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My Hockey Ratings

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My Hockey Ratings

Welcome to my world of hockey ratings! As someone deeply passionate about this remarkable sport, I find the analytical aspect of rating teams and players both intriguing and essential. I believe you share my enthusiasm and fascination; hence, you’re here. 

Whether you’re a seasoned veteran avidly following every ice shuffle and stick swing or a newcomer seeking to learn more about the intricacies of this fast-paced game, this article is designed just for you. Here, I’ve put together a comprehensive and insightful exploration of the world of hockey ratings. 

In the following sections, we’ll delve into the methods I use to rate teams, individual player performance, and even how those stunning underdogs outshine the predictions. Just like hockey itself, the process of rating can be complex, exhilarating, and sometimes, utterly unpredictable.

But don’t worry! I’m here to guide you through it all, breaking down the nuances, explaining the terminologies, and illuminating the criteria that determine the rankings. So, lace up your skates, grip your stick, and let’s get on this thrilling journey of hockey ratings together!

Understanding My Hockey Ratings: A Primer

The art of rating hockey players is like deciphering a secret code, with companies like EA Sports holding the key. Yet, we’ve managed to salvage together key pieces to give you an insight into this elusive process tailored for skaters. Remember, though, that goalies are a totally different breed altogether. 

Every hockey player has unique characteristics and abilities that make him stand out on the ice. The skater’s speed, acceleration, power, accuracy, stick-handling skills, stamina, aggression, and intensity are among the crucial parameters considered in player ratings. In the NHL game universe developed by EAS, players’ ratings swing from a low of 50 to just under 100, a rather wide-ranging scale that affords precision in differentiating player abilities. 

In the per-game stats or the per-60 stats reference, a player’s rating can vary. This scenario is a testament to the dynamic nature of ratings, as a player’s performance on any given day can influence his rating for better or worse. 

To the uninitiated, metrics such as CF%, CFQoC, CFQoT, and OZS may seem daunting. Let us simplify those for you. CF% (Corsi For) is an advanced statistic that aims to capture a player’s positive or negative impact when they’re on the ice. CFQoC (Quality of Competition) and CFQoT (CF% of line-mates) incorporate the quality of opponents and line-mates, while OZS (Offensive Zone Starts) measures how often a player starts their shift in the offensive zone, which can influence their offensive productivity. 

You’re probably wondering what the circles on a player card mean. They denote a player’s league-wide percentile and the significance of each metric towards contributing to a player’s offensive and defensive rating. Speaking of which, Offensive and Defensive Ratings are centered around an average skater at their position; more is always better for these ratings. Yet, the Net Rating hierarchy for each position still stands supreme, with it holding vital insights into the player’s overall strength.   

The magic woven by the game developers into player ratings is nothing short of remarkable. It blends skater stats, advanced hockey statistics, and a little razzle-dazzle to create a unique formula and keep hockey fans across the globe engaged and eager to play.

Cracking the Code: How to Calculate Hockey Ratings

If you’re ready to dive deeper into the world of hockey ratings, let’s take a closer look at how they’re calculated. 

EA Sports, known for their NHL player ratings, have a specific method for deriving these ratings, although their precise approach remains somewhat secretive. They consider a range of player parameters, including acceleration, speed, stick-handling ability, shot accuracy, and power, plus stamina, aggression, and intensity, among others. Yet, we know that they only rate skaters, not goalies, who have fundamentally different stats. 

My personal rating system, suitably named the Sigmoid Player Rating (SPR), uses an array of traditional and advanced player metrics in its calculations. Using data drawn from resources like and Corsica. Hockey captures the statistics of nearly 2000 players from 2008 to 2018. 

Now, let’s focus on some of the advanced stats that your rating system may take into consideration. These include CF% (Corsi For), CFQoC (Quality of Competition), CFQoT (CF% of line-mates), and OZS (Offensive Zone Starts). For example, the CF% shows the percentage of shot attempts by a team while a particular player is on the ice. 

The SPR makes use of metrics like Offensive Rating, Defensive Rating, and Net Rating. These are all centered around an average skater at their respective positions, with positive values indicating better performance. The Offensive and Defensive Ratings explore a player’s strength in these two core areas of the game, while the Net Rating introduces the idea of defensive strength when evaluating teams as a whole. 

There’s a world of fascinating stats beyond the staple goals, assists, and penalty minutes usually presented in broadcasts and news articles, and all of this is material for our Sigmoid Player Rating. Keep in mind it is about being accurate, but it is also about creating a system that really captures the essence of a player’s contribution to the game of hockey and, in the end, contributes to your deeper understanding and enjoyment of the sport as a fan.

Exploring Different Types of Hockey Ratings

There’s a wide range of statistics available to rate a hockey player’s performance, skill level, and value on the ice. Let’s tackle a few of them. 

Let’s first look at the Offensive and Defensive ratings. These are key metrics that rely upon the average skater’s performance based on per-game or per-60 stats. Positivity is king here, with higher numbers correlating with more favorable outcomes. Remember, though, these metrics only apply to skaters, excluding goalies whose stats differ significantly. 

Speaking of different metrics, EA Sports has built a name for itself with its intriguing NHL player rating system. It’s a blend of various attributes, encompassing everything from speed and acceleration, shot power, accuracy, and handling ability to stamina and aggression. However, as intriguing as it might be, the exact methodology remains a well-guarded trade secret. a

The circle on a player’s card in the EA Sports NHL series denotes the player’s percentile ranking league-wide and its significance in determining the player’s offensive and defensive rating. Isn’t it interesting how much one tiny circle can represent? 

Now, don’t get intimidated by some advanced hockey statistics: CF% (Corsi For), CFQoC (Quality of Competition), CFQoT (CF% of line-mates), and OZS (Offensive Zone Starts). They might appear complex at first glance, but these are the kind of metrics that allow for a deeper understanding of on-ice performances and effectiveness in various situations. 

In pursuit of creating an even more comprehensive system, we’ve set our sights on conceiving a Sigmoid Player Rating (SPR). This system will employ a combination of advanced and traditional metrics gathered from sources like and Corsica. Hockey. Our aim with the SPR system is to offer an efficient and comprehensive metric that suits both player and fan analysis, covering data from 2008 up to 2018 for nearly 2000 players. In a nutshell, we’re striving to create a wonderful tool for both fans and analysts alike. 

Understanding all these hockey ratings might seem daunting, but remember, it’s all about gaining a deeper appreciation of the sport and the players we love. So have fun, and enjoy the beautiful game of hockey even more.

The Importance and Implications of Hockey Ratings

A closer look at how hockey player ratings are created might help to understand this complex mechanism. For instance, EA Sports, one of the leading names in sports video games, employs a nuanced approach to build player ratings for their NHL games. Grounded in the comprehensive analysis of individual parameters, the EAS system takes into account a player’s speed, shot power and accuracy, stick handling skills, stamina, and even details like aggression and intensity. 

Player ratings can also consider intangible factors like leadership, clutch performance, and consistency.  Interestingly enough, the exact details and inner workings of the EA Sports rating system remain something of a well-kept secret. Continued improvement and updates are continuously injected into the system to better understand and reflect player value. As such, fans and players alike often find intrigue and, sometimes, controversy in the fluctuating ratings. 

Enter the concept of the Sigmoid Player Rating (SPR), an innovative and unique method potentially set to disrupt the player rating field. By using a combination of traditional and advanced statistics, SPR ratings aim to provide a more nuanced and comprehensive image of player performance and potential. It’s important to grasp that a player’s SPR will fall between the values of 50 and 99.9 recursively, which illustrates the player’s position in relation to the rest of the league. 

Every player rating system has strengths and limitations. Notably, one system could focus on per-game stats, while others may employ per-60 stats for average skater rating, leading to different results. Moreover, the Net Rating employs an integrated method that includes defensive strength when evaluating teams, highlighting that defense is just as important in assessments as offense. Similarly, GSVA ratings emphasize placement with league performance, setting players at levels from average to superstar or MVP status. 

 Player cards serve a unique purpose in allowing visualization of these ratings. Specifically, the circles on a player card denote a player’s league-wide percentile. Moreover, it indicates the significance each metric has in contributing to a player’s offensive and defensive rating. However, the ultimate goal remains the same: providing a reliable estimation of a player’s standing and potential within the league. 

Indeed, player ratings in hockey are more than mere numbers. They are a complex synthesis of data, analysis, and interpretation that strive to encapsulate a player’s total contributions on the ice. And with constant evolution in data collection and analysis, player ratings will continue to become more refined, more nuanced, and more insightful.

The Intersection of Hockey and Statistics

  • The NHL has expanded its statistical analysis to include data beyond traditional counting stats, such as goals, assists, and penalty minutes. These new data points, which include measures of possession, zone starts, and shot attempts, have been embraced by some teams in their player evaluation and strategic planning.
  • The Corsi For Percentage (CF%) is a key advanced statistic in hockey, which measures the amount of shot attempts a team makes compared to its opponents. The higher the CF%, the more a team is controlling play.
  • The Quality of Competition (CFQoC) and CF% of line-mates (CFQoT) are other advanced metrics that provide insights into the caliber of opposition a player faces and how well their line-mates are performing.
  • Offensive Zone Starts (OZS) is a metric that assesses a player’s offensive capabilities by tallying the number of times they start their shift in the offensive zone.
  • A player’s rating may fluctuate based on the nature of the calculated average, i.e., whether it is drawn from per-game statistics or per-60 statistics.
  • The EA Sports NHL player ratings system integrates various attributes of a player, highlighting the multidimensional nature of performance evaluation in hockey.
  • Hockey rating methodologies typically differentiate between offensive and defensive contributions, adjusting their overall ratings based on position-specific average skater performance.
  • Despite being pivotal to the game, goalies’ performance evaluations follow a different approach due to their distinct roles and associated metrics on the ice.
  • The Sigmoid Player Rating (SPR) is a potential new player rating system that aims to integrate traditional and advanced statistics to provide a comprehensive evaluation of a player’s performance.
  • The Montreal Canadiens, like other NHL teams, leverage both traditional and advanced statistics to inform their strategies and evaluate team and player performance.

Hockey Ratings: Myth Vs. Reality

Let’s delve deeper into the intricacies and misperceptions surrounding hockey ratings. For starters, it’s essential to remember that the rating system we’re discussing applies only to skaters, not goalies. This distinction is crucial because goalie stats are radically different from skater stats, necessitating a separate approach for analysis. 

Another common misconception in hockey ratings is the variability depending on the average skater base. In other words, a player’s rating can fluctuate significantly between being based on per-game stats or per-60 stats. This difference, though may seem small, plays an immense role in altering the hockey ratings, making it a factor that demands attention. 

A name that’s often thrown around when discussing hockey ratings is EA Sports (EAS). Their NHL player ratings are developed through a combination of various parameters attributed to each player. From speed, acceleration, shot power, shot accuracy, to stick handling ability, stamina, aggression, and intensity, each of these factors contributes to the final rating. 

That said, the exact methodology EAS uses for its ratings is something of a secret sauce. Guesswork and predictions abound, but the precise formula remains known only to them. This leaves us with a range of ratings that fall between 50 and 99.9 recursively, based on the weighted parameters. It seems to be a wide range, but it’s these nuances that make hockey ratings intriguing and in-depth. 

As much as we focus on offense as the basis for our ratings, defense is equally crucial. That’s where Net Rating comes in. It considers a team’s defensive strength when evaluating their overall worth. This integrative approach helps to create a much more rounded and realistic view of a team’s true capability on the ice. 

When it comes to sources, our project’s data-sets are composed of both traditional and advanced player metrics. Traditional statistics are sourced from 2000 players, while advanced metrics are provided by corsica. hockey. This mix enables a comprehensive and nuanced set of hockey ratings, spanning from 2008 to 2018.


My Hockey Ratings offers a comprehensive platform for hockey enthusiasts.  In a nutshell, the journey to understanding hockey ratings is a fascinating one, filled with discoveries and a deeper appreciation for the sport. The groundwork laid by these ratings provides an accessible and intuitive baseline for anyone interested in delving into the analysis of the game. As with anything that involves data, continuous refining and questioning are key to having a better, more precise understanding of player and team value in hockey.

About the author


Hey hockey fans, lace up your skates and get ready for a face-off with yours truly, Freddy Scheerer! As a hockey player with a passion for the game, I’m here to share my knowledge, experiences, and love for all things hockey. So join me as we explore the exciting world of hockey! Get ready for drills, discussions, and a whole lot of hockey love. Let’s drop the puck and get this blog started!

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