
- Win Rate
- 49.2%
- Pick Rate
- 5.6%
Relentless Hunter Best Champions
- Patch
- 26.20
- Games with rune
- 36,970
- Lane
- All Lanes
- Tier
- All Tiers
- Last Updated
- Oct 14, 2026 UTC
- Methodology
- Data Methodology
- Author
- Dakota Chinnick
- Rune tree
- Domination · Row 3
- Win Rate
- 49.2%−0.1 vs row avg
- Pick Rate
- 5.6%
- Best champion
- Ekko · 54.9%
- Most played by
- Katarina
- Main lane
- Mid · 38%
Best champions for Relentless Hunter
Patch 26.20 · All ranksEkko leads with a 54.9% win rate with Relentless Hunter; 69 champions take it this patch.
- 1
EkkoMid54.9% with rune+1.7 vs champion avg2,140 games - 2
JannaSupport52.0% with rune+2.0 vs champion avg966 games - 3
Master YiJungle53.7% with rune+1.7 vs champion avg218 games
Ranked by win rate with the rune, adjusted for sample size: small samples are pulled toward the rune's average, so a champion with a few dozen lucky games can't top the list. A champion needs 200+ games to be called best.
Every champion that takes Relentless Hunter
103 champion and lane combinations with 30+ games. Search a champion or filter by lane and tier.
Rank | Champion | Lane | Tier | Win rate | Δ WR | Adoption | Games | Top Rune Build |
|---|---|---|---|---|---|---|---|---|
| 1 | Mid | S | 54.9% | +1.7 | 63.1% | 2,140 | ||
| 2 | Support | S | 66.3% | +5.4 | 43.9% | 83 | ||
| 3 | Top | S | 57.4% | +0.6 | 46.2% | 108 | — | |
| 4 | ADC | S | 62.3% | +12.3 | 0.8% | 53 | — | |
| 5 | Support | S | 57.8% | +7.5 | 1.2% | 90 | — | |
| 6 | Support | S | 52.0% | +2.0 | 33.6% | 966 | ||
| 7 | Jungle | S | 53.7% | +1.7 | 3.8% | 218 | — | |
| 8 | Jungle | S | 63.9% | +11.2 | 1.4% | 36 | — | |
| 9 | Mid | S | 51.6% | -0.5 | 67.7% | 734 | — | |
| 10 | Support | S | 55.1% | +3.1 | 19.8% | 89 | ||
| 11 | Support | S | 51.1% | +0.6 | 42.0% | 973 | — | |
| 12 | Support | S | 56.9% | +5.3 | 2.5% | 58 | — | |
| 13 | Mid | S | 56.9% | +7.1 | 7.0% | 51 | — | |
| 14 | Support | S | 55.2% | +3.0 | 1.3% | 67 | — | |
| 15 | Support | S | 54.3% | +4.5 | 1.4% | 81 | — | |
| 16 | Jungle | S | 51.6% | +1.0 | 46.3% | 244 | — | |
| 17 | Jungle | A | 58.8% | +5.8 | 0.7% | 34 | — | |
| 18 | Support | A | 50.8% | +2.7 | 18.9% | 659 | — | |
| 19 | Mid | A | 54.4% | +5.5 | 2.7% | 68 | — | |
| 20 | Mid | A | 51.2% | +2.8 | 7.6% | 285 | — | |
| 21 | Jungle | A | 52.0% | +1.9 | 2.1% | 152 | — | |
| 22 | Mid | A | 55.6% | +6.7 | 52.3% | 45 | ||
| 23 | Mid | A | 54.5% | +7.1 | 47.4% | 55 | — | |
| 24 | Support | A | 50.8% | +0.0 | 29.5% | 457 | — | |
| 25 | Jungle | A | 50.4% | -0.5 | 66.6% | 829 | ||
| 26 | Top | A | 55.9% | +4.6 | 29.1% | 34 | — | |
| 27 | Mid | A | 54.3% | +5.1 | 68.7% | 46 | ||
| 28 | Support | A | 52.2% | +1.6 | 1.9% | 92 | — | |
| 29 | Mid | A | 50.8% | +1.0 | 35.6% | 266 | — | |
| 30 | Jungle | A | 50.8% | +0.1 | 7.2% | 193 | ||
| 31 | Jungle | A | 52.2% | +2.1 | 1.3% | 67 | — | |
| 32 | Top | A | 52.4% | +5.3 | 15.5% | 63 | — | |
| 33 | Jungle | A | 50.2% | -0.7 | 10.2% | 460 | — | |
| 34 | Support | A | 50.6% | -0.5 | 2.5% | 176 | ||
| 35 | Mid | A | 50.6% | +1.6 | 13.2% | 170 | — | |
| 36 | Jungle | A | 51.1% | +2.6 | 3.1% | 90 | — | |
| 37 | Mid | A | 50.9% | -0.1 | 0.9% | 53 | — | |
| 38 | Mid | A | 51.2% | +3.2 | 23.2% | 41 | — | |
| 39 | Jungle | A | 50.0% | +3.8 | 65.0% | 180 | — | |
| 40 | Jungle | A | 49.7% | +0.0 | 28.7% | 574 | — | |
| 41 | Top | A | 50.0% | -0.1 | 3.5% | 60 | — | |
| 42 | Top | B | 50.0% | +2.5 | 74.6% | 44 | ||
| 43 | ADC | B | 50.0% | +0.7 | 1.3% | 42 | — | |
| 44 | Jungle | B | 50.0% | -2.5 | 2.6% | 42 | — | |
| 45 | Support | B | 50.0% | +0.5 | 1.7% | 32 | — | |
| 46 | Top | B | 49.1% | -0.3 | 2.3% | 53 | — | |
| 47 | Jungle | B | 49.3% | +0.0 | 10.9% | 217 | — | |
| 48 | Mid | B | 48.9% | -1.3 | 2.4% | 47 | — | |
| 49 | Jungle | B | 48.8% | -2.5 | 2.5% | 41 | — | |
| 50 | Mid | B | 48.4% | -2.9 | 0.9% | 31 | — | |
| 51 | Jungle | B | 49.3% | -1.2 | 66.0% | 963 | ||
| 52 | Support | B | 48.7% | +1.1 | 7.8% | 76 | — | |
| 53 | Top | B | 48.5% | +1.5 | 49.3% | 66 | ||
| 54 | Support | B | 49.0% | -2.0 | 27.2% | 192 | — | |
| 55 | Jungle | B | 48.0% | +1.8 | 1.0% | 50 | — | |
| 56 | Support | B | 49.0% | -2.9 | 4.4% | 243 | — | |
| 57 | Mid | B | 49.2% | -0.3 | 82.7% | 2,676 | — | |
| 58 | Jungle | B | 47.6% | -1.0 | 1.6% | 42 | — | |
| 59 | Support | B | 46.9% | -0.3 | 12.3% | 32 | — | |
| 60 | Jungle | B | 48.4% | -4.4 | 12.9% | 91 | — | |
| 61 | ADC | B | 47.9% | -2.2 | 0.9% | 73 | — | |
| 62 | ADC | B | 47.3% | -3.3 | 0.7% | 55 | — | |
| 63 | Support | B | 48.6% | +3.0 | 65.9% | 218 | ||
| 64 | Support | B | 46.9% | -2.4 | 67.1% | 49 | ||
| 65 | Jungle | B | 48.9% | -0.6 | 26.6% | 626 | — | |
| 66 | Support | B | 47.7% | -2.7 | 2.2% | 86 | — | |
| 67 | ADC | B | 48.2% | +0.4 | 53.1% | 170 | — | |
| 68 | Jungle | B | 48.9% | -0.5 | 86.2% | 1,329 | ||
| 69 | Top | B | 45.5% | +4.1 | 58.7% | 44 | — | |
| 70 | Mid | B | 48.8% | -0.4 | 47.7% | 1,691 | — | |
| 71 | Top | B | 44.7% | -5.9 | 0.7% | 38 | — | |
| 72 | Top | B | 44.4% | -4.8 | 6.1% | 36 | — | |
| 73 | Jungle | B | 48.7% | -0.2 | 38.8% | 901 | ||
| 74 | Mid | B | 47.3% | -5.2 | 3.2% | 129 | — | |
| 75 | ADC | B | 44.2% | -4.1 | 74.1% | 43 | ||
| 76 | Jungle | B | 43.9% | -7.0 | 1.0% | 41 | — | |
| 77 | Mid | B | 48.5% | -0.9 | 57.0% | 738 | ||
| 78 | ADC | C | 42.9% | -5.6 | 53.0% | 35 | — | |
| 79 | ADC | C | 47.0% | -3.5 | 1.1% | 115 | — | |
| 80 | Jungle | C | 44.8% | -5.0 | 1.6% | 58 | — | |
| 81 | Mid | C | 44.4% | -7.6 | 0.8% | 54 | — | |
| 82 | Support | C | 47.6% | +0.4 | 78.9% | 206 | ||
| 83 | Support | C | 43.2% | -0.8 | 58.7% | 44 | ||
| 84 | Jungle | C | 41.7% | -7.9 | 1.8% | 36 | — | |
| 85 | Support | C | 47.4% | -1.1 | 56.7% | 215 | — | |
| 86 | Support | C | 47.8% | -2.8 | 37.7% | 339 | ||
| 87 | Support | C | 48.1% | -1.4 | 35.0% | 599 | — | |
| 88 | Jungle | C | 40.5% | -1.8 | 4.8% | 37 | — | |
| 89 | Jungle | C | 40.0% | -10.3 | 2.9% | 35 | — | |
| 90 | Jungle | C | 47.3% | -1.3 | 22.9% | 313 | — | |
| 91 | Support | C | 47.4% | -2.6 | 19.0% | 397 | — | |
| 92 | Jungle | C | 47.9% | -1.3 | 54.9% | 1,932 | — | |
| 93 | Mid | C | 47.8% | -0.5 | 79.6% | 1,332 | ||
| 94 | Top | C | 38.1% | -13.3 | 0.9% | 42 | — | |
| 95 | Mid | C | 40.4% | -8.1 | 1.4% | 57 | — | |
| 96 | Mid | C | 47.5% | -0.7 | 78.9% | 2,053 | ||
| 97 | Jungle | C | 31.3% | -17.3 | 1.3% | 32 | — | |
| 98 | Top | C | 33.3% | -8.8 | 68.4% | 39 | ||
| 99 | Jungle | C | 30.3% | -15.0 | 1.3% | 33 | — | |
| 100 | Top | C | 36.4% | +3.4 | 67.1% | 55 | ||
| 101 | Support | C | 47.0% | -1.0 | 71.3% | 1,777 | — | |
| 102 | Jungle | C | 42.5% | -6.0 | 20.8% | 134 | — | |
| 103 | Support | C | 42.9% | -1.5 | 64.5% | 182 | — | |
Champions that almost always take Relentless Hunter
Evelynn takes Relentless Hunter in 86% of its games. High adoption means the rune is the default for that champion.
Relentless Hunter champion tiers
Every champion that takes Relentless Hunter, grouped by its sample-adjusted win rate with the rune (S = top 15%).
Get the Winning Edge
Real-time overlays, automatic match tracking, and exclusive tools — everything you need to climb, free on your PC.
- In-game overlays
- Automatic match tracking
- Desktop-exclusive tools
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
Best Relentless Hunter champions FAQ – Patch 26.20
What are the best champions for Relentless Hunter in Patch 26.20?
By win rate with Relentless Hunter: Ekko (54.9%), Janna (52.0%), Master Yi (53.7%). 69 champions take it this patch.
Which champions use Relentless Hunter the most?
Most games with Relentless Hunter: Katarina (2,676), Ekko (2,140), LeBlanc (2,053).
Which lane is Relentless Hunter played in?
Relentless Hunter is played mostly in Mid (37.6% of its games).
Which champion takes Relentless Hunter most consistently?
Evelynn takes Relentless Hunter in 86% of its games, the highest of the 69 champions that use it.