Wednesday, January 17, 2007

Respect Ranking (1/17): Treading Water

After a rough week in which the Caps won a game they should have won (Philly at home), lost a game they should have lost (Tampa on the road) and got killed in a game in which they should have at least been competetive (Florida on the road), it's no real surprise that their Respect Ranking stayed pretty much the same (I'm still waiting for SI to update their power rankings for the week). With a loss to Ottawa already on the ledger for this week, the Caps will have to do better against Carolina and Florida (their two remaining games this week) if they don't want to see their Respect Ranking - and more importantly their positioning in the standings - drop even further.

A couple of brief housekeeping notes: there are two new additions to the Respect Ranking (CBC and The Hockey News) and I decided after all to move the formula-based ratings to the bottom of the chart, as they reflect more than just some pundit's gut feeling on a team. Oh, and I have also decided not to include standard deviation because you can pretty much tell from a glance who's way out in left field and who's within the range of conventional wisdom (translation: I don't know how to do standard deviation).

As always, if you know of other power rankings, let me know about 'em.

SourceCurrentPreviousChange (1/13) 2121NC
CBS (1/16)25


CP (1/16)2423-1 (1/15)2019-1
FOX (1/16)2119-2
The Hockey News (1/15) 2227+5 (1/8)-22- (1/15)2222NC
NHL Standings (Points/Games Played)2320-3 (1/14)2226-4
Massey Rating (1/16)2525NC
Sagarin Rating (1/16)2623-3


Capital Fanatic said...

To sum it all up, we are currently playing better than 1 team, Philadelphia. We should be ranked 29th in all polls.

Fauxrumors said...

1) You may be correct. The Islanders may be giving the Caps a run for the 29th spot right now after making the Penguins look good last night

Boromir_Jagr said...

Standard deviation: the square root of the mean of the squares of the individual deviations.

In very small steps:

1. Find average. (the mean)
2. Subtract each data point from the average. (the deviation)
3. Square each of these differences.
4. Find the average of these squares. (the variance)
5. Take the square root of the sum. (the standard deviation)