Per 82 GP	2026-27projection	2025-2654 GP	H225 GP	H129 GP	Prev 3157 GP · 2y
TOI	17.65	17.33	16.07	17.06	16.79
PP TOI	2.24	2.55	2.14	2.90	2.19
G	27	36	32	40	24
A	35	29	34	24	33
PTS	62	65	67	64	57
PPP	16	15	20	11	17
SOG	157	155	128	178	161
PIM	34	43	20	62	33
Hits	69	82	67	95	59
Blocks	35	41	46	37	31

Sample: 54 GP · 730 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingCentre · league-wide (of 271)

53Ryan Nugent-Hopkins42

54Ryan O'Reilly42

55Boone Jenner41

56Logan Cooley40

57Mark Kastelic39

58Anton Lundell38

59Frank Nazar35

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 brain — deployment, role, coaching & injury signals (why the line should move)

TailwindRaise Cooley baseline on rising TOI and elite speed. · Apples & Ginos Fantasy Hockey

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

PPP

Power play points ran at a 20 pace in the second half after 11 in the first, per 82 games.

Second-half fade

PIM

all5v5

Penalty minutes ran at a 20 pace in the second half after 62 in the first, per 82 games.

Above his 3-year rate

iSH%

iSH% ran 47% above his 3-year rate last season (19.73 against 13.45).

We project it down

all5v5

We’re projecting goals 25% below last season, 36 to 27.

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

Mason McTavishC · St. Louis Blues88% match
Pavel BuchnevichC,LW,RW · St. Louis Blues88% match
Quinton ByfieldC,LW · Los Angeles Kings88% match
Anthony ManthaLW,RW · New Jersey Devils87% match

Complementary Forward

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

Michael PezzettaLW,RW · Toronto Maple Leafscovers 2
fills: Hits, PIM
Ross JohnstonLW · St. Louis Bluescovers 2
fills: PIM, Hits
Scott SabourinRW · Tampa Bay Lightningcovers 2
fills: PIM, Hits
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 · André Tourigny (UTA)

Last year: André Tourigny full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	17.65	17.33	16.79	+3%
5v5 TOI	13.75	13.53	13.17	+3%
PP TOI	2.24	2.55	2.19	+16%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 8 · 6 · 19

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 → 17.65: holds last year's role; age 22 riser — small growth bias
5v5 TOI → 13.75: holds last year's role; age 22 riser — small growth bias
PP TOI → 2.24: role tapered late (Q4 2.6 vs 2.5 full-year) — projected toward the softer finish; Add PP-share risk to Schmaltz's projection; Cooley is favored to keep the role.

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	5.87	5.83	6.70	-13%
G/60	1.02	1.15	0.90	+28%
iSH%	17.34	19.73	13.45	+47%
ixG/60	–	0.78	0.70	+12%
iCF/60	–	11.33	12.34	-8%
iSCF/60	–	6.82	6.59	+3%
iHDCF/60	–	4.19	2.61	+60%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 8 · 6 · 19

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)

TailwindProcess rising: 5v5 ixG/60 0.78 (73rd pct league-wide) up on the 3-yr 0.70 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.

RiskShot volume down 13% (5v5 SOG/60 5.83 vs 6.70) — volume is the repeatable half, so this caps the goal ceiling.

ContextTrajectory: 5v5 ixG/60 fell from 0.90 (1st half) to 0.72 (2nd).

TailwindAge 22 — still on the up-slope of the scoring curve.

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%	11.33	11.90	10.18	+17%
IPP	67.30	66.67	69.21	-4%
1A/60	0.67	0.66	0.67	-1%
2A/60	0.44	0.49	0.32	+55%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 8 · 6 · 19

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 11.9% vs a 10.2% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.

TailwindHigh-danger setups up (iHDCF/60 4.19 vs 2.61) — the dangerous chances that turn into primary assists are trending up.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	2.24	2.55	2.19	+16%
PP iSH%	21.92	30.05	19.99	+50%
PP SOG/60	6.93	8.72	8.71	+0%
PP ixG/60	–	1.82	1.36	+34%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 8 · 6 · 19

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)

RiskAdd PP-share risk to Schmaltz's projection; Cooley is favored to keep the role. · Veteran movement analysis

ContextAdd PP1 downside risk to Cooley; hold Trocheck as a steady multi-cat 60-point line. · Apples & Ginos Fantasy Hockey

RiskPP role projected down: 2.5→2.2 PP TOI/gp (role tapered late (Q4 2.6 vs 2.5 full-year) — projected toward the softer finish; Add PP-share risk to Schmaltz's projection; Cooley is favored to keep the role.) — the biggest PPP lever.

TailwindPP chance quality up (PP ixG/60 1.82 vs 1.36) — 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	1.49	1.97	1.63	+21%
Hits/60	3.68	4.27	3.05	+40%
Blks/60	2.00	2.22	1.37	+62%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 8 · 6 · 19

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 3.58/60 and 2nd-half 3.23 below the 4.27 season rate — projected DOWN to 3.68/60, weighting the recent decline over the 3.05 3-yr mark.

TailwindBlocks surging late: Q4 2.15/60 and 2nd-half 2.87 vs a 2.22 season rate (1.37 3-yr) (39th pct league-wide) — reads as a real role/confidence step, so projected UP to 2.00/60, weighting the finish over the 3-yr baseline.