
- Winrate
- 50.6%
- Pick rate
- 16.4%
Smrtící tempo Nejlepší šampioni
- Patch
- 26.19
- Hry s runou
- 74 593
- Lajna
- Všechny linie
- Tier
- Všechny tiery
- Poslední aktualizace
- 6. 10. 2026 UTC
- Metodika
- Metodika dat
- Autor
- Dakota Chinnick
- Strom run
- Přesnost · Klíčová runa
- Winrate
- 50.6%+0.5 oproti průměru řádku
- Pick rate
- 16.4%
- Nejlepší šampion
- Kog'Maw · 56.8%
- Nejvíc hrají
- Jinx
- Hlavní linie
- ADC · 63%
Nejlepší šampioni pro Smrtící tempo
Patch 26.19 · Všechny rankyS runou Smrtící tempo vede Kog'Maw s úspěšností 56.8%; v tomto patchi ji berou šampioni: 45.
- 1
Kog'MawADC56.8% s runou+1.9 vs průměr šampiona1 740 her - 2
Bel'VethJungle54.6% s runou+1.3 vs průměr šampiona1 382 her - 3
TryndamereTop53.7% s runou+2.5 vs průměr šampiona1 365 her
Řazeno podle úspěšnosti s runou, upraveno podle velikosti vzorku: malé vzorky se přitahují k průměru runy, takže šampion s pár desítkami šťastných her nemůže vést žebříček. Aby byl šampion označen za nejlepšího, potřebuje 200+ her.
Všichni šampioni, kteří berou Smrtící tempo
Počet kombinací šampiona a linie s 30+ hrami: 100. Hledej šampiona nebo filtruj podle linie a tieru.
Pořadí | Šampion | Lajna | Tier | Úspěšnost | Δ WR | Využití | Zápasy | Nejlepší build run |
|---|---|---|---|---|---|---|---|---|
| 1 | ADC | S | 56.8% | +1.9 | 82.2% | 1 740 | ||
| 2 | Jungle | S | 54.6% | +1.3 | 55.0% | 1 382 | ||
| 3 | Top | S | 53.7% | +2.5 | 36.8% | 1 365 | — | |
| 4 | Jungle | S | 53.3% | +0.9 | 76.1% | 1 680 | ||
| 5 | Mid | S | 52.7% | +1.0 | 73.6% | 6 353 | ||
| 6 | ADC | S | 52.7% | +0.1 | 93.6% | 15 491 | ||
| 7 | Top | S | 52.8% | +1.2 | 85.1% | 940 | ||
| 8 | ADC | S | 52.3% | +0.8 | 79.4% | 3 415 | ||
| 9 | Mid | S | 57.3% | +3.5 | 24.1% | 96 | — | |
| 10 | Top | S | 63.2% | +7.3 | 88.4% | 38 | ||
| 11 | Jungle | S | 51.9% | +0.3 | 69.7% | 5 065 | ||
| 12 | Top | S | 52.0% | +0.3 | 37.0% | 934 | — | |
| 13 | Jungle | S | 54.1% | +2.2 | 1.9% | 122 | — | |
| 14 | Top | S | 56.8% | +8.5 | 49.4% | 44 | ||
| 15 | Jungle | S | 55.6% | +6.1 | 59.3% | 54 | ||
| 16 | Mid | A | 53.5% | -2.9 | 58.7% | 101 | ||
| 17 | ADC | A | 51.3% | +0.2 | 84.2% | 8 583 | ||
| 18 | Top | A | 52.6% | +5.2 | 30.2% | 152 | ||
| 19 | ADC | A | 51.3% | +0.4 | 93.9% | 8 944 | ||
| 20 | Mid | A | 57.1% | +7.1 | 16.8% | 35 | ||
| 21 | ADC | A | 51.3% | -0.1 | 80.0% | 1 958 | ||
| 22 | Mid | A | 54.8% | +2.7 | 67.4% | 31 | — | |
| 23 | ADC | A | 51.0% | -0.4 | 88.7% | 2 452 | ||
| 24 | Top | A | 53.1% | +11.1 | 37.4% | 49 | ||
| 25 | Mid | A | 52.0% | +5.0 | 27.3% | 50 | ||
| 26 | Mid | A | 51.5% | -0.7 | 73.9% | 68 | ||
| 27 | Jungle | A | 50.8% | -1.1 | 41.1% | 597 | — | |
| 28 | Jungle | A | 50.7% | +0.0 | 42.7% | 3 852 | — | |
| 29 | Top | A | 50.7% | +2.3 | 27.8% | 854 | ||
| 30 | Mid | A | 50.6% | +0.1 | 75.9% | 8 135 | ||
| 31 | Jungle | A | 50.6% | +0.5 | 22.3% | 1 320 | — | |
| 32 | ADC | A | 50.6% | -0.3 | 75.3% | 4 593 | ||
| 33 | Mid | A | 50.0% | +7.3 | 73.2% | 60 | ||
| 34 | Jungle | A | 50.0% | +4.6 | 5.0% | 104 | — | |
| 35 | Top | A | 50.0% | +1.9 | 70.1% | 108 | ||
| 36 | ADC | A | 50.3% | +1.1 | 68.1% | 3 299 | ||
| 37 | Jungle | A | 48.9% | -1.2 | 1.8% | 45 | — | |
| 38 | Top | A | 49.0% | -2.1 | 2.8% | 49 | — | |
| 39 | ADC | A | 50.3% | +0.6 | 83.5% | 9 999 | ||
| 40 | ADC | A | 47.4% | +1.7 | 0.7% | 38 | — | |
| 41 | Top | B | 50.1% | -0.2 | 68.0% | 3 713 | ||
| 42 | Top | B | 50.1% | +0.8 | 59.5% | 3 146 | ||
| 43 | ADC | B | 50.0% | +1.4 | 72.6% | 3 028 | ||
| 44 | Mid | B | 45.5% | +11.5 | 58.9% | 33 | ||
| 45 | Mid | B | 45.9% | -11.5 | 26.2% | 37 | — | |
| 46 | Top | B | 47.6% | +4.2 | 46.3% | 63 | ||
| 47 | Top | B | 48.1% | -3.7 | 1.1% | 79 | — | |
| 48 | Jungle | B | 48.1% | +0.3 | 68.7% | 79 | ||
| 49 | Top | B | 48.8% | -2.8 | 1.6% | 129 | — | |
| 50 | ADC | B | 49.2% | -0.0 | 70.5% | 189 | ||
| 51 | Jungle | B | 49.4% | -0.2 | 52.7% | 362 | — | |
| 52 | Top | B | 48.5% | +2.9 | 61.4% | 132 | ||
| 53 | ADC | B | 48.3% | +2.0 | 54.7% | 116 | — | |
| 54 | Top | B | 45.8% | -5.0 | 10.2% | 48 | — | |
| 55 | Mid | B | 45.8% | -2.3 | 1.7% | 48 | ||
| 56 | Mid | B | 45.2% | +0.0 | 50.0% | 42 | ||
| 57 | Top | B | 44.7% | +1.9 | 28.6% | 38 | — | |
| 58 | Jungle | B | 44.1% | -4.3 | 0.9% | 34 | — | |
| 59 | Top | B | 43.8% | -5.0 | 40.0% | 32 | ||
| 60 | Top | B | 49.7% | +0.5 | 81.1% | 2 372 | ||
| 61 | ADC | B | 49.7% | +0.1 | 83.8% | 8 295 | ||
| 62 | Mid | B | 46.0% | -4.3 | 47.4% | 63 | ||
| 63 | Jungle | B | 44.9% | -8.6 | 0.7% | 49 | — | |
| 64 | Top | B | 49.6% | +1.1 | 76.6% | 2 028 | — | |
| 65 | ADC | B | 49.6% | -0.1 | 67.3% | 11 923 | ||
| 66 | Top | B | 43.5% | +1.3 | 55.4% | 46 | — | |
| 67 | Mid | B | 41.2% | +1.6 | 70.8% | 34 | ||
| 68 | Top | B | 49.4% | +0.2 | 85.2% | 5 448 | ||
| 69 | ADC | B | 49.2% | +0.8 | 88.7% | 1 759 | ||
| 70 | Top | B | 45.6% | -3.6 | 2.7% | 90 | ||
| 71 | Jungle | B | 44.4% | -5.4 | 3.9% | 81 | — | |
| 72 | Mid | B | 43.8% | +0.1 | 57.0% | 73 | ||
| 73 | ADC | B | 49.0% | +0.1 | 90.4% | 3 124 | ||
| 74 | Support | B | 37.1% | +1.2 | 54.7% | 35 | ||
| 75 | ADC | B | 48.9% | +0.6 | 63.2% | 1 865 | ||
| 76 | Top | C | 48.6% | -0.0 | 64.8% | 954 | ||
| 77 | Mid | C | 45.5% | -4.0 | 41.4% | 123 | ||
| 78 | Top | C | 39.6% | -11.8 | 26.5% | 48 | — | |
| 79 | Mid | C | 43.7% | -1.0 | 18.3% | 87 | ||
| 80 | Mid | C | 47.9% | +0.8 | 67.4% | 497 | ||
| 81 | Mid | C | 43.2% | -1.6 | 19.1% | 88 | — | |
| 82 | Mid | C | 43.0% | +1.2 | 31.9% | 86 | ||
| 83 | Top | C | 44.2% | +0.0 | 56.8% | 113 | — | |
| 84 | Mid | C | 38.9% | -6.2 | 13.0% | 54 | ||
| 85 | Jungle | C | 44.8% | +3.8 | 48.6% | 134 | ||
| 86 | Top | C | 37.0% | -6.4 | 30.7% | 46 | ||
| 87 | Jungle | C | 48.2% | +0.6 | 56.0% | 1 136 | ||
| 88 | Support | C | 45.0% | -4.2 | 3.1% | 171 | — | |
| 89 | Top | C | 43.4% | +0.1 | 91.9% | 136 | ||
| 90 | Jungle | C | 36.7% | -0.8 | 68.2% | 60 | ||
| 91 | Jungle | C | 25.8% | -11.5 | 52.5% | 31 | ||
| 92 | Mid | C | 47.0% | -0.9 | 36.4% | 679 | ||
| 93 | Support | C | 31.9% | +0.5 | 67.1% | 47 | ||
| 94 | Support | C | 34.4% | -3.3 | 22.1% | 61 | ||
| 95 | Support | C | 40.0% | -5.6 | 8.7% | 120 | ||
| 96 | Mid | C | 40.4% | -8.6 | 5.4% | 141 | — | |
| 97 | ADC | C | 43.0% | -7.4 | 1.9% | 230 | — | |
| 98 | ADC | C | 40.6% | -9.0 | 23.8% | 160 | — | |
| 99 | ADC | C | 46.1% | +0.6 | 66.0% | 5 481 | ||
| 100 | ADC | C | 45.2% | -4.4 | 20.3% | 1 382 | — | |
Šampioni, kteří téměř vždy berou Smrtící tempo
Yunara bere Smrtící tempo v 94% svých her. Vysoké zastoupení znamená, že runa je pro toho šampiona standard.
Tiery šampionů pro Smrtící tempo
Všichni šampioni, kteří berou Smrtící tempo, seskupení podle winratu s runou upraveného podle velikosti vzorku (S = horních 15 %).
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FAQ: nejlepší šampioni pro Smrtící tempo – patch 26.19
Kteří šampioni jsou nejlepší pro Smrtící tempo v patchi 26.19?
Podle úspěšnosti s Smrtící tempo: Kog'Maw (56.8%), Bel'Veth (54.6%), Tryndamere (53.7%). V tomto patchi ji berou šampioni: 45.
Kteří šampioni používají Smrtící tempo nejčastěji?
Nejvíc her s Smrtící tempo: Jinx (15 491), Caitlyn (11 923), Kai'Sa (9 999).
Na které linii se hraje Smrtící tempo?
Smrtící tempo se hraje většinou na linii ADC (62.9% her).
Který šampion bere Smrtící tempo nejkonzistentněji?
Yunara bere Smrtící tempo v 94% svých her, což je nejvíc ze šampionů, kteří ji používají (celkem 45).