
ShacoMatchupy
Dane matchupów Shaco dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Shaco. Dowiedz się kogo Shaco pokonuje i komu przegrywa na linii.
Shaco Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Shaco 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 Shaco dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Shaco, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Shaco, 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 |
|---|---|---|---|---|---|---|---|
| 49.85% | 339 | 0.8 | 707 | 12,607 | 48.5% | 50.7% | |
| 48.82% | 297 | 0.8 | 772 | 12,772 | 38.0% | 55.4% | |
| 46.89% | 273 | 0.9 | 716 | 12,960 | 49.4% | 45.6% | |
| 49.80% | 255 | 0.9 | 707 | 12,670 | 50.5% | 49.4% | |
| 51.60% | 250 | 0.8 | 698 | 12,895 | 51.1% | 51.9% | |
| 43.29% | 231 | 0.8 | 688 | 12,556 | 38.4% | 45.6% | |
| 41.98% | 212 | 0.8 | 738 | 12,389 | 45.5% | 40.0% | |
| 46.23% | 212 | 0.9 | 696 | 12,377 | 50.7% | 43.9% | |
| 54.85% | 206 | 0.8 | 691 | 12,534 | 56.7% | 53.5% | |
| 44.31% | 167 | 0.8 | 722 | 13,045 | 47.4% | 42.7% | |
| 47.65% | 149 | 0.9 | 812 | 13,096 | 46.1% | 48.5% | |
| 47.62% | 126 | 0.9 | 740 | 12,363 | 48.9% | 46.8% | |
| 44.00% | 125 | 0.8 | 720 | 12,544 | 50.0% | 40.7% | |
| 39.82% | 113 | 1.4 | 677 | 9,970 | 34.0% | 43.9% | |
| 39.09% | 110 | 0.8 | 726 | 12,677 | 40.0% | 38.5% | |
| 44.04% | 109 | 1.2 | 708 | 12,095 | 37.2% | 48.5% | |
| 54.21% | 107 | 0.9 | 747 | 12,036 | 57.5% | 51.7% | |
| 45.36% | 97 | 0.9 | 680 | 12,404 | 46.1% | 44.8% | |
| 43.30% | 97 | 0.7 | 761 | 13,085 | 36.4% | 46.9% | |
| 55.79% | 95 | 0.8 | 683 | 11,653 | 58.7% | 53.1% | |
| 56.52% | 92 | 1.0 | 688 | 12,755 | 62.5% | 53.3% | |
| 51.09% | 92 | 0.9 | 659 | 11,982 | 52.4% | 50.0% | |
| 48.89% | 90 | 0.8 | 681 | 12,077 | 50.0% | 48.1% | |
| 53.41% | 88 | 0.8 | 679 | 12,782 | 54.3% | 52.8% | |
| 50.57% | 87 | 0.8 | 676 | 11,958 | 64.1% | 39.6% | |
| 55.81% | 86 | 0.8 | 693 | 12,474 | 66.7% | 49.1% | |
| 62.35% | 85 | 1.1 | 827 | 13,335 | 60.0% | 63.6% | |
| 63.86% | 83 | 1.0 | 752 | 12,432 | 57.1% | 67.3% | |
| 50.00% | 80 | 0.8 | 680 | 12,904 | 58.3% | 46.4% | |
| 53.85% | 78 | 1.4 | 784 | 10,177 | 57.7% | 51.9% | |
| 53.25% | 77 | 1.4 | 690 | 9,591 | 48.4% | 56.5% | |
| 62.16% | 74 | 1.4 | 711 | 10,424 | 70.4% | 57.5% | |
| 45.07% | 71 | 1.0 | 695 | 12,272 | 38.7% | 50.0% | |
| 52.86% | 70 | 1.0 | 734 | 12,776 | 54.5% | 52.1% | |
| 53.62% | 69 | 1.4 | 698 | 10,032 | 50.0% | 55.8% | |
| 41.18% | 68 | 1.5 | 746 | 10,159 | 37.0% | 43.9% | |
| 46.27% | 67 | 1.6 | 718 | 12,140 | 60.0% | 40.4% | |
| 61.19% | 67 | 0.8 | 772 | 12,758 | 60.0% | 61.9% | |
| 62.69% | 67 | 0.9 | 673 | 13,170 | 71.4% | 58.7% | |
| 62.69% | 67 | 0.8 | 733 | 13,167 | 47.8% | 70.5% | |
| 60.32% | 63 | 1.2 | 784 | 11,705 | 61.9% | 59.5% | |
| 45.16% | 62 | 1.4 | 803 | 11,787 | 57.1% | 39.0% | |
| 55.00% | 60 | 1.2 | 709 | 11,859 | 36.8% | 63.4% | |
| 50.00% | 58 | 1.5 | 751 | 11,076 | 57.1% | 46.0% | |
| 50.00% | 58 | 0.9 | 656 | 12,715 | 50.0% | 50.0% | |
| 45.45% | 55 | 1.5 | 649 | 8,888 | 46.7% | 44.0% | |
| 49.06% | 53 | 1.5 | 786 | 9,278 | 50.0% | 48.3% | |
| 40.38% | 52 | 1.1 | 733 | 12,796 | 46.1% | 38.5% | |
| 50.00% | 50 | 0.9 | 774 | 13,217 | 60.0% | 43.3% | |
| 40.43% | 47 | 1.4 | 816 | 11,934 | 29.4% | 46.7% | |
| 56.52% | 46 | 0.9 | 746 | 13,737 | 40.0% | 61.1% | |
| 58.70% | 46 | 1.6 | 726 | 10,449 | 52.9% | 62.1% | |
| 44.44% | 45 | 0.8 | 800 | 12,396 | 37.5% | 48.3% | |
| 47.73% | 44 | 0.9 | 798 | 12,823 | 26.7% | 58.6% | |
| 50.00% | 44 | 1.5 | 731 | 11,210 | 45.5% | 51.5% | |
| 47.73% | 44 | 0.9 | 700 | 12,816 | 25.0% | 56.3% | |
| 53.66% | 41 | 1.8 | 831 | 10,451 | 55.6% | 52.2% | |
| 48.78% | 41 | 1.3 | 666 | 8,968 | 56.3% | 44.0% | |
| 51.22% | 41 | 1.5 | 662 | 10,100 | 61.5% | 46.4% | |
| 33.33% | 39 | 1.2 | 700 | 12,777 | 31.3% | 34.8% | |
| 51.35% | 37 | 1.3 | 638 | 9,280 | 56.3% | 47.6% | |
| 50.00% | 36 | 0.9 | 797 | 12,344 | 53.9% | 47.8% | |
| 45.71% | 35 | 0.8 | 679 | 12,146 | 33.3% | 55.0% | |
| 51.43% | 35 | 1.2 | 699 | 12,942 | 42.9% | 57.1% | |
| 60.00% | 35 | 1.4 | 690 | 11,705 | 69.2% | 54.5% | |
| 41.18% | 34 | 1.4 | 832 | 10,625 | 38.5% | 42.9% | |
| 56.25% | 32 | 1.6 | 733 | 10,298 | 60.0% | 52.9% | |
| 50.00% | 32 | 2.1 | 717 | 11,051 | 40.0% | 54.5% | |
| 37.50% | 32 | 2.1 | 757 | 11,763 | 38.5% | 36.8% | |
| 54.84% | 31 | 1.5 | 722 | 9,650 | 50.0% | 57.9% | |
| 46.67% | 30 | 1.2 | 787 | 12,151 | 75.0% | 36.4% | |
| 46.67% | 30 | 1.6 | 785 | 13,681 | 33.3% | 50.0% | |
| 55.17% | 29 | 1.4 | 706 | 9,345 | 64.3% | 46.7% | |
| 46.43% | 28 | 1.5 | 566 | 9,711 | 53.9% | 40.0% | |
| 57.14% | 28 | 1.3 | 663 | 10,952 | 46.1% | 66.7% | |
| 50.00% | 28 | 1.1 | 683 | 11,765 | 60.0% | 44.4% | |
| 55.56% | 27 | 0.9 | 824 | 13,889 | 50.0% | 57.1% | |
| 51.85% | 27 | 1.5 | 836 | 10,564 | 66.7% | 44.4% | |
| 59.26% | 27 | 0.9 | 804 | 11,852 | 69.2% | 50.0% | |
| 44.44% | 27 | 2.0 | 814 | 12,405 | 60.0% | 35.3% | |
| 57.69% | 26 | 1.5 | 727 | 10,355 | 37.5% | 66.7% | |
| 38.46% | 26 | 1.9 | 847 | 12,744 | 40.0% | 37.5% | |
| 56.00% | 25 | 1.4 | 746 | 9,538 | 63.6% | 50.0% | |
| 56.00% | 25 | 1.2 | 811 | 11,999 | 71.4% | 50.0% | |
| 37.50% | 24 | 1.2 | 673 | 8,742 | 50.0% | 28.6% | |
| 54.17% | 24 | 1.3 | 820 | 12,484 | 75.0% | 43.8% | |
| 38.10% | 21 | 2.0 | 612 | 9,991 | 40.0% | 36.4% | |
| 47.62% | 21 | 1.6 | 685 | 8,998 | 36.4% | 60.0% | |
| 45.00% | 20 | 1.0 | 744 | 13,402 | 50.0% | 42.9% | |
| 50.00% | 18 | 2.6 | 877 | 11,544 | 37.5% | 60.0% | |
| 44.44% | 18 | 0.8 | 727 | 14,210 | 71.4% | 27.3% | |
| 52.94% | 17 | 1.3 | 649 | 9,844 | 60.0% | 50.0% | |
| 53.33% | 15 | 3.3 | 973 | 12,415 | 60.0% | 50.0% | |
| 66.67% | 15 | 4.5 | 820 | 11,475 | 60.0% | 70.0% | |
| 80.00% | 15 | 1.3 | 932 | 12,410 | 66.7% | 83.3% | |
| 50.00% | 14 | 1.3 | 702 | 8,996 | 50.0% | 50.0% | |
| 69.23% | 13 | 0.8 | 682 | 13,416 | 80.0% | 62.5% | |
| 53.85% | 13 | 1.9 | 721 | 10,571 | 33.3% | 71.4% | |
| 50.00% | 12 | 1.9 | 693 | 10,939 | 71.4% | 20.0% | |
| 50.00% | 12 | 2.7 | 651 | 11,024 | 80.0% | 28.6% | |
| 54.55% | 11 | 2.1 | 714 | 11,031 | 50.0% | 55.6% | |
| 45.45% | 11 | 1.6 | 746 | 11,897 | 50.0% | 44.4% | |
| 60.00% | 10 | 1.5 | 723 | 9,302 | 50.0% | 66.7% | |
| 40.00% | 10 | 1.8 | 446 | 11,296 | 50.0% | 37.5% | |
| 33.33% | 9 | 3.2 | 661 | 10,392 | 50.0% | 28.6% | |
| 11.11% | 9 | 2.3 | 504 | 8,462 | 0.0% | 33.3% | |
| 50.00% | 8 | 2.4 | 712 | 8,949 | 25.0% | 75.0% | |
| 37.50% | 8 | 2.3 | 691 | 10,656 | 50.0% | 25.0% | |
| 42.86% | 7 | 2.6 | 607 | 11,057 | 50.0% | 33.3% | |
| 85.71% | 7 | 0.7 | 572 | 12,602 | 66.7% | 100.0% | |
| 85.71% | 7 | 1.4 | 613 | 8,961 | 100.0% | 83.3% | |
| 28.57% | 7 | 3.3 | 643 | 13,398 | 0.0% | 28.6% | |
| 57.14% | 7 | 2.1 | 736 | 11,364 | 100.0% | 40.0% | |
| 50.00% | 6 | 3.0 | 831 | 8,409 | 33.3% | 66.7% | |
| 50.00% | 6 | 4.6 | 872 | 9,624 | 50.0% | 50.0% | |
| 83.33% | 6 | 3.3 | 707 | 12,345 | 100.0% | 80.0% | |
| 66.67% | 6 | 0.8 | 682 | 13,126 | 0.0% | 80.0% | |
| 33.33% | 6 | 1.9 | 639 | 13,050 | 0.0% | 50.0% | |
| 33.33% | 6 | 2.7 | 715 | 12,208 | 0.0% | 40.0% | |
| 50.00% | 6 | 1.6 | 596 | 9,375 | 66.7% | 33.3% | |
| 50.00% | 6 | 4.9 | 770 | 10,674 | 100.0% | 40.0% | |
| 80.00% | 5 | 2.2 | 543 | 7,261 | 100.0% | 0.0% | |
| 60.00% | 5 | 2.9 | 780 | 12,390 | 66.7% | 50.0% | |
| 20.00% | 5 | 2.5 | 640 | 9,218 | 33.3% | 0.0% | |
| 20.00% | 5 | 2.5 | 689 | 11,241 | 100.0% | 0.0% | |
| 20.00% | 5 | 4.6 | 936 | 9,669 | 0.0% | 50.0% | |
| 80.00% | 5 | 3.4 | 672 | 10,001 | 0.0% | 100.0% | |
| 60.00% | 5 | 5.7 | 1,023 | 11,096 | 50.0% | 66.7% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Shaco - Czesto zadawane pytania
Jakie sa najlepsze matchupy Shaco w League of Legends?
Najlepsze matchupy Shaco w patchu 26.10 to Master Yi, Nocturne, and Kayn. Shaco 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 Shaco?
Najgorsze matchupy Shaco to Heimerdinger, Annie, and LeBlanc. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Shaco i moga wykorzystac slabosci Shaco na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Shaco?
Mozesz sprawdzic dane matchupow Shaco 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 Shaco.
Kogo kontruje Shaco w League of Legends?
Shaco kontruje Master Yi, Nocturne, and Kayn w patchu 26.10. To sa najbardziej korzystne matchupy Shaco, gdzie Shaco ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Shaco w szczegolach.
Kto kontruje Shaco na linii?
Heimerdinger, Annie, and LeBlanc kontruja Shaco na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Shaco. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.