Common Data Set · application readiness
Pick your schools, enter a few figures, and get a tracker built from what each school actually publishes in its Common Data Set — admit rates, score percentiles, whether it records demonstrated interest, and whether it admits by institution, college or major.
The list covers schools with a published admit rate under roughly 40%, plus the large flagship publics — the places where preparation actually changes an outcome. Membership is decided by figures the schools publish about themselves, not by anyone's ranking.
This scores your application, not your odds. The headline number is how ready each application is — the things you control and can still fix. A modeled probability band is shown separately, and it is the least reliable thing on this page.
Gender is asked because 63 of these 100 schools publish their admit rate for men and for women separately in their own Common Data Set, and at some of them the gap is large. Leave it blank and that factor is simply skipped. There is no question about race here: the Common Data Set dropped its racial/ethnic status row after SFFA v. Harvard, so no school publishes a figure to use, and a made-up weight is worse than no weight.
Give SAT or ACT or both — where only an ACT is entered, it is converted using the official ACT–SAT concordance. Eight schools on this list are test blind and will ignore both.
Used to surface matching programs at each school. Pick as many as apply.
A note on Ivy Plus. The Ivy League is an athletic conference with exactly eight members, so that filter is a definition. Ivy Plus is this site's own list — those eight plus Stanford, MIT, Duke, Chicago, Johns Hopkins, Caltech and Northwestern. No organization owns the term: the Ivy Plus Libraries Confederation counts thirteen and the American Economic Association counts twelve. Fifteen is the common admissions usage, and it is a convention rather than a fact.
Five numbers appear on every school. They are not five versions of the same answer — each one is answering a different question, and the order below is the order worth reading them in.
What is left to do, and how much of it you have done. It scores five things: whether you have chosen a target program, the demonstrated-interest actions this particular school says it counts, whether your one binding early slot is allocated, the mechanics (deadlines, drafts, recommenders), and whether you have decided about submitting a score. Every line is something you can still change this cycle.
Academic position is deliberately excluded. Your score and your class rank are largely fixed by now, and folding them in would quietly turn readiness into a prediction of your odds — the thing this page is trying not to be. Readiness is reachable to 100 at every school on the list, including the ones you will not get into.
A band, not a number, built by arithmetic on top of the school's published admit rate: the residency figure replaces the headline where one is published, the early-round rate replaces it if you are applying early, the published gender split adjusts it, and where you sit against the published score percentiles adjusts it again. Every step is printed inside the card so you can disagree with any of them.
No school publishes this. It cannot see your essays, your recommendations, what a department needs this year, or luck — which together decide most of these cases. The width of the band is the point. Where a school publishes no admit rate at all, this refuses to produce anything rather than inventing a base to build on.
How much the things that are true about you move this school's headline rate, using only figures the school published itself. Two factors carry real numbers: residency, where a school prints separate resident and non-resident rates, and the gender split, which 63 of these 100 schools report separately in section C1 of their own Common Data Set. Those are multiplied and shown.
Other factors — alumni relation, first generation, state residency, geographical residence — appear in C7 as a rating rather than a rate. A C7 line says a factor is weighed; it never says by how much. Those are listed with the school's own wording and are never multiplied into anything.
Race is not a factor here, and the reason is not squeamishness. The Common Data Set carried a racial/ethnic status row in C7 until it was removed following SFFA v. Harvard in 2023; it appears in neither the 2024–25 nor the 2025–26 template. There is no published per-school figure to use, and a weight invented to fill the gap would be exactly the kind of number this page exists to refuse. The University of California does publish admit counts by race per campus, and those are shown on UC rows as context with zero weight — California has barred its public universities from considering race since 1996, so those gaps describe who applied, not how anyone was treated.
How much of the outcome at this school is still in your hands. It is high where two things are true at once: your readiness is unfinished, and the odds are genuinely in the balance. It falls away at both ends, because effort does not move a 2.6% rate and does not need to move an 85% one. It is then weighted by how much this particular school rewards the things effort can change — whether it counts demonstrated interest, whether it admits by major or college rather than to the institution, and whether it runs an early round with a published advantage.
Sort your list by this one and you have a to-do order: it tells you where September is worth spending. It is built for comparing schools within your own list rather than as an absolute grade.
Half your readiness and half your standing on the modeled odds, in a single number, so a long list sorts from strongest standing to weakest. The odds half is compressed rather than linear, because the distance from 2% to 10% matters far more to a list than the distance from 70% to 78%. Personal edge enters through the odds half rather than separately, so nothing is counted twice.
It mixes what you control with what you do not, which is the confusion every other number on this page is arranged to avoid. A perfect application to a school that admits 3% will still show a low position, and that is arithmetic rather than a verdict on the application. It is here because one sortable number is genuinely useful for ordering a long list — not because it is the truest thing on the row.
All five refuse to appear where the school publishes no admit rate. Three schools publish a Common Data Set that omits how many applicants they admit. Rather than substitute an estimate, those rows show a dash and say why.
Every published figure here comes from the school's own Common Data Set, admissions site or institutional research page — never from rankings sites, forums or aggregators. Where a school does not publish something, this page says not published rather than estimating it. That includes the demonstrated-interest rating: where a school's C7 line could not be read, it shows as not published, which is not the same as not considered. The one exception is the modeled band, which is labeled as modeled everywhere it appears and shows its full derivation.
Reach, Target and Safety are computed for you from your own score against each school's published percentiles and admit rate, so they change as you change your figures. A school admitting under 20% is never shown as a safety, however strong the score — at those rates most admitted applicants clear the 75th percentile too, so the score stops being what separates people.
ACT–SAT conversions use the official ACT/College Board concordance. Test-blind schools are excluded from all score-based reasoning.
Built as an offshoot of a tracker made for one applicant. aarnav.xyz