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 Not Started

San Jose Sharks
vs
Pittsburgh Penguins.

Quick answer

Who will win San Jose Sharks vs Pittsburgh Penguins?

7 of 10 AI models pick Pittsburgh Penguins to win (70%). The mean predicted score is 2–4 at 56% average confidence (medium).

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 Pittsburgh Penguins (7 of 10 models). The mean predicted score (rounded from all models) is 2–4 at 56% 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.

San Jose Sharks win 30%

3 / 10 models

Pittsburgh Penguins win 70%

7 / 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
Pittsburgh Penguins win
3–4
54%
The head-to-head results are mixed, including San Jose's home win, so they offer little decisive evidence; with no current form or roster details supplied, Pittsburgh gets only a modest edge in a close, potentially high-scoring game.
02
Claude Opus 5.5
San Jose Sharks win
4–3
51%
Context is thin and the teams look evenly matched. Recent meetings were high-scoring and split 1-1 last season, so I give San Jose a slight home edge in a close, one-goal game.
03
Gemini 4 Argon
Pittsburgh Penguins win
2–4
58%
Pittsburgh's veteran offensive depth should exploit San Jose's defensive transition vulnerabilities, giving the visiting Penguins a slight edge despite the cross-country travel.
04
Grok 4.7
Pittsburgh Penguins win
2–3
56%
Last five meetings favor Pittsburgh 3-2, including a 3-0 win in San Jose. Thin 2026 form and a split home history support a narrow road win.
05
DeepSeek V4 Pro
Pittsburgh Penguins win
4–5
61%
Pittsburgh has won three of the last five meetings and brings a deeper scoring core against a rebuilding Sharks side, though one recent Sharks upset adds risk.
06
Tencent Hy4
Pittsburgh Penguins win
2–4
56%
Recent H2H is split, but Pittsburgh has taken three of five and won 3-0 in San Jose last October; thin 2026 form keeps confidence modest.
07
Meta Muse Spark 1.3
San Jose Sharks win
4–3
54%
H2H is split but high-paced; Sharks at home offset cross-country trip for Pittsburgh. Expect open scoring like recent 6-5 and 4-3 meetings.
08
NVIDIA Nemotron 3 Ultra
Pittsburgh Penguins win
2–4
58%
Penguins hold clear roster advantage over rebuilding Sharks; H2H shows Pittsburgh winning 3 of last 5 with multi-goal margins.
09
GLM 5.3
San Jose Sharks win
4–3
55%
H2H has been tight and high-scoring lately (6-5, 4-3 games); Sharks took the last meeting and host here, but rosters have changed so edge is only modest.
10
MiMo V2.6 Pro
Pittsburgh Penguins win
3–4
52%
H2H shows split results but Pittsburgh won the last visit 3-0 and generally outpaces San Jose; Sharks' home edge is real yet their defense has conceded heavily in recent meetings.
— Scoreline frequency

How often each scoreline showed up.

3 of 10 models settled on 2–4. The rest of the list shows where dissent still lives before puck drop.

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

What’s moving the panel.

01
Consensus favors Pittsburgh Penguins

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

02
Medium confidence

Mean 56% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.00 vs 3.70

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 San Jose Sharks vs Pittsburgh Penguins 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 (2 - 4; 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 Pittsburgh Penguins win, with vote shares roughly 30% / 70% home and away (rounded).

If you are asking who will win San Jose Sharks vs Pittsburgh Penguins, 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.