ThreshMatchupy
Dane matchupów Thresh dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Thresh. Dowiedz się kogo Thresh pokonuje i komu przegrywa na linii.
Thresh Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Thresh 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 Thresh dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Thresh, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Thresh, 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 |
|---|---|---|---|---|---|---|---|
| 45.71% | 711 | 1.1 | 321 | 8,475 | 44.5% | 46.7% | |
| 49.19% | 618 | 1.2 | 335 | 8,541 | 53.0% | 46.0% | |
| 50.76% | 526 | 1.1 | 317 | 8,873 | 43.5% | 55.8% | |
| 52.19% | 525 | 1.1 | 354 | 8,694 | 48.6% | 55.4% | |
| 46.17% | 470 | 1.1 | 338 | 8,611 | 49.8% | 43.0% | |
| 42.42% | 429 | 1.1 | 362 | 8,548 | 46.7% | 38.8% | |
| 50.13% | 379 | 1.2 | 323 | 8,696 | 45.1% | 54.4% | |
| 44.51% | 346 | 1.2 | 333 | 8,996 | 40.8% | 46.8% | |
| 52.90% | 310 | 1.2 | 315 | 8,363 | 53.7% | 52.2% | |
| 50.53% | 285 | 1.1 | 379 | 8,860 | 46.4% | 54.4% | |
| 44.89% | 274 | 1.1 | 354 | 8,638 | 52.3% | 40.0% | |
| 53.58% | 265 | 1.1 | 329 | 8,794 | 59.2% | 50.3% | |
| 49.80% | 253 | 1.1 | 354 | 8,744 | 48.3% | 51.1% | |
| 55.20% | 250 | 1.1 | 330 | 8,693 | 60.2% | 51.4% | |
| 50.80% | 250 | 1.1 | 354 | 8,767 | 51.9% | 50.0% | |
| 52.61% | 249 | 1.1 | 374 | 8,674 | 50.9% | 54.2% | |
| 40.09% | 222 | 1.1 | 364 | 8,516 | 34.7% | 44.1% | |
| 51.63% | 215 | 1.2 | 332 | 8,357 | 57.1% | 46.4% | |
| 53.52% | 213 | 1.1 | 298 | 8,193 | 56.5% | 49.4% | |
| 56.73% | 208 | 1.2 | 314 | 8,382 | 53.0% | 60.2% | |
| 50.98% | 204 | 1.2 | 312 | 8,876 | 49.4% | 52.1% | |
| 49.74% | 193 | 1.1 | 409 | 8,703 | 47.5% | 52.1% | |
| 53.01% | 183 | 1.1 | 391 | 8,472 | 52.6% | 53.4% | |
| 49.69% | 163 | 1.2 | 384 | 9,194 | 44.4% | 53.0% | |
| 55.17% | 145 | 1.1 | 335 | 8,953 | 53.2% | 56.6% | |
| 54.61% | 141 | 1.1 | 318 | 8,631 | 49.2% | 58.8% | |
| 51.16% | 129 | 1.2 | 333 | 8,408 | 53.5% | 49.3% | |
| 51.24% | 121 | 1.1 | 360 | 8,787 | 55.4% | 47.7% | |
| 48.31% | 118 | 1.1 | 353 | 8,439 | 46.0% | 50.0% | |
| 50.46% | 109 | 1.2 | 343 | 8,869 | 50.0% | 50.8% | |
| 44.21% | 95 | 1.1 | 357 | 9,115 | 39.5% | 47.4% | |
| 48.94% | 94 | 1.1 | 369 | 8,829 | 46.0% | 50.9% | |
| 54.12% | 85 | 1.1 | 377 | 9,061 | 66.7% | 46.1% | |
| 50.00% | 82 | 1.2 | 346 | 9,223 | 42.9% | 53.7% | |
| 41.03% | 78 | 1.1 | 350 | 8,252 | 38.5% | 43.6% | |
| 55.22% | 67 | 1.9 | 405 | 9,399 | 60.0% | 52.4% | |
| 42.19% | 64 | 1.2 | 352 | 8,254 | 44.4% | 40.5% | |
| 52.38% | 42 | 1.3 | 391 | 8,241 | 50.0% | 55.0% | |
| 47.62% | 42 | 1.4 | 363 | 8,856 | 44.4% | 50.0% | |
| 59.52% | 42 | 1.7 | 391 | 9,678 | 57.9% | 60.9% | |
| 56.41% | 39 | 1.2 | 301 | 8,252 | 58.8% | 54.5% | |
| 51.43% | 35 | 1.1 | 348 | 8,626 | 50.0% | 52.6% | |
| 40.63% | 32 | 1.2 | 297 | 8,124 | 43.8% | 37.5% | |
| 43.75% | 32 | 1.0 | 330 | 8,212 | 40.0% | 47.1% | |
| 38.46% | 26 | 1.3 | 364 | 9,440 | 45.5% | 33.3% | |
| 50.00% | 26 | 1.1 | 365 | 8,814 | 38.5% | 61.5% | |
| 56.00% | 25 | 1.1 | 351 | 9,157 | 55.6% | 56.3% | |
| 68.00% | 25 | 1.1 | 351 | 7,793 | 66.7% | 70.0% | |
| 50.00% | 24 | 1.5 | 366 | 9,241 | 54.5% | 46.1% | |
| 60.87% | 23 | 1.0 | 317 | 7,920 | 57.1% | 66.7% | |
| 47.83% | 23 | 1.1 | 388 | 9,800 | 50.0% | 47.1% | |
| 68.18% | 22 | 2.0 | 355 | 9,249 | 62.5% | 71.4% | |
| 71.43% | 21 | 1.0 | 438 | 10,198 | 44.4% | 91.7% | |
| 38.89% | 18 | 1.2 | 319 | 8,462 | 28.6% | 45.5% | |
| 62.50% | 16 | 1.2 | 387 | 9,900 | 50.0% | 70.0% | |
| 53.33% | 15 | 1.0 | 447 | 9,610 | 28.6% | 75.0% | |
| 60.00% | 15 | 1.3 | 457 | 11,015 | 80.0% | 50.0% | |
| 64.29% | 14 | 1.1 | 381 | 10,684 | 66.7% | 62.5% | |
| 69.23% | 13 | 0.9 | 356 | 8,540 | 57.1% | 83.3% | |
| 72.73% | 11 | 1.8 | 341 | 9,261 | 100.0% | 57.1% | |
| 50.00% | 10 | 1.0 | 386 | 10,297 | 33.3% | 57.1% | |
| 50.00% | 10 | 1.6 | 417 | 11,621 | 50.0% | 50.0% | |
| 60.00% | 10 | 1.8 | 367 | 9,026 | 42.9% | 100.0% | |
| 50.00% | 10 | 1.0 | 307 | 9,009 | 40.0% | 60.0% | |
| 55.56% | 9 | 1.1 | 343 | 7,840 | 57.1% | 50.0% | |
| 44.44% | 9 | 1.1 | 327 | 7,593 | 50.0% | 33.3% | |
| 44.44% | 9 | 2.3 | 512 | 9,625 | 20.0% | 75.0% | |
| 77.78% | 9 | 1.2 | 379 | 7,880 | 71.4% | 100.0% | |
| 77.78% | 9 | 1.8 | 467 | 10,036 | 80.0% | 75.0% | |
| 77.78% | 9 | 1.6 | 310 | 9,685 | 60.0% | 100.0% | |
| 62.50% | 8 | 1.1 | 370 | 8,496 | 25.0% | 100.0% | |
| 50.00% | 8 | 2.1 | 487 | 11,032 | 0.0% | 57.1% | |
| 62.50% | 8 | 2.2 | 542 | 11,300 | 50.0% | 66.7% | |
| 50.00% | 8 | 1.0 | 369 | 6,835 | 50.0% | 50.0% | |
| 50.00% | 8 | 1.1 | 317 | 8,135 | 33.3% | 100.0% | |
| 42.86% | 7 | 1.6 | 483 | 12,517 | 0.0% | 42.9% | |
| 42.86% | 7 | 1.4 | 398 | 10,363 | 50.0% | 40.0% | |
| 42.86% | 7 | 1.9 | 474 | 10,434 | 75.0% | 0.0% | |
| 100.00% | 7 | 2.5 | 552 | 12,640 | 100.0% | 100.0% | |
| 28.57% | 7 | 1.1 | 377 | 10,163 | 25.0% | 33.3% | |
| 66.67% | 6 | 1.1 | 356 | 7,760 | 100.0% | 50.0% | |
| 66.67% | 6 | 2.3 | 474 | 10,116 | 66.7% | 66.7% | |
| 66.67% | 6 | 2.2 | 360 | 11,907 | 0.0% | 66.7% | |
| 50.00% | 6 | 1.9 | 467 | 8,659 | 66.7% | 33.3% | |
| 40.00% | 5 | 1.7 | 368 | 10,541 | 0.0% | 40.0% | |
| 40.00% | 5 | 1.9 | 351 | 6,807 | 50.0% | 0.0% | |
| 100.00% | 5 | 2.1 | 450 | 11,799 | 100.0% | 100.0% | |
| 40.00% | 5 | 5.2 | 736 | 12,422 | 0.0% | 40.0% | |
| 40.00% | 5 | 1.1 | 408 | 8,145 | 0.0% | 50.0% | |
| 100.00% | 5 | 1.1 | 396 | 5,210 | 100.0% | 100.0% | |
| 80.00% | 5 | 1.0 | 413 | 7,418 | 100.0% | 0.0% | |
| 40.00% | 5 | 1.2 | 350 | 9,017 | 50.0% | 33.3% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Thresh - Czesto zadawane pytania
Jakie sa najlepsze matchupy Thresh w League of Legends?
Najlepsze matchupy Thresh w patchu 26.10 to Seraphine, Nami, and Lux. Thresh 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 Thresh?
Najgorsze matchupy Thresh to Taliyah, Veigar, and Nidalee. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Thresh i moga wykorzystac slabosci Thresh na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Thresh?
Mozesz sprawdzic dane matchupow Thresh 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 Thresh.
Kogo kontruje Thresh w League of Legends?
Thresh kontruje Seraphine, Nami, and Lux w patchu 26.10. To sa najbardziej korzystne matchupy Thresh, gdzie Thresh ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Thresh w szczegolach.
Kto kontruje Thresh na linii?
Taliyah, Veigar, and Nidalee kontruja Thresh na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Thresh. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.