Best Gragas Mid Counters

Low Elo data lists Jhin ADC as the strongest counters for Gragas Mid. Gragas Mid is listed as favorable into Caitlyn ADC and Kai'Sa 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 Gragas Mid all-role counters

  1. Jhin ADC - Low Elo data: Gragas Mid vs Jhin ADC, 48.8% observed win rate, -0.4 percentage points vs expected, 1,163 games, 3-patch window 26.20-26.22.

Top 2 Low Elo all-role champions Gragas Mid is good against

  1. Caitlyn ADC - Low Elo data: Gragas Mid vs Caitlyn ADC, 52.7% observed win rate, +0.2 percentage points vs expected, 1,149 games, 3-patch window 26.20-26.22.
  2. Kai'Sa ADC - Low Elo data: Gragas Mid vs Kai'Sa ADC, 50.9% observed win rate, +0.2 percentage points vs expected, 1,194 games, 3-patch window 26.20-26.22.

Top 1 High Elo Gragas Mid all-role counters

  1. Thresh Support - High Elo data: Gragas Mid vs Thresh Support, 47.8% observed win rate, -1.0 percentage points vs expected, 1,039 games, 3-patch window 26.20-26.22.

Top 2 High Elo all-role champions Gragas Mid is good against

  1. Kai'Sa ADC - High Elo data: Gragas Mid vs Kai'Sa ADC, 53.8% observed win rate, +0.4 percentage points vs expected, 1,487 games, 3-patch window 26.20-26.22.
  2. Jhin ADC - High Elo data: Gragas Mid vs Jhin ADC, 55.2% observed win rate, +0.0 percentage points vs expected, 1,200 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.