This study suggests there may be links between playing predictor games and gambling harms through increased frequency of online sports gambling, particularly amongst already vulnerable groups. In multivariate analysis, after controlling for sociodemographics and PGSI group, those who played predictor games were 2.80 (1.65–4.74 p < 0.001) times more likely to engage in high frequency online sports gambling than those who did not play predictor games. In bivariate analysis, there was a significant graded relationship between playing predictor games and PGSI group ( p < 0.001), with predictor game playing most prevalent among those with problem gambling 76.9%. In bivariate analyses, there was an association between predictor game playing and age ( p = 0.019), with predictor game playing most prevalent in the age group 18–24 years 51.8%. Predictor games were played by 45.8% of all participants. Bivariate analyses using X 2, and multivariate analyses using binary logistic regressions were carried out.

The Problem Gambling Severity Index (PGSI) tool was used to determine existence of at-risk and problem gambling. The survey asked questions about sociodemographics, gambling behaviours and predictor game playing behaviours. MethodsĪn online survey using a convenience sample was completed by males aged 18 + years, living in the United Kingdom, and having participated in any gambling activity in the past year (n = 384). This study aimed to describe associations between playing predictor games and online sports betting behaviours, and problem gambling.

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