ASAP

According to this article, one can make due that Patrick Mahomes has a probability of winning an MVP at 0.5555555556 by having 30/54. How can one finish the other MVP probabilities? How can you find the others if the method is their position multiplied by his team's chances of winning?
https://en. wikipedia. org/wiki/Super_Bowl_Most_Valuable_P layer_Award

Stage one: Assuming randomness (which is technically wrong, but c'est la vie), find the historical (experimental) probability that a given position wins the MVP of the super bowl. A list of winners is on Wikipedia which is acceptable for this project. There have been 54 super bowls so far, so your probabilities will be out of 54.

Find the experimental probability that a QB wins the MVP:
A running back (RB):
A wide receiver (WR): (Consider Desmond Howard to be a WR)
A tight end (TE): (this one's pretty easy)
A defensive player (DEF):
Once you figure out each probability, go on to stage two.