CassiopeiaEslesmeler
League of Legends patch 26.10 Cassiopeia eşleşme verileri. Her Cassiopeia eşleşmesi için win rate, performans istatistikleri ve en iyi buildler. Cassiopeia\'in kimi yendiğini ve koridorda kime kaybettiğini öğrenin.
Cassiopeia Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Cassiopeia 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.
Cassiopeia esleme verileri League of Legends 26.10 yamasi icin. Asagidaki tablo, mevcut metadaki her sampiyona karsi Cassiopeia'in kazanma oranini, altin farkini ve performans istatistiklerini gosterir. En iyi Cassiopeia buildi, runleri, koridor istatistikleri ve erken vs gec oyun analizini iceren ayrintili bir dokum icin herhangi bir sampiyon adina tiklayin.
Rakip | Kazanma oranı | Maçlar | CS/dk | Hasar/dk | Altin/mac | Erken KO | Gec KO |
|---|---|---|---|---|---|---|---|
| 42.11% | 57 | 6.3 | 874 | 11,880 | 52.2% | 35.3% | |
| 41.67% | 48 | 6.5 | 803 | 12,406 | 78.6% | 26.5% | |
| 45.65% | 46 | 6.7 | 882 | 11,346 | 40.9% | 50.0% | |
| 36.36% | 44 | 6.7 | 892 | 11,552 | 33.3% | 37.9% | |
| 54.29% | 35 | 6.4 | 847 | 13,302 | 37.5% | 59.3% | |
| 38.24% | 34 | 6.9 | 791 | 11,856 | 42.9% | 35.0% | |
| 45.45% | 33 | 6.8 | 865 | 12,117 | 46.1% | 45.0% | |
| 58.06% | 31 | 6.0 | 769 | 9,484 | 47.4% | 75.0% | |
| 34.48% | 29 | 6.4 | 787 | 11,984 | 25.0% | 41.2% | |
| 55.17% | 29 | 6.8 | 748 | 11,698 | 57.1% | 53.3% | |
| 34.48% | 29 | 6.1 | 704 | 11,938 | 37.5% | 33.3% | |
| 50.00% | 28 | 6.6 | 721 | 11,728 | 20.0% | 66.7% | |
| 64.29% | 28 | 6.4 | 944 | 11,837 | 66.7% | 63.2% | |
| 40.74% | 27 | 6.0 | 828 | 11,265 | 20.0% | 52.9% | |
| 48.15% | 27 | 5.9 | 818 | 10,909 | 41.7% | 53.3% | |
| 53.85% | 26 | 6.7 | 1,071 | 12,108 | 45.5% | 60.0% | |
| 68.00% | 25 | 6.1 | 770 | 10,376 | 76.9% | 58.3% | |
| 40.00% | 25 | 6.4 | 838 | 10,148 | 26.7% | 60.0% | |
| 45.83% | 24 | 6.2 | 819 | 10,786 | 46.1% | 45.5% | |
| 47.83% | 23 | 6.0 | 939 | 12,192 | 44.4% | 50.0% | |
| 52.38% | 21 | 7.2 | 882 | 11,806 | 40.0% | 63.6% | |
| 52.38% | 21 | 6.8 | 768 | 11,900 | 57.1% | 50.0% | |
| 47.62% | 21 | 6.6 | 704 | 10,840 | 30.0% | 63.6% | |
| 47.62% | 21 | 6.7 | 796 | 11,013 | 58.3% | 33.3% | |
| 40.00% | 20 | 6.7 | 914 | 13,208 | 40.0% | 40.0% | |
| 35.00% | 20 | 6.4 | 777 | 12,568 | 50.0% | 28.6% | |
| 35.00% | 20 | 6.3 | 863 | 14,570 | 66.7% | 21.4% | |
| 36.84% | 19 | 6.7 | 774 | 10,481 | 40.0% | 33.3% | |
| 44.44% | 18 | 6.7 | 953 | 11,071 | 50.0% | 37.5% | |
| 55.56% | 18 | 6.8 | 791 | 10,073 | 60.0% | 50.0% | |
| 58.82% | 17 | 6.1 | 687 | 10,695 | 66.7% | 50.0% | |
| 47.06% | 17 | 6.5 | 971 | 12,460 | 60.0% | 41.7% | |
| 56.25% | 16 | 6.0 | 813 | 12,406 | 66.7% | 53.9% | |
| 37.50% | 16 | 6.5 | 946 | 12,206 | 14.3% | 55.6% | |
| 31.25% | 16 | 5.5 | 802 | 8,429 | 57.1% | 11.1% | |
| 46.67% | 15 | 6.7 | 987 | 11,935 | 28.6% | 62.5% | |
| 26.67% | 15 | 5.7 | 881 | 12,758 | 25.0% | 27.3% | |
| 64.29% | 14 | 7.2 | 946 | 11,474 | 71.4% | 57.1% | |
| 61.54% | 13 | 6.2 | 1,002 | 13,096 | 71.4% | 50.0% | |
| 46.15% | 13 | 7.1 | 738 | 11,949 | 42.9% | 50.0% | |
| 38.46% | 13 | 6.2 | 690 | 11,743 | 40.0% | 37.5% | |
| 58.33% | 12 | 6.8 | 769 | 11,938 | 60.0% | 57.1% | |
| 50.00% | 12 | 5.9 | 701 | 11,148 | 42.9% | 60.0% | |
| 33.33% | 12 | 6.2 | 833 | 11,771 | 66.7% | 22.2% | |
| 41.67% | 12 | 6.4 | 741 | 10,789 | 40.0% | 42.9% | |
| 50.00% | 12 | 6.4 | 760 | 12,703 | 50.0% | 50.0% | |
| 33.33% | 12 | 7.2 | 930 | 12,177 | 50.0% | 25.0% | |
| 18.18% | 11 | 6.7 | 719 | 11,290 | 20.0% | 16.7% | |
| 63.64% | 11 | 6.6 | 761 | 11,427 | 100.0% | 42.9% | |
| 45.45% | 11 | 5.8 | 821 | 10,563 | 20.0% | 66.7% | |
| 27.27% | 11 | 5.0 | 705 | 10,152 | 0.0% | 60.0% | |
| 63.64% | 11 | 7.0 | 695 | 10,231 | 75.0% | 33.3% | |
| 70.00% | 10 | 6.3 | 857 | 14,455 | 33.3% | 85.7% | |
| 40.00% | 10 | 6.1 | 895 | 10,394 | 60.0% | 20.0% | |
| 33.33% | 9 | 6.1 | 811 | 10,678 | 0.0% | 50.0% | |
| 66.67% | 9 | 6.5 | 848 | 12,722 | 66.7% | 66.7% | |
| 25.00% | 8 | 6.4 | 541 | 11,089 | 33.3% | 20.0% | |
| 62.50% | 8 | 6.8 | 837 | 12,985 | 50.0% | 66.7% | |
| 50.00% | 8 | 6.4 | 893 | 10,327 | 60.0% | 33.3% | |
| 50.00% | 8 | 4.5 | 852 | 11,576 | 50.0% | 50.0% | |
| 42.86% | 7 | 6.6 | 735 | 12,376 | 100.0% | 33.3% | |
| 71.43% | 7 | 7.4 | 955 | 13,949 | 100.0% | 50.0% | |
| 57.14% | 7 | 6.6 | 842 | 10,940 | 60.0% | 50.0% | |
| 42.86% | 7 | 6.7 | 937 | 12,517 | 33.3% | 50.0% | |
| 28.57% | 7 | 5.9 | 969 | 13,382 | 50.0% | 20.0% | |
| 14.29% | 7 | 5.9 | 719 | 10,733 | 0.0% | 25.0% | |
| 42.86% | 7 | 6.5 | 1,083 | 10,109 | 50.0% | 33.3% | |
| 28.57% | 7 | 4.9 | 818 | 10,938 | 0.0% | 33.3% | |
| 42.86% | 7 | 7.1 | 928 | 13,427 | 66.7% | 25.0% | |
| 28.57% | 7 | 6.7 | 929 | 10,013 | 40.0% | 0.0% | |
| 42.86% | 7 | 6.7 | 982 | 8,483 | 40.0% | 50.0% | |
| 66.67% | 6 | 6.5 | 873 | 11,625 | 75.0% | 50.0% | |
| 66.67% | 6 | 6.5 | 881 | 11,780 | 75.0% | 50.0% | |
| 50.00% | 6 | 6.5 | 831 | 10,060 | 66.7% | 33.3% | |
| 33.33% | 6 | 6.8 | 877 | 13,599 | 0.0% | 50.0% | |
| 33.33% | 6 | 6.5 | 752 | 14,016 | 0.0% | 40.0% | |
| 33.33% | 6 | 7.2 | 768 | 11,917 | 66.7% | 0.0% | |
| 50.00% | 6 | 6.8 | 1,202 | 10,640 | 75.0% | 0.0% | |
| 50.00% | 6 | 5.8 | 647 | 11,851 | 100.0% | 25.0% | |
| 16.67% | 6 | 6.2 | 837 | 13,151 | 0.0% | 16.7% | |
| 40.00% | 5 | 7.4 | 876 | 13,194 | 50.0% | 33.3% | |
| 80.00% | 5 | 6.2 | 1,130 | 10,029 | 100.0% | 66.7% | |
| 60.00% | 5 | 7.3 | 707 | 11,714 | 75.0% | 0.0% | |
| 40.00% | 5 | 6.7 | 878 | 13,050 | 50.0% | 0.0% | |
| 40.00% | 5 | 7.7 | 826 | 11,766 | 50.0% | 33.3% | |
| 0.00% | 5 | 7.0 | 961 | 12,198 | 0.0% | 0.0% | |
| 60.00% | 5 | 7.3 | 792 | 9,722 | 50.0% | 66.7% | |
| 80.00% | 5 | 6.0 | 941 | 12,385 | 100.0% | 75.0% | |
| 60.00% | 5 | 8.4 | 957 | 12,747 | 50.0% | 66.7% | |
| 40.00% | 5 | 7.8 | 890 | 10,837 | 50.0% | 33.3% | |
| 60.00% | 5 | 6.1 | 646 | 11,533 | 0.0% | 100.0% | |
| 40.00% | 5 | 6.7 | 716 | 10,081 | 50.0% | 0.0% | |
| 60.00% | 5 | 6.2 | 911 | 11,293 | 100.0% | 33.3% | |
| 100.00% | 5 | 7.1 | 1,006 | 13,931 | 100.0% | 100.0% | |
Doğruluğu korumamıza yardım edin! Yanlış istatistikler, eksik veriler veya herhangi bir sorun fark ederseniz, geri bildiriminiz tüm topluluk için veri kalitemizi doğrudan iyileştirir.
Cassiopeia Matchups - Sik Sorulan Sorular
League of Legends'da Cassiopeia'in en iyi matchuplari nelerdir?
Cassiopeia'in patch 26.10'daki en iyi matchuplari Ahri, Malzahar, and Yone'i icerir. Cassiopeia bu sampiyonlara karsi en yuksek kazanma oranina sahiptir ve onlarla karsilatiginda lane'i domine edebilir. Ayrintili istatistikleri gormek icin matchup tablosundan herhangi bir rakibi secin.
Cassiopeia'in en kotu matchuplari nelerdir?
Cassiopeia'in en kotu matchuplari Kayle, Olaf, and Fiora'i icerir. Bu sampiyonlar Cassiopeia'e karsi avantajli kazanma oranlarina sahiptir ve Cassiopeia'in lane'deki zayifliklarini kullanabilir. Tam matchup analizini gormek icin tablodaki bir sampiyon adina tiklayin.
Cassiopeia matchup verilerini nasil kontrol ederim?
Cassiopeia matchup verilerini tam burada bu sayfada kontrol edebilirsiniz. Matchup tablosu her sampiyona karsi kazanma oranlari ve istatistikleri gosterir. Bu ozel Cassiopeia matchupu icin en iyi build, runeler, lane istatistikleri ve erken vs gec oyun analizini iceren ayrintili bir doekum gormek icin herhangi bir sampiyon adina tiklayin.
League of Legends'da Cassiopeia kimi counter yapar?
Cassiopeia patch 26.10'da Ahri, Malzahar, and Yone'i counter yapar. Bunlar Cassiopeia'in en yuksek kazanma oranlari ve en guclu lane performansina sahip oldugu en avantajli matchuplaridir. Herhangi bir ozel Cassiopeia matchupunu ayrintili olarak kesfetmek icin yukaridaki matchup seciciyi kullanin.
Lane'de Cassiopeia'i kim counter yapar?
Kayle, Olaf, and Fiora patch 26.10 sirasinda lane'de Cassiopeia'i counter yapar. Bu sampiyonlar Cassiopeia'e karsi en iyi kazanma oranlarina sahiptir. Ayrintili matchup stratejilerini ve onerilen buildleri gormek icin counters sekmesine bakin veya tablodaki bir sampiyona tiklayin.