Overtime: Long-Term Betting Trajectories Among Highly-Involved and Less-Involved Online Sports Bettors.

Online sports gambling involvement is discontinuous in nature, with small groups of highly involved gamblers exhibiting betting behavior that is distinctly greater than other gamblers. There is some question about whether these groups, defined by exceedingly high levels of play, also have equivalently high rates of gambling problems, and whether they maintain these play levels over time. The current study builds on past work by examining the long-term trajectories of play and voluntary self-exclusion patterns across two years among a cohort of 32,262 highly-involved and less-involved online sports gamblers. We also examine the relative importance of betting behavior change as a risk factor for gambling problems by testing whether high involvement as compared to escalation of involvement is a better predictor of future self-exclusion. Measures included betting activities, transactional activities, and self-exclusion activities on a European online betting platform between February 2015 and January 2017. Results showed that bettors who were most highly involved in the first 8 months of the study in terms of number of bets and net loss were more likely to continue gambling on the platform in months 9-24 than others. Bettors who were most highly involved in the first 8 months of the study in terms of net loss and amount wagered were more likely to use self-exclusion than others, and more likely to have multiple self-exclusions. Escalations in frequency of play and average bet size within the first 8 months emerged as significant predictors of self-exclusion, even when controlling for high involvement.

Second Session at the Virtual Poker Table: A Contemporary Study of Actual Online Poker Activity.

Technological advancements and worldwide television exposure led to a poker boom in the early 2000s, and poker (both live and online) has retained some of that popularity today. The present study examined online poker playing trends based on actual electronic betting records data for 2489 subscribers to a major global internet gambling operator from 2015 to 2017. We found that overall financial involvement (median total overall spend: €439.7) and time commitment (median number of sessions: 43) during the two-year study period were relatively moderate. We identified the top 1% by total overall spend as a subgroup of highly involved players with disproportionately higher financial involvement (median total overall spend: €272,581.4) and time commitment (median number of sessions: 1149). Our results were similar to those reported in LaPlante et al.'s (Comput Hum Behav 25(3):711-717, 2009. https://doi.org/10.1016/j.chb.2008.12.027 ) study of online poker betting records, suggesting that players' levels of involvement are similar to those from ten years ago despite numerous changes to the online poker environment. We also analyzed records of deposits and withdrawals, and we observed similar indicators of moderate gambling behavior within the overall sample (median two-year total amount deposited: €176.4). In contrast to popular beliefs about internet gambling, in our sample, most online poker play was arguably moderate. However, a small percentage of highly involved players play poker at extreme levels and require closer scrutiny.

Examining Player Engagement with and Attitudes Toward a Gambling Play Management System.

Play management systems are prevention tools designed to help people who gamble avoid intemperate gambling outcomes by staying within predetermined budgets. This study examined gaming patrons' reported use of and attitudes towards the PlayMyWay play management system. We report upon the results of a survey of 1951 Marquee Rewards cardholders, including 153 individuals who were currently or previously enrolled in PlayMyWay. Users who did not enroll in PlayMyWay, despite knowing about it, typically said they did so because they believed that they did not need reminders and warnings about gambling. Although PlayMyWay users generally found the system easy to use, most reported that they paid little attention to notifications and tended to react negatively to them. Users who screened positive on the Brief Biosocial Gambling Screen were more likely to un-enroll from PlayMyWay, were less likely to report that they heeded notifications, and were more likely to respond negatively to notifications than users who screened negative. To improve the efficacy of PlayMyWay and similar play management systems, we recommend enhancing or adjusting on-machine messaging and highlighting additional features, such as play-tracking mechanisms, which could help to emphasize the idea that budget self-tracking is for everyone, not just people who might have gambling-related problems. Future research on play management systems should attempt to understand how to make budget compliance aspects of play management more effective.

Understanding the Relation Between Social Behaviors and Daily Fantasy Sports Risk Behavior.

In daily fantasy sports (DFS) contests, participants form a roster of athletes scheduled to perform in a pre-determined list of sporting contests or games. Each participant has the opportunity to win cash prizes, depending on the performance of the athletes on their roster and the performances of the athletes on the other participants' rosters. Some contests have higher variances than others (i.e., lower percentages of participants winning and higher payouts versus higher percentages of participants winning and lower payouts) and can be considered riskier propositions. DFS operators have mechanisms for interacting with friends on their servers (e.g., referral programs and incentives, friend lists, private contests). To determine whether use of these mechanisms (i.e., social behavior) was associated with preference for higher variance contests (i.e., risk behavior), we analyzed player records (N = 11,130) from a DFS service. We constructed a measure of risk behavior, player risk score, that is based on DFS contests' entry fees and payout structures. We observed that players referred to the DFS service by a friend and those who had a reciprocal friendship had similar player risk scores. However, those who referred a friend, both generally and among players with reciprocal friendships, were more likely than others to have greater player risk scores, and greater numbers of friend referrals also was associated with higher player risk scores. Although the observed effect sizes were small, the results point to a possible relationship between referring others to play and risk activity. Future research should assess how these small effects interact with other behaviors and motivations associated with DFS play, like playing to escape or playing to earn/win money. It also should examine the temporal relationships between refer-a-friend program participation and risk content choices.

Already at the Table: Patterns of Play and Gambling Involvement Prior to Gambling Expansion.

During 2011, the Governor of Massachusetts signed a bill to allow casino gambling in the state (Commonwealth of Massachusetts 2011). As a result, two resort casinos will begin operations during 2018 and 2019; a smaller slots parlor began operations during June 2015. Prior to this expansion, gambling was widely available in Massachusetts, through the state lottery, off-track betting, and gambling opportunities available in neighboring states. Within this context, it is important to understand the patterns of gambling involvement in the population prior to gambling expansion. The current study examined gambling involvement, patterns of play, and gambling-related problems prior to gambling expansion among a sample of 511 Massachusetts residents who were members of a statewide Internet panel. To measure patterns of play, we asked questions about past-year games played and frequency of play. To measure breadth of involvement, we assessed the number of different games played. To measure depth of involvement, we measured time spent gambling, amount wagered, and amount won or lost. Principal component analysis revealed four play pattern components accounting for more than 50% of the variance in game play frequency. Multiple regression analyses revealed that component scores composed of casino gambling and skill-based gambling (e.g., poker, sports) variables uniquely contributed to the prediction of gambling-related problems, even when depth of involvement was controlled. However, the addition of breadth of involvement to the model resulted in a model where no set of variables contributed significantly, suggesting a complex relationship among play patterns, depth, and breadth of involvement. The study established discrete and distinguishable gambling play patterns associated with gambling-related problems and identified groups of individuals potentially vulnerable to the effects of gambling expansion.

Devil in the Details: A Critical Review of "Theoretical Loss".

In their review of Internet gambling studies, Auer and Griffiths (J Gambl Stud 30(4), 879-887, 2014) question the validity of using bet size as an indicator of gambling intensity. Instead, in that review and in a response (Auer and Griffiths, J Gambl Stud 31(3), 921-931, 2015) to a previous comment (Braverman et al., J Gambl Stud 31(2), 359-366, 2015), Auer and Griffiths suggested using "theoretical loss" as a preferable measure of gambling intensity. This comment extends and advances the discussion about measures of gambling intensity. In this paper, we describe previously identified problems that Auer and Griffiths need to address to sustain theoretical loss as a viable measure of gambling intensity and add details to the discussion that demonstrate difficulties associated with the use of theoretical loss with certain gambling games.

Using Opinions and Knowledge to Identify Natural Groups of Gambling Employees.

Gaming industry employees are at higher risk than the general population for health conditions including gambling disorder. Responsible gambling training programs, which train employees about gambling and gambling-related problems, might be a point of intervention. However, such programs tend to use a "one-size-fits-all" approach rather than multiple tiers of instruction. We surveyed employees of one Las Vegas casino (n = 217) and one online gambling operator (n = 178) regarding their gambling-related knowledge and opinions prior to responsible gambling training, to examine the presence of natural knowledge groups among recently hired employees. Using k-means cluster analysis, we observed four natural groups within the Las Vegas casino sample and two natural groups within the online operator sample. We describe these natural groups in terms of opinion/knowledge differences as well as distributions of demographic/occupational characteristics. Gender and language spoken at home were correlates of cluster group membership among the sample of Las Vegas casino employees, but we did not identify demographic or occupational correlates of cluster group membership among the online gambling operator employees. Gambling operators should develop more sophisticated training programs that include instruction that targets different natural knowledge groups.

A large-scale prospective study of big wins and their relationship with future financial and time involvement in actual daily fantasy sports contests.

OBJECTIVE: Early big wins might have a psychological impact upon gamblers that increases their likelihood of intemperate gambling; however, there has been a paucity of empirical research examining this effect using actual gambling data. METHOD: We assessed the effects of daily fantasy sports (DFS) big wins on subsequent play by analyzing a prospective dataset from a major DFS provider (N = 34,596 DFS subscribers) representing over 18 million entries into DFS contests. RESULTS: We found that experiencing a big win in DFS is associated with subsequently increased DFS engagement (i.e., increased contest entry fees and contest entries) and losses (i.e., higher net loss). However, the effect of a big win on engagement and losses decays over time. Whereas theorists have highlighted the effects of early big wins, our analyses indicated that later big wins had a relatively stronger effect on DFS engagement. Sensitivity analyses confirmed the robustness of most results, with somewhat greater support for big wins' effects on engagement metrics than losses. CONCLUSION: Our results collectively indicate the existence of a big win effect in DFS. For some players, big wins might instill unrealistic expectations about future probabilities of winning and lead to increased-and potentially excessive-engagement. Explanations from cognitive psychology (e.g., the illusion of control) and behavioral psychology (e.g., operant conditioning) might help to explain the big win effect. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Changes to the playing field: A contemporary study of actual European online sports betting.

BACKGROUND AND AIMS: Online sports wagering is a popular and still growing gambling activity around the world. Like other types of gambling, it can lead to problems that include devastating financial, social, and health-related harms. The first analysis of actual online sports wagering activity (LaBrie et al., 2007) suggested that levels of financial and time involvement were more moderate than anticipated from earlier self-report studies. However, these findings are now more than a decade old. METHODS: The current study examined actual online sports wagering activity of a similar cohort of 32,262 gamblers who subscribed to a European online betting platform in February 2015 to understand how sports betting might have changed in ten years. Measures included subscriber characteristics, betting activities, and transactional activities. RESULTS: Players placed a median of 15 bets during the 8-month study period, made a median of 2.5 bets per betting day, had a median bet size of 6.1 euros, and experienced a median net loss of 25 euros. We were able to distinguish highly involved bettors in the top 2% of total wagered, net loss, and number of bets, whose behavior differed from that of the rest of the sample. DISCUSSION AND CONCLUSIONS: Sports wagering behavior has remained relatively stable over time despite legislative changes and an increase in popularity, with a small subset of subscribers exhibiting disproportionately high engagement, transactional activity, and in-game betting. Further investigation of individual trajectories of wagering behavior and engagement with different types of sports wagering products is merited.

Accuracy of self-reported versus actual online gambling wins and losses.

This study is the first to compare the accuracy of self-reported with actual monetary outcomes of online fixed odds sports betting, live action sports betting, and online casino gambling at the individual level of analysis. Subscribers to bwin.party digital entertainment's online gambling service volunteered to respond to the Brief Bio-Social Gambling Screen and questions about their estimated gambling results on specific games for the last 3 or 12 months. We compared the estimated results of each subscriber with his or her actual betting results data. On average, between 34% and 40% of the participants expressed a favorable distortion of their gambling outcomes (i.e., they underestimated losses or overestimated gains) depending on the time period and game. The size of the discrepancy between actual and self-reported results was consistently associated with the self-reported presence of gambling-related problems. However, the specific direction of the reported discrepancy (i.e., favorable vs. unfavorable bias) was not associated with gambling-related problems.