Film · 2019 · Films · 2010s
Happy Death Day 2U
Scored from 456 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
Tree Gelbman is caught in another time loop on the anniversary of her death, but this time discovers multiple alternate versions of herself are also trapped in the loop. She must uncover the cause of this new phenomenon and find a way to break the cycle before time runs out.
Happy Death Day 2U is a 2019 horror, comedy and thriller film directed by Christopher Landon. Inside comedy it is classed as Goofy. It runs 1h 40m and carries a PG-13 certificate. Its country of origin is listed as the United States. Jessica Rothe, Israel Broussard and Phi Vu head the billed cast.
Its in-cohort standing is measured against the other 13,058 2010s films, not against the whole corpus. The calibrated figure is built from 456 reviewers whose rating history varies enough to place their own average. A broader pool of 477 reviewers with two or more reviews feeds the raw-average track instead. Rotten Tomatoes carries a separate audience for the same title, 510 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 2U 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 456.
Cohort: Films · 2010s
