top 25 songs of 2014

I’ve had this blog for two years now which means it’s time for one of my favourite annual posts and that is my arbitrary list of favourite songs over the past year.

This year was a terrible year for music. I expected a holy trifecta of Kanye, Kendrick and Frank Ocean. I got nothing. Nothing! And what came instead was mostly middling music. I don’t think there was a record that came out this year I liked front to back. To be honest that’s a rarity to begin with which is why I tend to this list instead of my favourite albums, because I usually don’t have that many, especially this year.

With that being said, I hate most of the year end lists I read because they are wrong. All of them. This is the only right one. For me at least, but it is wrong to you and anyone else, and that’s why year end lists discussing the “best” music of the year is dumb. It’s subjective. This is a stupid list you shouldn’t care about it. But they’re fun to do and they’re fun to discuss.

With that disclaimer out of the way, here are my favourite songs of 2014.

Continue reading top 25 songs of 2014

nhl power rankings and projections: dec. 17

In this week’s edition of the power rankings, I have completely revamped the model that churns out the numbers. If you’re curious, this is a post explaining the new method, but the gist is that I’m now using score-adjustments rather than score-close. That plus a re-weighting of 5-on-5 and special teams data.

Here are last week’s rankings with the old method, and with the adjustments there’s obviously some big changes this week as some teams went up thanks to the adjustment, and some teams went down.

The biggest news is there’s a new number one this week as Pittsburgh’s long reign at the top is over thanks to scaling back the weight on special teams.

Continue reading nhl power rankings and projections: dec. 17

a better playoff output projection

If you’ve been following me for a while, then you’re probably aware of a stat I created called POP which aims to predict the playoffs and more accurately forecast who the best teams in the league are.

There’s been some work done recently, as well as suggestions from smarter people, that’s made me consider making changes to the stat.

In its current iteration, POP is (Fenwick Close + ((0.6 x Goals Close)/PDO Close)) x (PP% + PK%). The first part of the equation is very similar to what Tom Tango is working on right now with weighted shot differential, so it was interesting to see someone else working on something similar.

Continue reading a better playoff output projection

nhl power rankings and projections: dec. 10

In this week’s power rankings, Washington crawls back into the top five, Pittsburgh finally falls below 100 and the biggest drop of the week belongs to Carolina who fall into the bottom ten.

Meanwhile, the Leafs find themselves just outside the top ten and somehow ahead of St. Louis and Nashville.

If you haven’t read it yet, this is how I’ll be measuring each team this year. And here is last week’s rankings.

Continue reading nhl power rankings and projections: dec. 10

nhl power rankings and projections: dec. 3

In this week’s power rankings, Washington and Anaheim fall out of the top five, Pittsburgh loosens its stronghold on the number one spot and Dallas has the biggest drop of the week falling into the bottom 10.

Meanwhile, the Central division continues to show its strength while the Metro division is a downright laughingstock .

If you haven’t read it yet, this is how I’ll be measuring each team this year. And here is last week’s rankings.

Continue reading nhl power rankings and projections: dec. 3