Songs / A# Major · 126 BPM
Over When We're Sober by Brantley Gilbert
Over When We're Sober by Brantley Gilbert is in the key of A# Major and runs at 126 BPM, a steady dance-floor tempo. Its Camelot code is 6B, which is what you match against when you are mixing it harmonically with another track.
What mixes with Over When We're Sober
On the Camelot wheel, Over When We're Sober sits at 6B. These keys blend with it without clashing, so tracks in them are safe to beatmatch in or out:
- 7Benergy boost
- 5Benergy drop
- 6Arelative minor
Mixes well with Over When We're Sober
Real tracks from the database that are both harmonically compatible and close enough in tempo to beatmatch — ±6% on a pitch fader, or half/double time. Same key first, then the nearest energy step on the wheel.
- Happy Xmas (War Is Over) — Annie Villeneuve
- C'est une pute — Fatal Bazooka
- Avec toi — Richard Séguin
- J.S. Bach: Nun komm der Heiden Heiland, Chorale Prelude BWV 659 (Transcr. by Ferruccio Busoni) — Víkingur Ólafsson
- J'veux pas dormir — Marc Dupré
- On voudrait — Richard Séguin
- Blind Vision — Alexandra Streliski
- Aria della Battaglia à 8 — Hesperion Xx
Tracks to mix into it
Other analyzed songs in a compatible key, ready to line up next in a set:
- Semele / Act 2 : Handel: Semele / Act 2: Oh sleep, why dost thou leave me? — Renée Fleming
- Requiem in D Minor, Op. 48: Pie Jesu (Ed. Marc Rigaudière) — Orchestra of the Age of Enlightenment
- Vivaldi: Nulla in Mundo Pax Sincera, RV 630 — Elin Manahan Thomas
- Mozart: Piano Concerto No. 22 in E-Flat Major, K. 482: III. Allegro — Jonathan Biss
- J.S. Bach: Nun komm der Heiden Heiland, Chorale Prelude BWV 659 (Transcr. by Ferruccio Busoni) — Víkingur Ólafsson
- C.P.E. Bach: Rondo II in D Minor, H. 290 — Víkingur Ólafsson
More songs in A# Major
All songs in A# Major →All songs at 126 BPM →Camelot wheel →
These figures come from analyzing an official 30-second preview of the track with TuneBad’s in-browser engine. Tempo and key are reliable, but a preview is a sample of the full song, so treat them as a strong estimate. For an exact read, analyze the full file yourself — it is free and runs entirely in your browser.