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. 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. 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. This is where our work takes on a Moneyball-like aspect – questioning the wisdom of widely held beliefs when data show that a new way of thinking may be better.” “But we must consider how we know what we know. “I think some operators are naturally and understandably cautious of new information that challenges traditional industry practices,” said Lucas.
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.
At least not according to a series of recent studies led by Anthony Lucas, a UNLV Hospitality College professor and former gaming industry operations analyst.įor 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. 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? 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.
0 kommentar(er)
