| Title |
Betting Patterns for Sports and Races: A Longitudinal Analysis of Online Wagering in Australia
|
|---|---|
| Published in |
Journal of Gambling Studies, October 2013
|
| DOI | 10.1007/s10899-013-9415-4 |
| Pubmed ID | |
| Authors |
Sally M. Gainsbury, Alex Russell |
| Abstract |
Online wagering is increasing in popularity as it is easily accessible through websites which market these services widely. However, few studies have examined online betting based on actual behavioural data. This paper describes the results of an analysis of 2,522,299 bets placed with an Australian online wagering operator over a 1-year period. The majority of bets placed were for a win (45.31 %) and were placed on races (86.74 %) or sports (11.29 %). Sports betting was dominated by ball sports, reflecting popular interest in these events. More than three-quarters (77.63 %) of the bets were losses and there was large variation in bet size between bet types and events bet on although average bets were higher than in previously reported studies. The most popular bets placed to win, had a relatively high rate of losses and lowest average returns, which may reflect less sophisticated betting behaviour. More specific handicap and total bets were placed by fewer customers, but were larger bets with the greatest returns. Similarly, bets placed on less popular sporting events had greater average returns potentially reflecting greater customer sophistication and knowledge raising the possibility of a proportion of bettors being more 'skilled'. As the first paper to analyze the types of bets placed on events and outcomes the results support the notion that wagering is an entertainment activity, and the majority of customers are motivated by factors other than simply winning money. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 29% |
| India | 1 | 14% |
| Comoros | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 16% |
| Student > Ph. D. Student | 10 | 13% |
| Researcher | 9 | 12% |
| Student > Master | 8 | 11% |
| Other | 4 | 5% |
| Other | 17 | 22% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 13 | 17% |
| Social Sciences | 11 | 14% |
| Business, Management and Accounting | 5 | 7% |
| Nursing and Health Professions | 4 | 5% |
| Medicine and Dentistry | 4 | 5% |
| Other | 20 | 26% |
| Unknown | 19 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 104. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 February 2023.
All research outputs
#404,026
of 25,374,647 outputs
Outputs from Journal of Gambling Studies
#20
of 989 outputs
Outputs of similar age
#3,155
of 225,442 outputs
Outputs of similar age from Journal of Gambling Studies
#1
of 16 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 989 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 225,442 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.