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Playlist Guide

If you could choose only 1 song! (Collaborative playlist) on Spotify (14 Songs)

If you could choose only 1 song! (Collaborative playlist), curated by Tushar Mathur. Explore its listening context, dated playlist analysis, and Spotify prev…

Analysis by PlaylistScaler · Playlists credited to their Spotify curators

1 playlist
If you could choose only 1 song! (Collaborative playlist) Spotify playlist artwork
1playlist analyzed

Original playlist analysis by PlaylistScaler

A compact collaborative set that leans toward alternative and rock, with folk, dance and electronic touches around the edges. It suits listeners who want varied song picks rather than a tightly unified genre program.

Inside the playlist

  1. If you could choose only 1 song! (Collaborative playlist) artwork

    If you could choose only 1 song! (Collaborative playlist)

    Curated by Tushar Mathur

    Eclectic alternative picks

    Alternative and rock form the clearest thread, while KAWALA, Skinshape, Zach Winters and Parcels point to a broad, song-first selection. The mix also reaches into folk, dance and electronic music, so it is better for variety than for one consistent sound.

    Top genres

    • alternative 6 tracks
    • rock 4 tracks
    • dance 1 tracks
    Tracks
    14
    Playing time
    1h 25m
    Marked explicit
    0
    Followers
    31

    Measured examples

    • MoonlightKAWALA173 BPMEnergy 0.36 / 1
    • Love My WomanZach Winters86 BPMEnergy 0.26 / 1
    • IknowhowIfeelParcels114 BPMEnergy 0.64 / 1

    Shazam measurements via artist.tools · retrieved Oct 9, 2026.

    Sources & full analysis Checked Oct 9, 2026
    Track entries
    14
    Distinct tracks
    14
    Repeated entries
    0
    Distinct artists
    15
    Playing time
    1h 25m · 100% duration coverage
    Explicit flags
    0 marked explicit · 100% coverage
    Track genre labels
    alternative, rock, dance, electronic, folk · 85.71% coverage
    Audio measurements
    8 of 14 distinct tracks · 57.14% coverage
    Follower change
    0 · Sep 14, 2026 to Oct 6, 2026

    Spotify playlist observations, genre labels via artist.tools. Calculations by PlaylistScaler. How to read this analysis.

Tracklist

All 14 distinct tracks, in playlist order as of Oct 9, 2026.

  1. MoonlightKAWALA
  2. I Won't Be ThereSkinshape
  3. Love My WomanZach Winters
  4. I Like What You're Doing To Me - Radio MixSoul Bombs
  5. IknowhowIfeelParcels
  6. Anyone Who Knows What Love Is (Will Understand)Irma Thomas
  7. Redstripe RhapsodyLAUSSE THE CAT
  8. Off The Main DragLeif Vollebekk
  9. LunePeriphery
  10. JulepPunch Brothers
  11. Gone in Bloom and BoughCaspian
  12. The RiverKing Gizzard & The Lizard Wizard
  13. Come Sail AwayStyx
  14. Day 3: When You Want to LoveTom Misch, Will Heard

How we analyzed this playlist

PlaylistScaler analyzes observed Spotify playlist contents. Audio measurements, where shown, come from Shazam through artist.tools. Playlists belong to their credited curators.

Sources, coverage & limitations

Automatic genre picks need a matching title or assigned topic, or supporting track genre labels. Editors can also select crossovers.

Observation dates appear with each playlist. Track examples are a small sample. Missing measurements are excluded, never counted as zero. Audio medians require measurements for at least ten distinct tracks and 80% of the playlist’s distinct tracks. The middle half is the range from the 25th to the 75th percentile.

Energy, danceability and other audio scores describe the recordings on a 0–1 scale; they do not measure listener outcomes or musical quality. Acousticness does not establish the absence of vocals. Explicit flags are metadata, and unmarked tracks are not a guarantee of suitability.

Track overlap uses shared distinct tracks divided by the combined distinct tracks. Repeated entries are counted separately from unique tracks. Genre labels can overlap: one track may have several labels. Follower counts and changes describe audience size, not listening activity or musical quality. Results apply to the playlists compared here, not all of Spotify.

Measurement coverage for each playlist is listed in its "Sources & full analysis" panel. "Best for" picks compare only playlists that have the measurement. Most-added songs count each song once per playlist, across the playlists whose track lists could be read.

AI assists with descriptions grounded in these observations. Supporting evidence changes can retire that commentary until it is refreshed. About the methodology · Suggest a correction.

Summarize with AI: