ShenEslesmeler
League of Legends patch 26.7 Shen eşleşme verileri. Her Shen eşleşmesi için win rate, performans istatistikleri ve en iyi buildler. Shen\'in kimi yendiğini ve koridorda kime kaybettiğini öğrenin.
Shen Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Shen 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.
Shen esleme verileri League of Legends 26.7 yamasi icin. Asagidaki tablo, mevcut metadaki her sampiyona karsi Shen'in kazanma oranini, altin farkini ve performans istatistiklerini gosterir. En iyi Shen 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 |
|---|---|---|---|---|---|---|---|
| 44.38% | 160 | 5.8 | 683 | 10,300 | 38.8% | 50.0% | |
| 56.14% | 114 | 1.6 | 515 | 10,656 | 55.2% | 57.1% | |
| 47.37% | 114 | 5.0 | 639 | 10,470 | 46.9% | 47.7% | |
| 41.86% | 86 | 0.6 | 453 | 10,712 | 38.9% | 44.0% | |
| 55.95% | 84 | 5.5 | 763 | 11,149 | 66.7% | 49.0% | |
| 46.34% | 82 | 3.3 | 795 | 11,265 | 46.1% | 46.5% | |
| 49.37% | 79 | 0.9 | 474 | 11,073 | 54.0% | 45.2% | |
| 53.85% | 78 | 0.8 | 455 | 10,868 | 54.3% | 53.5% | |
| 51.95% | 77 | 4.4 | 590 | 10,574 | 45.7% | 57.1% | |
| 54.55% | 77 | 1.0 | 469 | 11,449 | 57.6% | 52.3% | |
| 44.00% | 75 | 5.3 | 631 | 10,311 | 42.4% | 45.2% | |
| 64.38% | 73 | 0.7 | 467 | 10,891 | 67.6% | 61.1% | |
| 54.17% | 72 | 4.8 | 801 | 11,907 | 53.6% | 54.5% | |
| 47.06% | 68 | 0.6 | 436 | 10,905 | 53.1% | 41.7% | |
| 47.06% | 68 | 3.3 | 575 | 10,973 | 54.8% | 40.5% | |
| 59.70% | 67 | 5.4 | 914 | 11,295 | 57.6% | 61.8% | |
| 61.90% | 63 | 4.1 | 620 | 11,110 | 57.7% | 64.9% | |
| 60.66% | 61 | 4.0 | 506 | 10,465 | 64.3% | 57.6% | |
| 60.00% | 60 | 5.7 | 700 | 11,879 | 48.1% | 69.7% | |
| 49.15% | 59 | 5.8 | 816 | 11,777 | 59.1% | 43.2% | |
| 39.66% | 58 | 6.1 | 753 | 10,477 | 36.7% | 42.9% | |
| 50.88% | 57 | 3.6 | 609 | 10,692 | 58.1% | 42.3% | |
| 52.63% | 57 | 1.1 | 453 | 10,207 | 51.9% | 53.3% | |
| 44.23% | 52 | 4.0 | 759 | 10,008 | 50.0% | 40.0% | |
| 55.77% | 52 | 5.0 | 844 | 11,168 | 61.9% | 51.6% | |
| 51.92% | 52 | 5.1 | 616 | 10,576 | 58.6% | 43.5% | |
| 41.18% | 51 | 6.0 | 607 | 11,184 | 58.3% | 25.9% | |
| 46.94% | 49 | 5.8 | 606 | 11,335 | 52.4% | 42.9% | |
| 56.25% | 48 | 4.8 | 617 | 10,728 | 59.1% | 53.9% | |
| 58.70% | 46 | 5.7 | 630 | 10,324 | 58.3% | 59.1% | |
| 56.82% | 44 | 3.5 | 671 | 10,874 | 56.5% | 57.1% | |
| 56.82% | 44 | 3.5 | 596 | 11,264 | 40.9% | 72.7% | |
| 50.00% | 42 | 5.3 | 534 | 10,422 | 44.4% | 54.2% | |
| 39.02% | 41 | 5.0 | 676 | 10,561 | 31.6% | 45.5% | |
| 58.54% | 41 | 0.7 | 494 | 12,090 | 46.7% | 65.4% | |
| 43.90% | 41 | 4.7 | 535 | 8,418 | 38.7% | 60.0% | |
| 38.46% | 39 | 0.8 | 414 | 9,605 | 45.5% | 29.4% | |
| 61.54% | 39 | 1.8 | 500 | 11,151 | 65.0% | 57.9% | |
| 61.54% | 39 | 0.6 | 470 | 10,719 | 65.0% | 57.9% | |
| 44.74% | 38 | 1.7 | 484 | 10,087 | 41.2% | 47.6% | |
| 52.63% | 38 | 5.5 | 759 | 10,954 | 52.6% | 52.6% | |
| 59.46% | 37 | 5.4 | 593 | 10,942 | 70.6% | 50.0% | |
| 44.44% | 36 | 4.0 | 644 | 10,783 | 40.0% | 47.6% | |
| 27.78% | 36 | 2.3 | 499 | 8,749 | 18.2% | 42.9% | |
| 33.33% | 36 | 0.7 | 432 | 11,433 | 30.0% | 34.6% | |
| 58.33% | 36 | 1.4 | 359 | 8,990 | 33.3% | 76.2% | |
| 50.00% | 34 | 2.3 | 508 | 10,570 | 43.8% | 55.6% | |
| 48.48% | 33 | 2.2 | 593 | 11,677 | 40.0% | 55.6% | |
| 51.52% | 33 | 0.8 | 477 | 11,302 | 43.8% | 58.8% | |
| 50.00% | 32 | 1.0 | 597 | 11,324 | 56.3% | 43.8% | |
| 50.00% | 32 | 5.7 | 573 | 9,993 | 55.0% | 41.7% | |
| 61.29% | 31 | 1.4 | 547 | 9,724 | 64.3% | 58.8% | |
| 43.33% | 30 | 4.8 | 453 | 11,191 | 46.1% | 41.2% | |
| 56.67% | 30 | 5.5 | 697 | 9,067 | 56.5% | 57.1% | |
| 53.33% | 30 | 1.5 | 438 | 9,478 | 50.0% | 55.6% | |
| 53.57% | 28 | 5.3 | 594 | 10,369 | 54.5% | 52.9% | |
| 46.43% | 28 | 5.6 | 755 | 11,658 | 45.5% | 47.1% | |
| 42.86% | 28 | 2.0 | 459 | 10,924 | 25.0% | 50.0% | |
| 50.00% | 28 | 5.6 | 656 | 9,400 | 58.8% | 36.4% | |
| 51.85% | 27 | 1.4 | 500 | 9,574 | 58.3% | 46.7% | |
| 48.15% | 27 | 3.0 | 540 | 11,448 | 66.7% | 38.9% | |
| 48.15% | 27 | 1.3 | 407 | 9,237 | 36.4% | 56.3% | |
| 42.31% | 26 | 1.3 | 545 | 11,798 | 25.0% | 50.0% | |
| 65.38% | 26 | 4.8 | 548 | 9,272 | 66.7% | 60.0% | |
| 56.00% | 25 | 6.6 | 704 | 10,601 | 66.7% | 40.0% | |
| 41.67% | 24 | 1.0 | 576 | 11,733 | 50.0% | 35.7% | |
| 69.57% | 23 | 5.6 | 638 | 10,934 | 72.7% | 66.7% | |
| 60.87% | 23 | 0.7 | 447 | 12,639 | 57.1% | 62.5% | |
| 52.17% | 23 | 0.8 | 479 | 11,177 | 37.5% | 60.0% | |
| 54.55% | 22 | 0.9 | 475 | 11,383 | 66.7% | 46.1% | |
| 61.90% | 21 | 2.9 | 580 | 11,754 | 63.6% | 60.0% | |
| 66.67% | 21 | 0.5 | 504 | 10,736 | 69.2% | 62.5% | |
| 42.86% | 21 | 3.0 | 643 | 10,431 | 22.2% | 58.3% | |
| 55.00% | 20 | 1.3 | 458 | 9,504 | 50.0% | 58.3% | |
| 50.00% | 20 | 1.3 | 517 | 9,662 | 50.0% | 50.0% | |
| 68.42% | 19 | 2.6 | 720 | 11,029 | 62.5% | 72.7% | |
| 52.63% | 19 | 1.4 | 350 | 9,438 | 40.0% | 66.7% | |
| 52.63% | 19 | 0.7 | 483 | 10,941 | 62.5% | 45.5% | |
| 47.37% | 19 | 1.5 | 506 | 10,082 | 63.6% | 25.0% | |
| 44.44% | 18 | 1.2 | 407 | 9,085 | 50.0% | 37.5% | |
| 44.44% | 18 | 1.2 | 450 | 10,781 | 12.5% | 70.0% | |
| 44.44% | 18 | 2.0 | 462 | 9,501 | 55.6% | 33.3% | |
| 55.56% | 18 | 1.3 | 577 | 11,952 | 50.0% | 58.3% | |
| 77.78% | 18 | 1.3 | 421 | 9,232 | 80.0% | 75.0% | |
| 66.67% | 18 | 1.2 | 548 | 11,170 | 63.6% | 71.4% | |
| 47.06% | 17 | 0.8 | 452 | 10,553 | 33.3% | 62.5% | |
| 58.82% | 17 | 2.4 | 592 | 12,374 | 66.7% | 54.5% | |
| 52.94% | 17 | 1.7 | 459 | 10,395 | 28.6% | 70.0% | |
| 68.75% | 16 | 4.9 | 595 | 9,826 | 71.4% | 66.7% | |
| 62.50% | 16 | 1.8 | 653 | 12,473 | 50.0% | 70.0% | |
| 40.00% | 15 | 3.8 | 550 | 10,189 | 40.0% | 40.0% | |
| 53.33% | 15 | 4.8 | 627 | 11,296 | 80.0% | 40.0% | |
| 50.00% | 14 | 2.3 | 497 | 10,372 | 42.9% | 57.1% | |
| 57.14% | 14 | 4.7 | 439 | 9,902 | 33.3% | 75.0% | |
| 42.86% | 14 | 5.5 | 871 | 10,457 | 33.3% | 50.0% | |
| 57.14% | 14 | 1.4 | 499 | 11,065 | 75.0% | 50.0% | |
| 53.85% | 13 | 5.0 | 494 | 8,514 | 33.3% | 100.0% | |
| 38.46% | 13 | 1.8 | 651 | 9,714 | 50.0% | 28.6% | |
| 53.85% | 13 | 4.6 | 573 | 11,914 | 50.0% | 57.1% | |
| 76.92% | 13 | 1.6 | 451 | 10,155 | 77.8% | 75.0% | |
| 46.15% | 13 | 1.3 | 403 | 8,716 | 20.0% | 62.5% | |
| 46.15% | 13 | 1.0 | 444 | 11,116 | 33.3% | 57.1% | |
| 38.46% | 13 | 0.9 | 553 | 10,858 | 62.5% | 0.0% | |
| 50.00% | 12 | 1.4 | 520 | 11,477 | 40.0% | 57.1% | |
| 50.00% | 12 | 1.1 | 501 | 10,572 | 20.0% | 71.4% | |
| 33.33% | 12 | 2.1 | 618 | 10,676 | 50.0% | 16.7% | |
| 36.36% | 11 | 2.2 | 603 | 9,034 | 40.0% | 33.3% | |
| 45.45% | 11 | 1.6 | 432 | 9,389 | 33.3% | 50.0% | |
| 36.36% | 11 | 0.5 | 346 | 9,542 | 50.0% | 20.0% | |
| 36.36% | 11 | 1.1 | 502 | 9,931 | 33.3% | 40.0% | |
| 45.45% | 11 | 6.0 | 629 | 9,299 | 50.0% | 33.3% | |
| 30.00% | 10 | 5.6 | 659 | 10,782 | 28.6% | 33.3% | |
| 80.00% | 10 | 2.1 | 511 | 10,322 | 100.0% | 71.4% | |
| 40.00% | 10 | 5.7 | 526 | 10,462 | 25.0% | 50.0% | |
| 77.78% | 9 | 1.4 | 450 | 11,736 | 100.0% | 75.0% | |
| 66.67% | 9 | 2.7 | 526 | 10,214 | 60.0% | 75.0% | |
| 44.44% | 9 | 1.1 | 455 | 10,176 | 100.0% | 28.6% | |
| 25.00% | 8 | 5.4 | 461 | 8,913 | 16.7% | 50.0% | |
| 50.00% | 8 | 1.7 | 434 | 9,761 | 40.0% | 66.7% | |
| 25.00% | 8 | 2.1 | 367 | 9,265 | 0.0% | 40.0% | |
| 25.00% | 8 | 1.2 | 523 | 8,761 | 33.3% | 20.0% | |
| 62.50% | 8 | 1.1 | 530 | 10,294 | 100.0% | 40.0% | |
| 37.50% | 8 | 1.3 | 445 | 10,155 | 50.0% | 33.3% | |
| 62.50% | 8 | 3.6 | 617 | 13,746 | 100.0% | 57.1% | |
| 0.00% | 7 | 2.9 | 427 | 10,826 | 0.0% | 0.0% | |
| 0.00% | 7 | 4.8 | 623 | 11,860 | 0.0% | 0.0% | |
| 57.14% | 7 | 3.0 | 582 | 11,427 | 50.0% | 60.0% | |
| 16.67% | 6 | 5.0 | 445 | 10,262 | 25.0% | 0.0% | |
| 66.67% | 6 | 6.4 | 681 | 10,105 | 50.0% | 100.0% | |
| 50.00% | 6 | 0.3 | 479 | 10,634 | 75.0% | 0.0% | |
| 0.00% | 6 | 1.8 | 321 | 8,881 | 0.0% | 0.0% | |
| 0.00% | 5 | 1.7 | 443 | 10,315 | 0.0% | 0.0% | |
| 20.00% | 5 | 4.7 | 666 | 11,938 | 0.0% | 33.3% | |
| 40.00% | 5 | 4.8 | 552 | 9,479 | 33.3% | 50.0% | |
| 60.00% | 5 | 1.5 | 447 | 10,961 | 100.0% | 50.0% | |
Doğruluğu korumamıza yardım edin! Yanlış istatistikler, eksik veriler veya herhangi bir sorun fark ederseniz, geri bildiriminiz tüm topluluk için veri kalitemizi doğrudan iyileştirir.
Shen Matchups - Sik Sorulan Sorular
League of Legends'da Shen'in en iyi matchuplari nelerdir?
Shen'in patch 26.7'daki en iyi matchuplari Garen, Shyvana, and Mordekaiser'i icerir. Shen 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.
Shen'in en kotu matchuplari nelerdir?
Shen'in en kotu matchuplari Xerath, Vladimir, and Janna'i icerir. Bu sampiyonlar Shen'e karsi avantajli kazanma oranlarina sahiptir ve Shen'in lane'deki zayifliklarini kullanabilir. Tam matchup analizini gormek icin tablodaki bir sampiyon adina tiklayin.
Shen matchup verilerini nasil kontrol ederim?
Shen matchup verilerini tam burada bu sayfada kontrol edebilirsiniz. Matchup tablosu her sampiyona karsi kazanma oranlari ve istatistikleri gosterir. Bu ozel Shen 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 Shen kimi counter yapar?
Shen patch 26.7'da Garen, Shyvana, and Mordekaiser'i counter yapar. Bunlar Shen'in en yuksek kazanma oranlari ve en guclu lane performansina sahip oldugu en avantajli matchuplaridir. Herhangi bir ozel Shen matchupunu ayrintili olarak kesfetmek icin yukaridaki matchup seciciyi kullanin.
Lane'de Shen'i kim counter yapar?
Xerath, Vladimir, and Janna patch 26.7 sirasinda lane'de Shen'i counter yapar. Bu sampiyonlar Shen'e karsi en iyi kazanma oranlarina sahiptir. Ayrintili matchup stratejilerini ve onerilen buildleri gormek icin counters sekmesine bakin veya tablodaki bir sampiyona tiklayin.