Estimating Standard Deviation in On-ice Shooting Percentage Talent

I have tackled the subject of on-ice shooting percentage a number of times here but I think it is a subject that has been under researched in hockey analytics. Historically people have done some split half comparisons found weak correlations and written it off as a significant or useful factor in hockey analytics. While some of the research has merit, a lot of the research deals with too small of a sample size to get any really useful correlations. Split-half season correlations with majority of the players is including players that might have 3 goals int he first half and

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Rush Shot Stats for Individual Players – Forwards

If you haven’t read my previous posts on rush shots or want to learn more about how I determine what is and what is not a rush shot please go back and read the series. Introducing Rush Shots Rush Shots Leading vs Trailing and Home vs Road Rush Shot Save Percentage Columbus Blue Jackets and Rush Shots So far I have only looked at team data but I have now calculated rush shots by players and so I will take a look at rush shots by forwards. I am restricting my analysis to forwards who have been on the ice

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Introducing “Rush” shots

I have been pondering doing this for a while and over the past few days I finally got around to it. I have had a theory for a while that an average shot resulting from a rush up the ice is more difficult than a shot than the average shot that is generated by offensive zone play. It makes sense for numerous reasons: The rush may be an odd-man rush The rush comes with speed making it more difficult for defense/goalie to defend. Shots are probably take from closer in (aside from when a team wants to do a line

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Two Graphs and 665 words that will convince you on Shooting %

Last week Tyler Dellow had a post titled “Two Graphs and 480 Words That Will Convince You On Corsi%” in which, you can say, I was less than convinced (read the comments). This post is my rebuttal that will attempt to convince you on the importance of Sh% in player evaluation. The problem with shooting percentage is that it suffers from small sample size issues. Over small sample sizes it often gets dominated by randomness (I prefer the term randomness to luck) but the question I have always had is, if we remove randomness from the equation, how important of

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Measuring persistence, randomness, and true talent

In Rob Vollman’s Hockey Abstract book he talks about the persistence and its importance when it comes to a particular statistics having value in hockey analytics. For something to qualify as the key to winning, two things are required: (1) a close statistical correlation with winning percentage and (2) statistical persistence from one season to another. More generally, persistence is a prerequisite for being able to call something a talent or a skill and how close it correlates with winning or some other positive outcome (such as scoring goals) tells us how much value that skill has. Let’s look at persistence first. The

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Can Nathan Horton boost line mates shooting %

Nathan Horton has been one of the stars of these NHL playoffs as will be an integral component of the Stanley Cup finals if the Bruins are going to beat the Chicago Blackhawks. Nathan Horton is also set to become an unrestricted free agent this summer so his good playoff performance is good timing. One of the things I have noticed about Horton while looking through the statistics is that he has one of the highest on-ice 5v5 shooting percentages over the past 6 seasons of any NHL forward (ranks 16th among forwards with >300 minutes of ice time). Part

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How do high shooting percentage teams perform in playoffs?

With the win over the Ottawa Senators on Saturday night the Leafs have made the playoffs for the first time since the 2003-04 season and they are doing it largely on the backs of an elevated shooting percentage which currently sits at a lofty 10.52% (5v5 only). Here are all the teams with a 5v5 shooting percentage above 9.00% since 2007-08 season and how they have done in the playoffs. Season Team 5v5 Sh% Playoff Result 2012-13 Maple Leafs 10.52 Made playoffs 2012-13 Stars 10.04 Fighting for playoff spot (10th) 2011-12 Lightning 9.73 Missed Playoffs 2009-10 Capitals 10.39 Lost in

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Toronto Maple Leafs shooting percentage is holding steady above 10%

The Toronto Maple Leafs shooting percentage has been predicted to fall for a couple of months now but it has held steady. I know that about 5-6 weeks ago the Leafs 5v5 shooting percentage was at 10.4% and I predicted it was sure to fall but as of this morning their 5v5 shooting percentage is even higher at 10.59%. Here is a graph of their 5v5 shooting percentage through out the season. League average 5v5 shooting percentage is normally just shy of 8% and the Leafs are about 33% higher than that which is incredibly high. Over the previous 5

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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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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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