TrundleMatchupy
Dane matchupów Trundle dla League of Legends patch 26.3. 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 26.3 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 |
|---|---|---|---|---|---|---|---|
| 51.11% | 135 | 2.8 | 653 | 12,567 | 55.4% | 47.1% | |
| 41.79% | 134 | 1.3 | 574 | 12,218 | 35.5% | 47.2% | |
| 45.24% | 126 | 4.5 | 999 | 12,427 | 42.4% | 48.3% | |
| 57.41% | 108 | 1.4 | 607 | 12,046 | 63.3% | 52.5% | |
| 55.56% | 99 | 1.9 | 688 | 12,658 | 64.4% | 48.1% | |
| 47.83% | 92 | 4.4 | 763 | 12,386 | 51.2% | 45.1% | |
| 51.65% | 91 | 1.3 | 656 | 12,417 | 55.0% | 49.0% | |
| 44.32% | 88 | 4.7 | 591 | 11,871 | 42.9% | 45.6% | |
| 47.13% | 87 | 3.4 | 613 | 11,413 | 61.0% | 34.8% | |
| 41.38% | 87 | 5.3 | 750 | 12,620 | 51.6% | 35.7% | |
| 50.63% | 79 | 1.1 | 626 | 12,002 | 53.7% | 47.4% | |
| 53.95% | 76 | 6.3 | 779 | 12,882 | 62.5% | 47.7% | |
| 50.75% | 67 | 6.3 | 800 | 11,526 | 50.0% | 51.5% | |
| 60.00% | 65 | 4.1 | 712 | 12,437 | 62.9% | 56.7% | |
| 46.03% | 63 | 1.6 | 640 | 12,549 | 36.7% | 54.5% | |
| 48.39% | 62 | 6.5 | 770 | 12,214 | 41.7% | 57.7% | |
| 46.55% | 58 | 6.5 | 830 | 12,629 | 38.7% | 55.6% | |
| 60.34% | 58 | 6.5 | 778 | 12,206 | 64.5% | 55.6% | |
| 48.21% | 56 | 1.6 | 641 | 12,668 | 46.1% | 50.0% | |
| 50.00% | 52 | 1.3 | 669 | 11,923 | 42.9% | 58.3% | |
| 50.98% | 51 | 5.1 | 868 | 13,298 | 50.0% | 51.7% | |
| 38.00% | 50 | 1.1 | 572 | 11,426 | 44.0% | 32.0% | |
| 50.00% | 50 | 1.1 | 649 | 12,487 | 45.8% | 53.9% | |
| 54.17% | 48 | 1.5 | 622 | 12,517 | 50.0% | 57.7% | |
| 36.17% | 47 | 1.6 | 621 | 13,116 | 40.0% | 34.4% | |
| 37.78% | 45 | 6.5 | 690 | 11,730 | 43.5% | 31.8% | |
| 50.00% | 44 | 5.2 | 715 | 10,144 | 50.0% | 50.0% | |
| 56.82% | 44 | 5.2 | 895 | 13,309 | 61.1% | 53.9% | |
| 32.56% | 43 | 4.7 | 519 | 11,215 | 33.3% | 31.8% | |
| 53.66% | 41 | 6.7 | 682 | 13,806 | 56.3% | 52.0% | |
| 62.50% | 40 | 6.6 | 866 | 12,728 | 57.9% | 66.7% | |
| 78.95% | 38 | 1.3 | 660 | 12,885 | 84.6% | 76.0% | |
| 59.46% | 37 | 7.1 | 671 | 11,378 | 54.5% | 66.7% | |
| 51.35% | 37 | 1.1 | 681 | 13,437 | 45.5% | 53.9% | |
| 57.14% | 35 | 2.5 | 702 | 12,355 | 50.0% | 64.7% | |
| 48.57% | 35 | 1.9 | 687 | 13,137 | 30.8% | 59.1% | |
| 45.71% | 35 | 3.8 | 567 | 12,527 | 41.7% | 47.8% | |
| 37.14% | 35 | 7.2 | 772 | 14,067 | 53.9% | 27.3% | |
| 52.94% | 34 | 6.8 | 786 | 14,086 | 57.9% | 46.7% | |
| 38.24% | 34 | 6.6 | 846 | 12,382 | 42.9% | 35.0% | |
| 54.55% | 33 | 1.1 | 621 | 12,046 | 66.7% | 44.4% | |
| 50.00% | 32 | 5.8 | 740 | 11,541 | 50.0% | 50.0% | |
| 65.63% | 32 | 5.2 | 689 | 11,602 | 60.0% | 75.0% | |
| 53.33% | 30 | 1.9 | 676 | 11,416 | 50.0% | 57.1% | |
| 63.33% | 30 | 1.0 | 701 | 12,523 | 60.0% | 66.7% | |
| 56.67% | 30 | 1.5 | 691 | 13,826 | 44.4% | 61.9% | |
| 55.17% | 29 | 6.6 | 681 | 13,084 | 69.2% | 43.8% | |
| 55.17% | 29 | 4.7 | 739 | 13,286 | 58.3% | 52.9% | |
| 53.57% | 28 | 1.1 | 522 | 11,153 | 64.3% | 42.9% | |
| 39.29% | 28 | 6.8 | 830 | 13,333 | 44.4% | 36.8% | |
| 57.14% | 28 | 1.1 | 650 | 12,902 | 66.7% | 52.6% | |
| 71.43% | 28 | 6.5 | 700 | 13,568 | 75.0% | 66.7% | |
| 51.85% | 27 | 1.4 | 629 | 12,550 | 70.0% | 41.2% | |
| 40.74% | 27 | 1.2 | 510 | 11,118 | 46.7% | 33.3% | |
| 53.85% | 26 | 7.1 | 720 | 12,936 | 53.9% | 53.9% | |
| 50.00% | 26 | 1.2 | 552 | 11,515 | 46.1% | 53.9% | |
| 54.17% | 24 | 6.3 | 747 | 13,022 | 60.0% | 50.0% | |
| 37.50% | 24 | 6.1 | 804 | 13,677 | 70.0% | 14.3% | |
| 45.83% | 24 | 3.0 | 582 | 10,465 | 43.8% | 50.0% | |
| 52.38% | 21 | 6.6 | 722 | 12,728 | 58.3% | 44.4% | |
| 75.00% | 20 | 6.7 | 830 | 12,509 | 72.7% | 77.8% | |
| 55.00% | 20 | 2.6 | 617 | 12,062 | 50.0% | 66.7% | |
| 57.89% | 19 | 6.7 | 638 | 13,033 | 70.0% | 44.4% | |
| 50.00% | 18 | 6.0 | 671 | 12,592 | 50.0% | 50.0% | |
| 72.22% | 18 | 1.7 | 703 | 11,771 | 71.4% | 72.7% | |
| 50.00% | 18 | 1.7 | 538 | 11,953 | 33.3% | 53.3% | |
| 64.71% | 17 | 5.5 | 704 | 11,882 | 42.9% | 80.0% | |
| 52.94% | 17 | 1.1 | 606 | 11,291 | 58.3% | 40.0% | |
| 56.25% | 16 | 1.7 | 459 | 11,464 | 57.1% | 55.6% | |
| 56.25% | 16 | 2.1 | 505 | 9,847 | 55.6% | 57.1% | |
| 18.75% | 16 | 7.0 | 986 | 12,543 | 20.0% | 18.2% | |
| 37.50% | 16 | 2.0 | 674 | 12,322 | 16.7% | 50.0% | |
| 50.00% | 16 | 1.6 | 380 | 9,599 | 57.1% | 44.4% | |
| 66.67% | 15 | 4.0 | 720 | 14,987 | 33.3% | 75.0% | |
| 46.67% | 15 | 2.6 | 379 | 11,154 | 20.0% | 60.0% | |
| 35.71% | 14 | 2.1 | 619 | 12,786 | 55.6% | 0.0% | |
| 50.00% | 14 | 5.7 | 668 | 14,027 | 75.0% | 40.0% | |
| 71.43% | 14 | 1.7 | 626 | 12,374 | 71.4% | 71.4% | |
| 46.15% | 13 | 6.2 | 571 | 12,621 | 40.0% | 50.0% | |
| 30.77% | 13 | 1.6 | 413 | 9,129 | 22.2% | 50.0% | |
| 41.67% | 12 | 1.7 | 498 | 10,641 | 50.0% | 40.0% | |
| 50.00% | 12 | 1.8 | 364 | 9,290 | 57.1% | 40.0% | |
| 45.45% | 11 | 1.4 | 496 | 10,619 | 60.0% | 33.3% | |
| 63.64% | 11 | 5.2 | 512 | 12,328 | 85.7% | 25.0% | |
| 36.36% | 11 | 1.7 | 511 | 11,170 | 50.0% | 28.6% | |
| 45.45% | 11 | 1.5 | 525 | 12,195 | 66.7% | 37.5% | |
| 70.00% | 10 | 7.0 | 701 | 12,648 | 83.3% | 50.0% | |
| 80.00% | 10 | 6.2 | 711 | 9,526 | 75.0% | 100.0% | |
| 50.00% | 10 | 5.7 | 577 | 13,001 | 66.7% | 42.9% | |
| 60.00% | 10 | 6.7 | 907 | 13,762 | 50.0% | 66.7% | |
| 44.44% | 9 | 2.6 | 471 | 8,894 | 57.1% | 0.0% | |
| 55.56% | 9 | 7.3 | 751 | 12,016 | 75.0% | 40.0% | |
| 66.67% | 9 | 3.9 | 752 | 12,944 | 50.0% | 80.0% | |
| 55.56% | 9 | 1.4 | 550 | 13,151 | 33.3% | 66.7% | |
| 11.11% | 9 | 3.6 | 370 | 8,194 | 16.7% | 0.0% | |
| 62.50% | 8 | 4.9 | 648 | 14,404 | 100.0% | 50.0% | |
| 75.00% | 8 | 6.3 | 527 | 12,421 | 75.0% | 75.0% | |
| 50.00% | 8 | 1.6 | 645 | 14,792 | 100.0% | 42.9% | |
| 62.50% | 8 | 1.3 | 405 | 7,702 | 80.0% | 33.3% | |
| 75.00% | 8 | 1.6 | 429 | 12,064 | 60.0% | 100.0% | |
| 57.14% | 7 | 1.5 | 618 | 10,359 | 66.7% | 50.0% | |
| 28.57% | 7 | 1.5 | 605 | 12,170 | 25.0% | 33.3% | |
| 85.71% | 7 | 4.1 | 654 | 14,320 | 100.0% | 83.3% | |
| 50.00% | 6 | 2.3 | 874 | 14,289 | 50.0% | 50.0% | |
| 33.33% | 6 | 1.0 | 291 | 7,738 | 0.0% | 50.0% | |
| 16.67% | 6 | 1.0 | 306 | 8,061 | 0.0% | 33.3% | |
| 66.67% | 6 | 1.5 | 660 | 11,748 | 75.0% | 50.0% | |
| 33.33% | 6 | 5.5 | 480 | 12,471 | 33.3% | 33.3% | |
| 60.00% | 5 | 1.6 | 397 | 10,425 | 0.0% | 75.0% | |
| 60.00% | 5 | 6.0 | 840 | 13,654 | 50.0% | 66.7% | |
| 60.00% | 5 | 2.2 | 366 | 9,478 | 75.0% | 0.0% | |
| 40.00% | 5 | 2.6 | 391 | 10,266 | 66.7% | 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 26.3 to Volibear, Viego, 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 Swain, Karma, and Kled. 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 Volibear, Viego, and Dr Mundo w patchu 26.3. 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?
Swain, Karma, and Kled kontruja Trundle na linii w patchu 26.3. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Trundle. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.