🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Jordan Kyrou

WSH · Age 28.2 · 🇨🇦 Canada · 6′1″, 196 lb · Draft 2016, 35th overall (STL)
WSHteam
RWposition
58position rank
148skater rank
48overall
34offense
14peripherals

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

Per 82 GP2026-27projection adj2025-2672 GPH239 GPH133 GPPrev 3243 GP · 3y
TOI16.4915.7314.7915.2417.94
PP TOI2.422.172.112.232.71
G3220192235
A3732392336
PTS6952584571
PPP1816211021
SOG217197195199257
PIM16913522
Hits1916141830
Blocks3232313332

Sample: 72 GP · 922 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingRight wing · league-wide (of 273)
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 is his 2025-26 St. Louis season. Washington rebuilt around Kyrou/Tuch/Protas; 70-pt target.

Context brain — deployment, role, coaching & injury signals (why the line should move)
TailwindBoost toward a 70-point top-six line in a high-octane WSH offense. · Apples & Ginos Fantasy Hockey

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
PPP
1822-2323-2424-25H1H226-27

Power play points ran at a 21 pace in the second half after 10 in the first, per 82 games.

We project it up
G
3222-2323-2424-25H1H226-27
all5v5

We’re projecting goals 60% above last season, 20 to 32.

Second-half surge
A
3722-2323-2424-25H1H226-27
all5v5

Assists ran at a 39 pace in the second half after 23 in the first, per 82 games.

We project it up
PTS
6922-2323-2424-25H1H226-27
all5v5

We’re projecting points 33% above last season, 52 to 69.

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
  • Kyle ConnorLW · Winnipeg Jets86% match
    shared: SOG, G, A, PPP
  • Brayden PointC · Tampa Bay Lightning86% match
    shared: G, A, SOG, PPP
  • Jared McCannC,LW · Seattle Kraken86% match
    shared: SOG, G, PPP
  • Troy TerryRW · Anaheim Ducks85% match
    shared: SOG, A
Complementary Forward
Same position, opposite profile — strong where Jordan Kyrou 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 · Spencer Carbery (WSH)
Last year (STL, traded): Jim Montgomery full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI16.4915.7317.94-12%
5v5 TOI13.2512.8114.17-10%
PP TOI2.422.172.71-20%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 13 · 20 · 19
TOI*
3-yr 17.9414.17Q1Q2Q3Q4
5v5 TOI
3-yr 14.1712.49Q1Q2Q3Q4
PP TOI
3-yr 2.711.66Q1Q2Q3Q4
*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
16.4922-2323-2424-2525-2626-27
5v5 TOI
13.2522-2323-2424-2525-2626-27
PP TOI
2.4222-2323-2424-2525-2626-27

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/608.658.6510.06-14%
G/600.880.781.20-35%
iSH%10.149.0211.96-25%
ixG/600.870.81+7%
iCF/6018.0217.99+0%
iSCF/6010.219.85+4%
iHDCF/603.193.10+3%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 13 · 20 · 19
SOG/60
3-yr 10.066.82Q1Q2Q3Q4
iSH%
3-yr 11.960.00Q1Q2Q3Q4
ixG/60
3-yr 0.810.61Q1Q2Q3Q4
iCF/60
3-yr 17.9917.44Q1Q2Q3Q4
iSCF/60
3-yr 9.858.59Q1Q2Q3Q4
iHDCF/60
3-yr 3.102.78Q1Q2Q3Q4
By season — year over year
SOG/60
8.6522-2323-2424-2525-26
iSH%
9.0222-2323-2424-2525-26
ixG/60
0.8722-2323-2424-2525-26
iCF/60
18.0222-2323-2424-2525-26
iSCF/60
10.2122-2323-2424-2525-26
iHDCF/60
3.1922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
3222-2323-2424-25H1H226-27
all5v5
SOG
21722-2323-2424-25H1H226-27
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)
TailwindPositive finishing regression; ceiling unlocks on a move. · Apples & Ginos Fantasy Hockey
TailwindSupport scoring baselines for both; Kyrou's scenery change (flagged earlier) is realized in a favorable role. · Analytics research compilation
TailwindGoals projected UP: iSH% cratered to 9.0% vs 12.0% 3-yr while 5v5 ixG/60 0.87 (84th pct league-wide) held/rose — the chances say the finishing rebounds toward 10.1%, lifting the goal rate ~12%.
RiskShot volume down 14% (5v5 SOG/60 8.65 vs 10.06) — 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%9.889.6510.24-6%
IPP71.8869.2375.97-9%
1A/600.750.780.71+10%
2A/600.390.330.40-18%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 13 · 20 · 19
1A/60
3-yr 0.711.52Q1Q2Q3Q4
2A/60
3-yr 0.400.25Q1Q2Q3Q4
By season — year over year
1A/60
0.7822-2323-2424-2525-26
2A/60
0.3322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
3722-2323-2424-25H1H226-27
all5v5
PTS
6922-2323-2424-25H1H226-27
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% 9.7%, IPP 69.2%).

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI2.422.172.71-20%
PP iSH%17.8213.8118.95-27%
PP SOG/6011.2711.1512.47-11%
PP ixG/601.521.61-6%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 13 · 20 · 19
PP TOI/GP
3-yr 2.711.66Q1Q2Q3Q4
PP SOG/60
3-yr 12.4711.40Q1Q2Q3Q4
PP ixG/60
3-yr 1.612.85Q1Q2Q3Q4
By season — year over year
PP TOI/GP
2.1722-2323-2424-2525-26
PP SOG/60
11.1522-2323-2424-2525-26
PP ixG/60
1.5222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
1822-2323-2424-25H1H226-27
PPG
622-2323-2424-25H1H226-27
PPA
1222-2323-2424-25H1H226-27
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 (upside if he secures a permanent PP1 role in Washington — bet on the PP minutes) — the biggest PPP lever.
TailwindPP finishing ran cold (13.8% vs 19.0%) over steady PP chances — PP goals should rebound.

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/600.700.520.91-43%
Hits/600.800.721.41-49%
Blks/601.611.631.50+9%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 13 · 20 · 19
PIMs/60
3-yr 0.911.01Q1Q2Q3Q4
Hits/60
3-yr 1.410.51Q1Q2Q3Q4
Blks/60
3-yr 1.502.27Q1Q2Q3Q4
By season — year over year
PIMs/60
0.5222-2323-2424-2525-26
Hits/60
0.7222-2323-2424-2525-26
Blks/60
1.6322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
1622-2323-2424-25H1H226-27
all5v5
HITS
1922-2323-2424-25H1H226-27
all5v5
BLK
3222-2323-2424-25H1H226-27
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 0.51/60 and 2nd-half 0.49 below the 0.72 season rate — projected DOWN to 0.80/60, weighting the recent decline over the 1.41 3-yr mark.
TailwindBlocks surging late: Q4 2.27/60 and 2nd-half 1.60 vs a 1.63 season rate (1.50 3-yr) (21st pct league-wide) — reads as a real role/confidence step, so projected UP to 1.61/60, weighting the finish over the 3-yr baseline.