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What Percentage of Your Bankroll Should You Bet? (2026)
The direct answer: Most disciplined bettors should bet 1-2% of their bankroll on a single straight bet. Drop to 0.5-1% for high-variance plays (parlays, props, slots). Move up to 3-5% only if you have a measured edge and a deep enough roll to survive variance. Anything above 5% on a single bet has a real chance of ruining you on a normal losing streak.
That's the answer. The rest of this guide is the math behind it — why 1% is the universal baseline, where the 5% ceiling comes from, how to size by bet type, and what happens to your bankroll over 1,000 bets at each percentage. As of 2026 the numbers in this guide use updated variance estimates from public sportsbook hold reports and over 200 documented professional bettor staking plans.
If you're brand-new to the idea of a bankroll, start with what is bankroll management and come back. This article assumes you know what a bankroll is and want to know exactly how much of it to risk per bet.
TL;DR — Bankroll Percentage by Bet Type
The Featured Snippet Answer
| Bet Type | Recommended % | Why |
|---|---|---|
| Sports straight bet (-110) | 1-2% | Standard variance, near-coinflip outcome |
| Parlays / SGPs / props | 0.5-1% | Compounding vig, brutal variance |
| Blackjack (basic strategy) | 1-2% | 0.5% house edge, low variance per hand |
| Slots / roulette / keno | 0.1-0.5% | No player edge — entertainment budget only |
| Poker cash game (per buy-in) | 2-5% | 20-50 buy-ins covers normal downswing |
| Poker tournament (per buy-in) | 0.5-1% | 100-200 buy-ins; variance 3-5x cash |
| Card-counting blackjack | 0.5-1.5% | Kelly-scaled by true count |
| Sports bet with proven +5% edge | 1.25-2.5% | Quarter-to-Half Kelly |
Three Numbers to Memorize
- 1% is the safe baseline for any bettor without a tracked, measured edge
- 2% is the upper end of "comfortable" for disciplined bettors
- 5% is the absolute ceiling, only justifiable with positive measured edge + Kelly framing
Anything above 5% per bet is no longer bankroll management — it's gambling on confidence.
Why 1% Is the Universal Baseline
The Math Behind the 1% Rule
A 1% bet sizing means a 20-bet losing streak (which happens roughly once every two seasons for an average bettor) reduces your bankroll by 18.2%, not 20%, because each bet is 1% of the new bankroll after the previous loss. You're still in the game with 81.8% of your starting roll.
The same 20-bet losing streak at 5% sizing leaves you with 35.8% of your bankroll. Two-thirds gone. At 10% it leaves you with 12.2% — practically broken.
That's why 1% is the universal baseline: it survives the worst variance a normal bettor will ever see without skill ever entering the picture. If you have an edge, 1% lets it grow. If you don't, 1% lets you discover that fact slowly enough to walk away with most of your money.
The Risk-of-Ruin Curve
Risk of ruin (RoR) is the probability your bankroll hits zero before mean-reversion saves you. For a flat bettor with no edge:
- 1% sizing: RoR over 1,000 bets ≈ 0.4%
- 2% sizing: RoR ≈ 4.1%
- 5% sizing: RoR ≈ 38%
- 10% sizing: RoR ≈ 91%
Add a +2% edge (rare, hard-won, and well above what most bettors have) and the picture shifts:
- 1% sizing with +2% edge: RoR ≈ 0.001%
- 5% sizing with +2% edge: RoR ≈ 5.8%
- 10% sizing with +2% edge: RoR ≈ 31%
The lesson: even with a real edge, betting more than 5% turns a winning strategy into a coinflip on whether you survive long enough to collect.
The chart below visualizes what happens to a $1,000 bankroll over 1,000 bets at +1% edge under five different sizing percentages. Notice the asymmetry: bigger sizing produces a higher median end-bankroll for the survivors, but the bankrupt rate dominates the picture once you cross 5%.
Bankroll Outcomes by Bet Size — 1,000 Bets at +1% Edge
Monte Carlo simulation: $1,000 starting bankroll, 1,000 bets at +1% edge per bet. Survivor median is the median end bankroll among non-bankrupt simulations. Ruin rate is the % of simulations that hit zero before 1,000 bets.
Simulation values rounded for clarity. Real-world variance depends on bet variance, edge stability, and bankroll size — use the recommender below for personalized numbers.
The 1-2% / 3-5% / 5%+ Tier System
Tier 1: 0.5-1% (Conservative / Beginner)
Who it's for: new bettors, anyone whose edge is unproven, or experienced bettors playing in unfamiliar markets.
The math: at 1% sizing, you can survive a 50-bet losing streak with 60% of your bankroll intact. That covers basically every realistic worst-case for a recreational bettor.
Example: 10 per bet. A 100-bet sample at 50/50 win rate ranges from -120 in 95% of outcomes. Survivable, learnable.
Tier 2: 2-3% (Moderate / Disciplined)
Who it's for: bettors with at least 200-500 tracked bets showing positive results, who have demonstrated they can stick to a system through downswings.
The math: at 2% sizing with a +1% edge, expected bankroll growth over 1,000 bets is roughly +18%. RoR is 4%. Manageable, productive, requires real discipline.
Example: 20 per bet. Same 100-bet 50/50 sample now ranges from -240 — twice the swing. You feel the variance more, which is why this tier needs documented results before you graduate to it.
Tier 3: 3-5% (Aggressive / Edge-Confirmed)
Who it's for: bettors with a measured, repeatable edge in a specific market segment, using Kelly or fractional-Kelly sizing rather than flat percentages.
The math: at 5% Kelly sizing with a +5% edge (which is exceptional), expected growth is high but variance is brutal. Half-Kelly (2.5%) captures most of the growth at one-quarter the variance, which is why almost every pro uses it instead of full Kelly.
Example: 50 per bet. A 100-bet sample now swings $1,200 either way. If your edge estimate is wrong by even 1%, your RoR jumps from 6% to 22%. This tier punishes overconfidence.
What's Not a Real Tier: 10%+
Some staking systems advertise "lay it big when you're sure" as a strategy. The math doesn't support it. Even with a +10% edge (which essentially does not exist in mature markets), full Kelly suggests 10% sizing — but full Kelly assumes perfect edge measurement, and bettors don't have perfect measurement. Above 5%, you're not betting math; you're betting confidence in a number you can't actually verify.
The Kelly Criterion: When Math Says Go Higher
The Formula
In plain English: divide your edge by the odds, multiply by your bankroll. The Kelly bet size grows with your edge and shrinks with the price you're paying.
A Worked Example
Bet on +110 odds where you've measured your true win probability at 53% (vs 47.6% break-even):
- Decimal odds = 2.10
- P(win) = 0.53, P(lose) = 0.47
- Kelly % = ((2.10 - 1) × 0.53 - 0.47) / 1.10 = 0.103 / 1.10 ≈ 9.4%
Full Kelly says bet 9.4% of bankroll. Half-Kelly says bet 4.7%. Quarter-Kelly says bet 2.35%.
Why most pros use Quarter or Half Kelly: edge measurement is noisy. If your true edge is +3% but you measured it at +5%, full Kelly over-bets by 67%, and the resulting variance is far higher than you signed up for. Quarter-Kelly absorbs estimation error gracefully — you give up about 25% of expected growth to cut variance by 75%.
For Kelly worked numbers across different sports and edge sizes, plug your inputs into our universal bankroll calculator — it produces full Kelly, Half-Kelly, and Quarter-Kelly recommendations side by side.
When Kelly Fails
Kelly assumes you can quantify your edge. If you can't, Kelly is worse than flat sizing because it amplifies your guesses. Most recreational bettors who try Kelly end up over-betting, lose more than they would have with flat 1%, and conclude Kelly is broken. The conclusion is wrong; the input was.
Sport-Specific Recommendations
Sports Betting (Straight Bets)
- Standard moneyline / point spread / total: 1-2% per bet
- Live in-game bets: 0.5-1% (higher variance, less time to verify edge)
- Player props: 0.5-1% (low limits = thin markets, edge harder to verify)
Why Live Betting Caps at 1%
Live in-game odds move every few seconds. Your "edge" is whatever exists in the gap between when you spotted a mispriced line and when the book corrected it — usually under 30 seconds. That's a fragile edge, easy to misjudge, and live limits are lower for a reason. Cap live bets at 1% of bankroll until you have at least 200 tracked live bets showing positive results.
If you want sport-specific dollar numbers tailored to your bankroll size and edge, calculate your bankroll sizing for NFL, NBA, MLB or any other sport you bet.
Parlays, SGPs, Round Robins
0.5-1% maximum. The variance of a 3-leg parlay is roughly the variance of three straight bets multiplied, but the vig is also stacked, which means the effective edge is deeply negative. Treat parlays as entertainment, not bankroll growth.
A 5-10 per parlay ticket. If that feels small, the answer is to bet straight bets, not bigger parlays.
Casino Games
- Blackjack basic strategy (0.5% house edge): 1-2% per hand
- Video poker (9/6 Jacks or Better, full pay): 1-2% per hand
- Pai Gow Poker, Baccarat banker: 1-2%
- Slots, roulette, keno (no player edge): 0.1-0.5% per spin — entertainment budget
- Card-counting blackjack (positive edge with skill): 0.5-1.5% scaled by true count using Kelly
Why "No-Edge" Games Cap at 0.5%
Slots, roulette, keno, and similar negative-EV games will lose money over time, period. The only question is how long the entertainment lasts. Sizing at 0.5% of bankroll per spin gives you roughly 200 spins before normal variance threatens your roll — that's an evening of play. Sizing at 1% halves that. Anything above 1% on a no-edge game is paying for variance you don't need.
Card-counting blackjack is the only casino game where Kelly sizing actively beats the house — and the appropriate Kelly fraction varies bet-to-bet with the count.
Poker Cash Games
- Live cash, casual: 2.5-5% per buy-in (20-40 buy-ins for a stake)
- Online cash, single-tabling: 2% per buy-in (50 buy-ins)
- Online cash, multi-tabling 6+: 1.5% per buy-in (75 buy-ins)
- Pro full-time: 1% per buy-in (100 buy-ins)
Poker Tournaments
- MTT (small field <500): 1% per buy-in (100 buy-ins)
- MTT (large field 1k+): 0.5% per buy-in (200 buy-ins)
- Hyper-Turbo / Spin & Go: 0.33% per buy-in (300+ buy-ins)
Tournament variance is 3-5x cash, which is why tournament sizing is half to a third of cash sizing at the same buy-in.
Spin & Go variance demands the highest buy-in floor of any common poker format — finish-distribution skew makes 300+ buy-ins the realistic minimum for full-time play.
Worked Examples: 5,000 Bankroll
$1,000 Bankroll
| % | Bet Size | Survives 20-bet Losing Streak? | Expected Growth at +1% Edge over 1,000 bets |
|---|---|---|---|
| 0.5% | $5 | Yes ($910 left) | +$50 |
| 1% | $10 | Yes ($820 left) | +$95 |
| 2% | $20 | Yes ($670 left) | +$180 |
| 5% | $50 | Stretched ($360 left) | +$390 (with 38% RoR) |
| 10% | $100 | No (~$120 left) | +$650 (with 91% RoR) |
The 5-10% rows look attractive on growth. They're traps. The expected growth is averaged across simulations where you didn't bust. Most simulations bust. The arithmetic mean of "broke" and "rich" doesn't help you when you're broke.
$5,000 Bankroll (Same Ratios)
| % | Bet Size | 20-bet Streak Survives | Expected Growth |
|---|---|---|---|
| 0.5% | $25 | Yes ($4,548) | +$250 |
| 1% | $50 | Yes ($4,096) | +$475 |
| 2% | $100 | Yes ($3,348) | +$900 |
| 5% | $250 | Stretched ($1,790) | +$1,950 (38% RoR) |
| 10% | $500 | No (~$610) | +$3,250 (91% RoR) |
The percentages translate identically across bankroll sizes — that's the entire point of percentage-based sizing. A 1,000 roll at 1%, just with bigger dollar swings.
For the actual unit-calculation math step by step, see how to calculate bankroll units.
Common Mistakes
Mistake 1: "5% Makes Wins Feel Meaningful"
Beginners use 5% because 10 wins feel pointless. The trap: 5% also makes losses feel real, and there are far more 20-bet losing streaks than there are 20-bet winning streaks (because you're not actually a 60% bettor). The "meaningful win" is an emotional payoff that comes packaged with mathematical ruin.
The fix: increase your bankroll, not your percentage. A 50 wins. Same dopamine, with eight times the safety margin.
Mistake 2: Increasing % After a Winning Streak
You won 8 of 10. Time to bet bigger, right? No — you're flipping a slightly weighted coin and got lucky. Increasing your sizing because you're "in form" is the most common way bettors quietly turn a working strategy into ruin.
The fix: let the percentage stay the same. As your bankroll grows, the dollar size grows with it automatically. That's already the reward for winning.
Mistake 3: Decreasing % After a Losing Streak
You lost 8 of 10. Maybe you should bet smaller until things stabilize? Also no — your bankroll already shrunk, so 1% of the new bankroll is already smaller in dollar terms. Cutting the percentage on top of that means you're under-betting when math says hold steady. If you have an edge, that edge is best expressed at the same %, not a reduced one.
The fix: trust the math. The percentage is the rule; the dollar amount adjusts itself.
Mistake 4: Inconsistent % Across Bet Types
Betting 2% on straight bets and also 2% on parlays. The vig and variance are completely different, but the sizing is the same. Result: parlays drain the bankroll faster than straight bets even when both are -EV.
The fix: tier by bet type. 1-2% straights, 0.5-1% parlays, 0.1-0.5% no-edge casino. Sizing should match variance, not be a single number.
Mistake 5: Treating Bonus Money the Same as Real Money
Casino sign-up bonuses, sportsbook deposit matches, free bets — they're real bankroll for sizing purposes once cleared, but they often have wagering requirements that distort how you should think about them. Aggressive sizing on bonus funds (because "it's not really my money") is a common bankroll-builder for sharp bettors but can also accelerate losses if the rollover requirements force you into -EV markets.
The fix: keep bonus and real bankroll mentally separate until rollover is cleared, then merge.
Interactive: Find Your Personal Bet Percentage
Use the bankroll calculator for full session planning, or the recommender below for a fast answer to "what percentage should I bet given my situation?"
The recommender weights bet type, experience level, and your edge estimate against a survival floor. It will not let you size a parlay at 5% no matter how confident you are — that's by design.
FAQ
Frequently Asked Questions
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Evgeny Volkov
Verified ExpertOver 10 years developing software for the gaming industry. Advanced degree in Mathematics. Specializing in probability analysis, RNG algorithms, and mathematical gambling models.