BOU 2-1 ACM · 50% BEş 2-1 CRY · 56% CEL 0-2 RED · 59% CEL 2-1 CEL · 44% 189 1-2 LYO · 53% JAG 1-2 AND · 47% LIL 0-1 REA · 53% OLY 2-1 SPA · 55% OMO 1-2 BEN · 59% PLZ 1-0 LEV · 53% AAR 1-0 EGN · 52% AJA 2-1 ATA · 50% BOR 2-1 KUP · 55% SCB 1-1 GEN · 46% BOU 2-1 ACM · 50% BEş 2-1 CRY · 56% CEL 0-2 RED · 59% CEL 2-1 CEL · 44% 189 1-2 LYO · 53% JAG 1-2 AND · 47% LIL 0-1 REA · 53% OLY 2-1 SPA · 55% OMO 1-2 BEN · 59% PLZ 1-0 LEV · 53% AAR 1-0 EGN · 52% AJA 2-1 ATA · 50% BOR 2-1 KUP · 55% SCB 1-1 GEN · 46%
KHL Oct 4, 2026 · 11:30 Finished

Yekaterinburg
vs
Khabarovsk.

Quick answer

Who will win Yekaterinburg vs Khabarovsk?

Final score: Yekaterinburg 0–3 Khabarovsk. Before kickoff, 9 of 10 AI models pick Yekaterinburg to win (90%); 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 Yekaterinburg (9 of 10 models). The mean predicted score (rounded from all models) is 3–2 at 58% 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.

Yekaterinburg win 90%

9 / 10 models

Khabarovsk win 10%

1 / 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
Yekaterinburg win
4–3
53%
Yekaterinburg has home advantage and won three of the last five meetings, but Khabarovsk recently scored five against them. The mixed history supports a competitive, moderately high-scoring home victory.
02
Claude Sonnet 5
Yekaterinburg win
4–3
53%
Recent H2H is split with both teams scoring freely; home venue edge nudges a close, high-tempo game toward Yekaterinburg.
03
Gemini 3.8 Flash
Yekaterinburg win
3–1
68%
Yekaterinburg holds strong home ice advantage where they consistently contain Khabarovsk's attack, historically limiting them to two goals or fewer in their meetings in Yekaterinburg.
04
Grok 4.6
Yekaterinburg win
3–2
58%
Yekaterinburg won all listed home H2H meetings (4-2, 3-1, 5-3). Khabarovsk travels far; modest home edge, typical KHL one-goal pace.
05
DeepSeek V4 Pro
Yekaterinburg win
3–2
58%
Yekaterinburg won two of the last three home meetings against Khabarovsk, and home ice should help them edge a close, moderately paced game.
06
Qwen 3.8 Max
Yekaterinburg win
3–2
62%
Yekaterinburg won both home H2H meetings convincingly (4-2, 3-1, 5-3). Home ice advantage and historical dominance at this venue support a home win, though Khabarovsk's recent 5-2 away win adds uncertainty.
07
Mistral Medium 3.5
Khabarovsk win
4–5
60%
Khabarovsk won last two meetings; Yekaterinburg struggles defensively. Away form and recent H2H favor Khabarovsk.
08
Kimi K3
Yekaterinburg win
3–2
58%
Yekaterinburg took two of the last three home meetings with Khabarovsk, and home ice in the Urals is a real edge; Khabarovsk's January wins came at home, so a tight low-margin home win fits.
09
GLM 5.3
Yekaterinburg win
4–2
58%
Yekaterinburg has won three of the last five H2H meetings at home by multi-goal margins; home venue edge outweighs Khabarovsk's recent road win, though thin form data keeps confidence moderate.
10
MiMo V2.6 Pro
Yekaterinburg win
3–2
58%
Recent H2H is split, but Yekaterinburg's home venue and a slight edge in recent form (4-2 win) suggest a narrow home victory in a competitive 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
  • 4–3
    2 models
  • 4–5
    1 model
  • 3–1
    1 model
  • 4–2
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Yekaterinburg

90% of models lean home — the clearest cluster on this fixture before puck drop.

02
Medium confidence

Mean 58% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.40 vs 2.40

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 Yekaterinburg vs Khabarovsk in KHL? 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 Yekaterinburg win, with vote shares roughly 90% / 10% home and away (rounded).

If you are asking who will win Yekaterinburg vs Khabarovsk, 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.

Related matches

— 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.