
Dane matchupów Pantheon dla League of Legends patch 26.17. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Pantheon. Dowiedz się kogo Pantheon pokonuje i komu przegrywa na linii.
Użyj menu rozwijanego, aby wybrać przeciwnika i zobaczyć szczegółową analizę, jak Pantheon 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 Pantheon dla patcha 26.17 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Pantheon, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Pantheon, 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 |
|---|---|---|---|---|---|---|---|
| 48.75% | 80 | 1.6 | 661 | 11 315 | 32.1% | 57.7% | |
| 50.00% | 68 | 1.6 | 602 | 10 037 | 56.7% | 44.7% | |
| 43.94% | 66 | 1.5 | 594 | 9842 | 36.1% | 53.3% | |
| 59.26% | 54 | 1.7 | 684 | 10 478 | 70.0% | 52.9% | |
| 46.00% | 50 | 4.8 | 939 | 11 250 | 45.5% | 46.4% | |
| 56.82% | 44 | 1.7 | 746 | 11 836 | 56.3% | 57.1% | |
| 53.49% | 43 | 5.5 | 877 | 11 743 | 55.0% | 52.2% | |
| 45.71% | 35 | 1.5 | 652 | 9976 | 47.1% | 44.4% | |
| 51.43% | 35 | 1.6 | 713 | 10 922 | 37.5% | 63.2% | |
| 65.71% | 35 | 1.6 | 680 | 9592 | 64.7% | 66.7% | |
| 44.12% | 34 | 5.3 | 1011 | 13 507 | 42.9% | 45.0% | |
| 48.48% | 33 | 5.9 | 854 | 11 545 | 50.0% | 47.4% | |
| 62.50% | 32 | 5.3 | 923 | 11 323 | 70.6% | 53.3% | |
| 51.61% | 31 | 5.7 | 987 | 13 784 | 50.0% | 52.4% | |
| 38.71% | 31 | 1.5 | 669 | 10 886 | 50.0% | 33.3% | |
| 40.00% | 30 | 5.3 | 970 | 11 936 | 27.3% | 47.4% | |
| 55.17% | 29 | 2.8 | 850 | 10 984 | 72.7% | 44.4% | |
| 58.62% | 29 | 1.4 | 659 | 10 700 | 75.0% | 47.1% | |
| 44.44% | 27 | 4.9 | 746 | 11 027 | 36.4% | 50.0% | |
| 48.00% | 25 | 5.0 | 774 | 10 655 | 54.5% | 42.9% | |
| 40.00% | 25 | 5.3 | 887 | 10 692 | 50.0% | 27.3% | |
| 58.33% | 24 | 1.4 | 562 | 9392 | 43.8% | 87.5% | |
| 47.83% | 23 | 4.0 | 795 | 11 109 | 40.0% | 53.9% | |
| 30.43% | 23 | 1.6 | 627 | 10 250 | 50.0% | 15.4% | |
| 56.52% | 23 | 1.8 | 713 | 11 622 | 50.0% | 61.5% | |
| 56.52% | 23 | 5.1 | 913 | 11 105 | 58.3% | 54.5% | |
| 40.91% | 22 | 5.6 | 934 | 12 247 | 28.6% | 46.7% | |
| 50.00% | 22 | 1.5 | 661 | 10 963 | 62.5% | 42.9% | |
| 55.00% | 20 | 1.5 | 719 | 10 496 | 62.5% | 50.0% | |
| 50.00% | 20 | 1.4 | 666 | 10 826 | 87.5% | 25.0% | |
| 60.00% | 20 | 5.7 | 805 | 9677 | 69.2% | 42.9% | |
| 63.16% | 19 | 2.7 | 971 | 12 627 | 62.5% | 63.6% | |
| 52.63% | 19 | 1.6 | 725 | 10 683 | 66.7% | 40.0% | |
| 36.84% | 19 | 1.6 | 809 | 12 229 | 37.5% | 36.4% | |
| 63.16% | 19 | 5.3 | 946 | 11 879 | 42.9% | 75.0% | |
| 44.44% | 18 | 1.6 | 681 | 8618 | 63.6% | 14.3% | |
| 50.00% | 18 | 1.8 | 646 | 11 174 | 22.2% | 77.8% | |
| 44.44% | 18 | 5.0 | 845 | 11 515 | 42.9% | 45.5% | |
| 23.53% | 17 | 1.8 | 693 | 11 811 | 100.0% | 18.8% | |
| 64.71% | 17 | 1.8 | 663 | 11 320 | 33.3% | 81.8% | |
| 35.29% | 17 | 5.2 | 1113 | 10 492 | 37.5% | 33.3% | |
| 52.94% | 17 | 4.9 | 860 | 12 906 | 42.9% | 60.0% | |
| 41.18% | 17 | 1.4 | 786 | 10 608 | 37.5% | 44.4% | |
| 50.00% | 16 | 1.3 | 632 | 9302 | 55.6% | 42.9% | |
| 18.75% | 16 | 1.6 | 496 | 8109 | 33.3% | 0.0% | |
| 56.25% | 16 | 4.9 | 1055 | 13 545 | 40.0% | 63.6% | |
| 73.33% | 15 | 5.4 | 876 | 11 120 | 80.0% | 70.0% | |
| 53.33% | 15 | 5.8 | 853 | 10 380 | 57.1% | 50.0% | |
| 42.86% | 14 | 4.3 | 808 | 11 246 | 33.3% | 50.0% | |
| 78.57% | 14 | 5.0 | 778 | 9755 | 75.0% | 83.3% | |
| 42.86% | 14 | 1.1 | 691 | 9143 | 30.0% | 75.0% | |
| 50.00% | 14 | 1.4 | 743 | 12 299 | 57.1% | 42.9% | |
| 38.46% | 13 | 2.9 | 744 | 10 388 | 12.5% | 80.0% | |
| 69.23% | 13 | 4.2 | 1012 | 11 518 | 50.0% | 100.0% | |
| 38.46% | 13 | 4.8 | 830 | 11 173 | 50.0% | 28.6% | |
| 58.33% | 12 | 3.9 | 836 | 12 825 | 33.3% | 66.7% | |
| 66.67% | 12 | 3.2 | 719 | 11 593 | 40.0% | 85.7% | |
| 45.45% | 11 | 1.5 | 573 | 9849 | 20.0% | 66.7% | |
| 27.27% | 11 | 5.5 | 917 | 12 258 | 50.0% | 14.3% | |
| 36.36% | 11 | 4.2 | 904 | 12 647 | 0.0% | 44.4% | |
| 72.73% | 11 | 5.9 | 937 | 11 115 | 62.5% | 100.0% | |
| 81.82% | 11 | 5.2 | 690 | 9746 | 66.7% | 100.0% | |
| 45.45% | 11 | 4.3 | 734 | 11 217 | 66.7% | 37.5% | |
| 63.64% | 11 | 2.4 | 939 | 11 457 | 66.7% | 60.0% | |
| 36.36% | 11 | 5.1 | 926 | 11 942 | 50.0% | 28.6% | |
| 50.00% | 10 | 5.3 | 701 | 11 599 | 50.0% | 50.0% | |
| 40.00% | 10 | 5.7 | 748 | 12 387 | 50.0% | 37.5% | |
| 70.00% | 10 | 4.6 | 902 | 12 006 | 80.0% | 60.0% | |
| 70.00% | 10 | 3.0 | 977 | 15 865 | 100.0% | 66.7% | |
| 55.56% | 9 | 5.1 | 843 | 10 541 | 60.0% | 50.0% | |
| 55.56% | 9 | 3.8 | 713 | 12 909 | 33.3% | 66.7% | |
| 44.44% | 9 | 2.5 | 870 | 10 528 | 50.0% | 33.3% | |
| 33.33% | 9 | 5.4 | 943 | 11 706 | 25.0% | 40.0% | |
| 55.56% | 9 | 2.4 | 697 | 10 252 | 25.0% | 80.0% | |
| 66.67% | 9 | 1.9 | 591 | 9372 | 85.7% | 0.0% | |
| 55.56% | 9 | 4.9 | 753 | 10 144 | 50.0% | 66.7% | |
| 66.67% | 9 | 1.2 | 537 | 8538 | 57.1% | 100.0% | |
| 37.50% | 8 | 4.5 | 715 | 12 072 | 33.3% | 40.0% | |
| 62.50% | 8 | 2.6 | 683 | 9194 | 60.0% | 66.7% | |
| 75.00% | 8 | 0.8 | 726 | 14 118 | 100.0% | 66.7% | |
| 37.50% | 8 | 1.7 | 600 | 9748 | 25.0% | 50.0% | |
| 25.00% | 8 | 1.1 | 811 | 10 812 | 0.0% | 33.3% | |
| 37.50% | 8 | 1.3 | 568 | 10 175 | 40.0% | 33.3% | |
| 50.00% | 8 | 1.6 | 774 | 11 945 | 50.0% | 50.0% | |
| 37.50% | 8 | 4.5 | 797 | 9802 | 50.0% | 25.0% | |
| 62.50% | 8 | 4.2 | 1002 | 11 658 | 66.7% | 60.0% | |
| 75.00% | 8 | 2.1 | 674 | 10 958 | 75.0% | 75.0% | |
| 42.86% | 7 | 2.5 | 747 | 12 051 | 50.0% | 40.0% | |
| 57.14% | 7 | 6.2 | 779 | 9812 | 50.0% | 100.0% | |
| 42.86% | 7 | 3.9 | 907 | 9879 | 66.7% | 25.0% | |
| 85.71% | 7 | 6.2 | 1159 | 12 369 | 66.7% | 100.0% | |
| 42.86% | 7 | 1.1 | 704 | 11 140 | 66.7% | 25.0% | |
| 57.14% | 7 | 3.7 | 759 | 11 139 | 66.7% | 50.0% | |
| 28.57% | 7 | 1.7 | 648 | 12 639 | 0.0% | 40.0% | |
| 42.86% | 7 | 5.1 | 789 | 10 601 | 33.3% | 50.0% | |
| 71.43% | 7 | 2.2 | 831 | 12 936 | 50.0% | 80.0% | |
| 57.14% | 7 | 5.0 | 871 | 9797 | 60.0% | 50.0% | |
| 57.14% | 7 | 4.9 | 591 | 8965 | 50.0% | 66.7% | |
| 42.86% | 7 | 5.8 | 877 | 11 694 | 50.0% | 33.3% | |
| 28.57% | 7 | 4.8 | 662 | 9057 | 0.0% | 66.7% | |
| 50.00% | 6 | 5.5 | 860 | 13 375 | 66.7% | 33.3% | |
| 66.67% | 6 | 5.9 | 1115 | 13 137 | 50.0% | 75.0% | |
| 50.00% | 6 | 3.3 | 804 | 12 376 | 100.0% | 40.0% | |
| 16.67% | 6 | 1.2 | 660 | 9938 | 0.0% | 33.3% | |
| 66.67% | 6 | 3.4 | 982 | 12 756 | 33.3% | 100.0% | |
| 50.00% | 6 | 1.7 | 849 | 11 688 | 50.0% | 50.0% | |
| 16.67% | 6 | 0.7 | 663 | 11 605 | 50.0% | 0.0% | |
| 50.00% | 6 | 2.4 | 790 | 13 171 | 33.3% | 66.7% | |
| 83.33% | 6 | 6.6 | 666 | 12 079 | 66.7% | 100.0% | |
| 80.00% | 5 | 6.3 | 1006 | 11 798 | 75.0% | 100.0% | |
| 60.00% | 5 | 1.5 | 455 | 7725 | 100.0% | 33.3% | |
| 80.00% | 5 | 2.0 | 712 | 8869 | 75.0% | 100.0% | |
| 60.00% | 5 | 1.3 | 435 | 10 760 | 50.0% | 66.7% | |
| 60.00% | 5 | 1.6 | 652 | 8685 | 50.0% | 66.7% | |
| 20.00% | 5 | 0.3 | 452 | 7430 | 0.0% | 100.0% | |
| 80.00% | 5 | 3.7 | 734 | 10 333 | 100.0% | 50.0% | |
| 40.00% | 5 | 0.7 | 904 | 11 744 | 33.3% | 50.0% | |
| 60.00% | 5 | 4.9 | 918 | 12 350 | 0.0% | 75.0% | |
| 60.00% | 5 | 1.5 | 647 | 10 440 | 66.7% | 50.0% | |
| 40.00% | 5 | 4.8 | 833 | 14 515 | 0.0% | 50.0% | |
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Najlepsze matchupy Pantheon w patchu 26.17 to Lux, Seraphine, and Thresh. Pantheon 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.
Najgorsze matchupy Pantheon to Rammus, Master Yi, and Milio. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Pantheon i moga wykorzystac slabosci Pantheon na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Mozesz sprawdzic dane matchupow Pantheon 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 Pantheon.
Pantheon kontruje Lux, Seraphine, and Thresh w patchu 26.17. To sa najbardziej korzystne matchupy Pantheon, gdzie Pantheon ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Pantheon w szczegolach.
Rammus, Master Yi, and Milio kontruja Pantheon na linii w patchu 26.17. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Pantheon. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.
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