University Interview Score Simulator

Simulate how interview performance affects offer probability.

Enter test scores, GPA, and a self-rated interview performance (1-10) to estimate how much the interview component shifts overall selection probability — calibrated to typical MMI and panel interview weighting.

How is the composite score calculated?

The composite is a weighted blend: composite = academic_score × (1 − interview_weight) + interview_score × interview_weight. The academic score is the average of your normalized test score and GPA, and the interview score is your 1-10 rating scaled to 100.

Simulate your university interview impact

Many competitive programs — especially medical, dental, and law schools — rank applicants on a weighted blend of academics and interview performance. This simulator lets you see how much a strong (or weak) interview shifts your overall standing, by combining a normalized academic score with a self-rated interview score using the published interview weight.

How it works

Both inputs are placed on a common 0-100 scale. Your academic score is the average of your normalized test score and GPA (each entered 0-100). Your interview score is your 1-10 self-rating multiplied by 10. The composite is:

academic = (testScore + gpaScore) / 2
interview = rating × 10
composite = academic × (1 − weight) + interview × weight

The composite is then mapped to an illustrative offer-probability band. A higher interview weight means your interview rating moves the composite — and your odds — much more.

Tips and notes

  • Use your program’s actual interview weight. MMI circuits commonly run 30-50%; traditional panels 10-25%.
  • Self-ratings are optimistic — try simulating a worst case (rating 4) and a best case (rating 8) to see the realistic spread.
  • The probability bands are heuristic. Treat the tool as a way to understand leverage, not as an admissions oracle.