Statistics
DecksMD tracks your full review history locally and turns it into a set of statistics views so you can see how your studying is going. Everything below is computed from the database in your vault — see Multi-device sync for how that history travels between your devices.
Open them from View statistics in the deck panel toolbar.
Heatmap
Section titled “Heatmap”A GitHub-style activity grid of reviews per day.
This is a consistency check, not a volume one. Spaced repetition rewards showing up daily far more than it rewards long sessions, because a missed day pushes cards past their scheduled interval and they decay. Gaps in the grid explain most sudden spikes in your due count a week later.
Retention rate
Section titled “Retention rate”How often you actually recalled cards, compared against your retention target.
This is the single most useful number on the page, because it tells you whether your schedule is calibrated:
- Close to your target — the scheduler is doing its job. Nothing to change.
- Well below target (say 75% against a 90% target) — you are seeing cards too late. Common causes are a backlog you are working through, cards that are too dense and should be split, or answering Good when you actually struggled.
- Well above target (say 97% against 90%) — you are reviewing more than you need to for the retention you asked for. That is wasted time, and lowering the target or optimizing your weights will reclaim it.
A number measured over very few reviews will bounce around; give it a few hundred before reading much into it.
Future-due forecast
Section titled “Future-due forecast”How many cards are coming due over the next days and weeks.
Use it to see pile-ups before they arrive rather than after. A large spike usually traces back to a day when a lot of new cards were introduced at once — they mature in step and then come due in step. Spreading new-card introduction with daily limits in a profile prevents the next one.
If you have an exam, this is the view to plan against: work backwards from the date and check that the load in the final fortnight is something you can actually absorb.
Interval distribution
Section titled “Interval distribution”How your cards are spread across short and long intervals.
A healthy mature collection is weighted toward long intervals — the whole point of spaced repetition is that most of what you know should cost you almost nothing to maintain. A distribution that stays bunched at the short end means cards are lapsing repeatedly and never maturing, which is usually a signal that specific cards need rewriting rather than more repetition.
Hourly breakdown
Section titled “Hourly breakdown”Which times of day you review most.
Mostly of interest for finding a slot that actually sticks. If your reviews cluster late at night and your retention is poor, those two facts may be related.
Answer-button stats
Section titled “Answer-button stats”The split of Again / Hard / Good / Easy ratings.
Every number FSRS infers comes from these four buttons, so their distribution matters. A very high Easy share suggests intervals are shorter than they need to be; a high Again share points at cards that are too hard, too dense, or ambiguous. If a handful of cards dominate your Again count, they are leeches — find them in the flashcard manager and rewrite them.