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In this paper, we examine how the execution context of grid jobs can help to refine submission strategies on a production grid. On this kind of infrastructure, the latency highly impacts performances. We present experiments that quantify the dependencies between the grid latency and both internal and external context parameters on the EGEE grid infrastructure. We show how job submission managers, job execution sites and the submission date can be statistically correlated to grid performances.