SylasEslesmeler
League of Legends patch 26.10 Sylas eşleşme verileri. Her Sylas eşleşmesi için win rate, performans istatistikleri ve en iyi buildler. Sylas\'in kimi yendiğini ve koridorda kime kaybettiğini öğrenin.
Sylas Eşleşme Analizi
Bir rakip seçmek ve Sylas'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.
Sylas esleme verileri League of Legends 26.10 yamasi icin. Asagidaki tablo, mevcut metadaki her sampiyona karsi Sylas'in kazanma oranini, altin farkini ve performans istatistiklerini gosterir. En iyi Sylas 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 |
|---|---|---|---|---|---|---|---|
| 52.99% | 269 | 5.3 | 861 | 11,507 | 55.4% | 51.0% | |
| 55.92% | 211 | 5.2 | 871 | 11,444 | 60.8% | 51.8% | |
| 48.08% | 208 | 5.4 | 835 | 11,135 | 45.6% | 50.0% | |
| 48.54% | 206 | 1.0 | 819 | 12,750 | 48.9% | 48.3% | |
| 41.75% | 206 | 5.1 | 841 | 10,249 | 47.2% | 35.7% | |
| 43.02% | 179 | 4.9 | 782 | 11,838 | 48.3% | 40.5% | |
| 50.58% | 172 | 5.0 | 830 | 11,468 | 48.5% | 51.9% | |
| 51.50% | 167 | 5.1 | 879 | 11,606 | 55.2% | 49.0% | |
| 48.39% | 155 | 5.3 | 855 | 10,772 | 48.2% | 48.6% | |
| 57.52% | 153 | 0.9 | 760 | 12,491 | 64.2% | 52.3% | |
| 49.33% | 150 | 0.9 | 724 | 12,736 | 58.2% | 44.2% | |
| 44.59% | 148 | 3.6 | 775 | 11,388 | 50.0% | 40.5% | |
| 42.14% | 140 | 1.0 | 690 | 12,035 | 43.9% | 41.0% | |
| 52.52% | 139 | 3.6 | 880 | 12,169 | 57.7% | 49.4% | |
| 45.11% | 133 | 5.2 | 879 | 11,238 | 50.8% | 40.3% | |
| 51.13% | 133 | 5.4 | 852 | 11,176 | 54.7% | 47.8% | |
| 53.85% | 130 | 5.1 | 802 | 11,243 | 50.0% | 56.3% | |
| 50.00% | 128 | 3.6 | 775 | 10,995 | 48.4% | 51.6% | |
| 51.97% | 127 | 2.6 | 872 | 11,422 | 55.1% | 48.3% | |
| 40.48% | 126 | 0.9 | 674 | 12,173 | 34.6% | 44.6% | |
| 48.33% | 120 | 1.0 | 718 | 12,583 | 50.9% | 46.1% | |
| 44.07% | 118 | 4.3 | 743 | 11,215 | 52.5% | 39.7% | |
| 47.41% | 116 | 0.9 | 724 | 12,837 | 46.8% | 47.8% | |
| 45.69% | 116 | 5.3 | 742 | 10,220 | 47.5% | 43.6% | |
| 47.32% | 112 | 1.1 | 663 | 11,816 | 40.0% | 54.4% | |
| 45.37% | 108 | 1.4 | 756 | 12,397 | 44.9% | 45.8% | |
| 44.34% | 106 | 1.1 | 728 | 11,749 | 46.0% | 42.9% | |
| 51.92% | 104 | 5.4 | 903 | 10,597 | 45.8% | 60.0% | |
| 49.47% | 95 | 5.4 | 998 | 11,142 | 46.5% | 51.9% | |
| 52.17% | 92 | 1.2 | 741 | 12,954 | 50.0% | 53.1% | |
| 41.86% | 86 | 4.0 | 830 | 11,882 | 38.5% | 43.3% | |
| 48.24% | 85 | 5.5 | 816 | 10,354 | 56.3% | 37.8% | |
| 52.44% | 82 | 5.5 | 905 | 12,182 | 54.3% | 51.1% | |
| 64.20% | 81 | 4.8 | 783 | 11,340 | 53.3% | 70.6% | |
| 53.75% | 80 | 3.4 | 866 | 11,375 | 65.0% | 42.5% | |
| 53.85% | 78 | 1.5 | 729 | 12,268 | 61.3% | 48.9% | |
| 47.95% | 73 | 4.8 | 771 | 10,687 | 51.7% | 45.5% | |
| 49.32% | 73 | 5.2 | 772 | 10,719 | 50.0% | 48.6% | |
| 53.52% | 71 | 5.5 | 758 | 11,008 | 52.5% | 54.8% | |
| 55.71% | 70 | 5.1 | 792 | 10,420 | 54.0% | 57.6% | |
| 46.38% | 69 | 0.8 | 682 | 13,188 | 52.6% | 44.0% | |
| 60.87% | 69 | 0.8 | 759 | 12,308 | 71.4% | 50.0% | |
| 54.55% | 66 | 5.2 | 945 | 11,664 | 74.1% | 41.0% | |
| 52.31% | 65 | 5.4 | 854 | 10,646 | 52.9% | 51.6% | |
| 52.31% | 65 | 5.3 | 848 | 10,342 | 53.7% | 50.0% | |
| 42.19% | 64 | 5.5 | 798 | 10,702 | 51.5% | 32.3% | |
| 51.67% | 60 | 2.9 | 763 | 11,450 | 46.7% | 56.7% | |
| 60.00% | 60 | 5.3 | 918 | 11,359 | 60.0% | 60.0% | |
| 57.63% | 59 | 1.0 | 785 | 13,169 | 57.6% | 57.7% | |
| 52.54% | 59 | 1.0 | 764 | 13,524 | 66.7% | 40.6% | |
| 41.38% | 58 | 5.0 | 785 | 11,184 | 25.0% | 50.0% | |
| 42.86% | 56 | 1.2 | 752 | 11,266 | 42.4% | 43.5% | |
| 60.00% | 55 | 4.9 | 789 | 11,052 | 51.9% | 67.9% | |
| 42.59% | 54 | 1.1 | 723 | 11,869 | 53.6% | 30.8% | |
| 52.83% | 53 | 1.5 | 848 | 12,358 | 60.0% | 43.5% | |
| 47.17% | 53 | 4.2 | 839 | 10,461 | 38.5% | 55.6% | |
| 50.94% | 53 | 0.9 | 817 | 12,156 | 40.7% | 61.5% | |
| 52.83% | 53 | 5.3 | 859 | 10,231 | 66.7% | 30.0% | |
| 44.23% | 52 | 0.9 | 758 | 12,182 | 51.7% | 34.8% | |
| 47.06% | 51 | 3.6 | 819 | 12,773 | 64.3% | 40.5% | |
| 50.98% | 51 | 2.6 | 837 | 13,028 | 45.0% | 54.8% | |
| 57.45% | 47 | 1.3 | 764 | 12,982 | 42.1% | 67.9% | |
| 62.79% | 43 | 1.1 | 772 | 12,980 | 69.2% | 60.0% | |
| 44.19% | 43 | 4.5 | 779 | 10,263 | 31.8% | 57.1% | |
| 58.14% | 43 | 4.7 | 870 | 10,924 | 50.0% | 66.7% | |
| 55.81% | 43 | 2.7 | 739 | 12,511 | 65.0% | 47.8% | |
| 40.48% | 42 | 0.9 | 662 | 11,947 | 50.0% | 33.3% | |
| 39.02% | 41 | 5.0 | 800 | 11,631 | 37.5% | 40.0% | |
| 55.00% | 40 | 4.3 | 859 | 11,844 | 60.0% | 52.0% | |
| 30.77% | 39 | 3.6 | 736 | 9,476 | 27.3% | 35.3% | |
| 56.41% | 39 | 5.0 | 839 | 10,386 | 52.4% | 61.1% | |
| 40.54% | 37 | 1.6 | 744 | 12,060 | 38.9% | 42.1% | |
| 52.94% | 34 | 5.7 | 808 | 10,693 | 45.0% | 64.3% | |
| 53.13% | 32 | 2.8 | 802 | 11,182 | 42.9% | 61.1% | |
| 50.00% | 32 | 1.6 | 769 | 11,331 | 56.3% | 43.8% | |
| 46.88% | 32 | 2.8 | 775 | 10,663 | 53.3% | 41.2% | |
| 35.48% | 31 | 2.4 | 752 | 11,800 | 16.7% | 47.4% | |
| 63.33% | 30 | 3.9 | 844 | 12,106 | 77.8% | 57.1% | |
| 36.67% | 30 | 4.3 | 946 | 10,258 | 26.7% | 46.7% | |
| 48.28% | 29 | 4.9 | 873 | 12,449 | 60.0% | 42.1% | |
| 34.48% | 29 | 5.2 | 796 | 11,109 | 40.0% | 28.6% | |
| 41.38% | 29 | 0.9 | 681 | 11,177 | 35.3% | 50.0% | |
| 51.72% | 29 | 3.8 | 807 | 11,278 | 46.7% | 57.1% | |
| 42.86% | 28 | 1.9 | 671 | 9,472 | 50.0% | 35.7% | |
| 55.56% | 27 | 5.6 | 859 | 11,561 | 58.3% | 53.3% | |
| 37.04% | 27 | 5.4 | 852 | 11,177 | 40.0% | 33.3% | |
| 57.69% | 26 | 4.9 | 671 | 9,999 | 54.5% | 60.0% | |
| 46.15% | 26 | 1.0 | 778 | 11,923 | 38.5% | 53.9% | |
| 69.23% | 26 | 0.9 | 659 | 12,252 | 66.7% | 70.6% | |
| 46.15% | 26 | 4.7 | 839 | 12,726 | 50.0% | 43.8% | |
| 44.00% | 25 | 4.5 | 916 | 11,924 | 45.5% | 42.9% | |
| 52.00% | 25 | 3.3 | 818 | 12,349 | 70.0% | 40.0% | |
| 44.00% | 25 | 4.2 | 743 | 10,406 | 50.0% | 38.5% | |
| 40.00% | 25 | 2.4 | 869 | 12,036 | 25.0% | 47.1% | |
| 56.00% | 25 | 3.1 | 1,035 | 12,828 | 60.0% | 53.3% | |
| 58.33% | 24 | 5.4 | 942 | 11,452 | 41.7% | 75.0% | |
| 50.00% | 24 | 1.6 | 687 | 8,860 | 60.0% | 33.3% | |
| 43.48% | 23 | 5.5 | 944 | 13,231 | 28.6% | 50.0% | |
| 17.39% | 23 | 4.9 | 810 | 10,430 | 16.7% | 18.2% | |
| 54.55% | 22 | 1.6 | 794 | 13,840 | 50.0% | 55.6% | |
| 45.45% | 22 | 1.9 | 775 | 11,131 | 71.4% | 33.3% | |
| 35.00% | 20 | 0.9 | 692 | 11,429 | 28.6% | 38.5% | |
| 40.00% | 20 | 4.8 | 662 | 10,911 | 57.1% | 30.8% | |
| 52.63% | 19 | 5.5 | 844 | 10,562 | 50.0% | 57.1% | |
| 42.11% | 19 | 1.0 | 661 | 11,328 | 66.7% | 30.8% | |
| 73.68% | 19 | 1.3 | 761 | 12,552 | 88.9% | 60.0% | |
| 57.89% | 19 | 2.1 | 682 | 11,328 | 63.6% | 50.0% | |
| 57.89% | 19 | 5.0 | 816 | 10,051 | 50.0% | 66.7% | |
| 52.63% | 19 | 3.0 | 1,016 | 13,538 | 57.1% | 50.0% | |
| 57.89% | 19 | 1.3 | 573 | 8,945 | 44.4% | 70.0% | |
| 66.67% | 18 | 4.1 | 924 | 10,012 | 77.8% | 55.6% | |
| 38.89% | 18 | 2.0 | 842 | 12,582 | 14.3% | 54.5% | |
| 41.18% | 17 | 6.4 | 953 | 12,782 | 37.5% | 44.4% | |
| 47.06% | 17 | 2.1 | 642 | 9,553 | 50.0% | 33.3% | |
| 47.06% | 17 | 3.8 | 782 | 12,720 | 75.0% | 38.5% | |
| 47.06% | 17 | 1.6 | 790 | 11,345 | 25.0% | 53.9% | |
| 35.29% | 17 | 1.5 | 598 | 9,460 | 50.0% | 14.3% | |
| 58.82% | 17 | 4.0 | 913 | 12,974 | 75.0% | 53.9% | |
| 47.06% | 17 | 5.3 | 919 | 12,103 | 33.3% | 54.5% | |
| 46.67% | 15 | 1.4 | 940 | 15,096 | 40.0% | 50.0% | |
| 66.67% | 15 | 1.3 | 672 | 10,059 | 62.5% | 71.4% | |
| 46.67% | 15 | 1.9 | 733 | 10,217 | 60.0% | 40.0% | |
| 42.86% | 14 | 1.6 | 745 | 10,549 | 60.0% | 33.3% | |
| 42.86% | 14 | 4.6 | 839 | 10,261 | 33.3% | 60.0% | |
| 71.43% | 14 | 4.0 | 880 | 12,433 | 80.0% | 66.7% | |
| 78.57% | 14 | 6.0 | 842 | 12,262 | 100.0% | 66.7% | |
| 30.77% | 13 | 1.6 | 624 | 8,710 | 22.2% | 50.0% | |
| 69.23% | 13 | 1.5 | 554 | 8,055 | 62.5% | 80.0% | |
| 38.46% | 13 | 4.5 | 906 | 11,658 | 66.7% | 14.3% | |
| 53.85% | 13 | 5.3 | 760 | 11,008 | 40.0% | 62.5% | |
| 53.85% | 13 | 1.9 | 776 | 8,540 | 57.1% | 50.0% | |
| 66.67% | 12 | 3.5 | 1,048 | 12,447 | 100.0% | 33.3% | |
| 54.55% | 11 | 5.0 | 864 | 12,565 | 40.0% | 66.7% | |
| 45.45% | 11 | 4.8 | 598 | 10,702 | 25.0% | 57.1% | |
| 40.00% | 10 | 1.6 | 694 | 10,733 | 50.0% | 37.5% | |
| 10.00% | 10 | 2.6 | 650 | 7,801 | 0.0% | 50.0% | |
| 60.00% | 10 | 1.8 | 768 | 10,791 | 60.0% | 60.0% | |
| 40.00% | 10 | 1.4 | 548 | 9,988 | 50.0% | 33.3% | |
| 40.00% | 10 | 2.2 | 792 | 13,267 | 100.0% | 25.0% | |
| 60.00% | 10 | 2.8 | 906 | 11,752 | 71.4% | 33.3% | |
| 50.00% | 10 | 1.8 | 749 | 10,267 | 20.0% | 80.0% | |
| 55.56% | 9 | 3.7 | 595 | 11,218 | 66.7% | 50.0% | |
| 75.00% | 8 | 2.7 | 919 | 12,837 | 100.0% | 60.0% | |
| 37.50% | 8 | 5.1 | 670 | 10,563 | 50.0% | 33.3% | |
| 12.50% | 8 | 4.9 | 918 | 11,670 | 20.0% | 0.0% | |
| 75.00% | 8 | 1.5 | 837 | 8,429 | 66.7% | 80.0% | |
| 50.00% | 8 | 5.6 | 950 | 8,558 | 40.0% | 66.7% | |
| 62.50% | 8 | 5.5 | 907 | 12,245 | 50.0% | 75.0% | |
| 71.43% | 7 | 1.0 | 712 | 10,966 | 100.0% | 60.0% | |
| 71.43% | 7 | 5.2 | 643 | 9,767 | 50.0% | 100.0% | |
| 57.14% | 7 | 4.3 | 1,019 | 12,006 | 66.7% | 50.0% | |
| 42.86% | 7 | 4.5 | 693 | 9,805 | 25.0% | 66.7% | |
| 28.57% | 7 | 1.3 | 532 | 8,390 | 40.0% | 0.0% | |
| 40.00% | 5 | 5.5 | 662 | 10,961 | 0.0% | 66.7% | |
| 40.00% | 5 | 3.7 | 742 | 10,502 | 50.0% | 33.3% | |
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Sylas Matchups - Sik Sorulan Sorular
League of Legends'da Sylas'in en iyi matchuplari nelerdir?
Sylas'in patch 26.10'daki en iyi matchuplari Ahri, Malphite, and Yasuo'i icerir. Sylas 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.
Sylas'in en kotu matchuplari nelerdir?
Sylas'in en kotu matchuplari Camille, Corki, and Singed'i icerir. Bu sampiyonlar Sylas'e karsi avantajli kazanma oranlarina sahiptir ve Sylas'in lane'deki zayifliklarini kullanabilir. Tam matchup analizini gormek icin tablodaki bir sampiyon adina tiklayin.
Sylas matchup verilerini nasil kontrol ederim?
Sylas matchup verilerini tam burada bu sayfada kontrol edebilirsiniz. Matchup tablosu her sampiyona karsi kazanma oranlari ve istatistikleri gosterir. Bu ozel Sylas 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 Sylas kimi counter yapar?
Sylas patch 26.10'da Ahri, Malphite, and Yasuo'i counter yapar. Bunlar Sylas'in en yuksek kazanma oranlari ve en guclu lane performansina sahip oldugu en avantajli matchuplaridir. Herhangi bir ozel Sylas matchupunu ayrintili olarak kesfetmek icin yukaridaki matchup seciciyi kullanin.
Lane'de Sylas'i kim counter yapar?
Camille, Corki, and Singed patch 26.10 sirasinda lane'de Sylas'i counter yapar. Bu sampiyonlar Sylas'e karsi en iyi kazanma oranlarina sahiptir. Ayrintili matchup stratejilerini ve onerilen buildleri gormek icin counters sekmesine bakin veya tablodaki bir sampiyona tiklayin.