Film · 2025 · Films · 2020s
How to Train Your Dragon
Scored from 601 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2020s (7,930 peers).
Summary
On the Viking island of Berk, where dragon-slaying is tradition, a scrawny teen named Hiccup secretly befriends an injured Night Fury he names Toothless. As he learns the truth about dragons, Hiccup must challenge his chieftain father and his community's centuries-old war to forge a new path between the two species. This live-action remake of the 2010 animated film stars Mason Thames and Gerard Butler.
How to Train Your Dragon (2025) is a film IMDb files under the fantasy, adventure and family genres. Its country of origin is listed as the United States. Inside comedy it is classed as Action Comedy.
Rotten Tomatoes carries a separate audience for the same title, 1,616 of whom clear the calibration test. The calibrated figure is built from 601 reviewers whose rating history varies enough to place their own average. A broader pool of 676 reviewers with two or more reviews feeds the raw-average track instead. The cohort it is ranked inside is 2020s films — 7,930 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 How to Train Your Dragon 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 601.
Cohort: Films · 2020s
