  In this paper we apply survival techniques to soccer data, treating a goal
scoring as the event of interest. It specifically concerns the relationship
between the time of the first goal in the game and the time of the second goal.
In order to do so, the relevant survival analysis concepts are readjusted to
fit the problem and a Cox model is developed for the hazard function.
Attributes such as time dependent covariates and a frailty term are also being
considered. We also use a reliable propensity score to summarize the pre-game
covariates. The conclusions derived from the results are that a first goal
occurrence could either expedite or impede the next goal scoring, depending on
the time it was scored. Moreover, once a goal is scored, another goal scoring
become more and more likely as the game progresses. Furthermore, the first goal
effect is the same whether the goal was scored or conceded.
