AI FeaturesAI Decision Metric

Pattern Recognition Confidence

AI's certainty level (0-100%) that a detected pattern is meaningful

Definition

Pattern Recognition Confidence is a percentage score (0-100%) that indicates how certain the AI is that a detected pattern is statistically significant and not random noise. Higher confidence means the pattern has strong historical precedent and clear characteristics. Confidence scores are calculated based on pattern consistency, sample size, statistical significance, and historical accuracy. Only patterns meeting your minimum confidence threshold will trigger AI recommendations or betting adjustments.

Example

Low confidence (45%): AI detects a possible pattern but it's weak - may be random. No action taken. Medium confidence (68%): Pattern has some statistical support - AI suggests caution. High confidence (85%): Strong, clear pattern with historical precedent - AI strongly recommends skipping round or adjusting bet size. Very high confidence (92%): Extremely clear pattern - AI may force skip in protection mode.

💡Strategy Tip

Set your pattern confidence threshold at 70-80% for balanced approach. Lower (60-70%) gives more signals but some false positives. Higher (80-90%) gives fewer but more reliable signals. Conservative players should use 75%+ threshold to avoid acting on weak patterns.