Best Ryze Top Counters

Low Elo data lists Jhin ADC, Caitlyn ADC, and Kai'Sa ADC as the strongest counters for Ryze Top. Ryze Top is listed as favorable into Kai'Sa ADC and Lulu Support. 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 3 Low Elo Ryze Top all-role counters

  1. Jhin ADC - Low Elo data: Ryze Top vs Jhin ADC, 46.7% observed win rate, -0.3 percentage points vs expected, 1,237 games, 3-patch window 26.20-26.22.
  2. Caitlyn ADC - Low Elo data: Ryze Top vs Caitlyn ADC, 48.6% observed win rate, -0.1 percentage points vs expected, 1,096 games, 3-patch window 26.20-26.22.
  3. Kai'Sa ADC - Low Elo data: Ryze Top vs Kai'Sa ADC, 47.9% observed win rate, -0.1 percentage points vs expected, 1,303 games, 3-patch window 26.20-26.22.

Top 3 High Elo Ryze Top all-role counters

  1. Thresh Support - High Elo data: Ryze Top vs Thresh Support, 45.3% observed win rate, -0.3 percentage points vs expected, 1,043 games, 3-patch window 26.20-26.22.
  2. Jhin ADC - High Elo data: Ryze Top vs Jhin ADC, 49.3% observed win rate, -0.2 percentage points vs expected, 1,380 games, 3-patch window 26.20-26.22.
  3. Lee Sin Jungle - High Elo data: Ryze Top vs Lee Sin Jungle, 49.3% observed win rate, -0.1 percentage points vs expected, 1,135 games, 3-patch window 26.20-26.22.

Top 2 High Elo all-role champions Ryze Top is good against

  1. Kai'Sa ADC - High Elo data: Ryze Top vs Kai'Sa ADC, 49.8% observed win rate, +0.2 percentage points vs expected, 1,607 games, 3-patch window 26.20-26.22.
  2. Lulu Support - High Elo data: Ryze Top vs Lulu Support, 49.6% observed win rate, +0.0 percentage points vs expected, 1,011 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.