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Optiqal is a professional-grade prediction platform built for serious users who demand transparency and edge. Whether you trade prediction markets, wager on sports, or act on real-world forecasts, we show you exactly why each prediction was surfaced: the probability, the edge, and the key factors. Our models span sports, prediction markets (Polymarket), weather, esports, and more — all built on proprietary algorithms that combine historical analysis, real-time data ingestion, and advanced statistical modeling to identify opportunities others miss. Every prediction passes through rigorous quality filters before reaching you, so you can focus on execution rather than second-guessing the signal.

Release times are model-specific. Sports models typically use a morning ET unlock, while global and event-driven models (prediction markets, esports, weather) follow their own schedules. See the Scheduler section below for exact windows.

We currently offer models across multiple categories: sports (NBA, NHL, UFC), prediction markets (Polymarket), esports (CS2), weather forecasting, and more. Each model is built with domain-specific methodology and data sources, with new models being added regularly.

After logging in, click "Dashboard" in the navigation to access the Terminal. From there you can view all active predictions, filter by model, and see detailed output information.

We offer monthly subscriptions with full access to all models and features. Visit our pricing page for current rates and details on what's included.

Yes, you can cancel anytime. Your access continues until the end of your current billing period. No refunds are provided for partial periods. To cancel your subscription, navigate to your account settings.

We tier predictions by model confidence: MAX (highest conviction), STRONG (solid confidence), and MEDIUM (threshold-clearing). All predictions have passed our quality filtering system regardless of tier.

Model probability represents our calculated likelihood of an outcome. Each model uses sport-specific methodology combining statistical analysis, historical data, and contextual factors.

Each model is capped at a maximum number of surfaced predictions per slate. If fewer predictions pass thresholds, fewer are shown. We prioritize quality over volume.

Each model has dedicated documentation explaining the methodology, data sources, and how predictions are generated. Visit the model documentation section for detailed technical information.

Dark periods are short freeze windows when boards are hidden while the next slate is finalized. Each model category has its own dark period — check the model-specific documentation for exact windows.

Publish times vary by model type. Sports models typically unlock in the morning ET, while global and event-driven models (esports, prediction markets) unlock on their own schedules aligned with market activity.

Predictions are locked well before the relevant event or market resolution. Lock times vary by model — sports models lock hours before game start, while market-based models lock based on event timelines.

Completed predictions remain visible for a grace window after final settlement, then roll into dark period behavior until the next slate unlocks.

Data is refreshed continuously throughout the day. Board unlocks follow each model's scheduler window — sports models typically unlock in the morning ET, while prediction markets, esports, and other global models follow their own cadence.