EliseMatchupy
Dane matchupów Elise dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Elise. Dowiedz się kogo Elise pokonuje i komu przegrywa na linii.
Elise Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Elise 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 Elise dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Elise, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Elise, 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 |
|---|---|---|---|---|---|---|---|
| 49.37% | 79 | 0.9 | 715 | 12,380 | 53.1% | 46.8% | |
| 50.70% | 71 | 0.9 | 682 | 12,611 | 51.6% | 50.0% | |
| 53.73% | 67 | 0.9 | 694 | 13,103 | 48.0% | 57.1% | |
| 46.15% | 65 | 0.8 | 658 | 11,400 | 48.6% | 43.3% | |
| 44.64% | 56 | 1.0 | 723 | 11,718 | 36.0% | 51.6% | |
| 57.69% | 52 | 0.9 | 749 | 12,547 | 59.3% | 56.0% | |
| 40.00% | 50 | 0.8 | 716 | 12,448 | 50.0% | 32.1% | |
| 45.83% | 48 | 0.9 | 617 | 10,770 | 40.0% | 52.2% | |
| 51.06% | 47 | 1.0 | 683 | 13,049 | 50.0% | 51.9% | |
| 41.30% | 46 | 0.9 | 764 | 11,405 | 39.1% | 43.5% | |
| 50.00% | 36 | 0.9 | 743 | 12,956 | 57.1% | 45.5% | |
| 34.29% | 35 | 0.9 | 644 | 12,917 | 30.8% | 36.4% | |
| 45.45% | 33 | 1.0 | 865 | 11,975 | 41.2% | 50.0% | |
| 33.33% | 33 | 1.2 | 612 | 9,504 | 33.3% | 33.3% | |
| 56.25% | 32 | 1.3 | 663 | 10,057 | 60.0% | 52.9% | |
| 50.00% | 32 | 1.0 | 784 | 13,501 | 50.0% | 50.0% | |
| 48.39% | 31 | 1.2 | 604 | 10,289 | 63.6% | 40.0% | |
| 50.00% | 30 | 0.9 | 681 | 11,616 | 57.1% | 43.8% | |
| 48.28% | 29 | 1.4 | 710 | 12,956 | 46.7% | 50.0% | |
| 50.00% | 28 | 0.8 | 736 | 11,847 | 50.0% | 50.0% | |
| 37.04% | 27 | 1.2 | 661 | 12,004 | 38.5% | 35.7% | |
| 40.74% | 27 | 0.9 | 772 | 13,742 | 50.0% | 35.3% | |
| 46.15% | 26 | 0.9 | 684 | 12,667 | 50.0% | 42.9% | |
| 56.00% | 25 | 1.4 | 591 | 9,711 | 57.1% | 54.5% | |
| 56.52% | 23 | 1.6 | 598 | 10,680 | 33.3% | 71.4% | |
| 54.55% | 22 | 1.2 | 567 | 9,370 | 40.0% | 66.7% | |
| 50.00% | 22 | 1.2 | 560 | 9,771 | 33.3% | 61.5% | |
| 68.18% | 22 | 1.5 | 863 | 13,138 | 58.3% | 80.0% | |
| 61.90% | 21 | 1.6 | 769 | 12,403 | 75.0% | 53.9% | |
| 57.14% | 21 | 1.1 | 814 | 13,520 | 50.0% | 60.0% | |
| 33.33% | 21 | 0.9 | 729 | 11,316 | 33.3% | 33.3% | |
| 65.00% | 20 | 1.4 | 706 | 10,366 | 70.0% | 60.0% | |
| 33.33% | 18 | 0.9 | 756 | 12,133 | 50.0% | 20.0% | |
| 50.00% | 18 | 1.4 | 667 | 10,631 | 50.0% | 50.0% | |
| 66.67% | 18 | 1.2 | 758 | 10,521 | 100.0% | 45.5% | |
| 70.59% | 17 | 1.3 | 707 | 10,509 | 77.8% | 62.5% | |
| 52.94% | 17 | 1.0 | 776 | 13,546 | 50.0% | 55.6% | |
| 52.94% | 17 | 1.3 | 579 | 9,949 | 50.0% | 55.6% | |
| 47.06% | 17 | 0.9 | 767 | 13,261 | 57.1% | 40.0% | |
| 70.59% | 17 | 1.0 | 823 | 12,945 | 87.5% | 55.6% | |
| 81.25% | 16 | 1.3 | 798 | 13,121 | 87.5% | 75.0% | |
| 43.75% | 16 | 0.8 | 801 | 12,849 | 42.9% | 44.4% | |
| 31.25% | 16 | 0.8 | 688 | 10,328 | 11.1% | 57.1% | |
| 66.67% | 15 | 1.1 | 736 | 13,602 | 40.0% | 80.0% | |
| 73.33% | 15 | 1.1 | 629 | 9,539 | 85.7% | 62.5% | |
| 60.00% | 15 | 0.9 | 794 | 11,095 | 33.3% | 77.8% | |
| 40.00% | 15 | 1.2 | 712 | 11,006 | 50.0% | 28.6% | |
| 50.00% | 14 | 1.4 | 527 | 9,294 | 50.0% | 50.0% | |
| 35.71% | 14 | 1.0 | 697 | 13,684 | 20.0% | 44.4% | |
| 50.00% | 14 | 1.1 | 645 | 8,625 | 66.7% | 37.5% | |
| 64.29% | 14 | 1.0 | 717 | 11,090 | 75.0% | 50.0% | |
| 64.29% | 14 | 1.0 | 965 | 16,890 | 50.0% | 66.7% | |
| 61.54% | 13 | 1.1 | 873 | 12,201 | 66.7% | 57.1% | |
| 46.15% | 13 | 1.0 | 704 | 12,731 | 50.0% | 44.4% | |
| 46.15% | 13 | 1.4 | 524 | 9,606 | 37.5% | 60.0% | |
| 53.85% | 13 | 1.8 | 965 | 13,887 | 25.0% | 66.7% | |
| 50.00% | 12 | 1.4 | 646 | 10,574 | 60.0% | 42.9% | |
| 45.45% | 11 | 2.3 | 578 | 10,800 | 66.7% | 37.5% | |
| 63.64% | 11 | 1.8 | 1,026 | 13,109 | 75.0% | 57.1% | |
| 54.55% | 11 | 3.7 | 943 | 12,010 | 50.0% | 60.0% | |
| 60.00% | 10 | 1.3 | 703 | 7,486 | 57.1% | 66.7% | |
| 70.00% | 10 | 1.7 | 735 | 9,463 | 60.0% | 80.0% | |
| 30.00% | 10 | 0.8 | 675 | 11,686 | 42.9% | 0.0% | |
| 55.56% | 9 | 1.0 | 739 | 12,637 | 75.0% | 40.0% | |
| 50.00% | 8 | 1.6 | 667 | 11,983 | 25.0% | 75.0% | |
| 62.50% | 8 | 0.7 | 702 | 11,733 | 60.0% | 66.7% | |
| 87.50% | 8 | 1.9 | 1,154 | 9,684 | 80.0% | 100.0% | |
| 50.00% | 8 | 0.9 | 700 | 9,900 | 50.0% | 50.0% | |
| 28.57% | 7 | 2.4 | 745 | 14,717 | 100.0% | 16.7% | |
| 57.14% | 7 | 1.9 | 635 | 9,088 | 50.0% | 66.7% | |
| 42.86% | 7 | 1.3 | 632 | 8,858 | 20.0% | 100.0% | |
| 28.57% | 7 | 1.5 | 732 | 11,809 | 33.3% | 25.0% | |
| 57.14% | 7 | 0.8 | 711 | 10,724 | 75.0% | 33.3% | |
| 14.29% | 7 | 3.1 | 795 | 13,170 | 33.3% | 0.0% | |
| 42.86% | 7 | 1.1 | 818 | 12,470 | 75.0% | 0.0% | |
| 66.67% | 6 | 1.4 | 640 | 10,584 | 75.0% | 50.0% | |
| 66.67% | 6 | 2.2 | 681 | 10,893 | 50.0% | 75.0% | |
| 83.33% | 6 | 1.4 | 554 | 8,342 | 100.0% | 66.7% | |
| 66.67% | 6 | 0.7 | 697 | 10,697 | 66.7% | 66.7% | |
| 33.33% | 6 | 1.2 | 648 | 10,716 | 50.0% | 25.0% | |
| 50.00% | 6 | 1.3 | 448 | 8,146 | 60.0% | 0.0% | |
| 0.00% | 5 | 1.9 | 773 | 10,299 | 0.0% | 0.0% | |
| 100.00% | 5 | 1.3 | 887 | 15,325 | 100.0% | 100.0% | |
| 40.00% | 5 | 2.5 | 651 | 9,268 | 100.0% | 25.0% | |
| 60.00% | 5 | 1.5 | 574 | 8,838 | 66.7% | 50.0% | |
| 60.00% | 5 | 1.8 | 687 | 11,109 | 66.7% | 50.0% | |
| 80.00% | 5 | 2.0 | 731 | 13,139 | 100.0% | 75.0% | |
| 40.00% | 5 | 4.8 | 795 | 14,163 | 50.0% | 33.3% | |
| 40.00% | 5 | 4.7 | 855 | 9,443 | 0.0% | 66.7% | |
| 40.00% | 5 | 0.7 | 786 | 12,513 | 25.0% | 100.0% | |
| 80.00% | 5 | 1.3 | 800 | 11,939 | 100.0% | 75.0% | |
| 20.00% | 5 | 2.8 | 793 | 12,339 | 0.0% | 25.0% | |
| 80.00% | 5 | 1.5 | 829 | 10,967 | 100.0% | 75.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Elise - Czesto zadawane pytania
Jakie sa najlepsze matchupy Elise w League of Legends?
Najlepsze matchupy Elise w patchu 26.10 to Master Yi, Graves, and Kayn. Elise 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 Elise?
Najgorsze matchupy Elise to Sion, Cho'Gath, and Camille. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Elise i moga wykorzystac slabosci Elise na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Elise?
Mozesz sprawdzic dane matchupow Elise 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 Elise.
Kogo kontruje Elise w League of Legends?
Elise kontruje Master Yi, Graves, and Kayn w patchu 26.10. To sa najbardziej korzystne matchupy Elise, gdzie Elise ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Elise w szczegolach.
Kto kontruje Elise na linii?
Sion, Cho'Gath, and Camille kontruja Elise na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Elise. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.