Per 82 GP	2026-27projection	2025-2682 GP	H239 GP	H143 GP	Prev 3243 GP · 3y
TOI	20.34	20.44	20.18	19.75	16.49
PP TOI	0.35	0.38	0.33	0.42	0.05
G	5	2	-0	4	5
A	17	16	22	10	14
PTS	22	18	22	14	20
PPP	0	0	0	0	0
SOG	102	102	106	98	91
PIM	28	26	31	21	17
Hits	168	163	156	169	155
Blocks	157	140	147	134	134

Sample: 82 GP · 1,406 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

69Donovan Sebrango17

70Brayden McNabb16

71Artyom Levshunov16

72Braden Schneider15

73Rasmus Ristolainen14

74Adam Larsson14

75Lian Bichsel14

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

all5v5

Assists ran at a 22 pace in the second half after 10 in the first, per 82 games.

Below his 3-year rate

iSH%

iSH% ran 56% below his 3-year rate last season (2.22 against 5.05).

Second-half surge

PIM

all5v5

Penalty minutes ran at a 31 pace in the second half after 21 in the first, per 82 games.

Above his 3-year rate

TOI

TOI ran 24% above his 3-year rate last season (20.44 against 16.49).

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

Alexander RomanovD · New York Islanders87% match
shared: Hits, Blocks
Mattias SamuelssonD · Buffalo Sabres87% match
shared: Hits, Blocks
Martin FehervaryD · Washington Capitals86% match
shared: Hits, Blocks
Rasmus RistolainenD · Philadelphia Flyers84% match
shared: Hits

Complementary Defense

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

Quinn HughesD · Minnesota Wildcovers 3
fills: A, PPP, SOG
Zach WerenskiD · Columbus Blue Jacketscovers 3
fills: SOG, A, PPP
Evan BouchardD · Edmonton Oilerscovers 3
fills: A, PPP, SOG
Erik KarlssonD · Pittsburgh Penguinscovers 3
fills: A, PPP, 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 · Mike Sullivan (NYR)

Last year: Mike Sullivan full season (1st yr) — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	20.34	20.44	16.49	+24%
5v5 TOI	17.18	17.16	14.92	+15%
PP TOI	0.35	0.38	0.05	+706%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 20

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 → 20.34: holds last year's role
5v5 TOI → 17.18: holds last year's role
PP TOI → 0.35: role tapered late (Q4 0.4 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	4.05	4.05	4.22	-4%
G/60	0.12	0.09	0.21	-58%
iSH%	4.20	2.22	5.05	-56%
ixG/60	–	0.16	0.17	-6%
iCF/60	–	10.19	9.58	+6%
iSCF/60	–	2.30	2.55	-10%
iHDCF/60	–	0.38	0.43	-11%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 20

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)

ContextFinishing looks earned: iSH% 2.2% sits near the 5.0% 3-yr mark with 5v5 ixG/60 0.16 (16th pct league-wide) — goals held close to last year.

TailwindTrajectory: 5v5 ixG/60 climbed 0.14→0.17 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%	9.92	10.14	9.26	+10%
IPP	31.64	31.30	32.67	-4%
1A/60	0.32	0.38	0.25	+54%
2A/60	0.34	0.26	0.38	-32%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 20

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% 10.1%, IPP 31.3%).

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	Diff
PP TOI	0.35	0.38	0.05	+706%
PP iSH%	0.00	0.00	0.00
PP SOG/60	1.32	3.88	10.56	-63%
PP ixG/60	–	0.19	0.80	-76%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 20

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 ~0.4 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	1.12	1.02	0.79	+29%
Hits/60	6.50	6.31	7.18	-12%
Blks/60	5.17	4.65	5.86	-21%

By quarter — 2025-26 vs 3-yr baseline

GP 22 · 21 · 19 · 20

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)

RiskHits tailing off: Q4 5.11/60 and 2nd-half 5.92 below the 6.31 season rate — projected DOWN to 6.50/60, weighting the recent decline over the 7.18 3-yr mark.

TailwindBlocks surging late: Q4 6.34/60 and 2nd-half 4.85 vs a 4.65 season rate (5.86 3-yr) (90th pct league-wide) — reads as a real role/confidence step, so projected UP to 5.17/60, weighting the finish over the 3-yr baseline.