Vanilla Days by LNGSHOT
Peak position #99
Executive Summary
AI-generated performance analysis
Poor
This song achieves a D (Poor) chart performance rating, peaked at #99.
"Vanilla Days" by LNGSHOT demonstrates emerging chart visibility on Apple Music.
The track has spent 9 days on the Top 100 chart.
From the album "Training Day - EP", released Mar 23, 2026.
- Peak: #99
- 9 days on chart
- Genre: K-Pop
Chart Performance Factors
Key metrics driving this song's chart success
Chart Performance
Peak position achieved on the charts
- Peak position: #99
- Peak date: Mar 27, 2026
Chart Longevity
Total duration on the charts
- 30% of average chart run
- 9 total days on chart
- 9 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.
Category Benchmark
Performance compared to other charting songs
96% below avg
70% below avg
Performance is below the charting songs average. There may be room for improvement.
Chart History & Insights
Performance over time
Currently ranked #100. This is the peak ranking. Ranking is stable.
Peak reached on Mar 28, 2026
Song Preview
Apple Music Reference
Source content being analyzed
0:170Vanilla Days
LNGSHOT
Daily Rank
—
Not charting today
All-Time Rank
#256
Score: 715
Peak Position
#99
Mar 27
Days on Chart
9
2 weeks
Current Streak
9d
Best: 9d
Avg Position
#100
Last 30 days
7-Day Trend
—
Stability
—
points
Ranked #256 all-time
About Rankings
Rankings are based on Apple Music Top 100 charts in South Korea. 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.