Per 82 GP	2026-27projection	2025-2682 GP	H242 GP	H140 GP	Prev 3233 GP · 3y
TOI	13.34	12.91	11.20	14.23	16.34
PP TOI	1.22	1.17	1.03	1.32	1.78
G	14	17	14	20	17
A	16	16	16	16	21
PTS	30	33	29	37	38
PPP	7	8	6	10	9
SOG	132	132	119	145	177
PIM	14	16	12	21	21
Hits	140	155	161	149	115
Blocks	46	32	30	34	70

Sample: 82 GP · 940 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingLeft wing · league-wide (of 281)

135Eetu Luostarinen-3

136Michael Bunting-4

137Andrei Kuzmenko-6

138Fabian Zetterlund-7

139Alex Killorn-8

140Nick Foligno-8

141Jeff Malott-8

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

We project it up

BLK

all5v5

We’re projecting blocks 44% above last season, 32 to 46.

Second-half fade

PPP

Power play points ran at a 6 pace in the second half after 10 in the first, per 82 games.

Above his 3-year rate

Hits/60

Hits/60 ran 64% above his 3-year rate last season (9.77 against 5.97).

Second-half surge

iSH%

iSH% finished the year 40% above where it started (8.32 in the first half, 11.67 in the second). The projection leans on how the season ended, so the second half counts for more.

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

Emil HeinemanLW,RW · New York Islanders90% match
shared: Hits, Blocks
Charlie CoyleC,RW · Columbus Blue Jackets87% match
shared: Blocks, Hits
Mackie SamoskevichLW,RW · Seattle Kraken86% match
shared: Hits
Alex LaferriereC,LW,RW · Los Angeles Kings84% match
shared: Hits, Blocks

Complementary Forward

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

Evgeni MalkinC,LW · Pittsburgh Penguinscovers 3
fills: A, PIM, PPP
Gavin McKennaLW · Toronto Maple Leafscovers 3
fills: A, PPP, PIM
Matvei MichkovLW,RW · Philadelphia Flyerscovers 2
fills: PIM, A
Dylan StromeC · Washington Capitalscovers 2
fills: PPP, 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 · Travis Green (OTT)

Last year: Travis Green full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	13.34	12.91	16.34	-21%
5v5 TOI	11.09	11.46	13.56	-15%
PP TOI	1.22	1.17	1.78	-34%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 20 · 22 · 20

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 → 13.34: holds last year's role
5v5 TOI → 11.09: role tapered late (Q4 10.1 vs 11.5 full-year) — projected toward the softer finish
PP TOI → 1.22: role tapered late (Q4 1.2 vs 1.2 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	6.96	6.96	7.56	-8%
G/60	0.70	0.77	0.63	+23%
iSH%	10.01	11.06	8.29	+33%
ixG/60	–	0.81	0.80	+1%
iCF/60	–	14.30	15.16	-6%
iSCF/60	–	7.85	7.98	-2%
iHDCF/60	–	3.19	3.25	-2%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 20 · 22 · 20

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)

RiskGoals projected DOWN: iSH% ran hot at 11.1% vs a 8.3% 3-yr mark while 5v5 ixG/60 0.81 (78th pct league-wide) was flat — finishing, not process. Regressing iSH% toward 10.0% pulls the goal rate ~10% down.

TailwindTrajectory: 5v5 ixG/60 climbed 0.71→0.93 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%	9.63	10.08	9.08	+11%
IPP	56.72	55.75	57.90	-4%
1A/60	0.58	0.57	0.59	-3%
2A/60	0.27	0.26	0.23	+14%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 20 · 22 · 20

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% 10.1%, IPP 55.7%).

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	1.22	1.17	1.78	-34%
PP iSH%	17.38	26.30	15.56	+69%
PP SOG/60	11.61	11.90	11.17	+7%
PP ixG/60	–	1.97	1.83	+7%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 20 · 22 · 20

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)

ContextPP role steady at ~1.2 PP TOI/gp.

RiskPP finishing ran hot (26.3% vs 15.6% 3-yr) with flat PP chances (PP ixG/60 1.97) — expect PP goals to cool.

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	0.81	1.02	0.97	+6%
Hits/60	9.08	9.77	5.97	+64%
Blks/60	2.58	1.91	3.69	-48%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 20 · 22 · 20

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)

TailwindHits surging late: Q4 12.14/60 and 2nd-half 11.46 vs a 9.77 season rate (5.97 3-yr) (85th pct league-wide) — reads as a real role/confidence step, so projected UP to 9.08/60, weighting the finish over the 3-yr baseline.

ContextBlocks role-stable at 1.91/60 (30th pct league-wide) → 2.58 projected.