Best Xerath ADC Synergies
The best partner with Xerath ADC is Yasuo Mid. The pair wins 57.3% across 1,264 games, 1.9 points more than the two champions' own win rates predict. Yone Mid (+1.3 over 1,362 games) also over-performs. 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 Xerath 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 Xerath ADC weakest bot-lane duo synergies with Support
- Lux Support - 52.1% win rate with Xerath ADC (-0.4 points vs expected), 1,773 games.
Top 2 Low Elo Xerath ADC all-role strongest synergies
Top 1 Low Elo Xerath ADC all-role weakest synergies
- Lux Support - 52.1% win rate with Xerath ADC (-0.4 points vs expected), 1,773 games.
Top 2 High Elo Xerath ADC weakest bot-lane duo synergies with Support
- Senna Support - 50.7% win rate with Xerath ADC (-0.3 points vs expected), 1,039 games.
- Nami Support - 51.3% win rate with Xerath ADC (-0.0 points vs expected), 1,451 games.
Top 5 High Elo Xerath ADC all-role strongest synergies
- Yasuo Mid - 53.8% win rate with Xerath ADC (+2.1 points vs expected), 1,296 games.
- Yone Mid - 53.8% win rate with Xerath ADC (+1.2 points vs expected), 1,454 games.
- Zed Mid - 53.4% win rate with Xerath ADC (+1.2 points vs expected), 1,344 games.
- Graves Jungle - 50.9% win rate with Xerath ADC (+0.5 points vs expected), 1,211 games.
- Lee Sin Jungle - 50.1% win rate with Xerath ADC (+0.0 points vs expected), 1,699 games.
Top 2 High Elo Xerath ADC all-role weakest synergies
- Senna Support - 50.7% win rate with Xerath ADC (-0.3 points vs expected), 1,039 games.
- Nami Support - 51.3% win rate with Xerath ADC (-0.0 points vs expected), 1,451 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.