SwainMatchups
Swain Matchup-Daten für League of Legends Patch 26.10. Winrates, Leistungsstatistiken und beste Builds für jedes Swain Matchup. Finde heraus wen Swain schlägt und gegen wen Swain verliert in der Lane.
Swain Matchup-Analyse
Verwende das Dropdown-Menü, um einen Gegner auszuwählen und eine detaillierte Analyse zu sehen, wie Swain gegen ihn abschneidet. Du erhältst Kopf-an-Kopf-Winrates, Laning-Statistiken, den besten Build und die besten Runen für das Matchup sowie eine Früh- vs. Spätspiel-Analyse — alles basierend auf echten Ranked-Daten.
Swain Matchup-Daten fur League of Legends Patch 26.10. Die Tabelle unten zeigt Swains Siegesrate, Golddifferenz und Leistungsstatistiken gegen jeden Champion in der aktuellen Meta. Klicke auf einen Championnamen, um eine detaillierte Gegenuberstellung zu sehen, einschliesslich des besten Swain Builds, Runen, Laning-Statistiken und Fruhe- vs. Spate-Spielanalyse fur dieses spezifische Matchup.
Gegner | Siegesrate | Spiele | CS/min | Schaden/Min | Gold/Spiel | Fruhe SR | Spate SR |
|---|---|---|---|---|---|---|---|
| 51.51% | 332 | 2.5 | 681 | 10,325 | 48.8% | 53.2% | |
| 49.49% | 293 | 2.1 | 671 | 9,737 | 50.0% | 49.1% | |
| 43.56% | 225 | 2.2 | 692 | 9,717 | 39.8% | 47.0% | |
| 46.23% | 199 | 2.8 | 709 | 10,472 | 46.0% | 46.4% | |
| 56.48% | 193 | 1.8 | 766 | 9,747 | 53.4% | 59.0% | |
| 46.24% | 186 | 1.8 | 643 | 9,708 | 46.8% | 45.9% | |
| 44.32% | 176 | 1.8 | 754 | 10,263 | 43.7% | 44.8% | |
| 49.38% | 160 | 1.7 | 666 | 9,725 | 50.8% | 48.4% | |
| 50.00% | 158 | 6.0 | 995 | 12,476 | 51.5% | 48.9% | |
| 57.05% | 156 | 1.8 | 821 | 9,798 | 54.5% | 59.5% | |
| 59.87% | 152 | 5.8 | 896 | 12,477 | 68.3% | 54.4% | |
| 56.08% | 148 | 5.6 | 913 | 12,524 | 58.6% | 53.9% | |
| 54.78% | 115 | 5.2 | 867 | 11,969 | 63.6% | 49.3% | |
| 51.82% | 110 | 2.6 | 891 | 9,537 | 57.9% | 45.3% | |
| 43.64% | 110 | 1.9 | 720 | 9,939 | 40.8% | 45.9% | |
| 48.15% | 108 | 5.9 | 900 | 11,967 | 48.0% | 48.3% | |
| 48.54% | 103 | 1.7 | 665 | 9,655 | 59.0% | 42.2% | |
| 62.38% | 101 | 2.5 | 688 | 10,234 | 62.8% | 62.1% | |
| 39.60% | 101 | 3.2 | 711 | 10,294 | 28.9% | 46.0% | |
| 52.08% | 96 | 1.7 | 720 | 9,586 | 54.4% | 50.0% | |
| 52.17% | 92 | 1.8 | 809 | 10,281 | 45.5% | 55.9% | |
| 38.89% | 90 | 1.6 | 694 | 9,120 | 35.7% | 41.7% | |
| 60.67% | 89 | 5.8 | 888 | 11,515 | 59.6% | 62.2% | |
| 59.55% | 89 | 5.7 | 952 | 12,459 | 63.9% | 56.6% | |
| 47.67% | 86 | 2.0 | 653 | 10,404 | 59.3% | 42.4% | |
| 47.67% | 86 | 5.9 | 868 | 10,794 | 47.6% | 47.7% | |
| 55.81% | 86 | 2.6 | 749 | 9,832 | 64.4% | 46.3% | |
| 58.82% | 85 | 3.2 | 716 | 10,237 | 58.8% | 58.8% | |
| 51.19% | 84 | 1.7 | 787 | 9,701 | 57.8% | 43.6% | |
| 47.44% | 78 | 5.9 | 853 | 9,946 | 58.5% | 35.1% | |
| 49.33% | 75 | 6.0 | 909 | 12,050 | 43.9% | 55.9% | |
| 47.30% | 74 | 4.8 | 844 | 11,084 | 51.9% | 44.7% | |
| 51.35% | 74 | 1.7 | 662 | 9,443 | 46.9% | 54.8% | |
| 47.30% | 74 | 5.8 | 908 | 10,794 | 51.6% | 44.2% | |
| 45.07% | 71 | 1.8 | 716 | 9,690 | 43.3% | 46.3% | |
| 42.86% | 70 | 1.8 | 649 | 9,335 | 50.0% | 36.1% | |
| 53.03% | 66 | 5.2 | 804 | 10,428 | 63.6% | 42.4% | |
| 34.43% | 61 | 1.7 | 543 | 9,196 | 33.3% | 35.1% | |
| 54.10% | 61 | 5.9 | 940 | 11,156 | 42.9% | 60.0% | |
| 50.00% | 60 | 5.8 | 857 | 10,480 | 50.0% | 50.0% | |
| 50.00% | 57 | 2.0 | 763 | 10,272 | 50.0% | 50.0% | |
| 32.73% | 55 | 5.0 | 857 | 11,692 | 42.9% | 26.5% | |
| 52.83% | 53 | 4.7 | 956 | 10,705 | 61.5% | 44.4% | |
| 56.60% | 53 | 5.8 | 949 | 13,299 | 57.9% | 55.9% | |
| 49.02% | 51 | 2.1 | 725 | 9,528 | 38.1% | 56.7% | |
| 62.75% | 51 | 4.5 | 903 | 11,085 | 64.7% | 61.8% | |
| 52.94% | 51 | 1.7 | 674 | 9,337 | 59.3% | 45.8% | |
| 43.14% | 51 | 1.9 | 835 | 10,100 | 40.0% | 46.1% | |
| 60.87% | 46 | 1.6 | 829 | 9,946 | 77.3% | 45.8% | |
| 40.00% | 45 | 5.9 | 754 | 9,852 | 31.6% | 46.1% | |
| 55.81% | 43 | 6.1 | 927 | 12,367 | 61.9% | 50.0% | |
| 33.33% | 42 | 5.4 | 890 | 11,975 | 37.5% | 30.8% | |
| 47.62% | 42 | 1.6 | 687 | 9,183 | 33.3% | 61.9% | |
| 52.38% | 42 | 4.6 | 1,060 | 11,038 | 50.0% | 53.9% | |
| 48.78% | 41 | 3.6 | 870 | 10,301 | 56.3% | 44.0% | |
| 42.50% | 40 | 6.4 | 932 | 11,989 | 41.2% | 43.5% | |
| 55.00% | 40 | 6.1 | 872 | 10,456 | 47.4% | 61.9% | |
| 61.54% | 39 | 6.1 | 958 | 11,678 | 73.7% | 50.0% | |
| 57.89% | 38 | 2.2 | 822 | 11,234 | 42.9% | 66.7% | |
| 42.11% | 38 | 4.5 | 667 | 9,359 | 38.1% | 47.1% | |
| 47.37% | 38 | 5.6 | 881 | 11,036 | 47.1% | 47.6% | |
| 59.46% | 37 | 6.2 | 977 | 12,240 | 52.4% | 68.8% | |
| 50.00% | 36 | 5.5 | 770 | 10,635 | 43.8% | 55.0% | |
| 52.78% | 36 | 5.0 | 910 | 10,947 | 60.0% | 47.6% | |
| 65.71% | 35 | 5.0 | 887 | 11,837 | 76.5% | 55.6% | |
| 44.12% | 34 | 5.6 | 830 | 10,738 | 50.0% | 37.5% | |
| 50.00% | 32 | 5.8 | 932 | 11,586 | 41.7% | 55.0% | |
| 59.38% | 32 | 1.8 | 740 | 9,095 | 84.6% | 42.1% | |
| 51.61% | 31 | 5.8 | 834 | 10,536 | 61.1% | 38.5% | |
| 64.52% | 31 | 5.4 | 939 | 11,827 | 71.4% | 62.5% | |
| 40.00% | 30 | 6.5 | 805 | 11,893 | 53.3% | 26.7% | |
| 48.28% | 29 | 5.9 | 873 | 10,736 | 53.9% | 43.8% | |
| 60.71% | 28 | 6.0 | 988 | 13,591 | 61.5% | 60.0% | |
| 42.86% | 28 | 6.5 | 1,037 | 11,176 | 54.5% | 35.3% | |
| 25.93% | 27 | 3.7 | 880 | 10,230 | 18.2% | 31.3% | |
| 57.69% | 26 | 6.3 | 858 | 11,571 | 50.0% | 66.7% | |
| 53.85% | 26 | 6.0 | 823 | 11,264 | 41.7% | 64.3% | |
| 53.85% | 26 | 1.8 | 700 | 10,036 | 50.0% | 57.1% | |
| 52.00% | 25 | 6.4 | 793 | 10,500 | 50.0% | 54.5% | |
| 50.00% | 24 | 5.5 | 850 | 11,369 | 40.0% | 57.1% | |
| 45.83% | 24 | 5.9 | 946 | 10,851 | 30.0% | 57.1% | |
| 60.87% | 23 | 4.9 | 737 | 10,230 | 66.7% | 54.5% | |
| 52.17% | 23 | 5.5 | 921 | 10,919 | 40.0% | 61.5% | |
| 63.64% | 22 | 5.2 | 961 | 9,652 | 66.7% | 60.0% | |
| 40.91% | 22 | 6.2 | 860 | 11,412 | 60.0% | 25.0% | |
| 54.55% | 22 | 6.8 | 994 | 13,521 | 100.0% | 41.2% | |
| 45.45% | 22 | 5.9 | 925 | 10,918 | 54.5% | 36.4% | |
| 33.33% | 21 | 2.1 | 689 | 8,911 | 28.6% | 42.9% | |
| 52.38% | 21 | 3.7 | 708 | 9,768 | 60.0% | 45.5% | |
| 57.14% | 21 | 6.1 | 860 | 9,888 | 70.0% | 45.5% | |
| 47.62% | 21 | 5.7 | 834 | 10,956 | 40.0% | 54.5% | |
| 90.00% | 20 | 1.8 | 692 | 10,699 | 90.9% | 88.9% | |
| 50.00% | 20 | 6.7 | 1,037 | 10,925 | 58.3% | 37.5% | |
| 50.00% | 20 | 4.2 | 865 | 11,476 | 50.0% | 50.0% | |
| 40.00% | 20 | 5.5 | 837 | 10,644 | 36.4% | 44.4% | |
| 55.00% | 20 | 6.1 | 918 | 12,714 | 80.0% | 30.0% | |
| 65.00% | 20 | 5.5 | 1,086 | 12,043 | 100.0% | 58.8% | |
| 50.00% | 20 | 5.8 | 1,325 | 11,731 | 80.0% | 40.0% | |
| 50.00% | 18 | 5.5 | 898 | 10,345 | 50.0% | 50.0% | |
| 61.11% | 18 | 6.2 | 986 | 10,393 | 37.5% | 80.0% | |
| 55.56% | 18 | 6.2 | 875 | 12,937 | 62.5% | 50.0% | |
| 66.67% | 18 | 4.2 | 791 | 10,947 | 87.5% | 50.0% | |
| 44.44% | 18 | 6.0 | 1,022 | 10,764 | 50.0% | 40.0% | |
| 35.29% | 17 | 5.7 | 1,089 | 13,676 | 40.0% | 33.3% | |
| 23.53% | 17 | 5.1 | 761 | 11,412 | 28.6% | 20.0% | |
| 23.53% | 17 | 5.8 | 929 | 12,300 | 0.0% | 28.6% | |
| 75.00% | 16 | 6.0 | 930 | 12,274 | 50.0% | 100.0% | |
| 68.75% | 16 | 2.5 | 854 | 11,273 | 100.0% | 58.3% | |
| 43.75% | 16 | 5.3 | 946 | 11,530 | 40.0% | 45.5% | |
| 66.67% | 15 | 6.1 | 1,063 | 9,215 | 72.7% | 50.0% | |
| 42.86% | 14 | 5.5 | 852 | 12,043 | 20.0% | 55.6% | |
| 64.29% | 14 | 6.6 | 923 | 13,452 | 70.0% | 50.0% | |
| 71.43% | 14 | 5.8 | 1,120 | 12,915 | 100.0% | 50.0% | |
| 53.85% | 13 | 5.6 | 927 | 10,294 | 33.3% | 71.4% | |
| 66.67% | 12 | 5.6 | 854 | 11,319 | 66.7% | 66.7% | |
| 66.67% | 12 | 5.8 | 858 | 9,768 | 66.7% | 66.7% | |
| 75.00% | 12 | 5.9 | 942 | 12,725 | 100.0% | 57.1% | |
| 41.67% | 12 | 5.9 | 844 | 11,682 | 40.0% | 42.9% | |
| 58.33% | 12 | 5.8 | 957 | 11,208 | 55.6% | 66.7% | |
| 66.67% | 12 | 4.4 | 783 | 12,315 | 50.0% | 70.0% | |
| 33.33% | 12 | 6.2 | 857 | 11,919 | 0.0% | 44.4% | |
| 66.67% | 12 | 5.1 | 796 | 11,354 | 60.0% | 71.4% | |
| 58.33% | 12 | 4.7 | 997 | 10,733 | 50.0% | 62.5% | |
| 63.64% | 11 | 6.0 | 765 | 11,089 | 75.0% | 57.1% | |
| 45.45% | 11 | 5.4 | 776 | 10,287 | 66.7% | 20.0% | |
| 50.00% | 10 | 4.7 | 919 | 10,411 | 25.0% | 66.7% | |
| 60.00% | 10 | 2.1 | 659 | 8,971 | 33.3% | 100.0% | |
| 55.56% | 9 | 5.6 | 1,001 | 13,736 | 50.0% | 57.1% | |
| 33.33% | 9 | 6.5 | 780 | 10,829 | 33.3% | 33.3% | |
| 44.44% | 9 | 6.3 | 976 | 11,533 | 66.7% | 33.3% | |
| 22.22% | 9 | 5.0 | 965 | 10,665 | 25.0% | 20.0% | |
| 37.50% | 8 | 3.8 | 792 | 9,183 | 20.0% | 66.7% | |
| 62.50% | 8 | 6.5 | 817 | 10,800 | 75.0% | 50.0% | |
| 62.50% | 8 | 5.8 | 1,086 | 14,455 | 50.0% | 66.7% | |
| 62.50% | 8 | 1.6 | 794 | 10,940 | 33.3% | 80.0% | |
| 62.50% | 8 | 7.0 | 692 | 8,984 | 80.0% | 33.3% | |
| 37.50% | 8 | 3.6 | 714 | 9,702 | 60.0% | 0.0% | |
| 28.57% | 7 | 3.7 | 634 | 11,963 | 33.3% | 25.0% | |
| 57.14% | 7 | 4.4 | 860 | 11,635 | 50.0% | 66.7% | |
| 14.29% | 7 | 1.9 | 709 | 10,462 | 0.0% | 20.0% | |
| 57.14% | 7 | 2.2 | 694 | 7,952 | 50.0% | 66.7% | |
| 42.86% | 7 | 6.6 | 771 | 11,084 | 75.0% | 0.0% | |
| 66.67% | 6 | 6.2 | 828 | 11,119 | 100.0% | 50.0% | |
| 33.33% | 6 | 2.6 | 895 | 10,655 | 50.0% | 25.0% | |
| 66.67% | 6 | 3.2 | 702 | 8,230 | 50.0% | 100.0% | |
| 50.00% | 6 | 2.1 | 648 | 11,166 | 0.0% | 50.0% | |
| 80.00% | 5 | 2.6 | 701 | 10,335 | 100.0% | 66.7% | |
| 100.00% | 5 | 4.5 | 899 | 11,393 | 100.0% | 100.0% | |
| 60.00% | 5 | 7.2 | 732 | 8,524 | 50.0% | 100.0% | |
| 0.00% | 5 | 2.3 | 723 | 11,562 | 0.0% | 0.0% | |
| 0.00% | 5 | 5.7 | 938 | 9,977 | 0.0% | 0.0% | |
| 40.00% | 5 | 3.0 | 1,012 | 13,330 | 0.0% | 40.0% | |
| 20.00% | 5 | 4.8 | 725 | 12,468 | 0.0% | 20.0% | |
| 60.00% | 5 | 5.4 | 804 | 11,424 | 50.0% | 100.0% | |
| 40.00% | 5 | 5.6 | 666 | 10,930 | 33.3% | 50.0% | |
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Swain Matchups - Haufig gestellte Fragen
Was sind die besten Matchups von Swain in League of Legends?
Die besten Matchups von Swain in Patch 26.10 sind Lux, Seraphine, and Senna. Swain hat die hochsten Siegesraten gegen diese Champions und kann die Lane dominieren, wenn er ihnen gegenubersteht. Wahle einen Gegner aus der Matchup-Tabelle, um detaillierte Stats zu sehen.
Was sind die schlechtesten Matchups von Swain?
Die schlechtesten Matchups von Swain sind Wukong, Gwen, and Fiddlesticks. Diese Champions haben gunstige Siegesraten gegen Swain und konnen die Schwachen von Swain in der Lane ausnutzen. Klicke auf einen Champion-Namen in der Tabelle, um die vollstandige Matchup-Aufschlusselung zu sehen.
Wie uberprufe ich Swain Matchup-Daten?
Du kannst Swain Matchup-Daten direkt hier auf dieser Seite uberprufen. Die Matchup-Tabelle zeigt Siegesraten und Stats gegen jeden Champion. Klicke auf einen Champion-Namen, um eine detaillierte Aufschlusselung zu sehen, einschliesslich des besten Builds, der Runes, Laning-Stats und der Analyse von fruhem vs. spatem Spiel fur dieses spezifische Swain Matchup.
Wen kontert Swain in League of Legends?
Swain kontert Lux, Seraphine, and Senna in Patch 26.10. Dies sind die gunstigsten Matchups von Swain, wo Swain die hochsten Siegesraten und starkste Laning-Performance hat. Verwende den Matchup-Selektor oben, um jedes spezifische Swain Matchup im Detail zu erkunden.
Wer kontert Swain in der Lane?
Wukong, Gwen, and Fiddlesticks countern Swain in der Lane wahrend Patch 26.10. Diese Champions haben die besten Siegesraten gegen Swain. Schau im Counters-Tab nach oder klicke auf einen Champion in der Tabelle, um detaillierte Matchup-Strategien und empfohlene Builds zu sehen.