How law school admissions actually work
Every ABA-accredited law school reports detailed admit data each year through the ABA 509 Required Disclosures. The data on this page reflects the 2025 first-year entering class (full-time enrollees, the same cohort schools report to US News). Those reports include the 25th, 50th, and 75th percentile LSAT scores and undergraduate GPAs of each school's entering class, plus overall acceptance rates and class size. Admissions committees rely on the same data when making their offers — and US News rankings weight LSAT and GPA medians heavily, which is why these two numbers carry so much weight in the process.
Most predictors give you a single black-box probability. This one is different in three ways:
- It cites the math. Click “Show methodology” in the calculator above to see exactly how each school's bucket is assigned. Every prediction traces back to the 2025 ABA 509 data — no proprietary user-submitted numbers, no opaque scoring.
- It detects splitters. If your LSAT is at the 75th percentile but your GPA is at the 25th (or vice versa), the calculator surfaces this and identifies splitter-friendly schools where your odds are materially better than the basic percentile math suggests.
- It links to full school profiles. Every school in your output deep-links to its full Case Cub profile — admit data, employment markets, transfer rates, distinguishing features. Use the calculator for triage; use the profiles to actually decide where to apply.
Understanding the buckets
- Safety. Both numbers comfortably above the school's 75th percentile, with high estimated admit probability. Realistic merit scholarship potential. Note: T14 schools and any school with under 15% acceptance rate are never classified as Safety.
- Likely. At or above median on both metrics. High admission probability. Often where the strongest scholarship offers come from.
- Target. Numbers in range — between 25th and 75th percentile on both. Realistic admission with a strong application, and the bulk of where you should be applying.
- Reach. Below median on at least one metric. Possible with strong softs, exceptional personal statement, or splitter-friendly profile.
- Hard Reach. Numbers significantly below the school's profile. Long odds. Apply only if you have a specific reason — strong family/donor connection, exceptional background, or you're comfortable with low expected value.
Splitters and reverse splitters explained
A splitter is an applicant whose LSAT is at or above a school's 75th percentile but whose GPA is below the 25th — typically a 170+ LSAT with a 3.3 GPA or thereabouts. A reverse splitter (also called a GPA splitter) has the opposite profile: high GPA, lower LSAT.
The reason splitter status matters: schools' admit decisions aren't made by a linear formula. Different schools weight LSAT vs. GPA differently, and a few schools have publicly stated or historically demonstrated splitter preferences:
- LSAT splitter friendly: Northwestern, Cornell, USC Gould, Washington University in St. Louis, Notre Dame, George Washington, Boston University. These schools admit LSAT splitters at above-baseline rates.
- GPA splitter friendly: UC Berkeley, UCLA, UC Davis, UC Law SF, University of Pennsylvania, Georgetown. These schools tend to weight GPA more heavily.
If you're a splitter, the calculator above flags the schools where your profile actually fits — and adjusts the estimated admit probability accordingly.
What the calculator can't see
LSAT and GPA are the two largest single factors in law school admissions decisions, but they aren't the only factors. The calculator can't evaluate:
- Personal statement quality. A great personal statement won't get a 155/3.2 into Yale, but it can move a target school to a likely or pull a reach into target range.
- Letters of recommendation. Strong letters from recognizable academics or practitioners help — especially for non-traditional applicants.
- Work experience and softs. Military service, Peace Corps, advanced degrees, and significant professional background matter — especially at schools that explicitly value non-traditional applicants (Northwestern, Berkeley, NYU).
- URM status. Underrepresented minority status has historically increased admit rates at most schools, though the post-2023 affirmative-action landscape continues to evolve.
- Application timing. Rolling admissions matter. November applicants typically have meaningfully better odds than February applicants at the same school.
- Yield protection. Some schools reject or waitlist applicants whose numbers are far above the school's medians on the assumption that they'll attend somewhere better. The calculator can't predict this.
Building your application list
A strong application list typically includes:
- 2-3 Safety/Likely schools — at least one to make sure you have an offer; ideally two for scholarship leverage.
- 4-6 Target schools — where most of your offers will come from.
- 3-5 Reach schools — including any T14 you'd realistically attend if admitted.
- 0-2 Hard Reaches — only if you have specific reasons to apply.
Most successful applicants apply to 8-15 schools total. Apply earlier rather than later in the cycle (October-November is ideal). Use scholarships from your Safety/Likely schools as leverage at your Target/Reach schools.
Pair this with our other admissions tools
Once you have your application list, dive deeper:
- Law School Profiles — full research on every ABA-accredited school: signature clinics, notable journals, faculty highlights, employment markets, distinguishing features.
- Transfer Predictor — if you don't get into your target school, model your transfer chances after 1L using actual ABA 2025 transfer admit data.
- Free Case Brief Library — 150+ structured case briefs for the most-assigned 1L cases. Bookmark for after you matriculate.
Bigger picture: Case Cub is built for law students from 0L through 3L — admissions research, interactive case briefs across 20,000+ cases, issue spotters, flashcards, outline generators. Try it free.
How the predictor works
The predictor above compares your LSAT and GPA to the 25th, 50th, and 75th percentile bands every ABA-accredited school reported for its 2025 entering class, then blends that percentile position with the school's overall acceptance rate to land on a bucket: Safety, Likely, Target, Reach, or Hard Reach. The 60/40 LSAT-to-GPA weighting mirrors how admissions committees and US News both treat the two numbers. LSAT carries more weight, GPA breaks the tie.
Two applicants with an identical fit score can land in different buckets at the same school, because acceptance rate does real work in the formula. A school admitting 3% of applicants stays Reach even for a strong percentile fit. A school admitting 55% with the same fit can be Likely. For the raw percentile numbers behind every band, see our LSAT score percentiles guide.
What the predictor can't know
A predictor genuinely cannot see your personal statement, your letters of recommendation, your softs (military service, Peace Corps, an advanced degree), your application timing, or your URM status. Those factors move real admissions decisions by a full bucket in either direction. No LSAT/GPA model captures them, this one included. Chances are a starting point for building your application list, not a final verdict.
Reading your results like an admissions officer
Admissions officers don't read your numbers as a single probability. They read them as a position within a distribution. If your LSAT sits at a school's 75th percentile, you're not “75% likely to get in.” You're in the top quarter of the class the school already built last cycle. That distinction is why the buckets above are ranges, not point estimates, and why two schools with identical acceptance rates can still feel very different once you factor in how far above or below median you land.
Splitter and reverse-splitter dynamics, from the reader's side
An admissions reader who opens a splitter file (170+ LSAT, sub-3.3 GPA) sees a different story than the raw percentile math suggests. A high LSAT signals strong test-day performance and correlates with 1L exam and bar performance, which is why LSAT-splitter-friendly schools like Northwestern and Cornell lean into it. A reverse splitter (high GPA, lower LSAT) reads as a consistent student who may not test well, and schools like Berkeley and UCLA have historically given that profile more benefit of the doubt. Neither reading is universal. It depends on the school's institutional priorities that cycle.
Why applying early shifts the odds at the margin
Most ABA-accredited schools admit on a rolling basis, which means the applicant pool gets more competitive as the cycle progresses even though the percentile bands stay fixed. A Target-range application submitted in October is competing against a smaller, earlier pool. The same file submitted in February is competing against a fuller class with fewer open seats and, at many schools, fewer scholarship dollars left to offer. Our application timeline guide lays out when each stage of the cycle actually opens, so “early” doesn't just mean “sometime before the deadline.”
If your predicted buckets skew Reach and Hard Reach across the board, it's worth reading our T14 law schools guide to understand what separates that tier before you build a list around it. And if your numbers don't land where you hoped this cycle, our transfer predictor models 1L transfer admit chances using the same ABA 2025 data, a real path for splitters and reverse splitters whose first-cycle numbers didn't reflect their actual academic performance.
More questions about your chances
Law school predictor vs. law school calculator: what's the difference?
None in practice. They're the same tool under different names. “Predictor” emphasizes the output, your odds at a given school, while “calculator” emphasizes the process, percentile math run against ABA 509 data. This page runs the same ABA-509-based methodology regardless of which term brought you here.
How accurate are law school predictors?
Directionally reliable, not statistically precise. A predictor built on real ABA 509 percentile data correctly sorts most applicants into the right general tier: Safety, Target, or Reach. The exact percentage shown next to each school is a rough estimate, not a fitted probability model, because no predictor can see your softs, essays, or application timing. Treat the bucket as directional guidance and the percentage as a rough anchor.
What are my chances with a given GPA and LSAT?
It depends entirely on which school. The same GPA/LSAT combination can be a Safety at one school and a Reach at another, because each school's percentile bands and acceptance rate are different. Enter your numbers in the calculator above for the full 198-school breakdown rather than a single generic answer.
Do softs matter for my chances?
Yes, especially at the margins between buckets. Softs like work experience, advanced degrees, military service, or unusual life experience rarely move a Hard Reach into a Safety, but they routinely move a borderline Reach into Target range or turn a Target application into an admit with scholarship money attached. The closer your numbers sit to a school's median, the more weight strong softs carry.
When should I apply to maximize my chances?
As early in the cycle as your application is genuinely ready, ideally by November for schools with rolling admissions. Applying in October or November means competing against a smaller pool with more open seats and scholarship budget remaining. Applying in February means competing against a fuller class with less of both left to give. See our application deadlines guide for exact dates by school.
Does this predictor account for law school cost or scholarships?
No, the predictor is admissions-odds-only. Landing in a school's Safety bucket often means real scholarship leverage, while a Reach admit rarely comes with money attached. Model the actual cost difference before you commit to an application list; our law school cost guide breaks down sticker price versus what students actually pay at each tier.