You probably already are aware that in each game the sum of all 44 players SC scores adds to 3,300 give or take a couple of points. However if one totals all of the pure points that players are rewarded for each action they are involved in it will often be miles off the 3,300 figure. So in the Roughead game above the total for Swans and Hawks players must have come to around 5,500. Hence the '3300 point multiplier' in this case was 0.60
What is interesting is that the algorithm is constantly guessing throughout the game what the final total points will likely be, hence the '3300 multplier' factor is being shown immediately and constantly adjusting. This likely explains the reasoning why in Bontempele and Erich's observations, in their great knowledge of the scoring system, say that most of the points allocated for an individual act are a bit less than what the starting point allocation in the tables earlier in this thread that CD have stated. As the algorithm probably starts around the 0.7 figure.
Further its is one of many explanations in the wide variance between players scores in different games. Let's assume in the very rare instance that Player A in game A has the exact same number and type of acts in a game as Player B in game B. So exactly the same number of hard ball gets, effective and ineffective long & short kicks and handballs, tackles, 1%ers and all of the others measures that CD don't even tell us about. So both have and identical raw score of 200. Players A's '3300 multiplier' is 0.5 meaning that he scores 100. Player B's '3300 multiplier' is 0.70 meaning he scores 140.
That's a massive 40 point difference for identical statistical performances!! The only difference being the number of pure SC points the other 43 players in both games achieved. Then if one was to factor in the 'state of the game' multiplier, so say the majority of Player B's points occurred when the game was on the line, whereas Player A had a lot of his points come in junk time; that 40 point difference would blow out to be even larger!
Yet we punters like to look at just a few key stats and wonder why the scores are so different, when we are barely even scratching the surface.