This week, let's look at the rank correlations between the teams' ladder positions and their ranking on the various metrics from the Dashboard.

It stills feels a little early to be reading too much into the metrics on the Team Dashboard, so this week I'll constrain myself to listing, for each team, the metrics on which it is highest- and lowest-ranked.

It's still absurdly early to be reading anything much into teams' scoring and quarter-by-quarter metrics, so consider the following lists no more than early trends.

Here's the latest Team Dashboard, which is nicely symmetrical in that we have:

• Four teams with two wins
• Ten teams with one win
• Four teams with no wins

The only shame is that Fremantle didn't win by enough to leave us with the five winning Round 1 losers ahead of the five losing Round 1 winners ...

For readers new to MoS, let me introduce the Team Dashboard. Updated at the end of every round, the Dashboard has three main sections.

For this, the last Team Dashboard for 2017, we'll do all of the standard analyses we've been doing throughout the season.

The latest Team Dashboard appears below. We'll look this week once again at the MoS Win Production Function and the difference between teams' actual win percentages and the percentages their scoring statistics suggest might be expected.

Time to once again compare each team's ranking on Dashboard metrics to their competition ladder positions:

This week, let's take a look at the rank correlations between the teams' competition ladder positions (based on the methodology used here on MoS, which uses competition points as a proportion of maximum possible points, then percentage) and their ordering on the various Team Dashboard metrics.

The latest Team Dashboard is lurking, as is its wont, below, and this week we'll be looking once again at the MoS Win Production Function and the difference between teams' actual win percentages and the percentages their scoring statistics suggest might be expected.

Time to once again compare each team's ranking on Dashboard metrics to their competition ladder positions:

The latest Team Dashboard appears below and this week I'll confine the analysis to a handful of observations:

The latest Team Dashboard is lurking, as is its wont, below, and this week we'll be looking once again at the MoS Win Production Function and the difference between teams' actual win percentages and the percentages their scoring statistics suggest might be expected.

Time to once again compare each team's ranking on Dashboard metrics to their competition ladder positions:

The latest Team Dashboard is below, and this week we'll take another look at the MoS Win Production Function and what it says about teams' actual winning percentages versus what might be expected based on their scoring statistics.

The latest Team Dashboard appears below.

This week, let's take a look at the rank correlations between the teams' competition ladder positions (based on the methodology used here on MoS, which uses competition points as a proportion of maximum possible points, then percentage) and their ordering on the various Team Dashboard metrics.

Time to once again compare each team's ranking on Dashboard metrics to their competition ladder positions.

The latest Team Dashboard appears below. It contains the latest estimates from the MoS Win Production Function,

The latest Team Dashboard appears below, which I order during the bye rounds firstly on the basis of competition points gained per game played. This week that sees the Gold Coast occupying 12th place rather than the 15th place that a traditional treatment would imply.