Bankroll Management Calculator
Calculate how long your bankroll will last, find optimal bet sizes, and understand the math behind proper bankroll management.
Inputs
Results
Recovery Calculator
Session Tracker
Why Bankroll Management Matters
The 1% Rule
Bet Sizing Is Everything
House Edge vs. Variance
Why Small Edges Compound
Expected Loss / Bet = Bet_Size × House_EdgeHours Until Ruin ≈ Bankroll / (Bet_Size × House_Edge × Rounds_Per_Hour)Session Std Dev = Bet_Size × √(Total_Bets)95% CI = Expected_Loss ± 1.96 × Session_Std_DevThe Complete Guide to Bankroll Management
Bankroll management is the single most important skill separating recreational gamblers from professionals. It does not matter how sharp your handicapping is or how well you read a poker table, without disciplined bankroll management, variance will eventually destroy your balance. This guide explains the core concepts behind the calculator above and gives you a framework for protecting your capital.
Risk of Ruin: The Number That Matters Most
Gambler's Ruin: Why Negative-Edge Bettors Always Go Broke
Why Bankroll Management Matters: Separating Variance from -EV
Unit Sizing: The 1-5% Rule
The Kelly Criterion Connection
Bankroll Requirements by Game Type
| Game Type | Recommended Bankroll | Typical Unit Size | Variance Level |
|---|---|---|---|
| Sports Betting | 50 - 100 units | 1 - 3% | Medium |
| Poker (Cash Games) | 20 - 30 buy-ins | 3 - 5% per session | High |
| Poker (Tournaments) | 100 - 200 buy-ins | 0.5 - 1% | Very High |
| Blackjack (Card Counting) | 200 - 500 units | 0.5 - 1% | High |
| Roulette (Bias Play) | 300 - 500 units | 0.2 - 0.5% | Very High |
These numbers assume a genuine positive edge. Without an edge, no bankroll is large enough. Use the drawdown calculator to model worst-case scenarios, and explore the staking plan calculator to compare flat, percentage, and Kelly staking strategies side by side.
Understanding Bankroll Management
What Is Bankroll Management and Why It Matters
Bankroll management is the discipline of allocating your gambling funds in a way that maximizes the probability of staying in action long enough for your edge (if you have one) to manifest, while minimizing the risk of ruin from unavoidable short-term variance. Even a player with a genuine mathematical edge can go broke if they bet too large a fraction of their bankroll on any single wager: a string of normal losses at an oversized stake can wipe you out before the long-run edge kicks in.
Conversely, betting too small reduces your growth rate dramatically. The goal of bankroll management is to find the optimal staking level that balances growth with survival. This is not a matter of opinion. It is a mathematical optimization problem with a provably correct solution in idealized conditions.
Proper bankroll management applies equally to casino play, sports betting, poker, and any game with measurable probabilities. The specific formulas differ by context, but the core principle is universal: size your bets in proportion to your bankroll and your edge.
The Kelly Criterion
The Kelly Criterion, developed by John Kelly Jr. at Bell Labs in 1956, is the mathematically optimal staking formula for maximizing the long-run growth rate of a bankroll. It tells you exactly what fraction of your bankroll to wager given your edge and the odds on offer.
Full Kelly maximizes long-run growth rate but produces dramatic swings. Most professional bettors use fractional Kelly, typically half Kelly or quarter Kelly, which reduces variance significantly while sacrificing only modest growth rate. A half Kelly strategy, for instance, reduces drawdowns by roughly 75% while achieving approximately 75% of the maximum growth rate.
A critical caveat: Kelly is only optimal when your estimated edge is accurate. Overestimating your win probability leads to overbetting, which dramatically increases ruin risk. In practice, you should apply Kelly to a conservatively estimated edge, not a best-case estimate.
Fixed Percentage Staking
Fixed percentage staking (betting a fixed percentage of your current bankroll on every bet) is simpler than Kelly and has significant practical advantages. It naturally scales bets down when you are losing (protecting from ruin) and scales them up when you are winning (accelerating growth). It never results in zero. You can always bet a percentage of what remains.
Common fixed percentage recommendations: 1-2% for conservative bankroll management, 2-5% for moderate, and anything above 5% starts to carry meaningful ruin risk at typical win rates. At 2% per bet, you would need to lose 50 consecutive bets to lose approximately 63% of your bankroll, an extremely unlikely event for a player with any positive edge.
Fixed percentage staking does not account for varying edge across different bets. You bet the same percentage whether the edge is 1% or 5%. Kelly accounts for this by varying the stake proportionally to the edge. For bettors who cannot reliably estimate their edge per bet, fixed percentage is the safer default.
Risk of Ruin and Bankroll Sizing
Risk of ruin (RoR) is the probability of losing your entire bankroll before reaching a profit target. It depends on three variables: your win rate (edge), your bet size relative to bankroll, and your target.
This relationship shows why bet sizing matters exponentially. Doubling your bet size does not double your ruin risk. It raises it to a much higher power. A player betting 2% of bankroll with a 2% edge has roughly 14% ruin risk; the same player betting 1% has only 1.8% ruin risk. Halving bet size reduces ruin risk by 87%.
For casino games with a house edge, ruin probability approaches 100% given enough time at any bet size. The question becomes: how large must the bankroll be relative to session bet size to have a reasonable probability of reaching a stop-win target before being ruined?
Variance, Standard Deviation, and Common Mistakes
Variance is the mathematical measure of how spread out your outcomes are around the expected value. High-variance games (slots, parlays, certain poker situations) produce results far from the theoretical average over any short sample. Standard deviation quantifies this spread: approximately 68% of results will fall within one standard deviation of the mean over a session.
The most common bankroll management mistakes are: (1) betting too large relative to bankroll, confusing short-term good luck with edge; (2) chasing losses by increasing bet size after losses, the exact opposite of sound management; (3) not accounting for variance when setting win/loss stop limits; (4) using the same staking plan regardless of game type without considering the variance profile of different games; (5) overestimating edge, which leads to overbetting even when using a "correct" formula.
Kelly Fraction = (bp − q) / bRoR = ((1 − edge) / (1 + edge))^(Bankroll / Bet Size)σ = S × √(N × p × (1−p))Protect Your Bankroll
GAMB·8 gives you automated bot strategies with built-in bankroll management, real-time session tracking, and configurable stop-losses, so you never bust from poor discipline again.
