In theory, with accurate passing / historical data you could build out strategies that could translate to the real world from this setting. Football has two par

In theory, with accurate passing / historical data you could build out strategies that could translate to the real world from this setting. Football has two parts to it, one being the strategy aspect of moving the ball and beating the opposition position, and the other of actually executing these instructions physically. While the Google framework lacks on the latter (no sports simulation game is really close to the real world in terms of player models), the former can probably be learnt via RL, and maybe open itself to some neat counters to traditionally established strategy.