Per 82 GP	2026-27projection	2025-2673 GP	H230 GP	H143 GP	Prev 3209 GP · 3y
TOI	10.44	10.47	10.18	10.50	11.70
PP TOI	0.02	0.01	0.01	0.02	0.26
G	8	10	23	1	7
A	9	8	5	10	9
PTS	17	18	28	11	17
PPP	0	0	0	0	0
SOG	81	84	84	84	89
PIM	77	73	82	67	97
Hits	125	119	119	119	158
Blocks	35	39	32	44	40

Sample: 73 GP · 683 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingCentre · league-wide (of 271)

144Philipp Kurashev-23

145Alex Newhook-23

146Zemgus Girgensons-23

147Sam Carrick-23

148Jean-Gabriel Pageau-23

149Yegor Sharangovich-25

150Dalibor Dvorsky-25

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

Above his 3-year rate

iSH%

iSH% ran 73% above his 3-year rate last season (11.73 against 6.77).

Above his 3-year rate

ixG/60

ixG/60 ran 36% above his 3-year rate last season (0.73 against 0.54).

Bottom of the league

PP TOI

PP TOI sits in the 5th percentile league-wide (0.01).

Second-half fade

BLK

all5v5

Blocks ran at a 32 pace in the second half after 44 in the first, per 82 games.

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

Josh AndersonLW,RW · Montreal Canadiens93% match
shared: PIM, Hits
Zachary L'HeureuxLW,RW · Colorado Avalanche92% match
shared: PIM, Hits
Jeffrey VielLW · Tampa Bay Lightning92% match
shared: PIM, Hits
Scott SabourinRW · Tampa Bay Lightning91% match
shared: PIM, Hits

Complementary Forward

Same position, opposite profile — strong where Sam Carrick 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 · Lindy Ruff (BUF)

Last year (NYR, traded): Lindy Ruff BUF · pre-trade → Mike Sullivan NYR · acquired mid-season (small sample) — in-season change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	10.44	10.47	11.70	-11%
5v5 TOI	9.41	9.36	9.77	-4%
PP TOI	0.02	0.01	0.26	-95%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 11

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 → 10.44: holds last year's role
5v5 TOI → 9.41: holds last year's role
PP TOI → 0.02: 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	5.79	5.97	5.64	+6%
G/60	0.57	0.70	0.38	+84%
iSH%	9.84	11.73	6.77	+73%
ixG/60	–	0.73	0.54	+36%
iCF/60	–	11.94	10.34	+16%
iSCF/60	–	6.41	5.14	+25%
iHDCF/60	–	3.95	2.88	+37%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 11

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 0.73 (65th pct league-wide) up on the 3-yr 0.54 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.

ContextTrajectory: 5v5 ixG/60 fell from 0.81 (1st half) to 0.65 (2nd) even though shot volume held — a chance-quality dip, not a volume one.

RiskAge 34 — 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%	8.16	8.95	6.47	+38%
IPP	57.16	56.44	59.47	-5%
1A/60	0.31	0.26	0.35	-26%
2A/60	0.23	0.18	0.21	-12%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 11

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 8.9% vs a 6.5% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.

TailwindShot-driving up (5v5 iCF/60 11.94 vs 10.34) — real creation underneath, so don't over-regress the helpers.

TailwindHigh-danger setups up (iHDCF/60 3.95 vs 2.88) — 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	0.02	0.01	0.26	-95%
PP iSH%	–	n/a	9.99
PP SOG/60	2.71	0.00	10.85	-100%
PP ixG/60	–	0.00	2.36	-100%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 11

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: 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	6.08	5.71	7.05	-19%
Hits/60	9.57	9.22	11.37	-19%
Blks/60	2.57	2.90	2.32	+25%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 11

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)

ContextHits role-stable at 9.22/60 (83rd pct league-wide) → 9.57 projected.

RiskBlocks tailing off: Q4 2.17/60 and 2nd-half 2.36 below the 2.90 season rate — projected DOWN to 2.57/60, weighting the recent decline over the 2.32 3-yr mark.

TailwindFights / takes majors (0.79/60) — a real PIM source, valuable in banger and PIM formats.