🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Brandon Hagel

TBL · Age 27.9 · 🇨🇦 Canada · 6′2″, 179 lb · Draft 2016, 159th overall (BUF)
TBLteam
LWposition
15position rank
45skater rank
99overall
48offense
51peripherals

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

Per 82 GP2026-27projection2025-2671 GPH235 GPH136 GPPrev 3245 GP · 3y
TOI19.7319.7619.3117.3019.55
PP TOI2.442.212.771.662.07
G3842443930
A4844503846
PTS8686957777
PPP1514161111
SOG239247259235197
PIM5967746064
Hits3849296761
Blocks5044484051

Sample: 71 GP · 983 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingLeft wing · league-wide (of 281)
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
PP TOI
3-yr 2.072.55Q1Q2Q3Q4

PP TOI finished the year 65% above where it started (1.66 in the first half, 2.74 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
13.0022-2323-2424-2525-26

PP SOG/60 ran 84% above his 3-year rate last season (13.00 against 7.08).

Second-half fade
Hits/60
3-yr 2.710.00Q1Q2Q3Q4

Hits/60 finished the year 70% below where it started (3.44 in the first half, 1.02 in the second). The projection leans on how the season ended, so the second half counts for more.

Above his 3-year rate
PP ixG/60
1.9622-2323-2424-2525-26

PP ixG/60 ran 55% above his 3-year rate last season (1.96 against 1.27).

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
  • Travis KonecnyRW · Philadelphia Flyers83% match
    shared: PIM, A, SOG, G
  • Mark ScheifeleC · Winnipeg Jets81% match
    shared: A, G, PIM, Blocks
  • Alex TuchRW · Washington Capitals80% match
    shared: G, PIM, SOG, Blocks
  • Adrian KempeRW · Los Angeles Kings79% match
    shared: G, SOG, PIM, A
Complementary Forward
Same position, opposite profile — strong where Brandon Hagel 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: Jon Cooper full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI19.7319.7619.55+1%
5v5 TOI14.3113.8514.53-5%
PP TOI2.442.212.07+7%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 17 · 21 · 14
TOI*
3-yr 19.5519.54Q1Q2Q3Q4
5v5 TOI
3-yr 14.5314.75Q1Q2Q3Q4
PP TOI
3-yr 2.072.55Q1Q2Q3Q4
*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
19.7322-2323-2424-2525-2626-27
5v5 TOI
14.3122-2323-2424-2525-2626-27
PP TOI
2.4422-2323-2424-2525-2626-27

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/608.918.917.45+20%
G/601.301.400.94+48%
iSH%14.5615.7112.68+24%
ixG/601.200.89+35%
iCF/6020.8714.18+47%
iSCF/6012.339.20+34%
iHDCF/605.314.21+26%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 17 · 21 · 14
SOG/60
3-yr 7.458.13Q1Q2Q3Q4
iSH%
3-yr 12.6814.27Q1Q2Q3Q4
ixG/60
3-yr 0.891.15Q1Q2Q3Q4
iCF/60
3-yr 14.1820.33Q1Q2Q3Q4
iSCF/60
3-yr 9.2011.91Q1Q2Q3Q4
iHDCF/60
3-yr 4.215.52Q1Q2Q3Q4
By season — year over year
SOG/60
8.9122-2323-2424-2525-26
iSH%
15.7122-2323-2424-2525-26
ixG/60
1.2022-2323-2424-2525-26
iCF/60
20.8722-2323-2424-2525-26
iSCF/60
12.3322-2323-2424-2525-26
iHDCF/60
5.3122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
3822-2323-2424-25H1H226-27
all5v5
SOG
23922-2323-2424-25H1H226-27
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 1.20 (99th pct league-wide) up on the 3-yr 0.89 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.
TailwindShot volume up 20% (5v5 SOG/60 8.91 vs 7.45) — volume is the repeatable half, so this raises the goal ceiling.
ContextTrajectory: 5v5 ixG/60 fell from 1.33 (1st half) to 1.07 (2nd) even though shot volume held — a chance-quality dip, not a volume one.

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%11.4611.7310.23+15%
IPP74.3174.1974.81-1%
1A/601.041.100.89+24%
2A/600.550.490.55-11%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 17 · 21 · 14
1A/60
3-yr 0.891.45Q1Q2Q3Q4
2A/60
3-yr 0.550.87Q1Q2Q3Q4
By season — year over year
1A/60
1.1022-2323-2424-2525-26
2A/60
0.4922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
4822-2323-2424-25H1H226-27
all5v5
PTS
8622-2323-2424-25H1H226-27
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)
RiskOn-ice SH% hot at 11.7% vs a 10.2% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.
TailwindShot-driving up (5v5 iCF/60 20.87 vs 14.18) — real creation underneath, so don't over-regress the helpers.
TailwindHigh-danger setups up (iHDCF/60 5.31 vs 4.21) — the dangerous chances that turn into primary assists are trending up.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI2.442.212.07+7%
PP iSH%14.8614.6914.99-2%
PP SOG/6011.8913.007.08+84%
PP ixG/601.961.27+55%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 17 · 21 · 14
PP TOI/GP
3-yr 2.072.55Q1Q2Q3Q4
PP SOG/60
3-yr 7.0816.78Q1Q2Q3Q4
PP ixG/60
3-yr 1.272.66Q1Q2Q3Q4
By season — year over year
PP TOI/GP
2.2122-2323-2424-2525-26
PP SOG/60
13.0022-2323-2424-2525-26
PP ixG/60
1.9622-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
1522-2323-2424-25H1H226-27
PPG
622-2323-2424-25H1H226-27
PPA
922-2323-2424-25H1H226-27
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)
TailwindPP role projected up: 2.2→2.4 PP TOI/gp (same coach (Jon Cooper) — carries the elevated finish (2nd half 2.7, Q4 2.6) over the full-year 2.2) — the biggest PPP lever.
TailwindPP chance quality up (PP ixG/60 1.96 vs 1.27) — 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/602.362.752.68+3%
Hits/601.732.262.71-17%
Blks/601.491.401.94-28%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 17 · 21 · 14
PIMs/60
3-yr 2.680.58Q1Q2Q3Q4
Hits/60
3-yr 2.710.00Q1Q2Q3Q4
Blks/60
3-yr 1.940.58Q1Q2Q3Q4
By season — year over year
PIMs/60
2.7522-2323-2424-2525-26
Hits/60
2.2622-2323-2424-2525-26
Blks/60
1.4022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
5922-2323-2424-25H1H226-27
all5v5
HITS
3822-2323-2424-25H1H226-27
all5v5
BLK
5022-2323-2424-25H1H226-27
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 0.00/60 and 2nd-half 1.02 below the 2.26 season rate — projected DOWN to 1.73/60, weighting the recent decline over the 2.71 3-yr mark.
RiskBlocks tailing off: Q4 0.58/60 and 2nd-half 1.42 below the 1.40 season rate — projected DOWN to 1.49/60, weighting the recent decline over the 1.94 3-yr mark.
TailwindFights / takes majors (0.06/60) — a real PIM source, valuable in banger and PIM formats.