What the (public) models are saying — averaged prediction

Models checked (public output): Fox Sports (score prediction), Picks & Parlays (score prediction), plus I looked for ESPN, SportsLine and other top model outputs.

• Fox Sports — Kraken 4 — Blue Jackets 2.

• Picks & Parlays — Kraken 3 — Blue Jackets 1.

Average of public numeric model scores:
Kraken: (4 + 3) / 2 = 3.5 → round to 4
Blue Jackets: (2 + 1) / 2 = 1.5 → round to 2

Averaged public-model prediction (rounded): Seattle Kraken 4 — Columbus Blue Jackets 2.

My independent analysis (how I derived my prediction)

1) Pythagorean expectation (basic, arithmetic)

I used the standard hockey Pythagorean formula with exponent 2 (GF^2 / (GF^2 + GA^2)) using the per-game GF and GA shown on ESPN for both teams:

• Columbus (GF/G = 3.13; GA/G = 3.33) → Pythagorean win% ≈ 46.9%.

• Seattle (GF/G = 2.60; GA/G = 2.87) → Pythagorean win% ≈ 45.1%.

(So the Pythagorean metric shows this is essentially a toss-up — Columbus slightly ahead by that measure.)

Calculations (rounded): Columbus ≈ 0.469, Seattle ≈ 0.451.

2) Strength of Schedule (SOS)

Recent SOS / opponent difficulty trackers show Columbus has faced a slightly tougher strength of schedule than Seattle (Columbus listed among teams with a harder SOS remaining in the trackers I checked), while Seattle’s recent schedule has been relatively easier. That slightly favors Columbus’s underlying metrics being a bit more meaningful (i.e., Columbus’s GF/G is against tougher opposition).

3) Injuries / roster news (game-impacting)

• Seattle: Joey Daccord (G) is on IR / didn’t travel with team — Kraken goaltending depth is being tested. Jared McCann and Jared McCormick also listed with injury statuses (IR / OUT) on ESPN / PuckPedia. That weakens Seattle’s offense and goalie depth.

• Columbus: Miles Wood and Cole Sillinger are listed as day-to-day/questionable on the official injury reports — not ideal, but not the same level of confirmed absences as Seattle’s Daccord.

Net effect: Seattle’s confirmed goalie absence (Daccord) + key forward(s) on IR makes Seattle less certain than the raw “home favorite” moneyline suggests.

4) Recent performance / trends

• Columbus’s recent results have been better than you might expect; they’ve been competitive and scoring at ~3+ goals per game. Seattle has been solid defensively but is low on goals per game this season (Seattle listed near the bottom in GF). Recent single-game results show both teams have played high-scoring affairs, but many public previews are leaning under 6.5 for this matchup.

Synthesis and final prediction

What the public model average says: Seattle wins — ~4–2 (models with public score outputs skew Seattle).

What my independent analysis says:

• Pythagorean expectation: very close (slight Columbus edge).

• SOS: favors Columbus (they’ve faced tougher opponents; their 3.13 GF/G is against stiffer teams).

• Injuries/news: favors Columbus — Seattle’s confirmed goalie absence (Daccord) and offense injuries swing the margin toward Columbus as a value play.

• Market: Seattle is a short favorite at -120; Columbus is +100 (user-provided) — that’s a small underdog price where I see value if you believe the injury / SOS tilt. (You also noted puck line SEA -1.5 and total 6.5.)

My final call (recommended bets):

My PICK: Seattle Kraken Moneyline -120 (LOSE)

If you prefer the market consensus model pick (strictly average of the public final-score predictions): Seattle 4 — Columbus 2 (i.e., back Seattle). But I view Columbus ML (+100) as the better value given injuries + SOS + Pythagorean parity.