The latest Rankings on Dashboard Metrics graphic appears below, and reveals that team rankings on the following metrics are most highly correlated with ladder position (noting that I order the ladder based on Competition Points per Game and then Percentage, which differs from what you’ll see on the AFL and other sites).

• The MoS Win Production Function (+0.89)

• Own Points per Game (+0.88)

• Quarters Won (+0.87)

• Own Scoring Shots per Game (+0.86)

• Own Goals per Game (+0.83)

• Q3 Performances (+0.76)

• Opponent Points per Game (+0.68)

Least highly correlated are:

• Opponent Scoring Shot Conversion (+0.31)

• Q4 performances (+0.44)

Overall, the Brisbane Lions’ rankings look least congruent with their ladder position.

The latest Rankings on Dashboard Metrics graphic appears below, and reveals that team rankings on the following metrics are most highly correlated with ladder position (noting that I order the ladder based on Competition Points per Game and then Percentage, which differs from what you’ll see on the AFL and other sites).

• The MoS Win Production Function (+0.93)

• Own Scoring Shots per Game (+0.86)

• Quarters Won (+0.86)

• Own Goals per Game (+0.81)

• Own Points per Game (+0.80)

• Opponent Goals per Game (+0.79)

• Opponent Points per Game (+0.77)

• Q3 Performances (+0.76)

Least highly correlated are:

• Q2 performances (+0.42)

• Q4 performances (+0.44)

• Q1 performances (+0.45)

• Opponent Scoring Shot Conversion (+0.47)

Here is the latest Rankings on Dashboard Metrics graphic, which still really doesn’t tell much of a story.

(Note that I order the ladder based on Competition Points per Game and then Percentage, which differs from what you’ll see on the AFL and other sites).

Here, firstly, is the Rankings on Dashboard Metrics graphic, which really doesn’t tell much of a story after only 13 games. We’ll talk more about it in the weeks to come.