UNLV releases slot machine payout percentage study
Pay dirt! Myth-busting UNLV study reveals that gamblers can’t detect slot machine payout percentages
It’s a common sight on casino floors: patrons jumping from slot machine to slot machine before eventually hunkering down at a game that’s due for the next big payout.
But can players—even the regulars who frequent a particular property—really tell the difference between the house edge on one game from that of another?
Nope. At least not according to “Impacts of Increased House Advantages on Reel Slots,” a recent study led by Anthony Lucas, a UNLV Hospitality College professor and former gaming industry operations analyst, that was published online at the International Journal of Contemporary Hospitality Management.
For the past several years, Lucas and colleague Katherine Spilde from San Diego State University have taken to casino floors on multiple properties in the U.S., Australia and Mexico to investigate. Their results contradict long held beliefs by casino operators about a player’s ability to detect differences in how much—and how often—a slot machine pays.
In their latest study, the UNLV-led research team compared two pairs of reel slot games at a “locals” casino in suburban Sydney, Australia, where all wagering occurs on electronic gaming devices. Their process is relatively straightforward: take two identical slot machines, positioned in similar places on a casino floor, but vary the “par”—the percent of total coin-in that the machine keeps over time. For example, if the par on a game is set at 10 percent, the machine would be expected to retain $10 of every $100 wagered, on average, over the long term. But in the short term, this rarely happens, increasing the difficulty of par detection.
For this study, researchers compared the daily performance of pairings for the games “Tokyo Rose” and “Dragon’s Fortune X” over a nine-month period. The pars within each pairing ranged from 7.98 percent on the low end to 14.93 percent on the high end.
Researchers measured daily coin-in for each machine as well as its “T-win,” a formula that multiplies coin-in and par to calculate a machine’s expected value, or its theoretical win. If, over the course of the nine-month test, regular players could detect a difference in the pars, this comparison would reveal whether (and how much) players migrated from higher-par to lower-par.
As Lucas predicted, differences between the high- and low-par games remained stable throughout the length of the study, which meant that there was no statistically significant indication of play migration. And while the lower-par machines had more coin-in over the course of the study period, the T-win was greater on average for the high-par machines. The positive impact from the elevated T-win on revenue for the higher par machines more than compensated for the decline in coin-in on those machines.
“Casino operators should take note of the substantial increases in T-win, as they are responsible for optimizing revenues, not coin-in,” said Lucas.
So, other than busting one of gaming’s great myths, why does this matter?
Pars are an important factor for casinos looking to optimize revenues, as the bulk of slot revenues come from reel slots, and a lion’s share of a casino’s overall profits come from slot operations. While there are exceptions to this rule, it is true for most of the world’s casinos, “ultimately, operators are responsible for optimizing slot revenues, which is no simple task,” Lucas said. “Knowing which par will produce the greatest win is most helpful, but the optimization issue becomes more complex when the possibility of player detection is introduced.”
That’s where industry perspective is mixed, as operators have expressed concerns that short-term gains from higher pars could lead to long-term losses as players leave perceived “tight” slot floors for the greener pastures of their competitors.
To account for this concern, researchers extended the length of time from previous work, from six months to nine months. They also expanded the difference in pars between matched pairs from 4.9 percent in the initial study to 6.95 percent in the current study.
Despite these factors, the results still found no evidence of players moving away from higher-par machines to their low-par counterparts, and the high-par games continued to post substantially greater revenues.
“Put simply, our results suggest that greater pars produce greater revenues, without the risk of brand damage resulting from ‘price’ detection,” Lucas said.