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 surge

ixG/60

ixG/60 finished the year 75% above where it started (0.45 in the first half, 0.78 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half surge

iSCF/60

iSCF/60 finished the year 118% above where it started (3.41 in the first half, 7.42 in the second). The projection leans on how the season ended, so the second half counts for more.

Above his 3-year rate

PIMs/60

PIMs/60 ran 150% above his 3-year rate last season (3.97 against 1.26).

Below his 3-year rate

1A/60

1A/60 ran 48% below his 3-year rate last season (0.20 against 0.39).

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

Yakov TreninLW,RW · Minnesota Wild86% match
shared: Hits
Jacob MelansonRW · Seattle Kraken82% match
shared: Hits
A.J. GreerLW · Anaheim Ducks80% match
shared: Hits
Kiefer SherwoodLW,RW · San Jose Sharks80% match
shared: Hits

Complementary Forward

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

Jack HughesC,LW · New Jersey Devilscovers 4
fills: SOG, PPP, A, G
Artemi PanarinLW · Los Angeles Kingscovers 4
fills: A, PPP, SOG, G
William NylanderRW · Toronto Maple Leafscovers 4
fills: PPP, SOG, G, A
Jack EichelC · Vegas Golden Knightscovers 4
fills: SOG, A, PPP, G

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 · Peter DeBoer (NYI)

Last year: Patrick Roy Q1-Q4 → Peter DeBoer final 4 games · Q4 — in-season change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	10.44	10.52	10.00	+5%
5v5 TOI	10.16	10.25	9.67	+6%
PP TOI	0.03	0.04	0.05	-25%

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 17 · 20 · 12

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 → 10.16: 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	4.26	4.26	4.61	-8%
G/60	0.27	0.20	0.44	-55%
iSH%	6.54	4.69	9.56	-51%
ixG/60	–	0.64	0.44	+46%
iCF/60	–	9.22	8.68	+6%
iSCF/60	–	5.45	4.17	+31%
iHDCF/60	–	3.37	2.14	+57%

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 17 · 20 · 12

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)

TailwindGoals projected UP: iSH% cratered to 4.7% vs 9.6% 3-yr while 5v5 ixG/60 0.64 (54th pct league-wide) held/rose — the chances say the finishing rebounds toward 6.5%, lifting the goal rate ~35%.

TailwindTrajectory: 5v5 ixG/60 climbed 0.45→0.78 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%	6.33	6.09	7.23	-16%
IPP	53.18	49.64	66.59	-25%
1A/60	0.27	0.20	0.39	-48%
2A/60	0.27	0.30	0.27	+10%

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 17 · 20 · 12

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)

TailwindIPP 49.6% sits below the 66.6% 3-yr mark — participation should rebound, nudging assists up.

TailwindHigh-danger setups up (iHDCF/60 3.37 vs 2.14) — 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	0.03	0.04	0.05	-25%
PP iSH%	–	n/a	n/a
PP SOG/60	0.00	0.00	0.00
PP ixG/60	–	0.00	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 17 · 20 · 12

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 ~0.0 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	Diff
PIMs/60	2.81	3.97	1.26	+214%
Hits/60	10.87	12.00	9.17	+31%
Blks/60	2.26	2.18	1.87	+17%

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 17 · 20 · 12

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 (89th pct) and role-stable — a bankable hits floor (10.87/60 projected).

TailwindBlocks surging late: Q4 2.93/60 and 2nd-half 2.63 vs a 2.18 season rate (1.87 3-yr) (38th pct league-wide) — reads as a real role/confidence step, so projected UP to 2.26/60, weighting the finish over the 3-yr baseline.

TailwindFights / takes majors (0.20/60) — a real PIM source, valuable in banger and PIM formats.