Best Poppy Jungle Counters

Low Elo data lists Lee Sin Jungle as the strongest counters for Poppy Jungle. Poppy Jungle is listed as favorable into 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 Poppy Jungle same-role counters

  1. Lee Sin Jungle - Low Elo data: Poppy Jungle vs Lee Sin Jungle, 50.1% observed win rate, -0.6 percentage points vs expected, 1,281 games, 3-patch window 26.20-26.22.

Top 3 Low Elo Poppy Jungle all-role counters

  1. Lee Sin Jungle - Low Elo data: Poppy Jungle vs Lee Sin Jungle, 50.1% observed win rate, -0.6 percentage points vs expected, 1,281 games, 3-patch window 26.20-26.22.
  2. Jhin ADC - Low Elo data: Poppy Jungle vs Jhin ADC, 47.0% observed win rate, -0.6 percentage points vs expected, 1,182 games, 3-patch window 26.20-26.22.
  3. Caitlyn ADC - Low Elo data: Poppy Jungle vs Caitlyn ADC, 49.3% observed win rate, -0.4 percentage points vs expected, 1,216 games, 3-patch window 26.20-26.22.

Top 1 Low Elo all-role champions Poppy Jungle is good against

  1. Kai'Sa ADC - Low Elo data: Poppy Jungle vs Kai'Sa ADC, 49.7% observed win rate, +0.6 percentage points vs expected, 1,299 games, 3-patch window 26.20-26.22.

Top 1 High Elo champions Poppy Jungle is good against

  1. Lee Sin Jungle - High Elo data: Poppy Jungle vs Lee Sin Jungle, 50.4% observed win rate, +0.1 percentage points vs expected, 1,132 games, 3-patch window 26.20-26.22.

Top 1 High Elo all-role champions Poppy Jungle is good against

  1. Lee Sin Jungle - High Elo data: Poppy Jungle vs Lee Sin Jungle, 50.4% observed win rate, +0.1 percentage points vs expected, 1,132 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.