Margin Calculation Method

What Are Margin Calculation Methods

In sportsbook pricing, margin calculation methods are used to distribute your built-in profit (margin) across odds. They directly shape how odds are calculated from implied probabilities, impacting competitiveness, profitability, and risk exposure. Unlike a fixed margin percentage applied uniformly, margin calculation methods determine how the margin is spread across outcomes based on the underlying probability distribution.

TRADE supports three industry-standard Margin Calculation Methods.

Why Margin Calculation Methods Matter

Margin isn’t just “a number” you add — it affects:

  • Price competitiveness — how attractive your odds are relative to competitors.

  • Profit behavior — which odds contribute most to your expected hold.

  • Risk balance — how pricing behaves in imbalanced or extreme probability scenarios.

Choosing the right method helps you balance market appeal with long-term margin protection.

Supported Margin Calculation Methods

Multiplicative Margin

How it works

Scales the margin in proportion to the implied probabilities — higher probability outcomes get proportionally more margin and lower probability outcomes get proportionally less.

Use Case

Best for common markets with relatively balanced probabilities. It’s straightforward and often comparable with simpler pricing models.

How it works

Applies a normalization exponent to redistribute margin more efficiently using a power multiplier.

Use Case

Ideal for particularly high-odd markets.

Additive Margin

How it works

Applies the same fixed margin amount to every outcome, subtracting evenly regardless of underlying probability.

Use Case

Simple markets and basic use cases where you want the same margin impact across all bets.

Comparing Margin Calculation Methods

Method

Accuracy

Suitability

Probability Control

Bias Handling

Multiplicative

Moderate

Common bets

May exceed 100%

Weak

Power

High

All bets

Always within [0,1]

Strong

Additive

Low

Basic use

Equal distribution

Weak

Examples

Example 1

Raw odd

Raw prob

Multiplicative

Additive

Power

1.18

0.847

1.277

1.219

1.208

7.15

0.139

7.740

8.901

9.518

10.5

0.095

11.366

14.766

14.782

sum 1.082

total_margine 0.0825

Example 2

Raw odd

Raw prob

Multiplicative

Additive

Power

1.224

0.817

1.359

1.282

1.268

5.91

0.169

6.565

7.562

8.045

8.02

0.1247

8.909

11.399

11.511

sum 1.11

total_margine 0.11

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