[RECOVERY]
The Sleep Screen: Duration, Efficiency and Consistency
[THE SHORT ANSWER]
Sleep score is 40% efficiency, 40% duration and 20% consistency, combined into a 0 to 100 figure. It is one of three inputs to recovery score, at 20% of that mix. There is no percentile attached, because the score is Base's own construction — nobody else computes this number, so there is no population to rank you against, and inventing one would be a number that looks meaningful and is not.
The formula
efficiency = asleep / inBed -> 40%
duration = clamp(asleep / 8h, 0, 1) -> 40%
consistency = 1 - clamp(|bedtime - avg14dBedtime| / 90min, 0, 1) -> 20%
score = round(100 * (0.4*efficiency + 0.4*duration + 0.2*consistency))
Efficiency is time asleep over time in bed, read from the platform's sleep samples. It captures both how long it took you to fall asleep and how much of the night you spent awake.
Duration is measured against an eight-hour ideal and clamped at 1, so nine hours does not score above eight. Sleeping longer than you need is not a training advantage, and letting it inflate the score would reward the wrong thing.
Consistency is how close your bedtime was to your own fourteen-day average, with a ninety-minute tolerance before it starts costing anything. It is your own average, not a prescribed bedtime — the app has no opinion about whether you should go to bed at ten or at one, only about whether it was the same as usual.
Why eight hours
The evidence for sleep as a training variable is stronger than for almost any supplement.
Sleep restriction measurably suppresses muscle protein synthesis. It raises perceived exertion at a fixed load, which means the same weight genuinely feels heavier rather than just feeling worse. And it degrades the endocrine environment both strength and endurance adaptation depend on.
Eight is a working target rather than a universal requirement, and clamping at eight rather than penalising nine is the acknowledgement of that.
Why awake time is not rated
There is no defensible target band for it.
Some awake time in bed is normal and unproblematic. A lot of it usually indicates something — but "a lot" depends on total time in bed, on age, and on what the person was doing. Rating it directly would mean picking a threshold that is wrong for a substantial fraction of people.
It is judged indirectly, through efficiency, which is where it actually shows up: time awake in bed sits in the denominator and not the numerator. That is the honest place for it.
The hypnogram, and what to distrust about it
The screen draws the night's stages — awake, REM, core, deep — as a chart. It is genuinely useful for spotting the shape of a night: fragmentation, a very late first deep block, an unusual amount of awake time in the small hours.
It is also less accurate than the confident four-colour chart implies, and that is worth saying on the page rather than leaving to be discovered.
Consumer wearables infer sleep stages from heart rate, heart rate variability and movement. Stage classification against polysomnography — the clinical standard, with electrodes on your scalp — is imperfect, and it is particularly weak at distinguishing light sleep from deep sleep. Total sleep time and efficiency are far more reliable than the stage breakdown.
That is exactly why the score is built on duration and efficiency and not on deep-sleep minutes. Deep sleep minutes are the number people fixate on and the number the device is least confident about.
Reading it as a hybrid athlete
Two things about sleep are specific to training both halves.
Two-a-days compress the sleep window from both ends. An early session and a late one leave a shorter night in between, and the common failure is subtracting an hour of sleep to fit a doubled day in. That is a bad trade: the session gains a stimulus and loses the conditions under which stimulus becomes adaptation.
Sleep degrades before performance does. In practice sleep score is often the first of the four fatigue signals to move, and it moves a week or so before the strength trend does. It is a leading indicator, and treating it as one is the useful way to use this screen.
What the screen will not do
It will not show a score when there is no data. "No sleep data for last night", not a zero. Every missing input in the app behaves this way, and the reason is that one fabricated zero teaches you every other number might be decorative.
It will not diagnose a sleep disorder. Persistent low efficiency, heavy fragmentation or unusual respiratory rate patterns are worth taking to a doctor. This is a training log, not a medical device.
It will not give you a percentile. Why refusing a number is also showing the math.
What to do next
If your score is consistently low, look at which of the three components is dragging it. Low duration is a schedule problem. Low efficiency is usually an environment or timing problem — caffeine, alcohol, room temperature, screen exposure. Low consistency is the easiest to fix and the one people ignore.
The recovery screen is where this score becomes 20% of a decision about today's training.
Questions
How is sleep score calculated?
Forty percent efficiency, which is time asleep divided by time in bed; forty percent duration, measured against an eight-hour ideal and clamped; and twenty percent consistency, which is how close your bedtime was to your own fourteen-day average with a ninety-minute tolerance. The three are combined and rounded to a 0 to 100 figure.
How much sleep do athletes need?
Eight hours is the working target used here, and the evidence for it is stronger than for almost any supplement. Sleep restriction measurably suppresses muscle protein synthesis and raises perceived exertion at fixed loads, and three or more nights under seven hours in a week is one of the four fatigue signals worth acting on.
Why does bedtime consistency matter?
Because circadian regularity affects sleep quality independently of duration. Eight hours from midnight to eight is not equivalent to eight hours from 2am to 10am if your usual bedtime is 11pm. It is weighted at twenty percent — real, and smaller than duration or efficiency.
Does Base rate awake time?
Not directly, because there is no defensible target band for it. It is judged indirectly through sleep efficiency, which is where it actually shows up: time awake in bed is time in the denominator and not the numerator.
Are wearable sleep stages accurate?
Less accurate than the confident four-colour chart implies. Consumer devices infer stages from heart rate and movement, and stage classification against polysomnography is imperfect — particularly for distinguishing light sleep from deep. Total sleep time and efficiency are far more reliable than the stage breakdown, which is why the score is built on those.
[KEEP READING]
[SCREENS]
The Recovery Screen: A Decision, Not a Number
Most apps show you a recovery number and leave you to interpret it. This one converts it into a rep and a verdict.
[GUIDES]
Recovery for Hybrid Athletes: Two Loads, One Budget
The signals that matter are boring, measurable, and blind to which discipline caused the fatigue — which is exactly what a hybrid athlete needs.
[FIELD NOTES]
Why Every Number in Base Shows Its Own Math
Every derived number opens a plain-English explanation of the formula that produced it, in the same words as the code comment next to it.