🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Caleb Jones

PIT · Age 29.2 · 🇺🇸 USA · 6′1″, 194 lb · Draft 2015, 117th overall (EDM)
PITteam
Dposition
144position rank
423skater rank
-10overall
-50offense
41peripherals
goals
2
assists
15
points
17
power play points
3
shots on goal
81
penalty minutes
30
hits
126
blocked shots
131

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

Per 82 GP2026-27projection2025-26thinH225-26H17 GPPrev 398 GP · 2y
TOI17.42––15.4717.42
PP TOI1.19––0.211.19
G2–––3
A15–––14
PTS17–––17
PPP3–––4
SOG81–––88
PIM30–––40
Hits126–––125
Blocks131–––111

Sample: 7 GP · 106 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)
141Ryan Pulock-8
142Andrew Peeke-10
143Jonas Brodin-10
144Caleb Jones-10
145Andreas Englund-10
146Ian Cole-10
147Jonathan Aspirot-10
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.

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 Caleb Jones 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 · Dan Muse (PIT)
Last year: Dan Muse full season (1st yr) — no change
Metric26-27
proj		2025-26Prev 3Diff
TOI17.42n/a17.42
5v5 TOI15.28n/a15.28
PP TOI1.19n/a1.19
By quarter — 2025-26 vs 3-yr baseline
GP  7 · 0 · 0 · 0
TOI*
3-yr 17.4215.47Q1Q2Q3Q4
5v5 TOI
3-yr 15.2815.27Q1Q2Q3Q4
PP TOI
3-yr 1.190.21Q1Q2Q3Q4
*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
17.4222-2323-2424-2525-2626-27
5v5 TOI
15.2822-2323-2424-2525-2626-27
PP TOI
1.1922-2323-2424-2525-2626-27

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/603.33n/a3.57
G/600.08n/a0.08
iSH%2.25n/a2.25
ixG/60–n/a0.18
iCF/60–n/a7.97
iSCF/60–n/a2.52
iHDCF/60–n/a0.44
By quarter — 2025-26 vs 3-yr baseline
GP  7 · 0 · 0 · 0
SOG/60
3-yr 3.572.81Q1Q2Q3Q4
iSH%
3-yr 2.250.00Q1Q2Q3Q4
ixG/60
3-yr 0.180.14Q1Q2Q3Q4
iCF/60
3-yr 7.979.54Q1Q2Q3Q4
iSCF/60
3-yr 2.521.12Q1Q2Q3Q4
iHDCF/60
3-yr 0.440.00Q1Q2Q3Q4
By season — year over year
SOG/60
3.8922-2323-2424-2525-26
iSH%
0.0022-2323-2424-2525-26
ixG/60
0.1922-2323-2424-2525-26
iCF/60
7.9922-2323-2424-2525-26
iSCF/60
2.2522-2323-2424-2525-26
iHDCF/60
0.6122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
222-2323-2424-25H1H226-27
all5v5
SOG
8122-2323-2424-25H1H226-27
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)
ContextNo 2025-26 sample — goals/shots projected off the prior 3-yr profile, held flat.

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%8.16n/a8.16
IPP26.88n/a26.88
1A/600.26n/a0.24
2A/600.30n/a0.28
By quarter — 2025-26 vs 3-yr baseline
GP  7 · 0 · 0 · 0
1A/60
3-yr 0.240.56Q1Q2Q3Q4
2A/60
3-yr 0.280.00Q1Q2Q3Q4
By season — year over year
1A/60
0.4122-2323-2424-2525-26
2A/60
0.4122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
1522-2323-2424-25H1H226-27
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)
ContextAssist environment looks normal (on-ice SH% 8.2%, IPP 26.9%).
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 TOI1.19n/a1.19
PP iSH%10.10n/a10.10
PP SOG/602.83n/a5.13
PP ixG/60–n/a0.47
By quarter — 2025-26 vs 3-yr baseline
GP  7 · 0 · 0 · 0
PP TOI/GP
3-yr 1.190.21Q1Q2Q3Q4
PP SOG/60
3-yr 5.130.00Q1Q2Q3Q4
PP ixG/60
3-yr 0.470.00Q1Q2Q3Q4
By season — year over year
PP TOI/GP
0.1022-2323-2424-2525-26
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
322-2323-2424-25H1H226-27
PPG
122-2323-2424-25H1H226-27
PPA
222-2323-2424-25H1H226-27
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)
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/601.01n/a1.68
Hits/605.77n/a5.77
Blks/605.93n/a4.56
By quarter — 2025-26 vs 3-yr baseline
GP  7 · 0 · 0 · 0
PIMs/60
3-yr 1.680.00Q1Q2Q3Q4
Hits/60
3-yr 5.775.61Q1Q2Q3Q4
Blks/60
3-yr 4.567.30Q1Q2Q3Q4
By season — year over year
PIMs/60
1.6422-2323-2424-2525-26
Hits/60
6.9722-2323-2424-2525-26
Blks/60
5.1222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
3022-2323-2424-25H1H226-27
all5v5
HITS
12622-2323-2424-25H1H226-27
all5v5
BLK
13122-2323-2424-25H1H226-27
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 5.77/60 (67th pct league-wide) → 5.77 projected.
TailwindBlocks surging late: Q4 7.30/60 and 2nd-half 7.30 vs a 4.56 season rate (4.56 3-yr) (89th pct league-wide) — reads as a real role/confidence step, so projected UP to 5.93/60, weighting the finish over the 3-yr baseline.