Playing across multiple crypto casino accounts generates bet history data in separate platform records that cannot be compared directly unless they are consolidated into a single location. A spreadsheet built to receive data from each platform provides a common structure where all session results sit in the same format and can be analysed together.
Setting up a multi-platform tracker begins with defining the column structure. The sheet needs to capture the same data points from every platform, which means selecting fields that are available in every account’s bet history export. The standard exportable fields at https://crypto.games/ include date, game name, stake, return, and net result. Having these five columns makes a multi-platform tracker functional.
Is there a best format for multiple platforms?
A single sheet with a platform identifier column handles multiple sources more cleanly than separate sheets per platform when the goal is cross-platform analysis. Each row represents one session or one bet, depending on how granular the tracking needs to be. The platform name or a short code sits in the first column, followed by the standard data fields. Filtering by the platform column isolates any single source when needed, and removing the filter returns the full combined dataset. Session-level tracking is practical for most purposes. Rather than importing every individual bet, a single row per session records the session date, platform, game type, total staked, total returned, and net result. This level of granularity is sufficient for trend analysis and reduces the volume of data that needs to be entered or imported from each platform.
Useful calculated columns
Raw data columns record what happened. Calculated columns turn that data into information that can be acted on. The most useful calculated fields for a multi-platform tracker are net result per session, cumulative profit across all sessions, win rate per game type, and average stake per session. Cumulative profit is built by summing the net result column from the first row to the current row in a running total. Each new session entry automatically extends the running total without requiring a manual update. A chart built on this column shows the profit curve across all platforms and sessions in a single view.
Win rate per game type requires a filter or a pivot structure that groups sessions by game name and calculates the percentage of those sessions that recorded a positive net result. This reveals which game types have performed above break-even across the full multi-platform dataset, which is not visible from any single platform’s history alone.
Importing data from platform exports
Most crypto casino platforms provide a bet history export in CSV format. Importing this file into the tracker sheet requires mapping the platform’s column headers to the tracker’s column structure, which differs between platforms. A mapping reference stored in a separate sheet tab records which source column corresponds to which tracker column for each platform, so the import process is consistent each time new data is added.
Date format standardisation is the most common source of import errors. Platforms export dates in different formats, and mixing formats within the date column produces sorting and filtering errors. Converting all dates to a single format, such as YYYY-MM-DD, as part of the import step keeps the column consistent regardless of the source.
