LuxMatchupy
Dane matchupów Lux dla League of Legends patch 26.7. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Lux. Dowiedz się kogo Lux pokonuje i komu przegrywa na linii.
Lux Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Lux 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 Lux dla patcha 26.7 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Lux, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Lux, 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 |
|---|---|---|---|---|---|---|---|
| 44.00% | 300 | 2.0 | 709 | 9,995 | 48.9% | 40.1% | |
| 45.82% | 299 | 2.2 | 715 | 10,274 | 55.0% | 40.4% | |
| 54.11% | 292 | 2.5 | 762 | 10,893 | 52.3% | 55.3% | |
| 48.75% | 279 | 1.9 | 707 | 9,833 | 51.5% | 46.3% | |
| 47.30% | 241 | 2.0 | 705 | 10,170 | 49.1% | 45.9% | |
| 46.90% | 226 | 4.1 | 740 | 10,736 | 52.4% | 43.7% | |
| 48.89% | 225 | 2.1 | 736 | 10,077 | 53.7% | 45.4% | |
| 51.47% | 204 | 4.2 | 752 | 10,939 | 48.1% | 53.6% | |
| 45.64% | 195 | 6.2 | 905 | 11,892 | 38.4% | 50.0% | |
| 47.92% | 192 | 2.9 | 769 | 10,459 | 51.3% | 45.7% | |
| 48.92% | 186 | 2.0 | 778 | 10,061 | 56.1% | 43.3% | |
| 46.15% | 169 | 2.1 | 784 | 10,653 | 51.4% | 42.1% | |
| 44.91% | 167 | 2.0 | 669 | 10,225 | 47.1% | 43.3% | |
| 58.54% | 164 | 2.7 | 864 | 10,695 | 58.1% | 58.8% | |
| 44.44% | 162 | 6.5 | 831 | 12,267 | 38.3% | 48.0% | |
| 41.94% | 155 | 2.1 | 702 | 9,828 | 48.5% | 37.1% | |
| 49.02% | 153 | 2.0 | 732 | 9,411 | 41.8% | 54.6% | |
| 42.76% | 152 | 2.0 | 701 | 9,669 | 50.8% | 36.5% | |
| 51.77% | 141 | 5.4 | 874 | 11,560 | 54.7% | 50.0% | |
| 48.82% | 127 | 2.9 | 729 | 10,700 | 50.0% | 48.0% | |
| 42.86% | 126 | 2.2 | 702 | 10,798 | 35.1% | 46.1% | |
| 44.54% | 119 | 6.2 | 778 | 11,063 | 41.1% | 47.6% | |
| 53.39% | 118 | 2.0 | 569 | 9,827 | 65.5% | 42.9% | |
| 47.37% | 114 | 1.9 | 644 | 8,918 | 50.8% | 43.4% | |
| 47.62% | 105 | 6.4 | 904 | 11,956 | 48.9% | 46.7% | |
| 56.31% | 103 | 6.5 | 957 | 11,219 | 53.3% | 60.5% | |
| 45.63% | 103 | 2.1 | 640 | 9,463 | 46.3% | 44.9% | |
| 44.55% | 101 | 2.7 | 768 | 10,511 | 41.3% | 47.3% | |
| 47.00% | 100 | 2.2 | 815 | 10,546 | 57.6% | 41.8% | |
| 53.19% | 94 | 6.1 | 892 | 11,441 | 56.8% | 50.0% | |
| 43.33% | 90 | 5.5 | 835 | 12,031 | 45.2% | 42.4% | |
| 51.69% | 89 | 5.8 | 772 | 11,525 | 50.0% | 52.9% | |
| 54.12% | 85 | 6.3 | 931 | 12,426 | 52.9% | 54.9% | |
| 61.25% | 80 | 6.0 | 791 | 11,937 | 69.0% | 56.9% | |
| 54.43% | 79 | 2.0 | 743 | 9,850 | 62.2% | 47.6% | |
| 48.61% | 72 | 2.7 | 752 | 10,019 | 48.6% | 48.6% | |
| 43.06% | 72 | 1.9 | 727 | 10,600 | 41.7% | 43.8% | |
| 48.57% | 70 | 2.1 | 717 | 10,514 | 53.9% | 45.5% | |
| 61.76% | 68 | 5.8 | 839 | 11,593 | 77.8% | 51.2% | |
| 46.27% | 67 | 5.3 | 915 | 10,906 | 43.3% | 48.6% | |
| 55.22% | 67 | 6.0 | 874 | 11,272 | 55.2% | 55.3% | |
| 66.67% | 66 | 4.7 | 727 | 10,422 | 80.0% | 55.6% | |
| 60.00% | 65 | 5.4 | 812 | 10,524 | 66.7% | 55.3% | |
| 59.38% | 64 | 4.4 | 789 | 11,549 | 55.2% | 62.9% | |
| 54.55% | 55 | 6.0 | 943 | 11,354 | 70.8% | 41.9% | |
| 60.00% | 55 | 6.5 | 939 | 11,868 | 66.7% | 54.8% | |
| 48.15% | 54 | 2.2 | 683 | 10,359 | 37.0% | 59.3% | |
| 48.08% | 52 | 6.0 | 781 | 11,280 | 47.6% | 48.4% | |
| 55.77% | 52 | 6.4 | 852 | 12,468 | 50.0% | 57.9% | |
| 50.00% | 52 | 4.5 | 899 | 10,558 | 50.0% | 50.0% | |
| 41.18% | 51 | 6.0 | 913 | 13,339 | 50.0% | 34.5% | |
| 50.98% | 51 | 6.3 | 840 | 11,738 | 59.1% | 44.8% | |
| 50.00% | 50 | 5.6 | 871 | 11,080 | 51.9% | 47.8% | |
| 54.00% | 50 | 2.1 | 782 | 10,391 | 63.6% | 46.4% | |
| 57.14% | 49 | 2.1 | 676 | 9,893 | 60.0% | 54.2% | |
| 47.92% | 48 | 6.1 | 904 | 12,117 | 52.9% | 45.2% | |
| 57.45% | 47 | 4.8 | 812 | 11,532 | 81.3% | 45.2% | |
| 40.43% | 47 | 6.3 | 919 | 12,308 | 35.0% | 44.4% | |
| 39.13% | 46 | 2.2 | 696 | 9,870 | 31.3% | 43.3% | |
| 55.56% | 45 | 3.0 | 745 | 11,449 | 64.7% | 50.0% | |
| 57.78% | 45 | 6.3 | 842 | 11,284 | 57.9% | 57.7% | |
| 51.11% | 45 | 2.2 | 779 | 10,197 | 61.1% | 44.4% | |
| 50.00% | 42 | 6.6 | 948 | 12,829 | 58.8% | 44.0% | |
| 42.86% | 42 | 6.4 | 798 | 11,976 | 58.3% | 22.2% | |
| 61.54% | 39 | 5.8 | 921 | 13,255 | 55.6% | 66.7% | |
| 51.28% | 39 | 5.8 | 896 | 11,797 | 56.3% | 47.8% | |
| 41.03% | 39 | 6.8 | 900 | 12,505 | 36.4% | 47.1% | |
| 51.35% | 37 | 6.0 | 899 | 12,253 | 56.3% | 47.6% | |
| 54.05% | 37 | 3.6 | 823 | 11,911 | 71.4% | 43.5% | |
| 44.44% | 36 | 2.6 | 752 | 10,530 | 46.1% | 43.5% | |
| 40.00% | 35 | 6.6 | 899 | 11,583 | 28.6% | 57.1% | |
| 57.14% | 35 | 6.5 | 864 | 12,027 | 80.0% | 48.0% | |
| 45.71% | 35 | 5.5 | 851 | 12,287 | 35.7% | 52.4% | |
| 64.71% | 34 | 2.1 | 766 | 9,487 | 63.6% | 66.7% | |
| 55.88% | 34 | 6.6 | 924 | 12,249 | 66.7% | 50.0% | |
| 41.94% | 31 | 2.3 | 718 | 10,852 | 25.0% | 52.6% | |
| 51.61% | 31 | 6.3 | 911 | 12,299 | 30.0% | 61.9% | |
| 46.67% | 30 | 2.2 | 700 | 9,838 | 50.0% | 44.4% | |
| 50.00% | 30 | 6.5 | 967 | 13,818 | 45.5% | 52.6% | |
| 57.14% | 28 | 6.3 | 825 | 11,720 | 61.5% | 53.3% | |
| 50.00% | 26 | 5.1 | 682 | 11,507 | 60.0% | 43.8% | |
| 46.15% | 26 | 6.1 | 892 | 11,578 | 66.7% | 35.3% | |
| 39.13% | 23 | 2.0 | 828 | 11,350 | 37.5% | 40.0% | |
| 50.00% | 22 | 4.4 | 822 | 12,601 | 50.0% | 50.0% | |
| 73.68% | 19 | 6.8 | 946 | 14,167 | 85.7% | 66.7% | |
| 38.89% | 18 | 4.5 | 929 | 9,703 | 33.3% | 44.4% | |
| 27.78% | 18 | 5.7 | 789 | 11,429 | 12.5% | 40.0% | |
| 58.82% | 17 | 6.0 | 948 | 14,221 | 40.0% | 66.7% | |
| 47.06% | 17 | 7.2 | 742 | 12,176 | 42.9% | 50.0% | |
| 41.18% | 17 | 4.0 | 796 | 9,939 | 42.9% | 40.0% | |
| 68.75% | 16 | 6.6 | 773 | 11,156 | 50.0% | 87.5% | |
| 68.75% | 16 | 5.7 | 936 | 13,627 | 50.0% | 71.4% | |
| 60.00% | 15 | 7.0 | 699 | 12,773 | 83.3% | 44.4% | |
| 66.67% | 15 | 6.9 | 865 | 12,630 | 57.1% | 75.0% | |
| 57.14% | 14 | 6.0 | 829 | 11,236 | 57.1% | 57.1% | |
| 61.54% | 13 | 6.7 | 876 | 13,627 | 60.0% | 62.5% | |
| 58.33% | 12 | 6.7 | 934 | 13,406 | 37.5% | 100.0% | |
| 58.33% | 12 | 2.0 | 746 | 12,105 | 50.0% | 62.5% | |
| 27.27% | 11 | 6.8 | 729 | 12,406 | 25.0% | 28.6% | |
| 72.73% | 11 | 7.0 | 974 | 14,725 | 100.0% | 66.7% | |
| 36.36% | 11 | 2.0 | 673 | 10,656 | 40.0% | 33.3% | |
| 63.64% | 11 | 7.2 | 880 | 12,320 | 100.0% | 33.3% | |
| 63.64% | 11 | 5.8 | 1,010 | 12,764 | 75.0% | 57.1% | |
| 81.82% | 11 | 3.0 | 769 | 11,528 | 80.0% | 83.3% | |
| 50.00% | 10 | 4.7 | 922 | 13,901 | 60.0% | 40.0% | |
| 60.00% | 10 | 2.5 | 802 | 10,246 | 50.0% | 66.7% | |
| 20.00% | 10 | 3.7 | 779 | 10,544 | 20.0% | 20.0% | |
| 30.00% | 10 | 7.1 | 785 | 11,790 | 20.0% | 40.0% | |
| 80.00% | 10 | 5.2 | 1,045 | 13,306 | 100.0% | 77.8% | |
| 30.00% | 10 | 3.5 | 761 | 10,367 | 50.0% | 16.7% | |
| 44.44% | 9 | 4.4 | 874 | 12,477 | 40.0% | 50.0% | |
| 44.44% | 9 | 3.4 | 700 | 10,872 | 66.7% | 33.3% | |
| 66.67% | 9 | 2.3 | 698 | 12,222 | 66.7% | 66.7% | |
| 44.44% | 9 | 7.1 | 819 | 13,555 | 60.0% | 25.0% | |
| 50.00% | 8 | 2.9 | 792 | 10,540 | 40.0% | 66.7% | |
| 28.57% | 7 | 6.4 | 783 | 11,813 | 66.7% | 0.0% | |
| 57.14% | 7 | 5.3 | 836 | 11,438 | 100.0% | 0.0% | |
| 28.57% | 7 | 3.5 | 641 | 9,244 | 33.3% | 25.0% | |
| 57.14% | 7 | 1.6 | 628 | 6,485 | 80.0% | 0.0% | |
| 42.86% | 7 | 6.0 | 791 | 12,196 | 50.0% | 40.0% | |
| 42.86% | 7 | 2.3 | 804 | 13,319 | 0.0% | 42.9% | |
| 57.14% | 7 | 6.0 | 748 | 11,025 | 60.0% | 50.0% | |
| 42.86% | 7 | 4.0 | 576 | 8,698 | 50.0% | 33.3% | |
| 83.33% | 6 | 3.2 | 853 | 9,083 | 100.0% | 0.0% | |
| 33.33% | 6 | 3.5 | 716 | 11,517 | 50.0% | 25.0% | |
| 66.67% | 6 | 2.1 | 581 | 10,704 | 100.0% | 50.0% | |
| 80.00% | 5 | 6.7 | 894 | 15,109 | 100.0% | 66.7% | |
| 50.00% | 5 | 5.8 | 1,008 | 12,717 | 100.0% | 0.0% | |
| 60.00% | 5 | 6.8 | 775 | 10,412 | 75.0% | 0.0% | |
| 60.00% | 5 | 3.5 | 836 | 11,270 | 33.3% | 100.0% | |
| 40.00% | 5 | 6.1 | 905 | 12,679 | 50.0% | 33.3% | |
| 80.00% | 5 | 6.6 | 767 | 10,999 | 66.7% | 100.0% | |
| 60.00% | 5 | 6.1 | 1,041 | 15,097 | 50.0% | 66.7% | |
| 40.00% | 5 | 3.4 | 853 | 10,423 | 33.3% | 50.0% | |
| 40.00% | 5 | 2.0 | 697 | 11,612 | 100.0% | 25.0% | |
| 40.00% | 5 | 4.9 | 796 | 10,624 | 50.0% | 33.3% | |
| 20.00% | 5 | 7.3 | 782 | 13,271 | 0.0% | 25.0% | |
| 60.00% | 5 | 6.4 | 848 | 11,505 | 100.0% | 50.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Lux - Czesto zadawane pytania
Jakie sa najlepsze matchupy Lux w League of Legends?
Najlepsze matchupy Lux w patchu 26.7 to Nami, Seraphine, and Morgana. Lux 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 Lux?
Najgorsze matchupy Lux to Kled, Gwen, and Xayah. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Lux i moga wykorzystac slabosci Lux na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Lux?
Mozesz sprawdzic dane matchupow Lux 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 Lux.
Kogo kontruje Lux w League of Legends?
Lux kontruje Nami, Seraphine, and Morgana w patchu 26.7. To sa najbardziej korzystne matchupy Lux, gdzie Lux ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Lux w szczegolach.
Kto kontruje Lux na linii?
Kled, Gwen, and Xayah kontruja Lux na linii w patchu 26.7. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Lux. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.