Ashe
Support Patch 26.14 · Silver and above · NA + EUW + KRBetaThis is a prototype. Nerfplz Data is still being built and tested. It reads matches through a rate-limited development key, so it sees a sample of ranked games rather than all of them, and only has one patch of history so far. Expect the numbers to move and to disagree with bigger sites until the collection matures.
That is this champion's tier based on match data alone. The written Solo Queue Tier List weighs counters, team comp synergy and matchup context on top, so the two can differ. See where the tier list puts them ↗
Hardest matchups
The Support opponents Ashe loses to most often, head to head.
Mel20.0%5 games
Nami22.2%9 games
Sona25.0%8 games
Xerath25.0%8 games
Morgana27.3%11 games
Easiest matchups
The Support opponents Ashe beats most often.
Sylas80.0%5 games
Camille66.7%9 games
Janna60.0%5 games
Braum60.0%5 games
Shaco60.0%5 games
Want the written version? Our Counter Series breaks down how to actually play against champions like this, not just who wins on paper.
Who they play best with
Bot lane partners, ranked by how often the pair wins together. Only pairings with enough games to mean something.
Smolder66.7%6 games
Jinx57.1%14 games
Vayne57.1%7 games
Jhin55.9%34 games
Ziggs55.6%18 games
Pairings are only half a team. Team Comp Tuesdays builds full five-champion compositions around picks like this.
What people build
The most common finished items, and how each one is actually performing.
Malignance, Imperial Mandate, Axiom Arc
Malignance, Imperial Mandate, Stormsurge
Runes
The full page most players run, not just the keystone.
Summoner spells and skill order
What people bring, and which ability they max first.
Short games or long games?
Ashe gets stronger the longer the game goes. Games that end early are the ones they lose.
Where these numbers come from
We read finished ranked solo queue games directly from Riot and keep a running tally. Nothing is copied from another site.
Matchups compare Ashe against the enemy champion in the same lane, counting only games where both were actually there. A matchup needs a few hundred games before it is listed at all, because a 60% win rate over thirty games is noise.
Worst case is the honest version of the win rate: if the games we happened to see were a lucky sample, this is roughly the lowest the real number is likely to be. When it is still above 50%, the champion is genuinely winning.
