ShenMatchupy
Dane matchupów Shen dla League of Legends patch 26.13. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Shen. Dowiedz się kogo Shen pokonuje i komu przegrywa na linii.
Analiza matchupu Shen
Użyj menu rozwijanego, aby wybrać przeciwnika i zobaczyć szczegółową analizę, jak Shen radzi sobie przeciwko niemu. Otrzymasz wskaźniki wygranych bezpośrednich, statystyki linii, najlepszy build i runy do matchupu oraz analizę wczesnej vs późnej gry — wszystko oparte na prawdziwych danych z rankingu.
Dane matchupow Shen dla patcha 26.13 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 |
|---|---|---|---|---|---|---|---|
| 47.27% | 55 | 5.3 | 607 | 9,375 | 37.0% | 57.1% | |
| 50.94% | 53 | 5.3 | 652 | 9,635 | 52.0% | 50.0% | |
| 38.30% | 47 | 5.2 | 677 | 9,700 | 38.1% | 38.5% | |
| 57.50% | 40 | 5.4 | 680 | 9,705 | 47.4% | 66.7% | |
| 38.89% | 36 | 5.6 | 667 | 10,799 | 46.7% | 33.3% | |
| 55.88% | 34 | 4.7 | 536 | 10,165 | 55.6% | 56.3% | |
| 54.55% | 33 | 5.6 | 614 | 10,272 | 50.0% | 58.8% | |
| 51.72% | 29 | 5.3 | 703 | 12,001 | 50.0% | 52.4% | |
| 65.52% | 29 | 4.7 | 604 | 10,034 | 60.0% | 71.4% | |
| 62.07% | 29 | 4.8 | 612 | 9,880 | 66.7% | 54.5% | |
| 44.83% | 29 | 4.8 | 655 | 10,080 | 27.3% | 55.6% | |
| 64.29% | 28 | 5.2 | 984 | 10,102 | 56.3% | 75.0% | |
| 46.15% | 26 | 5.2 | 941 | 10,810 | 58.3% | 35.7% | |
| 65.38% | 26 | 5.6 | 705 | 11,834 | 50.0% | 72.2% | |
| 53.85% | 26 | 4.9 | 711 | 10,359 | 50.0% | 56.3% | |
| 44.00% | 25 | 4.3 | 724 | 9,185 | 50.0% | 36.4% | |
| 52.00% | 25 | 3.7 | 605 | 9,676 | 41.7% | 61.5% | |
| 62.50% | 24 | 2.9 | 555 | 10,464 | 70.0% | 57.1% | |
| 34.78% | 23 | 5.1 | 784 | 10,054 | 33.3% | 36.4% | |
| 65.22% | 23 | 5.9 | 738 | 11,560 | 87.5% | 53.3% | |
| 36.36% | 22 | 5.7 | 792 | 11,472 | 36.4% | 36.4% | |
| 63.64% | 22 | 5.1 | 606 | 9,693 | 50.0% | 71.4% | |
| 54.55% | 22 | 5.8 | 629 | 11,318 | 37.5% | 64.3% | |
| 68.18% | 22 | 5.8 | 703 | 11,426 | 80.0% | 58.3% | |
| 42.86% | 21 | 5.8 | 606 | 11,143 | 22.2% | 58.3% | |
| 66.67% | 21 | 5.7 | 604 | 10,196 | 80.0% | 54.5% | |
| 42.86% | 21 | 5.1 | 678 | 10,970 | 37.5% | 46.1% | |
| 45.00% | 20 | 1.4 | 430 | 8,361 | 40.0% | 50.0% | |
| 63.16% | 19 | 6.2 | 648 | 10,647 | 66.7% | 60.0% | |
| 47.37% | 19 | 5.9 | 801 | 10,873 | 71.4% | 33.3% | |
| 68.42% | 19 | 1.9 | 532 | 10,204 | 66.7% | 69.2% | |
| 55.56% | 18 | 6.5 | 729 | 12,246 | 80.0% | 46.1% | |
| 55.56% | 18 | 6.2 | 715 | 9,906 | 40.0% | 75.0% | |
| 61.11% | 18 | 5.4 | 809 | 11,237 | 83.3% | 50.0% | |
| 50.00% | 18 | 5.6 | 782 | 9,931 | 60.0% | 37.5% | |
| 47.06% | 17 | 5.1 | 535 | 9,870 | 37.5% | 55.6% | |
| 56.25% | 16 | 5.7 | 713 | 9,013 | 61.5% | 33.3% | |
| 53.33% | 15 | 1.4 | 455 | 10,826 | 80.0% | 40.0% | |
| 33.33% | 15 | 5.3 | 841 | 10,964 | 42.9% | 25.0% | |
| 33.33% | 15 | 6.4 | 562 | 9,402 | 44.4% | 16.7% | |
| 53.33% | 15 | 1.6 | 382 | 7,852 | 60.0% | 40.0% | |
| 42.86% | 14 | 1.5 | 436 | 8,293 | 25.0% | 66.7% | |
| 42.86% | 14 | 1.8 | 512 | 10,983 | 25.0% | 50.0% | |
| 46.15% | 13 | 1.5 | 520 | 11,138 | 40.0% | 50.0% | |
| 61.54% | 13 | 5.4 | 762 | 11,487 | 71.4% | 50.0% | |
| 53.85% | 13 | 5.8 | 515 | 10,584 | 50.0% | 57.1% | |
| 58.33% | 12 | 3.1 | 509 | 10,983 | 50.0% | 62.5% | |
| 66.67% | 12 | 2.6 | 724 | 12,750 | 100.0% | 50.0% | |
| 66.67% | 12 | 1.0 | 443 | 10,894 | 66.7% | 66.7% | |
| 50.00% | 12 | 0.6 | 423 | 8,999 | 60.0% | 42.9% | |
| 36.36% | 11 | 5.0 | 530 | 11,543 | 50.0% | 28.6% | |
| 45.45% | 11 | 5.2 | 563 | 11,380 | 50.0% | 44.4% | |
| 50.00% | 10 | 1.3 | 436 | 7,719 | 42.9% | 66.7% | |
| 40.00% | 10 | 6.0 | 734 | 12,569 | 66.7% | 28.6% | |
| 70.00% | 10 | 5.5 | 634 | 11,113 | 75.0% | 66.7% | |
| 33.33% | 9 | 2.9 | 458 | 8,978 | 40.0% | 25.0% | |
| 55.56% | 9 | 2.4 | 476 | 8,277 | 50.0% | 66.7% | |
| 33.33% | 9 | 1.3 | 517 | 11,364 | 25.0% | 40.0% | |
| 66.67% | 9 | 1.5 | 367 | 9,007 | 75.0% | 60.0% | |
| 55.56% | 9 | 1.5 | 610 | 10,599 | 33.3% | 66.7% | |
| 50.00% | 8 | 2.3 | 536 | 9,004 | 33.3% | 100.0% | |
| 50.00% | 8 | 1.2 | 643 | 13,552 | 100.0% | 42.9% | |
| 37.50% | 8 | 4.0 | 484 | 10,681 | 40.0% | 33.3% | |
| 50.00% | 8 | 5.8 | 649 | 11,189 | 33.3% | 60.0% | |
| 62.50% | 8 | 1.7 | 443 | 7,838 | 60.0% | 66.7% | |
| 50.00% | 8 | 4.8 | 618 | 10,191 | 25.0% | 75.0% | |
| 57.14% | 7 | 3.8 | 576 | 10,913 | 0.0% | 66.7% | |
| 28.57% | 7 | 1.3 | 444 | 9,638 | 50.0% | 20.0% | |
| 71.43% | 7 | 1.3 | 471 | 10,074 | 50.0% | 80.0% | |
| 28.57% | 7 | 2.3 | 387 | 8,441 | 40.0% | 0.0% | |
| 42.86% | 7 | 3.9 | 663 | 11,382 | 33.3% | 50.0% | |
| 50.00% | 6 | 4.5 | 721 | 11,163 | 66.7% | 33.3% | |
| 66.67% | 6 | 2.6 | 630 | 8,899 | 60.0% | 100.0% | |
| 33.33% | 6 | 0.5 | 507 | 11,092 | 66.7% | 0.0% | |
| 66.67% | 6 | 1.3 | 448 | 8,154 | 75.0% | 50.0% | |
| 33.33% | 6 | 0.6 | 636 | 11,111 | 66.7% | 0.0% | |
| 83.33% | 6 | 2.0 | 557 | 8,654 | 100.0% | 66.7% | |
| 66.67% | 6 | 0.4 | 379 | 10,481 | 100.0% | 50.0% | |
| 83.33% | 6 | 3.0 | 800 | 9,753 | 50.0% | 100.0% | |
| 16.67% | 6 | 1.1 | 440 | 11,364 | 0.0% | 20.0% | |
| 66.67% | 6 | 1.7 | 414 | 10,179 | 75.0% | 50.0% | |
| 33.33% | 6 | 5.6 | 720 | 10,073 | 0.0% | 40.0% | |
| 60.00% | 5 | 0.9 | 569 | 3,550 | 60.0% | 0.0% | |
| 60.00% | 5 | 2.8 | 611 | 10,808 | 100.0% | 50.0% | |
| 60.00% | 5 | 5.3 | 598 | 10,601 | 50.0% | 66.7% | |
| 80.00% | 5 | 1.2 | 460 | 8,006 | 66.7% | 100.0% | |
| 80.00% | 5 | 0.3 | 386 | 11,587 | 75.0% | 100.0% | |
| 40.00% | 5 | 6.3 | 956 | 14,274 | 0.0% | 66.7% | |
| 40.00% | 5 | 1.7 | 542 | 11,442 | 0.0% | 40.0% | |
| 40.00% | 5 | 1.4 | 517 | 10,387 | 0.0% | 66.7% | |
| 80.00% | 5 | 2.5 | 638 | 11,097 | 50.0% | 100.0% | |
| 60.00% | 5 | 0.2 | 445 | 10,935 | 66.7% | 50.0% | |
| 20.00% | 5 | 2.6 | 694 | 11,259 | 0.0% | 50.0% | |
| 20.00% | 5 | 5.7 | 508 | 9,340 | 0.0% | 50.0% | |
| 60.00% | 5 | 4.0 | 582 | 11,698 | 100.0% | 50.0% | |
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Matchupy Shen - Czesto zadawane pytania
Jakie sa najlepsze matchupy Shen w League of Legends?
Najlepsze matchupy Shen w patchu 26.13 to Mordekaiser, Garen, and Sett. 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 Mel, Sejuani, and Ahri. 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 Mordekaiser, Garen, and Sett w patchu 26.13. 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?
Mel, Sejuani, and Ahri kontruja Shen na linii w patchu 26.13. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Shen. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.