
Film · 2016 · Films · 2010s
Natsamrat
Scored from 41 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
Ganpatrao Belwalkar, a revered Marathi stage actor nicknamed Natsamrat for his Shakespearean roles, retires from the theater and signs his house and savings over to his son and daughter, expecting the two of them to look after him and his wife Kaveri in return. Mahesh Manjrekar's Marathi drama, adapted from V. V. Shirwadkar's 1970 play, follows the couple as they shuttle between their children's households and find themselves treated as an encumbrance in homes they once paid for. Nana Patekar plays the old man, who answers each humiliation with soliloquies from the parts that made him famous. His fellow retired actor Rambhau is the last audience he has left.
Released in 2016, Natsamrat is a drama and family film. It plays in Marathi. Its country of origin is listed as India. It runs 2h 46m.
Only 41 of its IMDb reviewers rate with enough spread for a personal baseline to be measured, so the calibrated figure rests on a thin sample; a broader pool of 48 reviewers with at least two reviews feeds the raw-average track. Its in-cohort standing is measured against the other 13,058 2010s films, not against the whole corpus.
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 Natsamrat 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 41.
Cohort: Films · 2010s





