Casino economics becomes easier when every number is tied to the question it can actually answer. House edge prices a game. Theoretical win estimates expected value from play. Actual win records what happened. Coin-in measures slot wagering volume. Drop measures table buy-in flow. Reinvestment describes marketing spend against expected player value. None of those numbers can replace the others.
This page is designed as a decision reference, not a narrative introduction. Use it when a report, rating, shift result, promotion, or management discussion contains a casino metric and you need to know what that metric means—and what it does not mean.
Start with the question before choosing the metric
The fastest way to misuse casino data is to start with a number and invent a story around it. Start with the management question instead.
| Management question | Primary metric or evidence | Why |
|---|---|---|
| How much slot action occurred? | Coin-in | Measures total slot wagers, including replayed credits |
| How much table buy-in reached the game? | Drop | Tracks cash/chip equivalents introduced to tables under the property’s definition |
| What did the casino actually win? | Actual win | Records the realized period result |
| What was the expected gaming value? | Theoretical win/loss | Normalizes play using game assumptions and rated activity |
| Was a table unusually lucky or unlucky? | Actual vs theoretical, hold, volume | Separates result variance from activity |
| Is a slot bank productive? | Win, coin-in, uptime, unit/space yield | Combines revenue with capacity and use |
| Is an offer economical? | Incremental theo/contribution vs offer cost | Tests whether reinvestment created value |
| Is a game expensive to operate? | Labor + product + occupancy + control cost | Looks beyond gross gaming win |
A useful casino dashboard is therefore a collection of different lenses, not one master number.
House edge: the price built into the wager
House edge is the long-run expected percentage advantage of the casino under a defined set of rules and player decisions.
If a wager has a 2% house edge, that does not mean every player loses 2% of a buy-in or that the casino wins 2% every hour. It means that over a sufficiently large number of comparable wagers, the expected casino value is about 2% of the relevant wagering base.
For a simple independent wager:
Expected casino win = total amount wagered × house edge
The key words are expected and total amount wagered.
Theoretical win: expected value attached to actual activity
Theoretical win turns game price into an estimate of the value of a player’s observed or rated activity.
A common table-games model is:
Theo = average bet × decisions per hour × hours played × house edge
Each input can be imperfect. Average bet may be estimated. Decisions per hour vary with table occupancy and procedure. House edge may depend on player decisions. Time may be rounded or interrupted.
So theo is not truth measured to the cent. It is a disciplined estimate that is usually more stable for player-value decisions than one night’s actual loss.
See Theoretical Loss Explained and Player Rating Explained for the detailed rating side.
Actual win: what happened, including luck
Actual win is the realized casino result for the period or activity being measured.
At a high level:
Casino win = wagers or buy-ins retained after payouts and settlement, according to the accounting definition used
Actual win matters because bills, taxes, cash flows, and financial statements are not paid with theoretical numbers. But actual win is noisy. A high-value player can win heavily in a short period. A low-value player can lose an unusual amount. A table can have a strong hold day without becoming a better game.
Operationally, the most useful comparison is often actual result versus expected result over enough volume.
Slot coin-in: action, not revenue
Coin-in is the cumulative value wagered through slot play. It includes credits that are won and then wagered again.
Coin-in = sum of completed slot wagers
If a player inserts $100 but cycles $1,400 through the machine, coin-in is $1,400—not $100.
Coin-in is useful for volume, product performance, and player-value models. It should never be labeled “casino revenue.” The casino may return most of that wagering volume as prizes.
Slot hold: win measured against slot wagering volume
A common slot hold calculation is:
Slot hold % = slot win ÷ coin-in
If a bank records $1,000,000 coin-in and $80,000 win, observed hold is 8% for that measured period.
Observed hold can differ from theoretical hold because outcomes vary. Over more play, management expects the relationship to become more stable, assuming the configuration and data are correct.
Do not compare slot hold directly with table hold as if they use the same denominator.
Table drop: buy-in flow, not total wagers
Table drop generally measures money or equivalent value introduced into table games and secured for count, subject to the casino’s accounting procedures and jurisdictional definitions.
A player can buy in once and then make many wagers with the same chips. That is why table drop is not equivalent to total handle and not equivalent to slot coin-in.
This denominator difference explains why “10% table hold” cannot be interpreted as “10% house edge.”
Table hold: a property result against drop
A common management ratio is:
Table hold % = table win ÷ table drop
This ratio is useful for operational review, but it is affected by player behavior, chip movement, credit, buy-in patterns, game mix, volatility, and the measurement period.
House edge prices individual wagers. Table hold describes a realized property result against drop. They answer different questions.
Average bet and time: essential but imperfect table-rating inputs
On table games, player value often depends on observed average bet and time played. Those inputs are practical rather than laboratory-perfect.
A supervisor may need to rate a player whose wager changes constantly, who plays side bets only sometimes, who leaves during a shoe, or who moves tables. That creates estimation risk.
For this reason, small differences in a table rating should not be treated as exact economic truth. Systems should support consistent observation and documented correction rather than false precision.
Decisions per hour: the missing multiplier in many comparisons
Two games can have the same house edge and average wager but very different expected hourly economics if one produces more completed decisions.
A simple example:
- $25 average bet × 60 decisions × 1% edge = $15 expected win per hour
- $25 average bet × 120 decisions × 1% edge = $30 expected win per hour
This is why pace matters in comparisons between games, table occupancy levels, automated products, and slots.
Reinvestment: the marketing budget attached to expected value
A simplified comp model is:
Comp budget = theoretical player value × reinvestment rate
If theo is $500 and the property’s relevant reinvestment target is 20%, the gross target budget would be $100 before considering the cost structure and type of benefit.
But face value and casino cost are not identical. A $100 room benefit may cost the property less than $100 when capacity is available. Free play has a different economic treatment. Food, events, transport, host discretion, and third-party benefits have different cost profiles.
The reinvestment rate is therefore a budgeting tool, not a promise owed to a player.
Incremental value: the test promotions often fail
Promotion analysis should ask what changed because of the offer.
A simplified test is:
Incremental contribution = value created by incremental activity − incremental offer and operating cost
Redemption alone is not success. A coupon can have a 90% redemption rate and still be a poor campaign if recipients would have visited anyway or if the offer cost exceeds the incremental contribution it generated.
This is why Casino Mailers and Offers should be read with How Promotions Are Designed.
Floor yield: revenue without space context is incomplete
Casino floor space is finite. Management therefore needs to know not only what a machine or table wins, but what it contributes relative to the scarce resources it consumes.
Possible denominators include machine unit, table, square foot or square meter, open hour, labor hour, or seat. The correct denominator depends on the decision.
A high-gross-win table can still be weak if it requires heavy staffing and displaces more productive capacity. A modest slot can still be useful if it has low product cost, loyal demand, and a strategic location.
Volatility: why short periods can mislead
Casino gaming results fluctuate. A VIP baccarat player can transform a shift result with a few large hands. A progressive jackpot can make a slot bank’s short-period actual win look weak. A table can hold far above expectation for days and then reverse.
Managers therefore need time horizons that fit the question. Shift reports are useful for control and handover. Monthly and trailing-period views are better for many product decisions. Longer histories may be necessary for high-volatility segments.
The mistake is not looking at a short period. The mistake is treating a short period as proof of long-run economics.
Cost belongs beside revenue
Gross gaming revenue is not operating profit. Depending on the property and jurisdiction, casino economics can include gaming taxes, labor, benefits, product participation fees, licensing, technology, marketing, player reinvestment, bad debt, utilities, occupancy, surveillance, security, compliance, maintenance, and shared resort overhead.
That is why “this game won $1 million” is not enough to determine whether the product was economically superior.
Public sources such as the AGA Commercial Gaming Revenue Tracker and the Nevada Gaming Control Board revenue reports are useful for market-level revenue context, but internal management decisions require much more detailed cost and activity data.
A compact decision rule for casino economics
Before using any metric, ask four questions: What is the numerator? What is the denominator? What time period is being measured? What decision will this number support?
Those four questions prevent many common mistakes. They stop coin-in from becoming “revenue,” table hold from becoming “house edge,” actual loss from becoming “player value,” and redemption from becoming “promotion success.”
For broader context, continue with How Casinos Make Money, Daily Revenue Model, Casino Economics FAQ, and Why Low House Edge Is Not Low Cost.