Hwei Counters
Who counters Hwei? Matchups by role · Patch 26.16
Find the counters and matchups of Hwei on Patch 26.16, computed from analyzed ranked games (minimum 20 games per matchup). Their hardest matchup: Jinx (37.0% win rate over 27 games). Conversely, Hwei has a more favorable win rate against Caitlyn (63.5%) in the available corpus. Also check out Hwei's build and runes.
Mid Lane965 games
Hardest matchups: who counters Hwei
Katarina63 games · Hwei vs Katarina44.4%Hwei's WR
Yone36 games · Hwei vs Yone41.7%Hwei's WR
Syndra167 games · Hwei vs Syndra47.3%Hwei's WR
Xerath54 games · Hwei vs Xerath46.3%Hwei's WR
Locke27 games · Hwei vs Locke48.1%Hwei's WR
Viktor221 games · Hwei vs Viktor49.8%Hwei's WR
Matchups with the most favorable rates for Hwei
Malzahar27 games · Hwei vs Malzahar66.7%Hwei's WR
Zed78 games · Hwei vs Zed55.1%Hwei's WR
Ahri168 games · Hwei vs Ahri53.0%Hwei's WR
Sylas42 games · Hwei vs Sylas54.8%Hwei's WR
Yasuo53 games · Hwei vs Yasuo52.8%Hwei's WR
Fizz29 games · Hwei vs Fizz51.7%Hwei's WR
Bot Lane (ADC)151 games
Hardest matchups: who counters Hwei
Jinx27 games · Hwei vs Jinx37.0%Hwei's WR
Kaisa48 games · Hwei vs Kaisa43.8%Hwei's WR
Jhin24 games · Hwei vs Jhin50.0%Hwei's WR
Caitlyn52 games · Hwei vs Caitlyn63.5%Hwei's WR
Matchups with the most favorable rates for Hwei
- Caitlyn52 games · Hwei vs Caitlyn63.5%Hwei's WR
- Jhin24 games · Hwei vs Jhin50.0%Hwei's WR
- Kaisa48 games · Hwei vs Kaisa43.8%Hwei's WR
- Jinx27 games · Hwei vs Jinx37.0%Hwei's WR
All Hwei matchups
17 opponents analysed against Hwei. Open a matchup for both sides in detail.
Frequently asked questions
Who counters Hwei on Patch 26.16?
The champions that counter Hwei the most are Jinx, Katarina, Yone. These matchups show the lowest win rates for Hwei across the ranked games analyzed.
Who is Hwei strong against?
Hwei has its best win rates against Caitlyn, Malzahar, Zed. These are favorable matchups to use to win your lane.
How are Hwei's counters calculated?
For every opponent met in the same lane, I measure Hwei's real win rate across ranked games. Matchups with too few games are discarded, and the ranking is statistically smoothed (Bayesian average) so a small sample is not overrated.