A hold calculator tells you what a sportsbook actually earned after bets are settled. This tool answers a different question: what should a sportsbook expect to earn before the games start?
The Sportsbook Revenue Simulator forecasts Gross Gaming Revenue (GGR) from three inputs: total handle, theoretical margin, and average bet size. It then models variance — the range of realistic outcomes based on standard deviation — to show whether the business is likely to be profitable or whether short-term volatility could produce a loss.
Important: this is a projection model, not a post-settlement revenue calculator. It estimates an expected revenue range under simplified assumptions. If you need to calculate actual hold from real handle and real payouts, use our Sportsbook Hold Calculator.
Sportsbook Revenue
B2B SimulatorHow to Use the Revenue Simulator
This tool is designed to model financial outcomes for sportsbook operators, PPH agents, and affiliates projecting rev-share commissions. Here is how to configure the simulation:
- Enter Total Handle (Turnover): This is the total dollar amount wagered by all players.
- Note: Revenue is derived from Handle, not deposits.
- Tip: If you are an affiliate on a revenue-share deal, enter only the handle attributed to your referred players, not the book’s total volume.
- Set Theoretical Hold (Margin): This is the mathematical edge the sportsbook has built into the odds — not the actual realized hold.
- Sharp (2.5%): Low margin books (e.g., -105 lines).
- Standard (4.5%): Standard books (e.g., -110 lines).
- Soft (7.0%+): Recreational books or prop-heavy mix.
- Parlays (15%): Rough example for parlay-heavy product mix. Actual parlay hold varies widely by payout ladder and product setup.
- Enter Average Bet Size: This is crucial for calculating variance.
- Why it matters: Taking $100,000 in handle from ten $10,000 bets carries massive risk. Taking the same handle from 10,000 bets of $10 ensures a much more predictable outcome. The simulator uses average bet size to estimate bet count, which drives the width of the revenue range.
- Analyze the Range: The simulator shows a simplified 95% range (±2 standard deviations). This means there is roughly a 95% chance your actual GGR will fall within the displayed Min-to-Max range under the model’s assumptions. If the Min value is negative, your business model carries real risk of a losing period at this volume level.
- Key insight: The width of the range depends almost entirely on bet count, not total handle. $100,000 from 10,000 small bets is far safer than $100,000 from 100 large bets — even though expected GGR is identical.
Related tools: to calculate the theoretical margin built into the odds, use our Bookmaker Margin Calculator. If you are a bettor trying to beat the book’s margin, use the No-Vig Calculator to find fair probabilities. For bankroll strategy on the bettor’s side, see the Variance & Downswing Calculator.
Which Tool Do You Need?
| Tool | Use It For |
|---|---|
| Sportsbook Revenue Simulator | Forecasting expected GGR and short-term variance before results are known |
| Sportsbook Hold Calculator | Calculating actual hold from real handle and real payouts after bets settle |
| Margin Calculator | Measuring the bookmaker edge built into the odds |
| No-Vig Calculator | Removing bookmaker margin to estimate fair probabilities |
Real-World Scenarios: The Danger of Variance
Why do some bookmakers go bust while others thrive? It often comes down to volume and variance management.
Scenario 1: The “High Roller” Risk
A private bookie takes $50,000 in handle. However, his average bet size is $1,000 (only 50 bets). He operates with a standard 4.5% hold.
- Expected GGR: $2,250.
- Variance Risk: High.
- Result: Because the bet count (50) is so small, standard deviation is huge. The simulator shows he could easily lose −$1,500 or win $6,000. This business model is unstable.
Scenario 2: The “Grind” Model
A commercial sportsbook takes the same $50,000 in handle, but with an average bet size of $10 (5,000 bets).
- Expected GGR: $2,250.
- Variance Risk: Low.
- Result: With 5,000 bets, the Law of Large Numbers takes effect. Under this simplified model, the expected revenue range tightens significantly — roughly $1,800 to $2,700.
An affiliate sends traffic to a sportsbook under a 30% GGR rev-share deal. Their referred players generate $200,000 in handle with an average bet size of $25 (8,000 bets). The book operates at a standard 4.5% hold.
- Expected GGR (book): $9,000.
- Your 30% share: $2,700.
- Variance Risk: Moderate.
- Result: With 8,000 bets, variance is manageable. But in a negative-GGR month, the affiliate earns $0 — rev-share deals floor at zero. The simulator helps estimate how tight the range is: at this volume, the probability of a negative month is approximately 8–10%.
What This Simulator Assumes (and Does Not Model)
This is a gross win projection, not a full P&L model. It does not subtract bonuses, free bets, promotional credits, payment processing costs, platform fees, taxes, or operating expenses. For a real business forecast, GGR is the starting line — not the finish.
The variance estimate uses a simplified standard deviation formula based on near-even-money binary outcomes (approximately 50/50 win probability per bet). This is a reasonable approximation for straight-bet-heavy sportsbooks, but will underestimate variance for books with heavy parlay, longshot, or futures exposure, where individual bet outcomes are more skewed. The visual range bar is illustrative — it shows the general shape of risk, not a precise probability distribution.
The projected range should be treated as a planning tool, not an audited forecast or a guarantee of outcomes.
Frequently Asked Questions (FAQ)
What is GGR in sports betting?
GGR stands for Gross Gaming Revenue. It is calculated as Total Handle minus Winning Payouts. It represents the money the sportsbook keeps before paying operating expenses, bonuses, taxes, and other costs.
Can a sportsbook lose money?
Yes. While the math ensures profit over millions of bets, a sportsbook can have a losing day, week, or even month if popular public outcomes hit or if the bet mix is concentrated on a small number of large wagers. This is known as negative variance.
What is the difference between Handle and Drop?
In sports betting, Handle is the total amount wagered. Drop is a casino term (money exchanged for chips). In online betting, “Turnover” or “Handle” are the standard terms for volume.
How is this different from the Sportsbook Hold Calculator?
The Hold Calculator works after bets settle — you enter actual handle and actual payouts to see realized GGR and hold %. This Revenue Simulator works before games are played — you enter projected handle, theoretical margin, and bet size to model expected GGR and variance. One measures what happened; the other forecasts what might happen.
Is this simulator based on actual payouts?
No. This tool uses theoretical hold (the margin built into the odds) to project expected GGR. It does not use real settled payouts. For actual post-settlement results, use the Sportsbook Hold Calculator.
Does this model work for parlays and prop bets?
It can be used for rough scenario planning with any bet type, but the variance model is most reliable for straight-bet-heavy books. Real-world parlay and prop exposure can create variance patterns that differ materially from the simplified even-money assumption this tool uses.
Why does average bet size affect variance?
For the same total handle, larger average bets mean fewer total bets. Fewer bets create a wider short-term revenue swing because the Law of Large Numbers has not yet smoothed out the randomness. The simulator uses average bet size to estimate bet count, which is the main driver of the range width.
Is GGR the same as net profit?
No. GGR (Gross Gaming Revenue) is the gross win before taxes, bonuses, platform fees, payment costs, and operating expenses. A sportsbook can post positive GGR and still lose money after all deductions. This simulator models GGR only.