Better decisionsstart with context.

No. PairScore is a decision-support tool. It does not predict, guarantee, or make admissions decisions. What it does is show you which schools align with the applicant you already are, and explain the reasoning, so you spend your application fees and your secondaries where the alignment is strongest.

A published ranking sorts schools by attributes of the schools: research funding, reputation surveys, selectivity. It produces the same order for every reader. PairScore sorts schools by the relationship between one applicant and each school, so two students with identical GPAs and MCAT scores get different lists if their experiences and stated missions differ. A Position Tier is absolute fit, not a rank against other applicants, so your list is not a leaderboard you can fall down.

Multiple independently calculated dimensions, brought together into one 0 to 100 number. Mission and experience alignment reads what your experiences say about you against what a school says it exists to do. Academic position and attainability read your academic profile against the range that school actually admits. Environment and thriving alignment looks at how closely a school's environment, resources and support structure match the conditions you work well in, and is deliberately only minimally influenced by your academics. You see which dimensions contributed to a result, not the arithmetic that combined them.

That is your call to make. Low Fit means your profile and that school do not align strongly today. It is a statement about alignment today, not a verdict on you, and not a prediction that you would be rejected. Open the School Alignment Insights for that school and read which parts of your profile the model matched to which parts of the school's mission, and what it found missing. Then use Growth Playground to see what would have to change for the number to move. Plenty of good reasons to apply somewhere are not in your PairScore.

Enough narrative to read. PairScore interprets your written experience narratives, the AMCAS-style Meaningful Experiences you have probably already drafted, into structured alignment signals. It gates that interpretation on narrative completeness rather than guessing from a thin profile. Academic fields alone will produce a score, but the alignment half of it stays weak until your experiences are written out. When you save changes to your profile, the interpretation and your rankings recompute.

Growth Playground is a scenario simulator. You model a change to your application, such as a higher MCAT, another semester of research or a new service commitment, and it re-scores your list against that change. It reports Cycle Movement: how many positions each school moved from its original ranking. Free accounts include two scenarios. Nothing you do in a scenario alters your real profile.

Mentorship matching is the institution-side capability, applied in partnership with To Be An M.D. A coordinator uploads a participant pool, configures the run, and executes a Match Run that proposes a full set of mentor and mentee pairings. It uses stable matching over shared experience themes and growth opportunities, gives mutual requests priority, and adds an AI-enriched shortlist pass on top. You get the proposed pairings, the Capacity Utilization for the run, an AI Alignment read on pairing quality relative to other combinations your pool could have produced, and the ability to rematch an individual pair by hand.

The student does. Profile narratives, school lists and scenario history belong to the person who wrote them, and a student can request export or deletion of their account data. Institutions using To Be An M.D. see participant data for their own cohort only. The specifics, including retention periods and processors, are set out in the privacy policy.