# What Does CFM Mean in Hockey? Learn the Definition and Significance

Welcome to our article on the definition and significance of CFM in hockey. If you’re an avid hockey fan, you may have heard this term before. But what exactly does it mean and why is it important? In this article, we will break down the meaning of CFM and discuss its role in the sport of hockey.

CFM, which stands for Consolidated Fenwick Percentage, is a statistic that has become increasingly popular in hockey analytics over the past few years. It measures a team’s overall puck possession by taking into account all unblocked shots and missed shots attempted, both for and against.

Understanding CFM and its importance in hockey is crucial for any fan or analyst who wants to gain a deeper insight into the game. In this article, we will explore why CFM matters, how it’s calculated, and how coaches use it to improve team performance. So, let’s get started and delve into the fascinating world of CFM in hockey.

By the end of this article, you’ll have a comprehensive understanding of CFM and its significance in the world of hockey. So, if you’re ready to enhance your knowledge and gain a new perspective on the game, keep reading!

## Understanding CFM in Hockey

CFM stands for “Corsi For Percentage at Even Strength.” It’s an advanced metric used in hockey analytics that measures a team’s share of total shot attempts (shots on goal, missed shots, and blocked shots) during even-strength play. The metric is used to evaluate a team’s overall performance, as well as individual player performance.

CFM is an important tool for hockey analysts, coaches, and fans who want to gain a deeper understanding of the game. It provides a more complete picture of a team’s performance than traditional stats like goals and assists. The data can be used to identify a team’s strengths and weaknesses and make informed decisions about strategy and player personnel.

CFM is calculated by taking a team’s total shot attempts at even strength (both for and against) and dividing it by the total number of shot attempts during that time. The resulting percentage represents a team’s share of shot attempts during even-strength play. The formula is simple, but the data it provides can be complex and nuanced.

### The Basics of CFM

1. CFM stands for Corsi For Percentage at Even Strength, which is a statistic used in hockey to measure puck possession. It is calculated by dividing the team’s total Corsi for (shots on goal, missed shots, and blocked shots) by the total Corsi events (shots on goal, missed shots, blocked shots, and goals against).

2. CFM is an important metric because it can indicate a team’s ability to create scoring opportunities and limit their opponent’s opportunities. A team with a high CFM percentage generally has more offensive zone time, which often leads to more goals scored. Conversely, a team with a low CFM percentage will likely struggle to generate scoring chances and give up more goals.

3. It’s worth noting that CFM is not a perfect measure of a team’s success as it doesn’t take into account the quality of shots or the quality of the competition faced. However, it is a useful tool for evaluating a team’s overall puck possession performance and identifying areas for improvement.

Overall, CFM is a key statistic for understanding a team’s performance on the ice. By analyzing CFM, coaches and analysts can gain insight into a team’s strengths and weaknesses and make adjustments to improve their play. In the following sections, we’ll explore why CFM is important, how it’s calculated, and some common misconceptions about this statistic in hockey.

### How CFM Relates to Shot Attempts in Hockey

CFM measures the percentage of shot attempts a team makes while a particular player is on the ice, making it a useful tool for evaluating player performance. A player with a high CFM is likely contributing positively to their team’s offense by generating more shot attempts.

Shot attempts include shots on goal, missed shots, and blocked shots. Because a player’s CFM is only measured during even-strength play, it provides a more accurate picture of their contribution to their team’s performance, since power play and penalty kill situations can skew results.

CFM is also useful in identifying players who are effective at preventing shot attempts against their team. A player with a low CFM may not be contributing enough to their team’s offense, or they may be allowing too many shot attempts against their team when they’re on the ice.

## Why is CFM Important in Hockey?

Measure of team and individual performance: CFM is an essential tool used to evaluate the performance of both teams and individual players. It helps coaches identify strengths and weaknesses to improve gameplay.

Predictive power: CFM can predict a team’s future performance by analyzing past data. Teams can use this information to adjust their strategies and tactics for upcoming games.

Valuable for player scouting: CFM can help scouts and team managers identify potential recruits. It can indicate players who consistently generate high-quality shots and who are efficient at shot suppression.

Provides context to other statistics: CFM provides context to other stats like Corsi and Fenwick, giving a more complete picture of a team’s performance.

Allows for advanced analysis: CFM allows for more in-depth analysis, including the calculation of expected goals based on shot quality, which provides valuable insight into a team’s offensive abilities.

### The Role of CFM in Analyzing Team Performance

CFM can provide valuable insights into a team’s performance. By tracking the number of shot attempts generated and allowed, coaches and analysts can identify areas of strength and weakness for the team.

CFM can also help identify players who are particularly effective at generating or preventing shot attempts. This information can be used to make strategic decisions about player deployment and line combinations.

Furthermore, CFM can be used to evaluate team performance over time. By tracking CFM over the course of a season, coaches and analysts can identify trends and evaluate the effectiveness of adjustments made to the team’s strategy.

Overall, CFM provides a valuable tool for analyzing team performance and making strategic decisions. By understanding the role of CFM in hockey, coaches and analysts can make better-informed decisions to improve their team’s performance.

### CFM’s Impact on Player Evaluation and Scouting

Advanced analytics have transformed the way NHL teams evaluate players, and CFM has become a key metric in the scouting process.

By analyzing CFM, scouts can gain insight into a player’s possession skills and offensive impact, which are critical factors when evaluating a player’s overall value to the team. CFM can also help identify players who may be undervalued by other teams, providing a competitive advantage in acquiring new talent.

Many NHL teams now use CFM data in their player evaluation and drafting processes, making it a valuable tool for teams looking to improve their rosters.

However, CFM is just one piece of the puzzle when evaluating a player’s overall value. Scouts and coaches also consider other factors such as a player’s skating, shooting, and defensive abilities when making their assessments.

### How CFM Can Help Predict Future Success in Hockey

• CFM stands for Central Scouting Bureau’s Combined Future Considerations Model, a tool used by NHL teams to assess potential draft picks and predict their future success in hockey.
• The CFM model is a complex algorithm that takes into account a wide range of factors, including a player’s size, speed, skill level, and performance in games and practices.
• By using CFM, teams can gain valuable insights into a player’s potential and make more informed decisions about who to draft and how to develop them.
• One of the key benefits of using CFM is that it helps teams avoid making decisions based on subjective opinions or biases, which can lead to costly mistakes.
• Another advantage of CFM is that it can identify players who may be overlooked by other teams or scouts, allowing teams to uncover hidden gems and gain a competitive advantage.

Overall, the CFM model has proven to be a valuable tool for NHL teams in predicting future success in hockey. By using this tool, teams can make more informed decisions about who to draft, how to develop players, and how to build a winning team. While the CFM model is not perfect and cannot guarantee success, it is a powerful tool that can help teams gain a competitive edge and achieve long-term success on the ice.

## How is CFM Calculated in Hockey?

CFM is a powerful tool that helps NHL teams predict a player’s future success in hockey. But how is CFM calculated, and what factors are taken into account? Here’s a closer look:

The CFM model uses a complex algorithm that takes into account a wide range of factors, including a player’s size, speed, skill level, and performance in games and practices.

One of the key factors in CFM is a player’s performance in games, particularly at the junior level. This includes factors such as goals, assists, and points, as well as plus/minus and other advanced statistics.

Another important factor in CFM is a player’s performance in practices and training sessions. This includes factors such as work ethic, attitude, coachability, and ability to take feedback and make improvements.

Finally, CFM takes into account a player’s physical attributes, such as size, strength, speed, and agility. These factors can play a major role in a player’s success at the NHL level, and are closely evaluated by scouts and coaches.

Overall, the CFM model is a powerful tool that takes into account a wide range of factors to predict a player’s future success in hockey. While it is not perfect and cannot guarantee success, it is a valuable tool that can help teams make more informed decisions and gain a competitive edge.

### The Components of CFM Calculation

Goals For Percentage (GF%) is a key component of the CFM calculation, and it measures the number of goals a player’s team scores compared to their opponents while they are on the ice. The formula for calculating GF% is the number of goals a player’s team scores divided by the total number of goals scored by both teams when that player is on the ice.

Expected Goals For Percentage (xGF%) is another important component of CFM, and it takes into account the quality of shots that a player’s team generates while they are on the ice. It is calculated by using a model that estimates the probability of a shot resulting in a goal based on factors such as shot distance, angle, and type.

Corsi For Percentage (CF%) is a statistic that measures the percentage of total shot attempts that a player’s team generates while they are on the ice. Shots on goal, missed shots, and blocked shots are all included in the calculation. The formula for calculating CF% is the number of shot attempts for a player’s team divided by the total number of shot attempts for both teams when that player is on the ice.

• Scoring Chances For Percentage (SCF%) is a measure of the percentage of high-quality scoring chances that a player’s team generates while they are on the ice. It takes into account shot attempts from high-danger areas on the ice and is a good indicator of a player’s ability to generate offense.
• High-Danger Scoring Chances For Percentage (HDCF%) is a similar statistic to SCF%, but it focuses only on shot attempts from the most dangerous areas on the ice. It is an even better indicator of a player’s ability to generate high-quality scoring chances.

The combination of these statistics provides a comprehensive picture of a player’s performance on the ice, taking into account both their offensive and defensive contributions. By analyzing a player’s CFM, teams can gain insights into which players are likely to have the greatest impact on their success.

### The Importance of Quality of Competition in CFM Calculation

The quality of competition is one of the most important factors in calculating a player’s CFM score. When a player faces tougher competition, their CFM score will increase if they perform well against them. Conversely, if they perform poorly against weaker competition, their CFM score will decrease. This is because the CFM model takes into account the strength of the competition a player faces, and adjusts their score accordingly. Therefore, it is crucial to consider the quality of competition when evaluating a player’s CFM score.

When determining the quality of competition, the CFM model takes into account various factors such as the opponent’s strength, the player’s position, and the context of the game. For example, if a forward faces a strong defensive team, their CFM score will increase if they score goals or create scoring chances against them. On the other hand, if a defenseman faces a weak offensive team and allows goals, their CFM score will decrease. This is because the CFM model adjusts for the difficulty of the opponent a player faces.

Furthermore, the quality of competition also affects the interpretation of a player’s CFM score. A player who performs well against tough competition is considered to have a higher potential for success than a player who performs well against weaker competition. This is because the CFM model assumes that the more difficult the competition, the greater the challenge for the player, and the more likely they are to succeed at higher levels of play.

• Opponent strength: CFM takes into account the quality of the opponent a player faces.
• Player position: The CFM model considers the position of the player when evaluating their performance against the competition.
• Context of the game: The CFM model factors in the game situation when evaluating a player’s performance against their opponents.
• Greater potential for success: A player who performs well against tough competition is considered to have higher potential for success.
• Impact on player interpretation: The quality of competition affects the interpretation of a player’s CFM score.

In conclusion, the quality of competition is a critical component in calculating a player’s CFM score. It affects how a player’s performance is evaluated and interpreted, and is a key factor in determining a player’s potential for success at higher levels of play. By taking into account the quality of competition, the CFM model provides a more accurate and comprehensive evaluation of a player’s performance on the ice.

## CFM vs. Corsi: What’s the Difference?

CFM and Corsi are two advanced metrics used to evaluate player performance in hockey, but they measure different things. CFM measures a player’s ability to generate scoring chances while taking into account the quality of competition, whereas Corsi measures a player’s shot attempts during even-strength play.

While both metrics can provide valuable insights into a player’s performance, CFM is generally considered a more comprehensive and accurate measure of a player’s contribution to his team’s success. CFM takes into account not only the quantity of shots taken, but also the quality of those shots and the difficulty of the opponents faced.

One of the key differences between CFM and Corsi is that CFM incorporates the quality of competition into its calculations, whereas Corsi does not. This means that CFM can provide a more accurate picture of a player’s performance, as it takes into account the level of competition they faced.

Another difference is that CFM measures not only shot attempts, but also missed shots, blocked shots, and shots on goal, as well as the location of those shots. By taking into account these additional factors, CFM provides a more complete picture of a player’s offensive contributions to their team.

Ultimately, both CFM and Corsi are valuable tools for evaluating player performance in hockey. While Corsi is a simpler metric that provides a quick snapshot of a player’s shot attempts during even-strength play, CFM provides a more detailed and accurate picture of a player’s overall offensive contributions, as well as their ability to generate scoring chances against tough opponents.

### Comparing the Two Advanced Stats in Hockey

CFM and Corsi are two advanced stats used to evaluate a player’s performance in ice hockey. While both are used to measure a player’s ability to control the puck and generate shots, there are some key differences between the two.

CFM takes into account the quality of a player’s competition, while Corsi does not. CFM also puts more emphasis on shots on goal and scoring chances than Corsi, which focuses on all shot attempts. As a result, CFM can be a better indicator of a player’s impact on the game.

However, Corsi has the advantage of being easier to calculate and understand than CFM. Additionally, since it includes all shot attempts, it may be a more accurate reflection of a team’s overall performance.

Ultimately, both stats have their strengths and weaknesses, and it’s important to consider them both when evaluating a player’s performance. While CFM may provide a more nuanced evaluation of a player’s impact on the game, Corsi can still provide valuable insights into a team’s overall performance.

## How Coaches Use CFM to Improve Team Performance

Identifying Strengths and Weaknesses: Coaches use CFM to analyze a team’s performance and identify areas of strength and weakness. They can then adjust their strategies to improve the team’s overall performance.

Lineup Optimization: Coaches can use CFM to determine which players are performing well together and which combinations are not working. They can use this information to optimize their lineup and make changes to improve team performance.

Game Planning: By analyzing their opponent’s CFM data, coaches can develop game plans that take advantage of their opponent’s weaknesses and neutralize their strengths. This helps teams to gain a competitive advantage and improve their chances of winning.

In-Game Adjustments: Coaches can use CFM to make adjustments during games based on real-time data. For example, if a certain player is struggling, the coach may decide to adjust their ice time or switch up the lineup to try and spark the team’s performance.

Player Development: By analyzing individual player CFM data, coaches can identify areas where players need to improve and develop personalized training programs to help them reach their full potential.

### Identifying Areas of Improvement with CFM Analysis

One of the most significant benefits of using CFM analysis in hockey is that it can help coaches identify areas of improvement for their team. By analyzing individual player CFM numbers, coaches can determine which players are struggling in certain areas and where the team needs to focus its efforts.

For example, if a team’s CFM analysis shows that they are consistently losing battles along the boards, the coach can work with the team to improve their physical play and aggressiveness. Similarly, if a team’s CFM analysis indicates that they are not generating enough scoring chances, the coach can adjust their game strategy to create more opportunities in the offensive zone.

CFM analysis can also help coaches identify which players are excelling in certain areas and use them to their advantage. For instance, if a player has a high CFM rating for faceoffs, the coach can use them more often in critical situations to win crucial draws.

CFM Area of AnalysisExamples of Identifying Areas of ImprovementExamples of Utilizing Strengths
Physical PlayLow CFM numbers in battles along the boards, hitting or checking can indicate a need to focus on this area.High CFM numbers in physical play can be utilized in critical defensive situations, especially against aggressive teams.
Offensive ZoneLow CFM numbers in generating scoring chances may indicate a need to adjust the team’s game strategy in this area.High CFM numbers in generating scoring chances can be utilized by giving these players more offensive zone opportunities.
FaceoffsLow CFM numbers in faceoffs can indicate a need to improve the team’s overall faceoff skills.High CFM numbers in faceoffs can be utilized in critical situations, such as on power plays or penalty kills.

Overall, CFM analysis is a valuable tool that coaches can use to identify areas of improvement and utilize strengths to improve team performance. By using this advanced statistic to analyze individual player performance, coaches can create a more well-rounded team that is better equipped to succeed on the ice.

## Common Misconceptions About CFM in Hockey

CFM only applies to forwards. While CFM is often associated with forwards, it can be used to evaluate the performance of defensemen and goalies as well. All positions can benefit from the insights provided by CFM analysis.

CFM is the only advanced stat that matters. CFM is a valuable tool for evaluating player performance, but it should not be the only metric used. Other advanced stats, such as Corsi and expected goals, can also provide valuable insights.

CFM is the sole determinant of a player’s value. While CFM is a useful tool for evaluating players, it should not be the only factor considered when evaluating a player’s value. Other factors, such as intangibles like leadership, should also be taken into account.

CFM is a perfect measure of a player’s defensive abilities. While CFM is a good metric for evaluating a player’s defensive contributions, it is not perfect. Factors like quality of competition and the strength of a player’s defensive partner can affect a player’s CFM score.

### CFM is Not the Be-All and End-All Statistic

While CFM can provide valuable insights into a player’s on-ice performance, it should not be the sole metric used to evaluate their overall effectiveness. It is important to consider other factors such as a player’s role on the team, their individual style of play, and their intangible contributions to the team dynamic.

CFM is also limited in its ability to capture certain aspects of the game, such as a player’s defensive abilities or their ability to generate high-danger scoring chances. Therefore, it is important to supplement CFM with other advanced statistics and traditional scouting methods.

Furthermore, it is important to recognize that CFM is not a perfect metric and is subject to its own limitations and biases. For example, CFM does not account for the quality of a player’s linemates or their opponents, which can have a significant impact on a player’s on-ice performance.

Ultimately, CFM should be used as a tool to complement other evaluation methods, rather than as the sole determinant of a player’s value or potential.

### CFM is Not an Individual Statistic

One common misconception about CFM is that it’s an individual statistic. In reality, CFM is a team-based statistic that measures the collective impact of a team’s forwards on shot attempts.

It’s important to remember that a player’s individual CFM is influenced by the quality of their linemates, the strength of the opposition, and the team’s overall strategy. Therefore, it’s not a reliable way to evaluate an individual player’s performance.

CFM should be used to assess a team’s overall performance, rather than an individual player’s contributions. It can provide insight into which lines are generating the most scoring opportunities and which lines need improvement.

It’s also important to consider other factors such as a player’s defensive contributions, their role on special teams, and their overall impact on the team’s success. CFM is just one piece of the puzzle when it comes to evaluating a team’s performance and a player’s contribution to that success.

### CFM Can’t Explain Everything About a Team’s Performance

While CFM is a powerful statistic in hockey analysis, it is important to remember that it cannot explain everything about a team’s performance. Other factors, such as player injuries, team chemistry, and coaching strategies, can all play a role in a team’s success or failure.

CFM is also limited in its ability to account for intangible factors, such as a player’s leadership or work ethic. These qualities may not always show up in the statistics, but they can be crucial to a team’s overall performance.

Additionally, CFM does not take into account the quality of a team’s opponents. A team with a high CFM may have faced weaker competition, while a team with a lower CFM may have faced tougher opponents. This can skew the interpretation of the statistic and lead to inaccurate conclusions.

Finally, it is important to recognize that CFM is just one of many statistics used in hockey analysis. While it is a valuable tool, it should be used in conjunction with other metrics and qualitative observations to gain a comprehensive understanding of a team’s performance.

## Advanced Stats in Hockey: CFM and Beyond

Hockey analytics have come a long way in recent years, with the introduction of new advanced statistics beyond just CFM. While CFM is still a valuable tool, it’s important for teams to look at other metrics as well.

Expected Goals (xG) is a metric that evaluates a team or player’s likelihood of scoring based on the quality of their shots. It takes into account variables such as shot distance, shot angle, and the type of shot.

Zone Entries and Exits is another important metric, as it tracks a team’s ability to enter the offensive zone with possession and exit the defensive zone without turning the puck over. This can give insight into a team’s overall strategy and play style.

Heat Maps are visual representations of a team’s offensive and defensive zone play, with different colors indicating the frequency of shot attempts, goals, and other events from specific locations on the ice.

Zone Starts tracks where players start their shifts on the ice, which can give insight into a coach’s deployment strategies and which players are being used in certain situations.

Overall, while CFM remains a valuable tool in analyzing a team’s performance, it’s important for teams to also look beyond CFM to gain a more complete understanding of their strengths and weaknesses on the ice.

### The Future of Advanced Stats in Hockey

Artificial Intelligence: The use of AI is expected to increase in the coming years, allowing for more complex analysis of player and team performance.

New Metrics: New advanced stats will be developed to better measure player and team performance, giving coaches and analysts more tools to improve their strategies.

Data Collection: The collection of player and game data will continue to improve, with more detailed information being recorded and analyzed than ever before.

Integration: Advanced stats will become more integrated into mainstream hockey coverage, allowing fans to have a deeper understanding of the game and the factors that contribute to success.

### How is CFM calculated in hockey?

CFM, or Corsi For Percentage, is calculated by dividing the number of shot attempts (shots on goal, missed shots, and blocked shots) for a team during a game by the total number of shot attempts for both teams. The resulting percentage is then used to evaluate the team’s performance in terms of generating and preventing shot attempts.

### What is the significance of CFM in hockey?

CFM is an advanced statistic that helps measure a team’s performance in generating and preventing shot attempts. It provides a more comprehensive view of a team’s play compared to traditional statistics such as goals and assists.

### How is CFM used to analyze player performance?

CFM can be used to evaluate a player’s performance by calculating their individual Corsi For Percentage. This helps determine how well a player contributes to their team’s shot attempts while they are on the ice. It can also be used to identify areas where a player needs to improve their performance.

### Are there any limitations to using CFM in hockey analysis?

While CFM is a useful statistic in evaluating team and player performance, it does have limitations. For example, it does not take into account the quality of shots attempted, nor does it account for situations such as power plays or penalty kills, which can significantly affect a team’s shot attempts.

### How does CFM compare to other advanced statistics in hockey?

CFM is one of several advanced statistics used in hockey analysis, with others including expected goals, high-danger chances, and zone starts. Each of these statistics provides a different perspective on a team’s performance, and they are often used together to gain a more complete understanding of the game.