Per 82 GP	2026-27projection adj	2025-2674 GP	H235 GP	H139 GP	Prev 3117 GP · 2y
TOI	14.40	14.37	14.43	13.54	15.64
PP TOI	1.56	1.65	1.65	1.66	2.17
G	16	13	15	12	19
A	▲17	14	14	15	24
PTS	▲33	28	29	26	43
PPP	7	8	9	6	9
SOG	125	122	147	99	141
PIM	29	24	23	25	25
Hits	43	50	47	53	39
Blocks	27	19	18	20	39

Sample: 74 GP · 908 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingCentre · league-wide (of 271)

149Yegor Sharangovich-25

150Dalibor Dvorsky-25

151Casey Mittelstadt-25

152Connor Zary-25

153Denver Barkey-25

154Oskar Sundqvist-25

155Barclay Goodrow-26

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.

Context-adjusted (▲/▼ vs the rate-model baseline): NEW 2026-07-27 (CGY pass) — deliberately a TAD, no deploy bet. One outside source has him at 48.2 per-84 and wants him on PP1, but that is a lone voice: the other has 32.4 (dead on our number) and 38.4, the latter paired with 'likely traded, unhappy under Huska'. His PP TOI went 2.17 -> 2.17 -> 1.65 with a Q4 of 1.34 and zero production. The 48 requires Huska promoting him to PP1, which contradicts everything both sources say about Huska, and our PP1 is already full (Huberdeau/Coronato/Frost/Gridin + the Parekh-Nemec QB split). Lands ~34.

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

PP SOG/60

PP SOG/60 finished the year 150% above where it started (4.62 in the first half, 12.43 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half surge

iSH%

iSH% finished the year 73% above where it started (7.51 in the first half, 12.97 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate

1A/60

1A/60 ran 54% below his 3-year rate last season (0.20 against 0.44).

Below his 3-year rate

Blks/60

Blks/60 ran 48% below his 3-year rate last season (1.06 against 2.05).

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

Jack QuinnRW · Buffalo Sabres87% match
Cole PerfettiLW,RW · Winnipeg Jets84% match
Tij IginlaC,LW · Utah Mammoth83% match
Anton FrondellC · Chicago Blackhawks83% match

Complementary Forward

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

Ross JohnstonLW · St. Louis Bluescovers 2
fills: PIM, Hits
Scott SabourinRW · Tampa Bay Lightningcovers 2
fills: PIM, Hits
Michael PezzettaLW,RW · Toronto Maple Leafscovers 2
fills: Hits, PIM
Jonah GadjovichLW,RW · Florida Pantherscovers 2
fills: PIM, Hits

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	14.40	14.37	15.64	-8%
5v5 TOI	12.24	12.28	13.04	-6%
PP TOI	1.56	1.65	2.17	-24%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 21 · 14

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 → 14.40: holds last year's role
5v5 TOI → 12.24: holds last year's role
PP TOI → 1.56: role tapered late (Q4 1.3 vs 1.7 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	5.74	5.74	6.13	-6%
G/60	0.69	0.59	0.90	-35%
iSH%	11.97	10.28	14.73	-30%
ixG/60	–	0.73	0.71	+3%
iCF/60	–	10.43	11.72	-11%
iSCF/60	–	6.34	6.76	-6%
iHDCF/60	–	3.50	3.62	-3%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 21 · 14

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 10.3% vs 14.7% 3-yr while 5v5 ixG/60 0.73 (65th pct league-wide) held/rose — the chances say the finishing rebounds toward 12.0%, lifting the goal rate ~16%.

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%	8.24	8.10	8.41	-4%
IPP	57.59	50.00	69.97	-29%
1A/60	0.25	0.20	0.44	-54%
2A/60	0.35	0.33	0.39	-15%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 21 · 14

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 50.0% sits below the 70.0% 3-yr mark — participation should rebound, nudging assists up.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	1.56	1.65	2.17	-24%
PP iSH%	7.55	10.52	5.41	+95%
PP SOG/60	9.94	9.32	8.74	+7%
PP ixG/60	–	1.60	1.23	+30%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 21 · 14

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 ~1.6 PP TOI/gp.

TailwindPP chance quality up (PP ixG/60 1.60 vs 1.23) — a real process gain, the kind that sustains PP points.

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	1.37	1.06	1.33	-21%
Hits/60	2.60	2.97	2.04	+45%
Blks/60	1.26	1.06	2.05	-48%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 21 · 14

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)

ContextHits role-stable at 2.97/60 (38th pct league-wide) → 2.60 projected.

RiskBlocks tailing off: Q4 0.74/60 and 2nd-half 0.90 below the 1.06 season rate — projected DOWN to 1.26/60, weighting the recent decline over the 2.05 3-yr mark.