Fenwick metrics are a set of advanced statistics used in the National Hockey League (NHL) to measure shot attempt differential while playing at even strength. These metrics are named after blogger Matt Fenwick and are viewed as having a stronger correlation to scoring chances than other advanced statistics, such as Corsi. Fenwick metrics count only shots on goal and missed shots, whereas blocked shots, either for or against, are not included.
Fenwick metrics serve as a valuable tool for gauging a team’s offensive puck control during a game. A positive Fenwick value signifies that a team spends more time in the offensive zone compared to the defensive zone, while a negative Fenwick value suggests that a team is more frequently stuck in the defensive zone rather than the offensive zone. Understanding Fenwick metrics is important for hockey fans, coaches, and players who want to gain a deeper understanding of the game and improve their performance.
Key Takeaways
- Fenwick metrics are advanced statistics used in the NHL to measure shot attempt differential while playing at even strength.
- Fenwick metrics count only shots on goal and missed shots, whereas blocked shots, either for or against, are not included.
- Fenwick metrics serve as a valuable tool for gauging a team’s offensive puck control during a game.
Understanding Fenwick Metrics
Fenwick metrics are a set of advanced hockey statistics used to measure a team’s puck possession and shot attempts during even-strength play. Fenwick metrics were developed as an improvement over the Corsi metrics, which only counted shots on goal and missed shots. Fenwick metrics, on the other hand, exclude blocked shots from the calculation.
Key Metrics and Their Importance
The two key metrics used in Fenwick calculations are Shots on Goal and Missed Shots. Shots on goal are self-explanatory, while missed shots are shots that miss the net. These two metrics are used to calculate a team’s Fenwick percentage, which is the ratio of the team’s unblocked shot attempts (shots on goal + missed shots) to the total unblocked shot attempts by both teams.
Fenwick metrics are important because they provide a more accurate picture of a team’s puck possession and shot attempts. Teams with higher Fenwick percentages are generally considered to be better at controlling the puck and creating scoring chances. Fenwick metrics also allow for more detailed analysis of individual players and lines, which can help coaches make informed decisions about line combinations and player usage.
Historical Context of Fenwick Metrics
Fenwick metrics were first introduced by Matt Fenwick, a blogger and hockey statistician, in 2007. The metric was quickly adopted by the hockey analytics community and has since become a standard metric used by NHL teams and broadcasters.
Fenwick metrics have also been used in academic research to study the relationship between puck possession and winning. Studies have shown that teams with higher Fenwick percentages are more likely to win games and make the playoffs.
In conclusion, Fenwick metrics are an important tool for analyzing a team’s puck possession and shot attempts. By providing a more accurate picture of a team’s performance, Fenwick metrics allow for more informed decision-making by coaches and front office personnel.
Frequently Asked Questions
How is Fenwick percentage calculated in ice hockey?
Fenwick is calculated by taking the sum of shots on goal and missed shots by a team or player, excluding blocked shots. The formula for Fenwick is: Fenwick = (Shots on goal + Missed shots).
What constitutes a strong Fenwick rating in hockey analytics?
In hockey analytics, a strong Fenwick rating is typically considered to be above 50%. A rating above 55% is considered exceptional, while a rating below 45% is considered poor.
In what way does Fenwick differ from Corsi when assessing player performance?
Fenwick and Corsi are both shot-based metrics used in hockey analytics, but Fenwick excludes blocked shots while Corsi includes them. This means that Fenwick is generally considered to be a more accurate representation of a team or player’s offensive capabilities.
Can you explain the significance of Fenwick for and against in evaluating teams?
Fenwick for and against are used to evaluate a team’s offensive and defensive capabilities respectively. Fenwick for represents the number of shots on goal and missed shots taken by a team, while Fenwick against represents the number of shots on goal and missed shots taken against a team.
How does the Fenwick metric influence game strategy in the Scholastic Hockey League?
The Fenwick metric can be used to determine a team’s strengths and weaknesses, which can then be used to develop game strategies. For example, if a team has a strong Fenwick rating, they may focus on taking more shots on goal to increase their chances of winning.
What role does Fenwick play in determining the effectiveness of players in the NHL?
Fenwick is used in the NHL to evaluate the performance of players. A high Fenwick rating indicates that a player is effective at generating offensive chances, while a low Fenwick rating may indicate that a player needs to improve their offensive capabilities.
