SeraphineMatchups
Seraphine Matchup-Daten für League of Legends Patch 26.10. Winrates, Leistungsstatistiken und beste Builds für jedes Seraphine Matchup. Finde heraus wen Seraphine schlägt und gegen wen Seraphine verliert in der Lane.
Seraphine Matchup-Analyse
Verwende das Dropdown-Menü, um einen Gegner auszuwählen und eine detaillierte Analyse zu sehen, wie Seraphine 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.
Seraphine Matchup-Daten fur League of Legends Patch 26.10. Die Tabelle unten zeigt Seraphines Siegesrate, Golddifferenz und Leistungsstatistiken gegen jeden Champion in der aktuellen Meta. Klicke auf einen Championnamen, um eine detaillierte Gegenuberstellung zu sehen, einschliesslich des besten Seraphine 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 |
|---|---|---|---|---|---|---|---|
| 50.15% | 1,019 | 1.6 | 456 | 9,360 | 45.9% | 53.1% | |
| 48.30% | 882 | 1.4 | 464 | 8,844 | 47.8% | 48.7% | |
| 49.42% | 684 | 1.5 | 506 | 9,348 | 48.7% | 50.0% | |
| 53.81% | 630 | 1.4 | 486 | 9,176 | 54.6% | 53.2% | |
| 54.65% | 624 | 1.4 | 499 | 9,183 | 59.5% | 50.3% | |
| 50.45% | 553 | 1.5 | 467 | 9,181 | 48.7% | 51.7% | |
| 52.10% | 499 | 1.4 | 498 | 9,213 | 54.3% | 50.4% | |
| 50.43% | 466 | 1.4 | 432 | 8,728 | 55.4% | 46.6% | |
| 50.98% | 462 | 1.8 | 513 | 9,611 | 44.6% | 55.6% | |
| 49.00% | 449 | 1.5 | 470 | 9,250 | 44.6% | 53.0% | |
| 51.47% | 443 | 1.4 | 472 | 8,544 | 53.7% | 49.1% | |
| 55.89% | 433 | 1.4 | 496 | 9,092 | 57.1% | 54.9% | |
| 45.75% | 400 | 1.5 | 503 | 9,076 | 47.7% | 44.3% | |
| 52.13% | 328 | 1.5 | 467 | 9,241 | 47.6% | 54.9% | |
| 53.87% | 323 | 1.3 | 374 | 8,659 | 60.3% | 48.6% | |
| 54.66% | 322 | 1.3 | 430 | 8,985 | 58.8% | 51.6% | |
| 43.95% | 314 | 1.4 | 455 | 8,721 | 42.6% | 45.3% | |
| 54.02% | 311 | 1.4 | 463 | 9,034 | 54.0% | 54.1% | |
| 50.51% | 293 | 1.7 | 560 | 9,323 | 50.0% | 50.9% | |
| 57.88% | 292 | 1.4 | 505 | 9,740 | 63.3% | 54.6% | |
| 52.75% | 273 | 1.4 | 513 | 8,967 | 55.3% | 50.4% | |
| 60.00% | 270 | 1.8 | 492 | 9,468 | 58.0% | 61.6% | |
| 50.19% | 259 | 1.5 | 590 | 9,054 | 50.5% | 50.0% | |
| 50.39% | 256 | 1.6 | 478 | 9,593 | 51.0% | 50.0% | |
| 56.39% | 227 | 1.5 | 499 | 9,349 | 57.6% | 55.5% | |
| 60.64% | 188 | 4.2 | 623 | 10,997 | 59.8% | 61.3% | |
| 52.97% | 185 | 1.4 | 470 | 9,057 | 59.7% | 48.1% | |
| 55.62% | 178 | 1.4 | 500 | 8,849 | 57.6% | 53.8% | |
| 59.26% | 162 | 1.4 | 485 | 9,382 | 67.6% | 52.3% | |
| 51.32% | 152 | 1.4 | 503 | 9,126 | 56.1% | 47.7% | |
| 50.36% | 139 | 1.4 | 448 | 9,081 | 58.7% | 43.4% | |
| 54.26% | 129 | 1.4 | 492 | 9,176 | 42.6% | 62.7% | |
| 51.97% | 127 | 1.3 | 525 | 9,188 | 54.5% | 50.0% | |
| 47.11% | 121 | 1.5 | 481 | 9,723 | 50.0% | 45.1% | |
| 51.33% | 113 | 6.5 | 851 | 11,808 | 50.0% | 52.3% | |
| 42.86% | 112 | 1.4 | 473 | 8,768 | 40.7% | 44.8% | |
| 42.57% | 101 | 1.8 | 474 | 9,522 | 50.0% | 37.7% | |
| 49.48% | 97 | 6.3 | 801 | 12,072 | 47.9% | 51.0% | |
| 55.91% | 93 | 4.0 | 689 | 10,924 | 67.6% | 48.2% | |
| 55.56% | 90 | 5.2 | 722 | 11,630 | 51.4% | 58.2% | |
| 48.78% | 82 | 1.3 | 502 | 8,689 | 50.0% | 47.7% | |
| 48.78% | 82 | 1.4 | 464 | 9,092 | 50.0% | 47.9% | |
| 57.69% | 78 | 5.6 | 760 | 12,321 | 44.8% | 65.3% | |
| 49.33% | 75 | 3.1 | 605 | 10,493 | 54.5% | 45.2% | |
| 52.70% | 74 | 2.0 | 584 | 9,144 | 55.6% | 50.0% | |
| 52.78% | 72 | 1.7 | 534 | 9,690 | 40.0% | 61.9% | |
| 50.75% | 67 | 1.5 | 546 | 9,097 | 37.5% | 58.1% | |
| 56.06% | 66 | 1.9 | 475 | 9,679 | 59.3% | 53.9% | |
| 55.74% | 61 | 6.5 | 794 | 11,803 | 61.3% | 50.0% | |
| 44.44% | 54 | 4.4 | 709 | 12,479 | 40.9% | 46.9% | |
| 55.77% | 52 | 2.5 | 504 | 9,710 | 55.0% | 56.3% | |
| 58.33% | 48 | 2.0 | 467 | 9,670 | 55.6% | 60.0% | |
| 62.50% | 48 | 2.6 | 470 | 9,367 | 60.9% | 64.0% | |
| 46.51% | 43 | 4.9 | 752 | 11,369 | 35.7% | 51.7% | |
| 65.00% | 40 | 4.2 | 612 | 10,376 | 50.0% | 73.1% | |
| 47.37% | 38 | 2.3 | 696 | 9,436 | 47.1% | 47.6% | |
| 52.78% | 36 | 6.5 | 816 | 12,377 | 50.0% | 54.5% | |
| 36.11% | 36 | 1.5 | 455 | 9,166 | 35.3% | 36.8% | |
| 51.43% | 35 | 4.7 | 603 | 10,301 | 47.1% | 55.6% | |
| 37.14% | 35 | 2.4 | 511 | 10,059 | 33.3% | 40.0% | |
| 42.86% | 35 | 1.7 | 529 | 10,531 | 50.0% | 40.7% | |
| 69.70% | 33 | 1.4 | 423 | 10,853 | 70.0% | 69.6% | |
| 53.13% | 32 | 2.7 | 530 | 9,604 | 46.7% | 58.8% | |
| 56.25% | 32 | 1.8 | 632 | 9,914 | 57.1% | 55.6% | |
| 64.52% | 31 | 6.5 | 878 | 13,136 | 60.0% | 66.7% | |
| 54.84% | 31 | 1.3 | 480 | 10,108 | 45.5% | 60.0% | |
| 63.33% | 30 | 6.2 | 834 | 12,933 | 70.0% | 60.0% | |
| 56.67% | 30 | 6.1 | 794 | 12,096 | 56.3% | 57.1% | |
| 55.17% | 29 | 6.3 | 810 | 12,476 | 50.0% | 61.5% | |
| 48.15% | 27 | 1.7 | 538 | 10,046 | 45.5% | 50.0% | |
| 53.85% | 26 | 5.5 | 733 | 10,739 | 50.0% | 58.3% | |
| 44.00% | 25 | 5.5 | 755 | 11,995 | 50.0% | 41.2% | |
| 60.87% | 23 | 5.0 | 673 | 11,412 | 50.0% | 64.7% | |
| 45.45% | 22 | 2.2 | 657 | 9,313 | 45.5% | 45.5% | |
| 54.55% | 22 | 5.6 | 651 | 10,764 | 64.3% | 37.5% | |
| 50.00% | 22 | 4.3 | 751 | 10,632 | 42.9% | 53.3% | |
| 57.14% | 21 | 6.6 | 869 | 12,175 | 66.7% | 44.4% | |
| 47.62% | 21 | 1.6 | 435 | 8,831 | 36.4% | 60.0% | |
| 47.37% | 19 | 4.8 | 622 | 9,457 | 37.5% | 54.5% | |
| 63.16% | 19 | 3.6 | 663 | 9,040 | 54.5% | 75.0% | |
| 47.37% | 19 | 2.1 | 478 | 10,527 | 50.0% | 46.7% | |
| 63.16% | 19 | 1.4 | 530 | 10,084 | 42.9% | 75.0% | |
| 55.56% | 18 | 6.6 | 756 | 12,700 | 75.0% | 40.0% | |
| 66.67% | 18 | 3.0 | 499 | 9,456 | 80.0% | 50.0% | |
| 61.11% | 18 | 3.4 | 521 | 9,170 | 50.0% | 70.0% | |
| 70.59% | 17 | 6.0 | 761 | 12,361 | 71.4% | 70.0% | |
| 56.25% | 16 | 7.1 | 765 | 10,739 | 75.0% | 50.0% | |
| 43.75% | 16 | 1.4 | 560 | 9,718 | 16.7% | 60.0% | |
| 43.75% | 16 | 4.0 | 425 | 9,555 | 55.6% | 28.6% | |
| 68.75% | 16 | 5.3 | 729 | 11,052 | 42.9% | 88.9% | |
| 56.25% | 16 | 1.2 | 485 | 8,455 | 62.5% | 50.0% | |
| 40.00% | 15 | 2.2 | 518 | 9,435 | 42.9% | 37.5% | |
| 40.00% | 15 | 3.3 | 610 | 10,750 | 57.1% | 25.0% | |
| 50.00% | 14 | 5.9 | 930 | 12,775 | 71.4% | 28.6% | |
| 46.15% | 13 | 1.2 | 522 | 10,101 | 33.3% | 50.0% | |
| 69.23% | 13 | 2.9 | 487 | 10,120 | 77.8% | 50.0% | |
| 76.92% | 13 | 4.3 | 783 | 11,970 | 100.0% | 66.7% | |
| 69.23% | 13 | 5.8 | 757 | 10,756 | 50.0% | 85.7% | |
| 38.46% | 13 | 4.8 | 619 | 11,466 | 0.0% | 45.5% | |
| 50.00% | 12 | 6.2 | 831 | 11,354 | 66.7% | 33.3% | |
| 54.55% | 11 | 4.7 | 735 | 11,158 | 50.0% | 60.0% | |
| 72.73% | 11 | 6.4 | 788 | 14,370 | 60.0% | 83.3% | |
| 72.73% | 11 | 4.4 | 628 | 11,663 | 66.7% | 75.0% | |
| 72.73% | 11 | 5.5 | 652 | 10,752 | 100.0% | 57.1% | |
| 36.36% | 11 | 6.4 | 880 | 12,096 | 60.0% | 16.7% | |
| 72.73% | 11 | 1.4 | 664 | 11,290 | 66.7% | 80.0% | |
| 36.36% | 11 | 2.4 | 683 | 10,630 | 0.0% | 44.4% | |
| 50.00% | 10 | 2.4 | 684 | 10,623 | 33.3% | 57.1% | |
| 30.00% | 10 | 1.5 | 421 | 8,793 | 50.0% | 16.7% | |
| 50.00% | 10 | 5.6 | 717 | 11,359 | 50.0% | 50.0% | |
| 60.00% | 10 | 3.2 | 667 | 11,068 | 33.3% | 71.4% | |
| 50.00% | 10 | 3.4 | 682 | 10,849 | 0.0% | 71.4% | |
| 66.67% | 9 | 1.9 | 502 | 9,240 | 80.0% | 50.0% | |
| 55.56% | 9 | 2.5 | 613 | 10,071 | 75.0% | 40.0% | |
| 62.50% | 8 | 2.6 | 674 | 10,785 | 100.0% | 40.0% | |
| 50.00% | 8 | 2.9 | 497 | 8,861 | 50.0% | 50.0% | |
| 75.00% | 8 | 1.4 | 433 | 10,349 | 50.0% | 83.3% | |
| 37.50% | 8 | 4.5 | 525 | 10,981 | 100.0% | 16.7% | |
| 25.00% | 8 | 1.3 | 386 | 8,293 | 50.0% | 0.0% | |
| 71.43% | 7 | 1.7 | 591 | 11,808 | 0.0% | 71.4% | |
| 28.57% | 7 | 1.6 | 500 | 9,109 | 0.0% | 40.0% | |
| 85.71% | 7 | 2.6 | 593 | 11,287 | 100.0% | 80.0% | |
| 42.86% | 7 | 3.2 | 626 | 10,258 | 50.0% | 33.3% | |
| 42.86% | 7 | 3.4 | 777 | 8,180 | 60.0% | 0.0% | |
| 57.14% | 7 | 2.0 | 557 | 11,297 | 75.0% | 33.3% | |
| 71.43% | 7 | 5.6 | 685 | 10,817 | 100.0% | 33.3% | |
| 66.67% | 6 | 2.2 | 508 | 8,362 | 75.0% | 50.0% | |
| 33.33% | 6 | 1.3 | 396 | 8,754 | 0.0% | 40.0% | |
| 50.00% | 6 | 3.8 | 666 | 8,066 | 40.0% | 100.0% | |
| 50.00% | 6 | 6.2 | 828 | 11,704 | 33.3% | 66.7% | |
| 33.33% | 6 | 1.7 | 557 | 9,011 | 0.0% | 66.7% | |
| 60.00% | 5 | 3.7 | 1,060 | 10,091 | 50.0% | 66.7% | |
| 80.00% | 5 | 1.9 | 542 | 9,889 | 50.0% | 100.0% | |
| 40.00% | 5 | 1.3 | 549 | 10,031 | 50.0% | 33.3% | |
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
Seraphine Matchups - Haufig gestellte Fragen
Was sind die besten Matchups von Seraphine in League of Legends?
Die besten Matchups von Seraphine in Patch 26.10 sind Lux, Nami, and Senna. Seraphine 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 Seraphine?
Die schlechtesten Matchups von Seraphine sind Quinn, Viego, and Taliyah. Diese Champions haben gunstige Siegesraten gegen Seraphine und konnen die Schwachen von Seraphine in der Lane ausnutzen. Klicke auf einen Champion-Namen in der Tabelle, um die vollstandige Matchup-Aufschlusselung zu sehen.
Wie uberprufe ich Seraphine Matchup-Daten?
Du kannst Seraphine 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 Seraphine Matchup.
Wen kontert Seraphine in League of Legends?
Seraphine kontert Lux, Nami, and Senna in Patch 26.10. Dies sind die gunstigsten Matchups von Seraphine, wo Seraphine die hochsten Siegesraten und starkste Laning-Performance hat. Verwende den Matchup-Selektor oben, um jedes spezifische Seraphine Matchup im Detail zu erkunden.
Wer kontert Seraphine in der Lane?
Quinn, Viego, and Taliyah countern Seraphine in der Lane wahrend Patch 26.10. Diese Champions haben die besten Siegesraten gegen Seraphine. Schau im Counters-Tab nach oder klicke auf einen Champion in der Tabelle, um detaillierte Matchup-Strategien und empfohlene Builds zu sehen.