+EV & Arbitrage Betting Finder: 18 Sportsbooks + Exchanges

Finds positive expected value (+EV) bets and arbitrage (sure bets) across 18 sportsbooks (DraftKings, FanDuel, BetMGM, Caesars, Fanatics, bet365, BetRivers, theScore Bet, Hard Rock Bet, Bally Bet, Unibet, BetVictor, Betfred, Parx, Bet99, Sports Interaction, TonyBet, LeoVegas) and three betting exchanges (Kalshi, Polymarket, Smarkets). For every bet it gives the fair (no-vig) price, the edge %, the best book and every other book's price; for every arbitrage, the books, odds and stake split.

NFL, NCAA Football, NBA, NCAA Basketball, WNBA, MLB, NHL, 8 soccer leagues (Premier League, La Liga, Bundesliga, Serie A, Ligue 1, Champions League, Europa League, MLS), UFC and ATP/WTA tennis. Moneyline, spread and total, main and alternate lines. A run takes seconds.

Contents

• Why this finder
• How the fair price and edge are worked out
• Output
• Input
• Input examples
• Use it from an AI assistant
• Good to know
• FAQ

✅ Why this finder

• 21 price sources in one run. Most +EV tools compare 3–4 books. More books means a sharper fair price and more chances that one book is behind the market.
• Exchanges included. Kalshi and Polymarket prices (prediction markets) and the Smarkets order book go into the fair price; Kalshi and Smarkets are also offered as places to bet, with their fees taken off.
• Each sportsbook counts once. DraftKings in 15 states is still one opinion, not 15.
• Bad prices filtered out. A price far from every other book (a swapped or stale line) is dropped instead of showing up as a 400% "edge".
• Your books only. Pick the sportsbooks legal where you are; the finder only suggests bets there.
• Best first. Arbitrage first (highest profit), then +EV bets (highest edge): a capped run returns the best opportunities.

🧮 How the fair price and edge are worked out

1. For every line (the moneyline, the spread at -3.5, the total at 221.5...), each book's prices for all outcomes are turned into probabilities and its margin (the "vig") is removed.
2. The fair probability of each outcome is the median across books, so one odd book can't move it.
3. Edge (EV %) = fair probability × decimal odds − 1. An edge of 3% means 3 units of expected profit per 100 staked, over many bets.
4. Arbitrage: when the best prices for every outcome add up to less than 100% implied probability, staking in the shown proportions wins the same amount whatever happens.

Spreads and totals are only compared at the same number: a -3.5 price is never compared with -4.

📋 Output

Rows are either bet (one outcome) or arbitrage (one set of bets). See the Output tab's Opportunities view for a table.

+EV bet:

{
  "row_type": "bet",
  "league": "nfl",
  "start_time": "2026-11-01T18:00:00.000Z",
  "away_team": "Miami Dolphins",
  "home_team": "Buffalo Bills",
  "market": "moneyline",
  "selection": "Miami Dolphins",
  "fair_probability_pct": 25.16,
  "fair_odds_american": 297,
  "fair_price_books": ["BetMGM", "Caesars", "DraftKings", "FanDuel", "Kalshi", "Polymarket", "Smarkets", "..."],
  "best_book": "DraftKings",
  "best_odds_american": 310,
  "best_odds_decimal": 4.1,
  "ev_pct": 3.17,
  "books_at_best_price": ["DraftKings"],
  "books_quoting": 16,
  "prices": [
    {"book": "DraftKings", "odds_american": 310, "odds_decimal": 4.1, "ev_pct": 3.17},
    {"book": "FanDuel", "odds_american": 290, "odds_decimal": 3.9, "ev_pct": -1.87}
  ],
  "scanned_at": "2026-10-27T18:05:12Z"
}

Arbitrage:

{
  "row_type": "arbitrage",
  "league": "nhl",
  "market": "total",
  "line": 6.5,
  "arbitrage_profit_pct": 3.0,
  "legs": [
    {"selection": "Over 6.5", "book": "Unibet", "odds_american": 105, "stake_pct": 50.24},
    {"selection": "Under 6.5", "book": "BetRivers", "odds_american": 107, "stake_pct": 49.76}
  ]
}

Every row also has the game id, start time (UTC), teams and the game's Action Network page, plus the Smarkets event link when the game was matched there. Download as JSON, CSV or Excel, or read it through the Apify API.

⚙️ Input

Parameter	Default	Description
leagues	US leagues	Which leagues to scan (soccer, UFC and tennis are opt-in).
opportunities	both	positiveEv and/or arbitrage.
markets	all	moneyline, spread, total.
books	all	Only suggest bets at these books, e.g. ["DraftKings", "FanDuel"].
minEvPct	1	Smallest edge to return, in %.
maxEdgePct	20	Hide edges and arbitrage above this % (nearly always a stale price). null = show all.
daysAhead	1	Daily leagues: also scan this many days after today. NFL/NCAAF always scan this week.
startsWithinHours	none	Only games starting within this many hours.
allOutcomes	false	Every outcome of every line (a full odds screen with fair prices), not just edges.
minBooks	3	Books needed before a line gets a fair price.
devigMethod	multiplicative	Or power, which takes more margin off long shots.
includeSmarkets	true	Add the Smarkets exchange.
maxItems	50	Max rows, best first. null = all.

🧪 Input examples

Tonight's +EV bets at DraftKings and FanDuel, NBA and NHL:

{ "leagues": ["nba", "nhl"], "books": ["DraftKings", "FanDuel"], "daysAhead": 0, "maxItems": null }

Arbitrage only, every league, next 3 days:

{ "leagues": ["nfl", "ncaaf", "nba", "ncaab", "nhl", "mlb", "soccer", "ufc"], "opportunities": ["arbitrage"], "daysAhead": 3, "maxItems": null }

A full NFL odds screen with fair prices (every outcome, edge or not):

{ "leagues": ["nfl"], "allOutcomes": true, "maxItems": null }

Run it every 10 minutes with an Apify Schedule and a webhook or integration (Slack, email, Google Sheets) to get alerts while the edge is still there.

🤖 Use it from an AI assistant

Connect Claude, ChatGPT, Cursor or any MCP client to Apify's MCP server and this Actor becomes a tool it can call. Questions that map straight onto the input:

• "Any +EV NBA bets at FanDuel tonight?" → leagues: ["nba"], books: ["FanDuel"], daysAhead: 0
• "Is there an arbitrage on Sunday's NFL games?" → leagues: ["nfl"], opportunities: ["arbitrage"]
• "What's the fair price of the Bills moneyline?" → leagues: ["nfl"], allOutcomes: true, markets: ["moneyline"]

The status message of every run sums it up ("97 games, 358 lines scanned: 8 arbitrage, 24 +EV of 1%+"), and rows come back best first.

ℹ️ Good to know

• Prices move fast. Rows carry scanned_at; check the price at the book before betting. Big edges are often a book that hasn't moved its line yet and will within minutes.
• Games that have started are skipped. In-play prices lag and would show false edges.
• Exchange fees are included: Kalshi's trading fee and Smarkets' 2% commission are taken off before the edge is calculated. Polymarket prices are midpoints, so they shape the fair price but are never suggested as a bet.
• Smarkets covers US leagues and soccer; NHL spreads and totals and UFC/tennis use the sportsbooks only. Smarkets prices are in the order book, so stakes may be limited (stake_available_gbp).
• Asian quarter lines (-0.25, 1.75) are skipped.
• Pinnacle isn't included. The fair price is the consensus of all the other books and exchanges.
• This is data, not betting advice. Bet only where it's legal for you.

❓ FAQ

What's the difference between +EV and arbitrage? Arbitrage wins on every outcome, but is rare and small (0.5–3%). A +EV bet can lose; it's a price better than the fair odds, so over many bets it should win more than it loses.

Why didn't a bet I expected show up? It needs minBooks books pricing the same line, an edge above minEvPct and below maxEdgePct, and (with books) a price at one of your books.

How often should I run it? Lines move most in the last hours before a game. Every 5–15 minutes with startsWithinHours set is a good start.

Can I see the raw odds of every sportsbook too? Yes: allOutcomes: true returns every outcome with all books' prices in prices. For public betting splits, line movement and props, see the Action Network Odds Scraper.

🔗 You might also like

• Action Network Odds, Betting Splits & Line Movement Scraper
• Sports Odds History: Opening & Closing Lines
• Kalshi & Polymarket Prediction Markets Scraper
• Smarkets Betting Exchange Scraper