Expected Value (EV) in Sports Betting: Formula & Examples
Expected Value = (Win Probability × Profit) - (Loss Probability × Stake). If EV is positive, the bet profits long-term. A +10% EV bet at $100 earns $10 on average per wager.
What Is Expected Value?
Expected Value (EV) is the average amount you can expect to win or lose on a bet if you placed it infinite times. It's the most important concept in profitable sports betting, rooted in probability theory and decision theory dating back to the 17th-century work of Pascal and Fermat.
Positive EV (+EV): A bet that will profit over time Negative EV (-EV): A bet that will lose over time Zero EV: A bet that will break even over time
Every bet has an expected value. Understanding how to calculate it separates professional bettors from recreational gamblers. As Investopedia explains, expected value is "a key variable in most decision-making scenarios" and forms the foundation of modern portfolio theory in finance.
The EV Formula
The basic expected value formula is:
EV = (Probability of Winning × Amount Won) - (Probability of Losing × Amount Lost)
Where:
- Probability of Winning: Your estimated true probability (as a decimal)
- Amount Won: Your profit if the bet wins (payout minus stake)
- Probability of Losing: 1 minus probability of winning
- Amount Lost: Your stake
Simplified for a standard bet:
EV = (Probability × Decimal Odds × Stake) - Stake
Or as a percentage of stake (EV%):
EV% = (True Probability × Decimal Odds) - 1
Step-by-Step EV Calculation
Example 1: Coin Flip
A fair coin flip has 50% probability for heads. You're offered +120 odds on heads ($100 bet wins $120 profit).
Step 1: Convert odds to decimal
- +120 American = 2.20 decimal
Step 2: Identify true probability
- Fair coin = 50% = 0.50
Step 3: Calculate EV
EV% = (0.50 × 2.20) - 1
EV% = 1.10 - 1
EV% = 0.10 or +10%
Result: This is a +10% EV bet. For every $100 wagered, you expect to profit $10 on average.
Example 2: Football Spread
You believe the Chiefs have a 55% chance to cover -3.5 at -110 odds.
Step 1: Convert odds
- -110 American = 1.909 decimal
Step 2: True probability
- Your estimate = 55% = 0.55
Step 3: Calculate EV
EV% = (0.55 × 1.909) - 1
EV% = 1.05 - 1
EV% = 0.05 or +5%
Result: This is a +5% EV bet.
Example 3: Underdog Moneyline
An underdog is offered at +300 odds. You believe they have a 30% chance to win.
Step 1: Convert odds
- +300 American = 4.00 decimal
Step 2: True probability
- Your estimate = 30% = 0.30
Step 3: Calculate EV
EV% = (0.30 × 4.00) - 1
EV% = 1.20 - 1
EV% = 0.20 or +20%
Result: This is a +20% EV bet.
Understanding Implied Probability
Sportsbook odds imply a probability. To find value, compare implied probability to true probability.
Converting odds to implied probability:
American to Probability:
- Positive odds (+150): 100 / (odds + 100) = 100/250 = 40%
- Negative odds (-150): |odds| / (|odds| + 100) = 150/250 = 60%
Decimal to Probability:
- 1 / decimal odds = implied probability
- 2.50 decimal: 1/2.50 = 40%
If your true probability > implied probability, the bet is +EV.
Example:
Book offers Lakers at +200 (implied 33.3%). You estimate Lakers have 40% chance.
40% > 33.3% → Positive EV
EV% = (0.40 × 3.00) - 1 = +20%
Why Sportsbooks Have Edge (Usually)
Sportsbooks build in a margin (vig) that makes most bets -EV for bettors.
Example: Standard -110/-110 market
Both sides at -110 (1.909 decimal):
- Each side implied: 1/1.909 = 52.4%
- Total implied: 52.4% + 52.4% = 104.8%
The extra 4.8% is the vig. On a fair 50/50 proposition, both bets are -EV:
EV% = (0.50 × 1.909) - 1 = -4.55%
To profit, you must find bets where your edge exceeds the vig.
How to Find +EV Bets
Method 1: Build Better Probability Estimates
If your probability estimates are more accurate than the market's, you find +EV bets.
Process:
- Gather relevant data (team stats, injuries, matchups)
- Build a model or use systematic analysis
- Output probability estimates
- Compare to bookmaker implied probabilities
- Bet when your probability is significantly higher
Method 2: Compare Sharp to Soft Books
Sharp books (Pinnacle, Circa) have efficient odds. Retail books often have softer lines.
Process:
- Use sharp book odds as "true" probability estimate
- Find retail books offering better odds on the same outcome
- Calculate EV based on sharp book implied probability
This is how value betting software works.
Method 3: Exploit Market Inefficiencies
Certain situations create systematic mispricings:
- Public bias toward favorites and overs
- Slow adjustment to injury news
- Less attention on props and minor leagues
Our value bet scanner automates this by comparing odds across 400+ books.
EV Is About the Long Run
Critical understanding: +EV bets still lose sometimes.
A +10% EV bet with 50% win probability:
- Wins 50% of the time → you profit
- Loses 50% of the time → you lose your stake
The edge manifests over volume.
After 1 bet: Could be +$120 or -$100 After 100 bets: Expected profit ~$1,000, but actual range $500-$1,500 After 1,000 bets: Expected profit ~$10,000, variance tightens significantly
This is why:
- You need proper bankroll management
- You track Closing Line Value (not just results)
- You bet consistently over time
- Short-term results don't validate or invalidate your approach (see our guide on variance)
EV and Stake Sizing
How much to bet on +EV opportunities? The Kelly Criterion answers this:
Kelly % = (Probability × (Decimal Odds - 1) - (1 - Probability)) / (Decimal Odds - 1)
Or simplified:
Kelly % = Edge / (Decimal Odds - 1)
Example:
+10% edge at +100 odds (2.00 decimal):
Kelly % = 0.10 / 1.00 = 10% of bankroll
In practice, use fractional Kelly (25-50%) to reduce variance.
Our Kelly calculator computes optimal stake for any bet.
Common EV Mistakes
1. Using implied probability as true probability
The book's odds aren't "true." They include vig and may be mispriced. You need your own probability estimate.
2. Ignoring vig in calculations
A +105/-105 market might look close to fair, but it has ~2.4% vig. Factor this in.
3. Overconfident probability estimates
If you think you have 70% on something the market prices at 50%, check yourself. Large edges are rare.
4. Judging by short-term results
Winning doesn't mean you found +EV. Losing doesn't mean you didn't. Track CLV to verify edge.
5. Betting -EV because "it feels right"
Gut feelings aren't probability estimates. Math beats intuition in betting.
Using EV in Practice
Daily process:
- Identify potential bets (from model or software)
- Calculate/verify EV for each
- Skip anything below your threshold (e.g., 2% minimum)
- Size bets using Kelly criterion
- Track bets with EV% and closing odds
- Review CLV to verify you're capturing edge
Example workflow:
- Software flags: Lakers +150, sharp consensus at +120
- Your calculation: If +120 is fair (implied 45.5%), then +150 at 40% implied is +EV
- EV% = (0.455 × 2.50) - 1 = +13.75%
- Stake: Fractional Kelly suggests ~3% of bankroll
- Place bet, record, track closing line
Tools for EV Calculation
Our free EV calculator: Calculate Expected Value
Input:
- Your probability estimate
- The odds offered
- Your stake
Output:
- EV in dollars
- EV as percentage
- Whether the bet is +EV or -EV
For automated EV finding:
Our value bet scanner calculates EV for thousands of bets across 400+ sportsbooks, highlighting +EV opportunities in real-time.
Key Takeaways
- EV = (Probability × Payout) - Stake is the fundamental formula
- +EV bets profit long-term, even when individual bets lose
- Compare true probability to implied probability to find edge
- Sportsbook vig makes most bets -EV by default
- To find +EV: Build better models or compare sharp to soft books
- Volume matters: EV manifests over hundreds/thousands of bets
- Kelly criterion determines how much to stake on +EV bets
- Track CLV to verify you're actually finding edge
- Use tools to automate EV calculation and discovery
Ready to find +EV bets?
Use our EV Calculator to analyze any bet, or let our value bet scanner automatically find positive expected value opportunities across hundreds of sportsbooks.
Frequently Asked Questions
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Juan Sebastian Brito is the CEO and Co-Founder of Bet Hero, a sports betting analytics platform used by thousands of bettors to find +EV opportunities and arbitrage. With a background in software engineering and computer science from FIB (Universitat Politècnica de Catalunya), he built Bet Hero to bring data-driven, mathematically-proven betting strategies to the mainstream. His work focuses on probability theory, real-time odds analysis, and building tools that give bettors a quantifiable edge.
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