LeBlancMatchupy
Dane matchupów LeBlanc dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu LeBlanc. Dowiedz się kogo LeBlanc pokonuje i komu przegrywa na linii.
LeBlanc Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how LeBlanc 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 LeBlanc dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych LeBlanc, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build LeBlanc, 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 |
|---|---|---|---|---|---|---|---|
| 46.02% | 176 | 5.8 | 815 | 11,217 | 49.4% | 43.0% | |
| 47.59% | 145 | 5.7 | 818 | 10,825 | 48.0% | 47.2% | |
| 57.60% | 125 | 5.7 | 855 | 12,066 | 50.0% | 62.7% | |
| 42.86% | 119 | 5.9 | 800 | 11,616 | 43.1% | 42.6% | |
| 45.69% | 116 | 5.9 | 813 | 11,088 | 54.5% | 37.7% | |
| 51.43% | 105 | 5.8 | 858 | 11,714 | 64.3% | 42.9% | |
| 47.57% | 103 | 5.4 | 882 | 12,623 | 48.4% | 47.2% | |
| 54.08% | 98 | 5.6 | 909 | 11,309 | 46.7% | 60.4% | |
| 47.96% | 98 | 5.2 | 778 | 11,420 | 44.2% | 50.9% | |
| 53.76% | 93 | 6.2 | 812 | 11,708 | 58.3% | 50.9% | |
| 50.54% | 93 | 5.9 | 866 | 10,785 | 49.0% | 52.3% | |
| 47.67% | 86 | 5.5 | 769 | 10,964 | 40.5% | 53.1% | |
| 60.00% | 85 | 5.6 | 943 | 12,877 | 75.0% | 55.4% | |
| 50.60% | 83 | 5.6 | 736 | 10,600 | 52.6% | 48.9% | |
| 45.45% | 77 | 5.7 | 736 | 11,069 | 36.4% | 52.3% | |
| 44.44% | 72 | 5.3 | 804 | 11,085 | 41.4% | 46.5% | |
| 47.89% | 71 | 5.9 | 910 | 11,026 | 42.4% | 52.6% | |
| 40.58% | 69 | 6.1 | 812 | 11,376 | 51.9% | 33.3% | |
| 37.50% | 64 | 5.5 | 956 | 11,685 | 33.3% | 40.5% | |
| 51.67% | 60 | 4.5 | 900 | 11,778 | 68.2% | 42.1% | |
| 34.48% | 58 | 5.6 | 781 | 11,252 | 37.5% | 32.4% | |
| 50.91% | 55 | 6.0 | 830 | 11,775 | 43.5% | 56.3% | |
| 53.70% | 54 | 6.2 | 909 | 11,168 | 50.0% | 56.7% | |
| 38.89% | 54 | 5.5 | 858 | 11,510 | 69.6% | 16.1% | |
| 39.62% | 53 | 5.4 | 878 | 12,296 | 25.0% | 48.5% | |
| 44.90% | 49 | 6.2 | 826 | 11,113 | 54.2% | 36.0% | |
| 50.00% | 48 | 5.8 | 862 | 11,999 | 61.1% | 43.3% | |
| 54.35% | 46 | 5.8 | 950 | 11,504 | 50.0% | 57.1% | |
| 45.45% | 44 | 5.7 | 865 | 11,382 | 40.0% | 50.0% | |
| 46.51% | 43 | 5.5 | 777 | 11,274 | 61.9% | 31.8% | |
| 59.52% | 42 | 6.1 | 923 | 11,988 | 52.9% | 64.0% | |
| 36.11% | 36 | 6.5 | 1,004 | 12,043 | 43.8% | 30.0% | |
| 54.29% | 35 | 5.9 | 902 | 10,909 | 47.1% | 61.1% | |
| 41.18% | 34 | 5.4 | 867 | 11,638 | 41.7% | 40.9% | |
| 54.55% | 33 | 5.2 | 800 | 10,377 | 50.0% | 60.0% | |
| 54.55% | 33 | 5.8 | 866 | 12,260 | 77.8% | 45.8% | |
| 44.83% | 29 | 6.0 | 829 | 10,932 | 53.3% | 35.7% | |
| 67.86% | 28 | 4.7 | 881 | 12,221 | 57.1% | 78.6% | |
| 60.71% | 28 | 4.7 | 841 | 11,146 | 50.0% | 66.7% | |
| 48.15% | 27 | 5.6 | 841 | 11,760 | 45.5% | 50.0% | |
| 57.69% | 26 | 4.2 | 746 | 10,128 | 53.3% | 63.6% | |
| 48.00% | 25 | 5.9 | 1,024 | 13,132 | 50.0% | 47.1% | |
| 66.67% | 24 | 6.4 | 930 | 11,626 | 81.8% | 53.9% | |
| 43.48% | 23 | 2.7 | 750 | 9,887 | 40.0% | 46.1% | |
| 60.87% | 23 | 1.4 | 736 | 10,947 | 75.0% | 45.5% | |
| 27.27% | 22 | 5.6 | 745 | 10,999 | 14.3% | 33.3% | |
| 23.81% | 21 | 4.6 | 770 | 11,981 | 28.6% | 21.4% | |
| 60.00% | 20 | 5.2 | 861 | 12,312 | 50.0% | 66.7% | |
| 38.89% | 18 | 2.0 | 689 | 10,578 | 42.9% | 36.4% | |
| 41.18% | 17 | 6.0 | 842 | 10,449 | 33.3% | 50.0% | |
| 52.94% | 17 | 6.1 | 799 | 10,756 | 50.0% | 57.1% | |
| 31.25% | 16 | 5.1 | 727 | 10,875 | 40.0% | 27.3% | |
| 40.00% | 15 | 1.4 | 686 | 11,187 | 20.0% | 50.0% | |
| 57.14% | 14 | 6.7 | 898 | 12,304 | 60.0% | 55.6% | |
| 57.14% | 14 | 5.5 | 1,134 | 11,158 | 40.0% | 66.7% | |
| 50.00% | 14 | 5.7 | 1,112 | 13,626 | 0.0% | 63.6% | |
| 46.15% | 13 | 3.5 | 848 | 12,024 | 60.0% | 37.5% | |
| 69.23% | 13 | 3.3 | 873 | 10,050 | 83.3% | 57.1% | |
| 53.85% | 13 | 2.1 | 722 | 11,370 | 60.0% | 50.0% | |
| 76.92% | 13 | 1.5 | 769 | 9,702 | 57.1% | 100.0% | |
| 61.54% | 13 | 6.4 | 865 | 12,546 | 71.4% | 50.0% | |
| 76.92% | 13 | 2.6 | 791 | 10,583 | 80.0% | 75.0% | |
| 53.85% | 13 | 6.2 | 989 | 12,849 | 25.0% | 66.7% | |
| 50.00% | 12 | 5.9 | 774 | 10,063 | 55.6% | 33.3% | |
| 27.27% | 11 | 2.3 | 823 | 11,508 | 0.0% | 37.5% | |
| 27.27% | 11 | 6.0 | 866 | 11,915 | 40.0% | 16.7% | |
| 36.36% | 11 | 3.0 | 862 | 10,701 | 50.0% | 28.6% | |
| 27.27% | 11 | 1.9 | 633 | 9,963 | 25.0% | 28.6% | |
| 54.55% | 11 | 6.0 | 876 | 10,166 | 66.7% | 40.0% | |
| 20.00% | 10 | 1.5 | 600 | 8,360 | 20.0% | 20.0% | |
| 50.00% | 10 | 1.9 | 608 | 9,510 | 42.9% | 66.7% | |
| 70.00% | 10 | 5.4 | 1,083 | 11,375 | 50.0% | 100.0% | |
| 40.00% | 10 | 5.7 | 1,014 | 13,880 | 66.7% | 28.6% | |
| 30.00% | 10 | 1.8 | 656 | 10,013 | 40.0% | 20.0% | |
| 88.89% | 9 | 1.6 | 600 | 10,758 | 100.0% | 75.0% | |
| 33.33% | 9 | 4.8 | 928 | 13,145 | 0.0% | 37.5% | |
| 55.56% | 9 | 1.7 | 840 | 10,778 | 75.0% | 40.0% | |
| 44.44% | 9 | 5.7 | 1,017 | 13,532 | 50.0% | 42.9% | |
| 37.50% | 8 | 2.1 | 705 | 9,944 | 50.0% | 25.0% | |
| 37.50% | 8 | 6.3 | 919 | 12,680 | 100.0% | 16.7% | |
| 37.50% | 8 | 1.4 | 868 | 14,024 | 0.0% | 37.5% | |
| 85.71% | 7 | 5.7 | 942 | 12,444 | 100.0% | 80.0% | |
| 57.14% | 7 | 5.3 | 1,018 | 12,332 | 66.7% | 50.0% | |
| 71.43% | 7 | 2.2 | 531 | 6,372 | 100.0% | 33.3% | |
| 33.33% | 6 | 6.2 | 887 | 7,051 | 40.0% | 0.0% | |
| 50.00% | 6 | 5.7 | 723 | 8,652 | 33.3% | 66.7% | |
| 83.33% | 6 | 1.5 | 695 | 11,783 | 100.0% | 75.0% | |
| 50.00% | 6 | 5.5 | 877 | 13,674 | 33.3% | 66.7% | |
| 66.67% | 6 | 5.8 | 890 | 12,568 | 66.7% | 66.7% | |
| 40.00% | 5 | 2.0 | 663 | 8,410 | 33.3% | 50.0% | |
| 80.00% | 5 | 4.9 | 920 | 10,901 | 75.0% | 100.0% | |
| 80.00% | 5 | 5.7 | 805 | 13,712 | 100.0% | 75.0% | |
| 20.00% | 5 | 3.6 | 850 | 12,628 | 100.0% | 0.0% | |
| 60.00% | 5 | 5.6 | 1,222 | 10,975 | 100.0% | 33.3% | |
| 40.00% | 5 | 6.1 | 892 | 13,152 | 100.0% | 25.0% | |
| 60.00% | 5 | 5.4 | 864 | 12,581 | 100.0% | 50.0% | |
| 60.00% | 5 | 6.1 | 904 | 10,024 | 66.7% | 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 LeBlanc - Czesto zadawane pytania
Jakie sa najlepsze matchupy LeBlanc w League of Legends?
Najlepsze matchupy LeBlanc w patchu 26.10 to Ahri, Yasuo, and Zed. LeBlanc 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 LeBlanc?
Najgorsze matchupy LeBlanc to Yuumi, Shen, and Morgana. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko LeBlanc i moga wykorzystac slabosci LeBlanc na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow LeBlanc?
Mozesz sprawdzic dane matchupow LeBlanc 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 LeBlanc.
Kogo kontruje LeBlanc w League of Legends?
LeBlanc kontruje Ahri, Yasuo, and Zed w patchu 26.10. To sa najbardziej korzystne matchupy LeBlanc, gdzie LeBlanc ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup LeBlanc w szczegolach.
Kto kontruje LeBlanc na linii?
Yuumi, Shen, and Morgana kontruja LeBlanc na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko LeBlanc. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.