Ingestion and normalisation
Map provider-specific names into stable categories, store raw event payloads when appropriate and prevent duplicate IDs. Use settlement times so a delayed API response does not invent a spike of simultaneous rounds.
Calculate frequency and streaks
Count each outcome within each timeframe, calculate a comparison with the reference model and update consecutive appearance or absence counters when a new completed round arrives.
Present honest freshness signals
Show the last recorded result time and warn about incomplete intervals. A near-real-time chart that silently freezes can make a long absence seem longer than it actually is.
Working with the historical data
For a useful comparison, specify the recording date, timezone, game table and observation window. A historical count without those details can easily be interpreted outside the circumstances in which it was measured. Distinguish theoretical probabilities described in game rules from estimated frequencies measured in a particular data source.
Record-based tools are most useful when they make observations reproducible. If a chart cannot be reconciled with the underlying event history, it needs a data-quality review before anyone treats its values as authoritative.
Frequently asked question
Can charts repair missing source events?
No. Data gaps must be detected, reconciled or clearly marked.