SONG ANALYTICS

Kun Faya Kun by A.R. Rahman, Javed Ali & Mohit Chauhan

Peak position #83

Executive Summary

AI-generated performance analysis

C

Below Average

This song achieves a C (Below Average) chart performance rating, peaked at #83.

"Kun Faya Kun" by A.R. Rahman, Javed Ali & Mohit Chauhan demonstrates moderate chart performance on Apple Music.

The track has spent 33 days on the Top 100 chart.

From the album "Rockstar (Original Motion Picture Soundtrack)", released Sep 30, 2011.

Key Highlights
  • Peak: #83
  • 33 days on chart
  • Genre: Bollywood

Key Insights

AI-generated analysis based on chart performance

Exceptional Chart Longevity

With 33 days on the chart (2.4x the average song), this demonstrates sustained audience interest well beyond typical performance.

Consistent Performance

With a 96/100 stability score ("Stable"), this song maintains a steady chart position, suggesting reliable streaming from a dedicated listener base.

Hot Streak Active

17 consecutive days on the chart (best: 17) demonstrates sustained listener engagement without any gaps in chart presence.

Chart Performance Factors

Key metrics driving this song's chart success

18.8/40
Overall Score

Chart Performance

1.8/10

Peak position achieved on the charts

  • Peak position: #83
  • Peak date: Feb 22, 2026

Chart Longevity

5/10

Total duration on the charts

  • 1.1x longer than average song
  • 33 total days on chart
  • 17 max consecutive days

Chart Stability

7/10

Consistency of chart position

  • Very stable chart performance
  • Stability index: 98/100

Current Momentum

5/10

Recent chart movement trend

  • Stable chart position
  • Consistent performance
Overall Performance47%

Moderate performance. Some factors could be stronger.

Category Benchmark

Performance compared to other charting songs

Top 55%
Peak Position
Top 90%
#83actualvs #83 avg

65% below avg

Days on Chart
Top 50%
33 daysactualvs 30 days avg

1.1x higher than avg

Stability Index
Top 25%
98/100actualvs 50/100 avg

2.0x higher than avg

Performance is below the charting songs average. There may be room for improvement.

Chart History & Insights

Performance over time

Stable
#95
Peak
#98
Current
0
Top 10
0
Top 50

Currently ranked #98. Peak was #95. Ranking is stable.

Peak reached on Feb 21, 2026

Song Preview

Apple Music Reference

Source content being analyzed

Open
Kun Faya Kun0:470

Kun Faya Kun

A.R. Rahman, Javed Ali & Mohit Chauhan

Sep 30, 20110:470
0:0030s preview0:00

Daily Rank

Not charting today

All-Time Rank

#158

Score: 1,345

Peak Position

#83

Feb 22

Days on Chart

33

5 weeks

Performance Breakdown
Top 10033 days
Top 100 days
Top 30 days
#10 days

Current Streak

17d

Best: 17d

Avg Position

#96.8

Last 30 days

7-Day Trend

Stable

Stability

Stable

96/100

Ranking History
Last 4 days performance in India
#1#51#100
Feb 21Feb 26
Detailed Statistics
First Charted2/21/2026
Last Charted2/26/2026
Charting Duration6 days
Days to Peak1 days
Days at #10
Days in Top 30
Days in Top 100
Days in Top 10033
All-Time Score
1,345

points

Ranked #158 all-time

Song Information
AlbumRockstar (Original Motion Picture Soundtrack)
ArtistA.R. Rahman, Javed Ali & Mohit Chauhan
Duration7:50
Released9/30/2011
ISRCINS181103501
GenreBollywood, Music, Indian, Soundtrack
Recent Rankings
#98
Feb 26
#97
Feb 25
#97
Feb 22
#95
Feb 21

About Rankings

Rankings are based on Apple Music Top 100 charts in India. Updated daily.

About This Analytics Report

Official Data

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.

Data Source
Apple Music API
Last Updated

Feb 26, 2026, 12:00 AM

Tracking Since

2026-02-21

Region

in

Official API DataReal-time UpdatesHistorical Archives

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.