SeraphineMatchupy
Dane matchupów Seraphine dla League of Legends patch 26.13. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Seraphine. Dowiedz się kogo Seraphine pokonuje i komu przegrywa na linii.
Analiza matchupu Seraphine
Użyj menu rozwijanego, aby wybrać przeciwnika i zobaczyć szczegółową analizę, jak Seraphine 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 Seraphine dla patcha 26.13 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Seraphine, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Seraphine, 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 |
|---|---|---|---|---|---|---|---|
| 51.50% | 301 | 1.6 | 460 | 9,603 | 49.5% | 52.5% | |
| 51.95% | 231 | 2.1 | 563 | 9,464 | 55.8% | 48.8% | |
| 52.63% | 209 | 1.5 | 537 | 9,442 | 55.4% | 50.4% | |
| 50.99% | 202 | 1.5 | 518 | 9,154 | 53.7% | 48.6% | |
| 45.45% | 187 | 1.5 | 524 | 8,796 | 48.3% | 43.0% | |
| 57.14% | 182 | 1.6 | 488 | 9,282 | 55.3% | 58.8% | |
| 50.66% | 152 | 1.5 | 481 | 9,226 | 53.7% | 48.2% | |
| 46.62% | 133 | 1.7 | 490 | 9,545 | 39.6% | 50.6% | |
| 48.36% | 122 | 1.5 | 523 | 8,853 | 48.3% | 48.4% | |
| 46.28% | 121 | 1.6 | 525 | 9,206 | 46.4% | 46.1% | |
| 55.26% | 114 | 1.4 | 472 | 8,958 | 58.3% | 53.0% | |
| 46.90% | 113 | 1.5 | 480 | 9,251 | 59.5% | 39.4% | |
| 48.65% | 111 | 1.8 | 471 | 9,413 | 40.4% | 54.7% | |
| 50.00% | 110 | 2.0 | 530 | 9,516 | 44.4% | 53.9% | |
| 53.33% | 105 | 1.4 | 445 | 8,579 | 58.0% | 49.1% | |
| 58.82% | 102 | 1.9 | 485 | 9,576 | 59.0% | 58.7% | |
| 57.95% | 88 | 1.8 | 571 | 9,251 | 56.1% | 59.6% | |
| 45.68% | 81 | 1.5 | 603 | 9,241 | 47.5% | 43.9% | |
| 48.65% | 74 | 1.5 | 452 | 9,109 | 53.1% | 45.2% | |
| 54.79% | 73 | 1.4 | 512 | 9,405 | 54.8% | 54.8% | |
| 54.17% | 72 | 1.5 | 427 | 8,820 | 72.7% | 38.5% | |
| 45.07% | 71 | 1.8 | 501 | 9,855 | 36.0% | 50.0% | |
| 48.48% | 66 | 1.6 | 516 | 9,329 | 51.7% | 46.0% | |
| 57.58% | 66 | 1.6 | 509 | 9,637 | 60.0% | 55.6% | |
| 50.77% | 65 | 1.3 | 503 | 8,811 | 51.7% | 50.0% | |
| 39.68% | 63 | 1.6 | 472 | 8,822 | 31.3% | 48.4% | |
| 54.24% | 59 | 6.3 | 791 | 12,153 | 50.0% | 57.1% | |
| 49.15% | 59 | 1.5 | 470 | 9,152 | 54.2% | 45.7% | |
| 55.17% | 58 | 1.6 | 549 | 10,008 | 40.0% | 63.2% | |
| 43.86% | 57 | 1.4 | 476 | 9,362 | 42.3% | 45.2% | |
| 44.90% | 49 | 6.0 | 749 | 12,042 | 36.8% | 50.0% | |
| 55.32% | 47 | 1.4 | 474 | 9,412 | 57.9% | 53.6% | |
| 54.35% | 46 | 4.9 | 714 | 12,295 | 52.6% | 55.6% | |
| 41.86% | 43 | 1.6 | 598 | 9,778 | 50.0% | 34.8% | |
| 51.28% | 39 | 5.2 | 779 | 11,449 | 58.8% | 45.5% | |
| 44.44% | 36 | 1.6 | 523 | 8,446 | 28.6% | 54.5% | |
| 63.64% | 33 | 6.2 | 761 | 12,376 | 71.4% | 57.9% | |
| 43.33% | 30 | 6.3 | 863 | 13,132 | 58.3% | 33.3% | |
| 51.72% | 29 | 1.4 | 570 | 9,540 | 50.0% | 52.9% | |
| 46.43% | 28 | 1.3 | 421 | 8,905 | 40.0% | 50.0% | |
| 60.71% | 28 | 6.3 | 726 | 11,359 | 45.5% | 70.6% | |
| 52.00% | 25 | 1.6 | 556 | 11,325 | 60.0% | 50.0% | |
| 72.00% | 25 | 1.6 | 516 | 10,901 | 88.9% | 62.5% | |
| 48.00% | 25 | 3.5 | 574 | 9,334 | 57.1% | 36.4% | |
| 52.17% | 23 | 2.0 | 496 | 9,639 | 75.0% | 27.3% | |
| 54.55% | 22 | 3.1 | 603 | 10,225 | 58.3% | 50.0% | |
| 61.90% | 21 | 2.4 | 537 | 9,748 | 75.0% | 53.9% | |
| 57.14% | 21 | 6.6 | 780 | 12,631 | 60.0% | 54.5% | |
| 42.86% | 21 | 2.5 | 544 | 10,827 | 33.3% | 46.7% | |
| 45.00% | 20 | 5.7 | 692 | 11,010 | 55.6% | 36.4% | |
| 50.00% | 18 | 1.6 | 499 | 10,142 | 75.0% | 42.9% | |
| 38.89% | 18 | 1.7 | 492 | 8,721 | 66.7% | 11.1% | |
| 64.71% | 17 | 1.1 | 404 | 9,195 | 42.9% | 80.0% | |
| 70.59% | 17 | 1.4 | 461 | 8,798 | 100.0% | 37.5% | |
| 41.18% | 17 | 1.4 | 445 | 8,227 | 37.5% | 44.4% | |
| 50.00% | 16 | 6.3 | 844 | 13,802 | 60.0% | 45.5% | |
| 60.00% | 15 | 1.4 | 550 | 9,287 | 50.0% | 71.4% | |
| 50.00% | 14 | 7.2 | 775 | 12,121 | 71.4% | 28.6% | |
| 53.85% | 13 | 1.9 | 572 | 11,532 | 60.0% | 50.0% | |
| 38.46% | 13 | 1.2 | 533 | 9,171 | 40.0% | 37.5% | |
| 75.00% | 12 | 1.6 | 510 | 10,367 | 50.0% | 87.5% | |
| 33.33% | 12 | 3.4 | 679 | 10,892 | 33.3% | 33.3% | |
| 54.55% | 11 | 6.0 | 811 | 11,565 | 83.3% | 20.0% | |
| 18.18% | 11 | 5.3 | 816 | 9,857 | 40.0% | 0.0% | |
| 54.55% | 11 | 6.4 | 786 | 13,381 | 50.0% | 55.6% | |
| 36.36% | 11 | 6.6 | 802 | 11,967 | 25.0% | 42.9% | |
| 45.45% | 11 | 5.1 | 703 | 11,473 | 50.0% | 42.9% | |
| 54.55% | 11 | 4.2 | 814 | 13,500 | 75.0% | 42.9% | |
| 63.64% | 11 | 4.4 | 617 | 10,501 | 66.7% | 60.0% | |
| 27.27% | 11 | 6.3 | 938 | 11,006 | 25.0% | 28.6% | |
| 60.00% | 10 | 6.2 | 699 | 12,631 | 75.0% | 50.0% | |
| 70.00% | 10 | 2.4 | 527 | 9,566 | 75.0% | 66.7% | |
| 40.00% | 10 | 6.1 | 766 | 14,248 | 50.0% | 37.5% | |
| 55.56% | 9 | 3.7 | 696 | 12,574 | 50.0% | 57.1% | |
| 55.56% | 9 | 1.8 | 350 | 8,488 | 100.0% | 0.0% | |
| 44.44% | 9 | 2.1 | 523 | 10,081 | 66.7% | 33.3% | |
| 50.00% | 8 | 6.2 | 777 | 13,062 | 50.0% | 50.0% | |
| 14.29% | 7 | 3.8 | 551 | 6,773 | 20.0% | 0.0% | |
| 71.43% | 7 | 1.9 | 577 | 9,584 | 50.0% | 100.0% | |
| 28.57% | 7 | 6.3 | 674 | 11,321 | 50.0% | 0.0% | |
| 57.14% | 7 | 1.1 | 423 | 10,464 | 66.7% | 50.0% | |
| 16.67% | 6 | 7.3 | 814 | 12,772 | 0.0% | 25.0% | |
| 16.67% | 6 | 2.5 | 617 | 10,476 | 0.0% | 33.3% | |
| 50.00% | 6 | 3.6 | 654 | 11,814 | 0.0% | 50.0% | |
| 66.67% | 6 | 1.4 | 553 | 9,086 | 66.7% | 66.7% | |
| 50.00% | 6 | 3.1 | 523 | 11,940 | 100.0% | 40.0% | |
| 66.67% | 6 | 1.6 | 557 | 10,125 | 50.0% | 75.0% | |
| 33.33% | 6 | 3.1 | 521 | 9,472 | 0.0% | 50.0% | |
| 40.00% | 5 | 6.0 | 946 | 12,787 | 0.0% | 66.7% | |
| 80.00% | 5 | 7.3 | 740 | 10,679 | 100.0% | 75.0% | |
| 100.00% | 5 | 1.8 | 480 | 10,875 | 100.0% | 100.0% | |
| 80.00% | 5 | 3.2 | 722 | 9,411 | 66.7% | 100.0% | |
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.
Matchupy Seraphine - Czesto zadawane pytania
Jakie sa najlepsze matchupy Seraphine w League of Legends?
Najlepsze matchupy Seraphine w patchu 26.13 to Lux, Senna, and Thresh. Seraphine 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 Seraphine?
Najgorsze matchupy Seraphine to Vex, Yunara, and Twisted Fate. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Seraphine i moga wykorzystac slabosci Seraphine na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Seraphine?
Mozesz sprawdzic dane matchupow Seraphine 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 Seraphine.
Kogo kontruje Seraphine w League of Legends?
Seraphine kontruje Lux, Senna, and Thresh w patchu 26.13. To sa najbardziej korzystne matchupy Seraphine, gdzie Seraphine ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Seraphine w szczegolach.
Kto kontruje Seraphine na linii?
Vex, Yunara, and Twisted Fate kontruja Seraphine na linii w patchu 26.13. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Seraphine. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.