Per 82 GP	2026-27projection	2025-2676 GP	H234 GP	H142 GP	Prev 3136 GP · 3y
TOI	19.33	19.14	19.54	17.29	20.63
PP TOI	1.74	1.60	1.53	1.66	2.98
G	9	5	10	2	11
A	32	32	38	28	32
PTS	41	38	48	30	43
PPP	9	8	10	6	17
SOG	162	160	182	141	177
PIM	44	46	34	57	65
Hits	39	36	38	33	44
Blocks	77	76	81	72	76

Sample: 76 GP · 1,261 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

65Colton Parayko20

66Maveric Lamoureux19

67Dmitry Orlov18

68Tony DeAngelo17

69Donovan Sebrango17

70Brayden McNabb16

71Artyom Levshunov16

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 surge

PTS

all5v5

Points ran at a 48 pace in the second half after 30 in the first, per 82 games.

Below his 3-year rate

PP TOI

PP TOI ran 46% below his 3-year rate last season (1.60 against 2.98).

Second-half surge

all5v5

Assists ran at a 38 pace in the second half after 28 in the first, per 82 games.

Above his 3-year rate

iSCF/60

iSCF/60 ran 55% above his 3-year rate last season (3.76 against 2.43).

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

Vince DunnD · Seattle Kraken82% match
shared: SOG, A, PIM
Gustav ForslingD · Florida Panthers81% match
shared: SOG
Luke HughesD · New Jersey Devils81% match
shared: SOG, A
Carter YakemchukD · Ottawa Senators81% match
shared: PIM

Complementary Defense

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

Seth JonesD · Florida Pantherscovers 2
fills: PPP, Hits
Filip HronekD · Vancouver Canuckscovers 2
fills: Hits, PPP
Dougie HamiltonD · New Jersey Devilscovers 2
fills: PPP, Hits
Moritz SeiderD · Detroit Red Wingscovers 2
fills: Hits, 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 · 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	19.33	19.14	20.63	-7%
5v5 TOI	17.11	16.60	15.96	+4%
PP TOI	1.74	1.60	2.98	-46%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 22 · 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 → 19.33: holds last year's role
5v5 TOI → 17.11: same coach (Peter DeBoer) — carries the elevated finish (2nd half 17.8, Q4 17.5) over the full-year 16.6
PP TOI → 1.74: reverts toward the 3-yr 3.0

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	6.04	6.04	5.69	+6%
G/60	0.21	0.19	0.22	-14%
iSH%	3.52	3.15	3.89	-19%
ixG/60	–	0.28	0.26	+6%
iCF/60	–	12.12	10.70	+13%
iSCF/60	–	3.76	2.43	+55%
iHDCF/60	–	0.62	0.55	+13%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 22 · 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 3.1% vs 3.9% 3-yr while 5v5 ixG/60 0.28 (31st pct league-wide) held/rose — the chances say the finishing rebounds toward 3.5%, lifting the goal rate ~12%.

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%	7.78	8.02	7.12	+13%
IPP	42.63	45.06	38.25	+18%
1A/60	0.49	0.52	0.44	+18%
2A/60	0.29	0.33	0.25	+31%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 22 · 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)

RiskIPP spiked to 45.1% vs 38.2% 3-yr — point participation this far above baseline rarely holds; assist share likely gives a little back.

TailwindShot-driving up (5v5 iCF/60 12.12 vs 10.70) — real creation underneath, so don't over-regress the helpers.

TailwindHigh-danger setups up (iHDCF/60 0.62 vs 0.55) — the dangerous chances that turn into primary assists are trending up.

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	Diff
PP TOI	1.74	1.60	2.98	-46%
PP iSH%	8.86	6.62	9.56	-31%
PP SOG/60	7.88	7.40	9.33	-21%
PP ixG/60	–	0.56	0.68	-17%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 22 · 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)

TailwindPP role projected up: 1.6→1.7 PP TOI/gp (reverts toward the 3-yr 3.0) — 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	1.83	2.04	1.88	+9%
Hits/60	1.66	1.57	1.74	-10%
Blks/60	3.03	3.04	3.01	+1%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 22 · 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)

TailwindHits surging late: Q4 2.00/60 and 2nd-half 1.68 vs a 1.57 season rate (1.74 3-yr) (17th pct league-wide) — reads as a real role/confidence step, so projected UP to 1.66/60, weighting the finish over the 3-yr baseline.

ContextBlocks role-stable at 3.04/60 (63rd pct league-wide) → 3.03 projected.