GragasMatchupy
Dane matchupów Gragas dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Gragas. Dowiedz się kogo Gragas pokonuje i komu przegrywa na linii.
Gragas Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Gragas 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 Gragas dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Gragas, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Gragas, 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 |
|---|---|---|---|---|---|---|---|
| 46.59% | 88 | 5.8 | 707 | 11,717 | 50.0% | 44.2% | |
| 44.58% | 83 | 6.0 | 745 | 10,675 | 33.3% | 52.0% | |
| 62.50% | 64 | 6.0 | 771 | 12,220 | 62.5% | 62.5% | |
| 52.46% | 61 | 5.5 | 714 | 10,113 | 50.0% | 54.5% | |
| 39.66% | 58 | 6.5 | 891 | 11,617 | 50.0% | 33.3% | |
| 52.73% | 55 | 5.7 | 760 | 10,611 | 57.1% | 50.0% | |
| 40.38% | 52 | 5.4 | 789 | 10,886 | 45.0% | 37.5% | |
| 46.94% | 49 | 5.7 | 810 | 9,701 | 50.0% | 44.4% | |
| 42.55% | 47 | 5.5 | 1,046 | 11,684 | 44.4% | 41.4% | |
| 41.30% | 46 | 6.0 | 873 | 10,816 | 27.3% | 54.2% | |
| 36.36% | 44 | 6.2 | 809 | 10,998 | 46.7% | 31.0% | |
| 56.10% | 41 | 6.3 | 838 | 10,469 | 60.9% | 50.0% | |
| 41.03% | 39 | 5.8 | 889 | 10,775 | 46.7% | 37.5% | |
| 52.63% | 38 | 4.0 | 746 | 11,262 | 50.0% | 55.0% | |
| 52.78% | 36 | 6.0 | 798 | 11,194 | 50.0% | 55.0% | |
| 47.06% | 34 | 5.8 | 726 | 10,152 | 50.0% | 43.8% | |
| 41.18% | 34 | 6.5 | 792 | 10,604 | 40.9% | 41.7% | |
| 30.30% | 33 | 5.9 | 607 | 8,908 | 20.0% | 46.1% | |
| 57.58% | 33 | 6.3 | 752 | 11,498 | 85.7% | 36.8% | |
| 46.88% | 32 | 5.8 | 923 | 9,589 | 47.4% | 46.1% | |
| 34.38% | 32 | 1.9 | 769 | 12,108 | 36.4% | 33.3% | |
| 53.13% | 32 | 6.0 | 923 | 11,608 | 50.0% | 55.6% | |
| 61.29% | 31 | 6.3 | 853 | 11,622 | 62.5% | 60.0% | |
| 50.00% | 30 | 6.2 | 723 | 11,245 | 75.0% | 33.3% | |
| 53.33% | 30 | 5.8 | 753 | 11,886 | 53.3% | 53.3% | |
| 43.33% | 30 | 6.2 | 869 | 10,821 | 28.6% | 56.3% | |
| 55.17% | 29 | 5.9 | 790 | 11,578 | 26.7% | 85.7% | |
| 64.29% | 28 | 5.2 | 751 | 12,540 | 62.5% | 65.0% | |
| 57.14% | 28 | 3.2 | 740 | 9,686 | 40.0% | 76.9% | |
| 46.43% | 28 | 6.1 | 826 | 11,942 | 30.8% | 60.0% | |
| 44.44% | 27 | 1.1 | 655 | 10,227 | 38.5% | 50.0% | |
| 55.56% | 27 | 5.9 | 752 | 10,363 | 50.0% | 60.0% | |
| 42.31% | 26 | 1.6 | 697 | 12,140 | 50.0% | 38.9% | |
| 34.62% | 26 | 6.2 | 832 | 12,239 | 40.0% | 31.3% | |
| 50.00% | 26 | 6.2 | 713 | 10,527 | 50.0% | 50.0% | |
| 53.85% | 26 | 5.6 | 805 | 10,714 | 50.0% | 56.3% | |
| 52.00% | 25 | 5.4 | 864 | 10,552 | 66.7% | 43.8% | |
| 56.00% | 25 | 3.9 | 680 | 10,867 | 12.5% | 76.5% | |
| 44.00% | 25 | 4.2 | 668 | 11,353 | 50.0% | 38.5% | |
| 54.17% | 24 | 3.3 | 807 | 11,676 | 72.7% | 38.5% | |
| 58.33% | 24 | 5.4 | 728 | 9,576 | 58.3% | 58.3% | |
| 52.17% | 23 | 2.6 | 785 | 13,244 | 62.5% | 46.7% | |
| 50.00% | 22 | 5.9 | 747 | 8,679 | 33.3% | 85.7% | |
| 40.91% | 22 | 4.8 | 746 | 10,888 | 20.0% | 58.3% | |
| 31.82% | 22 | 5.4 | 791 | 11,481 | 30.0% | 33.3% | |
| 36.36% | 22 | 4.4 | 876 | 11,884 | 40.0% | 33.3% | |
| 45.45% | 22 | 1.5 | 817 | 12,103 | 50.0% | 40.0% | |
| 47.62% | 21 | 5.9 | 769 | 11,206 | 33.3% | 58.3% | |
| 42.86% | 21 | 6.2 | 794 | 10,620 | 40.0% | 45.5% | |
| 55.00% | 20 | 6.2 | 748 | 11,303 | 60.0% | 53.3% | |
| 50.00% | 20 | 5.2 | 855 | 12,002 | 25.0% | 66.7% | |
| 57.89% | 19 | 1.5 | 835 | 12,245 | 50.0% | 63.6% | |
| 47.37% | 19 | 1.6 | 788 | 12,666 | 37.5% | 54.5% | |
| 52.63% | 19 | 6.4 | 778 | 9,364 | 41.7% | 71.4% | |
| 61.11% | 18 | 2.3 | 814 | 12,286 | 66.7% | 58.3% | |
| 29.41% | 17 | 5.7 | 772 | 11,372 | 37.5% | 22.2% | |
| 35.29% | 17 | 3.5 | 678 | 11,256 | 25.0% | 44.4% | |
| 58.82% | 17 | 1.5 | 643 | 12,166 | 66.7% | 50.0% | |
| 76.47% | 17 | 3.6 | 825 | 13,339 | 83.3% | 72.7% | |
| 62.50% | 16 | 5.1 | 971 | 12,179 | 40.0% | 72.7% | |
| 50.00% | 16 | 5.5 | 637 | 9,951 | 37.5% | 62.5% | |
| 56.25% | 16 | 4.5 | 728 | 11,802 | 50.0% | 60.0% | |
| 68.75% | 16 | 3.9 | 774 | 11,147 | 50.0% | 87.5% | |
| 75.00% | 16 | 2.8 | 675 | 9,805 | 70.0% | 83.3% | |
| 46.67% | 15 | 5.0 | 779 | 11,654 | 66.7% | 33.3% | |
| 40.00% | 15 | 7.2 | 773 | 11,946 | 25.0% | 45.5% | |
| 53.33% | 15 | 1.6 | 547 | 8,480 | 25.0% | 85.7% | |
| 57.14% | 14 | 5.8 | 668 | 9,774 | 57.1% | 57.1% | |
| 23.08% | 13 | 1.0 | 748 | 12,730 | 20.0% | 25.0% | |
| 30.77% | 13 | 6.4 | 752 | 9,696 | 42.9% | 16.7% | |
| 46.15% | 13 | 1.3 | 786 | 12,721 | 42.9% | 50.0% | |
| 76.92% | 13 | 5.8 | 831 | 10,669 | 85.7% | 66.7% | |
| 30.77% | 13 | 1.0 | 542 | 9,608 | 60.0% | 12.5% | |
| 33.33% | 12 | 5.7 | 809 | 11,097 | 25.0% | 37.5% | |
| 81.82% | 11 | 5.4 | 1,032 | 13,717 | 100.0% | 80.0% | |
| 45.45% | 11 | 6.8 | 902 | 10,664 | 50.0% | 40.0% | |
| 45.45% | 11 | 1.6 | 849 | 13,420 | 40.0% | 50.0% | |
| 36.36% | 11 | 4.2 | 800 | 11,782 | 0.0% | 36.4% | |
| 63.64% | 11 | 4.9 | 799 | 9,659 | 66.7% | 60.0% | |
| 60.00% | 10 | 2.1 | 798 | 14,032 | 66.7% | 57.1% | |
| 50.00% | 10 | 6.3 | 825 | 11,506 | 33.3% | 75.0% | |
| 20.00% | 10 | 2.5 | 632 | 8,516 | 20.0% | 20.0% | |
| 80.00% | 10 | 2.4 | 748 | 11,881 | 50.0% | 100.0% | |
| 60.00% | 10 | 2.1 | 493 | 9,252 | 75.0% | 50.0% | |
| 70.00% | 10 | 2.5 | 556 | 7,742 | 71.4% | 66.7% | |
| 55.56% | 9 | 4.9 | 836 | 13,191 | 66.7% | 50.0% | |
| 44.44% | 9 | 1.5 | 506 | 8,565 | 60.0% | 25.0% | |
| 44.44% | 9 | 1.5 | 559 | 11,439 | 50.0% | 42.9% | |
| 77.78% | 9 | 5.4 | 1,109 | 11,197 | 80.0% | 75.0% | |
| 33.33% | 9 | 0.8 | 694 | 11,972 | 50.0% | 20.0% | |
| 22.22% | 9 | 2.2 | 648 | 8,522 | 28.6% | 0.0% | |
| 44.44% | 9 | 0.8 | 710 | 11,248 | 40.0% | 50.0% | |
| 44.44% | 9 | 1.6 | 799 | 13,426 | 66.7% | 33.3% | |
| 77.78% | 9 | 5.3 | 737 | 10,783 | 75.0% | 80.0% | |
| 11.11% | 9 | 2.8 | 536 | 10,807 | 0.0% | 14.3% | |
| 75.00% | 8 | 5.2 | 990 | 13,131 | 50.0% | 83.3% | |
| 50.00% | 8 | 2.8 | 765 | 11,287 | 40.0% | 66.7% | |
| 62.50% | 8 | 1.8 | 615 | 10,323 | 66.7% | 60.0% | |
| 50.00% | 8 | 2.0 | 606 | 13,158 | 50.0% | 50.0% | |
| 37.50% | 8 | 6.0 | 700 | 9,224 | 20.0% | 66.7% | |
| 50.00% | 8 | 6.7 | 788 | 12,722 | 66.7% | 40.0% | |
| 62.50% | 8 | 4.9 | 696 | 11,630 | 60.0% | 66.7% | |
| 50.00% | 8 | 1.1 | 770 | 8,990 | 40.0% | 66.7% | |
| 37.50% | 8 | 1.7 | 490 | 9,122 | 25.0% | 50.0% | |
| 50.00% | 8 | 4.2 | 870 | 12,447 | 50.0% | 50.0% | |
| 25.00% | 8 | 6.2 | 630 | 11,399 | 100.0% | 14.3% | |
| 85.71% | 7 | 6.1 | 690 | 11,251 | 100.0% | 80.0% | |
| 57.14% | 7 | 3.4 | 621 | 9,848 | 0.0% | 80.0% | |
| 42.86% | 7 | 3.2 | 726 | 9,216 | 50.0% | 33.3% | |
| 57.14% | 7 | 1.7 | 445 | 8,101 | 50.0% | 60.0% | |
| 71.43% | 7 | 4.4 | 941 | 12,219 | 66.7% | 75.0% | |
| 71.43% | 7 | 1.8 | 749 | 9,955 | 75.0% | 66.7% | |
| 57.14% | 7 | 1.4 | 451 | 9,541 | 66.7% | 50.0% | |
| 42.86% | 7 | 6.1 | 751 | 9,551 | 50.0% | 33.3% | |
| 50.00% | 6 | 1.5 | 791 | 8,297 | 50.0% | 50.0% | |
| 50.00% | 6 | 6.1 | 902 | 11,897 | 66.7% | 33.3% | |
| 50.00% | 6 | 2.4 | 724 | 13,204 | 100.0% | 40.0% | |
| 66.67% | 6 | 1.9 | 678 | 13,322 | 50.0% | 75.0% | |
| 50.00% | 6 | 6.2 | 825 | 10,154 | 60.0% | 0.0% | |
| 33.33% | 6 | 6.3 | 869 | 8,640 | 33.3% | 33.3% | |
| 33.33% | 6 | 6.2 | 711 | 12,233 | 100.0% | 20.0% | |
| 50.00% | 6 | 1.8 | 527 | 9,303 | 33.3% | 66.7% | |
| 60.00% | 5 | 1.7 | 549 | 8,196 | 66.7% | 50.0% | |
| 20.00% | 5 | 4.8 | 647 | 11,392 | 0.0% | 33.3% | |
| 60.00% | 5 | 1.5 | 395 | 8,588 | 50.0% | 66.7% | |
| 40.00% | 5 | 4.3 | 732 | 10,782 | 0.0% | 50.0% | |
| 40.00% | 5 | 1.8 | 615 | 9,385 | 66.7% | 0.0% | |
| 60.00% | 5 | 5.9 | 675 | 10,899 | 50.0% | 66.7% | |
| 20.00% | 5 | 6.0 | 802 | 12,794 | 0.0% | 25.0% | |
| 20.00% | 5 | 2.3 | 699 | 12,735 | 0.0% | 25.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Gragas - Czesto zadawane pytania
Jakie sa najlepsze matchupy Gragas w League of Legends?
Najlepsze matchupy Gragas w patchu 26.10 to Teemo, Garen, and Darius. Gragas 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 Gragas?
Najgorsze matchupy Gragas to Fiddlesticks, Senna, and Qiyana. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Gragas i moga wykorzystac slabosci Gragas na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Gragas?
Mozesz sprawdzic dane matchupow Gragas 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 Gragas.
Kogo kontruje Gragas w League of Legends?
Gragas kontruje Teemo, Garen, and Darius w patchu 26.10. To sa najbardziej korzystne matchupy Gragas, gdzie Gragas ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Gragas w szczegolach.
Kto kontruje Gragas na linii?
Fiddlesticks, Senna, and Qiyana kontruja Gragas na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Gragas. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.