OrnnMatchupy
Dane matchupów Ornn dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Ornn. Dowiedz się kogo Ornn pokonuje i komu przegrywa na linii.
Ornn Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Ornn 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 Ornn dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Ornn, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Ornn, 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 |
|---|---|---|---|---|---|---|---|
| 53.37% | 208 | 5.7 | 702 | 9,946 | 50.5% | 55.8% | |
| 58.88% | 197 | 6.0 | 629 | 11,262 | 59.4% | 58.6% | |
| 51.93% | 181 | 6.2 | 661 | 10,016 | 49.4% | 54.1% | |
| 55.84% | 154 | 5.7 | 681 | 9,853 | 50.0% | 61.3% | |
| 56.93% | 137 | 5.8 | 798 | 10,045 | 55.6% | 58.1% | |
| 54.07% | 135 | 6.4 | 709 | 10,728 | 59.0% | 50.0% | |
| 43.56% | 101 | 6.4 | 769 | 10,807 | 48.6% | 40.6% | |
| 53.06% | 98 | 6.0 | 618 | 10,850 | 40.5% | 60.7% | |
| 53.61% | 97 | 6.4 | 644 | 11,376 | 51.4% | 55.0% | |
| 48.94% | 94 | 6.1 | 674 | 9,481 | 39.6% | 58.7% | |
| 51.61% | 93 | 5.9 | 745 | 10,645 | 47.5% | 54.7% | |
| 52.81% | 89 | 6.3 | 655 | 11,017 | 51.5% | 53.6% | |
| 43.18% | 88 | 6.1 | 909 | 11,472 | 29.2% | 48.4% | |
| 51.16% | 86 | 6.4 | 1,101 | 10,731 | 58.1% | 44.2% | |
| 47.06% | 85 | 5.4 | 747 | 10,350 | 42.1% | 51.1% | |
| 54.88% | 82 | 5.6 | 692 | 10,132 | 59.5% | 51.1% | |
| 48.75% | 80 | 6.0 | 737 | 10,858 | 36.1% | 59.1% | |
| 48.00% | 75 | 6.2 | 739 | 10,270 | 55.9% | 41.5% | |
| 37.68% | 69 | 5.8 | 653 | 10,665 | 33.3% | 41.0% | |
| 43.48% | 69 | 6.5 | 715 | 11,307 | 46.1% | 41.9% | |
| 47.83% | 69 | 5.6 | 568 | 10,476 | 38.7% | 55.3% | |
| 62.32% | 69 | 6.3 | 908 | 10,968 | 50.0% | 69.8% | |
| 52.17% | 69 | 6.3 | 616 | 10,420 | 40.0% | 61.5% | |
| 48.53% | 68 | 6.0 | 713 | 10,572 | 44.4% | 51.2% | |
| 46.77% | 62 | 6.2 | 650 | 10,438 | 46.4% | 47.1% | |
| 53.33% | 60 | 6.1 | 714 | 10,580 | 48.0% | 57.1% | |
| 43.10% | 58 | 5.8 | 916 | 10,071 | 44.0% | 42.4% | |
| 33.93% | 56 | 5.7 | 778 | 10,232 | 33.3% | 34.6% | |
| 50.91% | 55 | 6.0 | 764 | 12,039 | 40.0% | 55.0% | |
| 58.49% | 53 | 6.0 | 667 | 10,415 | 53.9% | 63.0% | |
| 52.83% | 53 | 5.8 | 721 | 10,877 | 60.0% | 48.5% | |
| 56.86% | 51 | 5.7 | 906 | 10,774 | 64.7% | 52.9% | |
| 49.02% | 51 | 6.0 | 635 | 9,305 | 48.0% | 50.0% | |
| 59.57% | 47 | 6.0 | 597 | 10,878 | 52.2% | 66.7% | |
| 44.44% | 45 | 6.0 | 817 | 9,819 | 55.6% | 37.0% | |
| 53.49% | 43 | 5.8 | 645 | 9,401 | 57.1% | 50.0% | |
| 50.00% | 42 | 5.7 | 629 | 10,642 | 47.1% | 52.0% | |
| 47.62% | 42 | 5.9 | 603 | 9,958 | 50.0% | 45.8% | |
| 58.54% | 41 | 5.7 | 646 | 10,793 | 47.1% | 66.7% | |
| 62.86% | 35 | 5.8 | 654 | 10,593 | 57.1% | 66.7% | |
| 61.76% | 34 | 5.8 | 694 | 11,671 | 60.0% | 62.5% | |
| 53.33% | 30 | 5.8 | 656 | 10,281 | 46.1% | 58.8% | |
| 46.67% | 30 | 5.3 | 620 | 11,113 | 45.5% | 47.4% | |
| 60.71% | 28 | 6.2 | 712 | 11,014 | 50.0% | 66.7% | |
| 42.86% | 28 | 6.2 | 823 | 9,287 | 33.3% | 53.9% | |
| 59.26% | 27 | 5.1 | 776 | 11,411 | 37.5% | 68.4% | |
| 58.33% | 24 | 6.4 | 717 | 11,428 | 63.6% | 53.9% | |
| 36.36% | 22 | 6.2 | 559 | 10,830 | 33.3% | 37.5% | |
| 52.38% | 21 | 6.4 | 775 | 10,464 | 50.0% | 53.9% | |
| 45.00% | 20 | 5.5 | 611 | 9,729 | 27.3% | 66.7% | |
| 52.63% | 19 | 5.6 | 706 | 10,434 | 57.1% | 50.0% | |
| 57.89% | 19 | 5.0 | 564 | 9,555 | 55.6% | 60.0% | |
| 72.22% | 18 | 6.4 | 670 | 10,294 | 57.1% | 81.8% | |
| 22.22% | 18 | 6.1 | 569 | 10,307 | 40.0% | 0.0% | |
| 50.00% | 16 | 5.3 | 594 | 10,329 | 42.9% | 55.6% | |
| 46.67% | 15 | 2.3 | 513 | 11,094 | 66.7% | 41.7% | |
| 42.86% | 14 | 4.8 | 790 | 9,801 | 40.0% | 44.4% | |
| 57.14% | 14 | 4.8 | 777 | 10,187 | 37.5% | 83.3% | |
| 61.54% | 13 | 6.0 | 794 | 11,178 | 66.7% | 57.1% | |
| 53.85% | 13 | 5.5 | 563 | 9,567 | 50.0% | 57.1% | |
| 83.33% | 12 | 5.6 | 726 | 11,666 | 50.0% | 90.0% | |
| 75.00% | 12 | 5.9 | 763 | 11,739 | 66.7% | 77.8% | |
| 41.67% | 12 | 5.2 | 671 | 11,022 | 33.3% | 44.4% | |
| 72.73% | 11 | 4.8 | 552 | 10,201 | 66.7% | 75.0% | |
| 45.45% | 11 | 6.1 | 552 | 8,926 | 50.0% | 40.0% | |
| 45.45% | 11 | 2.3 | 609 | 9,780 | 50.0% | 42.9% | |
| 45.45% | 11 | 5.6 | 1,159 | 11,311 | 0.0% | 62.5% | |
| 60.00% | 10 | 6.3 | 597 | 10,420 | 75.0% | 50.0% | |
| 80.00% | 10 | 6.7 | 696 | 12,364 | 66.7% | 85.7% | |
| 30.00% | 10 | 2.1 | 436 | 9,418 | 33.3% | 28.6% | |
| 44.44% | 9 | 6.7 | 1,062 | 11,764 | 50.0% | 40.0% | |
| 22.22% | 9 | 1.7 | 649 | 10,514 | 20.0% | 25.0% | |
| 75.00% | 8 | 3.9 | 611 | 11,945 | 50.0% | 83.3% | |
| 50.00% | 8 | 4.8 | 663 | 8,358 | 50.0% | 50.0% | |
| 87.50% | 8 | 3.9 | 568 | 10,196 | 75.0% | 100.0% | |
| 87.50% | 8 | 5.7 | 575 | 11,958 | 100.0% | 83.3% | |
| 75.00% | 8 | 5.9 | 512 | 9,791 | 75.0% | 75.0% | |
| 42.86% | 7 | 6.5 | 770 | 12,271 | 66.7% | 25.0% | |
| 57.14% | 7 | 2.0 | 459 | 10,317 | 50.0% | 60.0% | |
| 14.29% | 7 | 2.1 | 450 | 7,926 | 20.0% | 0.0% | |
| 71.43% | 7 | 5.1 | 665 | 10,514 | 66.7% | 75.0% | |
| 42.86% | 7 | 6.4 | 484 | 11,041 | 0.0% | 60.0% | |
| 28.57% | 7 | 2.5 | 567 | 10,449 | 0.0% | 40.0% | |
| 33.33% | 6 | 3.1 | 501 | 11,989 | 0.0% | 33.3% | |
| 66.67% | 6 | 5.6 | 589 | 12,591 | 0.0% | 66.7% | |
| 33.33% | 6 | 3.7 | 585 | 9,929 | 33.3% | 33.3% | |
| 50.00% | 6 | 6.2 | 682 | 11,884 | 100.0% | 40.0% | |
| 50.00% | 6 | 1.9 | 505 | 8,157 | 33.3% | 66.7% | |
| 100.00% | 6 | 5.2 | 517 | 12,241 | 100.0% | 100.0% | |
| 20.00% | 5 | 2.2 | 344 | 7,126 | 0.0% | 50.0% | |
| 40.00% | 5 | 3.8 | 620 | 12,195 | 0.0% | 50.0% | |
| 40.00% | 5 | 5.5 | 741 | 11,168 | 0.0% | 66.7% | |
| 60.00% | 5 | 4.8 | 596 | 8,244 | 75.0% | 0.0% | |
| 60.00% | 5 | 4.9 | 565 | 10,352 | 100.0% | 33.3% | |
| 80.00% | 5 | 6.3 | 581 | 10,798 | 50.0% | 100.0% | |
| 80.00% | 5 | 1.5 | 551 | 9,976 | 50.0% | 100.0% | |
| 40.00% | 5 | 5.8 | 681 | 13,225 | 0.0% | 40.0% | |
| 60.00% | 5 | 4.3 | 602 | 12,307 | 0.0% | 60.0% | |
| 0.00% | 5 | 2.4 | 462 | 7,999 | 0.0% | 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 Ornn - Czesto zadawane pytania
Jakie sa najlepsze matchupy Ornn w League of Legends?
Najlepsze matchupy Ornn w patchu 26.10 to Mordekaiser, Teemo, and Garen. Ornn 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 Ornn?
Najgorsze matchupy Ornn to Blitzcrank, Nautilus, and Vel'Koz. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Ornn i moga wykorzystac slabosci Ornn na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Ornn?
Mozesz sprawdzic dane matchupow Ornn 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 Ornn.
Kogo kontruje Ornn w League of Legends?
Ornn kontruje Mordekaiser, Teemo, and Garen w patchu 26.10. To sa najbardziej korzystne matchupy Ornn, gdzie Ornn ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Ornn w szczegolach.
Kto kontruje Ornn na linii?
Blitzcrank, Nautilus, and Vel'Koz kontruja Ornn na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Ornn. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.