How Our Admission Odds Work

Every admission odds estimate starts with publicly available institutional data — the same sources used by counselors, researchers, and college ranking publications:

• Institutional admission rates from IPEDS (Integrated Postsecondary Education Data System) and the U.S. Department of Education’s College Scorecard. These are the federally reported numbers each school submits annually.
• Published admitted student profiles from each school’s Common Data Set and official admissions materials: middle-50% GPA ranges, SAT and ACT score ranges, and course rigor expectations.
• Historical matriculation patterns where schools publish them, including in-state versus out-of-state admit rates, early decision advantage, and yield trends.

Everything above is public government or institutional data. None of it comes from private scraping or paywalled sources.

An admit rate by itself tells you very little about your student’s chances. Personalization is what turns a population-level statistic into something useful for one family. For each school on your list we compare:

• Your student’s GPA and course rigor relative to the admitted-student middle 50% at that school.
• Test scores, if submitted, against the school’s SAT or ACT middle-50% range and test policy (test-required, test-optional, test-blind).
• Major and program interest against program selectivity where that matters — for example, engineering, nursing, and business programs that admit by program rather than to the university as a whole.
• Geographic and demographic context where applicable, such as in-state residency advantages at public universities and program mission alignment for specific institutions.

The result is a personalized estimate expressed as a range — Safety, Match, or Reach — grounded in how your student compares to the profile a school has actually admitted.

Being honest about limits is part of giving families good information. A few things admission odds cannot do:

• Odds are estimates, not guarantees. Admissions is a human process with a lot of institutional discretion. A 70% estimate is not a 70% promise.
• Outcomes vary year to year. A school’s admit rate, yield, and class priorities shift with application volume, institutional strategy, and external events. We refresh data regularly, but past years never perfectly predict the next.
• Unusual circumstances are not captured. Recruited athletes, legacy applicants, development cases, and students with substantial outside influence follow paths our public-data model cannot see.
• This is a planning tool, not a prediction. The goal is to help you build a balanced list and have better conversations — not to tell you where your student will or will not get in.

Many research universities admit students by school or college (Engineering, Business, Computer Science, Arts & Sciences, etc.) rather than holistically to the university as a whole. At those schools the institution-wide admit rate can be very different from what your student actually faces.

• Which schools have it. We track department-level rates for universities that publish them, starting with the Ivy League schools that admit by college, the top engineering programs (CMU, Georgia Tech, UIUC, Michigan, Berkeley, Purdue), and the top undergraduate business programs (Wharton, Ross, Haas, McIntire, Stern, Dyson, McCombs, Kelley, Foster). Holistic-admit schools — Harvard, Yale, Princeton, Brown, Dartmouth, Chicago, MIT, Stanford — don’t have a meaningful department-level rate, so we show the institution-wide number there.
• Where the numbers come from. Each departmental rate is pulled from the school’s Common Data Set Section C, institutional research pages, or the school or college’s own published admissions statistics. Every entry on our school pages includes the specific source and the data year.
• How it changes personalized odds. When your student selects a major interest in the quiz or when you filter by department on a school list, we use the departmental rate as the baseline instead of the institution-wide rate. The personalized estimate then adjusts from there based on GPA, test scores, and course rigor. If the department isn’t published, we fall back to the institution-wide rate and flag it in the UI.
• Honest caveats. Departmental admit rates move more year to year than institution-wide rates, especially in competitive majors like Computer Science. Some schools admit to a major only in the sophomore year (Haas at Berkeley, McIntire at UVA, Goizueta at Emory), which means the entering-freshman rate and the major admit rate are not directly comparable. We note these cases in the per-school data.

Our data refresh falls into two cadences:

• Annual refresh for institutional base rates, admitted-student profiles, tuition, and published merit aid data — typically after each school releases its updated Common Data Set or IPEDS submission.
• Real-time recalculation for every student-specific estimate. The moment your student’s GPA, course rigor, or test scores change, the odds recalculate against the latest base data.

We note data vintage on individual school pages so you can see which reporting year we are working from.

Merit aid estimates follow the same principles as admission odds: transparent data sources, personalized mapping, and honest caveats.

Data sources. Merit aid data comes from each school’s Common Data Set (sections H1 and H2 in particular), published merit aid statistics on institutional financial aid sites, and historical award data from institutional financial aid offices where available. We distinguish between named scholarships with public eligibility criteria and general merit aid reported as an average award.

How we personalize. Your student’s academic profile is mapped against each school’s published merit aid eligibility — GPA thresholds, test score thresholds, and any program-specific criteria. Schools that are significantly above your student’s profile produce lower estimates; schools that are significantly below it often produce higher ones, because merit aid is typically how colleges attract strong applicants.

Honest caveats. Merit aid varies year to year with institutional budgets and enrollment goals. Named scholarships have limited award counts. The estimates we show are a realistic planning range, not a commitment from the school. Final merit aid decisions are made by the institution after an admissions review.