🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

John Carlson

TBL · Age 36.6 · 🇺🇸 USA · 6′3″, 215 lb · Draft 2008, 27th overall (WSH)
TBLteam
Dposition
22position rank
90skater rank
73overall
20offense
52peripherals

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

Per 82 GP2026-27projection adj2025-2671 GPH233 GPH138 GPPrev 3201 GP · 3y
TOI23.0723.1622.5021.2524.48
PP TOI3.002.742.742.733.34
G1116131910
A5553594844
PTS6669726754
PPP1716201319
SOG182178179177190
PIM2837453130
Hits4130303065
Blocks138122126120163

Sample: 71 GP · 1,190 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): Baseline line is his 2025-26 Washington season. TB PP1 with Kucherov is the value driver, bet on the minutes (2.74 -> 3.2); held modest vs the 70-pt ceiling given age 36.

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
Above his 3-year rate
iSH%
6.1922-2323-2424-2525-26

iSH% ran 96% above his 3-year rate last season (6.19 against 3.17).

Above his 3-year rate
1A/60
0.7622-2323-2424-2525-26

1A/60 ran 83% above his 3-year rate last season (0.76 against 0.42).

Second-half surge
PPP
1722-2323-2424-25H1H226-27

Power play points ran at a 20 pace in the second half after 13 in the first, per 82 games.

We project it up
HITS
4122-2323-2424-25H1H226-27
all5v5

We’re projecting hits 37% above last season, 30 to 41.

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
  • Josh MorrisseyD · Winnipeg Jets89% match
    shared: A, G, SOG, PPP
  • Miro HeiskanenD · Dallas Stars89% match
    shared: A, SOG, G, PPP
  • Roman JosiD · Nashville Predators88% match
    shared: A, SOG, G, PPP
  • Noah DobsonD · Montreal Canadiens87% match
    shared: SOG, A, G, PPP
Complementary Defense
Same position, opposite profile — strong where John Carlson 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 · Jon Cooper (TBL)
Last year (WSH, traded): Joel Quenneville ANA · pre-trade → Spencer Carbery WSH · acquired mid-season (small sample) — in-season change
Metric26-27
proj
2025-26Prev 3Diff
TOI23.0723.1624.48-5%
5v5 TOI17.0316.7617.24-3%
PP TOI3.002.743.34-18%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 17 · 16
TOI*
3-yr 24.4823.54Q1Q2Q3Q4
5v5 TOI
3-yr 17.2417.84Q1Q2Q3Q4
PP TOI
3-yr 3.343.37Q1Q2Q3Q4
*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
23.0722-2323-2424-2525-2626-27
5v5 TOI
17.0322-2323-2424-2525-2626-27
PP TOI
3.0022-2323-2424-2525-2626-27

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/605.375.655.49+3%
G/600.250.350.17+102%
iSH%4.686.193.17+96%
ixG/600.330.26+28%
iCF/6013.5113.33+1%
iSCF/603.834.02-5%
iHDCF/600.910.64+41%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 17 · 16
SOG/60
3-yr 5.495.25Q1Q2Q3Q4
iSH%
3-yr 3.174.00Q1Q2Q3Q4
ixG/60
3-yr 0.260.19Q1Q2Q3Q4
iCF/60
3-yr 13.3313.45Q1Q2Q3Q4
iSCF/60
3-yr 4.021.89Q1Q2Q3Q4
iHDCF/60
3-yr 0.640.00Q1Q2Q3Q4
By season — year over year
SOG/60
5.6522-2323-2424-2525-26
iSH%
6.1922-2323-2424-2525-26
ixG/60
0.3322-2323-2424-2525-26
iCF/60
13.5122-2323-2424-2525-26
iSCF/60
3.8322-2323-2424-2525-26
iHDCF/60
0.9122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
1122-2323-2424-25H1H226-27
all5v5
SOG
18222-2323-2424-25H1H226-27
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)
TailwindProcess rising: 5v5 ixG/60 0.33 (33rd pct league-wide) up on the 3-yr 0.26 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.
ContextTrajectory: 5v5 ixG/60 fell from 0.40 (1st half) to 0.25 (2nd).
RiskAge 36 — 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%10.3110.658.78+21%
IPP48.9650.6141.43+22%
1A/600.660.760.42+83%
2A/600.550.550.50+10%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 17 · 16
1A/60
3-yr 0.420.63Q1Q2Q3Q4
2A/60
3-yr 0.500.63Q1Q2Q3Q4
By season — year over year
1A/60
0.7622-2323-2424-2525-26
2A/60
0.5522-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
5522-2323-2424-25H1H226-27
all5v5
PTS
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)
RiskAssists projected DOWN: on-ice SH% 10.6% (3-yr 8.8%) AND IPP 50.6% (3-yr 41.4%) both ran hot — team finishing + participation luck stacked. Regressing both trims the assist rate ~3%.
TailwindHigh-danger setups up (iHDCF/60 0.91 vs 0.64) — the dangerous chances that turn into primary assists are trending 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 TOI3.002.743.34-18%
PP iSH%9.8611.179.44+18%
PP SOG/607.575.559.48-41%
PP ixG/600.621.15-46%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 17 · 16
PP TOI/GP
3-yr 3.343.37Q1Q2Q3Q4
PP SOG/60
3-yr 9.4811.14Q1Q2Q3Q4
PP ixG/60
3-yr 1.150.90Q1Q2Q3Q4
By season — year over year
PP TOI/GP
2.7422-2323-2424-2525-26
PP SOG/60
5.5522-2323-2424-2525-26
PP ixG/60
0.6222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
1722-2323-2424-25H1H226-27
PPG
422-2323-2424-25H1H226-27
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)
TailwindBoost Carlson PPP/PTS to a PP1 role; cut Hedman PPP toward a PP2/off-unit share. · Apples & Ginos Fantasy Hockey
TailwindPP role projected up: 2.7→3.0 PP TOI/gp (PP1 quarterback on an elite finishing unit with Kucherov/Point (2.74 Washington -> ~3.0 PP TOI); the ~70-pt ceiling comes from the PP minutes, held modest for age 36) — 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/601.131.410.86+63%
Hits/601.431.062.30-54%
Blks/604.243.834.85-21%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 17 · 16
PIMs/60
3-yr 0.860.84Q1Q2Q3Q4
Hits/60
3-yr 2.301.26Q1Q2Q3Q4
Blks/60
3-yr 4.852.94Q1Q2Q3Q4
By season — year over year
PIMs/60
1.4122-2323-2424-2525-26
Hits/60
1.0622-2323-2424-2525-26
Blks/60
3.8322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
2822-2323-2424-25H1H226-27
all5v5
HITS
4122-2323-2424-25H1H226-27
all5v5
BLK
13822-2323-2424-25H1H226-27
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 1.26/60 and 2nd-half 1.15 vs a 1.06 season rate (2.30 3-yr) (8th pct league-wide) — reads as a real role/confidence step, so projected UP to 1.43/60, weighting the finish over the 3-yr baseline.
ContextBlocks role-stable at 3.83/60 (78th pct league-wide) → 4.24 projected.