
Film · 2019 · Films · 2010s
Alita: Battle Angel
Scored from 1,993 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
In a dystopian cyberpunk future, a cyborg named Alita is discovered in a junkyard with no memory of her past. Restored by a compassionate doctor, she awakens in a gritty world controlled by powerful corporations and begins a quest to uncover her identity while fighting against those who would exploit her.
Alita: Battle Angel is a 2019 action, science fiction and thriller film directed by Robert Rodriguez. It runs 2h 2m. Its country of origin is listed as the United States. Rosa Salazar, Christoph Waltz and Jennifer Connelly head the billed cast. Its certificate is PG-13.
Rotten Tomatoes carries a separate audience for the same title, 3,108 of whom clear the calibration test. 13,058 other films from the 2010s form the cohort it is ranked inside. The calibrated figure is built from 1,993 reviewers whose rating history varies enough to place their own average. A broader pool of 2,159 reviewers with two or more reviews feeds the raw-average track instead.
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 Alita: Battle Angel 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 1,993.
Cohort: Films · 2010s







