
By Tinsley Brooks, reporting on research funded by Moonbet
What the Study Did?
Moonbet commissioned an independent six-month analysis of cryptocurrency gambling behaviors, tracking 10,357 players across eight popular decentralized gambling applications. The study focused on the top 5% most heavily involved bettors, who collectively wagered approximately $2.2 million during the observation period.
Researchers collected granular transaction-level data, capturing every bet placed, amount wagered, session frequency, duration, and timing. Aggregated cumulative wagering patterns helped identify high-risk behaviors, including extreme involvement, concentrated sessions, and exposure to financial harm.
Key behavioral metrics included:
- Total bets placed and total amount wagered per user
- Average bet size per session
- Session frequency and duration
- Timing of bets, including late-night activity
- Net losses and percentage loss relative to total wagered
Comparisons between the top 5% and the remaining 95% highlighted whether a small subset accounted for disproportionate wagering volume, revealed potential financial risks, and assessed how real-time monitoring could help reduce harm.
Key Findings of the Study
The top 5% of players accounted for the majority of wagering activity, collectively cycling $2.2M through the platforms. Although median percentage losses appeared modest, the absolute losses were substantial, demonstrating significant financial exposure.
| Measure | Top 5% (n=518) | Remaining 95% (n=9,839) |
| Median Total Wagered | $2,200,000 | $1,100 |
| Median Bet Size | $1,840 | $110 |
| Median Number of Bets | 644 | 9 |
| Median Duration (days) | 35 | 1 |
| Median Percentage Loss | 5% | 6.6% |
A 5% loss on $2.2M translated to $110,000, dwarfing the $55 typical for smaller players. High-volume betting posed serious financial risks even when relative losses seemed modest.
| Player Type | Total Wagered | Loss Rate | Absolute Loss |
| Top 5% Player | $2,200,000 | 5% | $110,000 |
| Median Player | $1,100 | 5% | $55 |
Behavioral Patterns & Predictors of High-Risk Play
Analysis revealed that high-volume players exhibited distinct patterns compared with the broader population, indicating heightened risk:
| Measure | Top 5% Players | Remaining 95% | Difference |
| Average Bets per Day | 18 | 2 | +800% |
| Average Bet Size ($) | 1,840 | 110 | +1,573% |
| Sessions per Month | 45 | 12 | +275% |
| Late-Night Bets (11 pm–5 am) | 38% | 9% | +322% |
| In-Play Bets (% of Total) | 62% | 41% | +51% |
Major insights:
- High session frequency: Multiple bets per day amplified cumulative exposure.
- Large bet sizes: Averaging nearly $2,000 per bet, losses could escalate rapidly.
- Late-night activity: Impaired decision-making increased risk during 11 pm–5 am sessions.
- In-play betting prevalence: Fast-paced live markets elevated exposure to losses.
Platform-Level Exposure Insights
A small subset of decentralized gambling applications accounts for a disproportionate share of wagering and potential exposure. Understanding these patterns can help operators and regulators focus monitoring and intervention efforts where they are most needed.
| Platform Type | Total Wagered (Top 5%) | % of Cohort Activity | Median Bet Size | Sessions per Month |
| Peer-to-Peer Betting Markets | $820,000 | 37% | $2,150 | 48 |
| Sports & Esports Betting DApps | $610,000 | 28% | $1,900 | 42 |
| NFT & Token-Based Lottery DApps | $410,000 | 19% | $1,600 | 39 |
| Other Smaller Platforms | $260,000 | 12% | $1,450 | 36 |
| On-Chain Casino Games (Moonbet) | $100,000 | 4% | $1,200 | 30 |
Major Insights:
- Concentration of risk: Peer-to-peer betting and sports/esports DApps account for the majority of top-tier wagers, highlighting structural exposure points.
- High stakes on high-frequency platforms: Platforms with larger median bet sizes and more frequent sessions pose the most significant potential for cumulative financial harm.
- On-chain games as a relatively safer option: On-chain casino games exhibit the lowest top-5% activity, illustrating lower structural exposure.
- Targeted monitoring opportunities: Operators can deploy targeted mitigation strategies on high-exposure platforms while leveraging safer platform design principles (such as Moonbet’s) to reduce overall risk.
Why High-Risk Behavior Emerges?
Behavioral patterns among the top 5% increase financial exposure and potential harm. High-frequency betting and large stakes amplify risk, even if individual bets lose only a small percentage.
| Behavioral Metric | Top 5% Median | Top 5% IQR | Implication |
| Bets per Day | 68 | 77 | High-intensity sessions increase exposure |
| Total Monthly Handle | $2,200,000 | $1,759,000 | Massive volume magnifies losses |
| Average Bet Size | $1,840 | $5,610 | Large stakes heighten single-session risk |
| Late-Night Bets (11 pm–5 am) | 34% | — | Impulsive behavior is more likely |
| In-Play Bets (% of Total) | 67% | — | Rapid losses during micro-event betting |
Insights include:
- High-volume, low-loss paradox: Even small percentage losses translate to significant absolute losses.
- Late-night & in-play activity: Increases chasing behaviors and escalates stakes. (PMC)
- Behavioral clustering: Top players exhibit rapid, high-frequency betting, allowing targeted interventions.
How Moonbet Plans to Reduce Risk for High-Volume Players?
As the study shows, risk for high-volume players is driven less by percentage losses and more by sustained exposure and cumulative handle. Moonbet focuses on reducing that structural risk by improving transparency, lowering effective house edge, and giving players clearer visibility into outcomes.
- Effective RTP Boost Through Rewards Structure: Moonbet applies a 0.3% house edge return on all bets plus 0.2% monthly rewards, compounding a player’s effective RTP across every game. This pushes many games toward ~99–100% effective RTP (for example, blackjack approaching ~100%), reducing long-term mathematical disadvantage for high-volume play.
- Transparent, Third-Party-Audited Games: Partner games are independently audited by recognized testing agencies such as eCOGRA and Gaming Laboratories International, ensuring verified fairness. Transparent odds and verified RTP help players make informed decisions rather than betting in opaque environments.
- Fast Crypto Settlements With No Platform Fees: Immediate, low-friction withdrawals across 20+ cryptocurrencies reduce liquidity pressure and enable players to realize outcomes quickly, helping prevent prolonged exposure from delayed payouts.
- Privacy-First Web3 Wallet Connection: Direct wallet connectivity enables secure, user-controlled fund management, encouraging players to maintain clearer oversight of balances and transfers during high-intensity sessions.
TL;DR on Managing Risk in High-Stakes Crypto Gambling
The top 5% of crypto gamblers accounted for $2.2M in wagers, creating significant exposure despite modest percentage losses. However, transparent RTP, real-time session tracking, smart contract limits, and educational tools help players monitor risk, make informed decisions, and promote responsible gambling and sustainable engagement without restricting gameplay.
References / Inspired By:
- Inside the decentralised casino: A longitudinal study of actual cryptocurrency gambling transactions.
Disclosure: This research was funded by Moonbet. Study design, data collection, and analysis were conducted independently. Moonbet provided funding and access to its platform but did not influence the findings. All statistical methods, behavioral measures, and risk definitions follow established standards in gambling research. Peer-reviewed and publicly available sources supporting the study’s context are cited throughout.