Best Renekton Mid Counters

Low Elo data lists Kai'Sa ADC as the strongest counters for Renekton Mid. Renekton Mid is listed as favorable into Yasuo Mid and Yone Mid. 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 2 Low Elo champions Renekton Mid is good against

  1. Yasuo Mid - Low Elo data: Renekton Mid vs Yasuo Mid, 54.9% observed win rate, +3.5 percentage points vs expected, 2,812 games, 3-patch window 26.20-26.22.
  2. Yone Mid - Low Elo data: Renekton Mid vs Yone Mid, 53.2% observed win rate, +2.0 percentage points vs expected, 1,089 games, 3-patch window 26.20-26.22.

Top 1 Low Elo Renekton Mid all-role counters

  1. Kai'Sa ADC - Low Elo data: Renekton Mid vs Kai'Sa ADC, 49.0% observed win rate, -0.7 percentage points vs expected, 1,015 games, 3-patch window 26.20-26.22.

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

  1. Yasuo Mid - Low Elo data: Renekton Mid vs Yasuo Mid, 54.9% observed win rate, +3.5 percentage points vs expected, 2,812 games, 3-patch window 26.20-26.22.
  2. Yone Mid - Low Elo data: Renekton Mid vs Yone Mid, 53.2% observed win rate, +2.0 percentage points vs expected, 1,089 games, 3-patch window 26.20-26.22.

Top 1 High Elo champions Renekton Mid is good against

  1. Yasuo Mid - High Elo data: Renekton Mid vs Yasuo Mid, 51.9% observed win rate, +2.6 percentage points vs expected, 1,721 games, 3-patch window 26.20-26.22.

Top 1 High Elo all-role champions Renekton Mid is good against

  1. Yasuo Mid - High Elo data: Renekton Mid vs Yasuo Mid, 51.9% observed win rate, +2.6 percentage points vs expected, 1,721 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.