Let U be your single undergraduate score (defined below) and Gₛ the program GPA benchmark. For the test equations, M is GMAT and V and Q are GRE verbal and quantitative scores; the subscript s marks the school benchmark.

Here p₀ is the program’s acceptance-rate baseline and logit(p)=ln[p/(1−p)]. The optional rest-of-application slider sets r: Average is 0, the weakest endpoint is −1 and the strongest endpoint is +1. This moves the displayed probability continuously within the plausible band. The positive academic adjustment approaches ln(4), so academics can multiply baseline admission odds by at most four; negative academic adjustments are not artificially bounded.

Your GPA is the starting point. Quantitative-course GPA is compared with a fixed 3.0 reference: above 3.0 adds a small lift, 3.0 is neutral, and below 3.0 subtracts a small amount. Course count controls the weight, reaching its maximum at eight graded courses. The same reference applies to everyone, regardless of overall GPA. Zero courses is neutral.

G is overall GPA, Gq is quantitative-course GPA, n is the graded course count, and P is official class percentile (90 means top 10%). With zero courses, the coursework adjustment is zero and quantitative GPA is not needed. clamp limits a value to the stated range. Coursework can add or subtract at most 0.15, and class standing at most 0.10; all adjustments together are limited to ±0.20. The score stays on a 0–4 scale. Leaving class percentile blank is neutral.

The 3.0 reference, coursework weight, eight-course threshold, 75th-percentile reference and adjustment limits are provisional modeling assumptions, not measured admissions effects. The 3.0 reference is not a school admissions cutoff. Quantitative grades overlap with overall GPA, so their effect stays small within a single undergraduate score. For example, five courses at a 3.5 quantitative GPA add 0.046875 before the score limits are applied. Schools do not publish comparable undergraduate-score benchmarks; the model uses their reported GPA as a reference. School cards still compare your actual GPA with the reported class GPA.

The median is calculated among enrolled students, not all applicants. It tells us nothing about how many rejected candidates also had above-median numbers. At a highly selective school, academic strength is common in the applicant pool, so it can improve your position without making admission more likely than rejection.

MBA admissions are holistic and schools publish enrolled-student summaries—not applicant-level acceptance data. If p is the academic estimate, the band halves or doubles its admission odds. The slider chooses a point within that band:

This is an odds-based scenario range, not a statistical confidence interval, prediction interval or guarantee.

The displayed school estimates are marginal probabilities. The slider conditions every estimate on the same self-rated application strength, but it does not make decisions fully independent. A broad, subjective rating cannot capture every shared factor, school-to-school signal or source of model uncertainty. The combined figures therefore retain a provisional positive-correlation adjustment.

Z represents residual shared influences after the visible inputs; φ and Φ are the standard normal density and cumulative distribution. Conditional on a fixed Z=z, school decisions are treated as independent and the usual Poisson-binomial calculation is used. Integrating over Z makes the final outcomes positively related while preserving every school’s slider-adjusted probability. The 30% latent-correlation setting is provisional—not estimated from applicant-level admissions data. If all remaining shared influences were known and fixed, setting it to zero would recover the independent calculation; for example, P(at least one)=1−∏ᵢ(1−pᵢ).

Academic benchmarks link directly to the latest available official school profiles, primarily Class of 2027. Each card labels a figure as a median, average or benchmark according to how the school reports it; a benchmark indicates that a directly comparable median was not published. Acceptance-rate baselines use 2025 U.S. News data published in Poets&Quants’ 2026 acceptance-rate table. Hover or select a sourced label to see its provenance, then use the “Open the source” button to visit the underlying page.