Methodology

How we turn your profile into a number you can trust.

UCAS applications are stressful enough without vague statistics. A course’s overall offer rate might be 10% — but that tells you almost nothing about your chances. Our model looks at your actual profile against real admission patterns, so the number you get back is about you, not an average applicant.

Build your profile

You enter predicted A-levels, GCSE grades, an admissions test score where relevant, and a self-assessment of your extracurriculars, work experience, and personal statement strength. Every field feeds directly into the model — nothing here is guesswork.

Select your target institution

Pick your university and course from the dropdown. We load the historical admissions data for that specific combination — offer rates, typical entry grades, and the profile distribution of students who were admitted. That data is what the model runs against.

Get a probability estimate

You get a single percentage for this course, broken down by academic strength, soft factors, and test performance. Use it to judge whether the course is a genuine fit — and if the probability isn’t where you want it, tweak your inputs, see how the number moves, and check if you can realistically deliver on those changes. When you’re satisfied, send it to your portfolio.

Build a balanced portfolio

This is the part people get wrong most often — building a list that’s unbalanced across the board. We look at your choices together, not one at a time, and assess the behaviour of your portfolio as a whole.

We built this to give families and students a clear, honest second opinion during a stressful process. Call it a predictor if you like — really, it’s just a way to sanity-check your choices and land on a portfolio that gives you the best shot. These are statistical estimates, not guarantees: no model can account for every factor in an admissions decision, and this tool is intended to support your judgement, not replace it.