🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Daniil But

UTA · Age 21 · Draft 2023, 12th overall
UTAteam
LWposition
228position rank
667skater rank
-38overall
-38offense
0peripherals

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

Per 82 GP2026-27projection adj2025-2629 GPH214 GPH115 GPPrev 3thin
TOI13.1712.4712.4412.51
PP TOI1.291.351.081.64
G109135
A12111211
PTS22202516
PPP68016
SOG121122101148
PIM22232522
Hits42455738
Blocks46516641

Sample: 29 GP · 319 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.

Context-adjusted (▲/▼ vs the rate-model baseline): Rookie baseline: projected role (multi-year wait, don't buy 26-27; one day could become someone like Nichushkin) blended with 2025-26 NHL (29 GP) at w=0.50. Per-82 line; GP/availability is separate. Tune here. PERIPHERALS RE-DERIVED 2026-07-27: the rookie-baseline blend applied its w=0.50 blend weighting to hits/blocks/PIM as well as to scoring, which is wrong for role stats. Hits and blocks are the most persistent, least noisy things a young player produces (they are excluded from the engine's 3-yr rate hedge for exactly that reason), and that side of the blend carries no real information about them, so halving the observed rate toward it just discards the best signal available. Re-derived at 65/35 toward his own observed rate over projected TOI rather than 100%, since rookie minutes can still move.

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 fade
PP SOG/60
4.29Q1Q2Q3Q4

PP SOG/60 finished the year 71% below where it started (14.64 in the first half, 4.29 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half surge
BLK
4622-2323-2424-25H1H226-27
all5v5

Blocks ran at a 66 pace in the second half after 41 in the first, per 82 games.

We project it down
PPP
622-2323-2424-25H1H226-27

We’re projecting power play points 25% below last season, 8 to 6.

Top of the league
ixG/60
1.0722-2323-2424-2525-26

ixG/60 sits in the 97th percentile league-wide (1.07).

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
Complementary Forward
Same position, opposite profile — strong where Daniil But 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 · André Tourigny (UTA)
Last year: André Tourigny full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI13.1712.47n/a
5v5 TOI11.7011.00n/a
PP TOI1.291.35n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 15 · 13 · 1
TOI*
12.44Q1Q2Q3Q4
5v5 TOI
11.35Q1Q2Q3Q4
PP TOI
1.08Q1Q2Q3Q4
*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
13.1722-2323-2424-2525-2626-27
5v5 TOI
11.7022-2323-2424-2525-2626-27
PP TOI
1.2922-2323-2424-2525-2626-27

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/606.976.77n/a
G/600.390.38n/a
iSH%5.615.61n/a
ixG/601.07n/a
iCF/6015.23n/a
iSCF/609.03n/a
iHDCF/606.21n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 15 · 13 · 1
SOG/60
6.10Q1Q2Q3Q4
iSH%
13.28Q1Q2Q3Q4
ixG/60
1.13Q1Q2Q3Q4
iCF/60
14.23Q1Q2Q3Q4
iSCF/60
8.54Q1Q2Q3Q4
iHDCF/60
5.69Q1Q2Q3Q4
By season — year over year
SOG/60
6.7722-2323-2424-2525-26
iSH%
5.6122-2323-2424-2525-26
ixG/60
1.0722-2323-2424-2525-26
iCF/60
15.2322-2323-2424-2525-26
iSCF/60
9.0322-2323-2424-2525-26
iHDCF/60
6.2122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
1022-2323-2424-25H1H226-27
all5v5
SOG
12122-2323-2424-25H1H226-27
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)
ContextDo NOT project But for meaningful 2026-27 output despite the arrival tag; hold as a dynasty asset, keep near-term numbers minimal.
TailwindAge 21 — still on the up-slope of the scoring curve.
TailwindAge 21 on a single NHL season — projected a development step, not a flat repeat: scoring rates +8% and role +6% toward the mid-20s peak (a young riser improves on last year, not repeats it).

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%8.238.23n/a
IPP33.1933.19n/a
1A/600.380.38n/a
2A/600.000.00n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 15 · 13 · 1
1A/60
0.81Q1Q2Q3Q4
2A/60
0.00Q1Q2Q3Q4
By season — year over year
1A/60
0.3822-2323-2424-2525-26
2A/60
0.0022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
1222-2323-2424-25H1H226-27
all5v5
PTS
2222-2323-2424-25H1H226-27
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 33.2%).

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI1.291.35n/a
PP iSH%14.3114.31n/a
PP SOG/609.2710.76n/a
PP ixG/602.23n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 15 · 13 · 1
PP TOI/GP
1.08Q1Q2Q3Q4
PP SOG/60
4.29Q1Q2Q3Q4
PP ixG/60
1.17Q1Q2Q3Q4
By season — year over year
PP TOI/GP
1.3522-2323-2424-2525-26
PP SOG/60
10.7622-2323-2424-2525-26
PP ixG/60
2.2322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
622-2323-2424-25H1H226-27
PPG
222-2323-2424-25H1H226-27
PPA
422-2323-2424-25H1H226-27
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)
ContextPP role steady at ~1.3 PP TOI/gp.

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/601.501.50n/a
Hits/603.002.82n/a
Blks/603.363.20n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 15 · 13 · 1
PIMs/60
1.63Q1Q2Q3Q4
Hits/60
3.66Q1Q2Q3Q4
Blks/60
4.07Q1Q2Q3Q4
By season — year over year
PIMs/60
1.5022-2323-2424-2525-26
Hits/60
2.8222-2323-2424-2525-26
Blks/60
3.2022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
2222-2323-2424-25H1H226-27
all5v5
HITS
4222-2323-2424-25H1H226-27
all5v5
BLK
4622-2323-2424-25H1H226-27
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 3.66/60 and 2nd-half 3.66 vs a 2.82 season rate (n/a 3-yr) (36th pct league-wide) — reads as a real role/confidence step, so projected UP to 3.00/60, weighting the finish over the 3-yr baseline.
TailwindBlocks surging late: Q4 4.07/60 and 2nd-half 4.07 vs a 3.20 season rate (n/a 3-yr) (66th pct league-wide) — reads as a real role/confidence step, so projected UP to 3.36/60, weighting the finish over the 3-yr baseline.