Tahm KenchEslesmeler
League of Legends patch 26.11 Tahm Kench eşleşme verileri. Her Tahm Kench eşleşmesi için win rate, performans istatistikleri ve en iyi buildler. Tahm Kench\'in kimi yendiğini ve koridorda kime kaybettiğini öğrenin.
Tahm Kench Eşleşme Analizi
Bir rakip seçmek ve Tahm Kench'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.
Tahm Kench esleme verileri League of Legends 26.11 yamasi icin. Asagidaki tablo, mevcut metadaki her sampiyona karsi Tahm Kench'in kazanma oranini, altin farkini ve performans istatistiklerini gosterir. En iyi Tahm Kench 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 |
|---|---|---|---|---|---|---|---|
| 49.45% | 182 | 1.6 | 546 | 9,467 | 47.3% | 50.9% | |
| 50.29% | 171 | 1.4 | 597 | 9,277 | 53.0% | 47.7% | |
| 50.30% | 169 | 1.4 | 581 | 9,884 | 55.6% | 47.8% | |
| 52.47% | 162 | 1.2 | 599 | 9,109 | 51.9% | 53.1% | |
| 44.65% | 159 | 1.4 | 601 | 9,632 | 44.0% | 45.2% | |
| 43.36% | 143 | 1.4 | 583 | 9,517 | 34.9% | 50.6% | |
| 50.41% | 123 | 5.0 | 731 | 10,697 | 51.0% | 50.0% | |
| 53.78% | 119 | 1.4 | 502 | 9,154 | 54.0% | 53.6% | |
| 40.17% | 117 | 5.7 | 864 | 11,365 | 46.8% | 35.7% | |
| 53.21% | 109 | 1.2 | 562 | 8,747 | 66.7% | 40.0% | |
| 41.12% | 107 | 4.9 | 837 | 10,904 | 30.6% | 46.5% | |
| 57.00% | 100 | 1.4 | 573 | 9,535 | 62.0% | 52.0% | |
| 50.52% | 97 | 1.5 | 573 | 10,052 | 53.9% | 48.3% | |
| 47.42% | 97 | 2.6 | 722 | 10,796 | 63.4% | 35.7% | |
| 62.77% | 94 | 5.0 | 854 | 11,352 | 60.0% | 64.8% | |
| 47.73% | 88 | 5.2 | 895 | 11,410 | 43.6% | 51.0% | |
| 53.41% | 88 | 5.3 | 956 | 10,436 | 45.6% | 61.9% | |
| 54.88% | 82 | 1.4 | 629 | 10,085 | 56.5% | 54.2% | |
| 44.44% | 81 | 1.5 | 702 | 9,037 | 46.1% | 42.9% | |
| 46.67% | 75 | 1.4 | 565 | 9,567 | 54.0% | 39.5% | |
| 47.95% | 73 | 5.3 | 767 | 10,579 | 51.4% | 44.7% | |
| 47.83% | 69 | 1.5 | 499 | 9,118 | 46.4% | 48.8% | |
| 46.38% | 69 | 4.4 | 836 | 10,948 | 30.8% | 55.8% | |
| 41.79% | 67 | 1.2 | 560 | 8,920 | 46.9% | 37.1% | |
| 48.44% | 64 | 1.2 | 584 | 8,892 | 44.1% | 53.3% | |
| 46.03% | 63 | 5.1 | 805 | 10,138 | 35.7% | 54.3% | |
| 54.10% | 61 | 1.3 | 599 | 9,227 | 56.5% | 52.6% | |
| 46.55% | 58 | 1.1 | 568 | 8,785 | 46.1% | 46.9% | |
| 45.61% | 57 | 1.4 | 583 | 9,662 | 38.9% | 48.7% | |
| 50.88% | 57 | 5.6 | 847 | 11,268 | 41.4% | 60.7% | |
| 38.60% | 57 | 5.3 | 1,197 | 9,872 | 42.9% | 31.8% | |
| 44.64% | 56 | 5.2 | 910 | 10,321 | 41.7% | 46.9% | |
| 35.19% | 54 | 5.2 | 698 | 9,772 | 25.9% | 44.4% | |
| 50.00% | 54 | 1.9 | 651 | 10,302 | 47.8% | 51.6% | |
| 50.98% | 51 | 1.3 | 600 | 9,757 | 51.9% | 50.0% | |
| 62.00% | 50 | 1.3 | 559 | 8,430 | 60.0% | 65.0% | |
| 46.94% | 49 | 1.2 | 583 | 9,562 | 60.9% | 34.6% | |
| 54.17% | 48 | 5.3 | 678 | 9,957 | 48.1% | 61.9% | |
| 45.83% | 48 | 5.5 | 915 | 10,731 | 37.9% | 57.9% | |
| 64.58% | 48 | 5.3 | 960 | 10,530 | 68.2% | 61.5% | |
| 57.45% | 47 | 1.4 | 716 | 10,728 | 57.1% | 57.7% | |
| 55.32% | 47 | 1.9 | 744 | 9,801 | 72.0% | 36.4% | |
| 41.30% | 46 | 5.8 | 980 | 11,305 | 47.8% | 34.8% | |
| 53.33% | 45 | 5.2 | 700 | 11,231 | 35.7% | 61.3% | |
| 46.67% | 45 | 5.5 | 755 | 10,209 | 54.5% | 39.1% | |
| 55.56% | 45 | 5.0 | 878 | 10,361 | 60.0% | 52.0% | |
| 33.33% | 45 | 4.9 | 784 | 10,027 | 36.4% | 30.4% | |
| 51.11% | 45 | 5.5 | 874 | 9,609 | 48.3% | 56.3% | |
| 55.56% | 45 | 5.5 | 797 | 11,111 | 66.7% | 48.1% | |
| 52.27% | 44 | 5.7 | 964 | 11,956 | 55.0% | 50.0% | |
| 55.81% | 43 | 3.7 | 727 | 10,936 | 72.2% | 44.0% | |
| 48.78% | 41 | 1.3 | 602 | 9,394 | 45.0% | 52.4% | |
| 58.54% | 41 | 1.2 | 570 | 9,241 | 47.4% | 68.2% | |
| 58.97% | 39 | 5.4 | 891 | 10,928 | 50.0% | 66.7% | |
| 29.73% | 37 | 1.5 | 528 | 8,045 | 20.0% | 41.2% | |
| 48.65% | 37 | 5.2 | 816 | 11,289 | 43.8% | 52.4% | |
| 45.95% | 37 | 5.6 | 914 | 12,036 | 38.5% | 50.0% | |
| 41.67% | 36 | 1.4 | 525 | 8,434 | 40.9% | 42.9% | |
| 62.86% | 35 | 5.2 | 928 | 11,655 | 78.6% | 52.4% | |
| 44.12% | 34 | 4.6 | 546 | 9,843 | 46.7% | 42.1% | |
| 48.48% | 33 | 1.4 | 457 | 8,651 | 61.5% | 40.0% | |
| 37.50% | 32 | 5.2 | 627 | 9,405 | 35.7% | 38.9% | |
| 56.25% | 32 | 5.2 | 925 | 11,704 | 40.0% | 70.6% | |
| 50.00% | 30 | 5.2 | 932 | 11,167 | 61.5% | 41.2% | |
| 24.14% | 29 | 5.0 | 927 | 10,827 | 8.3% | 35.3% | |
| 51.72% | 29 | 5.0 | 835 | 10,086 | 50.0% | 53.9% | |
| 39.29% | 28 | 1.5 | 484 | 8,614 | 50.0% | 31.3% | |
| 51.85% | 27 | 5.2 | 961 | 10,935 | 46.7% | 58.3% | |
| 64.00% | 25 | 5.7 | 1,001 | 12,643 | 42.9% | 72.2% | |
| 62.50% | 24 | 4.5 | 956 | 12,124 | 71.4% | 58.8% | |
| 45.83% | 24 | 2.0 | 600 | 10,840 | 57.1% | 41.2% | |
| 43.48% | 23 | 4.7 | 619 | 10,346 | 43.8% | 42.9% | |
| 52.17% | 23 | 4.8 | 817 | 13,000 | 40.0% | 55.6% | |
| 40.91% | 22 | 5.3 | 815 | 11,535 | 28.6% | 46.7% | |
| 45.45% | 22 | 5.3 | 979 | 14,325 | 57.1% | 40.0% | |
| 45.45% | 22 | 5.0 | 851 | 11,086 | 62.5% | 35.7% | |
| 40.00% | 20 | 5.0 | 636 | 10,047 | 16.7% | 50.0% | |
| 70.00% | 20 | 4.2 | 757 | 10,210 | 81.8% | 55.6% | |
| 45.00% | 20 | 1.5 | 620 | 8,146 | 70.0% | 20.0% | |
| 63.16% | 19 | 4.1 | 947 | 11,925 | 57.1% | 66.7% | |
| 57.89% | 19 | 5.7 | 795 | 11,935 | 50.0% | 71.4% | |
| 47.37% | 19 | 1.2 | 459 | 9,521 | 57.1% | 41.7% | |
| 55.56% | 18 | 5.5 | 881 | 13,725 | 60.0% | 53.9% | |
| 50.00% | 18 | 4.9 | 798 | 10,783 | 63.6% | 28.6% | |
| 41.18% | 17 | 2.4 | 721 | 9,360 | 44.4% | 37.5% | |
| 58.82% | 17 | 5.3 | 1,002 | 11,212 | 71.4% | 50.0% | |
| 23.53% | 17 | 3.9 | 717 | 11,006 | 20.0% | 25.0% | |
| 64.71% | 17 | 3.4 | 655 | 10,902 | 50.0% | 72.7% | |
| 52.94% | 17 | 5.3 | 856 | 11,375 | 50.0% | 55.6% | |
| 52.94% | 17 | 5.2 | 735 | 12,243 | 66.7% | 45.5% | |
| 43.75% | 16 | 2.3 | 651 | 8,938 | 44.4% | 42.9% | |
| 56.25% | 16 | 5.2 | 947 | 13,220 | 37.5% | 75.0% | |
| 31.25% | 16 | 5.0 | 696 | 10,383 | 37.5% | 25.0% | |
| 37.50% | 16 | 3.5 | 717 | 10,015 | 28.6% | 44.4% | |
| 43.75% | 16 | 5.0 | 876 | 12,559 | 50.0% | 40.0% | |
| 64.29% | 14 | 4.1 | 776 | 10,998 | 66.7% | 60.0% | |
| 21.43% | 14 | 5.5 | 741 | 9,775 | 42.9% | 0.0% | |
| 78.57% | 14 | 4.4 | 613 | 11,142 | 100.0% | 66.7% | |
| 53.85% | 13 | 2.4 | 517 | 10,335 | 66.7% | 42.9% | |
| 38.46% | 13 | 5.4 | 893 | 12,324 | 33.3% | 42.9% | |
| 25.00% | 12 | 5.8 | 792 | 11,227 | 40.0% | 14.3% | |
| 45.45% | 11 | 3.1 | 620 | 9,405 | 60.0% | 33.3% | |
| 81.82% | 11 | 3.9 | 782 | 10,996 | 80.0% | 83.3% | |
| 54.55% | 11 | 2.0 | 722 | 9,517 | 40.0% | 66.7% | |
| 63.64% | 11 | 5.7 | 908 | 12,052 | 66.7% | 62.5% | |
| 36.36% | 11 | 2.1 | 630 | 10,850 | 50.0% | 28.6% | |
| 60.00% | 10 | 4.8 | 816 | 9,161 | 66.7% | 50.0% | |
| 77.78% | 9 | 2.6 | 977 | 11,904 | 75.0% | 80.0% | |
| 55.56% | 9 | 5.1 | 771 | 10,617 | 66.7% | 50.0% | |
| 44.44% | 9 | 1.3 | 656 | 8,941 | 42.9% | 50.0% | |
| 55.56% | 9 | 3.7 | 779 | 12,099 | 50.0% | 60.0% | |
| 50.00% | 8 | 4.7 | 895 | 14,182 | 0.0% | 50.0% | |
| 50.00% | 8 | 5.7 | 616 | 8,821 | 0.0% | 100.0% | |
| 75.00% | 8 | 2.8 | 712 | 11,441 | 100.0% | 60.0% | |
| 62.50% | 8 | 2.4 | 789 | 12,670 | 100.0% | 57.1% | |
| 25.00% | 8 | 5.4 | 697 | 8,161 | 16.7% | 50.0% | |
| 37.50% | 8 | 4.9 | 864 | 10,872 | 0.0% | 50.0% | |
| 75.00% | 8 | 5.0 | 856 | 7,111 | 71.4% | 100.0% | |
| 42.86% | 7 | 5.0 | 680 | 8,370 | 40.0% | 50.0% | |
| 71.43% | 7 | 4.7 | 809 | 9,028 | 100.0% | 50.0% | |
| 71.43% | 7 | 1.3 | 536 | 11,689 | 0.0% | 71.4% | |
| 57.14% | 7 | 1.6 | 584 | 8,328 | 75.0% | 33.3% | |
| 57.14% | 7 | 3.1 | 602 | 12,030 | 50.0% | 60.0% | |
| 42.86% | 7 | 2.1 | 790 | 9,471 | 40.0% | 50.0% | |
| 66.67% | 6 | 4.1 | 662 | 10,755 | 66.7% | 66.7% | |
| 33.33% | 6 | 4.5 | 732 | 11,746 | 50.0% | 0.0% | |
| 80.00% | 5 | 4.2 | 756 | 10,456 | 50.0% | 100.0% | |
| 40.00% | 5 | 2.6 | 653 | 10,154 | 33.3% | 50.0% | |
| 100.00% | 5 | 4.6 | 912 | 13,360 | 100.0% | 100.0% | |
| 80.00% | 5 | 4.8 | 860 | 12,128 | 100.0% | 75.0% | |
| 40.00% | 5 | 3.9 | 929 | 13,391 | 100.0% | 25.0% | |
| 60.00% | 5 | 3.3 | 670 | 12,717 | 0.0% | 100.0% | |
| 40.00% | 5 | 5.0 | 700 | 8,075 | 33.3% | 50.0% | |
| 60.00% | 5 | 4.5 | 901 | 11,460 | 100.0% | 33.3% | |
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Tahm Kench Matchups - Sik Sorulan Sorular
League of Legends'da Tahm Kench'in en iyi matchuplari nelerdir?
Tahm Kench'in patch 26.11'daki en iyi matchuplari Lux, Nautilus, and Seraphine'i icerir. Tahm Kench 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.
Tahm Kench'in en kotu matchuplari nelerdir?
Tahm Kench'in en kotu matchuplari Vladimir, Sylas, and Cho'Gath'i icerir. Bu sampiyonlar Tahm Kench'e karsi avantajli kazanma oranlarina sahiptir ve Tahm Kench'in lane'deki zayifliklarini kullanabilir. Tam matchup analizini gormek icin tablodaki bir sampiyon adina tiklayin.
Tahm Kench matchup verilerini nasil kontrol ederim?
Tahm Kench matchup verilerini tam burada bu sayfada kontrol edebilirsiniz. Matchup tablosu her sampiyona karsi kazanma oranlari ve istatistikleri gosterir. Bu ozel Tahm Kench 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 Tahm Kench kimi counter yapar?
Tahm Kench patch 26.11'da Lux, Nautilus, and Seraphine'i counter yapar. Bunlar Tahm Kench'in en yuksek kazanma oranlari ve en guclu lane performansina sahip oldugu en avantajli matchuplaridir. Herhangi bir ozel Tahm Kench matchupunu ayrintili olarak kesfetmek icin yukaridaki matchup seciciyi kullanin.
Lane'de Tahm Kench'i kim counter yapar?
Vladimir, Sylas, and Cho'Gath patch 26.11 sirasinda lane'de Tahm Kench'i counter yapar. Bu sampiyonlar Tahm Kench'e karsi en iyi kazanma oranlarina sahiptir. Ayrintili matchup stratejilerini ve onerilen buildleri gormek icin counters sekmesine bakin veya tablodaki bir sampiyona tiklayin.