Hey Flames fans! Ever find yourself deep in a game thread or reading a post-game analysis and feel like you need a decoder ring for all the advanced stats being thrown around? You're not alone. The world of hockey analytics has exploded, giving us incredible tools to look beyond goals and assists to understand what truly drives a player's and a team's performance. This glossary is your go-to guide for deciphering the key metrics that define how the Calgary Flames are really playing. Let's break down the numbers behind the game.
Corsi (CF%)
Corsi, often displayed as a percentage (CF%), measures shot attempt differential. It counts all shots on goal, missed shots, and blocked shots for and against a team when a specific player is on the ice. A CF% above 50% means the Flames are controlling the puck and generating more attempts than their opponents during that player's shift. It's a fundamental metric for evaluating territorial dominance and offensive pressure.
Fenwick (FF%)
Fenwick is similar to Corsi but excludes blocked shots, counting only shots on goal and missed shots. The thinking is that blocked shots can be a defensive skill, so Fenwick (FF%) might give a slightly clearer picture of "unblocked" shot attempts. For a team like the Flames, a high FF% suggests they are not only generating attempts but are also getting pucks through traffic and toward the net.
Expected Goals (xG)
Expected Goals is a predictive statistic that assigns a probability to every unblocked shot attempt based on historical data of similar shots (location, shot type, rebound, etc.). It tells us how many goals a player or team should have scored based on the quality of their chances. If Jonathan Huberdeau has a high individual xG, it means he's getting to high-danger areas consistently, even if the puck isn't going in just yet.
Goals For Percentage (GF%)
This one is simple but crucial: it's the percentage of all goals scored in a game that were scored by a player's team while they were on the ice at even strength. A GF% above 50% is the ultimate goal—it means the Flames are outscoring the opposition when that player is deployed. It’s the bottom-line result of all other underlying metrics.
PDO
PDO is the sum of a team's on-ice shooting percentage and save percentage at even strength. The league average is always 1000. A PDO significantly above 1000 often indicates a player or team is getting "lucky," while one below suggests they're "unlucky." It's a useful regressor; if the Flames have a sky-high PDO early in the 2023-24 NHL season, some regression to the mean is likely coming.
Goals Saved Above Expected (GSAx)
This is the gold standard for evaluating goaltenders like Jacob Markström. It uses the Expected Goals model to determine how many goals an average goalie would have allowed given the quality and quantity of shots faced. Markström’s GSAx tells us how many more (or fewer) goals he has prevented compared to that league-average baseline, isolating his performance from the team's defensive play.
High-Danger Chances (HDCF%)
This metric filters shot attempts to only those originating from the most dangerous areas on the ice (the slot and the crease). The percentage (HDCF%) shows what share of these premium chances a team gets when a player is on the ice. For a center like Nazem Kadri, driving a high HDCF% is a sign he's winning battles and creating opportunities in the most important areas.
Points Per 60 Minutes (P/60)
Instead of looking at raw point totals, P/60 measures a player's scoring rate (goals and assists) per sixty minutes of ice time. This levels the playing field between top-line players and depth contributors. It helps identify efficient scorers who might not get as much ice time, giving a clearer picture of offensive impact across the lineup.
On-Ice Shooting Percentage (oiSH%)
This is the shooting percentage of a player's entire team while they are on the ice at even strength. A very high oiSH% for a player like Connor Zary might mean his linemates are finishing at an unsustainable rate, while a very low one could indicate poor luck or a lack of high-quality linemates. It's a key component of PDO.
On-Ice Save Percentage (oiSV%)
Similarly, this is the save percentage of a player's goalie while that player is on the ice at even strength. A low oiSV% can make a defensively responsible player look bad on the scoresheet, as goals against pile up through no direct fault of their own. It’s the other half of the PDO calculation.
Zone Starts (Offensive Zone Start Percentage - OZS%)
This shows the percentage of a player's even-strength shifts that begin with a face-off in the offensive zone. Coaches like Ryan Huska use this to put players in positions to succeed. A high OZS% for offensive players means they're being deployed for scoring opportunities, while a low one for defensive specialists means they're tasked with heavy defensive-zone responsibility.
Relative Metrics (e.g., CF% Rel)
Relative stats (like Corsi Relative or xG Relative) measure how a team performs with a specific player on the ice versus when they are off the ice. A positive CF% Rel means the Flames control play better when that player is out there. It's a great way to see a player's individual impact on the team's overall performance.
Wins Above Replacement (WAR) / Goals Above Replacement (GAR)
These are catch-all, single-number metrics that attempt to quantify a player's total contribution to their team in terms of wins or goals, compared to a theoretical "replacement-level" player (like a minor-league call-up). It's useful for GM Conroy when evaluating overall player value, especially in contract or trade discussions.
Slot Shots
A subset of high-danger chances, slot shots are attempts specifically from the "home plate" area in front of the net. Tracking slot shots for and against is a direct measure of a team's ability to get to and defend the most valuable real estate on the ice. Generating these is a must for success in the tough Pacific Division.
Rush Chances
These are scoring chances that originate from a quick transition through the neutral zone with speed and space. A team that generates a lot of rush chances is typically playing a fast, north-south game. The Flames' ability to create (and limit) these can be a deciding factor in the fast-paced Battle of Alberta.
Cycle Chances
The opposite of rush chances, these are scoring opportunities generated from sustained offensive-zone pressure and puck possession along the walls and behind the net. A strong cycle game wears down defenses and is essential for playoff-style hockey in the Western Conference.
Face-Off Win Percentage (FO%)
While a traditional stat, its importance in advanced analysis is huge. Winning a defensive-zone draw can immediately alleviate pressure, while an offensive-zone win can directly lead to a scoring chance. It’s a key micro-stat that influences all the possession metrics that follow.
Giveaways/Takeaways
These stats track puck management. While notoriously subjective from one league arena to another, trends over time can show which players are effective at stealing pucks (takeaways) and which might be struggling with possession under pressure (giveaways). They are indicators of puck-support systems and individual decision-making.
Individual Expected Goals (ixG)
This narrows the Expected Goals model down to only the shots taken by a specific player. It tells us about the quality of that player's own shot selection. A forward with a high ixG total is consistently finding and firing from dangerous locations, which is a sustainable path to goal-scoring.
On-the-Fly Shift Starts (OTF%)
This percentage shows how many of a player's shifts start during the flow of play, not from a face-off. A high OTF% often indicates a coach trusts that player in all situations, as they are being put on the ice for strategic matchups or to capitalize on specific in-game momentum swings.
Penalty Differential
This is the difference between penalties drawn and penalties taken. A player with a strong positive penalty differential is using their skill and speed to force opponents into infractions, providing the Flames with more power-play opportunities—a critical advantage.
Scoring Chances For/Against (SCF/SCA)
A broader category than High-Danger Chances, this counts any shot attempt from a "home" or "dangerous" area. Tracking the ratio (SCF%) gives a general sense of which team is creating more quality looks during a player's minutes. It's a core metric for evaluating two-way play.
Time on Ice (TOI) & Average Time on Ice (ATOI)
While simple, context is everything. Seeing a player's total and average ice time—and especially breaking it down into Even Strength (EV), Power Play (PP), and Short-Handed (SH) TOI—shows you exactly how head coach Huska is utilizing his roster and who he considers his most dependable players in all situations.
So, the next time you see a tweet about the Flames' sinking PDO or a deep dive on Markström's stellar GSAx, you'll be equipped to join the conversation. These stats aren't meant to replace the thrill of a last-minute goal at the Scotiabank Saddledome or the roar of the C of Red, but they give us a powerful new lens to understand how those moments are created. By blending the eye test with this data, we get the fullest picture of our team's journey.
Reader Comments (0)