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 123% above his 3-year rate last season (21.54 against 9.67).

Below his 3-year rate

1A/60

1A/60 ran 69% below his 3-year rate last season (0.25 against 0.81).

We project it down

PIM

all5v5

We’re projecting penalty minutes 62% below last season, 32 to 12.

Second-half fade

ixG/60

ixG/60 finished the year 47% below where it started (0.65 in the first half, 0.34 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

Cole PerfettiLW,RW · Winnipeg Jets81% match
Connor McMichaelC,LW · St. Louis Blues80% match
shared: Blocks
Taylor HallLW · Carolina Hurricanes79% match
Zach BensonLW · Buffalo Sabres78% match

Complementary Forward

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

Patrick KaneRW · Chicago Blackhawkscovers 3
fills: PPP, A, SOG
Jack EichelC · Vegas Golden Knightscovers 3
fills: SOG, A, PPP
Nikolaj EhlersLW,RW · Carolina Hurricanescovers 3
fills: A, PPP, SOG
Mats ZuccarelloRW · Los Angeles Kingscovers 3
fills: PPP, A, SOG

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 · Manny Malhotra (VAN) new voice

Last year: Adam Foote full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	11.46	11.72	10.33	+13%
5v5 TOI	10.98	10.85	10.16	+7%
PP TOI	0.29	0.41	0.02	+1977%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 19 · 15 · 13

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 → 11.46: holds last year's role
5v5 TOI → 10.98: new coach (Manny Malhotra) — late-year 11.7 role discounted until the new staff sets usage
PP TOI → 0.29: role tapered late (Q4 0.0 vs 0.4 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	4.25	4.69	6.31	-26%
G/60	0.73	1.01	0.61	+66%
iSH%	14.65	21.54	9.67	+123%
ixG/60	–	0.52	0.65	-20%
iCF/60	–	8.88	9.17	-3%
iSCF/60	–	5.28	4.28	+23%
iHDCF/60	–	2.77	2.85	-3%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 19 · 15 · 13

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 21.5% vs a 9.7% 3-yr mark while 5v5 ixG/60 0.52 (39th pct league-wide) was flat — finishing, not process. Regressing iSH% toward 14.7% pulls the goal rate ~28% down.

RiskShot volume down 26% (5v5 SOG/60 4.69 vs 6.31) — volume is the repeatable half, so this caps the goal ceiling.

ContextTrajectory: 5v5 ixG/60 fell from 0.65 (1st half) to 0.34 (2nd).

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%	8.73	7.78	10.28	-24%
IPP	68.76	76.14	63.84	+19%
1A/60	0.49	0.25	0.81	-69%
2A/60	0.03	0.08	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 19 · 15 · 13

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)

RiskIPP spiked to 76.1% vs 63.8% 3-yr — point participation this far above baseline rarely holds; assist share likely gives a little back.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	0.29	0.41	0.02	+1977%
PP iSH%	0.00	0.00	n/a
PP SOG/60	3.51	4.48	0.00
PP ixG/60	–	0.73	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 19 · 15 · 13

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: 0.4→0.3 PP TOI/gp (role tapered late (Q4 0.0 vs 0.4 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	1.53	2.18	0.00
Hits/60	2.93	2.43	3.67	-34%
Blks/60	2.56	2.77	2.65	+5%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 19 · 15 · 13

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 2.43/60 (30th pct league-wide) → 2.93 projected.

RiskBlocks tailing off: Q4 1.96/60 and 2nd-half 2.20 below the 2.77 season rate — projected DOWN to 2.56/60, weighting the recent decline over the 2.65 3-yr mark.