If you want a clean industry figure, "operators lose X percent to cheating," there isn't one, and anyone who quotes you a precise national statistic is making it up. Cheating losses don't get reported, because the operator usually doesn't even know it happened. The real loss isn't a fixed percentage, it's whatever your most-exploited machine holds per day multiplied by how long the cheating runs before you catch it, and that second number is the one that hurts. What I can give you is a way to size your own exposure honestly, using your own machines, so you stop guessing.
Let me reason through it the way I'd do it standing in front of your floor.
Forget the floor total for a minute. Pick one machine and ask: on an average day, how much does this machine actually keep after payouts? That's your daily hold for that cabinet. A modest video or redemption machine might hold a small amount a day; a busy fish table or high-traffic redemption unit holds a lot more. You already have this number in your reports, or you can get it from a week of coin-in minus payout.
Now here's the key insight most owners miss: cheating doesn't usually take the whole machine to zero. A smart cheater doesn't bust your machine out in one night, that gets noticed. They shave. They take a cut that's small enough to look like variance but large enough to matter when it repeats. So the loss isn't "the machine made nothing," it's "the machine held 18 cents on the dollar instead of 30, every day, for two months."
There are three multipliers that turn a small per-play edge into a serious number:
The per-day bleed. How much extra is leaving this machine each day versus its honest baseline. Even a modest daily gap is a slow drip you'd never notice on a busy night.
The number of days before you catch it. This is the killer. If you find it in three days, the damage is contained. If it runs for ninety days because the room is busy and nobody's reconciling per-machine, you multiply that daily bleed by ninety. The cheating wasn't expensive per day; the detection lag was expensive.
The number of machines and people involved. Word travels. A method that works on one fish table works on the identical cabinet next to it, and a cheater who succeeds often comes back with friends. One exploit can become a pattern across your high-value machines.
So if you want to size it, the framing is: if my best machine holds $X a day, and a cheat is shaving even a quarter to a third of that, and it runs undetected for N days before I notice, my loss is roughly (fraction of X) times N. Plug in your own X and your own honest guess at N. For most operators who haven't been actively watching, N is far larger than they want to admit, because the only thing that was going to surface the problem was a manual audit nobody had time to run.
The direct payout bleed is just the visible part. The fuller cost includes things that don't show up as a line item:
The machine's reputation on your floor. A fish or redemption cabinet that's been "figured out" attracts the wrong crowd and drives off the casual families who are your actual margin.
Your time chasing a ghost. Owners burn weeks re-checking settings, swapping bill acceptors, and second-guessing staff because they can't tell cheating from variance. That labor is real money too.
Honest players who feel the game is rigged when they watch one person win constantly, and quietly stop coming.
I put numbers and a worked example to the single-cheater version of this in the real cost of one cheater on your game floor, because once you trace one person's full impact it reframes how you think about prevention spend.
It's never spread evenly. In the cases I've worked, the bleed clusters hard on the machines with the biggest payouts and the most automated results, fish games, redemption and ticket machines, eight-ball and pusher units, anything where forcing a result is worth real money. Low-payout novelty machines barely get touched because they're not worth the effort. So your exposure isn't "all machines a little," it's "a few machines a lot." That's good news, because it means you can concentrate your protection where the money actually is, which I cover in protecting profit margins on high-payout machines.
You can't easily stop someone from trying to cheat. What you can control is how long it runs before you know. That single variable, the detection lag, is the difference between a contained nuisance and a quarter of lost margin. Cut N from ninety days to one day and you've cut the loss by ninety times, without changing anything about the cheater.
That's the whole logic behind monitoring. A detection unit watches the machine full time and alerts you the moment a result looks forced or a coin path or data line looks tampered, with a timestamped log. It doesn't make your machine un-cheatable, it makes cheating un-profitable, because the window between attempt and discovery collapses to near zero. Plug-and-play detection versus the old "review the cameras later" approach is exactly this difference, and the detection technology overview explains what these devices actually watch for.
Do this, it takes an hour:
Pull per-machine coin-in and payout for your top five earners over the last 60–90 days.
For each, find the honest baseline hold (a stretch you trust) and the current hold.
The gap, in dollars per day, times the number of days it's been running, is your floor estimate of loss on that machine.
Add it up. That total, almost always, is several times what an alerting setup would have cost.
If you'd rather not guess at N, the smarter move is to make N small going forward. Send me your machine list, fish, redemption, pusher, whatever you run, and I'll tell you which cabinets carry the real exposure and what to put on them first. I'm Engineer Wang, fourteen years in arcade hardware security out of Panyu, Guangzhou. The full picture of how detection protects margin is on the revenue protection overview; to talk specifics, reach me on WhatsApp or WeChat at +86 17620842078 or through the contact page.