The effect of QoC on Stats:Pavel Datsyuk vs Valtteri Filppula

I have been on a bit of a mission recently to push the idea that quality of competition (and zone starts) is not a huge factor in ones statistics and that most people in general over value its importance. I don’t know how often I hear arguments like “but he plays all the tough minutes” as an excuse as to why a player has poor statistics and pretty much every time I do I cringe because almost certainly the person making the argument has no clue how much those tough minutes impact a players statistics. While thinking of how to

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Taking a look at QoC metrics on stats.hockeyanalysis.com

I generally think that the majority of people give too much importance to quality of competition (QoC) and its impact on a players statistics but if we are going to use QoC metrics let’s at least try and use the best ones available. In this post I will take a look at some QoC metrics that are available on stats.hockeyanalysis.com and explain why they might be better than those typically in use. OppGF20, OppGA20, OppGF% These three stats are the average GF20 (on ice goals for per 20 minutes), OppGA20 (on ice goals against per 20 minutes) and GF% (on

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Do zone starts really matter and if so, how much?

I often see people using zone starts and/or quality of competition as a way to justify any players unexpectedly poor or unexpectedly good play. Player X has a bad goal or corsi ratio because he plays all the tough minutes (i.e. the defensive zone starts and against the oppositions best lines). I am pretty certain that quality of competition is vastly over emphasized (everyone plays against everyone to some extent) and is vastly overshadowed by individual skill and quality of teammates, and I think zone starts do as well. Eric Tulsky at NHL Numbers.com posted a good review of the

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Tyler Bozak comparables…

There has been a fair bit of talk recently about Tyler Bozak and what the Leafs should do with him as he is clearly not suited for his #1C role but is set to be a UFA this summer and if the Leafs intend to keep him he’ll need a new contract.  To get an idea of his worth, I decided to see if I could identify a few comparable players. Let’s start off offensively. The first thing I looked at was primary points per 60 minutes of 5v5 ice time (primary points = goals + first assists). From last

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Quick thought on Jakub Voracek

One of the surprise player performances so far this season is that of Jakub Voracek. Voracek currently sits tied for 7th in points with 10 goals and 27 points in 24 games.  That puts him on pace to score 54 points in this lock-out shortened 48 game season which is 4 points more than he has scored in any 82 game season (career best was  50 points in 2009-10 in 81 games). Last season when Rick Nash was on the trade block I wrote an article about Nash and in it I had a few comments about Jakub Voracek as

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The declining value of fenwick/corsi with increased sample size

The last several days I have been playing around a fair bit with team data and analyzing various metrics for their usefulness in predicting future outcomes and I have come across some interesting observations. Specifically, with more years of data, fenwick becomes significantly less important/valuable while goals and the percentages become more important/valuable. Let me explain. Let’s first look at the year over year correlations in the various stats themselves. Y1 vs Y2 Y12 vs Y34 Y123 vs Y45 FF% 0.3334 0.2447 0.1937 FF60 0.2414 0.1635 0.0976 FA60 0.3714 0.2743 0.3224 GF% 0.1891 0.2494 0.3514 GF60 0.0409 0.1468 0.1854 GA60

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Because we all love charts…

I have some new and exciting enhancements to stats.hockeyanalysis.com for you all today. Charts, Charts, and more Charts. Before we get to the charts though, let me also mention that I have made some modifications to my HARO, HARD and HART ratings. Most of the change is to the scale and presentation and not so much to the actual formula (though there were some tweaks there too). Instead of 1.00 being an average hockey player, 0 is and the scale has been multiplied by 100 to represent % as opposed to a ratio. So now one should interpret [Shot,Fenwick,Corsi]HARO offensive ratings

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Nicklas Lidstrom’s TOI Charts over last 5 seasons

Last week I introduced player TOI usage charts and one use I thought they had was to look at how a players usage changed during the downside of their careers. Today I will do just that by looking at Nicklas Lidstrom’s TOI charts over the last 5 seasons. Consider this an extension to my earlier article where I took a look at Lidstrom’s last few seasons of his career. Let’s get right at it with his 5v5 chart.   Lidstrom’s last big season was clearly 2007-08 and every year since he has been below his 2007-08 levels in terms of

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Team Level Shooting and Save Percentage Matters

For those familiar with my history, I have been a big proponent that there is more to the game of hockey than corsi and that players can certainly drive on-ice shooting percentage. I have not done much work at the team level, but now that I have team stats up at stats.hockeyanalysis.com I figured I’d take a look. Since shooting percentages can vary significantly over small sample sizes, my goal was to use the largest sample size possible.  As such, I used 5 years of team data (2007-08 through 2011-12) and looked at each teams shooting and save percentages over

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Ilya Kovalchuk’s power play ice time

The last few days I have been looking at the percentage of a teams ice time for a given situation that a particular player is on the ice for.  So for instance, what percentage of the Leafs 5v5 even strength ice time was Joffrey Lupul on the ice in games in which Joffrey Lupul played. When I write a new program to calculate these numbers I need to to some testing to make sure the results are correct.  The first test is always the standard sniff test.  When the program runs I look at the output and ask myself “does

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