OlafMatchups
Dados de confrontos de Olaf para League of Legends patch 26.4. Win rates, estatísticas de desempenho e melhores builds para cada confronto de Olaf. Descubra quem Olaf vence e contra quem Olaf perde na lane.
Olaf Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Olaf 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.
Dados de matchup de Olaf para o patch 26.4 de League of Legends. A tabela abaixo mostra a taxa de vitoria, diferenca de ouro e estatisticas de desempenho de Olaf contra cada campeao na meta atual. Clique em qualquer nome de campeao para ver uma analise detalhada incluindo o melhor build de Olaf, runas, estatisticas de rota e analise de early vs late game para esse matchup especifico.
Oponente | Taxa de Vitória | Partidas | CS/min | Dano/min | Ouro/partida | TV Inicial | TV Final |
|---|---|---|---|---|---|---|---|
| 48.81% | 168 | 6.2 | 896 | 11,844 | 55.8% | 41.5% | |
| 55.06% | 90 | 6.8 | 890 | 12,493 | 50.0% | 60.0% | |
| 55.29% | 85 | 6.5 | 844 | 11,632 | 55.1% | 55.6% | |
| 47.06% | 85 | 6.8 | 1,074 | 12,363 | 55.6% | 37.5% | |
| 51.90% | 79 | 6.1 | 769 | 12,664 | 68.6% | 38.6% | |
| 44.59% | 74 | 6.4 | 947 | 12,246 | 37.8% | 51.4% | |
| 58.33% | 72 | 6.6 | 890 | 12,853 | 56.4% | 60.6% | |
| 55.56% | 63 | 6.1 | 993 | 12,484 | 62.5% | 48.4% | |
| 52.38% | 63 | 6.3 | 1,164 | 12,290 | 55.6% | 48.1% | |
| 52.46% | 61 | 6.2 | 856 | 12,299 | 53.9% | 51.4% | |
| 52.46% | 61 | 6.8 | 789 | 12,623 | 48.5% | 57.1% | |
| 43.10% | 60 | 6.2 | 785 | 10,976 | 42.4% | 44.0% | |
| 46.55% | 58 | 6.2 | 942 | 13,168 | 39.1% | 51.4% | |
| 40.00% | 55 | 6.8 | 937 | 12,272 | 40.7% | 39.3% | |
| 56.36% | 55 | 7.1 | 936 | 13,414 | 46.4% | 66.7% | |
| 47.17% | 54 | 5.2 | 847 | 11,789 | 37.5% | 55.2% | |
| 48.98% | 49 | 6.8 | 865 | 11,349 | 39.3% | 61.9% | |
| 44.68% | 48 | 6.8 | 871 | 13,115 | 50.0% | 40.0% | |
| 36.17% | 48 | 6.4 | 920 | 12,464 | 37.5% | 34.8% | |
| 68.09% | 47 | 7.4 | 906 | 13,335 | 68.0% | 68.2% | |
| 36.17% | 47 | 6.5 | 819 | 11,808 | 42.3% | 28.6% | |
| 57.78% | 45 | 6.4 | 1,038 | 11,557 | 69.6% | 45.5% | |
| 33.33% | 45 | 6.3 | 888 | 11,974 | 25.0% | 40.0% | |
| 38.64% | 44 | 6.7 | 891 | 12,753 | 47.8% | 28.6% | |
| 45.95% | 37 | 6.5 | 899 | 12,518 | 41.2% | 50.0% | |
| 44.44% | 36 | 6.3 | 906 | 13,362 | 30.8% | 52.2% | |
| 50.00% | 36 | 6.7 | 1,158 | 12,745 | 52.9% | 47.4% | |
| 45.71% | 35 | 5.8 | 904 | 13,114 | 52.9% | 38.9% | |
| 45.45% | 35 | 5.8 | 788 | 12,152 | 50.0% | 42.1% | |
| 42.42% | 33 | 6.9 | 964 | 12,377 | 41.2% | 43.8% | |
| 61.29% | 32 | 6.6 | 796 | 12,747 | 73.3% | 50.0% | |
| 46.88% | 32 | 7.0 | 889 | 12,847 | 46.7% | 47.1% | |
| 53.57% | 28 | 2.4 | 860 | 12,843 | 46.7% | 61.5% | |
| 38.46% | 26 | 6.0 | 789 | 12,409 | 37.5% | 38.9% | |
| 38.46% | 26 | 6.7 | 865 | 13,593 | 27.3% | 46.7% | |
| 60.00% | 25 | 3.8 | 1,068 | 13,886 | 60.0% | 60.0% | |
| 33.33% | 25 | 6.2 | 750 | 11,555 | 50.0% | 16.7% | |
| 66.67% | 25 | 4.6 | 846 | 12,260 | 62.5% | 75.0% | |
| 70.83% | 24 | 3.5 | 765 | 12,631 | 69.2% | 72.7% | |
| 43.48% | 23 | 2.1 | 685 | 12,303 | 58.3% | 27.3% | |
| 39.13% | 23 | 6.5 | 819 | 12,079 | 36.4% | 41.7% | |
| 60.87% | 23 | 6.2 | 823 | 12,404 | 72.7% | 50.0% | |
| 60.87% | 23 | 7.1 | 912 | 14,523 | 50.0% | 66.7% | |
| 57.89% | 20 | 6.2 | 871 | 13,362 | 50.0% | 63.6% | |
| 52.63% | 19 | 6.1 | 869 | 10,913 | 50.0% | 57.1% | |
| 72.22% | 18 | 3.6 | 1,060 | 14,636 | 75.0% | 70.0% | |
| 66.67% | 18 | 6.5 | 849 | 12,561 | 57.1% | 72.7% | |
| 11.76% | 17 | 2.5 | 745 | 11,962 | 25.0% | 0.0% | |
| 58.82% | 17 | 4.7 | 720 | 11,796 | 66.7% | 50.0% | |
| 12.50% | 16 | 6.4 | 939 | 10,054 | 8.3% | 25.0% | |
| 25.00% | 16 | 3.0 | 681 | 12,186 | 20.0% | 33.3% | |
| 37.50% | 16 | 1.2 | 705 | 12,179 | 42.9% | 33.3% | |
| 46.67% | 15 | 2.8 | 767 | 12,120 | 42.9% | 50.0% | |
| 60.00% | 15 | 6.3 | 850 | 15,177 | 40.0% | 70.0% | |
| 53.33% | 15 | 6.5 | 735 | 12,218 | 42.9% | 62.5% | |
| 40.00% | 15 | 6.8 | 947 | 14,873 | 42.9% | 37.5% | |
| 21.43% | 14 | 6.4 | 780 | 10,864 | 37.5% | 0.0% | |
| 71.43% | 14 | 4.3 | 1,036 | 15,344 | 100.0% | 60.0% | |
| 50.00% | 14 | 1.4 | 810 | 13,223 | 80.0% | 33.3% | |
| 53.85% | 13 | 6.5 | 991 | 12,611 | 83.3% | 28.6% | |
| 53.85% | 13 | 4.0 | 826 | 13,656 | 60.0% | 50.0% | |
| 83.33% | 12 | 6.4 | 795 | 13,194 | 75.0% | 87.5% | |
| 75.00% | 12 | 1.4 | 852 | 15,190 | 33.3% | 88.9% | |
| 41.67% | 12 | 2.7 | 804 | 13,289 | 40.0% | 42.9% | |
| 54.55% | 11 | 6.2 | 842 | 11,040 | 50.0% | 60.0% | |
| 36.36% | 11 | 5.5 | 807 | 11,146 | 28.6% | 50.0% | |
| 63.64% | 11 | 2.9 | 759 | 12,293 | 50.0% | 80.0% | |
| 54.55% | 11 | 3.2 | 870 | 13,178 | 50.0% | 60.0% | |
| 55.56% | 10 | 2.7 | 857 | 13,610 | 50.0% | 60.0% | |
| 44.44% | 9 | 3.5 | 851 | 11,391 | 20.0% | 75.0% | |
| 11.11% | 9 | 2.5 | 881 | 13,254 | 0.0% | 14.3% | |
| 44.44% | 9 | 2.0 | 878 | 14,933 | 60.0% | 25.0% | |
| 44.44% | 9 | 1.1 | 787 | 11,230 | 33.3% | 66.7% | |
| 50.00% | 8 | 6.1 | 996 | 14,659 | 66.7% | 40.0% | |
| 50.00% | 8 | 6.6 | 746 | 11,054 | 40.0% | 66.7% | |
| 14.29% | 7 | 1.9 | 893 | 10,607 | 16.7% | 0.0% | |
| 71.43% | 7 | 2.2 | 985 | 13,910 | 60.0% | 100.0% | |
| 71.43% | 7 | 3.1 | 761 | 14,201 | 75.0% | 66.7% | |
| 57.14% | 7 | 3.6 | 1,038 | 16,361 | 0.0% | 66.7% | |
| 28.57% | 7 | 1.6 | 676 | 11,099 | 20.0% | 50.0% | |
| 33.33% | 6 | 1.7 | 806 | 15,400 | 0.0% | 40.0% | |
| 50.00% | 6 | 7.1 | 1,026 | 14,779 | 0.0% | 50.0% | |
| 16.67% | 6 | 6.2 | 756 | 10,189 | 33.3% | 0.0% | |
| 33.33% | 6 | 5.6 | 975 | 11,170 | 0.0% | 50.0% | |
| 40.00% | 5 | 6.6 | 645 | 11,817 | 0.0% | 66.7% | |
| 20.00% | 5 | 1.0 | 794 | 14,853 | 0.0% | 25.0% | |
| 40.00% | 5 | 3.7 | 615 | 9,652 | 33.3% | 50.0% | |
| 60.00% | 5 | 7.5 | 911 | 12,868 | 50.0% | 100.0% | |
| 60.00% | 5 | 3.3 | 780 | 12,840 | 0.0% | 100.0% | |
| 40.00% | 5 | 7.3 | 1,071 | 16,290 | 0.0% | 50.0% | |
| 20.00% | 5 | 1.1 | 444 | 10,041 | 25.0% | 0.0% | |
| 40.00% | 5 | 1.0 | 605 | 8,132 | 40.0% | 0.0% | |
Ajude-nos a manter a precisão! Se você notar estatísticas incorretas, dados faltantes ou quaisquer problemas, seu feedback melhora diretamente a qualidade dos nossos dados para toda a comunidade.
Matchups de Olaf - Perguntas Frequentes
Quais sao os melhores matchups de Olaf em League of Legends?
Os melhores matchups de Olaf no patch 26.4 incluem Mordekaiser, Garen, and Urgot. Olaf tem as maiores taxas de vitoria contra esses campeoes e pode dominar a lane quando os enfrenta. Selecione qualquer oponente da tabela de matchups para ver estatisticas detalhadas.
Quais sao os piores matchups de Olaf?
Os piores matchups de Olaf incluem Zac, Lillia, and Kled. Esses campeoes tem taxas de vitoria favoraveis contra Olaf e podem explorar as fraquezas de Olaf na lane. Clique no nome de um campeao na tabela para ver o detalhamento completo do matchup.
Como verificar dados de matchup de Olaf?
Voce pode verificar os dados de matchup de Olaf bem aqui nesta pagina. A tabela de matchups mostra taxas de vitoria e estatisticas contra cada campeao. Clique no nome de qualquer campeao para ver um detalhamento incluindo a melhor build, runas, estatisticas de lane e analise de early vs late game para esse matchup especifico de Olaf.
Quem Olaf da counter em League of Legends?
Olaf da counter em Mordekaiser, Garen, and Urgot no patch 26.4. Estes sao os matchups mais favoraveis de Olaf onde Olaf tem as maiores taxas de vitoria e melhor desempenho na lane. Use o seletor de matchups acima para explorar qualquer matchup especifico de Olaf em detalhes.
Quem da counter em Olaf na lane?
Zac, Lillia, and Kled dao counter em Olaf na lane durante o patch 26.4. Esses campeoes tem as melhores taxas de vitoria contra Olaf. Confira a aba de counters ou clique em um campeao na tabela para ver estrategias de matchup detalhadas e builds recomendadas.