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

Above his 3-year rate

iSH%

iSH% ran 136% above his 3-year rate last season (9.04 against 3.83).

Second-half fade

all5v5

Assists ran at a 7 pace in the second half after 19 in the first, per 82 games.

Second-half fade

1A/60

1A/60 finished the year 67% below where it started (0.81 in the first half, 0.27 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate

Blks/60

Blks/60 ran 51% below his 3-year rate last season (1.51 against 3.08).

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

Jonah GadjovichLW,RW · Florida Panthers97% match
shared: PIM, Hits
Michael PezzettaLW,RW · Toronto Maple Leafs95% match
shared: PIM, Hits
Jacob MelansonRW · Seattle Kraken94% match
shared: Hits, PIM
A.J. GreerLW · Anaheim Ducks94% match
shared: PIM, Hits

Complementary Forward

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

Jack HughesC,LW · New Jersey Devilscovers 4
fills: SOG, PPP, A, G
Jack EichelC · Vegas Golden Knightscovers 4
fills: SOG, A, PPP, G
Artemi PanarinLW · Los Angeles Kingscovers 4
fills: A, PPP, SOG, G
Kyle ConnorLW · Winnipeg Jetscovers 4
fills: SOG, G, A, PPP

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 · Jim Montgomery (STL)

Last year (ANA, traded): Joel Quenneville full season (1st yr) — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	9.44	9.74	8.39	+16%
5v5 TOI	9.44	9.62	8.26	+16%
PP TOI	0.03	0.03	0.03	+0%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 1

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 → 9.44: holds last year's role
5v5 TOI → 9.44: holds last year's role
PP TOI → 0.03: role tapered late (Q4 0.0 vs 0.0 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	3.10	3.32	3.40	-2%
G/60	0.22	0.30	0.13	+130%
iSH%	7.06	9.04	3.83	+136%
ixG/60	–	0.49	0.41	+19%
iCF/60	–	7.14	7.00	+2%
iSCF/60	–	4.53	4.45	+2%
iHDCF/60	–	2.62	2.69	-3%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 1

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 0.49 (37th pct league-wide) up on the 3-yr 0.41 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.

ContextTrajectory: 5v5 ixG/60 fell from 0.54 (1st half) to 0.41 (2nd).

RiskAge 32 — modest past-prime drag on scoring rates.

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%	9.93	12.29	5.16	+138%
IPP	51.33	51.84	49.79	+4%
1A/60	0.45	0.60	0.20	+207%
2A/60	0.29	0.50	0.20	+156%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 1

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 12.3% vs a 5.2% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.

RiskAssist gain leans on secondary helpers (2A/60 0.50 vs 3-yr 0.20) — the least repeatable slice; projected back toward baseline.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	0.03	0.03	0.03	+0%
PP iSH%	–	n/a	0.00
PP SOG/60	3.88	0.00	15.52	-100%
PP ixG/60	–	2.15	2.12	+1%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 1

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

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	11.02	10.77	12.24	-12%
Hits/60	17.73	19.32	17.67	+9%
Blks/60	1.76	1.51	3.08	-51%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 1

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 (98th pct) and role-stable — a bankable hits floor (17.73/60 projected).

RiskBlocks tailing off: Q4 1.10/60 and 2nd-half 1.10 below the 1.51 season rate — projected DOWN to 1.76/60, weighting the recent decline over the 3.08 3-yr mark.

TailwindFights / takes majors (1.11/60) — a real PIM source, valuable in banger and PIM formats.