Power play vs penalty kill explained

Two sides of the same whistle

A penalty creates a temporary manpower imbalance. The team with the extra skater runs a power play (PP). The team down a skater runs a penalty kill (PK). Staff shorthand — “PP1”, “PK2”, “how is our PK?” — always points back to that split.

Results rates get quoted first: power-play percentage (PP%) and penalty-kill percentage (PK%). Both answer “did we score / did we survive?” They do not answer “was the process repeatable?”

What coaches usually need

Coaches care whether the unit looks organized under pressure: entries and exits, faceoff plays, net-front coverage, and whether the same mistakes repeat after video. A cold PK% week can be variance; a week of failed clears and slot chances against is a practice plan.

• →PP: are controlled entries creating slot looks, or only perimeter volume?
• →PK: are clears and sticks breaking plays before high-danger chances form?
• →Both: do personnel choices match the matchup, not last week’s narrative?

What analysts and scouts usually need

Analysts pair the percentage with process metrics available in the club’s sources — expected goals on special teams when the tracking feed provides them, high-danger chances, shot shares while shorthanded or with the man advantage. Scouts watch habits: box structure, stick detail, scramble recovery.

When those signals live in separate exports (league box scores, tracking, video tags, a scouting sheet), comparing units across games becomes a join problem. The Hockey Brain’s job is not to invent a new special-teams model — it is to land the sources the club already pays for into one owned database with one player ID, so staff can open the same table in Power BI, Excel or Claude.

Honest product status

No connector is live yet. The Hockey Brain lists every named product as Planned or Exploring — intended compatibility only, not a partnership.