Film · 2017 · Films · 2010s
Happy Death Day
Scored from 558 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
A college student is murdered on her birthday and finds herself trapped in a time loop, forced to relive the same day over and over. As she experiences her death repeatedly, she begins to identify clues about her killer's identity. She must use each loop to gather information and prevent her murder.
Released in 2017, Happy Death Day is a horror, thriller and comedy film. Jessica Rothe, Israel Broussard and Ruby Modine head the billed cast. Its country of origin is listed as the United States. Christopher Landon directed it. Its certificate is PG-13. It runs 1h 36m.
The calibrated figure is built from 558 reviewers whose rating history varies enough to place their own average. A broader pool of 563 reviewers with two or more reviews feeds the raw-average track instead. Its in-cohort standing is measured against the other 13,058 2010s films, not against the whole corpus. Rotten Tomatoes carries a separate audience for the same title, 853 of whom clear the calibration test.
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 Happy Death Day 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 558.
Cohort: Films · 2010s
