SennaMatchupy
Dane matchupów Senna dla League of Legends patch 26.12. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Senna. Dowiedz się kogo Senna pokonuje i komu przegrywa na linii.
Analiza matchupu Senna
Użyj menu rozwijanego, aby wybrać przeciwnika i zobaczyć szczegółową analizę, jak Senna radzi sobie przeciwko niemu. Otrzymasz wskaźniki wygranych bezpośrednich, statystyki linii, najlepszy build i runy do matchupu oraz analizę wczesnej vs późnej gry — wszystko oparte na prawdziwych danych z rankingu.
Dane matchupow Senna dla patcha 26.12 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Senna, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Senna, 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 |
|---|---|---|---|---|---|---|---|
| 52.73% | 531 | 6.1 | 792 | 13,085 | 50.2% | 54.5% | |
| 55.40% | 426 | 5.9 | 796 | 13,080 | 56.5% | 54.5% | |
| 54.69% | 384 | 6.0 | 812 | 13,060 | 54.3% | 55.0% | |
| 54.59% | 381 | 6.2 | 780 | 12,823 | 60.0% | 49.8% | |
| 48.52% | 305 | 5.9 | 804 | 12,675 | 44.6% | 51.4% | |
| 48.24% | 284 | 3.0 | 625 | 11,052 | 48.8% | 47.8% | |
| 46.48% | 256 | 6.1 | 892 | 13,501 | 42.7% | 49.3% | |
| 58.54% | 246 | 6.2 | 851 | 13,230 | 55.0% | 61.3% | |
| 55.86% | 222 | 6.1 | 808 | 12,720 | 53.6% | 58.2% | |
| 63.80% | 221 | 6.2 | 852 | 13,163 | 63.1% | 64.4% | |
| 47.00% | 217 | 2.5 | 585 | 10,552 | 41.2% | 51.7% | |
| 43.01% | 186 | 4.7 | 749 | 12,285 | 39.0% | 46.1% | |
| 53.93% | 178 | 6.2 | 887 | 13,474 | 43.7% | 60.8% | |
| 49.41% | 170 | 5.7 | 747 | 13,046 | 50.8% | 48.5% | |
| 53.99% | 163 | 6.1 | 801 | 12,144 | 54.6% | 53.3% | |
| 48.13% | 160 | 1.6 | 593 | 10,388 | 43.8% | 51.7% | |
| 47.62% | 147 | 5.9 | 841 | 12,674 | 41.8% | 52.5% | |
| 54.17% | 120 | 1.6 | 652 | 10,154 | 65.4% | 45.6% | |
| 57.98% | 119 | 1.6 | 630 | 10,900 | 49.0% | 64.7% | |
| 55.08% | 118 | 1.6 | 630 | 10,551 | 53.1% | 56.5% | |
| 62.28% | 114 | 6.0 | 867 | 12,831 | 57.6% | 67.3% | |
| 56.48% | 108 | 1.6 | 664 | 10,963 | 52.4% | 59.1% | |
| 50.50% | 101 | 2.9 | 645 | 11,399 | 53.7% | 48.3% | |
| 48.51% | 101 | 3.8 | 792 | 11,274 | 36.0% | 60.8% | |
| 50.51% | 99 | 6.0 | 829 | 12,743 | 51.2% | 50.0% | |
| 60.00% | 90 | 6.2 | 885 | 13,270 | 61.9% | 58.3% | |
| 57.30% | 89 | 6.1 | 858 | 13,326 | 53.7% | 60.4% | |
| 49.43% | 87 | 6.2 | 825 | 12,031 | 54.4% | 43.9% | |
| 60.71% | 84 | 6.4 | 854 | 13,603 | 67.6% | 55.3% | |
| 51.81% | 83 | 1.6 | 659 | 10,835 | 54.5% | 50.0% | |
| 60.49% | 81 | 6.2 | 867 | 13,961 | 68.6% | 54.4% | |
| 54.79% | 73 | 1.7 | 598 | 10,073 | 64.9% | 44.4% | |
| 58.33% | 72 | 1.6 | 704 | 10,792 | 61.5% | 56.5% | |
| 52.78% | 72 | 2.2 | 812 | 10,276 | 54.5% | 51.3% | |
| 53.52% | 71 | 1.9 | 640 | 10,736 | 52.9% | 54.0% | |
| 54.55% | 66 | 1.6 | 544 | 9,483 | 50.0% | 60.0% | |
| 50.00% | 66 | 3.8 | 675 | 11,820 | 40.0% | 58.3% | |
| 54.69% | 64 | 3.4 | 610 | 11,458 | 59.1% | 52.4% | |
| 52.38% | 63 | 1.8 | 662 | 10,751 | 50.0% | 54.8% | |
| 53.23% | 62 | 5.9 | 813 | 12,895 | 48.0% | 56.8% | |
| 40.32% | 62 | 1.5 | 685 | 9,983 | 54.2% | 31.6% | |
| 55.36% | 56 | 2.7 | 591 | 11,596 | 56.5% | 54.5% | |
| 57.14% | 56 | 2.2 | 654 | 11,455 | 56.5% | 57.6% | |
| 61.11% | 54 | 5.2 | 764 | 13,102 | 68.2% | 56.3% | |
| 53.85% | 52 | 5.7 | 838 | 13,537 | 61.1% | 50.0% | |
| 37.25% | 51 | 1.6 | 581 | 8,922 | 34.5% | 40.9% | |
| 55.10% | 49 | 6.0 | 775 | 13,336 | 50.0% | 58.1% | |
| 61.22% | 49 | 1.7 | 624 | 10,106 | 71.4% | 53.6% | |
| 46.67% | 45 | 5.7 | 836 | 13,132 | 42.9% | 50.0% | |
| 65.12% | 43 | 1.8 | 646 | 11,341 | 64.7% | 65.4% | |
| 58.54% | 41 | 6.0 | 850 | 12,977 | 60.0% | 57.7% | |
| 48.78% | 41 | 1.8 | 643 | 10,605 | 41.2% | 54.2% | |
| 52.50% | 40 | 1.5 | 678 | 10,910 | 63.2% | 42.9% | |
| 66.67% | 39 | 5.8 | 939 | 14,133 | 80.0% | 62.1% | |
| 51.28% | 39 | 1.6 | 753 | 11,365 | 61.5% | 46.1% | |
| 52.78% | 36 | 5.9 | 840 | 11,956 | 56.3% | 50.0% | |
| 50.00% | 30 | 1.6 | 646 | 10,975 | 77.8% | 38.1% | |
| 41.38% | 29 | 2.2 | 636 | 10,276 | 35.3% | 50.0% | |
| 75.86% | 29 | 1.6 | 676 | 10,828 | 87.5% | 61.5% | |
| 40.74% | 27 | 4.2 | 707 | 13,062 | 50.0% | 35.3% | |
| 50.00% | 22 | 1.6 | 698 | 11,035 | 70.0% | 33.3% | |
| 36.36% | 22 | 5.9 | 879 | 13,061 | 55.6% | 23.1% | |
| 36.84% | 19 | 1.7 | 560 | 10,525 | 57.1% | 25.0% | |
| 63.16% | 19 | 1.9 | 726 | 11,388 | 50.0% | 72.7% | |
| 55.56% | 18 | 1.6 | 694 | 10,665 | 50.0% | 62.5% | |
| 66.67% | 18 | 6.2 | 864 | 12,764 | 50.0% | 80.0% | |
| 61.11% | 18 | 1.5 | 623 | 10,698 | 50.0% | 70.0% | |
| 64.71% | 17 | 1.7 | 663 | 11,248 | 57.1% | 70.0% | |
| 62.50% | 16 | 6.2 | 791 | 14,664 | 66.7% | 60.0% | |
| 66.67% | 15 | 2.2 | 736 | 12,180 | 100.0% | 50.0% | |
| 50.00% | 14 | 2.1 | 667 | 12,119 | 40.0% | 55.6% | |
| 57.14% | 14 | 2.3 | 722 | 12,250 | 66.7% | 54.5% | |
| 38.46% | 13 | 4.0 | 815 | 11,557 | 20.0% | 50.0% | |
| 33.33% | 12 | 6.6 | 1,156 | 12,869 | 20.0% | 42.9% | |
| 41.67% | 12 | 1.6 | 549 | 8,869 | 57.1% | 20.0% | |
| 63.64% | 11 | 3.8 | 770 | 10,308 | 57.1% | 75.0% | |
| 54.55% | 11 | 4.5 | 681 | 11,228 | 20.0% | 83.3% | |
| 70.00% | 10 | 2.5 | 765 | 12,934 | 66.7% | 71.4% | |
| 50.00% | 10 | 5.3 | 987 | 13,420 | 75.0% | 33.3% | |
| 66.67% | 9 | 4.0 | 655 | 12,225 | 40.0% | 100.0% | |
| 33.33% | 9 | 5.8 | 711 | 12,001 | 50.0% | 20.0% | |
| 44.44% | 9 | 1.6 | 587 | 12,214 | 66.7% | 33.3% | |
| 88.89% | 9 | 2.8 | 594 | 10,549 | 100.0% | 75.0% | |
| 25.00% | 8 | 6.4 | 816 | 14,979 | 0.0% | 33.3% | |
| 50.00% | 8 | 4.1 | 686 | 12,476 | 50.0% | 50.0% | |
| 57.14% | 7 | 5.1 | 952 | 12,816 | 33.3% | 75.0% | |
| 57.14% | 7 | 3.4 | 949 | 10,436 | 25.0% | 100.0% | |
| 71.43% | 7 | 6.1 | 782 | 11,919 | 50.0% | 100.0% | |
| 42.86% | 7 | 2.6 | 793 | 11,547 | 33.3% | 50.0% | |
| 57.14% | 7 | 5.8 | 795 | 11,898 | 66.7% | 50.0% | |
| 42.86% | 7 | 2.5 | 827 | 11,623 | 33.3% | 50.0% | |
| 66.67% | 6 | 5.1 | 551 | 11,877 | 50.0% | 75.0% | |
| 33.33% | 6 | 4.6 | 1,184 | 13,028 | 100.0% | 0.0% | |
| 33.33% | 6 | 5.2 | 759 | 11,006 | 20.0% | 100.0% | |
| 33.33% | 6 | 4.0 | 859 | 12,907 | 0.0% | 50.0% | |
| 50.00% | 6 | 2.8 | 583 | 9,405 | 66.7% | 33.3% | |
| 16.67% | 6 | 6.5 | 908 | 13,228 | 33.3% | 0.0% | |
| 83.33% | 6 | 3.8 | 1,166 | 13,219 | 100.0% | 66.7% | |
| 60.00% | 5 | 4.1 | 678 | 11,631 | 50.0% | 66.7% | |
| 20.00% | 5 | 4.4 | 816 | 13,672 | 0.0% | 25.0% | |
| 80.00% | 5 | 2.4 | 783 | 12,741 | 100.0% | 75.0% | |
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Matchupy Senna - Czesto zadawane pytania
Jakie sa najlepsze matchupy Senna w League of Legends?
Najlepsze matchupy Senna w patchu 26.12 to Caitlyn, Ashe, and Jhin. Senna 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 Senna?
Najgorsze matchupy Senna to Garen, Wukong, and Syndra. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Senna i moga wykorzystac slabosci Senna na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Senna?
Mozesz sprawdzic dane matchupow Senna 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 Senna.
Kogo kontruje Senna w League of Legends?
Senna kontruje Caitlyn, Ashe, and Jhin w patchu 26.12. To sa najbardziej korzystne matchupy Senna, gdzie Senna ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Senna w szczegolach.
Kto kontruje Senna na linii?
Garen, Wukong, and Syndra kontruja Senna na linii w patchu 26.12. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Senna. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.