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Protect promotional ROI. Detect matched betting. Stop arbitrage exploitation. Prevent 15-30% bonus losses.
Identify systematic backing/laying to extract bonuses with minimal risk
Real-time odds monitoring across books to detect guaranteed profit opportunities
Network analysis discovering coordinated accounts exploiting bonuses collectively
Flag players accumulating bonuses before wagering or across multiple accounts
Systematic patterns in free bet usage designed to game promotion terms
Identify players taking contradictory positions guaranteeing payouts
Deterministic pattern matching for common tactics: matched betting, bonus stacking
ML models trained on historical abuse cases; 90%+ accuracy on known patterns
Isolation forests detect novel exploitation approaches without labeled data
Analyze bet placement timing, stake progression, bonus usage sequences
Real-time odds monitoring; detect arbitrage opportunities across books
Graph clustering reveals multi-account schemes and coordinated exploits
Identify sudden behavioral shifts or seasonal abuse patterns
Models retrain quarterly on new abuse patterns and seasonal trends
Back bet + lay bet (same event), minimal net exposure, rapid bonus clearance
Contradictory positions across events guaranteeing profits regardless of outcome
Multiple concurrent bonuses from rapid deposits/signups; minimal wagering
Systematic use of free bets to maximize edge (backing favorites, laying underdogs)
High-velocity account creation pattern; repeated welcome bonus claims
Multiple accounts from same IP/device with coordinated betting behavior
Analyze bonus offerings, abuse history, promotional rules, current controls
Design detection pipelines for matched betting, arbitrage, multi-account abuse
Build ML models, rule engines, market data integration, network analysis
Deploy on subset of bonuses; validate accuracy, false positive rates
Full deployment; integrate with bonus engine; train compliance teams
Stop matched betting. Prevent arbitrage exploitation. Recover 15-30% in bonus losses. Maintain fair markets.
Schedule a Demo →Matched betting is a deterministic pattern: back bet + lay bet on same event with minimal net exposure. We identify backing/laying pairs across operator and affiliate networks. Rapid bonus clearance confirms intent.
Yes. Real-time odds monitoring across betting operators identifies guaranteed profit opportunities (back on A, lay on B where implied probabilities exclude arbitrage margin). We flag players executing these patterns.
Our models achieve 1-3% false positive rate on known abuse patterns. This means legitimate players rarely blocked. Legitimate arbitrage (market-making) requires manual review to distinguish from fraud.
Network analysis via shared attributes (IP, device, payment method, email) reveals coordinated accounts. Graph clustering identifies fraud rings. Behavioral similarity scoring strengthens linkage confidence.
Yes. We track abuse prevention rate (% bonus offers blocked/flagged), legitimate approval rate (% legitimate players approved), and net ROI improvement. Typical operators see 15-30% abuse loss recovery.