Aviator Bankroll & EV Calculator

TL;DR: This calculator uses the exact Aviator probability formula P(m) = 0.97/m to compute your expected outcomes. Enter your bankroll, bet size, and target multiplier to see expected rounds until bust, probability of profit, and EV per bet. No guesswork — pure math.

Unlike "strategy" tools that promise an edge, this calculator shows you the cold mathematical reality of the Aviator game. Every number below is derived from the Provably Fair probability distribution. The house edge is 3% regardless of your strategy — this tool helps you understand how long your bankroll will last and what to expect.

Bankroll & Expected Value Calculator

Session Bankroll ($)

Total money for this session

Bet Size ($)

Amount per individual bet

Target Multiplier (x)

Auto-cashout multiplier

Results

Win Probability

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EV per Bet

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Expected Rounds

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Expected Loss

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Probability Table at Your Bet Size

Target	Win %	Profit/Win	EV/Bet	Expected Rounds

Monte Carlo Simulation (1,000 sessions)

Sessions in Profit

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Median Final Bankroll

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Bust Rate (100 rounds)

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Remember: The EV per bet is always −$0.03 per $1 wagered regardless of target multiplier. This calculator confirms that no strategy changes the house edge — it only shows how variance affects your session experience. See our strategy analysis for detailed breakdowns.

JavaScript required. This calculator needs JavaScript to run. The core formula is: Win Probability = 0.97 / target_multiplier. EV per $1 bet = -$0.03 (always, regardless of multiplier).

How Is This Calculated?

Every number in this calculator is derived from one formula: P(reaching multiplier m) = 0.97 / m. This is the exact probability distribution built into Aviator's Provably Fair algorithm with a 3% house edge. For any target multiplier:

Win probability = 0.97 / m (e.g., at 2.0x: 0.97/2.0 = 48.5%)
Profit per win = bet × (m − 1) (e.g., $1 bet at 2.0x: $1.00 profit)
Expected value per bet = P(win) × profit − P(loss) × bet = always −3% of bet
Expected rounds = bankroll / (bet × 0.03) — simplified estimate based on average loss rate

The Monte Carlo simulation runs 1,000 independent sessions of 100 rounds each with your parameters, using cryptographically-random crash points following the P(m) = 0.97/m distribution. This gives realistic variance estimates beyond simple EV calculations.

For the full mathematical derivation, see our Provably Fair technical guide. For strategy recommendations based on these numbers, see strategy analysis.