I’ve seen many statistical articles look at different ways to determine whether or not shot volume inflates a goaltender’s save percentage; however, I’ve never been satisfied with the methods used, regardless of the outcomes. So, I finally went and looked at the data myself.

It’s been seven months since I’ve written anything on save percentage. With all that wait, you’d think I’d give you a big, long, and in-depth article… but I won’t.

I had one planned, but accidentally lost all my data. Of course, errors always come in clumps. Instead of recovering the lost data, I ended up permanently removing it. To make matters worse, extraskater.com going black made the information a hassle to manually extract again. I probably could write a code (or get someone else) to draw up the information again… but I still have one piece remaining from the original data: the graph.

What is this graph of? What does it mean?The issue I always had with previous methods is that they never attempted to look at whether a particular goaltender’s save percentage changes with their experience in shot volume.

The above image though is an attempt to do just that.

The data taken was for each game since the 2010-12 season for the 40 active goaltenders who have played at least 100 games in that period. Then, each game where a goaltender faced less than 10 shots or played less than 40 minutes were removed from the population. Each data point on the graph then represents one of the remaining games.

The two variables are simply the goaltender’s save percentage and shots against rate relative to the average that goaltender has faced throughout the sample.

(FYI: the per X minutes value for shot rates was selected to give the x and y variables similar mean and standard distribution so the nature in size of the variables do not effect the measured relationship viewed on the graph… If I recall correctly, it was per 30 minutes… sorry for not having that)

Basically, the graph shows whether or not a goaltender tends to save a greater percentage of shots when they face more shots, all relative to their normal.

There are a few issues with the graph that I never fixed before losing all my information. Mostly the issues are cosmetic; there is no title, no axis labels, and the axis ranges should be similar given the data. The last problem causes the data to visually seem far more like a line than it actually is, as the image is being severely stretched from left to right.

There is one real issue though: the x and y variables are actually the opposite than what they should be. However, the most important part survives these errors. The coefficient of correlation.

The R^2 between these two variables is found to be 0.016, almost nonexistent. What does this mean? For the forty active goaltenders to play at least one hundred NHL games over the past four seasons, there is no substantial relationship in them playing better -in terms of save percentage- when facing more or less shots against.

(I unfortunately do not have N to give you a p-value, sorry again)

It should be noted that I repeated the same experiment for shot attempts (ie: Corsi) and non-blocked shot attempts (ie: Fenwick) against, with almost no difference in correlation.

While this doesn’t prove anything unequivocally, it is another piece of evidence that a NHL goaltender’s save percentage is predominately a construct of natural variance and goaltending skill.