AQA A-Level Predicted Papers — 2025 Edition

The paper
before
the paper.

We analyse eight years of AQA past papers — every question, every topic, every mark — and identify what's coming next. Not revision notes. The actual exam.

Browse Papers How It Works
8 Years analysed
3 Subjects
£4.99 Per paper set

Method

Not guesswork.
Pattern recognition.

1

We dissect the archive

Every AQA past paper from 2017 to 2024 is broken down question by question — topic, command word, mark allocation, and position in the paper. Eight years of data, catalogued.

2

AI identifies the pattern

Topics that appear consistently, topics overdue for a return, mark distributions that rarely change — the model surfaces what human revision guides miss. Statistical probability, not intuition.

3

You get the predicted paper

A complete, exam-ready predicted paper with mark scheme and a topic confidence report showing exactly why each question was chosen. Download instantly as PDF.

Papers

Three subjects.
One methodology.

Each paper set is built specifically for its subject's AQA specification — structure, command words, and mark allocations matched exactly.

AQA A-Level • Politics

Government
& Politics

  • Paper 1: UK Politics & Government
  • Paper 2: UK & US Politics
  • Full mark scheme for both papers
  • Topic confidence report
  • Command word breakdown
£4.99 Get Paper Set
AQA A-Level • Economics

Economics

  • Paper 1: Markets & Market Failure
  • Paper 2: National & International Economy
  • Full mark scheme for both papers
  • Topic confidence report
  • 25-mark essay question predictions
£4.99 Get Paper Set
AQA A-Level • Religious Studies

Religious
Studies

  • Paper 1: Philosophy of Religion
  • Paper 2: Religion & Ethics
  • Full mark scheme for both papers
  • Topic confidence report
  • 15-mark essay topic predictions
£4.99 Get Paper Set

Why Trust Us

Built on data,
not instinct.

8 Years of AQA past papers analysed per subject
94% Of major topics predicted in our internal back-tests
100+ Individual questions catalogued and tagged
PDF Instant download, exam-ready formatting

Every paper goes through the same process: topic-by-topic frequency mapping, mark allocation modelling, and command word analysis drawn from the full AQA specification. The result isn't a hunch — it's a probability-weighted prediction you can revise from.

Sample — AQA Economics Paper 2 (predicted)

[25 marks] Evaluate the view that supply-side policies are the most effective way to reduce long-run unemployment in the UK economy.
[9 marks] Assess the likely impact of a rise in interest rates on the current account of the UK's balance of payments.
Topic confidence
87%

Questions

Common questions.

No. Predicted papers are a legitimate and widely used revision tool — they're the same concept as teacher-made mock exams or topic predictions you'd find in any revision guide. PredictED papers are AI-generated based on past paper analysis, not leaked or real exam content. Using them is no different to any other structured revision method.
In back-testing against years the model wasn't trained on, PredictED identified the correct major topics in approximately 94% of cases. That said, predictions are probability-based — they are not guaranteed, and you should treat the paper as a high-quality revision tool alongside your other preparation, not as a substitute for it.
Each paper set includes Paper 1 and Paper 2 for your chosen subject, formatted to match AQA's standard layout. You also receive a full mark scheme for both papers and a topic confidence report showing the data behind each predicted question. Everything is delivered as an instant PDF download.
Immediately. Your PDF download link is provided on the confirmation page and sent to your email as soon as payment is complete. There's no waiting — you can start revising within minutes.
All PredictED papers are built specifically for AQA A-Level specifications. The question style, command words, mark allocations, and paper structure are all modelled on AQA's format. OCR, Edexcel, and other boards are not currently supported but may be added in future.