making logical inference from a simuation generated data

I have data collected from a computer simulation of football games which seem to have recurring patterns of the following form.

if madrid plays arsernal and the match ends under 3 goal, then on their next match against each others, madrid will win. if madrid happens to loose and then plays against chelsea next, they will win 90% of the time.

how do I find such inferences from simulation generated data like this. There are other forms of hidden patterns that I believe exists in the dataset.

Topic data-mining machine-learning

Category Data Science

1
answered at

Define a specific environmental state (e.g., madrid plays arsernal and the match ends under 3 goal), then run the simulation many times each time with a random seed. The result will be a distribution of simulated outcomes. Summary statistics can be computed on the distribution of outcomes.

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