TV Series · 2018 · TV Series · 2010s
Sacred Games
Scored from 500 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: TV Series · 2010s (3,236 peers).
Summary
A Mumbai police officer receives a cryptic warning call from a wanted criminal, giving him 25 days to prevent a major terrorist attack. As the officer races to verify the threat, he becomes entangled in a complex web of crime, corruption, and conspiracy spanning the city's criminal underworld.
Sacred Games (2018) is a television series IMDb files under the crime, thriller and drama genres. Anurag Kashyap and Vikramaditya Motwane created it. Its listed language is Hindi. It stars Nawazuddin Siddiqui, Saif Ali Khan and Radhika Apte. A typical episode runs 55 minutes. It is rated TV-MA. It was made in India.
The cohort it is ranked inside is 2010s television series — 3,236 of them. A second review pool sits behind it as well: 38 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately. 500 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 562 reviewers with at least two reviews each feeds the raw-average track.
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 Sacred Games 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 TV Series · 2010s (3,236 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 500.
Cohort: TV Series · 2010s
