Best Jayce Mid Counters

Low Elo data lists Yasuo Mid as the strongest counters for Jayce Mid. Jayce Mid is listed as favorable into Ahri 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 1 Low Elo Jayce Mid same-role counters

  1. Yasuo Mid - Low Elo data: Jayce Mid vs Yasuo Mid, 46.1% observed win rate, -1.8 percentage points vs expected, 1,099 games, 3-patch window 26.20-26.22.

Top 2 Low Elo champions Jayce Mid is good against

  1. Ahri Mid - Low Elo data: Jayce Mid vs Ahri Mid, 48.0% observed win rate, +0.4 percentage points vs expected, 1,065 games, 3-patch window 26.20-26.22.
  2. Yone Mid - Low Elo data: Jayce Mid vs Yone Mid, 47.6% observed win rate, +0.2 percentage points vs expected, 1,167 games, 3-patch window 26.20-26.22.

Top 10 Low Elo Jayce Mid all-role counters

  1. Yasuo Mid - Low Elo data: Jayce Mid vs Yasuo Mid, 46.1% observed win rate, -1.8 percentage points vs expected, 1,099 games, 3-patch window 26.20-26.22.
  2. Nautilus Support - Low Elo data: Jayce Mid vs Nautilus Support, 46.9% observed win rate, -0.4 percentage points vs expected, 1,235 games, 3-patch window 26.20-26.22.
  3. Jhin ADC - Low Elo data: Jayce Mid vs Jhin ADC, 47.4% observed win rate, -0.3 percentage points vs expected, 1,968 games, 3-patch window 26.20-26.22.
  4. Ezreal ADC - Low Elo data: Jayce Mid vs Ezreal ADC, 51.1% observed win rate, -0.3 percentage points vs expected, 1,400 games, 3-patch window 26.20-26.22.
  5. Malphite Top - Low Elo data: Jayce Mid vs Malphite Top, 45.6% observed win rate, -0.2 percentage points vs expected, 1,301 games, 3-patch window 26.20-26.22.
  6. Miss Fortune ADC - Low Elo data: Jayce Mid vs Miss Fortune ADC, 46.3% observed win rate, -0.2 percentage points vs expected, 1,314 games, 3-patch window 26.20-26.22.
  7. Jinx ADC - Low Elo data: Jayce Mid vs Jinx ADC, 46.6% observed win rate, -0.2 percentage points vs expected, 1,456 games, 3-patch window 26.20-26.22.
  8. Thresh Support - Low Elo data: Jayce Mid vs Thresh Support, 46.9% observed win rate, -0.1 percentage points vs expected, 1,227 games, 3-patch window 26.20-26.22.
  9. Kai'Sa ADC - Low Elo data: Jayce Mid vs Kai'Sa ADC, 48.2% observed win rate, -0.0 percentage points vs expected, 1,894 games, 3-patch window 26.20-26.22.
  10. Seraphine Support - Low Elo data: Jayce Mid vs Seraphine Support, 47.3% observed win rate, -0.0 percentage points vs expected, 1,011 games, 3-patch window 26.20-26.22.

Top 5 Low Elo all-role champions Jayce Mid is good against

  1. Ahri Mid - Low Elo data: Jayce Mid vs Ahri Mid, 48.0% observed win rate, +0.4 percentage points vs expected, 1,065 games, 3-patch window 26.20-26.22.
  2. Caitlyn ADC - Low Elo data: Jayce Mid vs Caitlyn ADC, 50.9% observed win rate, +0.3 percentage points vs expected, 1,743 games, 3-patch window 26.20-26.22.
  3. Yone Mid - Low Elo data: Jayce Mid vs Yone Mid, 47.6% observed win rate, +0.2 percentage points vs expected, 1,167 games, 3-patch window 26.20-26.22.
  4. Lee Sin Jungle - Low Elo data: Jayce Mid vs Lee Sin Jungle, 52.5% observed win rate, +0.2 percentage points vs expected, 1,258 games, 3-patch window 26.20-26.22.
  5. Lux Support - Low Elo data: Jayce Mid vs Lux Support, 48.5% observed win rate, +0.0 percentage points vs expected, 1,195 games, 3-patch window 26.20-26.22.

Top 1 High Elo champions Jayce Mid is good against

  1. Yone Mid - High Elo data: Jayce Mid vs Yone Mid, 51.1% observed win rate, +1.4 percentage points vs expected, 1,072 games, 3-patch window 26.20-26.22.

Top 6 High Elo Jayce Mid all-role counters

  1. Nautilus Support - High Elo data: Jayce Mid vs Nautilus Support, 47.7% observed win rate, -0.6 percentage points vs expected, 1,391 games, 3-patch window 26.20-26.22.
  2. Thresh Support - High Elo data: Jayce Mid vs Thresh Support, 46.0% observed win rate, -0.5 percentage points vs expected, 1,665 games, 3-patch window 26.20-26.22.
  3. Kai'Sa ADC - High Elo data: Jayce Mid vs Kai'Sa ADC, 48.4% observed win rate, -0.4 percentage points vs expected, 2,273 games, 3-patch window 26.20-26.22.
  4. Malphite Top - High Elo data: Jayce Mid vs Malphite Top, 48.2% observed win rate, -0.4 percentage points vs expected, 1,582 games, 3-patch window 26.20-26.22.
  5. Yunara ADC - High Elo data: Jayce Mid vs Yunara ADC, 48.2% observed win rate, -0.2 percentage points vs expected, 1,196 games, 3-patch window 26.20-26.22.
  6. Lulu Support - High Elo data: Jayce Mid vs Lulu Support, 50.9% observed win rate, -0.1 percentage points vs expected, 1,483 games, 3-patch window 26.20-26.22.

Top 7 High Elo all-role champions Jayce Mid is good against

  1. Yone Mid - High Elo data: Jayce Mid vs Yone Mid, 51.1% observed win rate, +1.4 percentage points vs expected, 1,072 games, 3-patch window 26.20-26.22.
  2. Caitlyn ADC - High Elo data: Jayce Mid vs Caitlyn ADC, 52.7% observed win rate, +0.4 percentage points vs expected, 1,142 games, 3-patch window 26.20-26.22.
  3. Qiyana Jungle - High Elo data: Jayce Mid vs Qiyana Jungle, 53.2% observed win rate, +0.4 percentage points vs expected, 1,063 games, 3-patch window 26.20-26.22.
  4. Lee Sin Jungle - High Elo data: Jayce Mid vs Lee Sin Jungle, 51.8% observed win rate, +0.3 percentage points vs expected, 1,814 games, 3-patch window 26.20-26.22.
  5. Jhin ADC - High Elo data: Jayce Mid vs Jhin ADC, 50.3% observed win rate, +0.3 percentage points vs expected, 2,246 games, 3-patch window 26.20-26.22.
  6. Ezreal ADC - High Elo data: Jayce Mid vs Ezreal ADC, 53.5% observed win rate, +0.2 percentage points vs expected, 1,536 games, 3-patch window 26.20-26.22.
  7. Jinx ADC - High Elo data: Jayce Mid vs Jinx ADC, 46.9% observed win rate, +0.1 percentage points vs expected, 1,345 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.