Chicago Blackhawks: An Efficient Offensive Machine

PITTSBURGH, PA - JANUARY 06: Brandon Saad #20 of the Chicago Blackhawks shoots the puck in the first period during the game against the Pittsburgh Penguins at PPG PAINTS Arena on January 6, 2019 in Pittsburgh, Pennsylvania. (Photo by Justin Berl/Getty Images)
PITTSBURGH, PA - JANUARY 06: Brandon Saad #20 of the Chicago Blackhawks shoots the puck in the first period during the game against the Pittsburgh Penguins at PPG PAINTS Arena on January 6, 2019 in Pittsburgh, Pennsylvania. (Photo by Justin Berl/Getty Images) /
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Shots on goal are an important statistic, but how much of an impact does it really have on the outcome of a game?

When watching Game 7 of the Dallas and St. Louis playoff series this year, I received a text from a friend of mine commenting on the sheer discrepancy of shots on goal between the teams.

Throughout the game, it seemed that the Blues were tenacious with getting pucks on net, leaving Dallas scrambling for any semblance of a contending team.

At the end of regulation, the Blues outshot the Stars 41-17, yet the game was tied up. Leading to a gripping 2 OT finale allowing a Stanley Cup Final berth for the Blues.

The question my friend had was simple, “How do shots on goal relate to goals?” Surely, due to sheer probability, teams that shoot on net more often should score more, right?

It amazed me that the Blues were not able to finish off their Round 2 Game 7 finale in regulation, especially with the shot discrepancy between the teams.

We’ve all heard Eddie Olczyk comment endlessly about how it’s never a bad idea to put the puck on net.

Therefore, I sought to examine this relationship between putting pucks on net, which was measured by Corsi For (Shots + Blocks + Misses), and scoring goals, which was measured by Goals For (number of scored goals), between the 2007-08 and 2018-19 regular seasons.

I specifically wanted to see how the Chicago Blackhawks performed in relation to the rest of the NHL.

The analysis that follows was performed on data retrieved from Corsica and all R code is available on my Github account.

A few notes about this analysis include:

  • Atlanta Thrashers and Winnipeg Jets data were considered as one team
  • Corsi For and Goals For data were adjusted for time on ice (TOI)
  • Las Vegas Knights data only reflects 2 seasons of play

The plot above depicts the relationship between Corsi For and Goals For as generally positive: an increase in Corsi For is associated with an increase in scored goals.

We would expect this relationship as the more a team shoots the puck towards the net, the more likely the puck is to elude the goaltender or create additional offensive opportunities.

Furthermore, the Blackhawks are often above the linear trend. This suggests that for the amount of shots they take per season, the Hawks’ tend to score more than other teams on average (more on this later).

Interestingly, the relationship between Corsi For and Goals For is stronger in some years than others. To quantify these fluctuations, I ran 12 regressions–one for each season–that predicted Goals For as a function of the NHL teams’ Corsi For.

I then examined the regression coefficients by plotting them across time.

The plot above observes a strong positive relationship between Corsi For and Goals For across recent seasons except for the 2012-13 and 2017-18 campaigns, as these two seasons’ 95% confidence intervals cross zero.

This suggests a relationship that is not reliably positive. In general, it’s a good idea to put the puck on net; however, why did some seasons not reliably demonstrate this? I’d love to hear your thoughts below.

Now, how about our beloved ‘Hawks? How did they fare in comparison to the rest of the league?

By examining each team’s distance from the slope of the line in the first graph (called residuals), we can get an estimate of which teams are performing above and below the league average.

In other words, which teams scored more goals than was expected of them given their Corsi For (adjusted for TOI)?

To examine this, I averaged these distances for each team across their 12 most recent seasons. Teams with greater residuals mean that they are consistently scoring more goals per shot compared to the league average.

As we can see from the plot above, the Blackhawks are the 4th best team in the league from 2007-2019, with the Pittsburgh Penguins in 1st followed by Tampa Bay in 2nd and the Washington Capitals in 3rd.

These top 4 teams separate themselves from the rest of the NHL and have generally performed well in the regular/postseasons, with Pittsburgh, Washington, and Chicago having Stanley Cup wins across the 2007-2019 seasons.

Overall, getting pucks on net generally produces more goals; however, this relationship was not always true, especially for the 2012-2013 and 2017-2018 seasons.

Furthermore, the Blackhawks have been rather efficient with their shooting across these 12 seasons, scoring more goals per shot than all but 3 teams in the league.

The recent post-season acquisitions, such as Calvin de Haan, are very promising as the Hawks’ hope to stay ahead of the curve with quality goal-scoring chances coming from not only their offense, but also, from their blue line.