Period Tracker
Log your period history to get personalized predictions for your next period, ovulation and fertile window, with automatic regularity detection.
Quick Tips for Better Predictions
Features
Why Most Simple Period Calculators Get Less Accurate Over Time
A lot of period calculators online do the same thing: take one date, add a fixed 28 days, and call it your next period. That works fine as a rough first guess, but it never gets any better, because it never learns anything about the person actually using it. Real cycles aren't 28 days for a huge share of people β anywhere from 21 to 35 days is considered clinically normal β and a fixed-number calculator has no way to notice that your cycles consistently run at 31 days instead of 28. This tracker works differently: log two or three periods and it starts calculating your own rolling average from your actual history, which is the same basic principle behind period-tracking apps that people rely on for a reason β the prediction gets more personal, not less, the longer you use it.
What the Regularity Badge Is Actually Measuring
Two people can both have an average cycle length of 28 days and be in completely different situations. One person's recent cycles might have run 27, 28, 29, and 28 days β tight and predictable. Another's might have run 21, 34, 24, and 33 β same average, wildly different pattern, and a fixed-number calculator would treat them identically. This tracker looks at the actual spread between your logged cycle lengths, not just the average, and flags the result as Regular, Somewhat Irregular, or Irregular depending on how much your cycles actually vary. A wide spread is worth paying attention to β it can be caused by stress, travel, illness, significant weight changes, or conditions like PCOS, and it's exactly the kind of pattern that's easy to miss if you're only ever looking at last month's date in isolation. The badge only appears once you've logged enough cycles to measure a real spread rather than guess at one, so an early "Not Enough Data" result isn't a flaw β it's the tool being honest about what a single data point can't tell you yet.
Why a Late Period Gets Called Out Directly
Most calculators simply keep showing you the same predicted date even after it's passed, which quietly becomes useless information the moment today is later than the prediction. This tracker checks today's date against your predicted next period and, if it's overdue, says so plainly β "X days late" β rather than pretending the original guess is still the answer. A late period isn't automatically something to worry about; ordinary cycle variation causes this constantly, especially for anyone whose regularity badge already reads Irregular. But knowing clearly that you're currently past the expected date, rather than needing to do that math yourself against an old prediction, is a small detail that matters when you're deciding whether to test, wait, or just note it and move on.
Two Scenarios Worth Comparing
Someone logs their first-ever period into this tool with no prior history. It falls back to a standard 28-day assumption, the same starting point every generic calculator uses β reasonable, but generic. Three months later, after logging four periods that consistently ran closer to 31 days, the tool has quietly replaced that generic guess with a personal average, and the regularity badge reads Regular because those four cycles landed within a few days of each other.
Someone else logs periods that come in at 24, 35, 22, and 33 days over the same three months. The average lands close to 28 days too β nearly identical to the first person's number β but the regularity badge reads Irregular, because averaging four wildly different numbers into one tidy figure hides more than it reveals. For this person, the single predicted date matters less than the honest flag that their cycle doesn't follow a dependable pattern month to month.
Where the Fertile Window Estimate Comes From
This tracker also estimates ovulation and the fertile window using the same luteal-phase-backward method as a standalone ovulation calculator: counting back from the predicted next period using the luteal phase β the more biologically stable second half of the cycle β rather than assuming ovulation always falls on day 14. The fertile window itself spans about six days, accounting for how long sperm can survive versus the shorter window the egg remains viable after release, with the two days before ovulation carrying the highest likelihood of conception. If fertility timing specifically, rather than general cycle tracking, is your main goal, our dedicated Ovulation Calculator covers that in more depth with a trying-to-conceive/avoiding-pregnancy toggle.
Who Actually Benefits From Tracking History, Not Just Predicting
- Anyone who wants to stop being caught off guard β the most basic and still most common reason people track at all.
- Anyone managing PCOS or perimenopause β where cycle length itself is a meaningful signal worth watching over months.
- People preparing for a doctor's appointment β wanting an actual logged history instead of trying to remember dates.
Pair this with our Ovulation Calculator for fertility-specific planning and our Age Calculator for other date-based milestones.
What This Tracker Isn't
This is a calendar-based estimate built from the dates you log, not a medical diagnostic tool, and it can't detect pregnancy, hormonal conditions, or anything happening inside your body beyond the pattern of dates you've entered. It also can't retroactively fix a thin history β two or three logged periods is enough to move past a generic 28-day guess, but real confidence in your personal average builds over several months, and any prediction is only as good as how consistently you log. If your periods stop entirely, change drastically in length or flow, or come with pain or symptoms that concern you, that's a conversation for a healthcare provider, not something a calendar tool can resolve. Treat everything here as a private planning aid that gets more useful the longer you keep it updated, not as a substitute for anything a clinician would actually need to examine.