Per 82 GP	2026-27projection	2025-2668 GP	H225 GP	H143 GP	Prev 3thin
TOI	17.35	16.21	13.78	16.79	–
PP TOI	1.77	1.75	1.67	1.79	–
G	9	8	10	8	–
A	13	17	10	21	–
PTS	22	25	19	28	–
PPP	4	8	3	11	–
SOG	87	82	75	86	–
PIM	24	22	13	27	–
Hits	19	21	19	22	–
Blocks	60	65	46	76	–

Sample: 68 GP · 928 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

268Trevor van Riemsdyk-48

269Henry Brzustewicz-48

270Ethan Del Mastro-49

271Axel Sandin-Pellikka-49

272Hunter Brzustewicz-49

273Jake Bean-50

274Ian Moore-51

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 fade

PPP

Power play points ran at a 3 pace in the second half after 11 in the first, per 82 games.

Second-half fade

all5v5

Assists ran at a 10 pace in the second half after 21 in the first, per 82 games.

We project it up

all5v5

We’re projecting goals 12% above last season, 8 to 9.

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

Owen PowerD · Buffalo Sabres80% match
Simon NemecD · Calgary Flames74% match
Vladislav GavrikovD · New York Rangers74% match
Carter YakemchukD · Ottawa Senators70% match

Complementary Defense

Same position, opposite profile — strong where Axel Sandin-Pellikka is weak or average, light where he’s strong

Dougie HamiltonD · New Jersey Devilscovers 4
fills: SOG, PIM, A, Hits
Brandon MontourD · Seattle Krakencovers 3
fills: SOG, PIM, Hits
Rasmus DahlinD · Buffalo Sabrescovers 3
fills: A, PIM, SOG
Lian BichselD · Dallas Starscovers 2
fills: Hits, PIM

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
TOI	17.35	16.21	n/a
5v5 TOI	13.11	13.65	n/a
PP TOI	1.77	1.75	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 5

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 → 17.35: one NHL season — role grown +7% toward a sophomore workload
5v5 TOI → 13.11: role tapered late (Q4 13.3 vs 13.7 full-year) — projected toward the softer finish
PP TOI → 1.77: role tapered late (Q4 1.6 vs 1.7 full-year) — projected toward the softer finish; one NHL season — role grown +7% toward a sophomore workload

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
SOG/60	3.92	3.81	n/a
G/60	0.40	0.39	n/a
iSH%	10.24	10.24	n/a
ixG/60	–	0.16	n/a
iCF/60	–	10.99	n/a
iSCF/60	–	2.84	n/a
iHDCF/60	–	0.19	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 5

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)

TailwindTrajectory: 5v5 ixG/60 climbed 0.17→0.23 across the year — process trending the right way into next season.

TailwindAge 21 — still on the up-slope of the scoring curve.

TailwindAge 21 on a single NHL season — projected a development step, not a flat repeat: scoring rates +10% and role +7% toward the mid-20s peak (a young riser improves on last year, not repeats it).

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
on-ice SH%	7.81	7.81	n/a
IPP	42.25	42.25	n/a
1A/60	0.26	0.26	n/a
2A/60	0.26	0.26	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 5

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% 7.8%, IPP 42.3%).

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
PP TOI	1.77	1.75	n/a
PP iSH%	11.01	11.01	n/a
PP SOG/60	4.61	4.54	n/a
PP ixG/60	–	0.68	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 5

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 ~1.8 PP TOI/gp.

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
PIMs/60	1.22	1.16	n/a
Hits/60	0.97	0.97	n/a
Blks/60	3.09	3.17	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 5

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)

RiskBottom-of-league hits (6th pct) — no meaningful floor here, don't draft for it.

RiskBlocks tailing off: Q4 2.71/60 and 2nd-half 2.67 below the 3.17 season rate — projected DOWN to 3.09/60, weighting the recent decline over the n/a 3-yr mark.