901 | 0.0% | 66.7% | |
| 27.27% | 11 | 4.3 | 715 | 11,202 | 50.0% | 22.2% | |
| 36.36% | 11 | 6.1 | 938 | 12,976 | 33.3% | 37.5% | |
| 40.00% | 10 | 5.3 | 1,122 | 11,832 | 100.0% | 25.0% | |
| 60.00% | 10 | 5.7 | 997 | 11,268 | 40.0% | 80.0% | |
| 50.00% | 10 | 2.9 | 930 | 13,985 | 66.7% | 42.9% | |
| 40.00% | 10 | 4.3 | 786 | 11,315 | 25.0% | 50.0% | |
| 40.00% | 10 | 1.9 | 460 | 9,517 | 75.0% | 16.7% | |
| 50.00% | 10 | 4.6 | 989 | 11,007 | 66.7% | 25.0% | |
| 40.00% | 10 | 2.1 | 659 | 11,273 | 20.0% | 60.0% | |
| 40.00% | 10 | 2.8 | 849 | 11,949 | 40.0% | 40.0% | |
| 33.33% | 9 | 4.2 | 687 | 11,086 | 50.0% | 20.0% | |
| 33.33% | 9 | 1.8 | 767 | 10,018 | 50.0% | 20.0% | |
| 55.56% | 9 | 2.8 | 678 | 10,614 | 80.0% | 25.0% | |
| 55.56% | 9 | 4.4 | 673 | 9,755 | 75.0% | 40.0% | |
| 55.56% | 9 | 5.7 | 884 | 12,157 | 75.0% | 40.0% | |
| 55.56% | 9 | 3.3 | 672 | 12,416 | 50.0% | 57.1% | |
| 62.50% | 8 | 5.2 | 747 | 10,598 | 50.0% | 75.0% | |
| 50.00% | 8 | 5.3 | 792 | 11,613 | 100.0% | 33.3% | |
| 37.50% | 8 | 5.5 | 789 | 11,402 | 0.0% | 60.0% | |
| 50.00% | 8 | 5.4 | 642 | 6,785 | 50.0% | 50.0% | |
| 37.50% | 8 | 5.8 | 483 | 8,820 | 33.3% | 50.0% | |
| 50.00% | 8 | 3.4 | 725 | 10,559 | 75.0% | 25.0% | |
| 14.29% | 7 | 5.9 | 852 | 11,871 | 0.0% | 20.0% | |
| 42.86% | 7 | 6.5 | 813 | 10,607 | 60.0% | 0.0% | |
| 57.14% | 7 | 3.0 | 624 | 8,281 | 75.0% | 33.3% | |
| 28.57% | 7 | 5.0 | 757 | 12,452 | 50.0% | 20.0% | |
| 42.86% | 7 | 5.4 | 820 | 12,438 | 33.3% | 50.0% | |
| 42.86% | 7 | 4.5 | 615 | 9,748 | 50.0% | 40.0% | |
| 33.33% | 6 | 3.5 | 620 | 10,018 | 0.0% | 50.0% | |
| 33.33% | 6 | 1.9 | 856 | 8,812 | 66.7% | 0.0% | |
| 50.00% | 6 | 3.1 | 740 | 12,239 | 0.0% | 50.0% | |
| 50.00% | 6 | 0.8 | 555 | 10,924 | 66.7% | 33.3% | |
| 16.67% | 6 | 5.3 | 626 | 12,833 | 100.0% | 0.0% | |
| 66.67% | 6 | 4.7 | 1,041 | 16,087 | 0.0% | 80.0% | |
| 66.67% | 6 | 5.3 | 872 | 14,386 | 0.0% | 80.0% | |
| 83.33% | 6 | 2.2 | 509 | 10,933 | 50.0% | 100.0% | |
| 16.67% | 6 | 4.9 | 700 | 8,656 | 0.0% | 100.0% | |
| 66.67% | 6 | 3.0 | 839 | 11,438 | 100.0% | 0.0% | |
| 60.00% | 5 | 1.7 | 687 | 10,202 | 100.0% | 50.0% | |
| 60.00% | 5 | 5.2 | 490 | 7,696 | 66.7% | 50.0% | |
| 60.00% | 5 | 4.8 | 899 | 8,546 | 66.7% | 50.0% | |
| 40.00% | 5 | 2.5 | 1,250 | 15,333 | 0.0% | 66.7% | |
| 40.00% | 5 | 1.6 | 479 | 4,571 | 50.0% | 0.0% | |
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Matchupy Sett - Czesto zadawane pytania
Jakie sa najlepsze matchupy Sett w League of Legends?
Najlepsze matchupy Sett w patchu 26.10 to Garen, Mordekaiser, and Darius. Sett 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 Sett?
Najgorsze matchupy Sett to Ashe, Neeko, and Draven. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Sett i moga wykorzystac slabosci Sett na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Sett?
Mozesz sprawdzic dane matchupow Sett 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 Sett.
Kogo kontruje Sett w League of Legends?
Sett kontruje Garen, Mordekaiser, and Darius w patchu 26.10. To sa najbardziej korzystne matchupy Sett, gdzie Sett ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Sett w szczegolach.
Kto kontruje Sett na linii?
Ashe, Neeko, and Draven kontruja Sett na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Sett. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.