🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Sam Bennett

FLA · Age 30.1 · 🇨🇦 Canada · 6′1″, 195 lb · Draft 2014, 4th overall (CGY)
FLAteam
Cposition
26position rank
70skater rank
81overall
8offense
73peripherals

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

Per 82 GP2026-27projection adj2025-2676 GPH236 GPH140 GPPrev 3208 GP · 3y
TOI17.4018.4917.4717.2517.16
PP TOI2.253.263.263.252.16
G2428312624
A2935293928
PTS5363606552
PPP1315141613
SOG222218229208238
PIM89881007896
Hits10712474170184
Blocks4535353447

Sample: 76 GP · 1,004 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingCentre · league-wide (of 271)
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): Faded on the power play, harder than the first pass. Barkov's return plus Brady Tkachuk's arrival fills both spots Bennett might have claimed, and his 3.20 PP minutes were earned across a season Barkov missed from start to finish. Minutes go to 2.25, a clean second-unit share, with headline ice time to 17.4. The PP rate lift softens from 1.29 to 1.15 in the same move, because it was written against PP1-level deployment and would otherwise pay him for a job he no longer has. This lands him under the outside read, which applies the same demotion and still projects 60 per 82. That gap is the live risk on him.

Context brain — deployment, role, coaching & injury signals (why the line should move)
TailwindBoost top-line stars' TOI-driven baseline; discount depth-center scoring. · Fantasy coaching primer

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 SOG/60
3-yr 15.8817.61Q1Q2Q3Q4

PP SOG/60 finished the year 100% above where it started (7.60 in the first half, 15.18 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half fade
HITS
10722-2323-2424-25H1H226-27
all5v5

Hits ran at a 74 pace in the second half after 170 in the first, per 82 games.

Above his 3-year rate
PP TOI
2.2522-2323-2424-2525-2626-27

PP TOI ran 51% above his 3-year rate last season (3.26 against 2.16).

Above his 3-year rate
iSH%
13.2022-2323-2424-2525-26

iSH% ran 59% above his 3-year rate last season (13.20 against 8.31).

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
  • Adrian KempeRW · Los Angeles Kings85% match
    shared: SOG, PIM, Hits, G
  • Joel Eriksson EkC · Minnesota Wild83% match
    shared: SOG, Hits, G, PIM
  • Travis KonecnyRW · Philadelphia Flyers82% match
    shared: PIM, SOG, G, Hits
  • Dylan CozensC · Ottawa Senators82% match
    shared: Hits, PIM, SOG
Complementary Forward
Same position, opposite profile — strong where Sam Bennett is weak or average, light where he’s strong
  • Mitch MarnerC,LW,RW · Vegas Golden Knightscovers 2
    fills: A, PPP
  • Mark StoneRW · Vegas Golden Knightscovers 2
    fills: PPP, A
  • Matt DucheneC,RW · Dallas Starscovers 2
    fills: A, PPP
  • Nick SuzukiC · Montreal Canadienscovers 2
    fills: PPP, A
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 · Paul Maurice (FLA)
Last year: Paul Maurice full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI17.4018.4917.16+8%
5v5 TOI13.2513.2113.35-1%
PP TOI2.253.262.16+51%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 23 · 13
TOI*
3-yr 17.1617.53Q1Q2Q3Q4
5v5 TOI
3-yr 13.3513.77Q1Q2Q3Q4
PP TOI
3-yr 2.162.88Q1Q2Q3Q4
*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
17.4022-2323-2424-2525-2626-27
5v5 TOI
13.2522-2323-2424-2525-2626-27
PP TOI
2.2522-2323-2424-2525-2626-27

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/608.188.189.36-13%
G/600.931.080.78+39%
iSH%11.3513.208.31+59%
ixG/601.020.98+4%
iCF/6016.6116.79-1%
iSCF/609.8010.09-3%
iHDCF/604.364.76-8%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 23 · 13
SOG/60
3-yr 9.366.71Q1Q2Q3Q4
iSH%
3-yr 8.319.99Q1Q2Q3Q4
ixG/60
3-yr 0.980.87Q1Q2Q3Q4
iCF/60
3-yr 16.7913.75Q1Q2Q3Q4
iSCF/60
3-yr 10.098.38Q1Q2Q3Q4
iHDCF/60
3-yr 4.763.69Q1Q2Q3Q4
By season — year over year
SOG/60
8.1822-2323-2424-2525-26
iSH%
13.2022-2323-2424-2525-26
ixG/60
1.0222-2323-2424-2525-26
iCF/60
16.6122-2323-2424-2525-26
iSCF/60
9.8022-2323-2424-2525-26
iHDCF/60
4.3622-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
2422-2323-2424-25H1H226-27
all5v5
SOG
22222-2323-2424-25H1H226-27
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 1.02 (96th pct league-wide) up on the 3-yr 0.98 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.
RiskShot volume down 13% (5v5 SOG/60 8.18 vs 9.36) — volume is the repeatable half, so this caps the goal ceiling.

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%9.5111.177.90+41%
IPP65.0667.1761.64+9%
1A/600.670.720.63+15%
2A/600.370.420.37+14%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 23 · 13
1A/60
3-yr 0.631.01Q1Q2Q3Q4
2A/60
3-yr 0.371.01Q1Q2Q3Q4
By season — year over year
1A/60
0.7222-2323-2424-2525-26
2A/60
0.4222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
2922-2323-2424-25H1H226-27
all5v5
PTS
5322-2323-2424-25H1H226-27
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 11.2% vs a 7.9% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI2.253.262.16+51%
PP iSH%12.9311.0913.45-18%
PP SOG/6012.9610.9115.88-31%
PP ixG/602.092.41-13%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 23 · 13
PP TOI/GP
3-yr 2.162.88Q1Q2Q3Q4
PP SOG/60
3-yr 15.8817.61Q1Q2Q3Q4
PP ixG/60
3-yr 2.412.94Q1Q2Q3Q4
By season — year over year
PP TOI/GP
3.2622-2323-2424-2525-26
PP SOG/60
10.9122-2323-2424-2525-26
PP ixG/60
2.0922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
1322-2323-2424-25H1H226-27
PPG
522-2323-2424-25H1H226-27
PPA
822-2323-2424-25H1H226-27
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: 3.3→2.2 PP TOI/gp (A clean second-unit share, deepening the earlier trim. Barkov is back and Brady Tkachuk arrives, so the 2 spots Bennett could have claimed are both spoken for. His 3.20 was earned across a season Barkov missed from start to finish. 2.25 is what Florida's second unit actually pays.) — 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/603.653.703.93-6%
Hits/605.566.399.08-30%
Blks/601.981.852.14-13%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 23 · 13
PIMs/60
3-yr 3.932.01Q1Q2Q3Q4
Hits/60
3-yr 9.081.68Q1Q2Q3Q4
Blks/60
3-yr 2.142.35Q1Q2Q3Q4
By season — year over year
PIMs/60
3.7022-2323-2424-2525-26
Hits/60
6.3922-2323-2424-2525-26
Blks/60
1.8522-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
8922-2323-2424-25H1H226-27
all5v5
HITS
10722-2323-2424-25H1H226-27
all5v5
BLK
4522-2323-2424-25H1H226-27
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 1.68/60 and 2nd-half 3.23 below the 6.39 season rate — projected DOWN to 5.56/60, weighting the recent decline over the 9.08 3-yr mark.
TailwindBlocks surging late: Q4 2.35/60 and 2nd-half 1.98 vs a 1.85 season rate (2.14 3-yr) (27th pct league-wide) — reads as a real role/confidence step, so projected UP to 1.98/60, weighting the finish over the 3-yr baseline.
TailwindStrong PIM rate (3.70/60 (87th pct league-wide)) — a banger-league asset.