SEA 2-1 REA · 56% AND 0-0 MAL · 52% NET 1-1 GER · 53% SER 1-0 GRE · 54% POR 2-0 WAL · 61% NOR 1-1 DEN · 53% AUS 2-0 ISR · 58% KOS 1-1 REP · 51% LIE 0-1 LIT · 59% BOR 2-1 WER · 63% RBL 2-1 EIN · 62% 189 2-1 HAM · 60% SCF 2-0 FCS · 63% FCA 1-3 BAY · 64% SEA 2-1 REA · 56% AND 0-0 MAL · 52% NET 1-1 GER · 53% SER 1-0 GRE · 54% POR 2-0 WAL · 61% NOR 1-1 DEN · 53% AUS 2-0 ISR · 58% KOS 1-1 REP · 51% LIE 0-1 LIT · 59% BOR 2-1 WER · 63% RBL 2-1 EIN · 62% 189 2-1 HAM · 60% SCF 2-0 FCS · 63% FCA 1-3 BAY · 64%
NHL Sep 23, 2026 · 02:00 After Penalties

San Jose Sharks
vs
Vegas Golden Knights.

Quick answer

Who will win San Jose Sharks vs Vegas Golden Knights?

10 of 10 AI models pick Vegas Golden Knights to win (100%). The mean predicted score is 4–5 at 68% average confidence (medium).

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

10 AI models read this game. The plurality on the winner leans toward Vegas Golden Knights (10 of 10 models). The mean predicted score (rounded from all models) is 4–5 at 68% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will San Jose Sharks beat Vegas Golden Knights in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

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— Consensus

Where the panel lands.

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

San Jose Sharks win 0%

0 / 10 models

Vegas Golden Knights win 100%

10 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
Vegas Golden Knights win
4–5
72%
Vegas has dominated four of the last five meetings, including two seven-goal wins, while San Jose’s home advantage is unlikely to offset the broader matchup gap. A moderately high-scoring Vegas victory is the best fit.
02
Claude Sonnet 5
Vegas Golden Knights win
3–4
60%
Vegas has dominated recent meetings, winning 4 of last 5 with strong offensive output, showing a clear edge in this matchup.
03
Gemini 3.8 Flash
Vegas Golden Knights win
2–4
68%
Vegas consistently controls this matchup with superior offensive depth and defensive structure, evidenced by dominant head-to-head results against a rebuilding San Jose side.
04
Grok 4.6
Vegas Golden Knights win
2–4
62%
Recent H2H is lopsided toward Vegas (four of five, including two 7-2s). Sharks remain the weaker side; Knights should control pace and win by a couple at SAP.
05
DeepSeek V4 Pro
Vegas Golden Knights win
4–5
68%
Vegas has dominated recent H2H, winning four of five, including two blowouts. San Jose's home edge is offset by Vegas's stronger scoring depth and defensive structure.
06
Qwen 3.8 Max
Vegas Golden Knights win
2–4
72%
Vegas dominated recent H2H with high-scoring wins, including two 7-2 results. Sharks remain a weaker roster; Knights' offensive depth should control this matchup.
07
Mistral Medium 3.5
Vegas Golden Knights win
4–5
72%
Vegas dominated recent H2H (7-2, 7-2, 4-3 wins) and outscored Sharks 23-12 in last 5 meetings.
08
Kimi K3
Vegas Golden Knights win
2–5
68%
Vegas has dominated this matchup, winning four of the last five meetings including two blowouts. San Jose's defense has consistently struggled to contain Vegas's attack, making a multi-goal road win the most likely outcome.
09
GLM 5.3
Vegas Golden Knights win
4–5
62%
Vegas won four of five recent meetings, including 7-2 and 7-2 blowouts, showing a clear edge over rebuilding San Jose; modest margin reflects one close Sharks home win in the sample.
10
MiMo V2.5 Pro
Vegas Golden Knights win
2–4
72%
Vegas dominates recent H2H (4-1 record, large margins) and likely has superior talent/coaching continuity; San Jose's rebuild and venue do not overcome the historical gap.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 4–5. The rest of the list shows where dissent still lives before kickoff.

  • 4–5
    4 models
  • 2–4
    4 models
  • 3–4
    1 model
  • 2–5
    1 model

Match overview

Looking for a today prediction on San Jose Sharks vs Vegas Golden Knights 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 - 5; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

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 Vegas Golden Knights win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win San Jose Sharks vs Vegas Golden Knights, 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.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Vegas Golden Knights

100% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 68% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.90 vs 4.50

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

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

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

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.