SennaEslesmeler
League of Legends patch 26.10 Senna eşleşme verileri. Her Senna eşleşmesi için win rate, performans istatistikleri ve en iyi buildler. Senna\'in kimi yendiğini ve koridorda kime kaybettiğini öğrenin.
Senna Eşleşme Analizi
Bir rakip seçmek ve Senna'in onlara karşı nasıl performans gösterdiğine dair detaylı bir analiz görmek için açılır menüyü kullanın. Kafa kafaya kazanma oranları, koridor istatistikleri, eşleşme için en iyi build ve runlar ve erken vs geç oyun analizi alacaksınız — tümü gerçek dereceli verilerine dayalı.
Senna esleme verileri League of Legends 26.10 yamasi icin. Asagidaki tablo, mevcut metadaki her sampiyona karsi Senna'in kazanma oranini, altin farkini ve performans istatistiklerini gosterir. En iyi Senna 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 |
|---|---|---|---|---|---|---|---|
| 50.58% | 684 | 1.7 | 593 | 10,400 | 51.3% | 50.0% | |
| 52.96% | 557 | 1.5 | 606 | 9,936 | 56.7% | 49.5% | |
| 47.16% | 511 | 1.8 | 540 | 10,279 | 42.0% | 50.7% | |
| 45.49% | 488 | 6.2 | 889 | 13,355 | 46.5% | 44.9% | |
| 53.72% | 443 | 1.6 | 612 | 10,301 | 54.0% | 53.5% | |
| 51.78% | 394 | 1.6 | 608 | 10,236 | 55.1% | 49.1% | |
| 45.34% | 386 | 5.4 | 718 | 12,130 | 45.0% | 45.6% | |
| 52.41% | 374 | 2.1 | 640 | 11,041 | 52.0% | 52.6% | |
| 49.86% | 359 | 1.6 | 622 | 10,024 | 52.2% | 48.0% | |
| 47.63% | 359 | 6.0 | 768 | 12,434 | 44.6% | 49.8% | |
| 57.35% | 347 | 1.7 | 657 | 10,947 | 56.2% | 58.1% | |
| 54.48% | 279 | 1.6 | 666 | 10,170 | 52.9% | 55.9% | |
| 50.79% | 254 | 5.6 | 791 | 12,745 | 57.4% | 45.9% | |
| 47.83% | 253 | 1.6 | 654 | 10,400 | 48.6% | 47.3% | |
| 47.41% | 251 | 1.7 | 596 | 10,580 | 46.0% | 48.3% | |
| 50.40% | 249 | 1.6 | 603 | 10,192 | 56.6% | 45.8% | |
| 49.59% | 244 | 1.5 | 574 | 9,930 | 50.4% | 48.8% | |
| 52.92% | 240 | 5.8 | 735 | 12,323 | 51.0% | 54.4% | |
| 52.14% | 234 | 1.5 | 633 | 10,386 | 55.6% | 48.7% | |
| 50.87% | 230 | 1.6 | 612 | 10,087 | 53.5% | 48.3% | |
| 48.26% | 230 | 6.0 | 791 | 13,097 | 53.1% | 44.7% | |
| 55.75% | 226 | 5.9 | 811 | 12,936 | 46.4% | 62.8% | |
| 56.44% | 225 | 2.1 | 683 | 10,428 | 60.2% | 53.0% | |
| 53.21% | 218 | 1.8 | 587 | 10,374 | 50.0% | 55.8% | |
| 53.95% | 215 | 1.6 | 536 | 9,772 | 55.0% | 52.9% | |
| 47.42% | 214 | 1.5 | 700 | 10,612 | 43.8% | 50.0% | |
| 53.37% | 208 | 1.5 | 654 | 9,885 | 61.4% | 45.8% | |
| 56.35% | 197 | 1.7 | 788 | 10,260 | 54.4% | 57.9% | |
| 57.87% | 178 | 1.7 | 567 | 10,560 | 56.9% | 58.4% | |
| 48.30% | 176 | 1.8 | 544 | 10,630 | 48.0% | 48.5% | |
| 53.61% | 166 | 1.7 | 610 | 10,738 | 60.0% | 49.0% | |
| 51.77% | 141 | 6.1 | 843 | 13,748 | 43.4% | 56.8% | |
| 57.66% | 137 | 2.3 | 643 | 11,133 | 52.7% | 61.0% | |
| 53.38% | 133 | 6.0 | 824 | 12,637 | 45.9% | 59.7% | |
| 55.56% | 126 | 1.6 | 636 | 10,157 | 50.9% | 59.1% | |
| 56.45% | 124 | 1.5 | 736 | 10,702 | 67.9% | 47.1% | |
| 62.81% | 121 | 1.6 | 632 | 10,666 | 60.0% | 64.8% | |
| 47.66% | 107 | 1.8 | 600 | 10,327 | 46.3% | 49.1% | |
| 53.33% | 105 | 1.5 | 676 | 9,753 | 50.0% | 56.9% | |
| 51.52% | 99 | 1.7 | 700 | 10,505 | 46.1% | 55.0% | |
| 56.52% | 92 | 1.7 | 662 | 10,405 | 57.1% | 55.8% | |
| 46.67% | 90 | 5.2 | 714 | 12,749 | 57.5% | 38.0% | |
| 56.67% | 90 | 6.0 | 809 | 12,210 | 57.8% | 55.6% | |
| 50.00% | 86 | 5.8 | 867 | 12,826 | 54.0% | 46.9% | |
| 44.71% | 85 | 5.8 | 775 | 12,334 | 43.6% | 45.6% | |
| 58.02% | 81 | 6.1 | 800 | 13,173 | 54.0% | 61.4% | |
| 47.44% | 78 | 6.2 | 773 | 13,191 | 52.8% | 42.9% | |
| 50.65% | 77 | 1.8 | 639 | 11,147 | 51.7% | 50.0% | |
| 48.68% | 76 | 5.9 | 783 | 12,317 | 53.1% | 45.5% | |
| 55.71% | 70 | 3.1 | 660 | 11,029 | 61.8% | 50.0% | |
| 40.32% | 62 | 6.1 | 781 | 13,912 | 36.8% | 41.9% | |
| 56.67% | 60 | 1.4 | 638 | 9,444 | 64.7% | 46.1% | |
| 51.67% | 60 | 6.1 | 800 | 12,882 | 51.9% | 51.5% | |
| 48.21% | 56 | 6.2 | 884 | 13,642 | 53.9% | 43.3% | |
| 62.50% | 56 | 2.4 | 587 | 10,651 | 51.9% | 72.4% | |
| 45.45% | 55 | 1.6 | 643 | 10,350 | 40.9% | 48.5% | |
| 48.15% | 54 | 4.8 | 689 | 12,734 | 28.6% | 60.6% | |
| 45.10% | 51 | 5.9 | 717 | 11,883 | 34.5% | 59.1% | |
| 61.22% | 49 | 3.4 | 728 | 11,741 | 55.0% | 65.5% | |
| 45.83% | 48 | 1.6 | 689 | 9,988 | 47.8% | 44.0% | |
| 47.62% | 42 | 1.8 | 642 | 10,080 | 66.7% | 33.3% | |
| 56.41% | 39 | 2.8 | 675 | 12,438 | 57.1% | 56.0% | |
| 44.74% | 38 | 5.9 | 833 | 12,086 | 44.4% | 45.0% | |
| 55.56% | 36 | 2.0 | 717 | 10,675 | 86.7% | 33.3% | |
| 37.14% | 35 | 5.7 | 772 | 11,635 | 30.4% | 50.0% | |
| 58.82% | 34 | 2.3 | 729 | 11,060 | 60.0% | 57.9% | |
| 32.26% | 31 | 5.8 | 814 | 11,636 | 40.0% | 25.0% | |
| 58.62% | 29 | 1.9 | 686 | 11,315 | 50.0% | 61.9% | |
| 53.57% | 28 | 1.7 | 581 | 11,086 | 50.0% | 55.6% | |
| 50.00% | 26 | 1.5 | 584 | 10,733 | 30.0% | 62.5% | |
| 44.00% | 25 | 6.1 | 852 | 12,368 | 40.0% | 50.0% | |
| 60.00% | 25 | 1.6 | 678 | 11,227 | 50.0% | 66.7% | |
| 50.00% | 24 | 1.8 | 682 | 9,537 | 42.9% | 60.0% | |
| 65.22% | 23 | 2.8 | 761 | 9,993 | 61.5% | 70.0% | |
| 40.91% | 22 | 2.3 | 638 | 11,012 | 42.9% | 40.0% | |
| 45.45% | 22 | 6.2 | 812 | 12,655 | 50.0% | 40.0% | |
| 50.00% | 22 | 1.8 | 644 | 9,843 | 46.1% | 55.6% | |
| 52.38% | 21 | 4.2 | 715 | 10,677 | 40.0% | 63.6% | |
| 50.00% | 20 | 5.2 | 802 | 14,002 | 40.0% | 53.3% | |
| 42.11% | 19 | 1.8 | 689 | 10,053 | 55.6% | 30.0% | |
| 44.44% | 18 | 5.9 | 778 | 13,608 | 28.6% | 54.5% | |
| 58.82% | 17 | 2.8 | 737 | 10,921 | 33.3% | 72.7% | |
| 50.00% | 16 | 1.5 | 570 | 8,992 | 44.4% | 57.1% | |
| 56.25% | 16 | 3.5 | 797 | 11,080 | 57.1% | 55.6% | |
| 33.33% | 15 | 1.3 | 603 | 10,619 | 25.0% | 36.4% | |
| 71.43% | 14 | 2.2 | 917 | 12,313 | 60.0% | 77.8% | |
| 50.00% | 14 | 4.9 | 773 | 12,214 | 33.3% | 62.5% | |
| 46.15% | 13 | 1.8 | 636 | 10,775 | 28.6% | 66.7% | |
| 46.15% | 13 | 2.2 | 586 | 9,410 | 25.0% | 80.0% | |
| 61.54% | 13 | 1.8 | 579 | 10,992 | 50.0% | 71.4% | |
| 58.33% | 12 | 3.7 | 748 | 12,372 | 66.7% | 55.6% | |
| 66.67% | 12 | 4.0 | 967 | 9,986 | 50.0% | 83.3% | |
| 33.33% | 12 | 4.3 | 747 | 13,615 | 0.0% | 36.4% | |
| 72.73% | 11 | 3.8 | 696 | 10,626 | 60.0% | 83.3% | |
| 100.00% | 11 | 2.3 | 583 | 11,301 | 100.0% | 100.0% | |
| 45.45% | 11 | 3.9 | 871 | 9,049 | 25.0% | 57.1% | |
| 40.00% | 10 | 4.9 | 815 | 14,644 | 66.7% | 28.6% | |
| 40.00% | 10 | 3.4 | 570 | 9,542 | 50.0% | 33.3% | |
| 20.00% | 10 | 3.1 | 466 | 9,503 | 0.0% | 40.0% | |
| 33.33% | 9 | 4.8 | 749 | 14,283 | 0.0% | 42.9% | |
| 44.44% | 9 | 3.9 | 644 | 10,548 | 42.9% | 50.0% | |
| 44.44% | 9 | 3.9 | 774 | 12,844 | 33.3% | 50.0% | |
| 55.56% | 9 | 3.5 | 795 | 11,887 | 75.0% | 40.0% | |
| 44.44% | 9 | 1.9 | 634 | 9,582 | 50.0% | 33.3% | |
| 62.50% | 8 | 2.6 | 685 | 12,061 | 50.0% | 66.7% | |
| 62.50% | 8 | 4.7 | 979 | 14,485 | 100.0% | 50.0% | |
| 50.00% | 8 | 5.3 | 588 | 9,956 | 50.0% | 50.0% | |
| 75.00% | 8 | 2.4 | 810 | 9,551 | 60.0% | 100.0% | |
| 50.00% | 8 | 4.3 | 867 | 12,031 | 0.0% | 66.7% | |
| 50.00% | 8 | 5.4 | 743 | 10,095 | 60.0% | 33.3% | |
| 50.00% | 8 | 4.8 | 800 | 14,650 | 100.0% | 20.0% | |
| 50.00% | 8 | 4.6 | 790 | 13,064 | 33.3% | 60.0% | |
| 75.00% | 8 | 2.8 | 1,003 | 11,630 | 75.0% | 75.0% | |
| 37.50% | 8 | 2.8 | 682 | 8,529 | 40.0% | 33.3% | |
| 28.57% | 7 | 2.1 | 651 | 10,823 | 33.3% | 25.0% | |
| 14.29% | 7 | 4.6 | 915 | 11,074 | 0.0% | 25.0% | |
| 42.86% | 7 | 3.0 | 735 | 12,102 | 0.0% | 75.0% | |
| 71.43% | 7 | 3.4 | 644 | 10,806 | 50.0% | 80.0% | |
| 14.29% | 7 | 4.8 | 854 | 13,324 | 0.0% | 16.7% | |
| 42.86% | 7 | 4.8 | 734 | 11,519 | 0.0% | 100.0% | |
| 33.33% | 6 | 3.3 | 656 | 12,968 | 0.0% | 33.3% | |
| 66.67% | 6 | 3.7 | 777 | 14,552 | 0.0% | 80.0% | |
| 50.00% | 6 | 5.7 | 792 | 11,627 | 75.0% | 0.0% | |
| 66.67% | 6 | 5.7 | 814 | 13,646 | 50.0% | 75.0% | |
| 60.00% | 5 | 4.6 | 965 | 10,070 | 66.7% | 50.0% | |
| 60.00% | 5 | 4.9 | 650 | 12,304 | 100.0% | 50.0% | |
| 60.00% | 5 | 6.0 | 725 | 10,029 | 100.0% | 33.3% | |
| 100.00% | 5 | 4.2 | 924 | 12,352 | 100.0% | 100.0% | |
| 40.00% | 5 | 6.9 | 906 | 12,226 | 50.0% | 33.3% | |
| 60.00% | 5 | 1.4 | 587 | 11,766 | 50.0% | 66.7% | |
| 60.00% | 5 | 5.1 | 540 | 12,283 | 0.0% | 100.0% | |
| 40.00% | 5 | 5.2 | 925 | 13,819 | 50.0% | 33.3% | |
| 20.00% | 5 | 4.9 | 870 | 13,744 | 0.0% | 20.0% | |
| 40.00% | 5 | 7.3 | 986 | 9,236 | 25.0% | 100.0% | |
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Senna Matchups - Sik Sorulan Sorular
League of Legends'da Senna'in en iyi matchuplari nelerdir?
Senna'in patch 26.10'daki en iyi matchuplari Seraphine, Nami, and Lux'i icerir. Senna 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.
Senna'in en kotu matchuplari nelerdir?
Senna'in en kotu matchuplari Katarina, Ornn, and Ahri'i icerir. Bu sampiyonlar Senna'e karsi avantajli kazanma oranlarina sahiptir ve Senna'in lane'deki zayifliklarini kullanabilir. Tam matchup analizini gormek icin tablodaki bir sampiyon adina tiklayin.
Senna matchup verilerini nasil kontrol ederim?
Senna matchup verilerini tam burada bu sayfada kontrol edebilirsiniz. Matchup tablosu her sampiyona karsi kazanma oranlari ve istatistikleri gosterir. Bu ozel Senna 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 Senna kimi counter yapar?
Senna patch 26.10'da Seraphine, Nami, and Lux'i counter yapar. Bunlar Senna'in en yuksek kazanma oranlari ve en guclu lane performansina sahip oldugu en avantajli matchuplaridir. Herhangi bir ozel Senna matchupunu ayrintili olarak kesfetmek icin yukaridaki matchup seciciyi kullanin.
Lane'de Senna'i kim counter yapar?
Katarina, Ornn, and Ahri patch 26.10 sirasinda lane'de Senna'i counter yapar. Bu sampiyonlar Senna'e karsi en iyi kazanma oranlarina sahiptir. Ayrintili matchup stratejilerini ve onerilen buildleri gormek icin counters sekmesine bakin veya tablodaki bir sampiyona tiklayin.