For the purposes of this symposium, the task of shooting a moving ball into a goal with a single learning agent in a multi-agent setup is interesting for the opportunities to create multi-agent learning scenarios that it provides. Although players must first learn low-level skills, soccer is inherently a multi-agent task: a team of the best-skilled individual players in the world would be easily beaten if they could not work together. Similarly, an unskilled team that can find and exploit a weakness of a better team, will often be able to prevail. The shooting template can be extended to include both of these higher-level aspects of soccer: cooperative and adversarial.