Before I begin this article I want to clarify that Corsi and Fenwick are not unreliable statistics. They are both good predictors of how players and teams will perform over the course of a season or during a playoff series. The problem is that hockey personalities are beginning to rely solely on these statistics while overlooking some glaring flaws. On top of that they are ignoring other statistical categories entirely leading to the misinterpretation of how players should be perceived.
What is Corsi?
Since Moneyball was published in 2003, advanced stats have spread into other sports and beyond including criminal justice, music and even government. This effect along with the creation of the Corsi number has everyone from fans, writers, scouts and managers analyzing players much differently than they did a decade ago. Unfortunately, everyone is beginning to overlook statistics that were already in place while focusing solely on Corsi if it were the only way to judge a player.
Corsi Number= (Shots on Net For + Missed Shots For + Blocked Shots Against) – (Shots on Net Against + Missed Shots Against + Blocked Shots For.) Corsi is only calculated for 5v5 play.
Fenwick is the same except it removes the use of blocked shots from the equation. Still, calculating the Corsi number is not enough to analyze a player. From there that number is put into another equation to better determine their value to the team. The Relative Corsi number drawn from this equation essentially tells us if the player plays better or worse than the team average.
Relative Corsi Number = Corsi Number of player – Corsi Number of team when player is not on the ice.
Before we even begin to talk about the numerous problems with these statistics let’s talk about what Corsi truly is. At its very core, Corsi is a plus minus statistic. Albeit, a far better statistic but a plus minus statistic nonetheless. As discussed by David Staples of the Edmonton Journal, Plus Minus has two major problems but Corsi only solves one of these problems, the sample size. Also despite being painted as the face of advanced stats, Corsi is nothing more than a shot counting statistic.
Bias Within Corsi Statistics
Now that we have established what Corsi actually is, a shot counting plus minus statistic, let us focus on the problems. The strengths of Corsi are also its weaknesses. The fact that it only encompasses 5v5 play is a major drawback that cannot be overstated. Most people think this only excludes special teams, but it also excludes any and all 4v4 play as well. In 2014 the league average was 3.27 Power Play opportunities per game or about 6:17 minutes of special team play. There are no statistics for 4v4 play time but we can assume that per game the average is between 1-2 minutes because of the occurrence of offsetting minor penalties. That is 7-8 minutes of data per game that is blatantly ignored by Corsi. It punishes players who are penalty kill or power play specialists. For instance a fourth line player plays three minutes on the penalty kill and another four on 5v5. Is it truly okay to judge this player based solely on that? What about a power play specialist who gets victimized on 5v5 more but makes teams pay on the power play constantly? In the end games are won by goals not shots.
Quality vs Quantity
The next problem with Corsi is perhaps the most obvious, the shots themselves. Corsi is solely based on counting shots and judges players on the quantity of these shots but not the quality. Wayne Gretzky once said, “You miss 100% of the shots you don’t take.” Still this should not translate to the justification of a boosted Corsi number for missing shots. It is true that a missed or blocked shot can lead to a goal, but that is an indirect path. Hits, takeaways, passes, and player movement off the puck also indirectly lead to goals not just shots and to assume only shots lead to goals is ludicrous.
“What matters is winning, winning requires goals, and a high volume of shots does not, strictly speaking, create goals. Shots are a by-product and not a cause.” via Daniel Wagner of TheScore.
Just as blocked and missed shots should not be judged the same as those put on the goalkeeper, shots on net are not created equally. A shot from outside the zone or a soft wrist-shot from the blue will not have the same quality as a one timer from the slot or a breakaway shot. Typically during a thirty shot performance only about ten of those shots are even considered scoring chances, or quality shots. Also by only assessing shots Corsi ignores goals, or more specifically ignores defense. Perhaps a player did allow more shots against but he forced them to be wide or forced bad angle shots with a low chance of them getting by the goaltender. Corsi does not allow for the analysis of how well a player may be playing defensively in the zone despite allowing these shots.
The final problem with Corsi is simply due to the nature of the sport itself. Is it truly fair to punish a player because he plays on a bad team or reward a player because he plays on a good team? Good players on bad teams will suffer from this statistic simply because they will never be able to muster up enough shots while bad players on good teams will look far better than they actually are. As stated earlier Corsi is designed to be a comparison of a player to the team average. Because of this design it is one of the reasons why certain players eventually get overvalued and overpaid later. Corsi does well to predict how a team may do in the playoffs after the season is over but it can independently skew data for individual players.
The Whole Picture
This brings us back to the statistic itself and the overzealous act of judging a player. Corsi and Fenwick are not untouchable statistics and they do not tell the whole story. To form a conclusion on a player you have to analyze multiple statistics that are both offensive and defensive. Lately, everyone talks about how the 2014 Los Angeles Kings proved the importance of Corsi. I would counter that argument with the fact that the Kings continued what we already know, teams who finish in the top ten in 5v5 Goals For/ Against Ratio have a much better chance at winning the Stanley Cup. Since 2001, only the Kings in 2012 and Hurricanes in 2006 finished outside the top ten in this category while winning the Stanley Cup. To assume that Corsi is the only indicator of a good team is to ignore every other statistic that teams excel at, including statistics that pre-date Corsi.
Corsi does not have as many flaws as Plus Minus and still helps to show how players can or will perform. It is possibly the best predictor of future events but not the best way to assess a specific player. Goal differential is just one statistic that has begun to be overlooked in recent years. When analyzing players make sure to assess other things such as blocks, time on ice, special team play and other categories. This combined with Corsi can lead to a much better understanding of a free agent or prospect.
Andrew graduated from the University of Nevada with a Bachelors Degree in Community Health Sciences. Growing up in Nevada, he played soccer up through college but his passion has always been hockey.