Related Experiment Video
Updated: Nov 9, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
Structural characteristics of fixed-odds sports betting products
Philip W S Newall1, Alex M T Russell1, Nerilee Hing2
11 Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Sydney, NSW, Australia.
Background And Aims:
A literature exists on the structural characteristics of electronic gambling machines (EGMs), which are design innovations that can promote spending excessive time and money on these games. Fixed-odds sports betting products, where bettors place sports bets against a bookmaker, have also seen significant innovations in recent years. Despite some differences between these gambling products, similar structural characteristics could also be relevant to sports betting. The aim was to review previous research on contemporary fixed-odds sports betting products, and to identify whether structural characteristics from the EGM literature are also relevant to sports betting.
Methods:
Structural characteristics uncovered by two influential reviews of EGMs were identified, and their relevance to fixed-odds sports betting products discussed via a narrative review.
Results:
Structural characteristics of payout interval and potential betting frequency (in-play betting), multiplier potential (accumulators, complex bets, multis), win probability and payout ratio (all bets), bettor involvement (custom sports betting products, cash out), skill required (all bets), and near-misses (accumulators, complex bets, multis) were all identified in modern fixed-odds sports betting products.
Discussion And Conclusions:
Fixed-odds sports betting products have increasingly incorporated structural characteristics previously found in EGMs. Future research could further assess the extent to which these structural characteristics contribute to fixed-odds sports bettors spending excessive amounts of time and money while betting. These findings can help guide further sports betting research, contribute to an improved understanding of the potential universality of gambling product design, and inform policy.
More Related Videos
08:24The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
09:40Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
Published on: November 15, 2014
Related Concept Videos
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Probability Distributions
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
Probability in Statistics
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
Expected Value
Odds Ratio
Binomial Probability Distribution
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...