Counts = projected deployment × projected /60 rate, per 82 GP. Rates regress off the process metric (ixG, shot-driving), not last year's finishing %. PP points = projected PP rate (anchored on the 2nd-half PP1 role, finishing regressed) × projected PP TOI.

Metrics worth highlighting

The charts that move this projection — where he broke from his own 3-year rate, where the season split in half, and where we’re taking the number next year

Second-half fade

all5v5

Assists ran at a 5 pace in the second half after 10 in the first, per 82 games.

Second-half fade

Blks/60

Blks/60 finished the year 48% below where it started (4.88 in the first half, 2.52 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate

iSH%

iSH% ran 49% below his 3-year rate last season (3.24 against 6.40).

Below his 3-year rate

PIMs/60

PIMs/60 ran 56% below his 3-year rate last season (0.84 against 1.90).

Picked automatically from every chart on this card, ranked by how far each number moved. Each claim is measured off the chart drawn beside it.

Similar & complementary players

Similar makeup Defense

Closest across all seven categories — match % is the whole-profile fit

Rasmus RistolainenD · Philadelphia Flyers78% match
Braden SchneiderD · New York Rangers77% match
Timothy LiljegrenD · Washington Capitals73% match
Vladislav GavrikovD · New York Rangers72% match

Complementary Defense

Same position, opposite profile — strong where Albert Johansson is weak or average, light where he’s strong

Quinn HughesD · Minnesota Wildcovers 3
fills: A, PPP, SOG
Zach WerenskiD · Columbus Blue Jacketscovers 3
fills: SOG, A, PPP
Evan BouchardD · Edmonton Oilerscovers 3
fills: A, PPP, SOG
Erik KarlssonD · Pittsburgh Penguinscovers 3
fills: A, PPP, SOG

Profile shape — per-82 category values vs the league p99 for the position (same scale as the hero bars)

This player

the profile below

vs Similar

similar players hug the shape

vs Complementary

complements fill the gaps

Deployment

Deployment projection — next-year TOI & PP TOI vs the last two years (the role that drives every count)

Coaching

2026-27 · Todd McLellan (DET)

Last year: Todd McLellan full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	15.99	15.94	16.36	-3%
5v5 TOI	13.97	13.98	15.55	-10%
PP TOI	0.16	0.20	0.07	+188%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 21 · 18

TOI*

5v5 TOI

PP TOI

*Total TOI by quarter reconstructs 5v5+PP quarterly totals plus a held-flat season PK/GP — NST has no all-strength quarterly export. Level is accurate; quarter-to-quarter movement comes from 5v5+PP.

By season — year over year

TOI

5v5 TOI

PP TOI

TOI → 15.99: holds last year's role
5v5 TOI → 13.97: holds last year's role
PP TOI → 0.16: role tapered late (Q4 0.0 vs 0.2 full-year) — projected toward the softer finish

Shooting — volume & conversion

How much and how well he shoots — volume (SOG), finishing (% vs chance quality), and the individual shot-quality funnel (iCF ⊇ iSCF ⊇ iHDCF).

Metric (5v5)	26-27 proj	2025-26	Prev 3	Diff
SOG/60	3.09	3.09	2.97	+4%
G/60	0.14	0.10	0.19	-47%
iSH%	4.82	3.24	6.40	-49%
ixG/60	–	0.15	0.13	+15%
iCF/60	–	8.74	8.16	+7%
iSCF/60	–	2.36	2.15	+10%
iHDCF/60	–	0.47	0.06	+683%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 21 · 18

SOG/60

iSH%

ixG/60

iCF/60

iSCF/60

iHDCF/60

By season — year over year

SOG/60

iSH%

ixG/60

iCF/60

iSCF/60

iHDCF/60

Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection

all5v5

SOG

all5v5

The blue 26-27 point is our projection. The bold line is all situations; the muted line under it is 5v5 alone, so the gap between them is his special-teams production. Full seasons are true per-82 counts; the 2025-26 H1/H2 reconstruct all-strength from the 5v5+PP quarterly exports plus the season's held-flat PK/other. The projected 5v5 point is the engine's even-strength share of the total, converted to 5v5 by his own 5v5-to-even-strength split, so overtime and 4-on-4 scoring stays out of it.

Regression read — where next year's /60 rate lands and why (process over finishing)

TailwindGoals projected UP: iSH% cratered to 3.2% vs 6.4% 3-yr while 5v5 ixG/60 0.15 (13th pct league-wide) held/rose — the chances say the finishing rebounds toward 4.8%, lifting the goal rate ~35%.

TailwindTrajectory: 5v5 ixG/60 climbed 0.14→0.18 across the year — process trending the right way into next season.

Assists — playmaking & on-ice offense

Primary vs secondary helpers, plus the on-ice offense and luck signals underneath them.

Metric (5v5)	26-27 proj	2025-26	Prev 3	Diff
on-ice SH%	7.03	6.92	7.72	-10%
IPP	28.86	29.01	27.87	+4%
1A/60	0.12	0.16	0.06	+167%
2A/60	0.24	0.21	0.25	-16%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 21 · 18

1A/60

2A/60

By season — year over year

1A/60

2A/60

Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection

all5v5

PTS

all5v5

Regression read — where next year's /60 rate lands and why (process over finishing)

ContextAssist environment looks normal (on-ice SH% 6.9%, IPP 29.0%).

TailwindHigh-danger setups up (iHDCF/60 0.47 vs 0.06) — the dangerous chances that turn into primary assists are trending up.

ContextDefenseman — weight transition/PP facilitation over raw 2A; secondary assists read a touch better for D than forwards.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	0.16	0.20	0.07	+188%
PP iSH%	0.00	0.00	0.00
PP SOG/60	1.04	3.60	13.95	-74%
PP ixG/60	–	0.66	0.29	+128%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 21 · 18

PP TOI/GP

PP SOG/60

PP ixG/60

By season — year over year

PP TOI/GP

PP SOG/60

PP ixG/60

Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection

PPP

PPG

PPA

The blue 26-27 point is our projection. PPG and PPA are the 2 halves of the PPP above them, split by the projection's own goal/assist mix. PP-only, so the halves are exact.

Regression read — where next year's /60 rate lands and why (process over finishing)

RiskPP role projected down: 0.2→0.2 PP TOI/gp (role tapered late (Q4 0.0 vs 0.2 full-year) — projected toward the softer finish) — the biggest PPP lever.

TailwindPP chance quality up (PP ixG/60 0.66 vs 0.29) — a real process gain, the kind that sustains PP points.

Physical — PIM · hits · blocks

Peripheral counting categories. Noisier and scorer-biased — read as role over the years, not pure talent.

Metric (5v5)	26-27 proj	2025-26	Prev 3	Diff
PIMs/60	1.13	0.84	1.90	-56%
Hits/60	2.74	2.57	4.11	-37%
Blks/60	3.34	3.82	4.43	-14%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 21 · 18

PIMs/60

Hits/60

Blks/60

By season — year over year

PIMs/60

Hits/60

Blks/60

Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection

PIM

all5v5

HITS

all5v5

BLK

all5v5

Regression read — where next year's /60 rate lands and why (process over finishing)

RiskHits tailing off: Q4 2.05/60 and 2nd-half 1.88 below the 2.57 season rate — projected DOWN to 2.74/60, weighting the recent decline over the 4.11 3-yr mark.

RiskBlocks tailing off: Q4 1.79/60 and 2nd-half 2.52 below the 3.82 season rate — projected DOWN to 3.34/60, weighting the recent decline over the 4.43 3-yr mark.