RankquantRQ
Two for the Money (2005) poster
2005
global pct
38.5

Film · 2005 · Films · 2000s

Two for the Money

Scored from 123 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2000s (7,847 peers).

38.5%
Global percentile
vs. all 52,376 ranked titles
42.6%
In-cohort percentile
Films · 2000s · 7,847 titles
25.1%
AI-adjusted percentile
123 calibrated reviewers, thin samples pulled to the mean

Summary

A former college football star recovers from a career-ending injury by parlaying his knack for picking winners into a job with a high-stakes sports betting advisory run by a charismatic, volatile tout. As his star rises in the world of touts and gamblers, the protege is drawn into his mentor's manipulative orbit, testing his integrity and confronting the addictive pull of the gambling industry.

Two for the Money (2005) is a film IMDb files under the crime, drama and sport genres.

Rotten Tomatoes carries a separate audience for the same title, 1,317 of whom clear the calibration test. Its in-cohort standing is measured against the other 7,846 2000s films, not against the whole corpus. The calibrated figure is built from 123 reviewers whose rating history varies enough to place their own average. A broader pool of 130 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 Two for the Money 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 · 2000s (7,847 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 123.

Cohort: Films · 2000s

Closest peers in the same cohort

See all 52,376