ShenMatchupy
Dane matchupów Shen dla League of Legends patch 26.7. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Shen. Dowiedz się kogo Shen pokonuje i komu przegrywa na linii.
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.
Dane matchupow Shen dla patcha 26.7 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Shen, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Shen, runy, statystyki liniowe i analize wczesnej vs poznej gry dla tego konkretnego matchupu.
Przeciwnik | Winrate | Mecze | CS/min | OBR/min | Zloto/mecz | Wczesne WR | Pozne WR |
|---|---|---|---|---|---|---|---|
| 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% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Shen - Czesto zadawane pytania
Jakie sa najlepsze matchupy Shen w League of Legends?
Najlepsze matchupy Shen w patchu 26.7 to Garen, Shyvana, and Mordekaiser. Shen ma najwyzsze wskazniki zwyciestwa przeciwko tym czempionom i moze dominowac na linii, gdy sie z nimi mierzy. Wybierz dowolnego przeciwnika z tabeli matchupow, aby zobaczyc szczegolowe statystyki.
Jakie sa najgorsze matchupy Shen?
Najgorsze matchupy Shen to Xerath, Vladimir, and Janna. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Shen i moga wykorzystac slabosci Shen na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Shen?
Mozesz sprawdzic dane matchupow Shen wlasnie tutaj na tej stronie. Tabela matchupow pokazuje wskazniki zwyciestwa i statystyki przeciwko kazdemu czempionowi. Kliknij dowolna nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build, runy, statystyki linii i analize early vs late game dla tego konkretnego matchupu Shen.
Kogo kontruje Shen w League of Legends?
Shen kontruje Garen, Shyvana, and Mordekaiser w patchu 26.7. To sa najbardziej korzystne matchupy Shen, gdzie Shen ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Shen w szczegolach.
Kto kontruje Shen na linii?
Xerath, Vladimir, and Janna kontruja Shen na linii w patchu 26.7. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Shen. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.