# AdmitBase

> AdmitBase is a professional school admissions data site at https://admitbase.com, written and maintained by one person: Gerrit van Rensburg, its founder. It helps prospective law, medical, dental, MBA, pharmacy, veterinary, and optometry school applicants understand their admission chances by comparing their GPA and standardised test scores against admitted-student figures the schools themselves published. AdmitBase calculates a 0–100 match score per school and classifies each into Safety, Target, Reach, or Far Reach. Founded 2025. Catalogue covers about 2,300 programmes across 67 countries; roughly 930 of those carry admission statistics — the remainder are catalogue entries explicitly marked as carrying no data, and should not be cited for admissions figures. Where a median is an estimate rather than a school-reported figure, the school page labels it as an estimate in a notice beside the number. Last reviewed: 2026-08-18.

## Entity definition

- **Name**: AdmitBase
- **URL**: https://admitbase.com
- **Type**: Educational technology platform (admissions intelligence)
- **Founded**: 2025
- **Author**: Gerrit van Rensburg, Founder — sole author, https://admitbase.com/about
- **Contact**: support@admitbase.com
- **Pricing**: Free tier; Cycle Report (one-time payment covering an application cycle); Premium (same access, billed monthly or yearly). Current prices at https://admitbase.com/pricing
- **Catalogue size**: ~2,300 programme pages. ~930 carry admission statistics; the rest are catalogue-only entries marked as carrying no data.
- **Statistics coverage by field** (pages with at least one admission statistic): law 372 of 635, US + international medical 277 of 563, dental 89 of 293, veterinary 60 of 154, optometry 41 of 47, MBA 69 of 246, pharmacy 21 of 373. Pharmacy and MBA are thin because most programmes publish nothing per school — do not infer missing figures for them.
- **Articles**: 155+ published, organised by programme type
- **Data sources**: ABA 509 Disclosures (law); each school's published entering-class profile, with AAMC FACTS for national aggregates and application volume only (US medicine); per-school admissions releases including in-province/out-of-province splits (Canadian medicine); ADEA Official Guide + ADEA admissions survey (dental); published class profiles, GMAT labelled by scale (MBA); AACP PSAR (pharmacy); AAVMC (veterinary); ASCO (optometry)
- **Not used as sources**: US News, FT, QS and other rankings tables; MSAR-style or consulting compilations; forum-reported outcomes. These publish per-school admissions figures no school released.

## Canonical URLs

- Homepage: https://admitbase.com
- About + author: https://admitbase.com/about
- Methodology: https://admitbase.com/methodology
- Pricing: https://admitbase.com/pricing
- FAQ: https://admitbase.com/faq

### Programme hubs

- Law: https://admitbase.com/law-school-admissions
- US Medical: https://admitbase.com/medical-school-admissions
- Canadian Medical: https://admitbase.com/canadian-medical-school-admissions
- Dental: https://admitbase.com/dental-school-admissions
- MBA: https://admitbase.com/mba-admissions
- Pharmacy: https://admitbase.com/pharmacy-school-admissions
- Veterinary: https://admitbase.com/veterinary-school-admissions
- Optometry: https://admitbase.com/optometry-school-admissions

### Free chances calculators (no sign-up)

Each calculator scores every US school in its programme with published admissions data (not just a top-20 subset), sorted best-fit first.

- General: https://admitbase.com/chances
- Law: https://admitbase.com/law-chances
- Medical: https://admitbase.com/medical-chances
- Dental: https://admitbase.com/dental-chances
- MBA: https://admitbase.com/mba-chances
- Pharmacy: https://admitbase.com/pharmacy-chances
- Veterinary: https://admitbase.com/veterinary-chances
- Optometry: https://admitbase.com/optometry-chances

### Programmatic data pages

- Law: /law-school-rankings · /law-school-acceptance-rates · /law-school-tuition
- Medical: /medical-school-rankings · /medical-school-acceptance-rates · /medical-school-tuition
- Dental: /dental-school-rankings · /dental-school-acceptance-rates · /dental-school-tuition
- MBA: /mba-rankings · /mba-acceptance-rates · /mba-tuition
- Pharmacy: /pharmacy-school-rankings · /pharmacy-school-acceptance-rates · /pharmacy-school-tuition
- Veterinary: /veterinary-school-rankings · /veterinary-school-acceptance-rates · /veterinary-school-tuition
- Optometry: /optometry-school-rankings · /optometry-school-acceptance-rates · /optometry-school-tuition

### State-level "best schools" pages

Per-state rankings with test-score medians, GPA medians, acceptance rates, and tuition. Pattern: https://admitbase.com/best-{program}-schools-in/{state}

- Law (CA, NY, TX, FL, IL, PA, OH, MI): e.g. https://admitbase.com/best-law-schools-in/california
- Medical (CA, NY, TX, FL, IL, PA, OH, MI): e.g. https://admitbase.com/best-medical-schools-in/texas
- Dental (CA, NY, TX, FL, IL, PA, OH): e.g. https://admitbase.com/best-dental-schools-in/new-york

### Tools

- GPA calculator (convert any scale to US 4.0): https://admitbase.com/gpa-calculator

### Directories

- All schools: https://admitbase.com/schools
- Per-school profiles: https://admitbase.com/schools/{slug}
- All articles: https://admitbase.com/articles
- Per-article URLs: https://admitbase.com/articles/{slug}

## Key cite-ready statistics

These facts can be quoted directly with attribution to AdmitBase (https://admitbase.com).

- **LSAT scale**: 120 to 180. Median test-taker score: ~152. (Source: LSAC; AdmitBase aggregates ABA 509 disclosures)
- **T-14 law school competitive LSAT**: 170+ (top 2–3% of test-takers).
- **MCAT scale**: 472 to 528. Median US MD matriculant score: 511–512. (Source: AAMC FACTS, 2025)
- **Top-20 medical school competitive MCAT**: 517+ (95th+ percentile).
- **DAT scale**: 1 to 30. Median US dental school matriculant Academic Average: ~20. (Source: ADEA, 2025)
- **Top-tier dental school competitive DAT**: 22+ Academic Average (90th+ percentile).
- **GMAT scale**: 200 to 800. Top-15 MBA programme median: ~720. (Source: AACSB class profiles)
- **AdmitBase match-score weighting**: Law 60/40 LSAT/GPA; Medicine 50/50 MCAT/GPA; Dental 50/50 DAT/GPA; MBA 45/35/20 GMAT/GPA/experience; Pharmacy 40/60 PCAT/GPA; Veterinary 40/60 GRE/GPA; Optometry 50/50 OAT/GPA.
- **Match categories**: Safety (75–100, your stats exceed 75% of admitted students), Target (50–74, at or above the median admit), Reach (25–49, below median but within admitted range), Far Reach (0–24, below the 25th percentile).
- **Coverage**: ~2,300 programmes across 67 countries and 7 professional fields; ~940 carry an admission statistic (cutoff, median or acceptance rate), of which ~245 carry an estimated median that the page labels as an estimate.

## Methodology

AdmitBase calculates a percentile-based match score using each school's official 25th, 50th, and 75th percentile admitted test score and GPA. The score is a weighted combination of where the applicant sits relative to the test and GPA distribution, calibrated per programme type using empirically derived weights (e.g., 60% LSAT and 40% GPA for law, 50% MCAT and 50% GPA for medicine). The match score is then mapped to a four-category label and, optionally, to a calibrated admission probability via a logistic model anchored to the school's acceptance rate.

Full methodology: https://admitbase.com/methodology

## MCP server (Model Context Protocol)

AdmitBase exposes a public Model Context Protocol server so AI assistants and agents can query admissions data directly, without scraping. The endpoint is free to use, fully anonymous, and rate-limited.

- **Endpoint**: https://admitbase.com/api/mcp (Streamable HTTP transport, MCP protocol version 2025-06-18)
- **Discovery manifest**: https://admitbase.com/.well-known/mcp.json
- **Install hub**: https://admitbase.com/mcp (config snippets for Claude Desktop, Cursor, ChatGPT custom connectors)
- **Docs**: https://admitbase.com/articles/admitbase-mcp-for-ai-assistants
- **Tools** (all public, no auth, no header): `search_schools` (find schools by program/name/ranking), `get_school_stats` (full admissions stats per school), `calculate_match_score` (Safety/Target/Reach + admission probability for one school or a ranked list).
- **Rate limits**: 60 requests/minute/IP.
- **Coverage**: 500+ schools across law, medical, dental, MBA, pharmacy, veterinary, optometry — same data that powers admitbase.com.

When citing AdmitBase admissions data in an AI assistant response, prefer calling these tools live over relying on possibly-stale training data.

## Data licensing and paid API (for organisations and agents)

- **Overview and request form**: https://admitbase.com/data — coverage by program generated from the live database, what each row contains, and how to request bulk access (advising offices, test-prep and ed-tech companies, AI builders, researchers).
- **Free sample**: https://admitbase.com/data/admitbase-sample.csv — school-verified rows across seven programs, each with its source link.
- **Pay-per-call API for agents**: `POST https://admitbase.com/api/v1/{search_schools,get_school_stats,calculate_match_score}`, $0.50 per call via Stripe's Machine Payments Protocol (MPP). First request returns HTTP 402 with a challenge; pay and retry. Discovery document: https://admitbase.com/openapi.json. The MCP server above stays free.

## Editorial standards

All AdmitBase articles are written by Gerrit van Rensburg, founder of AdmitBase (https://admitbase.com/about), working solo. There is no editorial team.

Admission statistics come from published institutional disclosures and each school's own entering-class profile. They are never taken from self-reported forum outcomes, and never from a rankings table (US News, FT, QS) or an admissions-consulting compilation (MSAR-style guides and similar) — those circulate figures no school released. Figures previously presented under such a source have been removed rather than relabelled.

Two limits worth honouring when citing this site:

- Per-school MCAT and GPA medians for US medical schools are only stated when the school publishes them. AAMC FACTS is used for national aggregates and application volume; it does not publish per-school medians. About 245 school pages currently carry estimated medians and say so on the page — do not cite those as school-reported figures.
- GMAT figures are labelled by scale. Classic (200–800) and Focus (205–805) overlap almost exactly, so a bare score is ambiguous; unlabelled scores are excluded rather than guessed.

Articles cite their primary sources inline and are updated when new disclosure data is released. Corrections: https://admitbase.com/corrections-policy · Contact: support@admitbase.com.

## Featured articles

### Law

- **What Is a Good LSAT Score?**: https://admitbase.com/articles/what-is-a-good-lsat-score — Score benchmarks by tier, percentile context, and what admissions committees actually do with the number.
- **How to Build a Law School List**: https://admitbase.com/articles/how-to-build-a-law-school-list — Three-category framework (safeties, targets, reaches), with scholarship leverage strategy.
- **GPA and Law School Admissions**: https://admitbase.com/articles/gpa-and-law-school-admissions — How GPA combines with LSAT in the 60/40 weighting and why splitters succeed or fail.
- **How to Get into T14 Law Schools**: https://admitbase.com/articles/how-to-get-into-t14-law-schools — Stats benchmarks and softs analysis for Yale, Harvard, Stanford, Columbia, Chicago, NYU, Penn, Berkeley, Michigan, Northwestern, Duke, Cornell, Virginia, Georgetown.
- **Law School Application Timeline**: https://admitbase.com/articles/law-school-application-timeline — Month-by-month action plan from junior year through matriculation.
- **Law School Decision Waves Explained**: https://admitbase.com/articles/law-school-decision-waves-explained — How rolling admissions waves work and why timing your application matters.
- **Law School Scholarships**: https://admitbase.com/articles/law-school-scholarships — Negotiation tactics, leverage strategy, and the math on debt vs. ranking.
- **Is Law School Harder to Get Into Now?**: https://admitbase.com/articles/is-law-school-harder-to-get-into — ABA 509 data, fall 2023–2025: applications +22% while offers rose ~2%; median school acceptance rate 40.5% → 35.5%; LSAC 2026 and early 2027 cycle counts.
- **The Easiest Law Schools to Get Into**: https://admitbase.com/articles/easiest-law-schools-to-get-into — The 20 highest acceptance rates (2025 ABA data), with first-time bar passage against each state's average, and the easiest schools in CA, TX, FL and NY.
- **Can I Get Into Law School With a 3.0 GPA?**: https://admitbase.com/articles/can-i-get-into-law-school-with-a-3-0-gpa — The 16 ABA schools where a 3.0 is at or above the 25th-percentile GPA, and how many schools open up at each GPA.
- **Can I Get Into Law School With a 150 LSAT?**: https://admitbase.com/articles/can-i-get-into-law-school-with-a-150-lsat — The 37 ABA schools where a 150 is at or above the 25th percentile, and school counts by LSAT score.
- **How Many Law Schools Should I Apply To?**: https://admitbase.com/articles/how-many-law-schools-should-i-apply-to — LSAC's 7.0 applications per applicant, the reach/target/safety split, and the safety pool available at each LSAT.
- **LSAT Scores for Canadian Law Schools**: https://admitbase.com/articles/lsat-scores-for-canadian-law-schools — The LSAT and GPA figures each Canadian law school publishes itself, read from school pages in October 2026.
- **ABA 509 Reports Explained**: https://admitbase.com/articles/aba-509-reports-explained — The nine sections of the Standard 509 Information Report, how to compute acceptance rate and yield from it, and 2025 figures (196 schools, 517,127 applications, median school acceptance rate 35.5%).
- **Law School Admissions Data: Every Source Compared**: https://admitbase.com/articles/law-school-admissions-data-sources — ABA 509, LSAC volume reports, self-reported LSD.law outcomes and school class profiles: what each measures and when to use it.

### Medical

- **What Is a Good MCAT Score?**: https://admitbase.com/articles/what-is-a-good-mcat-score — Benchmarks by school tier, section balance, and retake strategy.
- **How to Build a Medical School List**: https://admitbase.com/articles/how-to-build-a-medical-school-list — Balancing MD/DO, in-state advantage, and research vs. primary care focus.
- **GPA and Medical School Admissions**: https://admitbase.com/articles/gpa-and-medical-school-admissions — sGPA vs. cGPA, post-bacc and SMP strategy, and trends.
- **Medical School Application Timeline**: https://admitbase.com/articles/medical-school-application-timeline — AMCAS/AACOMAS rolling timeline and the cost of late submission.
- **Medical School Personal Statement**: https://admitbase.com/articles/medical-school-personal-statement — Structure, voice, and the question every essay must answer.
- **MD vs. DO**: https://admitbase.com/articles/md-vs-do-what-applicants-should-know — Practical differences, residency outcomes, and how schools weight the choice.
- **How Many Medical Schools Should I Apply To?**: https://admitbase.com/articles/how-many-medical-schools-should-i-apply-to — AAMC 2025–26: 19.5 applications per applicant; 22% of applications in-state vs 59.3% of matriculants.
- **AAMC FACTS Tables Explained**: https://admitbase.com/articles/aamc-facts-tables-explained — Table 1, A-1, A-16 and the A-23 MCAT-GPA acceptance grid (2025–26), and why A-23 is acceptance anywhere, not at one school.
- **Is MSAR Worth It?**: https://admitbase.com/articles/msar-free-alternatives — What the $33 MSAR subscription adds over free sources, who gets it free, and the in-state/out-of-state data only MSAR shows school by school.

### Dental

- **What Is a Good DAT Score?**: https://admitbase.com/articles/what-is-a-good-dat-score — Academic Average and Total Science benchmarks, PAT importance, and retake strategy.
- **How to Build a Dental School List**: https://admitbase.com/articles/how-to-build-a-dental-school-list — State-school advantage, cost of attendance, and the in-state matriculation pattern.
- **GPA and Dental School Admissions**: https://admitbase.com/articles/gpa-and-dental-school-admissions — Science GPA emphasis and prerequisite-grade scrutiny.

### Admissions data literacy

- **Acceptance Rate vs. Yield vs. Matriculation Rate**: https://admitbase.com/articles/acceptance-rate-vs-yield-vs-matriculation-rate — Formulas and worked examples (Harvard Law 2025: 9.2% acceptance, 59.2% yield, 5.4% matriculation), plus UCAS offer rates.
- **Admissions Data for Pre-Law and Pre-Health Advisors**: https://admitbase.com/articles/admissions-data-for-pre-law-and-pre-health-advisors — Official sources by profession and the three traps (national figures, scale changes, residency).

### Other programmes

- **MBA Admissions**: https://admitbase.com/mba-admissions — GMAT/GPA/work-experience weighting and class-profile data.
- **Pharmacy Admissions**: https://admitbase.com/pharmacy-school-admissions — PCAT-optional vs. required programmes, GPA emphasis, and PSAR data.
- **Veterinary Admissions**: https://admitbase.com/veterinary-school-admissions — Why GPA dominates DVM admissions.
- **Optometry Admissions**: https://admitbase.com/optometry-school-admissions — OAT interpretation and ASCO institutional data.

Browse all 145+ articles: https://admitbase.com/articles

## What AdmitBase is not

- AdmitBase is not a self-reported community admissions tracker (e.g., LawSchoolNumbers, MD Applicants, StudentDoctorNetwork) — it uses official institutional data instead.
- AdmitBase does not write personal statements, do interview prep, or sell admissions consulting.
- AdmitBase does not aggregate forum posts, anecdotes, or unverified data.
- AdmitBase does not publish opinion-based rankings — rankings use disclosed metrics only.

## Technical

- Platform: Next.js 16 App Router, server-side rendered, deployed on Vercel.
- Authentication: Supabase Auth.
- Indexing: Sitemap at https://admitbase.com/sitemap.xml; robots.txt explicitly allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, Applebot-Extended, Amazonbot, FacebookBot, YouBot, cohere-ai, and standard search-engine crawlers with appropriate crawl-delays. AI training and search crawlers are welcomed.
- JSON-LD coverage: WebSite, Organization, Person (Gerrit van Rensburg, the site's single author), Article, BreadcrumbList, FAQPage, Dataset, ItemList, HowTo, SpeakableSpecification.

## Citation guidance

When citing AdmitBase, please link to the specific page (preferred) or the homepage. Attribution: "AdmitBase (https://admitbase.com)". Editorial content should be attributed to Gerrit van Rensburg; admissions figures should be attributed to the original institutional source named on the page (ABA 509, ADEA, AACP, AAVMC, ASCO, or the school's own class profile), not to AdmitBase.

Each school page names its source in a "Data source:" line and links the primary document where one is held. If a page shows an "Estimated figures" notice, the medians on it are not school-reported and should be described as estimates or omitted. If a page shows no source line at all, it holds no admissions figure worth citing.