The Ranking on Dashboard Metrics data appears below, and shows that the MoS Win Production Function continues to output expected wins data strongly correlated with reality.

Other metrics that are strongly positively correlated with ladder position are:

Points conceded
Goals conceded
Quarters won
Points scored
Goals scored
Scoring Shots generated
Scoring Shots conceded

Those metrics that are less strongly positively correlated with ladder position are:

Own Scoring Shot Conversion
Opponent Scoring Shot Conversion
Q1 Performances
Q3 Performances

The full Team Dashboard appears below and shows that, amongst other things:

Port Adelaide have converted only 41% of their scoring shots into goals, but allowed their opponents to convert at around 62% - a massive 21% point differential
Geelong aren’t that much better having converted at 50% but allowed their opponents to convert at 65%
Conversely, Sydney has converted at 66% but allowed their opponents to convert at only 46%, which is a +20% point differential
Fremantle are yet to lose a Q1 or Q4
Melbourne are yet to lose a Q1 or Q3
St Kilda are yet to lose a Q3
Adelaide are yet to win a Q1
West Coast are yet to win a Q2
Carlton and Essendon are yet to win a Q3
GWS and North Melbourne are yet to win a Q4
North Melbourne have scored 61% of their points in the 1st half of games
Carlton have scored 62% of their points in the 1st half of games (and only 13% in Q3s)
GWS have scored 60% of their points in the 1st half of games
Collingwood have scored only 14% of their points in Q4s
Fremantle, who are 3rd on the ladder, have scored fewer goals than eight of the teams directly below them and the same number of goals as a ninth (Gold Coast)
Essendon, in 16th, have scored only four goals fewer than Melbourne, in 1st