
- Winrate
- 49.5%
- Pick rate
- 5.7%
Neúnavný lovec Nejlepší šampioni
- Strom run
- Dominance · Řada 3
- Winrate
- 49.5%+0.2 oproti průměru řádku
- Pick rate
- 5.7%
- Nejlepší šampion
- Pyke · 53.4%
- Nejvíc hrají
- Katarina
- Hlavní linie
- Mid · 37%
Nejlepší šampioni pro Neúnavný lovec
Patch 26.19 · Všechny rankyS runou Neúnavný lovec vede Pyke s úspěšností 53.4%; v tomto patchi ji berou šampioni: 88.
- 1
PykeSupport53.4% s runou+5.4 vs průměr šampiona927 her - 2
PantheonMid54.4% s runou+2.0 vs průměr šampiona439 her - 3
Mistr YiJungle54.9% s runou+4.2 vs průměr šampiona348 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 Neúnavný lovec
Počet kombinací šampiona a linie s 30+ hrami: 135. Hledej šampiona nebo filtruj podle linie a tieru.
Pořadí | Šampion | Lajna | Tier | Úspěšnost | Δ WR | Využití | Zápasy | Nejlepší build run |
|---|---|---|---|---|---|---|---|---|
| 1 | Mid | S | 59.6% | +6.9 | 2.8% | 183 | — | |
| 2 | Support | S | 53.4% | +5.4 | 16.0% | 927 | ||
| 3 | Support | S | 59.5% | +5.5 | 49.8% | 131 | ||
| 4 | Mid | S | 54.4% | +2.0 | 43.4% | 439 | ||
| 5 | Jungle | S | 54.9% | +4.2 | 3.9% | 348 | — | |
| 6 | Jungle | S | 54.8% | +4.6 | 2.9% | 345 | — | |
| 7 | Support | S | 52.7% | +1.1 | 41.3% | 1 464 | ||
| 8 | Support | S | 62.4% | +10.7 | 1.1% | 85 | — | |
| 9 | Jungle | S | 53.6% | +2.6 | 60.0% | 280 | ||
| 10 | Mid | S | 53.8% | +5.4 | 4.5% | 247 | — | |
| 11 | Mid | S | 58.8% | +7.7 | 0.8% | 68 | — | |
| 12 | Mid | S | 58.8% | +9.5 | 6.7% | 68 | — | |
| 13 | Jungle | S | 53.3% | +3.2 | 4.7% | 195 | ||
| 14 | Mid | S | 59.3% | +9.8 | 1.6% | 54 | — | |
| 15 | Top | S | 56.8% | +3.1 | 54.4% | 74 | ||
| 16 | Jungle | S | 58.8% | +11.9 | 4.8% | 51 | — | |
| 17 | Jungle | S | 56.0% | +8.3 | 1.1% | 75 | — | |
| 18 | Mid | S | 50.6% | +0.0 | 78.9% | 3 396 | ||
| 19 | Mid | S | 53.6% | +3.1 | 1.2% | 125 | — | |
| 20 | Mid | S | 63.3% | +11.6 | 0.8% | 30 | — | |
| 21 | Mid | S | 60.5% | +10.4 | 1.6% | 38 | — | |
| 22 | Mid | A | 59.1% | +12.2 | 2.2% | 44 | — | |
| 23 | Support | A | 58.7% | +10.2 | 1.1% | 46 | — | |
| 24 | Top | A | 58.0% | +6.6 | 27.6% | 50 | — | |
| 25 | Mid | A | 50.8% | -0.7 | 61.8% | 1 105 | ||
| 26 | Jungle | A | 51.1% | +1.3 | 21.2% | 442 | — | |
| 27 | Mid | A | 58.5% | +9.9 | 9.5% | 41 | — | |
| 28 | Jungle | A | 58.1% | +4.7 | 0.6% | 43 | — | |
| 29 | Mid | A | 55.2% | +6.2 | 2.6% | 67 | — | |
| 30 | Support | A | 50.4% | -1.8 | 28.2% | 1 844 | — | |
| 31 | Support | A | 50.7% | +0.2 | 34.0% | 766 | — | |
| 32 | Support | A | 51.4% | +2.0 | 69.8% | 243 | ||
| 33 | Support | A | 50.8% | -0.4 | 36.4% | 520 | — | |
| 34 | Jungle | A | 59.4% | +9.8 | 4.5% | 32 | — | |
| 35 | Support | A | 52.5% | +4.9 | 20.2% | 118 | — | |
| 36 | Mid | A | 52.7% | +1.7 | 2.6% | 93 | — | |
| 37 | Top | A | 54.2% | +6.6 | 2.4% | 48 | — | |
| 38 | Support | A | 54.2% | +3.7 | 1.2% | 48 | — | |
| 39 | Jungle | A | 55.0% | +4.9 | 0.7% | 40 | — | |
| 40 | Top | A | 51.4% | +3.8 | 71.8% | 107 | ||
| 41 | Support | A | 51.5% | +1.2 | 7.1% | 99 | ||
| 42 | Top | A | 52.5% | +6.2 | 56.5% | 61 | ||
| 43 | Jungle | A | 52.6% | +1.7 | 4.0% | 57 | — | |
| 44 | ADC | A | 53.8% | +8.2 | 0.8% | 39 | — | |
| 45 | Support | A | 51.2% | -0.5 | 0.8% | 84 | — | |
| 46 | Top | A | 51.4% | +2.8 | 2.1% | 70 | — | |
| 47 | ADC | A | 51.5% | +0.3 | 77.3% | 68 | ||
| 48 | Mid | A | 51.7% | -0.9 | 24.1% | 60 | ||
| 49 | Support | A | 52.4% | +3.1 | 2.4% | 42 | — | |
| 50 | Jungle | A | 52.4% | +3.0 | 13.3% | 42 | — | |
| 51 | Jungle | A | 49.6% | +1.1 | 36.5% | 1 358 | ||
| 52 | Support | A | 49.7% | -2.6 | 4.4% | 346 | — | |
| 53 | Mid | A | 50.8% | -0.2 | 0.8% | 59 | — | |
| 54 | ADC | A | 51.1% | +0.2 | 0.7% | 45 | — | |
| 55 | Mid | B | 51.3% | +6.7 | 60.0% | 39 | ||
| 56 | ADC | B | 49.6% | -0.9 | 56.3% | 256 | ||
| 57 | Mid | B | 50.0% | +2.8 | 54.1% | 86 | — | |
| 58 | Jungle | B | 49.4% | -2.2 | 12.0% | 872 | — | |
| 59 | Support | B | 49.5% | -0.7 | 18.4% | 552 | — | |
| 60 | Support | B | 49.4% | +0.3 | 70.0% | 2 790 | ||
| 61 | Support | B | 50.0% | +1.5 | 0.8% | 66 | — | |
| 62 | Jungle | B | 50.0% | -3.3 | 2.6% | 66 | — | |
| 63 | Jungle | B | 50.0% | +0.3 | 1.4% | 42 | — | |
| 64 | Jungle | B | 50.0% | -1.0 | 1.3% | 40 | — | |
| 65 | Mid | B | 49.3% | -0.4 | 59.5% | 2 694 | ||
| 66 | ADC | B | 50.0% | -2.0 | 9.2% | 34 | — | |
| 67 | Top | B | 50.0% | -2.7 | 40.5% | 30 | ||
| 68 | Support | B | 49.2% | -1.4 | 2.0% | 199 | — | |
| 69 | ADC | B | 49.1% | -1.1 | 1.1% | 173 | — | |
| 70 | Top | B | 48.5% | -0.8 | 0.6% | 33 | — | |
| 71 | Support | B | 48.8% | +0.9 | 21.3% | 125 | ||
| 72 | ADC | B | 48.6% | -2.5 | 0.7% | 70 | — | |
| 73 | Top | B | 48.6% | -1.1 | 7.0% | 70 | — | |
| 74 | ADC | B | 48.4% | -3.7 | 63.3% | 62 | — | |
| 75 | Support | B | 47.5% | -2.2 | 1.4% | 40 | — | |
| 76 | Support | B | 47.4% | +0.6 | 20.7% | 38 | — | |
| 77 | Mid | B | 49.0% | -0.1 | 83.0% | 4 160 | ||
| 78 | Mid | B | 48.1% | +0.3 | 1.4% | 79 | — | |
| 79 | Jungle | B | 48.0% | +0.5 | 3.7% | 75 | — | |
| 80 | ADC | B | 48.2% | -2.3 | 1.1% | 141 | — | |
| 81 | Jungle | B | 48.8% | -0.1 | 87.4% | 2 189 | — | |
| 82 | ADC | B | 46.8% | -1.8 | 1.1% | 47 | — | |
| 83 | Top | B | 46.3% | -9.8 | 46.1% | 41 | ||
| 84 | ADC | B | 46.2% | -3.1 | 0.8% | 39 | — | |
| 85 | Mid | B | 45.9% | -6.8 | 0.6% | 37 | — | |
| 86 | Jungle | B | 45.5% | -7.2 | 0.6% | 33 | — | |
| 87 | Jungle | B | 46.6% | -3.5 | 2.4% | 58 | — | |
| 88 | Jungle | B | 46.9% | -2.6 | 1.5% | 81 | — | |
| 89 | ADC | B | 44.4% | -3.5 | 18.8% | 36 | — | |
| 90 | Top | B | 46.5% | +5.7 | 36.2% | 71 | ||
| 91 | Support | B | 43.3% | -5.9 | 0.6% | 30 | — | |
| 92 | Mid | B | 45.8% | -4.7 | 11.6% | 59 | — | |
| 93 | Jungle | B | 48.5% | -0.5 | 80.4% | 1 283 | ||
| 94 | Mid | B | 46.3% | -4.1 | 78.1% | 82 | — | |
| 95 | Support | B | 45.7% | -3.3 | 70.0% | 70 | — | |
| 96 | Top | B | 45.2% | -6.6 | 0.9% | 62 | — | |
| 97 | Mid | B | 48.3% | -0.0 | 80.5% | 1 991 | ||
| 98 | Jungle | B | 45.2% | -4.2 | 1.5% | 73 | — | |
| 99 | ADC | B | 45.1% | -4.6 | 0.6% | 71 | — | |
| 100 | Jungle | B | 48.2% | -1.1 | 64.9% | 1 501 | — | |
| 101 | Mid | B | 48.2% | -1.1 | 45.5% | 2 614 | — | |
| 102 | Top | C | 43.1% | -5.3 | 0.7% | 51 | — | |
| 103 | Jungle | C | 45.0% | -6.9 | 1.3% | 80 | — | |
| 104 | Support | C | 45.8% | -5.7 | 1.3% | 107 | — | |
| 105 | Jungle | C | 41.0% | -4.8 | 1.5% | 39 | — | |
| 106 | Top | C | 41.0% | -7.4 | 5.8% | 39 | — | |
| 107 | Top | C | 40.0% | -11.2 | 0.9% | 35 | — | |
| 108 | Top | C | 43.5% | -8.0 | 0.8% | 62 | — | |
| 109 | Support | C | 43.1% | -6.9 | 1.8% | 58 | — | |
| 110 | ADC | C | 44.9% | -4.8 | 0.6% | 98 | — | |
| 111 | Support | C | 38.9% | -1.5 | 69.2% | 36 | ||
| 112 | ADC | C | 42.1% | -6.9 | 58.2% | 57 | ||
| 113 | Support | C | 46.6% | -1.4 | 82.3% | 247 | ||
| 114 | Support | C | 46.9% | +0.8 | 65.0% | 341 | — | |
| 115 | Top | C | 43.8% | -6.0 | 3.4% | 89 | ||
| 116 | Jungle | C | 45.3% | -0.8 | 13.6% | 150 | — | |
| 117 | Jungle | C | 44.0% | -6.3 | 1.2% | 100 | — | |
| 118 | Mid | C | 46.2% | -0.9 | 12.8% | 236 | — | |
| 119 | Mid | C | 47.5% | -1.6 | 67.5% | 1 157 | — | |
| 120 | Jungle | C | 36.8% | -13.9 | 1.0% | 38 | — | |
| 121 | Support | C | 47.3% | -0.9 | 32.2% | 829 | — | |
| 122 | Top | C | 45.6% | -0.4 | 46.7% | 206 | — | |
| 123 | Jungle | C | 45.3% | -3.9 | 20.9% | 179 | — | |
| 124 | Jungle | C | 45.0% | -3.6 | 4.0% | 202 | — | |
| 125 | Support | C | 32.4% | -1.0 | 49.3% | 34 | ||
| 126 | Jungle | C | 47.3% | -1.1 | 59.2% | 3 552 | — | |
| 127 | ADC | C | 30.3% | -17.5 | 0.7% | 33 | — | |
| 128 | Support | C | 34.8% | -2.9 | 16.7% | 46 | — | |
| 129 | Jungle | C | 46.2% | -3.4 | 30.8% | 963 | — | |
| 130 | Support | C | 42.8% | -7.3 | 1.6% | 180 | — | |
| 131 | Support | C | 42.9% | -7.1 | 26.6% | 261 | — | |
| 132 | Support | C | 38.4% | -11.1 | 1.9% | 112 | — | |
| 133 | Jungle | C | 43.3% | -5.7 | 42.6% | 321 | ||
| 134 | Jungle | C | 45.0% | -1.0 | 30.9% | 948 | ||
| 135 | Jungle | C | 39.2% | -6.2 | 7.5% | 158 | — | |
Šampioni, kteří téměř vždy berou Neúnavný lovec
Evelynn bere Neúnavný lovec v 87% svých her. Vysoké zastoupení znamená, že runa je pro toho šampiona standard.
Tiery šampionů pro Neúnavný lovec
Všichni šampioni, kteří berou Neúnavný lovec, seskupení podle winratu s runou upraveného podle velikosti vzorku (S = horních 15 %).
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FAQ: nejlepší šampioni pro Neúnavný lovec – patch 26.19
Kteří šampioni jsou nejlepší pro Neúnavný lovec v patchi 26.19?
Podle úspěšnosti s Neúnavný lovec: Pyke (53.4%), Pantheon (54.4%), Mistr Yi (54.9%). V tomto patchi ji berou šampioni: 88.
Kteří šampioni používají Neúnavný lovec nejčastěji?
Nejvíc her s Neúnavný lovec: Katarina (4 160), Shaco (3 552), LeBlanc (3 396).
Na které linii se hraje Neúnavný lovec?
Neúnavný lovec se hraje většinou na linii Mid (36.6% her).
Který šampion bere Neúnavný lovec nejkonzistentněji?
Evelynn bere Neúnavný lovec v 87% svých her, což je nejvíc ze šampionů, kteří ji používají (celkem 88).