Film · 2023 · Films · 2020s
Sing Sing
Scored from 102 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2020s (7,930 peers).
Summary
John 'Divine G' Whitfield, imprisoned at Sing Sing in Ossining, New York, for a crime he insists he did not commit, writes plays and anchors the facility's Rehabilitation Through the Arts theatre group. When the company votes to stage an original time-travel comedy mixing gladiators, mummies and Hamlet, Divine G recruits Clarence 'Divine Eye' Maclin, a guarded fixture of the yard, into the cast. Rehearsals ask both men to drop the armour the prison rewards them for wearing, even as Divine G prepares a clemency petition. Greg Kwedar's drama casts real RTA alumni as versions of themselves opposite Colman Domingo and Paul Raci.
Released in 2023, Sing Sing is a drama film. Its certificate is R. It runs 2h 5m. Its country of origin is listed as the United States.
The calibrated figure is built from 102 reviewers whose rating history varies enough to place their own average. A broader pool of 111 reviewers with two or more reviews feeds the raw-average track instead. Rotten Tomatoes carries a separate audience for the same title, 158 of whom clear the calibration test. 7,929 other films from the 2020s form the cohort it is ranked inside.
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 Sing Sing 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 · 2020s (7,930 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 102.
Cohort: Films · 2020s
