Executive Overview
Monthly Performance – Aug 2026 · Full month · 1–31 Aug 2026
Daily Turnover & House GGR (USD)
Management Insights
Monthly Executive Highlights
Management Action Plan
Market Growth Diagnostic · First 7D vs Latest 7D
Merchant Drivers
Market Contribution
Vendor Contribution
Daily Performance
Growth trajectory, margin stability and operating velocity
Daily Turnover USD
Daily Margin %
Daily Detail
Market / Currency Performance
All portfolio totals are USD-normalized; local currencies are never summed directly
Turnover USD by Market
Margin % by Market
Vendor Performance
Platform field = rented table provider / vendor
Vendor Turnover USD
Vendor Detail
Merchant Intelligence
Source: Player Summary · Merchant = player acquisition / agent source
Merchant Turnover Contribution
Merchant Player Value
Merchant Management Insights
Merchant segmentation is a management heuristic: Strategic = high scale + strong player value; Scale Opportunity = strong turnover/player but smaller current scale; Volume = many players with lower value/player; Concentration Risk = material turnover heavily dependent on a small number of players. It is intended for commercial prioritisation, not as a compliance or fraud classification.
Player Intelligence
Player Summary enriched with Merchant · financial values normalized to USD
Top Players by Turnover USD
Player Concentration
Table Efficiency
Shoe-level operating efficiency · provider-specific benchmarking · period shown as HH:MM
Source: Game Round Breakdown, 1–31 Aug 2026. Start/End date and Vendor filters apply.
Currency, Player and Game Type filters do not change shoe efficiency because the shoe report is operational, not player-currency level.
Provider benchmarks are calculated separately for 0857 and Betrnk.
Operational Speed · Rounds / Hour
Commercial Productivity · Turnover / Hour
Efficiency Insights
Provider Benchmark
Table Efficiency Ranking
Each row is one table, aggregated across the whole selected date range (default: 1–31 Aug). For a day-by-day breakdown per table, see Daily Table Activity below.
Daily Table Activity
One row per table per day: shoes completed, rounds dealt, average shoe period, and the first round-start / last round-end seen that day for that table. Respects the Start/End Date, Vendor and Table filters above.
Shoe Detail
Period = Round End − Round Start, displayed as HH:MM. Latest 100 shoes shown.
Bet Type Performance
Main bet vs side-bet economics · currency preference · GGR contribution
Source: Table Bet-Type Breakdown, aggregated for 1–31 Aug 2026. Currency and Vendor filters apply.
The source is period-aggregated, so changing Start/End Date does not change this section.
Side Bet = Category Sub + Others.
Turnover by Bet Type
House GGR by Bet Type
Management Insights
Currency Side-Bet Propensity
Bet Type Economics
Player Engagement & Value Segmentation
Player value × wager size × game-round engagement × active playing period
Full-Aug methodology: the refreshed source is aggregated by player/day/table, so the dashboard measures game rounds per active day and the player's active playing period (first active day to last active day).
Exact session duration cannot be reconstructed from the full-month aggregate source.
Player Value Tier uses total turnover percentile within each market, while Wager Size Tier uses average wager percentile within each market.
Market Engagement Profile
How to read: Player Turnover ≈ Avg Bet / Round × Rounds / Active Day × Active Days. This separates wager size, playing depth and return frequency.
Management Insights
Player Value Tier
Average Wager Size Tier
Player Value × Avg Rounds / Active Day Matrix
Cell = number of players; % = share within that Player Value tier.
Individual Player Engagement Profile
Sorted by turnover. Full-Aug engagement is measured by active day, not login session. Global filters and segmentation filters apply.
Player Risk / Anomaly View
Analytical review flags only — not fraud conclusions