The Element data window can most conveniently be viewed by pressing F5 (Window : Layout : Warrior layout). Note that you can collapse/expand individual data groups, and save your arrangement in a custom window layout.
Figure: The Element data window for an item about immunity. In the presented example, the element is listed at position #44576 in the collection and its title is "immun: Are T cells involved in regulating the immune response?". Element titles are automatically generated from the first question text. Item's priority is 5%. Next repetition in 2047 (interval of 32 years). The item has been repeated 8 times and scored zero memory lapses.
Available element data groups
Priority
Dates
 Next
 date when the next repetition of the element should take place. If the review on the schedule date is missed, this field will remain unchanged unless autopostpone changes the review date. In the picture, the next repetition has been scheduled for Apr 29, 2016. Elements which are due for review on a given day have their next repetition date additionally prefixed with Now:
 Last
 date of the last repetition. The last repetition took place on Mar 12, 1997.
 Time
 time of the last repetition. The precise time of the last repetition is unavailable since this piece of data has started being collected only with SuperMemo 13 (2006).
 First
 first repetition ever recorded in the repetition history (usually also: first ever repetition). The first repetition recorded in this item's repetition history was made on Mar 12, 1997. Warning! Items repeated before 1996 may not carry repetition history record and the first repetition on the list may not be the first repetition ever made. In this particular case, the item was repeated 7 times before 1997 (before switching to SuperMemo with repetition history record). This information can be inspected only in the element's Repetition history window (e.g. available with Ctrl+Shift+H).
 Due (or Posit)
 position of the element in the outstanding queue. Here the item is the 3,147th element in the queue of 9,073 outstanding elements scheduled for review on Apr 29, 2016.
 Workload
 the number of elements scheduled for review on the day of the next repetition (Next). There are 9,073 elements scheduled for review on Apr 29, 2016.


Interval
 Int
 current interval of the element (i.e. the number of days between Last and Next). The presented item has last been repeated in 1997 (for the 8th time) and the next repetition has been scheduled in 19 years 1 month and 18 days.
 Prev
 previous interval. The interval between the 7th and 8th repetition lasted 3 years 11 months and 26 days (it was deduced from the value of UFactor below).
 Passed
 the actual interval that have passed since the last repetition (i.e. the time between now and Last). Note that this interval may be as short as 10 sec. if you revisit the element's data 10 seconds after the recently executed repetition (e.g. by pressing Alt+Left arrow). 19 years 1 month and 16 days have passed since the item was last repeated on Mar 12, 1997.
 New
 new interval that will separate the repetitions of the element. Note that the new interval may differ from the optimum interval (Int18) due to random interval dispersion. If you reissue the grade several times you will notice that Int18 remains the same, while New keeps changing slightly at random. As the item has not been reviewed yet, its next repetition has not been scheduled, and New remains undefined.
 Int16
 item's next optimum interval for the grade Good (4) as proposed by the Algorithm 15. This field is empty for topics. Here, the Algorithm 15 would schedule the item to be repeated in 64 years 7 months and 1 day.
 Int18
 item's next optimum interval for the grade Good (4) as proposed by the Algorithm 18. This field bears no value for topics. Here, the Algorithm 18 would schedule the item for repetition in 29 years 4 months and 1 day. Shorter intervals for very high stabilities occur pretty often in SuperMemo 18
 Int18 vs Int16
 percentage difference in optimum intervals proposed by the two algorithms ((Int18Int16)/Int16). This difference can be used to trigger manual choices of interval by users who want to micromanage their intervals (the threshold values can be set in Toolkit : Options : Learning : Algorithm SM18 Alerts) or who want be sure Algorithm SM15 interval "cheating" is possible. Here, the item's next optimum interval proposed by Algorithm SM18 is 55% shorter from the one suggested by the Algorithm SM15.


DSR Stats
 S
 item's current stability expressed as the optimum interval in spaced repetition. In the picture, the stability for the item amounts to 18 years 9 months and 19 days. It might be lower than the current interval due to multiple postpones
 R
 item's retrievability estimated at the moment of the repetition. The probability of recall of the item after the scheduled interval of 18 years 9 months and 19 days stands at 89.8%
 SInc
 best estimate of the item's stability increase. Here the item's stability (expressed as the optimum interval) is estimated to best increase at a factor of 1.5151 (i.e. 51%) after the repetition.
 SInc[]
 entry in the stability increase matrix. Based on the corresponding entry in the stability increase matrix, after the repetition the item's stability is expected to increase by a factor of 1.1711 (i.e. 17%). Note that where data is scarce (e.g. as in this case of unusually long interval), the difference between SInc[] and SInc may be large due to a larger impact of neighboring entries and the theoretical prediction based on the SInc approximation.
 Next S
 item's expected new stability after the scheduled next repetition.
Next S=S*SInc . The new stability (i.e. optimum interval) of the item repeated on Apr 29, 2016 after the interval of 19 years 1 month and 18 days is expected to be 10,403 days.
 Next R
 item's expected retrievability after the next optimum interval passes. The expected retrievability (i.e. probability of recall) of the item at the next repetition in 10,403 days stands at 89.8%.


Repetitions
 Reps
 number of repetitions of the displayed element. For items, once the item is forgotten, the count of repetitions begins from scratch (i.e. Reps equals 1 again). In the enclosed example, the item has been repeated with a passing grade 8 successive times.
 Lapses
 number of memory lapses. 0 lapses means the item has never been forgotten before."
 Grade
 grade used in the optimization procedure (the value used in parentheses shows the recent grade given by the user, which can be overridden in rare circumstances)
 Postpones
 total and recent number of times the element has been postponed. The presented item has been postponed 174 times since the last repetition, and 180 times in its lifetime. In this case, 6 postpones occurred since total postpone count begun as a result of implementing this new statistic starting with SuperMemo 17.
 Future
 estimated number of repetitions of the item in the next 30 years. Future value is easily derived from the DSR model. For topics, the number of presentations depends on AFactor only. Note that the value is the estimate from before the execution of a repetition. After the repetition, the estimate is likely to go to zero, meaning, this item became a part of "permastore" (i.e. it might be remembered till the end of an average life). SuperMemo roughly predicts that there will still be 1 repetition of the presented item in the next 30 years.
 Future Sec
 time needed for executing the estimated number of repetitions (Future) of the item in the next 30 years.
Future Sec=Future*Avg time . The Statistics window's Avg time parameter makes it possible to estimate the cost of retaining the presented item in memory until 2046 is 9 seconds on the assumption it will not be forgotten in the meantime.
 UFactor
 quotient of the previous interval and the next interval. In items that have been repeated only once, UFactor equals the first interval (in days). Here UFactor is 4.795.


Difficulty
 Diff
 current estimation of the item's absolute difficulty estimated by Algorithm SM17. This number ranges from 0 (for easy items) to 1 (for difficult ones). In the picture, the item's difficulty is estimated to be at 0.0% which means it is very easy to remember.
 Old
 heuristic measure of the item's difficulty known from SuperMemo 16 or earlier. It is estimated on the basis of the following parameters: Interval, Lapses, Repetitions, AFactor, and First grade. The theoretical minimum for the difficulty is 0% and the theoretical maximum is 100%. This number decreases gradually with successful repetitions. Conversely, it increases with memory lapses. In a typical collection, the difficulty of items usually ranges from 16% to 64%. If the difficulty reaches beyond 65% you should have a closer look at the formulation of the item (e.g. memory interference, ambiguity, excessive wording, complex answer, etc.). See also: 20 rules of formulating knowledge. Here the item is estimated to be at 18.4% difficulty which indicates it is relatively easy to remember.
 AFactor
 AFactor associated with the current element. In Algorithm SM15, AFactor is a rough measure of item difficulty and a measure of the rate at which interrepetition intervals increase. The higher the AFactor, the faster the increase in intervals. The most difficult items have AFactor equal to 1.2 while the easiest ones 6.9. For topics, concepts and tasks, AFactors equal the increase in interval in a single review and may be as low as 1.01. Note that Diff (above) is much more an accurate measure of item difficulty (as perceived by the user). AFactor of 4.307 indicates that the item is relatively easy to remember.


Status
 Difficulty  show the estimation of the element's difficulty
 Restore layout (Ctrl+F5)  restore the SuperMemo windows layout chosen as the default one
 Element window (Esc)  shift focus to the element window
 Format intervals  format intervals as years, months, days, etc. If the formatted interval no longer fits within the field, click the field to display its entire value in a dialog box. Alternatively, hover the mouse over the field and read its value from the yellow hints panel in the status bar (Window : Hints must be checked for it to work).
Further reading
FAQs