Distribution & Temporal Analysis
This domain focuses on how number behavior changes over time. It measures long-term distribution, short-term shifts, and absence/re-entry dynamics — helping SKAI separate stable signals from noise.
What this domain measures
Distribution & temporal analysis looks at how outcomes behave across time horizons. SKAI uses it to understand whether a number’s recent activity is consistent with its longer-term baseline.
- Baseline distribution: long-term frequency behavior.
- Recent drift: short-term movement versus baseline.
- Absence dynamics: gaps, skips, and re-entry timing.
- Window stability: whether signals hold across different draw windows.
Key methods in this domain
Frequency & Recency Modeling
Models long-term frequency with adaptive weighting that prioritizes recent behavior without ignoring baseline.
Skip & Gap Distance Analysis
Measures how long numbers remain absent and how often they re-enter after different gap lengths.
Rolling Window Analysis
Recomputes signals across moving draw windows to detect emerging shifts and reduce window overfitting.
Hit-Rate Trend Analysis
Evaluates consistency of returns over time, not just raw appearance counts.
Volatility Monitoring
Flags periods where distributions become unstable, helping SKAI avoid overweighting transient streaks.
Window Cross-Validation
Tests whether a signal holds across multiple window sizes, improving robustness.
How SKAI uses these signals
SKAI treats temporal signals as one layer in a larger system. These measures influence rankings only when they remain stable across windows and align with broader distribution behavior. When signals conflict, SKAI reduces their weight instead of forcing a “confident” prediction.
- Signals are blended — not used in isolation.
- Short-term spikes are discounted if they fail stability checks.
- Ranking emphasizes repeatable behavior over narrative streaks.
Where you’ll see this in LottoExpert
These signals typically appear inside SKAI ranking panels, skip & hit modules, and trend-aware charts. When available, LottoExpert surfaces the most relevant time horizon so you can understand what is being weighted.
- SKAI ranking and probability panels
- Skip & hit analysis modules
- Rolling window charts and trend views
Responsible use: lotteries are random and no method can guarantee outcomes. SKAI is designed to help interpret probability signals — with clarity and control.
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