Film · 2019 · Films · 2010s
Super 30
Scored from 274 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
Based on the true story of Indian mathematician Anand Kumar, the film follows his journey from a gifted but impoverished student denied a chance at Cambridge to founding the Super 30 program in Patna, which coaches thirty underprivileged students each year for the brutally competitive IIT entrance exam. He faces resistance from a corrupt coaching industry while trying to prove that talent, not wealth, should determine opportunity.
Super 30 (2019) is a film IMDb files under the biography and drama genres.
Its in-cohort standing is measured against the other 13,058 2010s films, not against the whole corpus. 274 IMDb reviewers rate with enough spread for a personal baseline to be measured, and those are the ones the calibrated score reads; a separate, broader pool of 363 reviewers with at least two reviews each feeds the raw-average track. A second review pool sits behind it as well: 26 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately.
How the score was built
We compare the reviewers of this title against every other title those same people reviewed. Each review is scored relative to the reviewer's own baseline — a 7/10 from a hard grader sits well above their average, while a 7/10 from a generous grader sits below theirs. Every reviewer then counts the same, so the result is a calibrated consensus rather than a raw average.
- Global percentile
- Where Super 30 lands against every title we rank.
- In-cohort percentile
- The same comparison narrowed to its cohort — titles of the same format released in the same decade. A 1970s film is judged against 1970s films, not against last year's streaming series. Ranked against Films · 2010s (13,059 titles).
- AI-adjusted percentile
- The same reviewer-normalized score, corrected for how much confidence the sample supports: thin samples are pulled toward the corpus average. Each title keeps the share n / (n + 53) of its measured distance from the average, where n is its calibrated-reviewer count, and the result is ranked on the same scale as the global percentile.53 is the median sample size across everything we rank. Here n is 274.
Cohort: Films · 2010s
