BOR 2-1 WER · 52% RBL 2-1 EIN · 51% 189 2-1 HAM · 48% SCF 2-0 FCS · 54% FCA 1-3 BAY · 56% FSV 1-2 BAY · 47% UNI 2-0 SVE · 51% 1.F 2-2 BOR · 43% SCP 1-2 VFB · 45% LIV 1-1 MAN · 44% ARS 3-0 LEE · 60% CHE 2-1 BOU · 47% MAN 2-1 TOT · 45% AST 2-1 BRE · 45% BOR 2-1 WER · 52% RBL 2-1 EIN · 51% 189 2-1 HAM · 48% SCF 2-0 FCS · 54% FCA 1-3 BAY · 56% FSV 1-2 BAY · 47% UNI 2-0 SVE · 51% 1.F 2-2 BOR · 43% SCP 1-2 VFB · 45% LIV 1-1 MAN · 44% ARS 3-0 LEE · 60% CHE 2-1 BOU · 47% MAN 2-1 TOT · 45% AST 2-1 BRE · 45%
NHL Sep 27, 2026 · 02:00 Finished

Vegas Golden Knights
vs
San Jose Sharks.

Quick answer

Who will win Vegas Golden Knights vs San Jose Sharks?

Final score: Vegas Golden Knights 2–4 San Jose Sharks. Before kickoff, 10 of 10 AI models pick Vegas Golden Knights to win (100%); the consensus was wrong. The AI predicted score was 4–2.

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

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (269 games).

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 4–2 at 67% mean confidence (High 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 Vegas Golden Knights beat San Jose Sharks 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.

Vegas Golden Knights win 100%

10 / 10 models

San Jose Sharks win 0%

0 / 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
3–1
72%
Vegas has won all five listed recent meetings, including 2-1 four days earlier, and now returns home. San Jose’s offense has struggled in this matchup, while Vegas’ defensive edge supports a controlled margin.
02
Claude Sonnet 5
Vegas Golden Knights win
4–2
68%
Vegas has won all five recent H2H meetings, including the most recent, and holds clear home-ice edge over Sharks.
03
Gemini 3.8 Flash
Vegas Golden Knights win
4–2
72%
Vegas consistently controls this matchup with superior depth and home-ice advantage, having dominated recent head-to-head encounters against a rebuilding Sharks squad.
04
Grok 4.6
Vegas Golden Knights win
4–2
68%
Vegas swept the recent H2H including a 2-1 win days ago and two 7-2 routs. Home ice and a clear talent gap over San Jose support a two-goal home win, not another blowout.
05
DeepSeek V4 Pro
Vegas Golden Knights win
4–2
68%
Vegas has dominated recent H2H, winning four straight including 7-2 and 2-1 results; home ice and superior depth support a multi-goal margin.
06
Qwen 3.8 Max
Vegas Golden Knights win
4–1
72%
Vegas dominated all five recent H2H meetings, including a 7-2 and 7-2 rout. Home ice and San Jose's continued rebuilding status support a comfortable Golden Knights victory.
07
Mistral Medium 3.5
Vegas Golden Knights win
4–2
72%
Golden Knights dominate recent H2H (4 wins, 1 close loss) with strong home form; Sharks struggle defensively.
08
Kimi K3
Vegas Golden Knights win
4–2
72%
Vegas has won five straight H2H meetings, including a 2-1 victory four days ago, and holds a clear talent edge over San Jose. Home ice at T-Mobile Arena supports a multi-goal margin.
09
GLM 5.3
Vegas Golden Knights win
4–2
72%
Vegas has beaten San Jose in five straight H2H meetings, outscoring them heavily, and hosts this one; Sharks remain a rebuilding side, so a comfortable multi-goal home win fits.
10
MiMo V2.5 Pro
Vegas Golden Knights win
4–2
70%
Vegas won all recent H2H games and has home advantage; expect a moderate-scoring win with consistent offensive pressure.
— Scoreline frequency

How often each scoreline showed up.

8 of 10 models settled on 4–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

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

Match overview

Looking for a today prediction on Vegas Golden Knights 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 - 2; 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 100% / 0% home and away (rounded).

If you are asking who will win Vegas Golden Knights 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.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Vegas Golden Knights

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

02
High confidence

Mean 67% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.90 vs 1.80

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.