Per 82 GP	2026-27projection	2025-2681 GP	H239 GP	H142 GP	Prev 3239 GP · 3y
TOI	16.53	16.60	16.89	15.38	16.07
PP TOI	1.14	1.05	1.08	1.02	1.45
G	20	24	32	17	20
A	17	20	20	21	16
PTS	37	44	52	37	36
PPP	3	1	2	0	7
SOG	151	142	150	134	154
PIM	53	46	69	25	38
Hits	213	215	216	213	193
Blocks	55	53	48	57	53

Sample: 81 GP · 998 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingLeft wing · league-wide (of 281)

59Blake Coleman41

60Jason Zucker40

61Jeffrey Viel40

62Lawson Crouse39

63Valeri Nichushkin38

64Alex Steeves38

65Tyson Foerster36

offenseperipheralsvalue over replacement

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 surge

PIM

all5v5

Penalty minutes ran at a 69 pace in the second half after 25 in the first, per 82 games.

Second-half surge

all5v5

Goals ran at a 32 pace in the second half after 17 in the first, per 82 games.

Above his 3-year rate

1A/60

1A/60 ran 73% above his 3-year rate last season (0.78 against 0.45).

Below his 3-year rate

PP TOI

PP TOI ran 27% below his 3-year rate last season (1.05 against 1.45).

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 Forward

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

Scott LaughtonLW · Los Angeles Kings93% match
shared: Hits, Blocks, PIM
Will CuylleLW,RW · New York Rangers91% match
shared: Hits, Blocks, PIM
Jake NeighboursLW,RW · St. Louis Blues91% match
shared: Hits, Blocks, PIM
Vasily PodkolzinLW,RW · Edmonton Oilers90% match
shared: Hits, Blocks, PIM

Complementary Forward

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

Jack HughesC,LW · New Jersey Devilscovers 3
fills: SOG, PPP, A
Artemi PanarinLW · Los Angeles Kingscovers 3
fills: A, PPP, SOG
Jack EichelC · Vegas Golden Knightscovers 3
fills: SOG, A, PPP
William NylanderRW · Toronto Maple Leafscovers 3
fills: PPP, SOG, A

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 · André Tourigny (UTA)

Last year: André Tourigny full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	16.53	16.60	16.07	+3%
5v5 TOI	12.73	12.32	12.36	-0%
PP TOI	1.14	1.05	1.45	-27%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 20 · 19

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 → 16.53: holds last year's role
5v5 TOI → 12.73: same coach (André Tourigny) — carries the elevated finish (2nd half 13.1, Q4 13.0) over the full-year 12.3
PP TOI → 1.14: same coach (André Tourigny) — carries the elevated finish (2nd half 1.1, Q4 1.2) over the full-year 1.0

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	6.97	6.97	7.59	-8%
G/60	1.03	1.20	0.81	+48%
iSH%	14.74	17.22	10.70	+61%
ixG/60	–	1.05	0.81	+30%
iCF/60	–	14.25	13.56	+5%
iSCF/60	–	9.50	8.65	+10%
iHDCF/60	–	5.59	3.78	+48%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 20 · 19

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)

TailwindProcess rising: 5v5 ixG/60 1.05 (96th pct league-wide) up on the 3-yr 0.81 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.

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%	11.38	11.97	8.69	+38%
IPP	63.47	63.61	62.54	+2%
1A/60	0.58	0.78	0.45	+73%
2A/60	0.23	0.24	0.26	-9%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 20 · 19

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)

RiskOn-ice SH% hot at 12.0% vs a 8.7% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.

TailwindHigh-danger setups up (iHDCF/60 5.59 vs 3.78) — the dangerous chances that turn into primary assists are trending up.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	1.14	1.05	1.45	-27%
PP iSH%	22.34	11.16	30.43	-63%
PP SOG/60	7.43	6.36	7.99	-20%
PP ixG/60	–	1.74	1.28	+36%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 20 · 19

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)

TailwindPP role projected up: 1.0→1.1 PP TOI/gp (same coach (André Tourigny) — carries the elevated finish (2nd half 1.1, Q4 1.2) over the full-year 1.0) — the biggest PPP lever.

TailwindPP finishing ran cold (11.2% vs 30.4%) over steady PP chances — PP goals should rebound.

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	3.44	2.64	2.03	+30%
Hits/60	11.42	11.90	10.70	+11%
Blks/60	2.17	2.16	2.32	-7%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 20 · 19

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)

TailwindElite hits volume (89th pct) and role-stable — a bankable hits floor (11.42/60 projected).

RiskBlocks tailing off: Q4 1.94/60 and 2nd-half 1.77 below the 2.16 season rate — projected DOWN to 2.17/60, weighting the recent decline over the 2.32 3-yr mark.

TailwindFights / takes majors (0.12/60) — a real PIM source, valuable in banger and PIM formats.