🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Adrian Kempe

LAK · Age 29.9 · 🇸🇪 Sweden · 6′2″, 200 lb · Draft 2014, 29th overall (L.A)
LAKteam
RWposition
13position rank
34skater rank
106overall
45offense
61peripherals

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

Per 82 GP2026-27projection adj2025-2681 GPH241 GPH140 GPPrev 3240 GP · 3y
TOI19.2419.3117.7717.8918.95
PP TOI3.203.082.793.382.92
G3636452835
A4137373838
PTS7774826673
PPP1912121222
SOG240229220237250
PIM5659605756
Hits12012889169113
Blocks3340255435

Sample: 81 GP · 1,150 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingRight wing · league-wide (of 273)
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): Hits set to 120. He hit at 4.9 per 60 last season, his highest mark in 4 years, and his per-82 band across 2022-26 runs 100 to 129. The engine lands at 106, below that band, because the base rate averages in a softer 2024-25. 120 sits between last season's 129 and the multi-year middle, and matches the external 123. Power-play time set to 3.20, a career high across the 4 seasons on file, where his previous best is 3.11 and the engine projected 3.05. With Kopitar and Kuzmenko gone he's the only returning lock on the top unit, and he already ran 3.63 through the first quarter of last season, so the room is there.

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
We project it up
PPP
1922-2323-2424-25H1H226-27

We’re projecting power play points 58% above last season, 12 to 19.

Second-half surge
G
3622-2323-2424-25H1H226-27
all5v5

Goals ran at a 45 pace in the second half after 28 in the first, per 82 games.

Second-half fade
Blks/60
3-yr 1.440.44Q1Q2Q3Q4

Blks/60 finished the year 64% below where it started (2.49 in the first half, 0.89 in the second). The projection leans on how the season ended, so the second half counts for more.

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
  • Brad MarchandLW,RW · Florida Panthers87% match
    shared: G, SOG, PIM, A
  • Travis KonecnyRW · Philadelphia Flyers86% match
    shared: PIM, A, SOG, G
  • John TavaresC · Toronto Maple Leafs86% match
    shared: SOG, G, A, Hits
  • Sam BennettC · Florida Panthers85% match
    shared: SOG, PIM, Hits, G
Complementary Forward
Same position, opposite profile — strong where Adrian Kempe 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
TOI19.2419.3118.95+2%
5v5 TOI14.1614.2113.45+6%
PP TOI3.203.082.92+5%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 19 · 22 · 19
TOI*
3-yr 18.9517.90Q1Q2Q3Q4
5v5 TOI
3-yr 13.4514.50Q1Q2Q3Q4
PP TOI
3-yr 2.922.86Q1Q2Q3Q4
*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
19.2422-2323-2424-2525-2626-27
5v5 TOI
14.1622-2323-2424-2525-2626-27
PP TOI
3.2022-2323-2424-2525-2626-27

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/608.248.249.03-9%
G/601.141.301.12+16%
iSH%13.7915.7812.36+28%
ixG/600.730.77-5%
iCF/6017.5217.72-1%
iSCF/608.038.57-6%
iHDCF/602.823.11-9%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 19 · 22 · 19
SOG/60
3-yr 9.038.71Q1Q2Q3Q4
iSH%
3-yr 12.3627.55Q1Q2Q3Q4
ixG/60
3-yr 0.771.01Q1Q2Q3Q4
iCF/60
3-yr 17.7215.24Q1Q2Q3Q4
iSCF/60
3-yr 8.578.27Q1Q2Q3Q4
iHDCF/60
3-yr 3.113.70Q1Q2Q3Q4
By season — year over year
SOG/60
8.2422-2323-2424-2525-26
iSH%
15.7822-2323-2424-2525-26
ixG/60
0.7322-2323-2424-2525-26
iCF/60
17.5222-2323-2424-2525-26
iSCF/60
8.0322-2323-2424-2525-26
iHDCF/60
2.8222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
3622-2323-2424-25H1H226-27
all5v5
SOG
24022-2323-2424-25H1H226-27
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)
RiskGoals projected DOWN: iSH% ran hot at 15.8% vs a 12.4% 3-yr mark while 5v5 ixG/60 0.73 (65th pct league-wide) was flat — finishing, not process. Regressing iSH% toward 13.8% pulls the goal rate ~13% down.
TailwindTrajectory: 5v5 ixG/60 climbed 0.58→0.86 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
2025-26Prev 3Diff
on-ice SH%10.2110.479.87+6%
IPP74.9981.8870.11+17%
1A/600.660.630.61+2%
2A/600.370.420.34+25%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 19 · 22 · 19
1A/60
3-yr 0.610.44Q1Q2Q3Q4
2A/60
3-yr 0.340.65Q1Q2Q3Q4
By season — year over year
1A/60
0.6322-2323-2424-2525-26
2A/60
0.4222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
4122-2323-2424-25H1H226-27
all5v5
PTS
7722-2323-2424-25H1H226-27
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)
RiskIPP spiked to 81.9% vs 70.1% 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.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI3.203.082.92+5%
PP iSH%13.589.0714.85-39%
PP SOG/6010.4310.5813.26-20%
PP ixG/601.301.73-25%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 19 · 22 · 19
PP TOI/GP
3-yr 2.922.86Q1Q2Q3Q4
PP SOG/60
3-yr 13.266.64Q1Q2Q3Q4
PP ixG/60
3-yr 1.730.85Q1Q2Q3Q4
By season — year over year
PP TOI/GP
3.0822-2323-2424-2525-26
PP SOG/60
10.5822-2323-2424-2525-26
PP ixG/60
1.3022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
1922-2323-2424-25H1H226-27
PPG
622-2323-2424-25H1H226-27
PPA
1322-2323-2424-25H1H226-27
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)
TailwindApply a positive team-offense tailwind to LA's skill players and PP. · Coaching landscape report
ContextPP role steady at ~3.2 PP TOI/gp.

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/602.182.092.44-14%
Hits/605.066.155.35+15%
Blks/601.241.671.44+16%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 19 · 22 · 19
PIMs/60
3-yr 2.440.87Q1Q2Q3Q4
Hits/60
3-yr 5.353.70Q1Q2Q3Q4
Blks/60
3-yr 1.440.44Q1Q2Q3Q4
By season — year over year
PIMs/60
2.0922-2323-2424-2525-26
Hits/60
6.1522-2323-2424-2525-26
Blks/60
1.6722-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
5622-2323-2424-25H1H226-27
all5v5
HITS
12022-2323-2424-25H1H226-27
all5v5
BLK
3322-2323-2424-25H1H226-27
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)
RiskHits tailing off: Q4 3.70/60 and 2nd-half 4.03 below the 6.15 season rate — projected DOWN to 5.06/60, weighting the recent decline over the 5.35 3-yr mark.
RiskBlocks tailing off: Q4 0.44/60 and 2nd-half 0.89 below the 1.67 season rate — projected DOWN to 1.24/60, weighting the recent decline over the 1.44 3-yr mark.