Skip to content
Stats & Modeling

Backtesting

Replaying a strategy on history.

Definition

Backtesting means replaying a betting strategy on past games to see how it would have performed using only information available before each bet. It helps separate a clear rule from a guess. The basic return formula is:

ROI = net profit / total amount risked

If a strategy risked $5,000 across historical bets and finished with $250 in profit, its ROI was 5%.

Worked Example

A bettor tests a rule: bet Team A only when their projected win probability is 55% or higher and the market price is -110.

At -110 odds, a $110 bet wins $100 if it cashes. The break-even probability is:

110 / (110 + 100) = 52.38%

The backtest finds 100 qualifying bets. Each risks $110, so total amount risked is $11,000. If 56 bets win, profit is:

56 × $100 = $5,600
44 × $110 = $4,840 lost
Net profit = $760
ROI = $760 / $11,000 = 6.91%

Why It Matters

Backtesting helps a bettor check whether a rule had measurable value after accounting for odds, stake size, and losses. It is most useful for finding weak assumptions before risking real money.

We use cookies for essential site functionality. With your consent, we also use cookies for analytics and performance monitoring. See our Privacy Policy.