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

Minnesota Wild
vs
San Jose Sharks.

Quick answer

Who will win Minnesota Wild vs San Jose Sharks?

Final score: Minnesota Wild 4–1 San Jose Sharks. Before kickoff, 8 of 10 AI models pick Minnesota Wild to win (80%); the consensus was right. The AI predicted score was 4–3.

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 Minnesota Wild (8 of 10 models). The mean predicted score (rounded from all models) is 4–3 at 57% 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.

Minnesota Wild win 80%

8 / 10 models

San Jose Sharks win 20%

2 / 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
Minnesota Wild win
4–3
59%
Minnesota's home ice supports a narrow edge, though the supplied meetings show San Jose repeatedly keeping this matchup close and winning several recent encounters. With no current form or roster details, a one-goal, moderately high-scoring result is the cautious estimate.
02
Claude Opus 5.5
Minnesota Wild win
4–3
55%
Minnesota has home ice and generally the deeper roster, but San Jose won three of the last four meetings, and those games were high-scoring. Context is limited, so a narrow home edge.
03
Gemini 4 Argon
Minnesota Wild win
4–2
62%
Minnesota holds superior two-way depth and home-ice advantage against a young, volatile San Jose squad prone to defensive lapses.
04
Grok 4.7
San Jose Sharks win
2–3
56%
Sharks won three of the last four meetings, including two at Minnesota. Home edge is real but recent results outweigh it; expect a tight, moderate-scoring game.
05
DeepSeek V4 Pro
Minnesota Wild win
4–3
58%
Recent H2H games have been high-scoring and close, with San Jose winning three straight. Minnesota's home venue and need to halt that skid give a slight edge, but the margin stays tight.
06
Qwen 3.8 Max
Minnesota Wild win
4–3
53%
San Jose won last three H2H but Minnesota's home ice and base-rate edge offset that; recent meetings trend high-scoring, supporting a close multi-goal affair.
07
Meta Muse Spark 1.3
San Jose Sharks win
3–4
56%
Sharks won last three meetings including twice in Minnesota; recent matchups ran high-scoring and open, favoring Sharks pace again.
08
Kimi K3
Minnesota Wild win
4–3
58%
Sharks won three straight H2H meetings, but Minnesota's home ice and typically stronger defensive structure give them the edge; these matchups trend high-scoring and tight.
09
GLM 5.3
Minnesota Wild win
4–2
61%
Minnesota is the stronger side at home, but recent H2H games were tight, high-event affairs with San Jose winning three straight, so a moderate home edge with goals both ways fits.
10
MiMo V2.6 Pro
Minnesota Wild win
4–3
55%
Sharks won three straight over Wild, but Minnesota's home edge and high-scoring series suggest a tight, winnable game; recent meetings show both defenses leak goals, so a one-goal home win fits.
— Scoreline frequency

How often each scoreline showed up.

6 of 10 models settled on 4–3. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

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

What’s moving the panel.

01
Consensus favors Minnesota Wild

80% of models lean home — the clearest cluster on this fixture before puck drop.

02
Medium confidence

Mean 57% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.70 vs 2.90

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 Minnesota Wild vs San Jose Sharks 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 (4 - 3; 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 Minnesota Wild win, with vote shares roughly 80% / 20% home and away (rounded).

If you are asking who will win Minnesota Wild vs San Jose Sharks, 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.