Film · 2019 · Films · 2010s
Ready or Not
Scored from 1,167 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
Grace, a young bride, joins her new husband's wealthy family for their traditional post-wedding game of hide-and-seek. She soon discovers the game is a deadly hunt where family members are trying to kill her, and she must survive the night on their sprawling estate.
Ready or Not is a 2019 horror, thriller and comedy film. It is rated R. Its comedy subtype is Dark Comedy. It stars Samara Weaving, Mark O'Brien and Henry Czerny. It was directed by Matt Bettinelli-Olpin and Tyler Gillett. It was made in Canada and the United States. The runtime is 95 minutes.
A second review pool sits behind it as well: 1,214 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately. 1,167 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 1,194 reviewers with at least two reviews each feeds the raw-average track. The cohort it is ranked inside is 2010s films — 13,059 of them.
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 Ready or Not 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 1,167.
Cohort: Films · 2010s
