Bankroll Simulator

Monte Carlo simulation: see how your edge plays out over thousands of bets. Visualize variance and risk of ruin.

Your starting capital
% of bankroll per bet
Your true win rate
e.g., -110, +150
Bets per simulation
Paths to simulate
% of bankroll = "ruined"
How bet size is calculated
Expected Value
Median Outcome
Risk of Ruin
Profitable Sims

📊 Outcome Distribution

Best (95th)
Good (75th)
Median (50th)
Poor (25th)
Worst (5th)

What This Simulator Shows

This Monte Carlo simulation runs your betting parameters thousands of times to show the range of possible outcomes. Even with a proven edge, short-term results vary wildly due to variance.

💡 Key Insight: Variance Is Real

A 55% win rate at -110 odds has +2.5% EV per bet. Over 500 bets, you expect to profit ~25% of your bankroll. But the simulation shows you might be up 80%... or down 20%. Both are possible even with an edge.

How to Use This Tool

  1. Enter your win probability — be honest. If you're betting -110 and winning 53%, enter 53%.
  2. Set your bet sizing — 1-2% of bankroll is conservative, 5%+ is aggressive.
  3. Run the simulation and look at the 5th percentile — can you survive that outcome?
  4. If risk of ruin is >5%, reduce bet sizing or increase bankroll.

Understanding the Results

📈 Expected Value vs Reality

EV is what happens in the infinite long run. In 500 bets, you're nowhere near infinity. The median outcome is usually close to EV, but individual paths can deviate wildly. This is why bankroll management matters more than picking winners.

🎯 Kelly Criterion Connection

The Kelly Criterion calculates optimal bet sizing. If Kelly says bet 5% but you're betting 10%, run this simulation to see your risk of ruin. Overbetting destroys bankrolls even with a proven edge.