301 cross-venue arbitrage opportunity windows measured in 4 days: median 0.74% net edge, largest 12.49%. Real data, all fees included.
Blog & data reports
Market math, explained honestly — arbitrage, fees, order books, and what the data actually shows. The reports are computed straight from the scanner's archive; the guides are written to answer one question completely. Looking for the numbers themselves? Sportsbook vig rankings, Kalshi vs Polymarket, arbitrage by sport.
Monthly data reports
How often cross-venue opportunities appeared, how big they were and how long they lasted — no estimates, every figure traceable to a query.
Guides
Definitive 2026 guide to Polymarket fees: taker fee formulas, category rates, and real-world examples. Learn how Polymarket fees work, step by step.
A definitive, math-driven guide to understanding prediction market arbitrage after fees, with worked examples and honest breakdowns of real net outcomes.
A complete guide to the Polymarket taker fee: what it is, when it's charged, category breakdowns, and how to do the math with real-world examples.
A complete, numbers-driven guide to Polymarket deposit fees: supported currencies, on-chain and off-chain costs, and how they impact your trading.
A definitive, practical explainer on Polymarket transaction fees: how they work, how much they cost, and what to watch for in real trades.
The definitive, math-driven guide to Polymarket fees: taker fee formula, category differences, transaction costs, and real-world worked examples.
A concrete, numbers-first look at how fees, slippage, and other frictions erode arbitrage profits in prediction markets and sportsbooks.
Exploring why arbitrage is more common in spreads and totals than moneylines, with real-world math. Practical guide for prediction market and sportsbook users.
Explore how long betting arbitrage opportunities last, what drives their duration, and real-world timing data for prediction markets and sportsbooks.
How resolution rules shape arbitrage opportunities across prediction markets and sportsbooks, with real-world examples and math-driven analysis.
Explore how top-of-book quotes can mislead traders in betting and prediction markets, with numerate examples and practical strategies for deeper analysis.
A practical guide to Polymarket taker fees, how they differ by market category, and how these affect pricing gaps and arbitrage math.
A deep dive into Kalshi's fee structure, with worked math on trading costs, event fees, and how they affect your real net prices in prediction markets.
Learn how to compare odds across sportsbooks mathematically, accounting for fees, format differences, and fillable size. Practical examples included.
Understand how sports arbitrage works across moneylines (h2h), spreads, and totals, with concrete math and real-world examples. No promises—just the math.
A practical guide to sportsbook vig: what it is, how it's calculated, and how to remove it from betting odds (devigging), with real-world examples.
Explore the real risks behind arbitrage betting with concrete examples, math, and a clear-eyed look at what 'risk-free' really means in practice.
Explore why the same event trades at different prices on Kalshi and Polymarket. Learn the math, examples, and practical factors behind price gaps.
A practical, plain-English explainer of prediction market arbitrage, with worked examples, math, and how to spot cross-market opportunities.
The Weekly Edge
Monday recap: the week's top measured opportunities and the cheapest books. Also delivered by email.
The week's top measured cross-venue opportunities: best 14.98% net edge across 741 markets. Real data, all fees included.
The week's top measured cross-venue opportunities: best 14.95% net edge across 372 markets. Real data, all fees included.
The week's top measured cross-venue opportunities: best 14.99% net edge across 305 markets. Real data, all fees included.