ZileanMatchupy
Dane matchupów Zilean dla League of Legends patch 26.4. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Zilean. Dowiedz się kogo Zilean pokonuje i komu przegrywa na linii.
Zilean Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Zilean 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 Zilean dla patcha 26.4 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Zilean, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Zilean, 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 |
|---|---|---|---|---|---|---|---|
| 46.72% | 247 | 1.4 | 329 | 8,844 | 53.7% | 41.2% | |
| 52.00% | 150 | 1.4 | 361 | 8,750 | 54.3% | 49.3% | |
| 50.37% | 135 | 1.4 | 364 | 8,347 | 49.3% | 51.7% | |
| 57.14% | 119 | 1.5 | 371 | 9,037 | 58.7% | 55.4% | |
| 50.85% | 119 | 1.9 | 386 | 9,523 | 39.6% | 58.6% | |
| 45.30% | 117 | 1.4 | 285 | 8,371 | 37.3% | 53.5% | |
| 48.18% | 110 | 1.4 | 325 | 8,935 | 53.6% | 42.6% | |
| 50.48% | 107 | 1.6 | 428 | 9,083 | 50.0% | 50.9% | |
| 52.43% | 105 | 1.5 | 383 | 9,151 | 48.8% | 55.0% | |
| 50.49% | 103 | 1.3 | 363 | 8,977 | 53.2% | 48.2% | |
| 46.60% | 103 | 1.3 | 330 | 8,645 | 46.8% | 46.4% | |
| 40.00% | 100 | 1.4 | 335 | 8,545 | 38.8% | 41.2% | |
| 55.21% | 96 | 1.7 | 413 | 9,146 | 65.8% | 47.3% | |
| 56.84% | 95 | 1.4 | 421 | 8,932 | 67.4% | 48.1% | |
| 53.19% | 94 | 1.5 | 340 | 9,504 | 52.6% | 53.6% | |
| 59.52% | 84 | 1.8 | 389 | 9,837 | 51.6% | 64.2% | |
| 52.56% | 79 | 1.3 | 255 | 8,035 | 54.5% | 50.0% | |
| 44.93% | 69 | 1.5 | 347 | 9,310 | 41.9% | 47.4% | |
| 50.82% | 61 | 1.5 | 376 | 9,523 | 73.9% | 36.8% | |
| 48.33% | 60 | 2.2 | 436 | 8,762 | 51.7% | 45.2% | |
| 52.73% | 55 | 1.3 | 378 | 9,094 | 48.1% | 57.1% | |
| 54.72% | 53 | 1.4 | 365 | 8,737 | 55.6% | 53.9% | |
| 42.31% | 52 | 1.3 | 329 | 8,413 | 37.5% | 46.4% | |
| 47.06% | 51 | 2.0 | 319 | 9,126 | 47.6% | 46.7% | |
| 52.94% | 51 | 1.8 | 449 | 8,931 | 43.5% | 60.7% | |
| 38.30% | 47 | 1.4 | 375 | 8,715 | 28.6% | 46.1% | |
| 63.64% | 44 | 1.3 | 327 | 9,083 | 68.0% | 57.9% | |
| 51.28% | 39 | 2.0 | 454 | 9,175 | 55.0% | 47.4% | |
| 54.05% | 37 | 2.4 | 376 | 9,880 | 45.5% | 57.7% | |
| 57.14% | 35 | 1.3 | 347 | 8,988 | 46.7% | 65.0% | |
| 42.86% | 35 | 2.4 | 383 | 10,063 | 20.0% | 52.0% | |
| 46.88% | 32 | 1.9 | 352 | 8,813 | 40.0% | 52.9% | |
| 48.39% | 31 | 1.3 | 334 | 8,893 | 52.9% | 42.9% | |
| 46.43% | 28 | 3.9 | 486 | 9,733 | 43.8% | 50.0% | |
| 55.56% | 27 | 5.9 | 534 | 10,364 | 56.3% | 54.5% | |
| 50.00% | 24 | 1.5 | 390 | 8,345 | 40.0% | 66.7% | |
| 57.89% | 19 | 3.6 | 581 | 10,178 | 66.7% | 50.0% | |
| 47.06% | 17 | 2.2 | 362 | 9,016 | 33.3% | 62.5% | |
| 52.94% | 17 | 2.7 | 453 | 9,760 | 71.4% | 40.0% | |
| 50.00% | 16 | 1.6 | 406 | 8,584 | 66.7% | 40.0% | |
| 62.50% | 16 | 2.7 | 470 | 10,452 | 57.1% | 66.7% | |
| 60.00% | 15 | 2.6 | 442 | 10,507 | 60.0% | 60.0% | |
| 46.67% | 15 | 1.5 | 333 | 10,142 | 75.0% | 36.4% | |
| 42.86% | 14 | 3.7 | 489 | 8,770 | 33.3% | 60.0% | |
| 53.85% | 13 | 5.5 | 485 | 10,847 | 75.0% | 44.4% | |
| 75.00% | 12 | 6.5 | 595 | 9,328 | 75.0% | 75.0% | |
| 58.33% | 12 | 3.4 | 566 | 10,334 | 60.0% | 57.1% | |
| 75.00% | 12 | 2.7 | 500 | 9,649 | 50.0% | 100.0% | |
| 58.33% | 12 | 4.4 | 593 | 11,593 | 20.0% | 85.7% | |
| 50.00% | 12 | 3.6 | 428 | 9,740 | 60.0% | 42.9% | |
| 90.91% | 11 | 6.0 | 464 | 10,651 | 100.0% | 75.0% | |
| 63.64% | 11 | 5.5 | 584 | 9,539 | 50.0% | 80.0% | |
| 36.36% | 11 | 5.7 | 502 | 9,768 | 50.0% | 20.0% | |
| 50.00% | 10 | 3.3 | 521 | 8,558 | 66.7% | 25.0% | |
| 30.00% | 10 | 1.2 | 260 | 7,797 | 33.3% | 25.0% | |
| 60.00% | 10 | 6.4 | 622 | 11,893 | 75.0% | 50.0% | |
| 60.00% | 10 | 5.5 | 431 | 10,282 | 50.0% | 75.0% | |
| 44.44% | 10 | 6.5 | 729 | 12,818 | 50.0% | 42.9% | |
| 55.56% | 9 | 4.1 | 526 | 11,572 | 50.0% | 57.1% | |
| 62.50% | 8 | 4.2 | 563 | 11,811 | 50.0% | 66.7% | |
| 75.00% | 8 | 5.9 | 607 | 12,112 | 50.0% | 83.3% | |
| 37.50% | 8 | 2.1 | 453 | 9,197 | 0.0% | 60.0% | |
| 25.00% | 8 | 5.8 | 539 | 12,200 | 0.0% | 28.6% | |
| 71.43% | 7 | 6.6 | 602 | 11,261 | 100.0% | 50.0% | |
| 57.14% | 7 | 5.1 | 459 | 8,898 | 33.3% | 75.0% | |
| 71.43% | 7 | 2.7 | 447 | 9,788 | 75.0% | 66.7% | |
| 28.57% | 7 | 3.5 | 672 | 10,627 | 50.0% | 20.0% | |
| 0.00% | 7 | 5.9 | 580 | 11,028 | 0.0% | 0.0% | |
| 42.86% | 7 | 2.7 | 353 | 9,105 | 33.3% | 50.0% | |
| 71.43% | 7 | 6.1 | 698 | 11,311 | 66.7% | 75.0% | |
| 66.67% | 6 | 4.0 | 344 | 9,343 | 33.3% | 100.0% | |
| 50.00% | 6 | 5.8 | 469 | 11,305 | 50.0% | 50.0% | |
| 33.33% | 6 | 5.7 | 572 | 8,893 | 25.0% | 50.0% | |
| 16.67% | 6 | 6.1 | 392 | 8,534 | 0.0% | 25.0% | |
| 66.67% | 6 | 4.3 | 595 | 12,222 | 50.0% | 75.0% | |
| 16.67% | 6 | 6.2 | 798 | 8,927 | 0.0% | 33.3% | |
| 33.33% | 6 | 6.5 | 605 | 9,357 | 50.0% | 0.0% | |
| 50.00% | 6 | 4.0 | 429 | 10,744 | 33.3% | 66.7% | |
| 33.33% | 6 | 6.9 | 428 | 8,136 | 40.0% | 0.0% | |
| 60.00% | 5 | 4.8 | 424 | 6,796 | 66.7% | 50.0% | |
| 60.00% | 5 | 5.4 | 587 | 11,227 | 0.0% | 75.0% | |
| 20.00% | 5 | 6.0 | 460 | 9,634 | 0.0% | 50.0% | |
| 20.00% | 5 | 4.4 | 613 | 7,376 | 25.0% | 0.0% | |
| 0.00% | 5 | 6.4 | 557 | 6,841 | 0.0% | 0.0% | |
| 40.00% | 5 | 2.4 | 469 | 9,959 | 0.0% | 50.0% | |
| 60.00% | 5 | 5.5 | 533 | 10,326 | 100.0% | 50.0% | |
| 60.00% | 5 | 6.1 | 497 | 10,621 | 100.0% | 33.3% | |
| 80.00% | 5 | 2.2 | 474 | 9,120 | 100.0% | 66.7% | |
| 40.00% | 5 | 4.5 | 445 | 9,473 | 50.0% | 33.3% | |
| 20.00% | 5 | 3.5 | 403 | 10,057 | 0.0% | 25.0% | |
| 80.00% | 5 | 1.7 | 329 | 8,853 | 66.7% | 100.0% | |
| 60.00% | 5 | 4.5 | 546 | 10,085 | 33.3% | 100.0% | |
| 60.00% | 5 | 3.8 | 469 | 10,141 | 66.7% | 50.0% | |
| 40.00% | 5 | 1.5 | 457 | 10,106 | 50.0% | 33.3% | |
| 40.00% | 5 | 1.4 | 240 | 10,105 | 0.0% | 66.7% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Zilean - Czesto zadawane pytania
Jakie sa najlepsze matchupy Zilean w League of Legends?
Najlepsze matchupy Zilean w patchu 26.4 to Nami, Thresh, and Sona. Zilean 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 Zilean?
Najgorsze matchupy Zilean to Katarina, Garen, and Vex. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Zilean i moga wykorzystac slabosci Zilean na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Zilean?
Mozesz sprawdzic dane matchupow Zilean 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 Zilean.
Kogo kontruje Zilean w League of Legends?
Zilean kontruje Nami, Thresh, and Sona w patchu 26.4. To sa najbardziej korzystne matchupy Zilean, gdzie Zilean ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Zilean w szczegolach.
Kto kontruje Zilean na linii?
Katarina, Garen, and Vex kontruja Zilean na linii w patchu 26.4. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Zilean. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.