CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% FAL 0-2 CEL · 62% DJU 2-0 DEG · 67% MAL 1-2 HAM · 52% ODE 1-1 SIL · 43% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% FAL 0-2 CEL · 62% DJU 2-0 DEG · 67% MAL 1-2 HAM · 52% ODE 1-1 SIL · 43%
KHL Finished

Novosibirsk
vs
Yekaterinburg.

Quick answer

Who will win Novosibirsk vs Yekaterinburg?

Final score: Novosibirsk 2–5 Yekaterinburg. Before kickoff, 10 of 10 AI models pick Yekaterinburg to win (100%); the consensus was right. The AI predicted score was 1–3.

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

All 10 AIs agree. When the whole council agrees, it has been right 61% of the time (362 games).

10 AI models read this game. The plurality on the winner leans toward Yekaterinburg (10 of 10 models). The mean predicted score (rounded from all models) is 1–3 at 65% 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.

Novosibirsk win 0%

0 / 10 models

Yekaterinburg 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-6 Luna
Yekaterinburg win
3–4
68%
Yekaterinburg has won the last five meetings, allowing only three total goals across them, including a 2-0 away victory in January. Novosibirsk's home ice may keep the margin moderate, but the matchup still favors the visitors.
02
Claude Sonnet 5.5
Yekaterinburg win
2–4
68%
Yekaterinburg has dominated recent meetings, winning all five with strong margins, showing clear stylistic and roster advantage over Novosibirsk.
03
Gemini 3.8 Flash
Yekaterinburg win
1–3
68%
Yekaterinburg has consistently dominated this matchup with solid defensive structure, repeatedly stifling Novosibirsk's attack across recent meetings.
04
Grok 4.7
Yekaterinburg win
2–4
60%
Yekaterinburg won all five recent meetings, including 5-0 and 4-2 in Novosibirsk. Thin new-season form data, but that mismatch still favors an away win.
05
DeepSeek V4 Pro
Yekaterinburg win
1–3
63%
Yekaterinburg have dominated recent H2H, including a 2-0 away win in January, while Novosibirsk's attack has struggled against them. Expect a controlled away victory.
06
Qwen 3.8 Max
Yekaterinburg win
1–3
72%
Yekaterinburg dominated all five recent H2H meetings convincingly, including multiple shutouts and blowouts. Their clear superiority over Novosibirsk persists despite venue change.
07
Mistral Medium 3.5
Yekaterinburg win
1–4
80%
Yekaterinburg dominates H2H 23-3 in last 5; home edge unlikely to overcome gap.
08
Kimi K3
Yekaterinburg win
1–4
72%
Yekaterinburg has won all five recent meetings, mostly by wide margins (7-1, 5-0 twice), showing a clear matchup edge over Novosibirsk that persists across venues.
09
GLM 5.3
Yekaterinburg win
1–4
65%
Yekaterinburg has won all five recent meetings, outscoring Novosibirsk 23-3 and holding them scoreless three times; that defensive dominance outweighs Novosibirsk's home ice in this early-season matchup.
10
MiMo V2.6 Pro
Yekaterinburg win
1–3
60%
Yekaterinburg has won all recent H2H matches by large margins; Novosibirsk's home performance is weak, suggesting a comfortable away win.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 1–3. The rest of the list shows where dissent still lives before puck drop.

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

What’s moving the panel.

01
Consensus favors Yekaterinburg

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

02
Medium confidence

Mean 65% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.40 vs 3.60

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 Novosibirsk vs Yekaterinburg 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 (1 - 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 Yekaterinburg win, with vote shares roughly 0% / 100% home and away (rounded).

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