🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Hampus Lindholm

BOS · Age 32.5 · 🇸🇪 Sweden · 6′4″, 215 lb · Draft 2012, 6th overall (ANA)
BOSteam
Dposition
78position rank
274skater rank
12overall
-31offense
44peripherals

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

Per 82 GP2026-27projection adj2025-2667 GPH233 GPH134 GPPrev 3153 GP · 2y
TOI21.9621.6220.0020.6623.23
PP TOI1.371.421.031.811.95
G66577
A2326272435
PTS2932333242
PPP7501012
SOG121122104140138
PIM6271677564
Hits231521968
Blocks126126116136100

Sample: 67 GP · 1,085 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)
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): Points trimmed and blocks raised — two independent corrections in opposite directions. The engine had him 6 points above both outside reads on offence while understating the blocks that are his actual fantasy value.

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
iSH%
3-yr 3.685.76Q1Q2Q3Q4

iSH% finished the year 101% above where it started (3.36 in the first half, 6.76 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half fade
PP TOI
3-yr 1.950.78Q1Q2Q3Q4

PP TOI finished the year 41% below where it started (1.80 in the first half, 1.05 in the second). The projection leans on how the season ended, so the second half counts for more.

Above his 3-year rate
PP SOG/60
11.3322-2323-2424-2525-26

PP SOG/60 ran 52% above his 3-year rate last season (11.33 against 7.44).

Above his 3-year rate
Blks/60
4.2622-2323-2424-2525-26

Blks/60 ran 38% above his 3-year rate last season (4.26 against 3.08).

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 Defense
Closest across all seven categories — match % is the whole-profile fit
Complementary Defense
Same position, opposite profile — strong where Hampus Lindholm is weak or average, light where he’s strong
  • Cale MakarD · Colorado Avalanchecovers 3
    fills: A, PPP, SOG
  • Zach WerenskiD · Columbus Blue Jacketscovers 3
    fills: SOG, A, PPP
  • Evan BouchardD · Edmonton Oilerscovers 3
    fills: A, PPP, SOG
  • Erik KarlssonD · Pittsburgh Penguinscovers 3
    fills: A, PPP, SOG
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 · Marco Sturm (BOS)
Last year: Marco Sturm full season (1st yr) — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI21.9621.6223.23-7%
5v5 TOI16.5216.1917.55-8%
PP TOI1.371.421.95-27%
By quarter — 2025-26 vs 3-yr baseline
GP  14 · 20 · 15 · 18
TOI*
3-yr 23.2319.85Q1Q2Q3Q4
5v5 TOI
3-yr 17.5516.35Q1Q2Q3Q4
PP TOI
3-yr 1.950.78Q1Q2Q3Q4
*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
21.9622-2323-2424-2525-2626-27
5v5 TOI
16.5222-2323-2424-2525-2626-27
PP TOI
1.3722-2323-2424-2525-2626-27

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/603.763.984.29-7%
G/600.160.220.16+39%
iSH%4.245.533.68+50%
ixG/600.170.21-18%
iCF/6010.129.25+9%
iSCF/602.993.22-7%
iHDCF/600.390.69-44%
By quarter — 2025-26 vs 3-yr baseline
GP  14 · 20 · 15 · 18
SOG/60
3-yr 4.293.47Q1Q2Q3Q4
iSH%
3-yr 3.685.76Q1Q2Q3Q4
ixG/60
3-yr 0.210.19Q1Q2Q3Q4
iCF/60
3-yr 9.259.99Q1Q2Q3Q4
iSCF/60
3-yr 3.222.85Q1Q2Q3Q4
iHDCF/60
3-yr 0.690.41Q1Q2Q3Q4
By season — year over year
SOG/60
3.9822-2323-2424-2525-26
iSH%
5.5322-2323-2424-2525-26
ixG/60
0.1722-2323-2424-2525-26
iCF/60
10.1222-2323-2424-2525-26
iSCF/60
2.9922-2323-2424-2525-26
iHDCF/60
0.3922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
622-2323-2424-25H1H226-27
all5v5
SOG
12122-2323-2424-25H1H226-27
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 5.5% vs a 3.7% 3-yr mark while 5v5 ixG/60 0.17 (18th pct league-wide) was flat — finishing, not process. Regressing iSH% toward 4.2% pulls the goal rate ~27% down.
TailwindTrajectory: 5v5 ixG/60 climbed 0.15→0.19 across the year — process trending the right way into next season.
RiskAge 32 — modest past-prime drag on scoring rates.

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%9.779.969.21+8%
IPP39.6642.6934.01+26%
1A/600.430.500.38+32%
2A/600.430.390.44-12%
By quarter — 2025-26 vs 3-yr baseline
GP  14 · 20 · 15 · 18
1A/60
3-yr 0.380.20Q1Q2Q3Q4
2A/60
3-yr 0.440.61Q1Q2Q3Q4
By season — year over year
1A/60
0.5022-2323-2424-2525-26
2A/60
0.3922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
2322-2323-2424-25H1H226-27
all5v5
PTS
2922-2323-2424-25H1H226-27
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 42.7% vs 34.0% 3-yr — point participation this far above baseline rarely holds; assist share likely gives a little back.
TailwindShot-driving up (5v5 iCF/60 10.12 vs 9.25) — real creation underneath, so don't over-regress the helpers.
ContextDefenseman — weight transition/PP facilitation over raw 2A; secondary assists read a touch better for D than forwards.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI1.371.421.95-27%
PP iSH%5.485.565.42+3%
PP SOG/6010.3611.337.44+52%
PP ixG/600.890.50+76%
By quarter — 2025-26 vs 3-yr baseline
GP  14 · 20 · 15 · 18
PP TOI/GP
3-yr 1.950.78Q1Q2Q3Q4
PP SOG/60
3-yr 7.4412.78Q1Q2Q3Q4
PP ixG/60
3-yr 0.501.07Q1Q2Q3Q4
By season — year over year
PP TOI/GP
1.4222-2323-2424-2525-26
PP SOG/60
11.3322-2323-2424-2525-26
PP ixG/60
0.8922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
722-2323-2424-25H1H226-27
PPG
222-2323-2424-25H1H226-27
PPA
522-2323-2424-25H1H226-27
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)
ContextPP role steady at ~1.4 PP TOI/gp.
TailwindPP chance quality up (PP ixG/60 0.89 vs 0.50) — 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
2025-26Prev 3Diff
PIMs/601.812.101.68+25%
Hits/600.680.502.37-79%
Blks/603.774.263.08+38%
By quarter — 2025-26 vs 3-yr baseline
GP  14 · 20 · 15 · 18
PIMs/60
3-yr 1.681.63Q1Q2Q3Q4
Hits/60
3-yr 2.370.61Q1Q2Q3Q4
Blks/60
3-yr 3.083.26Q1Q2Q3Q4
By season — year over year
PIMs/60
2.1022-2323-2424-2525-26
Hits/60
0.5022-2323-2424-2525-26
Blks/60
4.2622-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
6222-2323-2424-25H1H226-27
all5v5
HITS
2322-2323-2424-25H1H226-27
all5v5
BLK
12622-2323-2424-25H1H226-27
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)
TailwindHits surging late: Q4 0.61/60 and 2nd-half 0.80 vs a 0.50 season rate (2.37 3-yr) (2nd pct league-wide) — reads as a real role/confidence step, so projected UP to 0.68/60, weighting the finish over the 3-yr baseline.
RiskBlocks tailing off: Q4 3.26/60 and 2nd-half 3.86 below the 4.26 season rate — projected DOWN to 3.77/60, weighting the recent decline over the 3.08 3-yr mark.