The real pisser about the Major League Soccer (MLS) schedule is the fact that, by the time I get around to posting these on Thursday, some of these calls look silly. I’m thinking here of that #1 ranking for the Kansas City Wizards; I’m guessing that the 8 of 11 pundits who placed KC on top would reconsider after last night’s loss at home to the New England Revolution. Hardly matters, as this is just meant to be a snapshot in time – e.g. how 11 pundits (or more, given that some sites involved take a collective approach to ranking) stack(ed) up MLS’s 14 teams in the week of the prior week’s action.
So…what to say, generally, about how said 11 pundits stacked up these teams? It’s fair to say they’re not all speaking with one voice. In some cases, they’re barely harmonizing. Teams like DC United, the Houston Dynamo, the Colorado Rapids…well, suffice to say the list goes on. It’s not all muddy water: for instance, 8 of 11 pegged KC at #1 – however dubious that looks after last night – and everyone agrees that the league’s worst team is either Toronto FC or the San Jose Earthquakes.
And who were these 11 pundits? Here ya go (and, again, feel free to post your rankings in the comments after mine, to email me rankings, etc.):
Center Holds It (me)
Goal.com (Kyle McCarthy)
Orlando Sentinel (Brant Parsons)
Fullback Files (um…Fullback?)
Sideline Views (Luis Bueno)
AYL Soccer (Jacob Hart writes, but it looks collective)
WVHooligan (Drew Epperley)
Blue Blooded Journo (a collective)
3rd Degree (Parrish Glover)
Fox Soccer Channel (Keith Costigan)
For those wondering what happened with Soccer By Ives rankings, he’s part of ESPN.com’s collective; that’s also why Andrea Canales’ rankings don’t show. Don’t want to double-count anyone…
(UPDATE: My apologies to On Soccer’s pate. He forwarded his Week 2 “scariness rankings” for inclusion this post; I had to put it in an update because I couldn’t figure out how to work it into the text. Anyway, it’s a pretty nifty concept pate has; it’s another way of looking at all this if nothing else.)
I’ll work into some details after the jump, but will start with the how I organized the data. Copy/pasting directions from previous entry: each team will be listed by rank and with their average, collective score following. To provide some perspective, the most common score(s) assigned to each team by the individual members of the collective will appear in parentheses after that, followed by the previous week’s ranking and average. Und, jetzt, der data: Continue reading