Best Brand ADC Synergies

The best Support with Brand ADC is Nami. The pair wins 56.6% across 1,139 games, 0.5 points more than the two champions' own win rates predict. Based on Low Elo Ranked Solo/Duo games, patches 26.20-26.22. These are observed associations, not guaranteed outcomes. The weakest listed synergies for Brand ADC are Lux Support. The detailed info below lists each partner 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 Brand ADC bot-lane duo synergies with Support

  1. Nami Support - 56.6% win rate with Brand ADC (+0.5 points vs expected), 1,139 games.

Top 1 Low Elo Brand ADC weakest bot-lane duo synergies with Support

  1. Lux Support - 52.9% win rate with Brand ADC (-0.4 points vs expected), 1,068 games.

Top 3 Low Elo Brand ADC all-role strongest synergies

  1. Yasuo Mid - 56.2% win rate with Brand ADC (+2.3 points vs expected), 1,157 games.
  2. Yone Mid - 56.8% win rate with Brand ADC (+1.7 points vs expected), 1,228 games.
  3. Nami Support - 56.6% win rate with Brand ADC (+0.5 points vs expected), 1,139 games.

Top 1 Low Elo Brand ADC all-role weakest synergies

  1. Lux Support - 52.9% win rate with Brand ADC (-0.4 points vs expected), 1,068 games.

Top 1 High Elo Brand ADC bot-lane duo synergies with Support

  1. Nami Support - 53.4% win rate with Brand ADC (+0.2 points vs expected), 2,057 games.

Top 1 High Elo Brand ADC all-role strongest synergies

  1. Nami Support - 53.4% win rate with Brand ADC (+0.2 points vs expected), 2,057 games.

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.