Executive Overview
Monthly Performance – Aug 2026 · Full month · 1–31 Aug 2026
Daily Turnover & House GGR (USD)
Management Insights
Monthly Executive Highlights
MTD management review: portfolio-level observations below compare 1–7 Aug with 25–31 Aug. They remain fixed when dashboard filters are used so management always retains the monthly context.
VND2 – acquisition is scaling exponentially, but wallet depth remains small. Active players rose from 19 to 3,711 (+19,431.6%), while weekly turnover rose from $450.34 to $229,561 (+50,874.9%). Latest average bet is only $10.95, with 5.7 bets/player and $61.86 turnover/player. This suggests the next growth lever is repeat activity and retention, not simply raising average stake. WGVND supplies 99.4% of VND2 turnover.
CNY – active-player growth is much faster than monetisation. Active players increased from 28 to 4,582 (+16,264.3%), but average bet fell from $51.05 to $22.80 and turnover/player fell from $616.23 to $258.11. MTD CNY turnover is $2,184,051 with $-14,664 House GGR (-0.7% margin). The data is consistent with a large influx of lower-value/newly activated players. WGCNY contributes 99.8% of CNY turnover.
USD – the issue is concentration and merchant mix more than acquisition. USD MTD turnover is $10,039,310, House GGR $336,667 and margin 3.4%. WGA130 contributes 49.7% of USD turnover but only 1.6% margin, while WGASIA contributes 36.1% at 4.2% margin. In the latest seven days, WGA130 alone contributed 59.2% of USD turnover, showing that recent USD growth is heavily merchant-driven.
Key monthly message: the markets are at different stages. VND2 = acquire → retain → increase frequency; CNY = acquire → improve player quality/value; USD = protect volume → diversify merchant/player concentration → improve sustainable hold quality.
Management Action Plan
1. VND2 – convert acquisition into repeat turnover. Track 7-day returning-player rate, bets/player and turnover/player by merchant. With latest average bet around $10.95, improving bet/session frequency should create more sustainable turnover than pushing stake size. Prioritise onboarding, reactivation and repeat-play journeys for WGVND cohorts.
2. CNY – stop measuring success by active-player count alone. Introduce cohorts by merchant × turnover/player × average bet. Separate low-value acquisition from emerging VIP/high-value players. Commercial support should move toward sources that improve turnover/player, not merely registrations or actives.
3. USD – manage WGA130 as a key-account concentration. It represents nearly half of MTD USD turnover. Protect the relationship, but review its top-player concentration and profitability weekly. In parallel, grow WGASIA/WGA504/WGA3316 so the portfolio is less dependent on one merchant.
4. Merchant incentives – pay for quality, not volume only. Merchant scorecards should combine Turnover, active players, turnover/player, retention, GGR contribution and top-player concentration. A merchant generating many low-value actives should not receive the same commercial priority as one creating durable turnover.
5. Weekly operating review. For each market, track: Active Players → Bets/Player → Avg Bet → Turnover/Player → Turnover → GGR/Margin. This funnel shows exactly whether the constraint is acquisition, frequency, wallet depth or hold.
Market Growth Diagnostic · First 7D vs Latest 7D
| Market | Active Players | Turnover | Avg Bet | Bets / Player | Turnover / Player |
|---|---|---|---|---|---|
| VND2 | 19 → 3,711 +19,431.6% | $450.34 → $229,561 +50,874.9% | $9.58 → $10.95 +14.2% | 2.5 → 5.7 | $23.70 → $61.86 +161.0% |
| CNY | 28 → 4,582 +16,264.3% | $17,255 → $1,182,660 +6,754.2% | $51.05 → $22.80 -55.3% | 12.1 → 11.3 | $616.23 → $258.11 -58.1% |
| USD | 265 → 482 +81.9% | $1,491,332 → $3,075,794 +106.2% | $141.04 → $179.06 +27.0% | 39.9 → 35.6 | $5,628 → $6,381 +13.4% |
USD Merchant Drivers · 1–31 Aug 2026
| Merchant | Turnover | USD Share | Players | Turnover / Player | House GGR | Margin |
|---|---|---|---|---|---|---|
| WGA130 | $4,991,796 | 49.7% | 244 | $20,458 | $82,125 | 1.6% |
| WGASIA | $3,619,355 | 36.1% | 983 | $3,682 | $153,730 | 4.2% |
| WGA504 | $660,622 | 6.6% | 70 | $9,437 | $47,877 | 7.2% |
| WGA1635 | $295,594 | 2.9% | 119 | $2,484 | $7,195 | 2.4% |
| WGA3316 | $293,688 | 2.9% | 84 | $3,496 | $32,535 | 11.1% |
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