What separates Ivy League accepted vs. rejected applicants? Pooled together, the eight Ivies give us 1,069 decisions from 277 applicants who posted their full 2026 results on r/collegeresults. That's more than twice the 447 decisions this article started with a week ago, and it changed several of the findings.
The short version: grades, a perfect ACT and research that produced real output came with the biggest gaps. Coding and robotics projects, varsity sports and community service made almost no difference. Applying early came with a slightly higher admit rate, but a deferral rarely turned into an admit.
This is a companion to our broader comparison of accepted vs. rejected applicants at top colleges, which explains how the data was collected. Harvard is compared with MIT and Caltech in Harvard, MIT and Caltech accepted vs. rejected applicants. Six Ivies have their own write-ups: Cornell, where admits and non-admits had the same median GPA; Penn, where grades and course load did the sorting; Brown, where a 4.0, competition placements and creative work stood out; Columbia, where test scores and awards barely differed and a quarter of the sample was waitlisted; Yale, where paid jobs stood out and early applicants did twice as well; and Princeton, where a 4.0 mattered far more than the SAT.
How to read these numbers
The 277 applicants were admitted in 225 of 1,069 Ivy decisions (21%). The Ivies themselves admit about 5% of applicants on average. That gap is who posts: people with strong profiles and good news are more likely to share results. So don't read 21% as your odds. Read the gaps between groups instead.
Two more cautions. Recruited athletes and transfer applicants are left out, and every figure is self-reported. And one applicant counts once per Ivy they applied to, so someone rejected by six Ivies shows up six times. Group sizes in people are given so you can judge.
School by school
| School | Official admit rate | Admitted in this sample | Waitlisted |
|---|---|---|---|
| Harvard | 3.6% | 18 of 136 | 18 |
| Yale | 3.9% | 26 of 149 | 12 |
| Columbia | 4.0% | 26 of 140 | 35 |
| Princeton | 4.6% | 25 of 139 | 20 |
| Penn | 5.4% | 33 of 147 | 27 |
| Brown | 5.4% | 40 of 135 | 12 |
| Dartmouth | 5.4% | 17 of 81 | 18 |
| Cornell | 8.8% | 40 of 142 | 47 |
The sample runs above every official rate, for the reason above, and the order roughly holds: Harvard was the hardest here too. The waitlist column stands out. Cornell waitlisted 47 of 142 applicants (33%) and Columbia 35 of 140, while Yale and Brown each waitlisted fewer than 1 in 10. We cover what happens next in Ivy League waitlist acceptance rates by school.
Ivy League admitted student GPA and test scores
Grades mattered all the way up:
| Unweighted GPA | Admitted in this sample | Decisions (people) |
|---|---|---|
| Below 3.9 | 7.9% | 140 (49) |
| 3.9-3.99 | 20.2% | 272 (69) |
| 4.0 | 27.8% | 378 (87) |
Below a 3.9, applicants were admitted in fewer than 1 in 12 of their Ivy decisions. That's the sharpest drop in the table. This is one finding that changed with more data: with 447 decisions, a 4.0 did no better than a 3.9-something. With 1,069, the 4.0 group pulled clearly ahead, matching our GPA analysis across all top schools.
The ACT showed the biggest test-score gap. Where scores were sent, ACT 36 applicants were admitted in 30.1% of their Ivy decisions, versus 17.1% for ACT scores below 36 (28 and 43 people). That gap is smaller than the 30% versus 7% we first reported, but still large. The SAT showed a smaller one: 24.0% at 1550 or above versus 18.6% below, with almost all of the difference coming at 1570 and up (27.3%, versus about 19-20% for every band below).
Looking at people rather than decisions, applicants admitted to at least one Ivy had a median 4.0 GPA, 1550 SAT and 11 AP/IB courses. Applicants admitted to none had 3.95, 1530 and 10. The differences are small, which is the point: almost everyone in this pool was academically strong.
What separated Ivy League admits: research with real output
Admit rate within the sample, for decisions where the applicant listed each item, versus decisions where they didn't:
- A research publication or paper award: 39.7% versus 18.7% (24 people), still the biggest activity gap at the Ivies.
- A science fair award: 33.1% versus 19.3% (31 people).
- A paid job: 26.2% versus 18.2% (100 people).
- Student government: 25.8% versus 19.4%.
- Research of any kind: 22.9% versus 18.8%.
- A selective summer program: 23.8% versus 19.8%.
Research is the interesting one. Across all 52 top schools in our tally, it made no difference at all. At the Ivies, it came with a modest gap, and research that led to a paper or a research or science fair award came with the biggest ones. That's still only a few dozen people, and a published paper is the kind of thing the pay-to-publish industry sells. Admissions readers know those outlets. We cover what real research looks like in do high schoolers need research for admissions.
The paid-job gap is worth a second look. It's built on 100 people, far more than the research-output groups, and it held among applicants who were admitted somewhere versus nowhere (44% versus 29%). We can't say why it shows up, but it's a reminder that an activity doesn't need to be prestigious to count.
What made almost no difference: coding, robotics, sports, service
- Coding or tech projects: 22.6% versus 20.7%.
- Robotics or engineering teams: 21.4% versus 21.0%.
- Varsity sports (not recruited): 21.3% versus 20.9%.
- Community service: 20.2% versus 22.1%.
- National Merit: 22.1% versus 20.5%.
When this article had 447 decisions, coding and robotics came with clearly lower odds (9% and 8%). That disappeared as the sample grew, which is a good example of why small-group gaps shouldn't be read as advice. One activity did come with a lower rate: business or entrepreneurship (16.9% versus 22.2%, 57 people).
Applying early: a small edge, and deferrals rarely turned into admits
All eight Ivies offer an early round: five use binding Early Decision, while Harvard, Princeton and Yale use Restrictive Early Action. We explain the difference in which Ivy League schools have early decision vs. early action.
In our sample:
- Early applications were admitted 21 times out of 86 (24.4%), versus 119 of 558 regular decision applications (21.3%). With 447 decisions, early applicants had done slightly worse; now they do slightly better. Either way, the gap is small.
- 47 of those 86 early applicants were deferred. Counting one more deferral without a stated round, only 9 of 48 deferred applicants were admitted in the spring; 37 were rejected.
The schools themselves report a much bigger early advantage where they disclose it. Brown admitted 16.5% of Early Decision applicants for the class of 2030, versus 3.94% in Regular Decision. Most Ivies no longer publish the split at all, as we found in Ivy League early vs. regular decision acceptance rates. One thing to keep in mind is that this data leaves out recruited athletes and includes few legacies, two groups that often apply early. For an unhooked applicant like the ones in this sample, the early round was a small edge at most, and an Ivy deferral was usually followed by a rejection.
Ivy admits often got more than one
126 of the 277 applicants were admitted to at least one Ivy, and 57 of those 126 got into two or more. Applicants who applied to six or more Ivies got into at least one 77% of the time (55 of 71), versus 40% for those who applied to three to five.
That's not evidence that applying to more Ivies raises your odds. The applicants who applied to six or more also had a higher admit rate per application (25.4% versus 15.7%), so they were likely stronger applicants to begin with. The pattern is closer to "the same profile tends to get in, or not, across the board."
Hooks: still too few to say much
20 applicants said they were legacies at some school; their Ivy decisions were admitted 27.8% of the time, versus 20.5% for everyone else. 43 first-generation applicants were admitted 22.2% of the time, versus 20.9%. Both are too close or too small to draw conclusions from. What the Ivies themselves disclose about legacy rates is in legacy admissions at every Ivy League school.
What Ivy League applicants can take from this
- Grades below 3.9 were where the rate fell hardest. Every step up came with better odds, but that was the cliff.
- If you take the ACT, the top score still stood out. Compare your score to each school's own range in the chances calculator before deciding whether to send it.
- Research with real output stood out; common activities didn't. Coding, robotics, varsity sports and service all came out even.
- Don't count on a deferral. In this sample fewer than 1 in 5 deferred Ivy applicants were admitted.
- Compare with liberal arts colleges. At the 23 selective liberal arts colleges we pooled, research came with a lower admit rate and SAT scores barely mattered; see liberal arts college accepted vs. rejected applicants.
- Know what each Ivy says it weighs. Every Ivy rates its admission factors in its Common Data Set; see what the 8 Ivy League schools actually look for.
Sources
- College Intel's tally of self-reported r/collegeresults posts, 2026 admissions cycle (404 posts logged as of Oct 9, 2026; 1,069 decisions at the eight Ivy League schools from 277 applicants). Recruited athletes and transfer applicants excluded. Aggregates only; no individual post is reproduced, and no figure rests on fewer than 3 people.
- College Scorecard -- U.S. Department of Education (official admission rates)
- Brown admits 16.5% of early decision applicants to class of 2030 -- Brown Daily Herald (Brown's early and regular decision rates, as cited in Ivy League early vs. regular decision acceptance rates)