What a few points of RTP are worth to a casino: theoretical win per hour
Economics
At 600 spins an hour and a stake of 1, a slot returning ninety-four per cent earns 36 an hour in theory, one returning ninety-seven per cent 18.
- 36per hour at the lower RTP
- 24per hour in the middle
- 18per hour at the higher RTP
Calculating theoretical win
Theoretical win equals total stake multiplied by the house edge. The table below shows results for a fixed number of spins and a unit stake. As the key figures show, a lower return to player yields a higher theoretical win. At the lower return rate, the hourly figure exceeds that of the higher return rate. The middle value sits between these two points. This calculation assumes each spin costs one unit and occurs at a steady rate. Operators use this formula to estimate revenue from consistent play. The difference between the highest and lowest hourly figures reflects the change in house edge. Suppliers and operators rely on this arithmetic to model expected income from slot games. For compliance details, see the regulation tracker.
| Slot | House edge | Theoretical win per hour |
|---|---|---|
| RTP 94 | 6.0% | 36 |
| RTP 96 | 4.0% | 24 |
| RTP 97 | 3.0% | 18 |
Valuing player activity
Operators use theoretical win to assess the value of player sessions. A higher house edge increases the expected retention of stakes over time. This metric helps determine how rewards are structured for frequent players. If a game returns less to the player, the operator retains more per hour. This retention influences budget allocations for loyalty programs and bonuses. The table above illustrates how a small shift in percentage changes the hourly total. Operators compare these totals across different game portfolios. The goal is to balance player retention with sustainable margins. Understanding this calculation allows suppliers to design games that meet specific financial targets. It provides a clear basis for negotiating terms with operators.
Impact of small RTP changes
Small differences in return to player significantly affect hourly outcomes. Moving from a higher return to a lower one increases the operator's expected win. The table above demonstrates this linear relationship. Each point of house edge adds a fixed amount to the hourly total. Suppliers must consider this when configuring game mathematics. A slight adjustment in percentage can alter the competitive landscape for game selection. Operators prefer games that offer predictable revenue streams. The consistency of the calculation allows for accurate forecasting. This predictability supports inventory management and marketing strategies. Suppliers adjust RTP settings to align with these operational needs. The result is a standardized approach to game performance evaluation.
Questions
How is theoretical win calculated?
Multiply the total amount staked by the house edge percentage. For example, if you stake one unit per spin over a set number of spins, the house edge determines the retained amount. The table shows these calculations for different return levels.
Why do operators care about RTP differences?
Small changes in return to player alter the expected hourly revenue. Operators use this data to manage margins and allocate rewards. Higher house edges result in greater theoretical retention per hour, influencing game selection and supplier negotiations.
Does the stake amount change the outcome?
Theoretical win scales directly with the stake amount. If the stake doubles, the theoretical win also doubles, assuming the same number of spins and house edge. The relationship remains linear regardless of the specific stake value.
Every figure on this page is computed by code from standard industry formulas and the facts of our regulation tracker, each checked a second way. See the methodology.