Fizz Counters
Who counters Fizz? Matchups by role · Patch 26.16
Find the counters and matchups of Fizz on Patch 26.16, computed from analyzed ranked games (minimum 20 games per matchup). Their hardest matchup: Lissandra (42.6% win rate over 54 games). Conversely, Fizz has a more favorable win rate against Yone (68.6%) in the available corpus. Also check out Fizz's build and runes.
Mid Lane1,421 games
Hardest matchups: who counters Fizz
Lissandra54 games · Fizz vs Lissandra42.6%Fizz's WR
Xerath52 games · Fizz vs Xerath46.2%Fizz's WR
Katarina162 games · Fizz vs Katarina48.1%Fizz's WR
Sylas43 games · Fizz vs Sylas46.5%Fizz's WR
Ahri170 games · Fizz vs Ahri48.8%Fizz's WR
Hwei29 games · Fizz vs Hwei48.3%Fizz's WR
Matchups with the most favorable rates for Fizz
Yone35 games · Fizz vs Yone68.6%Fizz's WR
Locke54 games · Fizz vs Locke61.1%Fizz's WR
Yasuo97 games · Fizz vs Yasuo55.7%Fizz's WR
Diana30 games · Fizz vs Diana60.0%Fizz's WR
Veigar30 games · Fizz vs Veigar56.7%Fizz's WR
Viktor73 games · Fizz vs Viktor52.1%Fizz's WR
All Fizz matchups
18 opponents analysed against Fizz. Open a matchup for both sides in detail.
- Fizz vs Ahri49%
- Fizz vs Akali45%
- Fizz vs Diana60%
- Fizz vs Galio55%
- Fizz vs Hwei48%
- Fizz vs Kassadin59%
- Fizz vs Katarina48%
- Fizz vs Lissandra43%
- Fizz vs Locke61%
- Fizz vs Malzahar52%
- Fizz vs Sylas47%
- Fizz vs Syndra50%
- Fizz vs Veigar57%
- Fizz vs Viktor52%
- Fizz vs Xerath46%
- Fizz vs Yasuo56%
- Fizz vs Yone69%
- Fizz vs Zed50%
Frequently asked questions
Who counters Fizz on Patch 26.16?
The champions that counter Fizz the most are Lissandra, Xerath, Katarina. These matchups show the lowest win rates for Fizz across the ranked games analyzed.
Who is Fizz strong against?
Fizz has its best win rates against Yone, Locke, Yasuo. These are favorable matchups to use to win your lane.
How are Fizz's counters calculated?
For every opponent met in the same lane, I measure Fizz'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.