Best Hwei Support Counters

Low Elo data lists Nautilus Support and Lux Support as the strongest counters for Hwei Support. Hwei Support is listed as favorable into Seraphine Support, Leona Support, Lulu Support, and Thresh 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 2 Low Elo Hwei Support same-role counters

  1. Nautilus Support - Low Elo data: Hwei Support vs Nautilus Support, 48.4% observed win rate, -1.4 percentage points vs expected, 1,302 games, 3-patch window 26.20-26.22.
  2. Lux Support - Low Elo data: Hwei Support vs Lux Support, 49.0% observed win rate, -0.4 percentage points vs expected, 1,748 games, 3-patch window 26.20-26.22.

Top 4 Low Elo champions Hwei Support is good against

  1. Seraphine Support - Low Elo data: Hwei Support vs Seraphine Support, 49.8% observed win rate, +0.6 percentage points vs expected, 1,286 games, 3-patch window 26.20-26.22.
  2. Leona Support - Low Elo data: Hwei Support vs Leona Support, 48.8% observed win rate, +0.6 percentage points vs expected, 1,160 games, 3-patch window 26.20-26.22.
  3. Lulu Support - Low Elo data: Hwei Support vs Lulu Support, 52.5% observed win rate, +0.4 percentage points vs expected, 1,043 games, 3-patch window 26.20-26.22.
  4. Thresh Support - Low Elo data: Hwei Support vs Thresh Support, 50.2% observed win rate, +0.2 percentage points vs expected, 1,484 games, 3-patch window 26.20-26.22.

Top 10 Low Elo Hwei Support all-role counters

  1. Jhin ADC - Low Elo data: Hwei Support vs Jhin ADC, 48.0% observed win rate, -1.4 percentage points vs expected, 2,477 games, 3-patch window 26.20-26.22.
  2. Nautilus Support - Low Elo data: Hwei Support vs Nautilus Support, 48.4% observed win rate, -1.4 percentage points vs expected, 1,302 games, 3-patch window 26.20-26.22.
  3. Kai'Sa ADC - Low Elo data: Hwei Support vs Kai'Sa ADC, 48.8% observed win rate, -1.0 percentage points vs expected, 2,389 games, 3-patch window 26.20-26.22.
  4. Viego Jungle - Low Elo data: Hwei Support vs Viego Jungle, 47.0% observed win rate, -0.7 percentage points vs expected, 1,105 games, 3-patch window 26.20-26.22.
  5. Zed Mid - Low Elo data: Hwei Support vs Zed Mid, 48.5% observed win rate, -0.6 percentage points vs expected, 1,057 games, 3-patch window 26.20-26.22.
  6. Yasuo Mid - Low Elo data: Hwei Support vs Yasuo Mid, 48.8% observed win rate, -0.5 percentage points vs expected, 1,380 games, 3-patch window 26.20-26.22.
  7. Yone Mid - Low Elo data: Hwei Support vs Yone Mid, 48.0% observed win rate, -0.5 percentage points vs expected, 1,253 games, 3-patch window 26.20-26.22.
  8. Lux Support - Low Elo data: Hwei Support vs Lux Support, 49.0% observed win rate, -0.4 percentage points vs expected, 1,748 games, 3-patch window 26.20-26.22.
  9. Master Yi Jungle - Low Elo data: Hwei Support vs Master Yi Jungle, 49.7% observed win rate, -0.4 percentage points vs expected, 1,180 games, 3-patch window 26.20-26.22.
  10. Ahri Mid - Low Elo data: Hwei Support vs Ahri Mid, 47.2% observed win rate, -0.3 percentage points vs expected, 1,292 games, 3-patch window 26.20-26.22.

Top 10 Low Elo all-role champions Hwei Support is good against

  1. Yunara ADC - Low Elo data: Hwei Support vs Yunara ADC, 52.5% observed win rate, +1.1 percentage points vs expected, 1,037 games, 3-patch window 26.20-26.22.
  2. Jinx ADC - Low Elo data: Hwei Support vs Jinx ADC, 49.6% observed win rate, +0.8 percentage points vs expected, 1,900 games, 3-patch window 26.20-26.22.
  3. Sett Top - Low Elo data: Hwei Support vs Sett Top, 52.5% observed win rate, +0.8 percentage points vs expected, 1,045 games, 3-patch window 26.20-26.22.
  4. Seraphine Support - Low Elo data: Hwei Support vs Seraphine Support, 49.8% observed win rate, +0.6 percentage points vs expected, 1,286 games, 3-patch window 26.20-26.22.
  5. Miss Fortune ADC - Low Elo data: Hwei Support vs Miss Fortune ADC, 49.9% observed win rate, +0.6 percentage points vs expected, 1,739 games, 3-patch window 26.20-26.22.
  6. Leona Support - Low Elo data: Hwei Support vs Leona Support, 48.8% observed win rate, +0.6 percentage points vs expected, 1,160 games, 3-patch window 26.20-26.22.
  7. Mordekaiser Top - Low Elo data: Hwei Support vs Mordekaiser Top, 48.4% observed win rate, +0.5 percentage points vs expected, 1,015 games, 3-patch window 26.20-26.22.
  8. Lulu Support - Low Elo data: Hwei Support vs Lulu Support, 52.5% observed win rate, +0.4 percentage points vs expected, 1,043 games, 3-patch window 26.20-26.22.
  9. Caitlyn ADC - Low Elo data: Hwei Support vs Caitlyn ADC, 51.4% observed win rate, +0.3 percentage points vs expected, 2,244 games, 3-patch window 26.20-26.22.
  10. Thresh Support - Low Elo data: Hwei Support vs Thresh Support, 50.2% observed win rate, +0.2 percentage points vs expected, 1,484 games, 3-patch window 26.20-26.22.

Top 1 High Elo champions Hwei Support is good against

  1. Thresh Support - High Elo data: Hwei Support vs Thresh Support, 51.5% observed win rate, +1.3 percentage points vs expected, 1,005 games, 3-patch window 26.20-26.22.

Top 3 High Elo Hwei Support all-role counters

  1. Jhin ADC - High Elo data: Hwei Support vs Jhin ADC, 46.0% observed win rate, -2.3 percentage points vs expected, 1,338 games, 3-patch window 26.20-26.22.
  2. Kai'Sa ADC - High Elo data: Hwei Support vs Kai'Sa ADC, 49.1% observed win rate, -0.6 percentage points vs expected, 1,534 games, 3-patch window 26.20-26.22.
  3. Lee Sin Jungle - High Elo data: Hwei Support vs Lee Sin Jungle, 49.1% observed win rate, -0.5 percentage points vs expected, 1,064 games, 3-patch window 26.20-26.22.

Top 1 High Elo all-role champions Hwei Support is good against

  1. Thresh Support - High Elo data: Hwei Support vs Thresh Support, 51.5% observed win rate, +1.3 percentage points vs expected, 1,005 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.