The Concept That Separates Profitable Punters From Everyone Else
Ask the average punter how they decide whether a bet is good and they'll say something like: "I think they'll win" or "I fancy their chances." Ask a professional and they'll tell you the expected value.
Expected Value — or EV — is the single most important concept in sports betting, and the vast majority of recreational punters have never heard of it. Once you understand it, you'll never look at a bet the same way again.
What Is Expected Value?
Expected value is the average outcome of a bet if you placed it an infinite number of times. It answers the question: on average, do I make or lose money every time I place this bet?
The formula: EV = (Probability of Winning × Profit per Win) − (Probability of Losing × Loss per Bet)
If EV is positive, the bet makes money on average. If it's negative, it loses money on average — regardless of the individual outcome.
A Concrete NRL Example
Say the Sydney Roosters are at $2.10 and your model gives them a 55% chance of winning. EV on a $100 stake:
- Profit if win: $100 × (2.10 − 1) = $110
- EV = (0.55 × $110) − (0.45 × $100) = $60.50 − $45.00 = +$15.50
Positive EV. Place it 100 times and expect +$1,550 — even though you lose 45 of those bets individually.
Same game, same team, but odds are $1.75:
- EV = (0.55 × $75) − (0.45 × $100) = $41.25 − $45.00 = −$3.75
Negative EV. Same team. Same confidence. Different price — losing bet.
Why Win Rate Doesn't Tell You Everything
This is the insight that changes everything: you can win 60% of your bets and still lose money. And you can win only 45% and still be profitable.
It all depends on whether you're consistently getting paid fairly for the risk you're taking. A punter constantly backing $1.30 favourites is getting paid $0.30 for every $1 risked. When the favourite loses, they lose the full dollar. The EV is negative despite a high win rate.
Our model targets bets where the implied probability in the odds is lower than our estimated true probability. That difference is the edge.
Implied Probability: Reading the Odds
Every set of decimal odds implies a probability. Formula: Implied Probability = 1 ÷ Decimal Odds
- $1.50 → 66.7% implied probability
- $2.00 → 50% implied probability
- $3.00 → 33.3% implied probability
Bookmakers add a margin so the probabilities across both sides add up to more than 100%. That extra percentage — typically 4-8% on NRL/AFL — is the house edge. To beat it, your probability estimates need to be more accurate than the bookmaker's.
How Our Model Finds Positive EV
Every tip we release is a bet where our estimated probability exceeds the implied probability in the best available odds. That gap is the expected value.
We don't tip just because we think a team will win. We tip because we think the market has underestimated their probability. When the model says 72% and the odds imply 58%, that's a +EV bet worth taking. When the model says 72% and the odds imply 75%, we pass — even though we think they'll probably win.
Start Thinking in EV
Before every bet, ask: what probability am I assigning to this outcome, and are the odds offering fair compensation for that risk? If you can't answer that question, you're not betting on value — you're gambling on hope.
Our model does this calculation for every match across every sport. Tips delivered daily at 7am AEST.
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