RankquantRQ
Jackpot! (2024) poster
2024
global pct
30.4

Film · 2024 · Films · 2020s

Jackpot!

Scored from 162 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2020s (7,930 peers).

30.4%
Global percentile
vs. all 52,376 ranked titles
39.5%
In-cohort percentile
Films · 2020s · 7,930 titles
13.9%
AI-adjusted percentile
162 calibrated reviewers, thin samples pulled to the mean

Summary

In a near-future Los Angeles, a grand lottery awards a massive jackpot to its winner - but anyone who legally kills the winner before sundown claims the prize. When aspiring actress Katie Kim accidentally wins, she teams up with an amateur protection agent to survive the day against waves of opportunistic citizens hunting her down.

Jackpot! is a 2024 action and comedy film. Inside comedy it is classed as Action Comedy.

7,929 other films from the 2020s form the cohort it is ranked inside. The calibrated figure is built from 162 reviewers whose rating history varies enough to place their own average. A broader pool of 167 reviewers with two or more reviews feeds the raw-average track instead. Rotten Tomatoes carries a separate audience for the same title, 127 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 Jackpot! 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 162.

Cohort: Films · 2020s

Closest peers in the same cohort

See all 52,376