
TV Series · 2020 · TV Series · 2020s
Special OPS
Scored from 437 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: TV Series · 2020s (3,070 peers).
Summary
An Indian neo-noir spy thriller created by Neeraj Pandey, the series follows Himmat Singh, a senior officer at India's Research and Analysis Wing, who becomes convinced a single mastermind is behind a string of terrorist attacks on India over nearly two decades. He assembles a covert team of five field agents stationed across the globe to hunt the elusive culprit, while facing an internal inquiry over the operation's mounting costs.
Released in 2020, Special OPS is an action, crime and thriller television series.
3,069 other television series from the 2020s form the cohort it is ranked inside. Rotten Tomatoes carries a separate audience for the same title, 1 of whom clear the calibration test. The calibrated figure is built from 437 reviewers whose rating history varies enough to place their own average. A broader pool of 526 reviewers with two or more reviews feeds the raw-average track instead.
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 Special OPS 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 · 2020s (3,070 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 437.
Cohort: TV Series · 2020s




