QuinnMatchupy
Dane matchupów Quinn dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Quinn. Dowiedz się kogo Quinn pokonuje i komu przegrywa na linii.
Quinn Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Quinn 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 Quinn dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Quinn, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Quinn, 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 |
|---|---|---|---|---|---|---|---|
| 41.60% | 125 | 4.8 | 717 | 11,206 | 38.3% | 44.6% | |
| 49.60% | 125 | 1.4 | 790 | 13,098 | 47.3% | 51.4% | |
| 38.21% | 123 | 1.3 | 734 | 12,825 | 35.2% | 40.6% | |
| 40.34% | 119 | 1.1 | 825 | 13,343 | 38.8% | 41.4% | |
| 46.32% | 95 | 5.8 | 1,007 | 12,573 | 48.7% | 44.6% | |
| 37.23% | 94 | 1.1 | 742 | 12,744 | 43.9% | 32.1% | |
| 43.48% | 92 | 1.2 | 713 | 13,283 | 36.1% | 48.2% | |
| 44.57% | 92 | 1.3 | 841 | 13,533 | 40.5% | 47.3% | |
| 48.89% | 90 | 1.0 | 803 | 13,667 | 40.0% | 54.5% | |
| 48.86% | 88 | 1.1 | 800 | 13,187 | 47.6% | 50.0% | |
| 46.91% | 81 | 5.5 | 870 | 12,404 | 42.3% | 49.1% | |
| 50.67% | 75 | 1.8 | 771 | 13,152 | 35.7% | 59.6% | |
| 49.33% | 75 | 3.8 | 837 | 12,396 | 41.4% | 54.4% | |
| 40.58% | 69 | 1.1 | 736 | 12,924 | 28.6% | 48.8% | |
| 36.76% | 68 | 4.8 | 598 | 10,632 | 33.3% | 40.0% | |
| 47.76% | 67 | 4.8 | 789 | 11,857 | 58.6% | 39.5% | |
| 37.50% | 64 | 2.1 | 864 | 13,137 | 21.4% | 50.0% | |
| 57.81% | 64 | 5.0 | 1,019 | 12,899 | 53.6% | 61.1% | |
| 38.10% | 63 | 3.0 | 834 | 13,007 | 50.0% | 29.7% | |
| 50.00% | 52 | 1.6 | 810 | 14,007 | 55.0% | 46.9% | |
| 46.15% | 52 | 3.0 | 785 | 11,508 | 45.2% | 47.6% | |
| 43.14% | 51 | 1.0 | 791 | 13,236 | 45.5% | 41.4% | |
| 51.02% | 49 | 5.3 | 950 | 13,234 | 64.7% | 43.8% | |
| 44.90% | 49 | 1.6 | 871 | 14,107 | 50.0% | 40.7% | |
| 38.30% | 47 | 2.2 | 828 | 12,229 | 27.3% | 48.0% | |
| 36.96% | 46 | 1.1 | 719 | 13,104 | 46.7% | 32.3% | |
| 32.61% | 46 | 4.2 | 1,036 | 12,500 | 29.4% | 34.5% | |
| 53.33% | 45 | 1.9 | 884 | 13,731 | 47.6% | 58.3% | |
| 44.44% | 45 | 5.2 | 988 | 11,164 | 30.4% | 59.1% | |
| 40.91% | 44 | 5.2 | 700 | 10,260 | 40.7% | 41.2% | |
| 43.18% | 44 | 1.5 | 688 | 11,193 | 46.1% | 38.9% | |
| 45.45% | 44 | 5.9 | 905 | 12,488 | 43.8% | 46.4% | |
| 55.81% | 43 | 5.5 | 902 | 13,013 | 62.5% | 51.9% | |
| 39.53% | 43 | 2.3 | 791 | 13,232 | 30.8% | 43.3% | |
| 48.84% | 43 | 1.1 | 808 | 14,079 | 53.9% | 46.7% | |
| 40.48% | 42 | 5.6 | 1,020 | 13,266 | 28.6% | 46.4% | |
| 57.14% | 42 | 5.7 | 871 | 12,449 | 53.3% | 59.3% | |
| 54.76% | 42 | 5.3 | 901 | 11,782 | 50.0% | 59.1% | |
| 56.10% | 41 | 5.6 | 963 | 12,822 | 61.5% | 53.6% | |
| 39.02% | 41 | 1.2 | 767 | 14,065 | 50.0% | 33.3% | |
| 65.85% | 41 | 3.0 | 833 | 12,956 | 73.3% | 61.5% | |
| 58.54% | 41 | 3.3 | 891 | 14,875 | 33.3% | 73.1% | |
| 35.00% | 40 | 1.4 | 719 | 12,174 | 25.0% | 45.0% | |
| 58.97% | 39 | 3.5 | 833 | 13,430 | 64.3% | 56.0% | |
| 43.59% | 39 | 5.6 | 941 | 13,399 | 35.3% | 50.0% | |
| 43.24% | 37 | 5.7 | 792 | 12,812 | 60.0% | 31.8% | |
| 32.43% | 37 | 5.2 | 840 | 12,214 | 26.7% | 36.4% | |
| 59.46% | 37 | 5.8 | 819 | 11,716 | 57.1% | 60.9% | |
| 63.89% | 36 | 6.3 | 918 | 11,867 | 52.6% | 76.5% | |
| 63.89% | 36 | 5.6 | 999 | 14,508 | 63.6% | 64.0% | |
| 50.00% | 36 | 4.0 | 965 | 13,061 | 50.0% | 50.0% | |
| 41.67% | 36 | 6.0 | 981 | 13,459 | 35.7% | 45.5% | |
| 42.86% | 35 | 1.1 | 893 | 13,510 | 46.1% | 40.9% | |
| 35.29% | 34 | 1.1 | 777 | 12,568 | 18.2% | 43.5% | |
| 55.88% | 34 | 6.0 | 920 | 12,116 | 50.0% | 64.3% | |
| 62.50% | 32 | 5.5 | 752 | 11,022 | 66.7% | 58.8% | |
| 46.88% | 32 | 6.0 | 1,048 | 12,820 | 23.1% | 63.2% | |
| 43.75% | 32 | 0.8 | 811 | 11,554 | 35.7% | 50.0% | |
| 45.16% | 31 | 1.3 | 642 | 13,773 | 62.5% | 39.1% | |
| 56.67% | 30 | 4.7 | 977 | 12,444 | 38.5% | 70.6% | |
| 55.17% | 29 | 4.1 | 793 | 11,119 | 64.3% | 46.7% | |
| 57.14% | 28 | 5.6 | 909 | 13,055 | 41.7% | 68.8% | |
| 46.43% | 28 | 5.1 | 815 | 10,823 | 21.4% | 71.4% | |
| 42.86% | 28 | 0.9 | 713 | 11,343 | 50.0% | 35.7% | |
| 40.74% | 27 | 4.9 | 1,056 | 12,073 | 25.0% | 53.3% | |
| 59.26% | 27 | 5.6 | 1,039 | 12,246 | 72.7% | 50.0% | |
| 46.15% | 26 | 6.0 | 834 | 13,511 | 37.5% | 50.0% | |
| 30.77% | 26 | 4.3 | 793 | 11,395 | 18.2% | 40.0% | |
| 65.38% | 26 | 4.5 | 832 | 11,135 | 66.7% | 64.3% | |
| 45.83% | 24 | 5.6 | 722 | 12,725 | 42.9% | 47.1% | |
| 31.82% | 22 | 1.1 | 721 | 12,634 | 23.1% | 44.4% | |
| 52.38% | 21 | 2.2 | 975 | 13,512 | 62.5% | 46.1% | |
| 40.00% | 20 | 5.8 | 1,031 | 13,808 | 33.3% | 42.9% | |
| 50.00% | 20 | 4.4 | 904 | 11,765 | 50.0% | 50.0% | |
| 30.00% | 20 | 0.9 | 765 | 12,023 | 30.8% | 28.6% | |
| 60.00% | 20 | 4.3 | 946 | 12,771 | 62.5% | 58.3% | |
| 70.00% | 20 | 5.5 | 802 | 10,092 | 72.7% | 66.7% | |
| 50.00% | 20 | 4.4 | 938 | 13,794 | 50.0% | 50.0% | |
| 52.63% | 19 | 5.8 | 973 | 13,315 | 14.3% | 75.0% | |
| 42.11% | 19 | 5.7 | 925 | 11,687 | 42.9% | 41.7% | |
| 50.00% | 18 | 4.3 | 902 | 14,644 | 66.7% | 46.7% | |
| 33.33% | 18 | 1.0 | 660 | 10,894 | 30.0% | 37.5% | |
| 38.89% | 18 | 5.3 | 710 | 12,137 | 33.3% | 44.4% | |
| 27.78% | 18 | 4.5 | 863 | 12,852 | 33.3% | 22.2% | |
| 44.44% | 18 | 0.8 | 603 | 11,716 | 50.0% | 40.0% | |
| 52.94% | 17 | 1.6 | 862 | 13,818 | 40.0% | 71.4% | |
| 41.18% | 17 | 1.1 | 830 | 14,033 | 28.6% | 50.0% | |
| 29.41% | 17 | 1.7 | 844 | 13,678 | 50.0% | 18.2% | |
| 37.50% | 16 | 4.7 | 813 | 12,067 | 0.0% | 60.0% | |
| 68.75% | 16 | 5.9 | 874 | 11,644 | 80.0% | 50.0% | |
| 37.50% | 16 | 5.2 | 719 | 13,774 | 40.0% | 36.4% | |
| 50.00% | 16 | 6.0 | 931 | 13,342 | 60.0% | 45.5% | |
| 86.67% | 15 | 5.3 | 954 | 14,797 | 75.0% | 90.9% | |
| 28.57% | 14 | 5.7 | 863 | 12,612 | 28.6% | 28.6% | |
| 57.14% | 14 | 1.1 | 763 | 13,623 | 60.0% | 55.6% | |
| 53.85% | 13 | 4.2 | 737 | 11,569 | 62.5% | 40.0% | |
| 61.54% | 13 | 1.4 | 680 | 14,269 | 50.0% | 63.6% | |
| 23.08% | 13 | 6.6 | 889 | 11,692 | 33.3% | 14.3% | |
| 69.23% | 13 | 2.6 | 679 | 10,274 | 71.4% | 66.7% | |
| 41.67% | 12 | 6.7 | 939 | 12,191 | 42.9% | 40.0% | |
| 25.00% | 12 | 5.8 | 580 | 10,133 | 25.0% | 25.0% | |
| 33.33% | 12 | 2.4 | 909 | 12,922 | 40.0% | 28.6% | |
| 45.45% | 11 | 2.3 | 801 | 11,628 | 66.7% | 37.5% | |
| 63.64% | 11 | 5.9 | 981 | 14,180 | 50.0% | 71.4% | |
| 60.00% | 10 | 4.3 | 715 | 10,273 | 40.0% | 80.0% | |
| 20.00% | 10 | 3.3 | 618 | 9,786 | 16.7% | 25.0% | |
| 30.00% | 10 | 4.5 | 915 | 12,380 | 40.0% | 20.0% | |
| 60.00% | 10 | 5.8 | 807 | 13,177 | 50.0% | 62.5% | |
| 60.00% | 10 | 5.0 | 852 | 15,388 | 0.0% | 75.0% | |
| 30.00% | 10 | 2.8 | 871 | 11,710 | 25.0% | 33.3% | |
| 40.00% | 10 | 5.0 | 779 | 11,628 | 40.0% | 40.0% | |
| 44.44% | 9 | 3.0 | 624 | 10,608 | 60.0% | 25.0% | |
| 55.56% | 9 | 4.9 | 612 | 9,139 | 66.7% | 33.3% | |
| 44.44% | 9 | 4.6 | 952 | 12,053 | 60.0% | 25.0% | |
| 55.56% | 9 | 4.6 | 838 | 11,974 | 33.3% | 100.0% | |
| 50.00% | 8 | 5.3 | 792 | 11,170 | 40.0% | 66.7% | |
| 71.43% | 7 | 1.4 | 934 | 14,657 | 66.7% | 75.0% | |
| 57.14% | 7 | 5.3 | 822 | 12,726 | 66.7% | 50.0% | |
| 28.57% | 7 | 3.0 | 780 | 13,258 | 25.0% | 33.3% | |
| 42.86% | 7 | 5.5 | 826 | 12,618 | 33.3% | 50.0% | |
| 42.86% | 7 | 6.1 | 738 | 12,064 | 50.0% | 40.0% | |
| 14.29% | 7 | 5.5 | 742 | 10,641 | 25.0% | 0.0% | |
| 57.14% | 7 | 6.0 | 823 | 11,784 | 66.7% | 50.0% | |
| 57.14% | 7 | 1.6 | 766 | 14,010 | 100.0% | 40.0% | |
| 66.67% | 6 | 6.3 | 569 | 6,521 | 75.0% | 50.0% | |
| 66.67% | 6 | 5.7 | 660 | 13,487 | 50.0% | 75.0% | |
| 33.33% | 6 | 1.4 | 716 | 12,423 | 50.0% | 25.0% | |
| 16.67% | 6 | 3.6 | 594 | 10,595 | 0.0% | 33.3% | |
| 66.67% | 6 | 6.3 | 1,029 | 11,746 | 33.3% | 100.0% | |
| 80.00% | 5 | 5.9 | 890 | 12,649 | 66.7% | 100.0% | |
| 20.00% | 5 | 5.3 | 779 | 9,853 | 25.0% | 0.0% | |
| 80.00% | 5 | 6.1 | 803 | 13,142 | 100.0% | 50.0% | |
| 60.00% | 5 | 1.6 | 594 | 8,090 | 33.3% | 100.0% | |
| 60.00% | 5 | 5.5 | 929 | 12,135 | 50.0% | 66.7% | |
| 80.00% | 5 | 4.3 | 1,148 | 14,967 | 100.0% | 66.7% | |
| 20.00% | 5 | 3.5 | 784 | 12,574 | 33.3% | 0.0% | |
| 40.00% | 5 | 5.3 | 802 | 14,927 | 100.0% | 25.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Quinn - Czesto zadawane pytania
Jakie sa najlepsze matchupy Quinn w League of Legends?
Najlepsze matchupy Quinn w patchu 26.10 to Teemo, Master Yi, and Kayn. Quinn 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 Quinn?
Najgorsze matchupy Quinn to Kled, Karma, and Senna. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Quinn i moga wykorzystac slabosci Quinn na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Quinn?
Mozesz sprawdzic dane matchupow Quinn 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 Quinn.
Kogo kontruje Quinn w League of Legends?
Quinn kontruje Teemo, Master Yi, and Kayn w patchu 26.10. To sa najbardziej korzystne matchupy Quinn, gdzie Quinn ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Quinn w szczegolach.
Kto kontruje Quinn na linii?
Kled, Karma, and Senna kontruja Quinn na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Quinn. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.