TüR 0-2 BEL · 59% ARM 0-1 CYP · 46% CAL 0-2 ALB · 59% TAR 0-2 LEV · 67% NAV 0-2 REA · 67% ITA 1-2 FRA · 45% CZE 0-2 SPA · 65% ENG 3-0 CRO · 64% ALB 1-1 FIN · 46% SAN 0-2 BEL · 68% MON 2-0 LAT · 59% ÁGU 2-1 IND · 44% ATL 2-0 ONC · 57% BUC 1-0 FOR · 50% TüR 0-2 BEL · 59% ARM 0-1 CYP · 46% CAL 0-2 ALB · 59% TAR 0-2 LEV · 67% NAV 0-2 REA · 67% ITA 1-2 FRA · 45% CZE 0-2 SPA · 65% ENG 3-0 CRO · 64% ALB 1-1 FIN · 46% SAN 0-2 BEL · 68% MON 2-0 LAT · 59% ÁGU 2-1 IND · 44% ATL 2-0 ONC · 57% BUC 1-0 FOR · 50%
NHL Finished

Seattle Kraken
vs
New York Rangers.

Quick answer

Who will win Seattle Kraken vs New York Rangers?

Final score: Seattle Kraken 3–4 New York Rangers. Before kickoff, 7 of 10 AI models pick Seattle Kraken to win (70%); the consensus was wrong. The AI predicted score was 3–2.

Consensus of independent AI models on TuringStats, updated before puck drop. Not betting advice.

10 AI models read this game. The plurality on the winner leans toward Seattle Kraken (7 of 10 models). The mean predicted score (rounded from all models) is 3–2 at 54% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Seattle Kraken win 70%

7 / 10 models

New York Rangers win 30%

3 / 10 models

— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6.1 Sol
New York Rangers win
3–4
54%
Seattle's recent head-to-head wins show it can challenge New York, but the meetings have been mixed and offer little evidence about current form. With no current-season form supplied, the Rangers get a narrow edge despite Seattle's home ice.
02
Claude Opus 5.5
Seattle Kraken win
3–2
52%
Context is thin and the teams look closely matched. Seattle took the latest H2H meeting and has the home ice edge. I expect a one-goal game, with limited evidence behind the lean.
03
Gemini 4 Argon
New York Rangers win
2–3
55%
The Rangers hold an offensive depth and goaltending edge in tight contests, historically performing well in Seattle despite competitive, close matchups.
04
Grok 4.7
New York Rangers win
2–3
55%
Rangers won both recent visits to Seattle (3-2, 2-0). Broader H2H is split and 2026 form is thin, so a one-goal road win is the modest lean.
05
DeepSeek V4 Pro
Seattle Kraken win
3–2
52%
Seattle won the most recent meeting 4-2 and holds home ice; Rangers won in Seattle last season, so this is close. Kraken's home edge and recent H2H scoring edge support a narrow win.
06
Qwen 3.8 Max
Seattle Kraken win
3–2
56%
Seattle won both recent H2H meetings including 4-2 on the road in Jan 2026; home ice adds edge. Moderate confidence given limited current form data.
07
Meta Muse Spark 1.3
Seattle Kraken win
4–3
54%
Seattle won two of last three meetings including 4-2 in New York; high-scoring history suits Kraken pace at home.
08
Kimi K3
Seattle Kraken win
4–3
57%
Seattle has won two of the last three meetings, including 4-2 in January, and these matchups trend high-scoring; home ice gives the Kraken a slight edge in what profiles as another open game.
09
GLM 5.3
Seattle Kraken win
3–2
52%
H2H is mixed and form data is thin, so only slight home edge from venue; Rangers won 3 of the last 5 meetings, keeping confidence low.
10
MiMo V2.6 Pro
Seattle Kraken win
3–2
52%
H2H is split but Seattle won two of last three, including a 4-2 at MSG in January; home ice and a modest scoring edge give Kraken a narrow call in a close, moderate-scoring game.
— Scoreline frequency

How often each scoreline showed up.

5 of 10 models settled on 3–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 3–2
    5 models
  • 2–3
    2 models
  • 4–3
    2 models
  • 3–4
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Seattle Kraken

70% of models lean home — the clearest cluster on this fixture before puck drop.

02
Medium confidence

Mean 54% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.00 vs 2.60

Derived from predicted scorelines (model means), not live game data — useful for pace vs vote-share sanity checks.

04
Match context

Rest, recent form and home advantage usually decide whether the favourite wins comfortably or the game stays close; check both teams below.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Match overview

Looking for a today prediction on Seattle Kraken vs New York Rangers in NHL? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (3 - 2; the frequency chart below lists the most common exact scorelines), and implied splits before puck drop.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is Seattle Kraken win, with vote shares roughly 70% / 30% home and away (rounded).

If you are asking who will win Seattle Kraken vs New York Rangers, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

Explore more

Keep browsing today prediction coverage and league hubs.

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— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.