🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Ryan Lindgren

SEA · Age 28.5 · 🇺🇸 USA · 6′0″, 190 lb · Draft 2016, 49th overall (BOS)
SEAteam
Dposition
203position rank
558skater rank
-27overall
-54offense
28peripherals

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

Per 82 GP2026-27projection2025-2676 GPH237 GPH139 GPPrev 3211 GP · 3y
TOI18.4618.3417.2318.5519.32
PP TOI0.060.070.090.050.03
G32223
A1486819
PTS171091122
PPP00000
SOG6352416282
PIM4665448447
Hits66515546102
Blocks122126122130121

Sample: 76 GP · 1,163 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.

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 3.480.00Q1Q2Q3Q4

iSH% finished the year 118% above where it started (3.31 in the first half, 7.23 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half fade
PIM
4622-2323-2424-25H1H226-27
all5v5

Penalty minutes ran at a 44 pace in the second half after 84 in the first, per 82 games.

Below his 3-year rate
Hits/60
2.1122-2323-2424-2525-26

Hits/60 ran 45% below his 3-year rate last season (2.11 against 3.85).

Below his 3-year rate
SOG/60
2.3222-2323-2424-2525-26

SOG/60 ran 34% below his 3-year rate last season (2.32 against 3.53).

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 Ryan Lindgren 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
  • Quinn HughesD · Minnesota Wildcovers 3
    fills: A, PPP, SOG
  • Evan BouchardD · Edmonton Oilerscovers 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 · Lane Lambert (SEA)
Last year: Lane Lambert full season (1st yr) — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI18.4618.3419.32-5%
5v5 TOI15.2215.3116.33-6%
PP TOI0.060.070.03+102%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 19 · 18
TOI*
3-yr 19.3217.90Q1Q2Q3Q4
5v5 TOI
3-yr 16.3315.35Q1Q2Q3Q4
PP TOI
3-yr 0.030.02Q1Q2Q3Q4
*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
18.4622-2323-2424-2525-2626-27
5v5 TOI
15.2222-2323-2424-2525-2626-27
PP TOI
0.0622-2323-2424-2525-2626-27

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/602.212.323.53-34%
G/600.080.100.12-19%
iSH%3.734.313.48+24%
ixG/600.150.16-8%
iCF/607.848.95-12%
iSCF/602.532.77-9%
iHDCF/600.410.54-24%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 19 · 18
SOG/60
3-yr 3.532.17Q1Q2Q3Q4
iSH%
3-yr 3.480.00Q1Q2Q3Q4
ixG/60
3-yr 0.160.11Q1Q2Q3Q4
iCF/60
3-yr 8.956.30Q1Q2Q3Q4
iSCF/60
3-yr 2.771.74Q1Q2Q3Q4
iHDCF/60
3-yr 0.540.43Q1Q2Q3Q4
By season — year over year
SOG/60
2.3222-2323-2424-2525-26
iSH%
4.3122-2323-2424-2525-26
ixG/60
0.1522-2323-2424-2525-26
iCF/60
7.8422-2323-2424-2525-26
iSCF/60
2.5322-2323-2424-2525-26
iHDCF/60
0.4122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
322-2323-2424-25H1H226-27
all5v5
SOG
6322-2323-2424-25H1H226-27
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 4.3% vs a 3.5% 3-yr mark while 5v5 ixG/60 0.15 (13th pct league-wide) was flat — finishing, not process. Regressing iSH% toward 3.7% pulls the goal rate ~18% down.
RiskShot volume down 34% (5v5 SOG/60 2.32 vs 3.53) — volume is the repeatable half, so this caps the goal ceiling.
ContextTrajectory: 5v5 ixG/60 fell from 0.17 (1st half) to 0.14 (2nd).

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%8.778.279.37-12%
IPP24.7420.0032.48-38%
1A/600.160.100.30-66%
2A/600.370.150.43-65%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 19 · 18
1A/60
3-yr 0.300.00Q1Q2Q3Q4
2A/60
3-yr 0.430.00Q1Q2Q3Q4
By season — year over year
1A/60
0.1022-2323-2424-2525-26
2A/60
0.1522-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
1422-2323-2424-25H1H226-27
all5v5
PTS
1722-2323-2424-25H1H226-27
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)
TailwindIPP 20.0% sits below the 32.5% 3-yr mark — participation should rebound, nudging assists up.
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 TOI0.060.070.03+102%
PP iSH%n/an/a
PP SOG/600.000.000.00
PP ixG/600.000.00
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 19 · 18
PP TOI/GP
3-yr 0.030.02Q1Q2Q3Q4
PP SOG/60
3-yr 0.000.00Q1Q2Q3Q4
PP ixG/60
3-yr 0.000.00Q1Q2Q3Q4
By season — year over year
PP TOI/GP
0.0722-2323-2424-2525-26
PP SOG/60
0.0022-2323-2424-2525-26
PP ixG/60
0.0022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
022-2323-2424-25H1H226-27
PPG
022-2323-2424-25H1H226-27
PPA
022-2323-2424-25H1H226-27
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)
RiskPP role projected down: 0.1→0.1 PP TOI/gp (role tapered late (Q4 0.0 vs 0.1 full-year) — projected toward the softer finish) — the biggest PPP lever.

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/602.212.891.83+58%
Hits/602.762.113.85-45%
Blks/604.114.233.93+8%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 19 · 18
PIMs/60
3-yr 1.831.30Q1Q2Q3Q4
Hits/60
3-yr 3.852.39Q1Q2Q3Q4
Blks/60
3-yr 3.933.69Q1Q2Q3Q4
By season — year over year
PIMs/60
2.8922-2323-2424-2525-26
Hits/60
2.1122-2323-2424-2525-26
Blks/60
4.2322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
4622-2323-2424-25H1H226-27
all5v5
HITS
6622-2323-2424-25H1H226-27
all5v5
BLK
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)
TailwindHits surging late: Q4 2.39/60 and 2nd-half 2.45 vs a 2.11 season rate (3.85 3-yr) (26th pct league-wide) — reads as a real role/confidence step, so projected UP to 2.76/60, weighting the finish over the 3-yr baseline.
TailwindElite blocks volume (85th pct) and role-stable — a bankable blocks floor (4.11/60 projected).
TailwindFights / takes majors (0.10/60) — a real PIM source, valuable in banger and PIM formats.