TrundleMatchupy
Dane matchupów Trundle dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Trundle. Dowiedz się kogo Trundle pokonuje i komu przegrywa na linii.
Trundle Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Trundle 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 Trundle dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Trundle, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Trundle, 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 |
|---|---|---|---|---|---|---|---|
| 46.88% | 128 | 7.0 | 778 | 12,239 | 43.6% | 49.3% | |
| 52.85% | 123 | 5.8 | 785 | 12,482 | 59.3% | 47.8% | |
| 58.24% | 91 | 6.2 | 1,057 | 12,513 | 66.7% | 51.9% | |
| 54.55% | 88 | 5.0 | 627 | 11,749 | 47.6% | 60.9% | |
| 56.98% | 86 | 6.9 | 800 | 11,812 | 58.7% | 55.0% | |
| 41.46% | 82 | 6.1 | 811 | 12,115 | 48.4% | 37.3% | |
| 56.96% | 79 | 6.1 | 742 | 12,513 | 56.8% | 57.1% | |
| 49.35% | 77 | 5.9 | 602 | 11,588 | 62.2% | 37.5% | |
| 54.29% | 70 | 6.1 | 606 | 12,575 | 59.3% | 51.2% | |
| 48.57% | 70 | 1.8 | 582 | 10,987 | 50.0% | 46.4% | |
| 38.24% | 68 | 2.0 | 621 | 12,296 | 41.7% | 36.4% | |
| 46.27% | 67 | 6.7 | 819 | 12,172 | 42.4% | 50.0% | |
| 58.46% | 65 | 5.4 | 684 | 11,777 | 64.5% | 52.9% | |
| 38.46% | 65 | 1.9 | 626 | 11,454 | 36.8% | 40.7% | |
| 44.62% | 65 | 6.9 | 855 | 12,633 | 54.8% | 35.3% | |
| 48.44% | 64 | 1.4 | 638 | 12,688 | 56.0% | 43.6% | |
| 57.14% | 63 | 6.0 | 693 | 11,201 | 45.7% | 71.4% | |
| 41.38% | 58 | 6.6 | 741 | 13,168 | 44.0% | 39.4% | |
| 50.00% | 56 | 1.7 | 599 | 12,067 | 46.4% | 53.6% | |
| 55.36% | 56 | 6.7 | 867 | 11,868 | 59.3% | 51.7% | |
| 55.56% | 54 | 6.7 | 751 | 12,835 | 56.0% | 55.2% | |
| 41.51% | 53 | 5.9 | 705 | 12,006 | 54.2% | 31.0% | |
| 43.40% | 53 | 6.5 | 753 | 12,687 | 42.9% | 43.8% | |
| 52.00% | 50 | 3.4 | 747 | 11,653 | 56.0% | 48.0% | |
| 59.18% | 49 | 5.8 | 618 | 11,717 | 68.2% | 51.9% | |
| 53.06% | 49 | 2.0 | 669 | 13,143 | 81.3% | 39.4% | |
| 50.00% | 48 | 6.6 | 670 | 12,458 | 61.1% | 43.3% | |
| 39.13% | 46 | 1.6 | 593 | 13,267 | 20.0% | 48.4% | |
| 55.56% | 45 | 6.3 | 790 | 12,471 | 54.5% | 56.5% | |
| 46.67% | 45 | 5.5 | 820 | 12,187 | 47.1% | 46.4% | |
| 56.82% | 44 | 6.9 | 879 | 12,606 | 47.1% | 63.0% | |
| 47.73% | 44 | 6.8 | 716 | 13,905 | 50.0% | 46.7% | |
| 55.81% | 43 | 7.0 | 571 | 11,139 | 52.2% | 60.0% | |
| 50.00% | 40 | 7.3 | 848 | 13,887 | 73.3% | 36.0% | |
| 46.15% | 39 | 6.3 | 783 | 13,037 | 60.0% | 37.5% | |
| 47.37% | 38 | 6.0 | 673 | 11,462 | 40.0% | 52.2% | |
| 55.88% | 34 | 1.3 | 536 | 12,527 | 54.5% | 56.5% | |
| 60.61% | 33 | 6.5 | 634 | 11,709 | 50.0% | 68.4% | |
| 56.25% | 32 | 6.1 | 727 | 13,542 | 33.3% | 65.2% | |
| 53.13% | 32 | 1.3 | 552 | 10,861 | 64.7% | 40.0% | |
| 41.94% | 31 | 6.5 | 662 | 11,250 | 50.0% | 35.3% | |
| 53.33% | 30 | 6.1 | 845 | 11,723 | 53.9% | 52.9% | |
| 46.67% | 30 | 2.0 | 564 | 11,960 | 60.0% | 33.3% | |
| 51.72% | 29 | 2.7 | 669 | 13,068 | 50.0% | 52.9% | |
| 41.38% | 29 | 1.2 | 544 | 11,318 | 35.7% | 46.7% | |
| 35.71% | 28 | 7.6 | 670 | 12,058 | 35.7% | 35.7% | |
| 77.78% | 27 | 5.0 | 616 | 11,155 | 82.3% | 70.0% | |
| 59.26% | 27 | 7.0 | 890 | 13,445 | 73.3% | 41.7% | |
| 46.15% | 26 | 1.4 | 503 | 12,021 | 60.0% | 37.5% | |
| 61.54% | 26 | 2.8 | 613 | 12,444 | 75.0% | 50.0% | |
| 36.00% | 25 | 6.4 | 592 | 12,482 | 41.7% | 30.8% | |
| 56.00% | 25 | 2.1 | 649 | 12,254 | 54.5% | 57.1% | |
| 32.00% | 25 | 6.7 | 625 | 12,764 | 27.3% | 35.7% | |
| 45.83% | 24 | 1.7 | 520 | 12,896 | 54.5% | 38.5% | |
| 16.67% | 24 | 5.1 | 605 | 11,517 | 30.0% | 7.1% | |
| 60.87% | 23 | 1.8 | 686 | 12,156 | 72.7% | 50.0% | |
| 30.43% | 23 | 1.2 | 685 | 11,669 | 12.5% | 40.0% | |
| 59.09% | 22 | 1.0 | 653 | 11,674 | 45.5% | 72.7% | |
| 63.64% | 22 | 1.9 | 641 | 11,782 | 62.5% | 64.3% | |
| 66.67% | 21 | 3.2 | 594 | 12,360 | 71.4% | 64.3% | |
| 66.67% | 21 | 6.2 | 665 | 11,810 | 60.0% | 72.7% | |
| 45.00% | 20 | 6.5 | 642 | 11,213 | 36.4% | 55.6% | |
| 50.00% | 20 | 6.0 | 665 | 12,425 | 75.0% | 33.3% | |
| 57.89% | 19 | 2.6 | 632 | 13,421 | 50.0% | 61.5% | |
| 57.89% | 19 | 2.0 | 558 | 11,220 | 42.9% | 66.7% | |
| 55.56% | 18 | 6.3 | 666 | 11,927 | 54.5% | 57.1% | |
| 38.89% | 18 | 7.1 | 922 | 14,000 | 57.1% | 27.3% | |
| 55.56% | 18 | 6.4 | 585 | 10,599 | 42.9% | 63.6% | |
| 52.94% | 17 | 6.5 | 573 | 12,399 | 55.6% | 50.0% | |
| 52.94% | 17 | 1.7 | 530 | 12,442 | 71.4% | 40.0% | |
| 50.00% | 16 | 1.2 | 622 | 12,072 | 50.0% | 50.0% | |
| 46.67% | 15 | 1.9 | 812 | 12,220 | 14.3% | 75.0% | |
| 46.67% | 15 | 1.4 | 692 | 11,989 | 37.5% | 57.1% | |
| 57.14% | 14 | 1.5 | 715 | 14,175 | 50.0% | 60.0% | |
| 28.57% | 14 | 1.3 | 555 | 12,720 | 20.0% | 33.3% | |
| 53.85% | 13 | 7.1 | 796 | 11,181 | 50.0% | 57.1% | |
| 69.23% | 13 | 6.3 | 576 | 12,394 | 71.4% | 66.7% | |
| 61.54% | 13 | 4.1 | 716 | 10,836 | 100.0% | 44.4% | |
| 61.54% | 13 | 6.1 | 693 | 11,452 | 71.4% | 50.0% | |
| 46.15% | 13 | 6.5 | 549 | 10,124 | 50.0% | 33.3% | |
| 50.00% | 12 | 1.6 | 486 | 11,073 | 20.0% | 71.4% | |
| 45.45% | 11 | 1.9 | 643 | 12,428 | 50.0% | 42.9% | |
| 54.55% | 11 | 4.9 | 546 | 8,905 | 50.0% | 60.0% | |
| 33.33% | 9 | 2.4 | 443 | 10,298 | 16.7% | 66.7% | |
| 55.56% | 9 | 6.3 | 562 | 11,242 | 50.0% | 60.0% | |
| 44.44% | 9 | 4.3 | 703 | 15,639 | 0.0% | 57.1% | |
| 22.22% | 9 | 3.0 | 664 | 11,138 | 0.0% | 40.0% | |
| 55.56% | 9 | 0.7 | 487 | 11,444 | 50.0% | 60.0% | |
| 33.33% | 9 | 3.0 | 405 | 9,314 | 40.0% | 25.0% | |
| 25.00% | 8 | 3.1 | 622 | 10,613 | 25.0% | 25.0% | |
| 50.00% | 8 | 2.6 | 606 | 13,954 | 50.0% | 50.0% | |
| 50.00% | 8 | 1.9 | 525 | 10,855 | 50.0% | 50.0% | |
| 50.00% | 8 | 1.1 | 489 | 8,201 | 33.3% | 100.0% | |
| 37.50% | 8 | 4.4 | 443 | 11,060 | 40.0% | 33.3% | |
| 25.00% | 8 | 5.0 | 625 | 10,696 | 50.0% | 16.7% | |
| 42.86% | 7 | 4.0 | 709 | 12,555 | 50.0% | 40.0% | |
| 42.86% | 7 | 6.0 | 725 | 13,734 | 50.0% | 40.0% | |
| 66.67% | 6 | 3.3 | 462 | 11,166 | 33.3% | 100.0% | |
| 33.33% | 6 | 6.9 | 437 | 11,062 | 0.0% | 66.7% | |
| 16.67% | 6 | 2.3 | 372 | 10,202 | 0.0% | 25.0% | |
| 100.00% | 6 | 5.8 | 846 | 16,035 | 100.0% | 100.0% | |
| 33.33% | 6 | 1.1 | 485 | 10,997 | 33.3% | 33.3% | |
| 50.00% | 6 | 1.7 | 352 | 11,273 | 50.0% | 50.0% | |
| 50.00% | 6 | 6.6 | 638 | 13,408 | 50.0% | 50.0% | |
| 66.67% | 6 | 1.7 | 413 | 9,922 | 33.3% | 100.0% | |
| 40.00% | 5 | 1.9 | 399 | 10,871 | 50.0% | 33.3% | |
| 40.00% | 5 | 5.4 | 560 | 12,156 | 0.0% | 50.0% | |
| 80.00% | 5 | 4.5 | 583 | 12,744 | 100.0% | 66.7% | |
| 40.00% | 5 | 4.1 | 761 | 10,451 | 33.3% | 50.0% | |
| 60.00% | 5 | 8.2 | 950 | 14,931 | 100.0% | 0.0% | |
| 20.00% | 5 | 6.1 | 712 | 10,326 | 50.0% | 0.0% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Trundle - Czesto zadawane pytania
Jakie sa najlepsze matchupy Trundle w League of Legends?
Najlepsze matchupy Trundle w patchu 26.10 to Garen, Mordekaiser, and Dr Mundo. Trundle 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 Trundle?
Najgorsze matchupy Trundle to Pantheon, Seraphine, and Aurora. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Trundle i moga wykorzystac slabosci Trundle na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Trundle?
Mozesz sprawdzic dane matchupow Trundle 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 Trundle.
Kogo kontruje Trundle w League of Legends?
Trundle kontruje Garen, Mordekaiser, and Dr Mundo w patchu 26.10. To sa najbardziej korzystne matchupy Trundle, gdzie Trundle ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Trundle w szczegolach.
Kto kontruje Trundle na linii?
Pantheon, Seraphine, and Aurora kontruja Trundle na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Trundle. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.