Film · 2019 · Films · 2010s
How to Train Your Dragon: The Hidden World
Scored from 521 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
Hiccup and his dragon Toothless lead their people to a hidden dragon sanctuary, seeking refuge from a tyrannical dragon hunter. When they discover a rival female dragon and her discovery threatens their plans, Hiccup must prove himself worthy of becoming chief.
How to Train Your Dragon: The Hidden World is a 2019 animation, adventure and family film. Dean DeBlois and Chris Sanders directed it, with Jay Baruchel, America Ferrera and Cate Blanchett in the cast. It is rated PG. The runtime is 104 minutes. It was made in the United States.
13,058 other films from the 2010s form the cohort it is ranked inside. 521 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 554 reviewers with at least two reviews each feeds the raw-average track. A second review pool sits behind it as well: 1,122 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately.
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: The Hidden World 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 521.
Cohort: Films · 2010s
