SennaMatchupy
Dane matchupów Senna dla League of Legends patch 26.3. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Senna. Dowiedz się kogo Senna pokonuje i komu przegrywa na linii.
Senna Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Senna 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 Senna dla patcha 26.3 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 |
|---|---|---|---|---|---|---|---|
| 46.92% | 260 | 1.3 | 505 | 9,803 | 45.0% | 48.6% | |
| 39.37% | 221 | 1.5 | 486 | 10,335 | 35.2% | 42.3% | |
| 56.57% | 198 | 1.4 | 551 | 9,944 | 59.1% | 53.4% | |
| 48.35% | 182 | 1.4 | 484 | 10,079 | 52.6% | 45.2% | |
| 47.43% | 175 | 1.4 | 518 | 9,455 | 46.9% | 48.0% | |
| 52.00% | 175 | 1.5 | 517 | 10,195 | 53.3% | 51.0% | |
| 45.73% | 164 | 1.4 | 524 | 9,927 | 47.7% | 43.6% | |
| 49.67% | 153 | 1.3 | 524 | 10,097 | 47.3% | 51.9% | |
| 48.91% | 137 | 1.3 | 502 | 10,044 | 47.5% | 50.0% | |
| 46.46% | 127 | 1.3 | 444 | 9,652 | 43.3% | 50.0% | |
| 53.23% | 124 | 1.9 | 518 | 10,220 | 45.8% | 60.0% | |
| 49.17% | 120 | 5.8 | 831 | 13,524 | 49.0% | 49.3% | |
| 50.43% | 115 | 1.6 | 592 | 9,730 | 45.6% | 55.2% | |
| 49.55% | 111 | 1.3 | 500 | 10,109 | 54.4% | 46.1% | |
| 52.78% | 108 | 1.3 | 559 | 9,853 | 46.3% | 59.3% | |
| 57.14% | 105 | 1.3 | 518 | 10,000 | 51.0% | 63.0% | |
| 45.71% | 105 | 1.4 | 476 | 10,447 | 48.8% | 43.5% | |
| 44.00% | 100 | 1.4 | 447 | 10,487 | 36.1% | 48.4% | |
| 53.54% | 99 | 1.3 | 503 | 10,003 | 50.0% | 57.1% | |
| 59.38% | 96 | 1.3 | 564 | 10,832 | 64.9% | 55.9% | |
| 62.11% | 95 | 1.2 | 484 | 9,195 | 64.1% | 58.1% | |
| 40.51% | 79 | 1.5 | 460 | 10,568 | 36.4% | 43.5% | |
| 61.04% | 77 | 1.5 | 644 | 10,235 | 61.1% | 61.0% | |
| 61.84% | 76 | 1.3 | 623 | 10,121 | 66.7% | 56.8% | |
| 58.11% | 74 | 4.5 | 642 | 11,343 | 70.3% | 46.0% | |
| 38.03% | 71 | 6.3 | 727 | 12,392 | 38.5% | 37.5% | |
| 55.22% | 67 | 5.5 | 743 | 12,203 | 61.5% | 46.4% | |
| 59.70% | 67 | 1.3 | 540 | 10,224 | 56.3% | 62.9% | |
| 49.21% | 63 | 6.1 | 887 | 13,992 | 48.3% | 50.0% | |
| 51.72% | 58 | 1.6 | 459 | 11,191 | 45.5% | 55.6% | |
| 45.61% | 57 | 1.4 | 527 | 10,082 | 57.7% | 35.5% | |
| 50.00% | 54 | 1.7 | 507 | 10,561 | 55.0% | 47.1% | |
| 51.85% | 54 | 6.3 | 882 | 13,648 | 60.0% | 41.7% | |
| 52.00% | 50 | 5.8 | 776 | 12,355 | 36.0% | 68.0% | |
| 48.98% | 49 | 6.3 | 851 | 14,778 | 47.1% | 50.0% | |
| 46.81% | 47 | 1.3 | 553 | 9,941 | 62.5% | 30.4% | |
| 48.89% | 45 | 1.4 | 515 | 10,134 | 50.0% | 47.8% | |
| 54.55% | 44 | 5.3 | 741 | 13,646 | 64.7% | 48.1% | |
| 61.36% | 44 | 1.6 | 556 | 9,735 | 50.0% | 70.8% | |
| 50.00% | 42 | 1.4 | 552 | 9,664 | 56.0% | 41.2% | |
| 60.53% | 38 | 6.2 | 735 | 12,744 | 68.2% | 50.0% | |
| 55.56% | 36 | 6.1 | 889 | 13,610 | 64.7% | 47.4% | |
| 55.56% | 36 | 1.2 | 653 | 9,747 | 43.8% | 65.0% | |
| 50.00% | 36 | 6.1 | 840 | 12,095 | 31.6% | 70.6% | |
| 50.00% | 36 | 1.3 | 447 | 9,445 | 42.9% | 60.0% | |
| 41.18% | 35 | 1.5 | 505 | 9,891 | 45.5% | 33.3% | |
| 55.88% | 34 | 1.3 | 511 | 9,990 | 52.9% | 58.8% | |
| 76.67% | 30 | 6.2 | 849 | 12,678 | 88.9% | 58.3% | |
| 55.17% | 29 | 6.0 | 818 | 13,083 | 66.7% | 36.4% | |
| 53.85% | 26 | 6.0 | 868 | 12,822 | 46.1% | 61.5% | |
| 52.17% | 23 | 2.8 | 601 | 10,938 | 50.0% | 54.5% | |
| 54.55% | 22 | 5.7 | 914 | 14,032 | 41.7% | 70.0% | |
| 47.62% | 21 | 6.7 | 889 | 13,789 | 25.0% | 61.5% | |
| 70.00% | 20 | 2.0 | 561 | 10,767 | 66.7% | 72.7% | |
| 26.32% | 19 | 1.9 | 488 | 10,609 | 71.4% | 0.0% | |
| 72.22% | 18 | 2.9 | 603 | 12,976 | 83.3% | 66.7% | |
| 76.47% | 17 | 5.8 | 843 | 13,896 | 66.7% | 81.8% | |
| 53.33% | 15 | 6.1 | 816 | 12,369 | 55.6% | 50.0% | |
| 42.86% | 14 | 1.9 | 445 | 9,304 | 37.5% | 50.0% | |
| 57.14% | 14 | 1.9 | 574 | 9,376 | 77.8% | 20.0% | |
| 21.43% | 14 | 1.2 | 424 | 8,862 | 22.2% | 20.0% | |
| 35.71% | 14 | 5.4 | 711 | 13,149 | 33.3% | 36.4% | |
| 57.14% | 14 | 1.3 | 528 | 10,387 | 50.0% | 62.5% | |
| 66.67% | 12 | 3.8 | 620 | 11,091 | 66.7% | 66.7% | |
| 16.67% | 12 | 1.1 | 443 | 10,339 | 40.0% | 0.0% | |
| 63.64% | 11 | 1.7 | 748 | 10,643 | 66.7% | 60.0% | |
| 54.55% | 11 | 5.9 | 688 | 13,312 | 20.0% | 83.3% | |
| 36.36% | 11 | 2.0 | 590 | 10,763 | 33.3% | 37.5% | |
| 60.00% | 10 | 2.7 | 709 | 11,122 | 33.3% | 71.4% | |
| 60.00% | 10 | 3.4 | 641 | 9,941 | 57.1% | 66.7% | |
| 33.33% | 9 | 1.4 | 474 | 8,236 | 33.3% | 33.3% | |
| 50.00% | 8 | 5.3 | 700 | 12,443 | 40.0% | 66.7% | |
| 62.50% | 8 | 1.6 | 564 | 9,512 | 80.0% | 33.3% | |
| 62.50% | 8 | 1.3 | 462 | 10,157 | 33.3% | 80.0% | |
| 62.50% | 8 | 3.0 | 490 | 13,300 | 50.0% | 66.7% | |
| 28.57% | 7 | 5.3 | 833 | 11,729 | 20.0% | 50.0% | |
| 42.86% | 7 | 1.7 | 471 | 8,741 | 50.0% | 33.3% | |
| 57.14% | 7 | 1.3 | 544 | 8,040 | 75.0% | 33.3% | |
| 71.43% | 7 | 2.3 | 572 | 11,887 | 66.7% | 75.0% | |
| 28.57% | 7 | 5.6 | 1,039 | 14,490 | 33.3% | 25.0% | |
| 33.33% | 6 | 1.1 | 651 | 13,418 | 0.0% | 33.3% | |
| 16.67% | 6 | 4.7 | 805 | 8,236 | 0.0% | 50.0% | |
| 66.67% | 6 | 4.9 | 636 | 12,422 | 66.7% | 66.7% | |
| 50.00% | 6 | 1.2 | 507 | 10,528 | 33.3% | 66.7% | |
| 20.00% | 5 | 2.9 | 781 | 12,362 | 0.0% | 33.3% | |
| 20.00% | 5 | 5.6 | 637 | 14,222 | 0.0% | 25.0% | |
| 60.00% | 5 | 1.2 | 340 | 7,920 | 50.0% | 66.7% | |
| 20.00% | 5 | 3.8 | 503 | 9,245 | 25.0% | 0.0% | |
| 80.00% | 5 | 1.2 | 570 | 12,992 | 100.0% | 75.0% | |
| 80.00% | 5 | 1.3 | 556 | 8,766 | 100.0% | 66.7% | |
| 80.00% | 5 | 3.6 | 749 | 13,110 | 66.7% | 100.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Senna - Czesto zadawane pytania
Jakie sa najlepsze matchupy Senna w League of Legends?
Najlepsze matchupy Senna w patchu 26.3 to Nami, Lux, and Thresh. 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 Amumu, Darius, and Yorick. 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 Nami, Lux, and Thresh w patchu 26.3. 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?
Amumu, Darius, and Yorick kontruja Senna na linii w patchu 26.3. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Senna. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.