Below is the latest Ranking on Dashboard Metrics table, which now suggests that both Collingwood and St Kilda are unlucky to not be in the Top 10, and that the Dogs and Roos are perhaps lucky to be there.

(Note that byes still mean we revert to Match Ratio and then percentage to determine ladder positions.)

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.89

• Own Goals per Game: +0.85

• Own Points per Game: +0.85

• Q2 Performances: +0.8

• Own Scoring Shots per Game: +0.77

• Percentage of Quarters Won: +0.72

Those least rank correlated with ladder position are:

• Opponent Scoring Shot Conversion: +0.34

• Q4 Performances: +0.4

• Q1 Performances: +0.43

It been a while since I can remember Percentage of Quarters Won not being very highly correlated with ladder position, underscored by the very low correlation between Q4 and Q1 performances and ladder position.

This season so far, for the most part, the game is being won and lost in the middle quarters.

Below is the latest Ranking on Dashboard Metrics table, which continues to show that St Kilda are unlucky to not be in the Top 10, and that the Dogs still perhaps are undeservedly taking their places.

(Note that byes still mean we revert to Match Ratio and then percentage to determine ladder positions.)

The metrics currently most rank correlated with ladder position are:

• Own Goals per Game: +0.91

• MoS Win Production Function: +0.91

• Own Points per Game: +0.90

• Own Scoring Shots per Game: +0.85

• Q2 Performances: +0.83

• Percentage of Quarters Won: +0.80

• Q3 Performances: +0.71

Those least rank correlated with ladder position are:

• Opponent Scoring Shot Conversion: +0.30

• Q4 Performances: +0.38

Below is the latest Ranking on Dashboard Metrics table, which shows that St Kilda are still unlucky to not be in the Top 10, with the Dogs still perhaps undeservedly taking their places.

(Note that byes still mean we revert to Match Ratio and then percentage to determine ladder positions.)

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.86

• Own Goals per Game: +0.86

• Own Points per Game: +0.86

• Percentage of Quarters Won: +0.82

• Own Scoring Shots per Game: +0.81

• Q2 Performances: +0.76

Those least rank correlated with ladder position are:

• Q4 Performances: +0.37

• Opponent Scoring Shot Conversion: +0.37

Below is the latest Ranking on Dashboard Metrics table, which shows that St Kilda are still unlucky to not be in the Top 10, with the Dogs still perhaps undeservedly taking their places.

(Note that byes have meant we again revert to Match Ratio and then percentage to determine ladder positions.)

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.86

• Own Goals per Game: +0.84

• Own Scoring Shots per Game: +0.83

• Own Points per Game: +0.83

• Percentage of Quarters Won: +0.82

• Q2 Performances: +0.74

Those least rank correlated with ladder position are:

• Q4 Performances: +0.18

• Opponent Scoring Shot Conversion: +0.4

Below is the latest Ranking on Dashboard Metrics table, which shows that St Kilda are unlucky to not be in the Top 10, with the Dogs perhaps undeservedly taking their places.

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.93

• Percentage of Quarters Won: +0.86

• Own Scoring Shots per Game: +0.85

• Own Points per Game: +0.84

• Own Goals per Game: +0.81

• Q2 Performances: +0.79

• Q3 Performances: +0.72

Those least rank correlated with ladder position are:

• Q4 Performances: +0.3

• Q1 Performances: +0.42

• Opponent Scoring Shot Conversion: +0.45

Below is the latest Ranking on Dashboard Metrics table, which shows that Port Adelaide are unlucky to not be in the Top 10, with the Dogs perhaps undeservedly taking their places.

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.93

• Own Points per Game: +0.91

• Own Goals per Game: +0.89

• Own Scoring Shots per Game: +0.89

• Percent of Quarters Won: +0.88

• Q2 Performances: +0.79

• Q3 Performances: +0.74

Those least rank correlated with ladder position are:

• Q4 Performances: +0.37

• Q1 Performances: +0.47

Below is the latest Ranking on Dashboard Metrics table, which shows that St Kilda and Port Adelaide are unlucky to not be in the Top 10, with the Dogs and Pies perhaps undeservedly taking their places.

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.87

• Own Scoring Shots per Game: +0.86

• Percent of Quarters Won: +0.86

• Own Points per Game: +0.86

• Own Goals per Game: +0.85

• Q2 Performances: +0.75

• Opponent Scoring Shots per Game: +0.74

• Q3 Performances: +0.73

Those least rank correlated with ladder position are:

• Opponent Scoring Shot Conversion: +0.44

• Own Scoring Shot Conversion: +0.44

• Q4 Performances: +0.47

Below is the latest Ranking on Dashboard Metrics table, which shows that Port Adelaide remain unlucky to not be in the Top 10, with Melbourne perhaps undeservedly taking their places.

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.94

• Percent of Quarters Won: +0.89

• Own Points per Game: +0.87

• Own Scoring Shots per Game: +0.87

• Own Goals per Game: +0.87

• Q2 Performances: +0.78

• Opponent Points per Game: +0.77

• Opponent Scoring Shots per Game: +0.76

• Opponent Goals per Game: +0.74

• Q3 Performances: +0.73

Those least rank correlated with ladder position are:

• Opponent Scoring Shot Conversion: +0.44

• Own Scoring Shot Conversion: +0.48

• Q1 Performances: +0.49

Below is the latest Ranking on Dashboard Metrics table, which shows that Port Adelaide and St Kilda are unlucky to not be in the Top 10, with Melbourne and Western Bulldogs perhaps undeservedly taking their places.

The metrics currently most rank correlated with ladder position are:

• Percent of Quarters Won: +0.91

• MoS Win Production Function: +0.89

• Own Points per Game: +0.85

• Own Goals per Game: +0.83

• Own Scoring Shots per Game: +0.79

• Opponent Scoring Shots per Game: +0.75

• Opponent Points per Game: +0.74

• Opponent Goals per Game: +0.71

Those least rank correlated with ladder position are:

• Opponent Scoring Shot Conversion: +0.42

• Own Scoring Shot Conversion: +0.43

(Note that Sydney is now in the Top 4 on every metric)

Below is the latest Ranking on Dashboard Metrics table, which shows that the teams currently in the Top 10 motly deserve to be there based on the metrics shown here, with the possible exception of Melbourne who might be replaced by Port Adelaide.

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.93

• Percent of Quarters Won: +0.89

• Own Points per Game: +0.87

• Own Goals per Game: +0.82

• Own Scoring Shots per Game: +0.81

• Opponent Scoring Shots per Game: +0.77

• Opponent Points per Game: +0.72

• Opponent Goals per Game: +0.7

Those least rank correlated with ladder position are:

• Opponent Scoring Shot Conversion: +0.34

• Own Scoring Shot Conversion: +0.44

(Note that Sydney, remarkably, is in the Top 3 on every metric)

Below is the latest Ranking on Dashboard Metrics table, which shows that the teams currently in the Top 10 still deserve to be there based on the metrics shown here, with the possible exception of Melbourne who might be replaced by Adelaide.

The metrics currently most rank correlated with ladder position are:

• MoS Win Production Function: +0.95

• Own Scoring Shots per Game: +0.88

• Own Points per Game: +0.88

• Own Goals per Game: +0.83

• Percent of Quarters Won: +0.77

• Opponent Scoring Shots per Game: +0.74

Those least rank correlated with ladder position are:

• Opponent Scoring Shot Conversion: +0.26

• Own Scoring Shot Conversion: +0.43

• Q1 Performances: +0.43

• Q4 Performances: +0.46

• Q2 and Q3 Performances: +0.48

Below is the latest Ranking on Dashboard Metrics table, which shows that the teams currently in the Top 10 deserve to be there based on the metrics shown here (note that I order teams based firstly on the percentage of available competition points they have accrued and then on percentage).

Outside the 10, Adelaide is the only team with metrics that would also justify a spot for them, albeit probably only in 10th.

The metrics currently most rank correlated with ladder position are:

• Own Points per Game: +0.94

• MoS Win Production Function: +0.94

• Own Goals per Game: +0.93

• Percent of Quarters Won: +0.89

• Own Scoring Shots per Game: +0.84

• Opponent Scoring Shots per Game: +0.8

• Opponent Points per Game: +0.78

Those least rank correlated with ladder position are:

• Opponent Scoring Shot Conversion: +0.31

• Q4 Performances: +0.44

Below is the Ranking on Dashboard Metrics table after Round 3.

Next week we’ll start looking at what it’s revealing.

Below is the Ranking on Dashboard Metrics table after Round 2.

It’s still too early to draw any meaningful conclusions from it.

Below is the Ranking on Dashboard Metrics table after Round 1.

It is far too early to suggest that the sample is in sufficiently for us to draw any meaningful conclusions from this table.

Below is the final Ranking on Dashboard Metrics table for the season.

The metrics currently most rank correlated with ladder position are:

• Opponent Goals per Game: +0.92

• Opponent Points per Game: +0.91

• Opponent Scoring Shots per Game: +0.89

• MoS Win Production Function: +0.89

• Percent of Quarters Won: +0.86

• Q1 Performances: +0.85

• Own Points per Game: +0.84

• Own Scoring Shots per Game: +0.83

• Own Goals per Game: +0.81

• Q4 Performances: +0.8

• Q2 Performances: +0.79

The only metric that is rank correlated less than +0.5 with ladder position is

• Opponent Conversion Rate: +0.42

You might summarise success in the home and away season then as being about:

• Defensive ability

• Good starts

Below is the latest Ranking on Dashboard Metrics table (note that I order teams based firstly on the percentage of available competition points they have accrued and then on percentage).

The metrics currently most rank correlated with ladder position are:

• Opponent Goals per Game: +0.93

• Opponent Points per Game: +0.92

• MoS Win Production Function: +0.9

• Opponent Scoring Shots per Game: +0.88

• Q1 Performances: +0.87

• Percent of Quarters Won: +0.86

• Own Scoring Shots per Game: +0.85

• Own Points per Game: +0.84

• Q4 Performances: +0.82

• Own Goals per Game: +0.81

• Q2 Performances: +0.75

The only metric that is currently rank correlated less than +0.5 with ladder position is

• Opponent Conversion Rate: +0.43Own Scoring Shots per Game: +0.82

• Q4 Performances: +0.81

• Q2 Performances: +0.75

• Q3 Performances: +0.71

No metric is currently rank correlated less than +0.5 with ladder position.

Below is the latest Ranking on Dashboard Metrics table (note that I order teams based firstly on the percentage of available competition points they have accrued and then on percentage).

The gulf between the Top and Bottom 9 remains a feature and, after this week’s results, the average all-metrics rankings of the Top 9 teams range from Adelaide’s 2.1 to Fremantle’s 8.4, while those of the Bottom 9 range from Sydney’s 11.3 to West Coast’s 17.2.

The metrics currently most rank correlated with ladder position are:

• Opponent Goals per Game: +0.93

• Opponent Points per Game: +0.91

• Opponent Scoring Shots per Game: +0.89

• Q1 Performances: +0.88

• MoS Win Production Function: +0.87

• Percent of Quarters Won: +0.87

• Own Points per Game: +0.85

• Own Goals per Game: +0.82

• Own Scoring Shots per Game: +0.82

• Q4 Performances: +0.81

• Q2 Performances: +0.75

• Q3 Performances: +0.71

No metric is currently rank correlated less than +0.5 with ladder position.

Below is the latest Ranking on Dashboard Metrics table, which continues to highlight a sizeable gap between the top 9 and bottom 9 teams when looking across all metrics (note that I order teams based firstly on the percentage of available competition points they have accrued and then on percentage).

To quantify this schism, I’d note that the average all-metrics rankings of the Top 9 teams range from Adelaide’s 2.1 to Fremantle’s 7.7, while those of the Bottom 9 range from Sydney’s 11.1 to West Coast’s 17.1.

The metrics currently most rank correlated with ladder position are:

• Opponent Goals per Game: +0.92

• Opponent Scoring Shots per Game: +0.92

• Opponent Points per Game: +0.91

• Percent of Quarters Won: +0.9

• MoS Win Production Function: +0.89

• Own Points per Game: +0.83

• Q1 Performances: +0.83

• Own Scoring Shots per Game: +0.82

• Own Goals per Game: +0.81

• Q3 Performances: +0.79

That least rank correlated with ladder position is:

• Opponent Scoring Shot Conversion: +0.49

Below is the latest Ranking on Dashboard Metrics table, which continues to highlight a sizeable gap between the top 9 and bottom 9 teams when looking across all metrics (note that I order teams based firstly on the percentage of available competition points they have accrued and then on percentage).

To quantify this schism, I’d note that the average all-metrics rankings of the Top 9 teams range from Adelaide’s 2.1 to Fremantle’s 7.7, while those of the Bottom 9 range from Sydney’s 11.1 to West Coast’s 17.1.

The metrics currently most rank correlated with ladder position are:

• Opponent Goals per Game: +0.92

• Opponent Scoring Shots per Game: +0.92

• Opponent Points per Game: +0.91

• Percent of Quarters Won: +0.9

• MoS Win Production Function: +0.89

• Own Points per Game: +0.83

• Q1 Performances: +0.83

• Own Scoring Shots per Game: +0.82

• Own Goals per Game: +0.81

• Q3 Performances: +0.79

That least rank correlated with ladder position is:

• Opponent Scoring Shot Conversion: +0.49