Bard LoL Stats, Builds, Counters and Synergies
RiftMind tracks Bard champion stats by role, including win rate, pick rate, builds, counters, matchups, and synergies for League of Legends draft analysis.
Updated 2026-11-15. Data is current for LoL patch 26.22 (all regions, low elo and high elo).
Bard role performance snapshot
- Bard Support stats - Bard Support has 48.4% win rate, 2.2% pick rate, and 23,875 ranked games in the current RiftMind data set. Win rate changed +0.1 percentage points from the comparison patch. Pick rate changed -0.1 percentage points from the comparison patch.
Top 5 Low Elo Bard counter matchups
- Tahm Kench Support - Low Elo data: Bard Support vs Tahm Kench Support, 44.5% observed win rate, -1.4 percentage points vs expected, 1,333 games, 3-patch window 26.20-26.22.
- Yuumi Support - Low Elo data: Bard Support vs Yuumi Support, 47.5% observed win rate, -1.2 percentage points vs expected, 2,222 games, 3-patch window 26.20-26.22.
- Samira ADC - Low Elo data: Bard Support vs Samira ADC, 46.1% observed win rate, -1.1 percentage points vs expected, 1,608 games, 3-patch window 26.20-26.22.
- Master Yi Jungle - Low Elo data: Bard Support vs Master Yi Jungle, 45.4% observed win rate, -1.1 percentage points vs expected, 3,222 games, 3-patch window 26.20-26.22.
- Pyke Support - Low Elo data: Bard Support vs Pyke Support, 48.0% observed win rate, -1.0 percentage points vs expected, 2,431 games, 3-patch window 26.20-26.22.
Top 5 Low Elo champions Bard is good against
- Gangplank Top - Low Elo data: Bard Support vs Gangplank Top, 52.0% observed win rate, +1.5 percentage points vs expected, 1,941 games, 3-patch window 26.20-26.22.
- Milio Support - Low Elo data: Bard Support vs Milio Support, 49.8% observed win rate, +1.4 percentage points vs expected, 2,015 games, 3-patch window 26.20-26.22.
- Sivir ADC - Low Elo data: Bard Support vs Sivir ADC, 51.5% observed win rate, +1.3 percentage points vs expected, 1,673 games, 3-patch window 26.20-26.22.
- Xerath Support - Low Elo data: Bard Support vs Xerath Support, 50.4% observed win rate, +1.1 percentage points vs expected, 1,517 games, 3-patch window 26.20-26.22.
- Varus ADC - Low Elo data: Bard Support vs Varus ADC, 52.1% observed win rate, +1.0 percentage points vs expected, 1,499 games, 3-patch window 26.20-26.22.
Top 5 Low Elo Bard strongest synergies
- Ezreal ADC - 46.7% win rate with Bard Support (+1.5 points vs expected), 7,457 games.
- Ziggs ADC - 52.2% win rate with Bard Support (+0.7 points vs expected), 1,262 games.
- Jhin ADC - 48.8% win rate with Bard Support (+0.6 points vs expected), 11,354 games.
- Sylas Mid - 48.9% win rate with Bard Support (+0.3 points vs expected), 2,631 games.
- Katarina Mid - 49.1% win rate with Bard Support (+0.3 points vs expected), 2,409 games.
Top 5 Low Elo Bard weakest synergies
- Aphelios ADC - 45.5% win rate with Bard Support (-1.3 points vs expected), 2,094 games.
- Yunara ADC - 46.2% win rate with Bard Support (-1.0 points vs expected), 2,816 games.
- Sivir ADC - 47.3% win rate with Bard Support (-1.0 points vs expected), 2,224 games.
- Xayah ADC - 48.4% win rate with Bard Support (-0.9 points vs expected), 2,194 games.
- Zeri ADC - 47.0% win rate with Bard Support (-0.7 points vs expected), 1,003 games.
Top 5 High Elo Bard counter matchups
- Katarina Mid - High Elo data: Bard Support vs Katarina Mid, 43.7% observed win rate, -2.5 percentage points vs expected, 3,700 games, 3-patch window 26.20-26.22.
- Kai'Sa ADC - High Elo data: Bard Support vs Kai'Sa ADC, 46.7% observed win rate, -2.3 percentage points vs expected, 13,221 games, 3-patch window 26.20-26.22.
- Samira ADC - High Elo data: Bard Support vs Samira ADC, 47.8% observed win rate, -1.3 percentage points vs expected, 1,409 games, 3-patch window 26.20-26.22.
- Vayne ADC - High Elo data: Bard Support vs Vayne ADC, 48.3% observed win rate, -1.3 percentage points vs expected, 1,433 games, 3-patch window 26.20-26.22.
- Qiyana Mid - High Elo data: Bard Support vs Qiyana Mid, 44.2% observed win rate, -1.2 percentage points vs expected, 1,535 games, 3-patch window 26.20-26.22.
Top 5 High Elo champions Bard is good against
- Lux Mid - High Elo data: Bard Support vs Lux Mid, 52.3% observed win rate, +1.7 percentage points vs expected, 1,978 games, 3-patch window 26.20-26.22.
- Smolder ADC - High Elo data: Bard Support vs Smolder ADC, 52.0% observed win rate, +1.4 percentage points vs expected, 1,974 games, 3-patch window 26.20-26.22.
- Jinx ADC - High Elo data: Bard Support vs Jinx ADC, 49.0% observed win rate, +1.2 percentage points vs expected, 7,583 games, 3-patch window 26.20-26.22.
- Hwei Mid - High Elo data: Bard Support vs Hwei Mid, 50.0% observed win rate, +1.2 percentage points vs expected, 2,213 games, 3-patch window 26.20-26.22.
- Veigar Mid - High Elo data: Bard Support vs Veigar Mid, 49.6% observed win rate, +1.2 percentage points vs expected, 1,362 games, 3-patch window 26.20-26.22.
Top 5 High Elo Bard strongest synergies
- Ezreal ADC - 46.8% win rate with Bard Support (+1.3 points vs expected), 12,525 games.
- Caitlyn ADC - 48.9% win rate with Bard Support (+1.2 points vs expected), 13,743 games.
- Ziggs ADC - 52.4% win rate with Bard Support (+1.0 points vs expected), 1,787 games.
- Jhin ADC - 49.6% win rate with Bard Support (+1.0 points vs expected), 20,727 games.
- Lee Sin Jungle - 49.5% win rate with Bard Support (+0.7 points vs expected), 9,572 games.
Top 5 High Elo Bard weakest synergies
- Jinx ADC - 48.0% win rate with Bard Support (-1.5 points vs expected), 4,853 games.
- Yunara ADC - 47.3% win rate with Bard Support (-1.2 points vs expected), 3,654 games.
- Xayah ADC - 49.1% win rate with Bard Support (-1.1 points vs expected), 3,547 games.
- Aphelios ADC - 47.9% win rate with Bard Support (-0.6 points vs expected), 3,330 games.
- Tristana ADC - 48.5% win rate with Bard Support (-0.6 points vs expected), 3,350 games.
How RiftMind calculates these stats
RiftMind calculates these statistics from Ranked Solo/Duo match records filtered by patch, region, rank scope, champion, and role.
Champion role, build, rune, and item summaries use patch-specific aggregates, while counter and synergy pages compare observed results with role-adjusted expectations over a rolling patch window.
Read the full methodology for the data filters and interpretation guidance.