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The anatomy of a power-play riser, measured over four seasons

79 times in the last four season pairs, a skater's power-play scoring rose by at least 0.15 points per game. This page prints what the official record shows around those jumps — which factor repeats in every pair, which popular explanations do not, and what happened the season after.

By Rich Jasinski · 30 September 2026 · updated nightly while the season runs

The rule that defines a riser is arithmetic, stated once: PP points per game up by 0.15+ between consecutive seasons, 40+ games played in both. No scouting, no adjectives — every skater who clears the bar is in, all 79 of them. A pattern is only called a pattern here when it repeats in every one of the 4 measured season pairs; anything less is printed with its count.

The factor that repeats: the ice time moved first

In every measured pair, risers were far more often skaters whose share of their club's PP ice time had just grown — 52% to 91% of risers, against 10% to 14% of everyone eligible. The box score shows the points after they arrive; the deployment shows the job change as it happens, and this site tracks deployment nightly all season.

The one factor that repeats in every measured season pair: the ice time moved before or with the points. Official PP time-on-ice shares, league's own record.
seasonsrisersqualifiersrisers whose PP time share roseall qualifiers
2021-22 → 2022-232550160%14%
2022-23 → 2023-241850567%10%
2023-24 → 2024-251149991%12%
2024-25 → 2025-262550052%12%

The factors that do not repeat

Two explanations that travel well in August — a change of scenery, a new voice behind the bench — do not hold up as league-wide patterns across these four pairs:

Changed clubs runs ahead of the field in only 2 of 4 pairs; a new head coach over the same room in 3 of 4. Neither repeats the way ice time does, and this page says so rather than rounding either up to a rule.
factorseasonsamong risersamong all qualifiers
changed clubs2021-22 → 2022-2316%26%
changed clubs2022-23 → 2023-2433%25%
changed clubs2023-24 → 2024-2536%33%
changed clubs2024-25 → 2025-268%23%
same club, new head coach2021-22 → 2022-2344%28%
same club, new head coach2022-23 → 2023-246%25%
same club, new head coach2023-24 → 2024-2546%29%
same club, new head coach2024-25 → 2025-2652%20%

Age: younger than the field, wider than the folklore

The median riser was 26 on 1 October of his jump season, with 7 NHL seasons behind him — younger than the median qualifier at 29. But the jumps span ages 20 to 39: the record contains third-season jumps and thirteenth-season jumps, and a rule of thumb that names one right year has no support here.

What happened next — and what the luck tells did not tell

Of the 50 jumps old enough to have a next season on the record, 25 held and 25 fell back — an even split. The two most-quoted screening numbers read almost identically on both sides of it:

Second and third rows are the two most-quoted luck tells — and across these fifty jumps they read almost identically for the half that held and the half that fell. The shot-volume line is where the halves differ. Fifty jumps is fifty jumps: medians, not a law.
measureheldfell back
jumps with a measured next season50
held (stayed above the jump's midpoint)2550%
median second-assist share in the jump season0.470.46
median PP shooting percentage in the jump season18%19%
median change in PP shots per game+0.31+0.16

The fifteen largest jumps, with their deployment

The fifteen largest measured jumps in the window. Read the ice-time column against the points column: the promotion is usually visible in the same row.
playerposseasonsPP points per gameshare of club PP timeagenext season
Connor McDavidC2021-22 → 2022-230.55 → 0.8780% → 80%250.58 (fell back)
Brandon MontourD2021-22 → 2022-230.10 → 0.4127% → 75%280.26 (held)
Martin NecasC2023-24 → 2024-250.17 → 0.4744% → 75%250.31 (fell back)
Ryan Nugent-HopkinsC2021-22 → 2022-230.36 → 0.6580% → 78%290.33 (fell back)
Gustav NyquistR2022-23 → 2023-240.02 → 0.3039% → 57%340.04 (fell back)
Evan BouchardD2022-23 → 2023-240.16 → 0.4346% → 78%230.32 (held)
Miro HeiskanenD2021-22 → 2022-230.16 → 0.4348% → 64%230.30 (held)
Artturi LehkonenL2021-22 → 2022-230.04 → 0.3120% → 67%270.27 (held)
Jason RobertsonL2024-25 → 2025-260.23 → 0.5060% → 81%26—
Martin NecasC2021-22 → 2022-230.05 → 0.3237% → 59%230.17 (fell back)
Leon DraisaitlC2021-22 → 2022-230.51 → 0.7883% → 80%260.48 (fell back)
Lucas RaymondL2023-24 → 2024-250.20 → 0.4550% → 67%220.34 (held)
Charlie McAvoyD2024-25 → 2025-260.08 → 0.3362% → 62%27—
Mikhail SergachevD2021-22 → 2022-230.09 → 0.3430% → 48%24—
Ryan O'ReillyC2022-23 → 2023-240.09 → 0.3438% → 63%320.21 (fell back)

Window: the five committed seasons 2021-22 through 2025-26, giving 4 season pairs. All inputs are the league's official reports — skater summaries, PP ice time, bios, per-game coach identity — committed to this site's history and recomputed at every build; thresholds are stated in the text and applied mechanically. This page measures what preceded and followed past jumps; it names no future ones. See how this site measures.

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8 games measured · 0 quarantined · every threshold published