IB Math AI SL Predicted Topics 2026

IB Math AI SL is the most pattern-predictable maths course: trigonometry, statistics, financial maths, and modelling appear in almost every session, and both papers require a GDC. The ranking below orders each topic by past-paper frequency so you can lock in the highest-probability skills — and the matching GDC workflows — before exam day.

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Top Predicted Topics

#1 Most Tested
Topic 3.2 High Priority

Trigonometry: Right and Non-Right Triangles

Appeared 187 times in recent past papers (Total: 688 marks). Last seen in 2026.

100%probability
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Topic 3.1

Volumes and Surface Areas of 3D Shapes

Appeared 113 times in recent past papers (Total: 388 marks). Last seen in 2026.

60%probability
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Topic 2.5

Exponential and Sinusoidal Models

Appeared 111 times in recent past papers (Total: 376 marks). Last seen in 2026.

59%probability
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Topic 4.11

Chi-Squared Test for Independence

Appeared 65 times in recent past papers (Total: 190 marks). Last seen in 2026.

35%probability
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Topic 4.3

Measures of Spread and Outliers

Appeared 58 times in recent past papers (Total: 209 marks). Last seen in 2026.

31%probability
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Topic 4.2

Measures of Central Tendency

Appeared 50 times in recent past papers (Total: 175 marks). Last seen in 2026.

27%probability
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Topic 5.7

Kinematics

Appeared 49 times in recent past papers (Total: 128 marks). Last seen in 2025.

26%probability
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Topic 4.1

Types of Data and Sampling

Appeared 45 times in recent past papers (Total: 133 marks). Last seen in 2026.

24%probability
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Topic 1.7

Amortisation and Annuities

Appeared 41 times in recent past papers (Total: 142 marks). Last seen in 2026.

22%probability
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Topic 4.10

Spearman's Rank Correlation

Appeared 39 times in recent past papers (Total: 106 marks). Last seen in 2025.

21%probability
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Topic 3.6

Voronoi diagrams

Appeared 37 times in recent past papers (Total: 98 marks). Last seen in 2026.

20%probability
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Topic 4.8

Binomial Distribution

Appeared 38 times in recent past papers (Total: 116 marks). Last seen in 2026.

20%probability
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Topic 1.3

Geometric Sequences and Series

Appeared 36 times in recent past papers (Total: 119 marks). Last seen in 2026.

19%probability
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Topic 2.4

Quadratic Functions and Models

Appeared 35 times in recent past papers (Total: 98 marks). Last seen in 2026.

19%probability
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Topic 2.1

Linear Models

Appeared 32 times in recent past papers (Total: 128 marks). Last seen in 2026.

17%probability
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Topic 1.5

Introduction to Exponents and Logarithms

Appeared 31 times in recent past papers (Total: 75 marks). Last seen in 2026.

17%probability
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Topic 4.6

Venn Diagrams and Combined Events

Appeared 31 times in recent past papers (Total: 106 marks). Last seen in 2026.

17%probability
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Topic 2.6

Regression and Interpolation

Appeared 31 times in recent past papers (Total: 99 marks). Last seen in 2026.

17%probability
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Topic 1.2

Arithmetic Sequences and Series

Appeared 31 times in recent past papers (Total: 114 marks). Last seen in 2026.

17%probability
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Topic 2.2

Functions: Domain and Range

Appeared 30 times in recent past papers (Total: 55 marks). Last seen in 2025.

16%probability
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Topic 5.6

Area Under a Curve

Appeared 25 times in recent past papers (Total: 131 marks). Last seen in 2026.

13%probability
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Topic 4.9

Normal Distribution

Appeared 23 times in recent past papers (Total: 61 marks). Last seen in 2026.

12%probability
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Topic 4.4

Cumulative Frequency and Box Plots

Appeared 18 times in recent past papers (Total: 40 marks). Last seen in 2025.

10%probability
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Topic 3.3

Applications of Trigonometry

Appeared 19 times in recent past papers (Total: 41 marks). Last seen in 2024.

10%probability
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Topic 1.4

Compound Interest and Depreciation

Appeared 19 times in recent past papers (Total: 58 marks). Last seen in 2026.

10%probability
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Topic 3.4

Circle arc length and area of sector (degrees)

Appeared 18 times in recent past papers (Total: 54 marks). Last seen in 2025.

10%probability
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Topic 5.8

Trapezoid rule

Appeared 17 times in recent past papers (Total: 50 marks). Last seen in 2026.

9%probability
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Topic 5.5

Integration and Antiderivatives

Appeared 17 times in recent past papers (Total: 78 marks). Last seen in 2026.

9%probability
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Topic 1.6

Laws of Exponents and Logarithms

Appeared 16 times in recent past papers (Total: 37 marks). Last seen in 2026.

9%probability
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Topic 4.5

Probability Fundamentals

Appeared 17 times in recent past papers (Total: 48 marks). Last seen in 2024.

9%probability
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Topic 5.4

Optimisation

Appeared 15 times in recent past papers (Total: 41 marks). Last seen in 2024.

8%probability
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Topic 4.7

Discrete Probability Distributions

Appeared 13 times in recent past papers (Total: 30 marks). Last seen in 2024.

7%probability
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Topic 1.8

Technology methods for linear and polynomial systems

Appeared 8 times in recent past papers (Total: 16 marks). Last seen in 2024.

4%probability
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Topic 5.2

Tangent and Normal Lines

Appeared 6 times in recent past papers (Total: 12 marks). Last seen in 2023.

3%probability
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Topic 2.3

Transformations of Graphs

Appeared 4 times in recent past papers (Total: 14 marks). Last seen in 2025.

2%probability
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Paper-specific prediction pages

Math AI SL Paper 1 predicted questions 2026

Start with the free paper-specific prediction page, then move to guided crash-course practice.

Math AI SL Paper 2 predicted questions 2026

Start with the free paper-specific prediction page, then move to guided crash-course practice.

Math AI HL Paper 1 predicted questions 2026

Start with the free paper-specific prediction page, then move to guided crash-course practice.

Math AI HL Paper 2 predicted questions 2026

Start with the free paper-specific prediction page, then move to guided crash-course practice.

Math AI HL Paper 3 predicted questions 2026

Start with the free paper-specific prediction page, then move to guided crash-course practice.

Frequently asked questions

Are these official IB Math AI SL predictions?

No — these are data-driven forecasts from our analysis of past Math AI SL papers, not official or leaked IB content. They highlight the most frequently tested topics; the real paper can sample anywhere in the syllabus.

How are the Math AI SL predictions calculated?

We count how often each AI SL topic has appeared across recent Paper 1 and Paper 2 questions and weight it by marks, then rank by that score. Because both papers are GDC-required, the calculator workflows behind each topic (regression, finance solver, normal distribution) are factored into how to revise them.

How should I revise with them?

Start with the highest-probability topics and rehearse the exact GDC steps each one needs, then broaden out. Use the ranking to order practice — not to skip topics, since any can appear.

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