Nunu i WillumpMatchupy
Dane matchupów Nunu i Willump dla League of Legends patch 26.4. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Nunu i Willump. Dowiedz się kogo Nunu i Willump pokonuje i komu przegrywa na linii.
Nunu i Willump Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Nunu i Willump 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 Nunu i Willump dla patcha 26.4 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Nunu i Willump, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Nunu i Willump, 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 |
|---|---|---|---|---|---|---|---|
| 51.82% | 248 | 0.9 | 563 | 11,931 | 55.0% | 49.3% | |
| 54.07% | 173 | 0.9 | 559 | 11,788 | 55.6% | 52.8% | |
| 50.63% | 159 | 0.9 | 554 | 12,195 | 54.2% | 47.7% | |
| 49.06% | 159 | 0.9 | 538 | 11,673 | 49.4% | 48.8% | |
| 52.52% | 139 | 0.9 | 550 | 11,804 | 52.4% | 52.6% | |
| 45.80% | 131 | 0.9 | 562 | 11,620 | 45.6% | 46.0% | |
| 45.31% | 129 | 0.9 | 517 | 11,399 | 45.5% | 45.2% | |
| 64.91% | 114 | 0.9 | 676 | 11,687 | 71.4% | 58.6% | |
| 50.89% | 112 | 0.8 | 590 | 11,353 | 53.5% | 48.1% | |
| 49.50% | 102 | 0.8 | 546 | 11,376 | 66.7% | 32.0% | |
| 58.33% | 96 | 0.9 | 574 | 11,560 | 65.8% | 52.7% | |
| 53.13% | 96 | 0.9 | 573 | 11,879 | 47.4% | 56.9% | |
| 56.25% | 96 | 0.9 | 534 | 11,191 | 59.6% | 52.3% | |
| 51.11% | 90 | 1.0 | 543 | 11,412 | 47.4% | 53.9% | |
| 49.43% | 87 | 1.0 | 579 | 11,764 | 56.5% | 41.5% | |
| 56.63% | 84 | 0.8 | 541 | 11,237 | 65.9% | 46.1% | |
| 43.75% | 82 | 0.9 | 585 | 11,059 | 54.8% | 31.6% | |
| 53.85% | 78 | 1.0 | 606 | 11,999 | 45.7% | 60.5% | |
| 50.00% | 76 | 0.9 | 524 | 11,312 | 41.7% | 57.5% | |
| 53.95% | 76 | 1.0 | 544 | 12,607 | 55.2% | 53.2% | |
| 56.76% | 76 | 0.9 | 572 | 11,142 | 62.5% | 50.0% | |
| 54.29% | 70 | 1.0 | 539 | 11,521 | 59.0% | 48.4% | |
| 45.71% | 70 | 0.9 | 507 | 11,013 | 48.3% | 43.9% | |
| 50.00% | 63 | 1.0 | 579 | 11,443 | 51.9% | 48.6% | |
| 54.10% | 62 | 1.0 | 565 | 11,833 | 64.5% | 43.3% | |
| 58.06% | 62 | 0.9 | 560 | 11,752 | 58.1% | 58.1% | |
| 45.61% | 57 | 0.9 | 526 | 11,211 | 43.3% | 48.1% | |
| 55.36% | 56 | 1.1 | 549 | 11,210 | 55.9% | 54.5% | |
| 51.92% | 53 | 1.0 | 597 | 11,913 | 50.0% | 53.9% | |
| 46.00% | 50 | 1.1 | 560 | 12,024 | 60.0% | 36.7% | |
| 63.27% | 49 | 0.8 | 586 | 11,624 | 53.9% | 73.9% | |
| 53.06% | 49 | 0.9 | 504 | 10,630 | 55.2% | 50.0% | |
| 59.57% | 48 | 1.1 | 577 | 11,454 | 52.2% | 66.7% | |
| 57.45% | 47 | 0.9 | 557 | 11,904 | 52.4% | 61.5% | |
| 37.78% | 45 | 0.8 | 559 | 11,254 | 36.8% | 38.5% | |
| 28.89% | 45 | 1.0 | 597 | 11,755 | 30.0% | 28.0% | |
| 51.16% | 43 | 0.8 | 495 | 11,143 | 47.6% | 54.5% | |
| 61.90% | 42 | 0.8 | 506 | 10,559 | 63.6% | 60.0% | |
| 53.66% | 41 | 1.0 | 639 | 11,982 | 76.5% | 37.5% | |
| 56.10% | 41 | 1.2 | 644 | 11,202 | 53.9% | 60.0% | |
| 51.28% | 39 | 0.8 | 556 | 11,701 | 45.5% | 58.8% | |
| 51.35% | 37 | 0.8 | 532 | 11,318 | 44.4% | 57.9% | |
| 37.84% | 37 | 0.9 | 610 | 11,570 | 47.6% | 25.0% | |
| 63.64% | 33 | 1.1 | 704 | 12,799 | 73.3% | 55.6% | |
| 50.00% | 32 | 1.1 | 629 | 11,630 | 58.8% | 40.0% | |
| 53.33% | 30 | 0.8 | 528 | 11,374 | 43.8% | 64.3% | |
| 53.33% | 30 | 0.9 | 566 | 12,587 | 75.0% | 38.9% | |
| 48.28% | 29 | 0.9 | 463 | 10,138 | 52.9% | 41.7% | |
| 44.44% | 27 | 0.9 | 549 | 10,853 | 56.3% | 27.3% | |
| 56.00% | 25 | 1.0 | 602 | 10,965 | 56.3% | 55.6% | |
| 41.67% | 24 | 0.9 | 579 | 10,761 | 27.3% | 53.9% | |
| 36.36% | 23 | 1.1 | 551 | 11,743 | 37.5% | 35.7% | |
| 52.17% | 23 | 2.2 | 610 | 11,107 | 61.5% | 40.0% | |
| 65.22% | 23 | 0.8 | 618 | 11,265 | 66.7% | 63.6% | |
| 40.91% | 22 | 1.0 | 568 | 11,452 | 33.3% | 50.0% | |
| 71.43% | 21 | 1.2 | 566 | 11,905 | 64.3% | 85.7% | |
| 57.14% | 21 | 0.9 | 634 | 12,085 | 70.0% | 45.5% | |
| 55.00% | 20 | 0.9 | 582 | 12,021 | 54.5% | 55.6% | |
| 36.84% | 19 | 1.1 | 568 | 11,922 | 50.0% | 22.2% | |
| 35.29% | 17 | 1.2 | 654 | 10,133 | 42.9% | 30.0% | |
| 42.86% | 14 | 4.6 | 713 | 12,269 | 50.0% | 40.0% | |
| 53.85% | 13 | 0.9 | 624 | 13,189 | 50.0% | 55.6% | |
| 36.36% | 11 | 0.8 | 745 | 12,394 | 50.0% | 28.6% | |
| 72.73% | 11 | 1.4 | 672 | 12,988 | 50.0% | 85.7% | |
| 60.00% | 10 | 1.4 | 577 | 12,705 | 66.7% | 57.1% | |
| 20.00% | 10 | 1.3 | 530 | 11,846 | 0.0% | 28.6% | |
| 44.44% | 9 | 1.4 | 637 | 8,961 | 40.0% | 50.0% | |
| 85.71% | 7 | 1.2 | 489 | 10,781 | 100.0% | 66.7% | |
| 57.14% | 7 | 3.9 | 974 | 14,911 | 0.0% | 66.7% | |
| 42.86% | 7 | 0.8 | 540 | 12,530 | 50.0% | 40.0% | |
| 28.57% | 7 | 1.4 | 605 | 12,212 | 50.0% | 20.0% | |
| 42.86% | 7 | 3.4 | 627 | 11,465 | 33.3% | 50.0% | |
| 71.43% | 7 | 5.3 | 806 | 10,657 | 75.0% | 66.7% | |
| 42.86% | 7 | 0.9 | 558 | 12,106 | 50.0% | 40.0% | |
| 71.43% | 7 | 2.6 | 600 | 11,424 | 100.0% | 60.0% | |
| 57.14% | 7 | 5.6 | 671 | 11,001 | 60.0% | 50.0% | |
| 57.14% | 7 | 1.9 | 884 | 12,772 | 50.0% | 60.0% | |
| 57.14% | 7 | 1.2 | 563 | 8,466 | 75.0% | 33.3% | |
| 57.14% | 7 | 1.7 | 676 | 11,777 | 80.0% | 0.0% | |
| 83.33% | 6 | 0.7 | 418 | 12,146 | 66.7% | 100.0% | |
| 66.67% | 6 | 1.8 | 637 | 11,259 | 100.0% | 50.0% | |
| 50.00% | 6 | 1.6 | 643 | 11,764 | 50.0% | 50.0% | |
| 40.00% | 5 | 3.6 | 692 | 13,242 | 50.0% | 33.3% | |
| 60.00% | 5 | 5.2 | 615 | 7,718 | 50.0% | 100.0% | |
| 60.00% | 5 | 1.6 | 735 | 10,631 | 66.7% | 50.0% | |
| 40.00% | 5 | 1.4 | 622 | 9,420 | 66.7% | 0.0% | |
| 20.00% | 5 | 2.1 | 736 | 8,943 | 50.0% | 0.0% | |
| 80.00% | 5 | 1.1 | 595 | 15,045 | 100.0% | 75.0% | |
| 60.00% | 5 | 4.1 | 612 | 9,004 | 0.0% | 75.0% | |
| 40.00% | 5 | 4.7 | 694 | 11,370 | 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 Nunu i Willump - Czesto zadawane pytania
Jakie sa najlepsze matchupy Nunu i Willump w League of Legends?
Najlepsze matchupy Nunu i Willump w patchu 26.4 to Viego, Kayn, and Kha'Zix. Nunu i Willump 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 Nunu i Willump?
Najgorsze matchupy Nunu i Willump to Tryndamere, Swain, and Yuumi. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Nunu i Willump i moga wykorzystac slabosci Nunu i Willump na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Nunu i Willump?
Mozesz sprawdzic dane matchupow Nunu i Willump 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 Nunu i Willump.
Kogo kontruje Nunu i Willump w League of Legends?
Nunu i Willump kontruje Viego, Kayn, and Kha'Zix w patchu 26.4. To sa najbardziej korzystne matchupy Nunu i Willump, gdzie Nunu i Willump ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Nunu i Willump w szczegolach.
Kto kontruje Nunu i Willump na linii?
Tryndamere, Swain, and Yuumi kontruja Nunu i Willump na linii w patchu 26.4. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Nunu i Willump. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.