Could AI be used to generate questions from a database input? I confront to the next scenario:

Let's say I have stored data about football matches between different teams: lineups, scorers, yellow cards, and many other events.
I need to generate everyday some questions about the matches that will be played on that day. So, if I give an input of two teams, I would like a related question to be generated, based on previous data of matches between those two teams.
For example, if my input are &quot;TeamA&quot; and &quot;TeamB&quot;, I would expect a question of the type:

&quot;Will there be less than 2 goals scored in the match?&quot;&quot;

&quot;Will PlayerX score a goal during the match?&quot;


Of course I expect these questions to make sense based on previous data from matches between the two given teams.

So, my questions are:

Would be a good solution to use AI to generate these questions? It would make sense?
What would be the best approach?
One simple approach to consider would be storing each statement as a template made in advance.


Will there be less/more than x goals scored in the match?
Will player score a goal during the match?
...


The system will pick a random statement and will fill the variable fields with some statistically generated data between teamA and teamB; here you have your question.



Example: Will there be less/more than x goals scored in the match?


less/more fragment may be random
x may be the mean of the goals scored considering all the matches between teamA and teamB




Example: Will player score a goal during the match?


player may be a random choice between the top-goalscorer of teamA or teamB