CryptoNews Simulation Examines Eight Roulette Betting Systems Across 100,000 Sessions
Felix Butler · Oct 3, 2026
CryptoNews Simulation Examines Eight Roulette Betting Systems Across 100,000 Sessions
CryptoNews released findings from an extensive simulation that put eight common roulette betting systems through rigorous testing, each run across 100,000 individual sessions on a single-zero European wheel, and the results highlighted consistent average losses for every approach because the house edge stayed fixed near 2.7 percent regardless of strategy. The setup used a $500 bankroll with $5 base bets placed on red and capped sessions at 200 spins, which allowed direct comparison of how different progression methods performed against the unchanging probabilities built into the game.
Flat betting emerged with the smallest average loss at $27.32 per session since it wagered the lowest total amount overall, whereas the other systems that relied on increasing or decreasing stakes after wins or losses produced higher losses along with greater variance and more frequent instances of bankroll exhaustion in certain cases. The eight systems under review included Martingale, Fibonacci, Paroli, D’Alembert, Labouchere, 1-3-2-6, James Bond, and flat betting, each applied according to their standard rules across the identical parameters so that outcomes could be measured side by side.
Simulation Parameters and Execution
Researchers structured every session to begin with the same starting conditions, which meant a single-zero wheel, even-money bets on red, and the same bankroll limit, while the 100,000 repetitions per system generated a large enough sample to smooth out short-term fluctuations and reveal the long-term impact of the house edge. Data collected from these runs showed that progression systems often required larger total wagers during losing streaks, which accelerated the rate at which the bankroll declined even though the underlying probability of each individual spin remained constant at 18/37 for red.
Observers noted that the simulation software tracked every bet outcome, cumulative winnings or losses, and instances when the bankroll hit zero before the 200-spin limit, producing detailed statistics that could be aggregated across all sessions for each strategy. This approach made it possible to calculate average loss per session, frequency of complete bankroll depletion, and the range of outcomes that demonstrated higher variance when bet sizes changed according to progression rules.
Performance Across the Tested Systems
Flat betting recorded the lowest average loss because bet sizes stayed fixed at $5, which kept the total amount wagered per session smaller than any progression method and therefore limited exposure to the house edge over the course of up to 200 spins. In contrast, systems such as Martingale and Labouchere, which double or adjust stakes after losses, generated larger cumulative wagers during extended downswings and consequently produced greater average losses along with more sessions that ended in bankroll exhaustion.
The Fibonacci and D’Alembert systems followed more gradual adjustment patterns yet still resulted in higher average losses than flat betting because they increased exposure after losses, while Paroli and 1-3-2-6, which rely on positive progressions after wins, showed elevated variance without overcoming the fixed house edge. James Bond, a fixed-pattern strategy that spreads bets across multiple numbers in a single spin, also posted average losses higher than flat betting when measured across the full set of 100,000 sessions.
Statistics from the runs indicated that every system experienced negative expected value over the long term, a result consistent with the mathematical structure of European roulette where the single zero creates a 2.7 percent house advantage on even-money bets. Roulette chapter data confirm that no betting pattern alters this edge when the wheel and payout ratios remain unchanged.
Key Patterns in Losses and Variance
Average losses scaled with the total amount wagered during each session, which explains why flat betting produced the smallest deficit while aggressive progressions led to larger shortfalls even though the per-bet expectation stayed identical. Sessions that followed Martingale or Labouchere rules encountered more frequent bankroll wipeouts when losing streaks extended beyond the point where bet sizes could be doubled without exceeding the $500 limit, whereas flat betting maintained steadier though still negative results across the same spin counts.
Variance measurements revealed wider outcome spreads for progression systems because bet sizes fluctuated, creating the possibility of larger wins in short favorable runs yet also deeper losses when sequences turned against the player. The simulation captured these effects across 800,000 total sessions, providing a dataset large enough to separate random variation from the systematic impact of the house edge.
Conclusion
The CryptoNews simulation demonstrated that all eight tested roulette systems produced average losses over 100,000 sessions each, with the magnitude of those losses tied directly to total amounts wagered rather than any ability to overcome the fixed 2.7 percent house edge on a single-zero wheel. Flat betting recorded the smallest average deficit at $27.32 per session, while progression methods increased both losses and variance without changing the underlying probabilities that govern each spin outcome. These findings align with established mathematical expectations for roulette and illustrate how session results distribute when identical parameters are applied across a large number of repetitions.