"Leonardo: essenciais" Chart Performance Analysis
Playlist by Apple Music: sertanejo
Executive Summary
AI-generated performance analysis
Poor
This playlist achieves a D (Poor) chart performance rating, peaked at #93.
"Leonardo: essenciais" by Apple Music: sertanejo demonstrates emerging chart visibility on Apple Music.
The playlist has spent 8 days on the Top 100 chart.
- Peak: #93
- 8 days on chart
- Curator: Apple Music: sertanejo
Performance Factors Analysis
Breakdown of key metrics driving performance
Chart Performance
Peak position achieved on the charts
- Peak position: #93
- Peak date: Oct 11, 2026
Chart Longevity
Total duration on the charts
- 27% of average chart run
- 8 total days on chart
- 6 max consecutive days
Chart Stability
Consistency of chart position
- Moderately stable chart position
- Stability index: 50/100
Current Momentum
Recent chart movement trend
- Stable chart position
- Consistent performance
Limited performance signals. Metrics may need improvement.
Benchmark Comparison
Performance compared to Apple Music Playlist Average average
84% below avg
73% below avg
Performance is below the Apple Music Playlist Average average. There may be room for improvement.
Ranking History & Insights
Performance over time
Currently ranked #93. This is the peak ranking. Ranking is stable.
Peak reached on Oct 11, 2026
Current Streak
6d
Best: 6d
Avg Position
#93
Last 30 days
7-Day Trend
—
Stability
—
Apple Music Reference
Source content being analyzed
Leonardo: essenciais
Apple Music: sertanejo
points
Ranked #327 all-time
About Rankings
Rankings are based on Apple Music Top 100 charts in Brazil. Updated daily.
About This Analytics Report
This report is generated by Top1Trend's analytics engine, which tracks Apple Music trending data across 30+ regions since 2024. All metrics are derived from official chart positions via the official Apple Music API.
Top1Trend is an independent analytics service and is not affiliated with, endorsed by, or sponsored by Apple Music. All trademarks belong to their respective owners. Data accuracy depends on platform API availability and may have slight delays from real-time values.