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 95% above where it started (0.60 in the first half, 1.17 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half surge

BLK

all5v5

Blocks ran at a 55 pace in the second half after 29 in the first, per 82 games.

Bottom of the league

TOI

TOI sits in the 2th percentile league-wide (8.83).

Bottom of the league

1A/60

1A/60 sits in the 4th percentile league-wide (0.00).

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

Emil HeinemanLW,RW · New York Islanders83% match
shared: Hits
Mackie SamoskevichLW,RW · Seattle Kraken79% match
shared: Hits
Ivan BarbashevLW · Vegas Golden Knights76% match
shared: Hits
Yakov TreninLW,RW · Minnesota Wild76% match
shared: Hits

Complementary Forward

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

Clayton KellerLW · Utah Mammothcovers 4
fills: PPP, A, SOG, G
Jack HughesC,LW · New Jersey Devilscovers 4
fills: SOG, PPP, A, G
Nikita KucherovRW · Tampa Bay Lightningcovers 5
fills: A, PPP, G, SOG
Artemi PanarinLW · Los Angeles Kingscovers 4
fills: A, PPP, SOG, 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 · Ryan Huska (CGY)

Last year (MIN, traded): John Hynes full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	8.73	8.83	8.38	+5%
5v5 TOI	8.18	8.33	8.17	+2%
PP TOI	0.06	0.08	0.00	+2370%

By quarter — 2025-26 vs 3-yr baseline

GP 9 · 11 · 6 · 2

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 → 8.73: holds last year's role
5v5 TOI → 8.18: role tapered late (Q4 7.7 vs 8.3 full-year) — projected toward the softer finish
PP TOI → 0.06: role tapered late (Q4 0.0 vs 0.1 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	6.54	6.17	6.78	-9%
G/60	0.19	0.26	0.00
iSH%	2.61	4.21	0.00
ixG/60	–	0.66	0.67	-1%
iCF/60	–	10.80	14.12	-24%
iSCF/60	–	4.63	6.21	-25%
iHDCF/60	–	2.83	2.82	+0%

By quarter — 2025-26 vs 3-yr baseline

GP 9 · 11 · 6 · 2

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)

TailwindTrajectory: 5v5 ixG/60 climbed 0.60→1.17 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%	3.81	4.40	3.42	+29%
IPP	30.06	74.76	0.00
1A/60	0.00	0.00	0.00
2A/60	0.18	0.51	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 9 · 11 · 6 · 2

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 4.4% vs a 3.4% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	0.06	0.08	0.00	+2370%
PP iSH%	0.00	0.00	n/a
PP SOG/60	21.76	27.07	0.00
PP ixG/60	–	1.82	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 9 · 11 · 6 · 2

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: 0.1→0.1 PP TOI/gp (role tapered late (Q4 0.0 vs 0.1 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	0.00	0.00	2.82	-100%
Hits/60	13.32	14.92	14.12	+6%
Blks/60	3.36	2.83	3.11	-9%

By quarter — 2025-26 vs 3-yr baseline

GP 9 · 11 · 6 · 2

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 7.76/60 and 2nd-half 7.76 below the 14.92 season rate — projected DOWN to 13.32/60, weighting the recent decline over the 14.12 3-yr mark.

TailwindBlocks surging late: Q4 5.18/60 and 2nd-half 5.18 vs a 2.83 season rate (3.11 3-yr) (58th pct league-wide) — reads as a real role/confidence step, so projected UP to 3.36/60, weighting the finish over the 3-yr baseline.