2024 MLS Power Rankings averages, week 27

13 sites published for week 27. Two teams fumble, four teams sprint forward.

by Kreg AsaySep 26, 2024

The 2024 MLS season is nearing its final stretch, 13 sites published rankings for the double-game week 27 (games played Sept. 18 and the following weekend), rankings reflect results from both games even though some analytic sites updated after mid-week games.

Tom Bogert’s rankings are now on the drop notice list with no updates since week 18, and are joined by Broadway Sports who have now missed 4 updates.

A reminder of what Power Rankings should be (not that every site does, of course):

"If two teams played tomorrow, given their current injury concerns, form, and other considerations, who is likely to win on a neutral field? All things being equal, who is the best team going forward, based on what we know now?"

— Richard Farley, NBC Sports ProSoccerTalk. March 11, 2014.

You may notice the inclusion of 'analytic' sites; they serve to function as a 'control group' to others which are based on opinions. There are also sites included that some will argue are 'prediction rankings' - but that also is a form of Power Ranking (see the quote at the top) since it uses algorithms to calculate a team's likely final position.

Bias for or against certain teams are sometimes an unfortunate feature of power rankings. It can be based on their analytic formula, or the raters preference. In some cases the bias can become extreme - If you feel a site got the ratings wrong for your team I invite you to contact them regarding it. Bias ratings for every site are listed below.

I will typically only remove sites for two reasons.

Duplicating / copying ratings from another source on the list.
Failure to update for 6 consecutive weeks. Previous ratings will not be removed, but new ones may or may not be added. I will still periodically check them to see if they have resumed.

All the averages use the Olympic method (I.E. Truncated Mean value) of dropping the highest and lowest scores, and then averaging the rest to reduce bias.

The full spreadsheet is here.