Dutch police used the Crime Anticipation System to predict 125x125m crime hotspots nationwide from 2017. A 2025 review found it correctly predicted only 1 in 50 incidents, and police discontinued it in 2026 unable to prove it cut crime.
law enforcement, criminal justice, public safety, data ethics
Context
The Crime Anticipation System (CAS) was developed for the Amsterdam police starting in 2013 and officially launched there in 2015, generating predicted crime 'hotspots' across 125-by-125-metre grid cells in four-hour windows, covering burglary, car and bicycle theft, and street nuisance.
Activities
In May 2017 the national police announced a rollout across more than half of the Netherlands' 167 police departments.
Results
An internal Police Academy evaluation of the 2015 pilot found CAS correctly predicted about 13.5% of burglary hotspots — described at the time as five times better than random patrols — but also concluded there was 'no evidence' that predictive policing measurably reduced crime, and that departments using CAS did not see significantly lower crime rates than those that did not. A 2022 review by the Netherlands Court of Audit found CAS scored 'mid to high risk' on every criterion it tested, including insufficient control over biased outputs and the absence of any privacy impact analysis. A final internal assessment (the September 2025 Kraai Report) found accuracy had fallen to roughly 1 correctly predicted incident in 50 in Amsterdam — about 11.5% — a sharp decline from the figures cited at launch.
Conclusions
Police discontinued CAS in late 2025, and the force's Algorithm Board formally halted it in January 2026, with police stating they could not prove the system had reduced burglaries. CAS illustrates a nationally scaled predictive-policing system that ran for roughly a decade in a majority of Dutch police regions before its own operators and independent government auditors concluded its crime-reduction claims were unsupported.
Implementation
Indicative cost
High (€500k–€5M) — Not disclosed in available sources; sustained as a national IT/analytics system for roughly a decade.
Time to results
Long (> 3 years) — Developed from 2013, launched in Amsterdam 2015, rolled out nationally from 2017, discontinued late 2025, formally halted January 2026 — approximately a decade of operation.
Staffing & skills
Netherlands National Police (Politie), Amsterdam force (original developer), Police Academy (internal evaluators), Force's Algorithm Board (formal decision to halt), Netherlands Court of Audit (independent 2022 review)
Conditions for success
A defined grid-cell, time-windowed prediction methodology (125m x 125m, 4-hour windows)
Institutional evaluation capacity (Police Academy, Algorithm Board, Court of Audit) able to track performance over a decade
Common failure modes
No evidence predictive policing measurably reduced crime; CAS-using departments did not see significantly lower crime rates than non-using departments
2022 Court of Audit found 'mid to high risk' on every criterion tested, including insufficient bias control and no privacy impact analysis ever performed
Prediction accuracy declined over time, from 13.5% (2015) to ~11.5% (2025)
AlgorithmWatch documented CAS as a closed system whose underlying data officers could not fully see
Ultimately discontinued (late 2025) and formally halted (January 2026) because police could not prove it had reduced burglaries
Where it fits
Governance type
national police force
Scale
national (majority of 167 departments)
Income level
high-income
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
Do you run this practice?
Claim it —
verified implementers get a public contact pathway and can propose corrections.
Data sources
Where this practice's information was retrieved from, and when.
Chicago Police scored nearly 400,000 people on an algorithmic gun-violence risk list from 2012-2019. RAND's independent evaluation found no reduction …
Guyana's police and e-government agency deployed camera-based speed/seatbelt detection with automated e-ticketing, later adding AI video analytics and a mobile …