Fenwick Calculator

Enter your team's unblocked shot attempts for (FF) and unblocked shot attempts against (FA) to calculate your Fenwick (USAT) differential, Fenwick For %, and Fenwick Against %. Used widely in hockey analytics, the Fenwick Calculator helps you measure puck possession and shot attempt dominance by excluding blocked shots from the equation.

Total unblocked shot attempts taken by your team (goals + saved shots + missed shots — excludes blocked shots).

Total unblocked shot attempts allowed by your team (goals + saved shots + missed shots — excludes blocked shots).

Enter total minutes to calculate Fenwick For per 60 (FF/60) and Fenwick Against per 60 (FA/60).

Results

Fenwick Differential (FF - FA)

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Fenwick For % (FF%)

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Fenwick Against % (FA%)

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Fenwick For per 60 (FF/60)

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Fenwick Against per 60 (FA/60)

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Fenwick For vs. Fenwick Against

Frequently Asked Questions

What is Fenwick (USAT) in hockey?

Fenwick, also called USAT (Unblocked Shot Attempt Total), is a hockey analytics metric that counts all shot attempts that were not blocked — including goals, saved shots, and missed shots. It was named after Tim Fenwick, who popularized it in the hockey analytics community. Unlike Corsi, Fenwick excludes blocked shots on the theory that they are partially influenced by the shooting team's decision-making.

How is Fenwick calculated?

Fenwick For (FF) = Goals For + Saved Shots For + Missed Shots For. Fenwick Against (FA) = Goals Against + Saved Shots Against + Missed Shots Against. The Fenwick Differential is simply FF minus FA, and Fenwick For % (FF%) is calculated as FF ÷ (FF + FA) × 100. A FF% above 50% indicates your team is generating more unblocked shot attempts than it concedes.

What is a good Fenwick For % (FF%)?

A FF% above 50% is considered a positive indicator — it means your team controls the shot attempt share when blocked shots are excluded. Elite NHL teams typically sustain FF% values of 52–55%+ over a full season. Values below 47% may suggest a team is being heavily outplayed in terms of possession and shot generation.

What is the difference between Fenwick and Corsi?

Both Corsi and Fenwick measure shot attempt differential, but Corsi includes blocked shots while Fenwick does not. Corsi = goals + saved shots + missed shots + blocked shots. Fenwick = goals + saved shots + missed shots (no blocked shots). Some analysts prefer Fenwick because blocked shots can be partially influenced by the shooting team's strategy, making Fenwick a slightly cleaner measure of shot quality and intent.

What does the Fenwick Differential tell you?

The Fenwick Differential (FF − FA) shows the raw net advantage in unblocked shot attempts. A positive number means your team is out-attempting opponents when blocks are excluded. It's a direct measure of territorial puck dominance and is commonly used to evaluate both team and individual player performance in hockey analytics.

What is FF/60 and FA/60?

FF/60 is Fenwick For per 60 minutes of ice time, and FA/60 is Fenwick Against per 60 minutes. These rate stats normalize shot attempt data across different amounts of ice time, making it easier to compare players or lines who have played different minutes. Higher FF/60 values indicate a more offensively active presence, while lower FA/60 values indicate better defensive shot suppression.

Is Fenwick a reliable predictor of future success?

Yes — Fenwick For % has been shown to correlate with future winning percentage better than goals-based metrics in small sample sizes, because goal-scoring contains more randomness (luck) over short stretches. Over full seasons, teams with strong FF% tend to sustain better records. However, Fenwick is not perfect and should be used alongside other advanced stats like expected goals (xG) for a fuller picture.

Can Fenwick be used to evaluate individual players?

Yes. Individual Fenwick stats (iFF — individual Fenwick For) track how many unblocked shot attempts a specific player generates. On-ice Fenwick metrics track a team's FF% while a particular player is on the ice, helping coaches identify which players drive possession. Players with consistently high on-ice FF% are generally considered to be strong possession drivers.

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