DFS Variance Simulator
Monte Carlo simulation showing DFS bankroll trajectories over time. See probability of ruin, expected drawdowns, and confidence intervals for your contest mix.
What Monte Carlo Simulation Shows You
Monte Carlo simulation runs hundreds of possible futures for your DFS bankroll. Each path represents one possible timeline of wins and losses. The spread of paths shows the range of realistic outcomes. This is not a prediction but a probability distribution: it shows what could happen, how likely each outcome is, and how much variance you should expect.
How DFS Variance Differs by Contest Type
GPPs have approximately 4x the variance of cash games. This means a GPP-heavy player experiences longer losing streaks and bigger winning streaks. The simulator blends variance based on your contest mix to show realistic trajectories. A player running 80% GPPs will see dramatically wider outcome bands than a cash-game grinder.
Using the Simulator to Set Expectations
The most valuable insight is the 5th percentile outcome, which represents a realistic downside scenario. If your 5th percentile outcome after 100 nights shows a 50% drawdown, you need to be psychologically prepared for that possibility. Use this to size your bankroll and nightly spend appropriately.