  From the gambling logs of an online lottery game we extract the probability
distribution of various quantities (e.g., bet value, total pool size, waiting
time between successive gambles) as well as related correlation coefficients.
We view the net change of income of each player as a random walk. The mean
squared displacement of these net income random walks exhibits a transition
between a super-diffusive and a normal diffusive regime. We discuss different
random walk models with truncated power-law step lengths distributions that
allow to reproduce some of the properties extracted from the gambling logs.
Analyzing the mean squared displacement and the first-passage time distribution
for these models allows to identify the key features needed for observing this
crossover from super-diffusion to normal diffusion.
