In-Play Sports Betting: a Scoping Study

A scoping study was carried out to investigate in-play sports betting. According to Mays, Roberts and Popay (2001), a scoping study aims to “map rapidly the key concepts underpinning a research area and the main sources and types of evidence available, and can be undertaken as stand-alone projects in their own right, especially where an area is complex or has not been reviewed comprehensively before” (p.194). A scoping review differs from traditional literature reviews in that it is a preliminary assessment of the potential size and scope of the available research literature and there is no attempt to control for the quality of the data or where it was obtained (Kavanagh et al. 2005). Scoping reviews also tend to address broader topics where many different study designs might be applicable, rather than focusing on a well-defined research question. They may also include information from non-academic sources (e.g., information available on websites).

The current scoping study was carried out by (i) examining in-play sports betting literature (both academic and the non-academic ‘grey’ literature) and (ii) accessing and examining information obtained from online gambling websites that feature in-play betting facilities and features. As far as the authors are aware, the present paper is the first to examine availability of literature relating to online in-play sports betting and its specific features on online platforms. The scoping study focused on the following questions: (i) What in-play betting features have been made available to online sports betting users? (ii) What empirical research has been carried out on in-play sports betting? (iii) What has been theorised or speculated upon concerning in-play betting in the gambling studies literature?

A comprehensive research strategy was adopted that involved searching for evidence from electronic databases: Scopus, Web of Science, PsycARTICLES, PsychINFO PubMED, ProQuest Dissertation and Thesis Global and Google Scholar. To identify any literature related to in-play betting, the follow search terms were used: “In-play [AND] betting”, “Live [AND] action [AND] betting”, “Online [AND] sports [AND] betting”, “In-running [AND] betting”, “In-play [AND] gambling”, “Live [AND] action [AND] gambling”, “Online [AND] sports [AND] gambling”, “In-running [AND] gambling”, “Internet [AND] sports [AND] gambling” and “internet [AND] sports [AND] betting”. The studies were selected if they contained the following criteria: (i) being published in English and (ii) including any information (e.g., theoretical critique) or empirical data pertaining to in-play sports betting. Furthermore, reference lists of retrieved studies were also searched to identify any additional relevant studies. A flow diagram demonstrating this process is shown in Appendix Fig. 1.

Academic papers and grey literature were examined to identify any information relating to in-play sports betting. After ‘scoping’ the literature, a list of any academic papers (both empirical and theoretical) relating to in-play sports betting were identified and are described within the results section. Internet gambling websites were visited to see what features were currently available for in-play sports betting users. A list of 514 online bookmakers that offered online sports betting services was retrieved from the Top 100 Bookmakers (2017) website (http://​www.​top100bookmakers​.​com/​completelist.​php). The gambling websites visited were included for review if (i) they offered an online sports betting service, and (ii) it was possible to access the website in English. This resulted in a total of 338 online gambling websites from around the world being visited and reviewed. Those that offered in-play betting services were examined in further detail and are listed in Appendix Table 3 (n = 88). Different features from each of the websites were reviewed, including ‘help and support areas’, ‘terms and conditions’ and ‘promotions’. These were examined to understand what in-play sports betting products, if any, were available for that website. After ‘scoping’ the websites, a list of in-play sports betting features were coded and are described in the results section and in Appendix Table 3.

After conducting a systematic literature search, 2047 papers were identified. Once duplicate articles had been removed using Mendeley software and manual searching, 438 papers remained. Of these, 16 papers were identified which included empirical data or theorised about in-play sports betting in the gambling study literature. Thirteen of the papers were empirical, and three of the papers were theoretical and/or commentary based providing some kind of critique of in-play sports betting (see Table 1).

Prior to 2006, online gambling studies were predominantly based on self-reported methods and data (Griffiths et al. 2006). Since then, a number of studies have utilised behavioural tracking datasets provided by gaming operators (Griffiths 2014). Datasets provided by bwin have resulted in a series of empirical contributions regarding actual online gambling behaviour (Braverman and Shaffer 2010; Braverman et al. 2013; Gray et al., 2012; LaBrie et al. 2007; LaPlante et al. 2008; Nelson et al. 2008; Xuan and Shaffer 2009). Using a dataset of nearly 47,000 European gamblers, analyses have been conducted using two main approaches: (i) general behaviour descriptions of people who used one particular type of gambling product and (ii) behavioural data pertaining to account closures and the use of online responsible gambling features. In-play sports betting is one form of online gambling which has been examined in relation to its association with problem gambling. The remainder of this section looks at the main findings of these studies.

LaBrie et al. (2007) published the first research on actual gambling behaviour using the bwin data sample. This was a longitudinal study of sports gambling behaviour consisting of sample of 40,499 subscribers, studied over an 8-month period. The aim of the study was to describe Internet gambling behaviour, which was determined by analysing three variables converted to measure gambling involvement: number of daily bets, money bet, and money won. They found that within a sample of online sports bettors, in-play sports bettors (as opposed to those classified as fixed-odds gamblers who placed their bets prior to sports event starting) were more likely to be categorised as heavily involved gamblers (based on number of bets, amount wagers and net losses) when compared to fixed-odds gamblers. One limitation of this study is that this betting behaviour may not have been representative of the participant’s total online gambling behaviour (e.g., bettors may play on other online sites or in betting shops). It was also noted that players other than the account holder may have bet using the online account (LaBrie et al. 2007). Finally, LaBrie et al. (2007) suggest that the progression of activities that lead to pathological gambling may require longer exposure to Internet gambling than the 8 months of gambling that were observed during their study.

LaPlante et al. (2008) reported that within a sample of 47,603 bwin subscribers, there was a decline in population participation, number of bets, and size of stakes during an 18-month period. However, this pattern was not seen amongst a sub-group of heavily involved bettors, particularly for in-play sports bettors. Those that placed bets in-play were found to maintain high levels of betting in the period following on from the initial subscription. Several limitations of the study were noted. For example, it was not possible to determine whether the sample utilised other online gambling activities as well as sports betting outside of the bwin website. It is possible that the decrease in gambling activity may have been because bettors moved their betting activity to a different gambling service provider. If this was the case, then it is noted that the overall gambling activity would have been underestimated.

Braverman and Shaffer (2010) examined whether several gambling characteristics could serve as predictors of future gambling-related problems using a sample of 530 in-play sports bettors who went on to close their accounts due to gambling-related problems after a 1-month period. Four characteristics were considered when gamblers initially started betting: (i) gambling frequency (number of betting days), (ii) gambling intensity (number of bets per day), (iii) gambling trajectory (the tendency to increase or decrease the amount of wagered money) and (iv) gambling variability (the standard deviation of wagers). They found that gamblers who were more likely to close their online betting account due to gambling-related problems initially demonstrated a higher pattern of high variability, high intensity, and high variability of wager sizes when in-play gambling than the gamblers who did not report gambling-related problems upon closing their account. Although it is not possible to determine why there was a relationship between high wager intensity and variability and gambling-related problems, it was speculated that external factors (e.g., availability of time, social relationships, or money resources) influence problem gamblers more than ‘social gamblers’. Furthermore, the variability in in-play wagers may be indicative of gamblers’ desire to stop or to control their impulses (Braverman and Shaffer 2010). Although this study focused on the behaviour of in-play bettors, it was noted that some participants engaged in very little in-play betting during their first month or during the 2-year gambling period. It is possible that these bettors participated in other gambling activities (e.g., fixed-odds betting) and that these other ways of gambling contributed to account closure (Braverman and Shaffer 2010). Another limitation of this study is that it relies on account closers’ self-reported gambling-related problems as an indication of actual gambling-related problems. Subsequently, there is no clinical evidence of the participant experiencing gambling-related problems.

Brosowski et al. (2012) investigated the associations between participation in different gambling types and at-risk gambling. They analysed behavioural data from 27,653 bwin subscribers that included the use of eight gambling products by players over a period of 7 months. They found that 60% of gamblers took part in more than one form of gambling and that gambling involvement levels, including gambling on multiple game types, were predictive of gambling-related problems. Engaging in in-play betting or poker were significant predictors of at-risk gambling after controlling for multiple game involvement. One limitation of this study is that data were not collected to confirm whether the participant gambled with any other provider or whether they were the sole user of the account. Secondly, it is not known what marketing interventions were offered by bwin around the time of recruitment. Brosowski et al. (2012) suggest that it is possible that a marketing intervention may have artificially increased the sample with bettors only interested in bonus incentives, who then decreased their betting activities after taking advantage of the bonus offers on subscription to the site.

Braverman et al. (2013) carried out a study attempting to identify behavioural markers that can be used to predict the development of gambling-related problems. Approximately half of the 4056 participants had been received what was termed a ‘responsible gambling (RG) flag’ by bwin. Reasons for receiving RG flags included closing their account due to responsible gambling-related problems and/or displaying unusual financial and/or verbal behaviours (e.g., requesting a higher deposit limit). The other half of the sample consisted of subscribers who did not have an RG flag at the time of study. This was the control group (n = 2014), and they were matched by the date of their first deposit. The analysis identified two groups of online gamblers who had a higher risk of developing gambling problems. The first group engaged in multiple gambling activities and demonstrated a high wager variability on casino games in their first month on using the gambling website. The second group participated in two different gambling types and demonstrated high variability for in-play sports betting. One limitation of this research was the method used to describe betting behaviour. The difference in the number of bets and the stake size between the first and second half of the month were calculated and used this information to categorise the gamblers into one of three groups: stable, increasing, and decreasing. Braverman et al. (2013) suggest that other methods of categorisation may be proven useful in predicting gambling-related problems. Another limitation was that the bwin responsible gambling program is used as an indicator of gambling-related problems but has not been evaluated against clinical evaluation (Braverman et al. 2013).

LaPlante et al. (2014) reported that people who bet on in-play sports (as opposed to pre-match betting) were more likely to experience gambling-related problems. In this study, 1440 online surveys were collected from bwin subscribers who completed the Brief Biosocial Gambling Screen (BBGS; Gebauer et al. 2010). These data were then analysed alongside online gambling patterns. After controlling for breadth (the number of games an individual plays) and depth (as measured by the number of days spent gambling) of gambling involvement, the study found a relationship between in-play betting and gambling-related problems remained. One limitation of this research was that it utilised an online self-report survey (the BBGS) to assess pathological gambling. An independent clinical validation of the self-reported BBGS assessment was not provided, and the BBGS is a relatively new screen that requires further validation. Therefore, the results were subject to limitations associated with self-report methodology (LaPlante et al. 2014).

Some studies have used the utilisation of online responsible gambling features by players on online gambling platforms to make inferences about online gambling behaviour including in-play betting. Gray et al. (2012) examined 2066 bwin subscribers who triggered an automated responsible gambling (RG) alert. Subscribers triggered RG interventions by engaging with bwin customer service representatives concerning various responsible gambling tools (e.g., account closure, voluntary self-exclusion, and deposit limits). When gambling behaviour of the bwin subscribers was compared to a group of control subscribers, indices of the intensity of gambling activity (e.g., total number of bets made, number of bets per betting day) for in-play sports bettors most differentiated those who had triggered the responsible gambling alert from the control group. A limitation of this particular study was that triggering an RG feature does not serve as a guaranteed indicator that the user has experienced a gambling-related problem (Gray et al. 2012; Griffiths and Auer 2016; Nelson et al. 2008). This supports previous research showing that those using responsible gambling tools such as limit-setting (Nelson et al. 2008) are more likely to engage in in-play betting than those who do not use such RG tools. However, if there is an association between engaging in in-play sports betting and disordered gambling, the direction remains unclear (Gray et al. 2012). A limitation of using players who set voluntary limits as a population of study is that they may not be representative of all subscribers with problems. Only a small subset of people with gambling-related problems actively seek help for that problem (Slutske 2006); therefore, the researchers are limited with the conclusions that can be proposed about gambling-related problems from those who do not seek help (Nelson et al. 2008).

Xuan and Shaffer (2009) reported on the behaviour of in-play gamblers using the bwin dataset. The gambling behaviour of a sample of 226 bwin subscribers who later went on to close their account was compared to a control group of 226 subscribers. In-play wagering patterns were a significant behavioural marker for players who then went on to close their betting account. Those gamblers with account closures demonstrated higher stakes per bet and increased monetary losses but a more conservative betting strategy prior to closing their account. Studies by Braverman and Shaffer (2010) and Xuan and Shaffer (2009) complement the findings of one another in respect to identifying in-play betting behaviours that act as indicators to future gambling-related problems gambling. However, there are limitations for the methodology that was used. Behaviour was only analysed for players who closed their accounts during a select period, a very small proportion of the total bwin sample (1.11 and 0.47% respectively). Only in-play betting behaviour was investigated, and it has been noted that it is likely that these gamblers also gamble on other games (e.g., fixed odds betting), and so, other betting activity may have contributed to the closing of the account.

Broda et al. (2008) compared gambling behaviour of those who exceeded deposit limits (i.e., a voluntary limit set on the amount that can be deposited onto an online gambling account) with those who did not within a sample of 46,840 bwin subscribers. Their period of analyses was longer than that of Nelson et al. (2008)—a 2-year period as opposed to 18 months. Broda et al. (2008) found that people who received a notification advising them that they had exceeded their deposit limit demonstrated a higher involvement in sports betting (as measured by bets per day and stake size) than players who had not exceeded their deposit limit. However, only a small percentage of players (0.3%) exceeded deposit limits. However, this was the only study that reported no difference in betting behaviour between players who placed fixed-odds bets and those who placed live action (in-play) bets. However, one major limitation of the study was that although the deposit limit amount that led to issuing a notification message may differ between participants, it was not possible to analyse whether different limits were associated with different effects on gambling behaviour because these data were not available (Broda et al. 2008).

A few studies utilising self-report methods have been carried out with the aim of attempting to identify behavioural, psychological and socio-demographic predictors of sports gamblers (including those who bet in-play). Within a sample of 1816 Australian sports gamblers, more impulsive sports gamblers were found to have higher problem gambling severity scores and were more likely to place a higher number of their bets on impulse in-play sports gambling, as opposed to betting on pre-match outcomes (Hing et al. 2017a). However, the authors noted that causal directions were unclear because it may be that placing impulsive in-play bets leads to the development of gambling problems, or conversely, that at-risk and problem gamblers are more likely to place impulse bets in-play. Therefore, in-play betting may be more likely to promote impulsive behaviour, although there is currently no empirical evidence available to support this relationship (Lopez-Gonzalez and Griffiths 2017).

Hing et al. (2016) carried out a study that attempted to identify demographic, behavioural and normative risk factors for gambling problems amongst a sample of 639 Australian sports bettors. Sports bettors who engaged in more than one type of gambling showed higher problem gambling severity (measured using the Problem Gambling Severity Index; Ferris and Wynne 2001). Higher problem gambling severity was associated with a less planned, more impulsive approach to sports betting, particularly in-play sports betting. People who planned and researched their bets prior to an event were found to have significantly lower PGSI scores than those who did not. Limitations of this study include its use of self-report data that is subject to recall, social desirability and other biases, and that its use of cross-sectional design does not allow for the determination of causality (Hing et al. 2016).

Lopez-Gonzalez et al., 2018) explored the association between the use of new structural characteristics of online betting and gambling severity within a sample of 659 Spanish bettors who had bet on sports during the previous 12 months. They examined live in-play betting, the cash out in-play feature, fantasy sports gaming, location of betting and device or platform used to make a bet. In-play betting was reported to be associated with those who were categorised as problem gamblers. They also reported that those categorised as problem gamblers used the in-play cash out feature more than those who were not. The authors provided several limitations of the study. The first being that it relied on self-report data which can be subject to biases, including memory recall and social desirability. Secondly, the study employed a cross-sectional design, which did not allow for casual implications to be drawn from the results between the four different variables. Finally, there was a chance that out of those who received the survey request, those who demonstrated a greater degree of participation in betting activities were more interested in responding to the survey and resulted in a larger proportion of problem gamblers in the sample (Lopez-Gonzalez and Griffiths 2018).

A number of scholars in the gambling studies field have argued that structural characteristics of gambling, including activities with higher event frequencies, are associated with problem gambling (Griffiths and Auer 2013; Harris and Griffiths 2017). In short, those activities that can be gambled on continuously such as slot machines (which can have event frequencies of up to 30 times a minute on an online slot machine) tend to have a much higher association with problem gambling than activities such as a bi-weekly lotto game (with an event frequency of twice a week) (Griffiths and Auer 2013). In relation to in-play betting, Parke and Griffiths (2007) were the first scholars to speculate that in-play betting may contribute to prolonged, excessive, un-planned, or problem gambling due to (i) a growth in ‘perceived skill’ (through studying, analysing or spectating the betting event), (ii) chasing losses/winnings on the same or different sporting event by placing further bets during the event and (iii) by making the sporting event more stimulating or exciting.

Papers by Griffiths and Auer (2013) and Lopez-Gonzalez and Griffiths (2017) made a number of similar observations. Previously, bet duration (the time from placing the bet, until its settlement) was fixed. However, bet durations can now be amended via in-play cash out features (Lopez-Gonzalez and Griffiths 2017). In-play betting utilising cash out features have the potential to make sports bettors more vulnerable to cognitive bias (Lopez-Gonzalez and Griffiths 2017). In the past, sports betting was typically a discontinuous form of gambling with the vast majority of sports bettors gambling weekly on the outcome of a particular event (e.g., a football match). However, some papers have specifically argued that in-play betting and use of the cash out feature now allows sports betting to be a continuous form of gambling (Griffiths and Auer 2013; Lopez-Gonzalez and Griffiths 2017). This has radically changed the traditional sports betting market which was once a discontinuous (low-risk) gambling activity to a more continuous (high-risk) gambling activity. In-play sports bettors who experience gambling-related problems may feel more inclined to engage in less planned, impulsive, and immediate forms of gambling and the time between bet placement and the reward (or lack of) is greatly shortened (Parke and Griffiths 2007; Griffiths and Auer 2013).

A paper published by Lopez-Gonzalez and Griffiths (2017) is the only paper that explicitly discusses the implication of in-play cash out sports betting features. They suggested that one of the implications of cash out in relation to problem gambling is that there is a conception of gambling on sports as an investment, like that of trading on the stock market. This was then confirmed empirically showing that sports betting advertisements contribute to self-perceptions of bettors as specialists of sports, promoting game analysis to beat gambling companies (Lopez-Gonzalez et al., 2017a, b, c, d). The notion that the bettor can view themselves as a professional that can improve their probability of winning may serve as a motivating factor to gamble (Lopez-Gonzalez and Griffiths 2017). Problematic online bettors have been found to consider themselves to be semi-professional gambler, and in the case of horse racing bettors, they are more likely to self-report being a professional gambler (Hing et al., 2017a, b).

There have also been a couple of important position papers in the grey literature concerning in-play betting (see Table 2). The Department of Broadband, Communications and Digital Economy in Australia commissioned the Allen Consulting Group (2012) to provide advice on issues relating to in-play betting. At the time the report was produced, it stated that there was no academic literature on the prevalence of the in-play betting in Australia. The report noted that in-play betting had grown in popularity amongst the European betting industry, but this growth is not matched in Australia due to legal betting restrictions. Based on discussion with gambling providers, in Australia, it was reported that the amount of people using an in-play betting service is small, but still part of the gambling market (Australian Interactive Gambling Act 2001).

The UK Gambling Commission (2016) produced a report in order to set out their position in relation to in-play sports betting. Their position is considered in the context of the potential risk that in-play betting may pose to the three licensing objectives set out by the Gambling Act (2005). These are “(a) preventing gambling from being a source of crime or disorder, being associated with crime or disorder or being used to support crime, (b) ensuring that gambling is conducted in a fair and open way, and (c) protecting children and other vulnerable persons from being harmed or exploited by gambling.” (Gambling Act 2005, p. 19). One factor that the Gambling Commission considered was whether this particular gambling activity could be harmful. In 2009, the Gambling Commission previously reported that there was no evidence to suggest that in-play betting posed a greater specific risk of causing gambling-related hard than other forms of online gambling. In the 2016 report, they noted that since 2009, more research has been carried examining potential associations between in-play betting and gambling-related harm.

The Gambling Commission report (2016) suggested that there could be a greater risk of harm from gambling for those who participate in in-play sports betting compared to those who participate in other forms of gambling. The first example that the Gambling Commission provided was that in-play gambling provides the opportunity to place more frequent bets on the same event, and some research suggests that there is an association between this increased opportunity, or to be ‘rewarded’ with an increased chance of experiencing gambling problems (Griffiths 2012). Secondly, they cited Australian research from Hing et al. (2016) demonstrating an association between tendencies to place a higher number of in-play bets with an increased risk of harm from gambling. Finally, they cited figures from a Gambling Prevalence Report (Gambling Commission 2017) which indicated that 27.4% of online gamblers who bet in-play were classified as problem gamblers, compared to 10.9% of all online gamblers and 5.4% of online gamblers who do not bet in-play. Consequently, it was noted that those who bet in-play are at greater risk of harm from gambling than those who do not bet in-play. The report concluded that based on the evidence review, the UK’s current regulatory system of in-play betting was sufficient and that no further controls were required at the time of writing.

At the time of the present scoping review, three different online in-play betting features are currently being used by online sports bookmakers (cash out, ‘Edit my Acca’, and ‘Edit my Bet’). There are also two other features were identified that at the time of writing were in the process of being introduced and/or developed (‘Add 2 Bet’ and ‘betting using GPS tracking’). These features are described in detail below:

Of the 513 online sports betting websites reviewed, it was possible to access 338 of these at the time of carrying out the research. Reasons for not being able to access specific bookmaking sites included that the site was (i) no longer active, (ii) not possible to access from the UK due to betting regulations, or (iii) blocked for security reasons.

Of the 338 websites accessed, 88 of these (26%) offered at least one in-play betting feature (see Appendix Fig. 1). All 88 online gambling websites offered ‘full’ cash out on selected markets, and 29 of the websites also offered the option of ‘partial cash out’. Two websites offered ‘auto cash out’, where cash out ‘rules’ can be created with no further input from the bettor. Once a selected value reached, then the bet is automatically cashed out. Website accessibility determined by specific device type was categorised into two groups: (i) desktop (a computer that is suitable for use in one location) and (ii) mobile (a device that can be used on the move such as a smartphone, laptop or tablet). Three gambling websites only allowed cash out to be accessed via a desktop computer or laptop and one website via a mobile device only (e.g., a smartphone device, laptop, or tablet computer). A total of 77 sites offered the cash out facility via desktop or mobile device, and two sites allowed bets that were placed in a land-based betting shop to then be cashed out via a desktop or mobile device.

In terms of bet types that were able to be cashed out, the most commonly offered amongst those that provided in-play betting was single and accumulator bets (58 websites). An accumulator bet, also known as a multiple or parlay bet, is a single bet that links together more than one bet and is dependent on each individual bet being successful in order to result in an overall winning bet. Eight of the websites only allowed for single bets to be cashed out; one website stated that ‘all bet types’ could be cashed out, and 22 of the websites viewed did not explicitly state what bet types could be cashed out. In terms of named sports that were eligible for the cash out facility, football (soccer) was the most popular. Three of the sites only offered cash out to football bets, and 23 allowed football bets to be cashed out with a range of other sports available also. A majority of the websites visited that provided in-play betting (n = 54) did not explicitly state which sports cash out would be available for. In terms of market eligibility for cash out, for example ‘full time result, ‘number of goals’ and ‘both teams to score’, 58 websites did not explicitly state which markets were available for cash out, whereas 30 websites did. One sports betting operator (Ladbrokes) operated the in-play betting feature ‘Edit my Acca’ feature (described in the previous section), and one operator (Bet365) offered the in-play feature ‘Edit my Bet’ (also described in the previous section).

A strength of scoping studies includes rigorous and transparent method of mapping evidence covered in a given field (Davis et al., 2009). However, practical issues relating to time and the fluid nature of the research area being explored must be considered, as well as the issue concerning the ‘quality’ of data collected (such as the data collected via visiting online gambling websites). With regards to the present study, the scoping study method allowed the possibility of illustrating the field of in-play betting product availability. This was achieved by reviewing many online gambling websites. The research team viewed as many websites available as possible. However, all available gambling websites were not reviewed. In total, 338 out of the 513 gambling were visited. This was due mainly due to country legislations which blocked accessibility to multiple online gambling websites.

Only a small number of empirical studies were identified during this scoping review. There was a large reliance on behavioural tracking data which does not explain why people are engaged in such behaviours. Additional limitations of using behaviour tracking research are related to the ethical issues of using gamblers’ behaviour data without their awareness, and therefore, there is a lack of informed consent. This scoping study also identified very few self-report studies, and no studies employing other methodologies were identified (e.g., experimental studies, observational studies).

The aim of the present scoping study was to review the contemporary literature empirically investigating or theorising about in-play sports betting and collate information about in-play sports betting features available to gamblers within the online sports betting market. Understanding factors that determine in-play betting behaviour, including understanding the risk factors for problem gambling amongst in-play sports bettors, is an important area of research given the continuing growth of the online sports betting industry. Overall, the research suggests that this way of gambling has the potential to be more harmful than other ways of gambling (e.g., gambling on fixed odds) because of the inherent structural characteristics. However, to date, there has only been one study that explores online sports betting behaviours in the context of specific in-play betting features (i.e., Lopez-Gonzalez and Griffiths 2018).