🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Jared Wright

LAK · Age 23
LAKteam
RWposition
209position rank
622skater rank
-33overall
-49offense
16peripherals
goals
6
assists
15
points
21
power play points
0
shots on goal
122
penalty minutes
15
hits
99
blocked shots
66

Value over replacement, based on 82 games played.
Ideal for H2H 12-team banger category leagues, 16 roster spots.

Per 82 GP2026-27projection adj2025-2623 GPH223 GPH125-26Prev 3thin
TOI11.7511.4311.68––
PP TOI–––––
G▲600––
A151412––
PTS▲211412––
PPP▼0––––
SOG122114114––
PIM151416––
Hits999690––
Blocks666470––

Sample: 23 GP · 260 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingRight wing · league-wide (of 273)
206Andre Burakovsky-32
207Mason Appleton-33
208Anthony Duclair-33
209Jared Wright-33
210Brett Berard-34
211Noah Gregor-34
212Andrew Mangiapane-35
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): Goals set to 6 and power-play points to 0. He took shots at 6.9 per 60 across 23 games in 2025-26 and scored none, so the engine had a 0% shooting rate to work from and projected 0 goals over a full season. Nobody shoots 0% across 122 shots. 6 matches the external projection and implies a modest 5% finish. He logged no power-play time, which left PPP empty and kept him out of the rankings, so it's pinned at 0. Everything else is left as projected.

Similar & complementary players

Similar makeup Forward
Closest across all seven categories — match % is the whole-profile fit
Complementary Forward
Same position, opposite profile — strong where Jared Wright is weak or average, light where he’s strong
Profile shape — per-82 category values vs the league p99 for the position (same scale as the hero bars)
This player
GAPPPSOGPIMHitsBlocks
the profile below
vs Similar
GAPPPSOGPIMHitsBlocks
similar players hug the shape
vs Complementary
GAPPPSOGPIMHitsBlocks
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 · Peter Laviolette (LAK) new voice
Last year: Jim Hiller Q1-Q4 · fired Mar → D.J. Smith interim · end Q4 — in-season change
Metric26-27
proj		2025-26Prev 3Diff
TOI11.7511.43n/a
5v5 TOI11.6911.31n/a
PP TOI–n/an/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 0 · 3 · 20
TOI*
11.68Q1Q2Q3Q4
5v5 TOI
11.64Q1Q2Q3Q4
*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
11.7522-2323-2424-2525-2626-27
5v5 TOI
11.6922-2323-2424-2525-2626-27
PP TOI
no season data

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		2025-26Prev 3Diff
SOG/607.136.92n/a
G/600.000.00n/a
iSH%0.000.00n/a
ixG/60–0.78n/a
iCF/60–11.99n/a
iSCF/60–6.69n/a
iHDCF/60–4.61n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 0 · 3 · 20
SOG/60
6.70Q1Q2Q3Q4
iSH%
0.00Q1Q2Q3Q4
ixG/60
0.71Q1Q2Q3Q4
iCF/60
11.09Q1Q2Q3Q4
iSCF/60
6.19Q1Q2Q3Q4
iHDCF/60
4.12Q1Q2Q3Q4
By season — year over year
SOG/60
6.9222-2323-2424-2525-26
iSH%
0.0022-2323-2424-2525-26
ixG/60
0.7822-2323-2424-2525-26
iCF/60
11.9922-2323-2424-2525-26
iSCF/60
6.6922-2323-2424-2525-26
iHDCF/60
4.6122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
622-2323-2424-25H1H226-27
all5v5
SOG
12222-2323-2424-25H1H226-27
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)
TailwindAge 23 — still on the up-slope of the scoring curve.
TailwindAge 23 on a single NHL season — projected a development step, not a flat repeat: scoring rates +4% and role +3% toward the mid-20s peak (a young riser improves on last year, not repeats it).

Assists — playmaking & on-ice offense

Primary vs secondary helpers, plus the on-ice offense and luck signals underneath them.

Metric (5v5)26-27
proj		2025-26Prev 3Diff
on-ice SH%6.336.33n/a
IPP50.0050.00n/a
1A/600.920.92n/a
2A/600.000.00n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 0 · 3 · 20
1A/60
0.77Q1Q2Q3Q4
2A/60
0.00Q1Q2Q3Q4
By season — year over year
1A/60
0.9222-2323-2424-2525-26
2A/60
0.0022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
1522-2323-2424-25H1H226-27
all5v5
PTS
2122-2323-2424-25H1H226-27
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)
ContextAssist environment looks normal (on-ice SH% 6.3%, IPP 50.0%).

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj		2025-26Prev 3Diff
PP TOI–n/an/a
PP iSH%–n/an/a
PP SOG/60–n/an/a
PP ixG/60–n/an/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 0 · 3 · 20
PP TOI/GP
no quarterly data
PP SOG/60
no quarterly data
PP ixG/60
no quarterly data
By season — year over year
PP TOI/GP
no season data
PP SOG/60
no season data
PP ixG/60
no season data
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
022-2323-2424-25H1H226-27
PPG
no data
PPA
no data
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)
ContextLittle/no PP role — PP points capped regardless of finishing.

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		2025-26Prev 3Diff
PIMs/600.930.92n/a
Hits/606.236.23n/a
Blks/604.154.15n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 0 · 3 · 20
PIMs/60
1.03Q1Q2Q3Q4
Hits/60
5.67Q1Q2Q3Q4
Blks/60
4.38Q1Q2Q3Q4
By season — year over year
PIMs/60
0.9222-2323-2424-2525-26
Hits/60
6.2322-2323-2424-2525-26
Blks/60
4.1522-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
1522-2323-2424-25H1H226-27
all5v5
HITS
9922-2323-2424-25H1H226-27
all5v5
BLK
6622-2323-2424-25H1H226-27
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)
ContextHits role-stable at 6.23/60 (70th pct league-wide) → 6.23 projected.
ContextBlocks role-stable at 4.15/60 (84th pct league-wide) → 4.15 projected.