Sleep Score
Sleep Score is a proprietary composite metric that summarizes overall sleep in a single number. It combines multiple sleep parameters—duration, efficiency, timing, stage distribution, and continuity—into a unified score. The specific algorithm, component weights, and threshold definitions are determined by the device manufacturer and are not publicly disclosed. Sleep Score differs from individual sleep metrics by aggregating them; it does not directly measure any single physiological phenomenon.
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points (0–100)Based on Oura's algorithm. Your personal baseline matters most.
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Key Takeaways
Represents a proprietary composite of multiple sleep parameters.
Higher scores indicate measured parameters fell in algorithmically favorable ranges.
Does not directly measure any single physiological phenomenon.
Subjective sleep experience may not match the score.
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How It's Measured
Oura calculates Sleep Score by combining measurements of total sleep duration, sleep efficiency, sleep timing, time in each sleep stage, and sleep continuity (restless periods, awakenings).
Common Influences
Sleep duration: Shorter sleep typically reduces the score through the duration component.
Deep Dive
Sleep Score represents an algorithmic assessment of sleep based on multiple measurable parameters. Higher scores indicate that component metrics fell in ranges the algorithm defines as favorable; lower scores indicate one or more components deviated from those ranges.
A useful framing is that Sleep Score attempts to answer a summary question: based on available measurements, how did this night of sleep appear? The score simplifies interpretation by condensing multiple dimensions into one number. This convenience comes at the cost of obscuring which components drove the result.
Sleep involves multiple dimensions that do not reduce to a single axis: duration, efficiency, timing relative to circadian rhythm, distribution across stages, and continuity. These dimensions can vary independently—a person might have excellent duration but poor efficiency, or good efficiency but disrupted stage architecture.
Sleep Score algorithms model assumptions about how these dimensions combine into overall sleep quality. These assumptions may not apply equally to all individuals or capture all relevant aspects of sleep.