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:

• Percent of Quarters Won (+0.87)

• The MoS Win Production Function (+0.84)

• Own Points per Game (+0.81)

• Own Goals per Game (+0.81)

• Q3 Performances (+0.79)

• Own Scoring Shots per Game (+0.78)

Least highly correlated are:

• Own Scoring Shot Conversion (+0.35)

• Q2 Performances (+0.4)

• Opponent Scoring Shots per Game (+0.41)

• Opponent Scoring Shot Conversion (+0.43)

Overall, arguably, the the Western Bulldogs’ and Essendon’s rankings look least congruent with their ladder positions, especially when you look at what the MoS Win Production Function suggests for their expected win rates given their scoring statistics.

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:

• Percent of Quarters Won (+0.89)

• Own Points per Game (+0.87)

• The MoS Win Production Function (+0.86)

• Own Goals per Game (+0.85)

• Own Scoring Shots per Game (+0.79)

• Q3 Performances (+0.74)

Least highly correlated are:

• Own Scoring Shot Conversion (+0.34)

• Q2 Performances (+0.42)

• Opponent Scoring Shot Conversion (+0.49)

Overall, arguably, the the Western Bulldogs’ rankings look least congruent with their ladder position, although Essendon still has legitimate claims, too.

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).

• Percent of Quarters Won (+0.93)

• The MoS Win Production Function (+0.92)

• Own Points per Game (+0.89)

• Own Goals per Game (+0.87)

• Own Scoring Shots per Game (+0.86)

• Q3 Performances (+0.85)

• Opponent Points per Game (+0.72)

• Opponent Goals per Game (+0.70)

Least highly correlated are:

• Opponent Scoring Shot Conversion (+0.41)

• Own Scoring Shot Conversion (+0.48)

Overall, arguably, the the Western Bulldogs’ rankings look least congruent with their ladder position, although Essendon and maybe Carlton have legitimate claims, too.

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 Points per Game (+0.93)

• Own Scoring Shots per Game (+0.88)

• Own Goals per Game (+0.88)

• Percent of Quarters Won (+0.86)

• Q3 Performances (+0.80)

Least highly correlated are:

• Opponent Scoring Shot Conversion (+0.28)

• Q2 performances (+0.40)

• Opponents’ Scoring Shots per Game (+0.43)

• Own Scoring Shot Conversion (+0.48)

Overall, the Brisbane Lions’ rankings look least congruent with their ladder position. North Melbourne’s statistics are pretty wild: 14th to 18th on every metric except Own Scoring Shot Conversion where they’re 1st.

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 (+0.95)

• Own Goals per Game (+0.90)

• Own Points per Game (+0.90)

• Own Scoring Shots per Game (+0.89)

• Percent of Quarters Won (+0.89)

• Q3 Performances (+0.73)

• Opponent Scoring Shots per Game (+0.70)

Least highly correlated are:

• Opponent Scoring Shot Conversion (+0.14)

• Own Scoring Shot Conversion (+0.32)

• Q4 performances (+0.49)

Overall, the Brisbane Lions’ and possibly St Kilda’s 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 (+0.89)

• 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.