Walt Disney Records announced the Original Soundtrack release for Pixar Animation Studio's series Win or Lose on February 21. The soundtrack will be available for streaming on Amazon, Apple Music, Spotify and other digital platforms. Win or Lose is directed, written and executive produced by Carrie Hobson and Michael Yates, and produced by David Lally. The first two episodes of the eight-episode series begin streaming on Disney+ Feb. 19, 2025.
The Win or Lose soundtrack features the original score from award-winning composer Ramin Djawadi and the original songs and music from multi-platinum award-winning songwriters Shane Eli and Jonny Pakfar (collectively known as CAMPFIRE) who have previously worked with Pixar Animation Studios on Elemental and Dream Productions.
Said CAMPFIRE, "Pixar continues to raise the bar with their storytelling and we are proud to be part of something so beautifully told. Collaborating with Ramin on the music has been one of the most fulfilling experiences of our careers and we hope these songs find a place in people's hearts the way this show has in ours."
Added Djawadi, "Carrie Hobson and Michael Yates' creative vision for Win or Lose presented a unique opportunity to explore each character musically. The fresh perspectives between episodes allowed the score to feature a wide range of styles and instruments while navigating the characters' nuanced emotional experiences. Campfire's striking songs fuse with the score to create a meaningful soundtrack for Win or Lose that I hope will resonate with viewers everywhere."
A brand-new original series from Pixar Animation Studios, Win or Lose follows the Pickles, a co-ed middle school softball team, in the week leading up to their championship game. Each episode offers a look inside the off-the-field life of a character - a player, their parent, the umpire—revealing their funny, emotional and always relatable point of view in a unique visual style. The music captures the characters and their stories in a modern and relatable fashion to perfectly complement the series.