Per 82 GP	2026-27projection	2025-2622 GP	H222 GP	H125-26	Prev 3144 GP · 2y
TOI	10.87	10.15	9.92	–	13.33
PP TOI	0.07	0.05	0.05	–	0.64
G	5	4	4	–	7
A	14	7	7	–	21
PTS	19	11	11	–	28
PPP	0	0	0	–	2
SOG	96	71	71	–	132
PIM	84	63	63	–	110
Hits	269	313	313	–	307
Blocks	22	22	22	–	27

Sample: 22 GP · 214 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingCentre · league-wide (of 271)

78Anton Frondell15

79Tyler Seguin15

80Curtis Douglas13

81Martin Pospisil10

82Pavel Zacha10

83Erik Haula10

84Marco Rossi9

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

Below his 3-year rate

1A/60

1A/60 ran 51% below his 3-year rate last season (0.28 against 0.57).

We project it up

PIM

all5v5

We’re projecting penalty minutes 33% above last season, 63 to 84.

Below his 3-year rate

iHDCF/60

iHDCF/60 ran 58% below his 3-year rate last season (1.40 against 3.31).

We project it down

HITS

all5v5

We’re projecting hits 14% below last season, 313 to 269.

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

Jacob MelansonRW · Seattle Kraken92% match
shared: Hits, PIM
A.J. GreerLW · Anaheim Ducks92% match
shared: PIM, Hits
Ross JohnstonLW · St. Louis Blues92% match
shared: PIM, Hits
Jonah GadjovichLW,RW · Florida Panthers91% match
shared: PIM, Hits

Complementary Forward

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

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

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: Ryan Huska full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	10.87	10.15	13.33	-24%
5v5 TOI	10.33	9.76	12.32	-21%
PP TOI	0.07	0.05	0.64	-92%

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 0 · 11 · 11

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 → 10.87: reverts toward the 3-yr 13.3
5v5 TOI → 10.33: reverts toward the 3-yr 12.3
PP TOI → 0.07: 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	5.31	5.31	7.17	-26%
G/60	0.28	0.28	0.37	-25%
iSH%	5.23	5.27	5.20	+1%
ixG/60	–	0.53	0.73	-27%
iCF/60	–	10.06	13.53	-26%
iSCF/60	–	4.19	7.37	-43%
iHDCF/60	–	1.40	3.31	-58%

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 0 · 11 · 11

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% 5.3% sits near the 5.2% 3-yr mark with 5v5 ixG/60 0.53 (40th pct league-wide) — goals held close to last year.

RiskShot volume down 26% (5v5 SOG/60 5.31 vs 7.17) — volume is the repeatable half, so this caps the goal ceiling.

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%	6.01	4.41	8.63	-49%
IPP	61.12	75.00	51.87	+45%
1A/60	0.41	0.28	0.57	-51%
2A/60	0.38	0.28	0.47	-40%

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 0 · 11 · 11

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 75.0% vs 51.9% 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	0.07	0.05	0.64	-92%
PP iSH%	–	n/a	9.09
PP SOG/60	1.43	0.00	7.14	-100%
PP ixG/60	–	0.00	2.00	-100%

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 0 · 11 · 11

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: 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	5.32	4.75	5.71	-17%
Hits/60	20.12	23.19	17.90	+30%
Blks/60	1.61	1.68	1.56	+8%

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 0 · 11 · 11

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 (99th pct) and role-stable — a bankable hits floor (20.12/60 projected).

ContextBlocks role-stable at 1.68/60 (23rd pct league-wide) → 1.61 projected.

TailwindFights / takes majors (0.28/60) — a real PIM source, valuable in banger and PIM formats.