Original playlist analysis by PlaylistScaler
Choose among theme-led sets, F1 movie songs, social-edit favorites, club-oriented selections and looser collections that use racing mainly as a frame. The notes distinguish each playlist by its current track examples and how directly those examples connect to Formula 1.
Best for
- Most followedF1 PLAYLIST 2026 | F1 VIBES 🏎️ 💨 170,831 followers
- Fastest growingF1 Playlist 2026 | F1 Racing 🎶🏁 +144 followers a day
- Most tracksScuderia Ferrari F1 Team™ 2,788 tracks
Find your starting point
- Brazilian artist focusF1
- Theme meets current popF1 PLAYLIST 2026 | F1 VIBES 🏎️ 💨
- Movie songs and fan favoritesFormula 1 vibes🏎💨
Playlist picks
Each playlist is credited to its Spotify curator.
Filipe Ret, Matuê, L7NNON and Costa Gold define the sample, with no obvious Formula 1 soundtrack connection. Pick this for those artists rather than a theme-led racing mix.
- Followers
- 4,941
- Tracks
- 1,242
- Followers per day
- 0
- Monthly listeners (est.)
- 20–50
Newest track added Oct 6, 2026 · figures via artist.tools.
Brian Tyler’s Formula 1 Theme anchors a broad selection that also reaches Tate McRae, The Kid LAROI and Syzz. It suits a mainstream F1 atmosphere without staying inside soundtrack material.
- Followers
- 170,831
- Tracks
- 595
- Followers per day
- +83
- Monthly listeners (est.)
- 6,500–19,400
- Most listeners in
- Calgary, CA
Newest track added Oct 8, 2026 · figures via artist.tools.
Two F1 The Movie songs sit alongside Starboy, Ferrari and Smooth Operator. This is a concise choice for recognizable pop selections with direct film ties.
- Followers
- 157,266
- Tracks
- 111
- Followers per day
- -32
- Monthly listeners (est.)
- 5,200–15,700
- Most listeners in
- Amsterdam, NL
Newest track added Oct 8, 2026 · figures via artist.tools.
The sample moves from Sean Paul and Morix to Brian Tyler’s theme and Syzz. It offers a mixed popular-music approach rather than concentrating on film or score material.
- Followers
- 45,663
- Tracks
- 116
- Followers per day
- +144
- Monthly listeners (est.)
- 2,900–8,600
- Most listeners in
- São Paulo, BR
Newest track added Oct 5, 2026 · figures via artist.tools.
Brian Tyler’s theme appears beside cover and André Rieu versions, followed in the sample by Friday and Smooth Operator. That combination makes this a natural option for listeners drawn to the music used around fan edits.
- Followers
- 20,008
- Tracks
- 151
- Followers per day
- -4
- Monthly listeners (est.)
- 70–200
- Most listeners in
- Prague, CZ
Newest track added Oct 4, 2026 · figures via artist.tools.
Don Toliver and Doja Cat, ABBA and KRYPT surround Brian Tyler’s Formula 1 Theme in the sample. Choose it for a broad contemporary mix with a clear racing cue rather than a dedicated soundtrack set.
- Followers
- 16,962
- Tracks
- 87
- Followers per day
- +21
- Monthly listeners (est.)
- 760–2,300
- Most listeners in
- Mexico City, MX
Newest track added Oct 8, 2026 · figures via artist.tools.
Every sampled track features The Weeknd, including collaborations with Daft Punk, Swedish House Mafia and Anitta. The Formula 1 connection comes from the playlist framing, while the music sample points to an artist-focused pop selection.
- Followers
- 7,584
- Tracks
- 138
- Followers per day
- 0
- Monthly listeners (est.)
- 30–80
Newest track added Sep 25, 2026 · figures via artist.tools.
The curator frames this as a car-fan mix spanning EDM, metal, rock and pop. Hans Zimmer’s Lost but Won supplies the clearest cinematic cue in the sample, while the other examples are not explicitly labeled as Formula 1 material.
- Followers
- 5,862
- Tracks
- 41
- Followers per day
- 0
- Monthly listeners (est.)
- 20–60
- Most listeners in
- São Paulo, BR
Newest track added Oct 5, 2026 · figures via artist.tools.
The curator presents this as music inspired by F1 The Movie, but the sampled tracks are not explicitly labeled as songs from the film. Consider it an adjacent discovery set rather than a direct route to the movie soundtrack.
- Followers
- 4,337
- Tracks
- 43
- Followers per day
- -1
- Monthly listeners (est.)
- 10–40
- Most listeners in
- London, GB
Newest track added Sep 21, 2026 · figures via artist.tools.
Brian Tyler’s theme and Tate McRae’s Just Keep Watching sit with Sickick, a slowed Able Heart track and Syzz. It is the clearest fit for an edit-oriented mix that still retains direct F1 references.
- Followers
- 3,435
- Tracks
- 114
- Followers per day
- 0
- Monthly listeners (est.)
- 10–30
Newest track added Sep 26, 2026 · figures via artist.tools.
Duke Dumont, MEDUZA, Regard, Watermät and RÜFÜS DU SOL give the sample a club-focused identity. The Ferrari connection is carried by the playlist title rather than the named examples.
- Followers
- 3,242
- Tracks
- 2,788
- Followers per day
- +1
- Monthly listeners (est.)
- 20–60
Newest track added Oct 7, 2026 · figures via artist.tools.
A Carmen orchestral selection, Bottas, Smooth Operator, Daft Punk and Bad Bunny make this the most stylistically scattered sample. It fits listeners who want F1 references folded into a wide personal mix rather than a focused race soundtrack.
- Followers
- 2,717
- Tracks
- 649
- Followers per day
- 0
- Monthly listeners (est.)
- 10–30
Newest track added Oct 5, 2026 · figures via artist.tools.
Songs on the most F1 playlists
Counted across the 12 playlists in this guide with readable track lists; each song counts once per playlist.
- Formula 1 ThemeBrian Tyler8 playlists422,744 combined followers
- FerrariJames Hype, Miggy Dela Rosa7 playlists253,635 combined followers
- StarboyThe Weeknd, Daft Punk6 playlists404,787 combined followers
- Friday (feat. Mufasa & Hypeman) - Dopamine Re-EditRiton, Nightcrawlers, Mufasa & Hypeman6 playlists404,069 combined followers
- Tokyo Drift (Fast & Furious) - From "The Fast And The Furious: Tokyo Drift" SoundtrackTeriyaki Boyz5 playlists384,061 combined followers
- Smooth Operator - Single VersionSade5 playlists368,502 combined followers
- I'm Good (Blue)David Guetta, Bebe Rexha5 playlists243,757 combined followers
- I Gotta FeelingBlack Eyed Peas5 playlists200,195 combined followers
- MONACOBad Bunny4 playlists355,689 combined followers
- Way down We GoKALEO4 playlists334,249 combined followers
- No LieSean Paul, Dua Lipa4 playlists244,086 combined followers
- Poker FaceLady Gaga4 playlists241,040 combined followers
- Gimme Gimme Gimme (a man after midnight)Syzz4 playlists222,646 combined followers
- Dangerous (feat. Sam Martin)David Guetta, Sam Martin4 playlists222,646 combined followers
- Feel So Close - Radio EditCalvin Harris4 playlists222,453 combined followers
How we compared these playlists
PlaylistScaler analyzes observed Spotify playlist contents. Audio measurements, where shown, come from Shazam through artist.tools. Follower growth, listener estimates and listener cities for the wider selection come from 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.