Sportsbook Management Software Built for Operators

At volume, manual grading is not viable. A single error on a high-liability market creates both a player dispute and a compliance record. Settlement delays damage player experience. For complex bet types including parlays, same-game parlays, and system bets, the grading logic is detailed enough that any manual process introduces inconsistency. OpticOdds automates bet grading across five outcome types: Won, Lost, Refunded, Half Won, and Half Lost. Settlement data is tied to the same real-time event feed that drives live odds. As results are confirmed, grading triggers automatically without requiring manual input. Historical settlement records are stored and retrievable for regulatory audits, player disputes, and trading model review.

In-play betting requires continuous odds management. As game events unfold — a goal scored, a key player substituted, a weather delay called — market prices need to update immediately. OpticOdds provides an odds screen that gives your trading team a structured view of live odds movement across the books in your feed. Trading desks see where the market is moving before exposure becomes a liability. Line adjustments can be made with reference to what the sharpest books have already priced. In-play market management becomes a data-driven workflow rather than a reactive one. The odds screen connects directly to the underlying data layer: 300+ sportsbooks, updated continuously, with SSE streaming ensuring that price signals reach your team with minimal delay.

For operators running automated trading models, OpticOdds provides Copilot: a structured, low-latency data layer built specifically for prematch and in-play automation. Copilot delivers clean, consistent data in formats that integrate with both streaming and polling architectures. For teams already running SSE-based systems, Copilot feeds directly into existing pipelines. For teams using REST polling, the data structure is consistent across every market and sport, reducing the normalisation work required on your side. Use cases include automated pre-match pricing based on aggregated market signals and in-play limit adjustment triggered by score events, injuries, or odds movement thresholds.