Współczynnik wygranych
49.3%
Współczynnik wyboru
5.6%
SylasMatchupy
Patch26.17
Mecze693,760
LiniaWszystkie linie
TierWszystkie tiery
Ostatnia aktualizacja1 wrz 2026 UTC
MetodologiaMetodologia danych
AutorDakota Chinnick
Dane matchupów Sylas dla League of Legends patch 26.17. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Sylas. Dowiedz się kogo Sylas pokonuje i komu przegrywa na linii.
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Analiza matchupu Sylas
Użyj menu rozwijanego, aby wybrać przeciwnika i zobaczyć szczegółową analizę, jak Sylas 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.
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Dane matchupow Sylas dla patcha 26.17 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Sylas, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Sylas, 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 |
|---|---|---|---|---|---|---|---|
| 54.05% | 148 | 5.2 | 893 | 10 637 | 51.8% | 56.9% | |
| 50.00% | 144 | 5.2 | 910 | 11 522 | 55.4% | 45.6% | |
| 50.37% | 135 | 5.3 | 829 | 11 338 | 51.4% | 49.2% | |
| 54.20% | 131 | 4.7 | 821 | 11 299 | 54.3% | 54.1% | |
| 50.77% | 130 | 1.0 | 828 | 12 757 | 50.8% | 50.8% | |
| 48.82% | 127 | 3.2 | 898 | 12 329 | 49.0% | 48.7% | |
| 55.91% | 127 | 0.9 | 804 | 12 737 | 51.6% | 60.3% | |
| 45.95% | 111 | 1.0 | 698 | 12 735 | 40.4% | 50.0% | |
| 44.76% | 105 | 5.4 | 770 | 11 317 | 43.2% | 45.9% | |
| 44.23% | 104 | 5.0 | 882 | 11 849 | 43.6% | 44.6% | |
| 44.23% | 104 | 4.8 | 826 | 11 280 | 46.8% | 42.1% | |
| 60.00% | 100 | 3.2 | 787 | 12 074 | 67.4% | 54.4% | |
| 46.46% | 99 | 1.0 | 688 | 12 760 | 41.5% | 50.0% | |
| 56.57% | 99 | 5.0 | 905 | 11 724 | 58.0% | 55.1% | |
| 56.25% | 96 | 4.7 | 884 | 11 378 | 52.3% | 59.6% | |
| 54.17% | 96 | 5.1 | 898 | 11 396 | 51.3% | 56.1% | |
| 51.06% | 94 | 5.3 | 810 | 11 360 | 52.8% | 50.0% | |
| 55.06% | 89 | 1.0 | 686 | 12 076 | 62.2% | 50.0% | |
| 43.53% | 85 | 0.9 | 696 | 11 482 | 35.9% | 50.0% | |
| 50.60% | 83 | 1.0 | 711 | 12 464 | 50.0% | 51.2% | |
| 46.34% | 82 | 5.4 | 796 | 10 841 | 54.8% | 37.5% | |
| 46.15% | 78 | 5.4 | 867 | 10 609 | 39.5% | 54.3% | |
| 48.72% | 78 | 4.2 | 712 | 11 243 | 41.9% | 53.2% | |
| 48.68% | 76 | 1.1 | 707 | 12 641 | 50.0% | 47.7% | |
| 48.65% | 74 | 0.9 | 682 | 12 662 | 60.6% | 39.0% | |
| 52.17% | 69 | 3.9 | 846 | 11 812 | 57.1% | 48.8% | |
| 39.13% | 69 | 4.9 | 698 | 10 430 | 46.1% | 34.9% | |
| 52.24% | 67 | 0.7 | 717 | 11 137 | 57.5% | 44.4% | |
| 39.68% | 63 | 2.6 | 762 | 12 432 | 37.9% | 41.2% | |
| 36.07% | 61 | 1.0 | 707 | 12 595 | 40.9% | 33.3% | |
| 52.54% | 59 | 5.1 | 796 | 11 562 | 52.0% | 52.9% | |
| 50.85% | 59 | 1.0 | 663 | 12 735 | 55.6% | 46.9% | |
| 40.68% | 59 | 3.3 | 729 | 11 093 | 48.1% | 34.4% | |
| 43.86% | 57 | 0.9 | 729 | 12 060 | 46.4% | 41.4% | |
| 43.86% | 57 | 4.8 | 861 | 11 808 | 38.1% | 47.2% | |
| 61.40% | 57 | 0.8 | 719 | 12 191 | 53.6% | 69.0% | |
| 50.00% | 54 | 1.1 | 752 | 12 674 | 40.0% | 58.6% | |
| 54.72% | 53 | 4.8 | 726 | 10 072 | 53.3% | 56.5% | |
| 51.92% | 52 | 5.3 | 909 | 12 089 | 52.2% | 51.7% | |
| 47.06% | 51 | 5.1 | 767 | 10 564 | 45.0% | 48.4% | |
| 48.00% | 50 | 1.6 | 697 | 10 725 | 41.4% | 57.1% | |
| 52.08% | 48 | 1.3 | 826 | 11 815 | 48.1% | 57.1% | |
| 52.08% | 48 | 4.2 | 1055 | 12 587 | 65.0% | 42.9% | |
| 42.55% | 47 | 1.5 | 780 | 11 872 | 37.0% | 50.0% | |
| 47.83% | 46 | 2.5 | 654 | 10 302 | 45.8% | 50.0% | |
| 61.36% | 44 | 1.0 | 752 | 13 397 | 60.0% | 62.5% | |
| 52.38% | 42 | 5.0 | 865 | 11 582 | 52.2% | 52.6% | |
| 40.00% | 40 | 5.2 | 927 | 11 988 | 46.7% | 36.0% | |
| 40.00% | 40 | 3.0 | 705 | 11 243 | 38.5% | 40.7% | |
| 51.28% | 39 | 5.4 | 913 | 11 943 | 60.0% | 45.8% | |
| 34.21% | 38 | 5.4 | 819 | 10 476 | 41.2% | 28.6% | |
| 47.37% | 38 | 0.8 | 596 | 11 147 | 54.2% | 35.7% | |
| 56.76% | 37 | 5.5 | 1043 | 11 605 | 70.0% | 41.2% | |
| 56.76% | 37 | 1.1 | 680 | 12 414 | 40.0% | 68.2% | |
| 58.33% | 36 | 4.7 | 778 | 10 749 | 61.1% | 55.6% | |
| 50.00% | 34 | 0.9 | 766 | 13 431 | 57.1% | 45.0% | |
| 30.30% | 33 | 4.1 | 708 | 9446 | 31.6% | 28.6% | |
| 53.13% | 32 | 1.0 | 661 | 12 790 | 35.7% | 66.7% | |
| 37.50% | 32 | 1.0 | 723 | 12 313 | 41.2% | 33.3% | |
| 46.88% | 32 | 2.3 | 992 | 13 902 | 75.0% | 37.5% | |
| 45.16% | 31 | 1.3 | 723 | 11 784 | 64.3% | 29.4% | |
| 46.67% | 30 | 1.4 | 836 | 12 716 | 33.3% | 55.6% | |
| 40.00% | 30 | 5.2 | 881 | 10 598 | 37.5% | 42.9% | |
| 65.52% | 29 | 0.8 | 752 | 12 616 | 75.0% | 58.8% | |
| 55.17% | 29 | 2.3 | 639 | 9365 | 43.8% | 69.2% | |
| 50.00% | 28 | 4.8 | 859 | 12 942 | 57.1% | 47.6% | |
| 40.74% | 27 | 5.4 | 862 | 11 189 | 28.6% | 53.9% | |
| 34.62% | 26 | 1.0 | 882 | 12 305 | 33.3% | 36.4% | |
| 61.54% | 26 | 1.1 | 796 | 13 641 | 53.3% | 72.7% | |
| 53.85% | 26 | 2.2 | 794 | 11 736 | 50.0% | 57.1% | |
| 46.15% | 26 | 3.7 | 845 | 9837 | 46.1% | 46.1% | |
| 53.85% | 26 | 2.2 | 664 | 10 552 | 60.0% | 50.0% | |
| 54.17% | 24 | 1.6 | 652 | 9055 | 53.9% | 54.5% | |
| 62.50% | 24 | 4.5 | 863 | 13 043 | 85.7% | 52.9% | |
| 41.67% | 24 | 3.1 | 662 | 10 650 | 37.5% | 43.8% | |
| 60.87% | 23 | 1.8 | 929 | 13 521 | 71.4% | 56.3% | |
| 39.13% | 23 | 2.9 | 943 | 13 541 | 75.0% | 20.0% | |
| 52.17% | 23 | 3.9 | 857 | 11 385 | 55.6% | 50.0% | |
| 34.78% | 23 | 3.7 | 675 | 11 171 | 45.5% | 25.0% | |
| 40.91% | 22 | 5.1 | 836 | 11 182 | 50.0% | 33.3% | |
| 61.90% | 21 | 4.6 | 831 | 11 088 | 58.3% | 66.7% | |
| 28.57% | 21 | 0.8 | 653 | 12 415 | 14.3% | 35.7% | |
| 45.00% | 20 | 3.4 | 876 | 12 087 | 14.3% | 61.5% | |
| 60.00% | 20 | 4.6 | 895 | 10 417 | 44.4% | 72.7% | |
| 45.00% | 20 | 1.7 | 569 | 10 206 | 44.4% | 45.5% | |
| 50.00% | 20 | 5.2 | 737 | 11 193 | 62.5% | 41.7% | |
| 47.37% | 19 | 3.3 | 829 | 11 407 | 42.9% | 50.0% | |
| 52.63% | 19 | 0.8 | 796 | 14 525 | 50.0% | 53.3% | |
| 42.11% | 19 | 2.3 | 802 | 11 112 | 40.0% | 44.4% | |
| 47.06% | 17 | 1.5 | 682 | 11 115 | 14.3% | 70.0% | |
| 52.94% | 17 | 1.7 | 843 | 11 892 | 50.0% | 57.1% | |
| 52.94% | 17 | 1.6 | 674 | 10 688 | 63.6% | 33.3% | |
| 52.94% | 17 | 5.4 | 840 | 8657 | 58.3% | 40.0% | |
| 43.75% | 16 | 5.1 | 727 | 9959 | 54.5% | 20.0% | |
| 18.75% | 16 | 3.0 | 960 | 12 107 | 0.0% | 37.5% | |
| 56.25% | 16 | 1.8 | 723 | 11 980 | 42.9% | 66.7% | |
| 40.00% | 15 | 2.4 | 894 | 8977 | 45.5% | 25.0% | |
| 66.67% | 15 | 2.3 | 766 | 12 572 | 60.0% | 70.0% | |
| 53.33% | 15 | 2.2 | 698 | 9765 | 70.0% | 20.0% | |
| 64.29% | 14 | 5.2 | 990 | 11 509 | 71.4% | 57.1% | |
| 57.14% | 14 | 4.1 | 734 | 10 656 | 60.0% | 55.6% | |
| 64.29% | 14 | 1.6 | 712 | 10 177 | 50.0% | 75.0% | |
| 57.14% | 14 | 2.9 | 727 | 8955 | 37.5% | 83.3% | |
| 57.14% | 14 | 5.1 | 917 | 12 018 | 0.0% | 66.7% | |
| 38.46% | 13 | 5.4 | 749 | 9513 | 55.6% | 0.0% | |
| 46.15% | 13 | 0.8 | 668 | 11 421 | 28.6% | 66.7% | |
| 50.00% | 12 | 3.0 | 761 | 12 084 | 66.7% | 33.3% | |
| 66.67% | 12 | 1.8 | 701 | 10 589 | 50.0% | 83.3% | |
| 72.73% | 11 | 5.3 | 946 | 12 312 | 80.0% | 66.7% | |
| 27.27% | 11 | 5.6 | 842 | 12 641 | 50.0% | 22.2% | |
| 36.36% | 11 | 4.4 | 836 | 13 111 | 66.7% | 25.0% | |
| 81.82% | 11 | 1.2 | 774 | 11 471 | 80.0% | 83.3% | |
| 40.00% | 10 | 4.8 | 643 | 10 597 | 33.3% | 42.9% | |
| 30.00% | 10 | 1.6 | 602 | 8967 | 20.0% | 40.0% | |
| 50.00% | 10 | 5.2 | 976 | 11 745 | 80.0% | 20.0% | |
| 60.00% | 10 | 5.4 | 728 | 11 180 | 75.0% | 50.0% | |
| 40.00% | 10 | 3.5 | 769 | 12 656 | 50.0% | 33.3% | |
| 50.00% | 10 | 0.8 | 607 | 10 364 | 50.0% | 50.0% | |
| 50.00% | 10 | 1.5 | 640 | 10 850 | 50.0% | 50.0% | |
| 90.00% | 10 | 4.8 | 797 | 12 796 | 100.0% | 83.3% | |
| 55.56% | 9 | 6.1 | 949 | 10 964 | 80.0% | 25.0% | |
| 77.78% | 9 | 5.1 | 784 | 13 587 | 66.7% | 83.3% | |
| 44.44% | 9 | 1.1 | 708 | 12 014 | 80.0% | 0.0% | |
| 0.00% | 9 | 4.2 | 1034 | 11 394 | 0.0% | 0.0% | |
| 33.33% | 9 | 1.5 | 598 | 9843 | 40.0% | 25.0% | |
| 33.33% | 9 | 1.5 | 638 | 9407 | 60.0% | 0.0% | |
| 62.50% | 8 | 1.4 | 691 | 10 323 | 80.0% | 33.3% | |
| 62.50% | 8 | 5.2 | 755 | 9409 | 75.0% | 50.0% | |
| 37.50% | 8 | 2.9 | 607 | 10 830 | 20.0% | 66.7% | |
| 37.50% | 8 | 0.8 | 709 | 11 488 | 25.0% | 50.0% | |
| 28.57% | 7 | 4.7 | 823 | 12 585 | 50.0% | 20.0% | |
| 57.14% | 7 | 4.7 | 666 | 8895 | 50.0% | 66.7% | |
| 42.86% | 7 | 1.4 | 677 | 9677 | 33.3% | 50.0% | |
| 28.57% | 7 | 3.9 | 609 | 9628 | 20.0% | 50.0% | |
| 57.14% | 7 | 2.0 | 650 | 9203 | 60.0% | 50.0% | |
| 14.29% | 7 | 1.2 | 721 | 10 392 | 0.0% | 20.0% | |
| 71.43% | 7 | 4.5 | 871 | 9694 | 66.7% | 75.0% | |
| 33.33% | 6 | 1.8 | 546 | 10 728 | 0.0% | 40.0% | |
| 50.00% | 6 | 3.4 | 1017 | 13 304 | 50.0% | 50.0% | |
| 33.33% | 6 | 4.2 | 732 | 10 183 | 33.3% | 33.3% | |
| 50.00% | 6 | 3.7 | 618 | 10 795 | 50.0% | 50.0% | |
| 40.00% | 5 | 2.5 | 742 | 11 781 | 50.0% | 33.3% | |
| 60.00% | 5 | 5.1 | 809 | 11 022 | 66.7% | 50.0% | |
| 60.00% | 5 | 4.0 | 822 | 6794 | 60.0% | 0.0% | |
| 60.00% | 5 | 2.4 | 688 | 9196 | 100.0% | 33.3% | |
| 20.00% | 5 | 1.7 | 558 | 10 464 | 50.0% | 0.0% | |
| 20.00% | 5 | 5.6 | 960 | 8364 | 20.0% | 0.0% | |
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Matchupy Sylas - Czesto zadawane pytania
Jakie sa najlepsze matchupy Sylas w League of Legends?
Najlepsze matchupy Sylas w patchu 26.17 to Yone, Ahri, and Yasuo. Sylas 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 Sylas?
Najgorsze matchupy Sylas to Sion, Nami, and Dr Mundo. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Sylas i moga wykorzystac slabosci Sylas na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Sylas?
Mozesz sprawdzic dane matchupow Sylas 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 Sylas.
Kogo kontruje Sylas w League of Legends?
Sylas kontruje Yone, Ahri, and Yasuo w patchu 26.17. To sa najbardziej korzystne matchupy Sylas, gdzie Sylas ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Sylas w szczegolach.
Kto kontruje Sylas na linii?
Sion, Nami, and Dr Mundo kontruja Sylas na linii w patchu 26.17. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Sylas. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.
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