Best Kayle Mid Counters
Low Elo data lists Jhin ADC as the strongest counters for Kayle Mid. Kayle Mid is listed as favorable into Kai'Sa ADC and Caitlyn ADC. The detailed info below lists each matchup with observed win rate, expected win rate delta, sample size, rank scope, and patch window.
Updated 2026-11-15. Data is current for LoL patch 26.22 (all regions, low elo and high elo).
Top 1 Low Elo Kayle Mid all-role counters
- Jhin ADC - Low Elo data: Kayle Mid vs Jhin ADC, 52.4% observed win rate, -0.1 percentage points vs expected, 1,040 games, 3-patch window 26.20-26.22.
Top 2 Low Elo all-role champions Kayle Mid is good against
- Kai'Sa ADC - Low Elo data: Kayle Mid vs Kai'Sa ADC, 52.4% observed win rate, +0.4 percentage points vs expected, 1,086 games, 3-patch window 26.20-26.22.
- Caitlyn ADC - Low Elo data: Kayle Mid vs Caitlyn ADC, 52.0% observed win rate, +0.0 percentage points vs expected, 1,007 games, 3-patch window 26.20-26.22.
Top 5 High Elo Kayle Mid all-role counters
- Lulu Support - High Elo data: Kayle Mid vs Lulu Support, 49.7% observed win rate, -0.3 percentage points vs expected, 1,154 games, 3-patch window 26.20-26.22.
- Jhin ADC - High Elo data: Kayle Mid vs Jhin ADC, 49.3% observed win rate, -0.2 percentage points vs expected, 1,459 games, 3-patch window 26.20-26.22.
- Thresh Support - High Elo data: Kayle Mid vs Thresh Support, 48.9% observed win rate, -0.1 percentage points vs expected, 1,167 games, 3-patch window 26.20-26.22.
- Jinx ADC - High Elo data: Kayle Mid vs Jinx ADC, 49.0% observed win rate, -0.0 percentage points vs expected, 1,013 games, 3-patch window 26.20-26.22.
- Kai'Sa ADC - High Elo data: Kayle Mid vs Kai'Sa ADC, 49.8% observed win rate, -0.0 percentage points vs expected, 1,587 games, 3-patch window 26.20-26.22.
Top 1 High Elo all-role champions Kayle Mid is good against
- Ezreal ADC - High Elo data: Kayle Mid vs Ezreal ADC, 54.5% observed win rate, +0.0 percentage points vs expected, 1,000 games, 3-patch window 26.20-26.22.
How these matchup statistics are calculated
Counter and synergy statistics use Ranked Solo/Duo games, exclude matches shorter than 600 seconds, and group results by patch window, region, rank scope, and champion role.
Pairwise pages use a rolling three-patch window and compare observed win rate with a log-odds expected win rate based on each champion's role-adjusted baseline; listed pairs require at least 1,000 games.
Read the full methodology for the model and guidance on interpreting these results.