Finding value bets is only half the battle. Once you have identified an edge, you need to decide how much to stake. Bet too little and you leave money on the table. Bet too much and a losing streak can wipe out your bankroll. The Kelly Criterion calculator solves this problem by telling you the mathematically optimal stake size based on your edge and bankroll.
This page gives you a free Kelly Criterion calculator designed specifically for sports betting. You will also learn why most experienced bettors use fractional Kelly (Half or Quarter Kelly) rather than the full formula, how to estimate your win probability, and how to avoid the common mistakes that cause even sharp bettors to over-stake. Explore our full suite of betting calculators to find other tools that complement your Kelly staking strategy.
Use the Kelly calculator below to get started. Enter your bankroll, the odds you are getting, and your estimated win probability. The calculator defaults to Quarter Kelly because it offers a safer path to long-term growth while protecting you from the variance that comes with imperfect probability estimates.
The Kelly Criterion calculator helps you determine the optimal percentage of your bankroll to wager on a single bet. Unlike flat betting where you stake the same amount regardless of edge size, Kelly adjusts your stake based on how much of an advantage you believe you have.
Before using the calculator, you need three pieces of information:
The calculator returns three outputs:
Why Quarter Kelly is the default: The full Kelly formula assumes your probability estimate is perfect. In reality, even the best handicappers have margin of error in their predictions. Quarter Kelly protects you from overconfidence and reduces the emotional pain of drawdowns. If your edge is real, you will still grow your bankroll over time. If your edge is smaller than you thought, Quarter Kelly prevents catastrophic losses.
Remember that sports betting involves risk and no calculator can guarantee profits. The Kelly Criterion is an educational tool that helps you think about bet sizing in a disciplined way. Always bet only what you can afford to lose.
The Kelly Criterion is a formula developed by John Kelly at Bell Labs in 1956. Originally designed for optimizing signal noise in telephone lines, gamblers and investors quickly realized it could be applied to any situation where you are making repeated bets with an edge.
In plain English, the Kelly Criterion tells you what percentage of your bankroll to bet so that you maximize the long-term growth rate of your money. It balances two competing goals: betting enough to take advantage of your edge, while not betting so much that a string of losses devastates your bankroll.
The formula in its simplest form is:
Kelly Percentage = (bp - q) / b
Where:
| Variable | Definition | Example |
|---|---|---|
| b | Net profit per unit wagered (decimal odds - 1) | At -110 odds: b = 0.909 |
| p | Your estimated probability of winning | You estimate 55% chance: p = 0.55 |
| q | Your probability of losing (1 - p) | q = 1 - 0.55 = 0.45 |
| Kelly % | Optimal percentage of bankroll to wager | (0.909 x 0.55 - 0.45) / 0.909 = 5.5% |
Understanding the output: The Kelly Criterion returns a percentage of your bankroll. If the formula gives you 5%, and your bankroll is 1000 dollars, your optimal stake is 50 dollars. If the formula returns a negative number, it means you have no edge and should not place the bet.
Negative Kelly values: When the calculator shows a negative Kelly percentage, the odds are not in your favor. This happens when your estimated win probability is lower than the break-even probability implied by the odds. In these situations, the correct stake is zero. A disciplined bettor passes on bets with negative expected value.
The Kelly Criterion is mathematically elegant but rests on a critical assumption: that your probability estimate is correct. In the real world of sports betting, your estimates contain error. The next sections explain why this matters and how to adjust your approach.
Let us walk through a concrete example using a standard NFL point spread. You are betting the Kansas City Chiefs -3.5 at -110 odds. After analyzing the matchup, you believe the Chiefs have a 55% chance of covering the spread.
Step 1: Identify the inputs
Step 2: Calculate Full Kelly
Kelly % = (0.909 x 0.55 - 0.45) / 0.909 = 5.5%
Full Kelly stake = 2000 x 0.055 = 110 dollars
Step 3: Apply fractional Kelly
| Kelly Fraction | Calculation | Stake |
|---|---|---|
| Full Kelly (100%) | 2000 x 5.5% | 110 dollars |
| Half Kelly (50%) | 2000 x 2.75% | 55 dollars |
| Quarter Kelly (25%) | 2000 x 1.375% | 27.50 dollars |
Why the difference matters: If your 55% estimate is actually closer to 53% (a common margin of error), Full Kelly would have you significantly over-betting. Quarter Kelly at 27.50 dollars gives you room for error while still capturing the positive expected value of the bet.
This example also shows why you need to understand expected value before using Kelly. If you cannot estimate your true win probability with some confidence, the Kelly output is meaningless. Learn more about identifying edges in our Expected Value betting guide.
Full Kelly is theoretically optimal for maximizing long-term bankroll growth, but it comes with a major practical problem: volatility. Even with a genuine edge, Full Kelly produces stomach-churning swings that most bettors cannot handle.
Consider this: Full Kelly is designed to maximize the logarithm of your wealth over time. This means it accepts a roughly 50% chance of losing half your bankroll at some point, and a meaningful chance of losing 90% or more during extended drawdowns. Most people would abandon their betting strategy long before realizing the long-term gains.
Why fractional Kelly is better for sports betting:
| Kelly Fraction | Growth Rate vs Full | Volatility vs Full | Best For |
|---|---|---|---|
| Full Kelly (100%) | 100% | 100% | Theoretical optimum (rarely used) |
| Half Kelly (50%) | 75% | 50% | High confidence in probability estimates |
| Quarter Kelly (25%) | 50% | 25% | General sports betting (recommended default) |
| Eighth Kelly (12.5%) | 25% | 12.5% | High-variance props and uncertain edges |
The key insight is that Half Kelly gives you 75% of the growth rate while cutting volatility in half. Quarter Kelly still captures meaningful growth while being much more forgiving of estimation errors.
The simple rule: The less confident you are in your probability estimate, the smaller your Kelly fraction should be. If you have a proven model with years of data, Half Kelly might be appropriate. If you are making subjective judgments about matchups, Quarter Kelly or less is wiser.
Professional bettors and hedge funds that use Kelly-type systems almost universally use fractional approaches. The mathematical elegance of Full Kelly matters less than the practical reality of surviving variance and staying in the game.
Choosing between Half and Quarter Kelly depends on several factors related to your confidence level, the market you are betting, and your personal risk tolerance.
Use Half Kelly when:
Use Quarter Kelly when:
Use Eighth Kelly or less when:
The transition between fractions should be gradual. Start with Quarter Kelly and move to Half Kelly only after demonstrating consistent accuracy over a meaningful sample. Most serious bettors find that Quarter Kelly provides the best balance between growth and emotional sustainability.
The Kelly Criterion is only as good as your probability input. Enter an accurate probability and you get a sensible stake size. Enter a probability that is off by a few percentage points and Kelly can have you severely over-betting or under-betting.
This is the critical gap that many Kelly explanations skip: before you can size your bets, you need to actually have an edge. And to know if you have an edge, you need to estimate win probability more accurately than the betting market.
Why probability estimation is hard:
The odds set by sportsbooks already reflect sophisticated probability assessments. The -110 line on a spread implies roughly 52.4% probability (after accounting for vig). To use Kelly profitably, you need to believe your estimate is better than the market's estimate, and you need to be right about that belief.
Three practical approaches to estimating win probability:
| Method | Description | Pros | Cons |
|---|---|---|---|
| Market-Based Estimate | Use sharp books or no-vig lines as your baseline, then adjust based on your analysis | Starts from an informed position; reduces overconfidence | Hard to beat efficient markets; requires access to sharp lines |
| Model-Based Estimate | Build a statistical model using historical data and relevant factors | Quantifiable and testable; can identify systematic edges | Time-intensive; requires data and technical skills |
| Line Shopping | Find odds significantly better than the market consensus | The edge is built into the better odds; less estimation required | Edges are small; requires multiple accounts |
The expected value connection: Win probability and expected value are two sides of the same coin. If you believe a bet has a 55% chance of winning at -110 odds, you are also saying the bet has positive expected value of approximately 5%. Our EV Calculator guide helps you visualize this relationship and find plus-EV bets before sizing them with Kelly.
Common probability estimation mistakes:
How small errors compound: Consider what happens when your probability estimate is off by just 3 percentage points. If you believe a bet has a 55% chance of winning but the true probability is 52%, your perceived 5% Kelly stake becomes severely over-sized. Over many bets, this error compounds. You are betting as if you have a meaningful edge when you actually have almost none after accounting for the vig. This is why fractional Kelly provides such important protection.
Building estimation skill over time: The best approach for most bettors is to start conservatively and track results meticulously. Record your estimated probability for every bet, then compare your predictions to actual outcomes over time. After several hundred bets, you can calculate whether your estimates are calibrated. If you estimated 55% winners actually win at 55%, your estimates are accurate. If they win at 50%, you are systematically overconfident and should adjust.
The honest truth is that most recreational bettors do not have reliable probability estimates. If you are not sure whether you can beat the market, you probably cannot. In that case, Kelly-based staking may give you false confidence in bets that do not actually have positive expected value.
Read our comprehensive Expected Value betting guide to develop a framework for identifying genuine edges before applying Kelly bet sizing.
Theory is useful, but seeing Kelly applied to real betting scenarios makes the concepts concrete. Here are worked examples across different market types, demonstrating how Kelly adapts to different odds and edges.
Example 1: NFL Spread at -110
You are betting Buffalo Bills +3 at -110 against the Kansas City Chiefs. After analyzing the matchup, you estimate Buffalo has a 54% chance of covering.
Kelly % = (0.909 x 0.54 - 0.46) / 0.909 = 3.4%
| Stake Type | Percentage | Dollar Amount |
|---|---|---|
| Full Kelly | 3.4% | 170 dollars |
| Half Kelly | 1.7% | 85 dollars |
| Quarter Kelly | 0.85% | 42.50 dollars |
Example 2: NBA Total at -110
You are betting Under 224.5 in an NBA game at -110. Your model projects a total of 220 points, giving you a 58% chance of the under hitting.
Kelly % = (0.909 x 0.58 - 0.42) / 0.909 = 11.8%
This is a large stake because the edge is significant. But notice the risk: if your model is wrong and the true probability is 53%, you would be massively over-betting. Quarter Kelly at 2.95% (147.50 dollars) provides protection.
Example 3: Underdog Moneyline at +140
You are betting the Detroit Lions moneyline at +140 as home underdogs. You estimate they have a 45% chance of winning outright.
Kelly % = (1.40 x 0.45 - 0.55) / 1.40 = 5.7%
| Stake Type | Percentage | Dollar Amount |
|---|---|---|
| Full Kelly | 5.7% | 285 dollars |
| Half Kelly | 2.85% | 142.50 dollars |
| Quarter Kelly | 1.43% | 71.50 dollars |
Example 4: Player Prop (High Variance)
You are betting Patrick Mahomes Over 285.5 passing yards at -115. You estimate a 57% chance based on matchup analysis.
Props deserve extra caution. They are higher variance than sides and totals, lines can be less efficient, and limits are often lower. For props, consider using Eighth Kelly rather than Quarter Kelly.
Kelly % = approximately 7.8% (Full) Eighth Kelly = approximately 1% = 50 dollars
This smaller stake accounts for the higher uncertainty in prop markets and protects your bankroll from the variance inherent in these bets.
Key Patterns Across These Examples
Looking at these four examples together reveals important patterns for applying Kelly in practice:
Edge size determines stake size: The NFL spread example with a 1.6% edge produces a much smaller Kelly stake than the NBA total with a 5.6% edge. This is exactly how Kelly should work. You bet more when you have more confidence in a larger edge, and less when edges are thin. However, thin edges are also where estimation errors hurt most, so fractional Kelly becomes even more important.
Odds format affects the calculation: Notice how the underdog moneyline at +140 produces a larger Kelly percentage than the spread at -110 for a similar edge. This is because the potential payout is higher on plus-money bets. Kelly accounts for this automatically, but you should understand why your stake sizes vary across different odds.
Market type influences your Kelly fraction: The progression from sides to totals to props generally means moving from Half Kelly toward Eighth Kelly. This reflects increasing uncertainty in your probability estimates and higher variance in outcomes. Spreads and totals in major sports are the most efficient markets with the most reliable probability estimates. Player props involve more variables and less liquid markets, warranting extra caution.
Always verify your edge makes sense: Before placing any Kelly-sized bet, ask yourself whether your edge is realistic. A 5% edge on a major NFL spread is rare. A 10% edge is almost certainly an estimation error on your part. If Kelly suggests a stake that feels too large, your probability estimate is probably too confident. Trust the feeling and reduce your fraction.
Seasonal and situational adjustments: Your Kelly fraction might change throughout a season. Early in the year when team compositions are uncertain, use smaller fractions. Later in the season when you have more data, you might move toward larger fractions if your model has proven accurate. Similarly, playoff games often have more public money and sharper lines, potentially reducing your edge even if your analysis is sound.
Many bettors track their wagers in units rather than dollars. A unit is simply a standardized bet size, typically representing 1% of your bankroll. Using units makes it easier to compare performance across different bankroll sizes and time periods.
Kelly outputs a percentage of bankroll, which translates directly into a units framework. However, most bettors use flat units (1 unit per bet) while Kelly suggests variable sizing based on edge. You can get the benefits of both by using Kelly to determine when to bet more or fewer units.
Basic conversion:
If your standard unit is 1% of bankroll (100 dollars on a 10000 dollar bankroll), then:
| Quarter Kelly Output | Units (if 1 unit = 1%) | Recommended Stake |
|---|---|---|
| 0.5% or less | 0.5 units | Half unit (minimum threshold bet) |
| 0.5% to 1.5% | 0.5 to 1.5 units | 1 unit (standard bet) |
| 1.5% to 2.5% | 1.5 to 2.5 units | 2 units (confident bet) |
| 2.5% to 4% | 2.5 to 4 units | 3 units (high confidence) |
| Above 4% | Above 4 units | Cap at 3-4 units (verify edge) |
Why cap your maximum stake: Kelly can suggest very large bets when you have a large perceived edge. A 10% Kelly stake might seem reasonable if you truly have a 10% edge, but such edges are rare in sports betting. Capping your maximum at 3-4 units protects you from overconfidence and ensures that no single bet can devastate your bankroll. Even professional bettors with proven track records rarely stake more than 3% of their bankroll on a single wager. If your Kelly calculation suggests more than 4 units, treat it as a red flag that your probability estimate may be too aggressive.
Recalculating your unit size: As your bankroll grows or shrinks, your unit size should adjust. Many bettors recalculate their unit size weekly or monthly based on their current bankroll. This ensures you are always betting an appropriate percentage rather than a fixed dollar amount. Some bettors only recalculate after significant changes, such as a 20% increase or decrease in bankroll. Others update their unit size after every session. Find a rhythm that works for you, but avoid adjusting so frequently that you are chasing short-term results.
The units approach combined with Kelly thinking gives you the best of both worlds: consistent tracking and performance measurement, plus intelligent adjustment based on edge size. For more on unit-based betting systems, see our guide on betting units explained. For a complete framework on protecting and growing your betting bankroll over time, read our bankroll management guide.
Should you use Kelly or stick with flat betting where every wager is the same size? Both approaches have merit, and the right choice depends on your confidence in your edge estimates and your tolerance for variance.
Flat betting advantages:
Kelly betting advantages:
| Factor | Flat Betting | Kelly Betting |
|---|---|---|
| Ease of use | Very easy | Requires probability estimates |
| Growth potential | Moderate | Higher (with accurate estimates) |
| Drawdown risk | Predictable | Variable (lower with fractional Kelly) |
| Psychological difficulty | Low | Higher (variable stake sizes) |
| Best for | Most recreational bettors | Serious bettors with proven models |
When NOT to use Kelly:
The hybrid approach: Many successful bettors use a middle ground. They use flat units for most bets and increase to 2-3 units only when they have high confidence in their edge. This captures some of the Kelly upside while maintaining the psychological benefits of mostly-consistent sizing.
Progression matters: If you are new to sports betting, starting with flat betting makes sense. You can focus on developing your handicapping skills without adding the complexity of variable stake sizing. Once you have a track record of several hundred bets and can demonstrate that your probability estimates are reasonably accurate, you can introduce Kelly concepts gradually. Start with a very conservative fraction like Eighth Kelly to see how it feels before moving to Quarter Kelly.
The psychological factor: Do not underestimate the mental component. Losing a large Kelly-sized bet can shake your confidence far more than losing several smaller flat bets that add up to the same amount. If you find yourself second-guessing your stakes or avoiding bets because the Kelly stake feels too large, you are better off with flat betting until your confidence and track record improve.
The bottom line: Kelly is a tool for bettors who have genuine, measurable edges and the discipline to estimate probabilities honestly. For everyone else, flat betting with good game selection is likely to produce better long-term results.
The Kelly Criterion assumes each bet is independent. In sports betting, this assumption often breaks down. Multiple bets on the same game, same player, or same narrative can create correlated risk that Kelly does not account for.
Why correlation matters:
If you bet the Chiefs spread and the Chiefs team total over in the same game, both bets share common risk factors. If the Chiefs offense struggles, both bets lose together. Kelly treats each bet independently, so it would size both as if they had no relationship. This can lead to significant overexposure.
Common correlation traps:
Exposure caps for safety:
To manage correlation, experienced bettors use exposure caps that limit total risk regardless of what Kelly suggests.
Practical rules for correlated bets:
Parlays and Kelly: Traditional Kelly assumes single bets, not parlays. For parlays, you need to estimate the probability of the entire parlay hitting, which requires accurate assessment of correlation between legs. Most bettors should avoid applying Kelly to parlays and instead use minimal stakes for these higher-risk wagers.
The goal is to survive long enough to realize your edge. Correlation creates hidden risk that can blow up your bankroll even when individual bets seem reasonable. When in doubt, reduce stakes and cap exposure.
Building a Kelly calculator in Excel or Google Sheets gives you full control over inputs and allows for customization. Here is how to set up a basic Kelly template.
Step 1: Set up your inputs
Create cells for:
Step 2: Convert American odds to decimal
In Cell B5, use this formula to convert American odds to decimal:
For positive odds: =(B2/100)+1 For negative odds: =(-100/B2)+1
Or use a combined formula: =IF(B2>0,(B2/100)+1,(-100/B2)+1)
Step 3: Calculate the b value
In Cell B6: =B5-1
This gives you the net profit per unit wagered.
Step 4: Calculate Full Kelly percentage
In Cell B7: =((B6*B3)-(1-B3))/B6
This returns the Kelly percentage. If negative, you have no edge.
Step 5: Calculate your stake
In Cell B8: =MAX(0,B7B4B1)
This multiplies Full Kelly by your fraction and bankroll, and ensures the result is not negative.
Common Excel errors to avoid:
Extending the template:
Once you have the basic formula working, you can add:
Advantages of a DIY spreadsheet: Building your own Kelly calculator forces you to understand the math behind the formula. When you construct the formulas yourself, you develop intuition for how changes in probability and odds affect your stake sizes. This understanding is valuable even if you later switch to using an online calculator.
For a more streamlined experience, use our Kelly Criterion calculator which handles all conversions automatically and provides Half and Quarter Kelly outputs.
The Kelly Criterion formula is: Kelly Percentage = (bp - q) / b, where b equals the decimal odds minus 1, p equals your win probability, and q equals your loss probability (1 - p). For example, at -110 odds with a 55% estimated win probability, b = 0.909, p = 0.55, and q = 0.45. The calculation gives (0.909 x 0.55 - 0.45) / 0.909 = 5.5% of bankroll. Most bettors use a fraction of this amount for safer staking.
The Kelly Criterion works mathematically when two conditions are met: you have a genuine edge, and your probability estimates are accurate. It has been proven to maximize long-term bankroll growth. However, it requires you to actually have an edge over the betting market and to estimate that edge correctly. Many bettors fail at one or both of these requirements. Additionally, Full Kelly produces extreme volatility, which is why most practitioners use fractional Kelly (typically Quarter Kelly) to reduce risk.
Kelly Criterion is risky because it assumes perfect probability estimates, which are impossible in practice. Small errors in your win probability estimate can lead to significant over-betting. Full Kelly also has high variance, with a roughly 50% chance of experiencing a 50% drawdown at some point. The formula does not account for correlated bets, and using Kelly on multiple related positions can compound risk. These issues are why experienced bettors use fractional Kelly, typically staking only 25% of what the full formula suggests.
In theory, pure Kelly betting cannot reduce your bankroll to exactly zero because you always bet a percentage rather than a fixed amount. However, you can effectively go broke by losing so much that you can no longer place meaningful bets. If your probability estimates are wrong and you are betting without an edge, Kelly will still lose money over time. Over-aggressive Kelly fractions, betting on correlated positions, and using Kelly on negative expected value bets can all lead to catastrophic losses. Fractional Kelly and exposure caps provide important protection.
Fractional Kelly means betting a fraction of the full Kelly stake, such as half (50%), quarter (25%), or eighth (12.5%). This reduces both potential growth and volatility. For most sports bettors, Quarter Kelly is recommended as it provides meaningful growth while protecting against estimation errors. Use Half Kelly only if you have a proven model with a long track record. Use Eighth Kelly or less for high-variance props or when probability estimates are particularly uncertain. The key principle is: the less confident you are in your estimate, the smaller your Kelly fraction should be.
Estimating win probability is the hardest part of using Kelly. Three main approaches exist. Market-based estimation uses sharp sportsbook lines as a baseline and adjusts based on your analysis. Model-based estimation uses statistical models built on historical data. Line shopping finds odds significantly better than consensus, where the edge is built into the price difference. Whichever method you use, your estimates must be more accurate than the betting market to have a genuine edge. Most bettors overestimate their ability to beat the market, which leads to over-betting with Kelly.
Neither is universally better. Kelly betting produces faster bankroll growth when you have accurate probability estimates and genuine edges. Flat betting is simpler, more emotionally stable, and does not require precise edge calculations. For most recreational bettors, flat betting is the better choice because it is hard to consistently estimate probabilities more accurately than the betting market. Kelly is best for serious bettors with proven models and the discipline to accept variable sizing. A hybrid approach, using flat units with occasional larger bets on high-confidence plays, offers a middle ground.
The Kelly Criterion calculator is an educational tool designed to help you think about bet sizing in a structured way. It does not guarantee profits and cannot eliminate the risk inherent in sports betting.
Key points to remember:
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