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What is a value bet in AFL?

A value bet is a price that pays more than the true chance of the result justifies. It has nothing to do with backing winners โ€” favourites, underdogs, anyone can be value. It's the gap between two numbers: what a result is really worth, and what the bookmaker is paying for it.

The one equation that matters

Every set of decimal odds implies a probability: implied % = 100 รท odds. A team at $2.00 is priced as a 50% chance; $4.00 implies 25%; $1.25 implies 80%.

A bet has value when:

Your probability > the market's implied probability. If you rate a side a 55% chance and the market's price implies 48%, you have a 7-point edge. If you rate them 45% at the same price, the bookmaker has the edge โ€” even if the team wins that day.

A worked AFL example

Say the Bulldogs are $2.10 to beat the Swans. The implied probability is 100 รท 2.10 โ‰ˆ 47.6%. Suppose a statistical model โ€” one that weighs form, home ground, injuries via team ratings โ€” makes the Dogs a 56% chance.

Bulldogs
Bookmaker price$2.10
Market implied probability47.6%
Model probability56%
Edge+8.4 points

If the model is right, $10 on this spot 100 times returns about $10 ร— 2.10 ร— 56 = $1,176 for $1,000 staked โ€” roughly an 18% profit in the long run. Any single Saturday? The Dogs still lose 44 times out of 100. Value is a repeated-game concept, not a promise about this week.

Why the edge must beat the bookmaker's margin

Bookmakers don't price markets to 100% โ€” they price to roughly 104โ€“106% so that they profit whichever side wins (the "overround" or vig). That means a small model edge of one or two points usually isn't value at all; it's inside the margin's noise. Serious value hunting first removes the vig (rescales both sides so they sum to 100%) and then compares model vs market. That's exactly what FootyAI does before it calls anything a value pick โ€” and why most games have none.

Where value comes from in footy

What value betting is not

See the edge before you tip

FootyAI compares a statistical model's probabilities against de-vigged bookmaker consensus for every AFL game โ€” and shows model %, market % and the edge on each pick.

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