OAK 1-1 SAN · 35% PHO 2-1 LAS · 42% SAC 1-0 COL · 43% LOS 2-1 VAN · 44% ALT 1-0 GRE · 36% COM 1-2 ASR · 47% ELC 1-1 CEL · 45% CRY 1-1 NOT · 45% HUL 1-2 EVE · 45% NIC 2-1 STR · 46% LAZ 2-0 MON · 51% LEC 0-1 BOL · 43% 1.F 2-2 BOR · 42% REA 2-0 DEP · 51% OAK 1-1 SAN · 35% PHO 2-1 LAS · 42% SAC 1-0 COL · 43% LOS 2-1 VAN · 44% ALT 1-0 GRE · 36% COM 1-2 ASR · 47% ELC 1-1 CEL · 45% CRY 1-1 NOT · 45% HUL 1-2 EVE · 45% NIC 2-1 STR · 46% LAZ 2-0 MON · 51% LEC 0-1 BOL · 43% 1.F 2-2 BOR · 42% REA 2-0 DEP · 51%
KHL Oct 4, 2026 · 11:00 Finished

Niznekamsk
vs
Novosibirsk.

Quick answer

Who will win Niznekamsk vs Novosibirsk?

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

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 (297 games).

10 AI models read this game. The plurality on the winner leans toward Niznekamsk (10 of 10 models). The mean predicted score (rounded from all models) is 3–1 at 59% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

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

Still not sure? Ask 10 AIs at once:
“Will Niznekamsk beat Novosibirsk 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.

Niznekamsk win 100%

10 / 10 models

Novosibirsk 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
Niznekamsk win
3–2
62%
Niznekamsk won four of the last five meetings, including a 3-0 result in September. Novosibirsk’s recent 6-3 win shows upset potential, but home ice and the generally competitive series favor a narrow Niznekamsk victory.
02
Claude Sonnet 5
Niznekamsk win
4–2
62%
Niznekamsk have won 4 of last 5 meetings including the most recent, with home ice adding further edge over Novosibirsk.
03
Gemini 3.8 Flash
Niznekamsk win
3–1
62%
Niznekamsk have dominated recent head-to-head clashes against Novosibirsk, including a shutout win earlier in the month, holding the tactical and home-ice edge.
04
Grok 4.6
Niznekamsk win
3–1
58%
Niznekamsk won four of five recent H2H, including 3-0 away last month. Home ice in KHL favors a controlled, low-event win rather than another 6-goal shootout.
05
DeepSeek V4 Pro
Niznekamsk win
3–1
62%
Niznekamsk won the most recent meeting 3-0 and has home ice; Novosibirsk's form is mixed with a 6-3 outlier but recent defensive issues.
06
Qwen 3.8 Max
Niznekamsk win
3–1
62%
Niznekamsk won 4 of last 5 H2H meetings including a 3-0 shutout in September; home venue reinforces their edge.
07
Mistral Medium 3.5
Niznekamsk win
3–1
62%
Niznekamsk dominates recent H2H (4 wins in last 5), home advantage, and consistent scoring edge.
08
Kimi K3
Niznekamsk win
3–2
62%
Niznekamsk has won four of the last five H2H meetings, including a 3-0 road win in September; home ice and that recent edge suggest a tight home win.
09
GLM 5.3
Niznekamsk win
3–2
58%
Niznekamsk won 4 of the last 5 H2H meetings, including a 3-0 road shutout in September, and host here; Novosibirsk's 6-3 win shows they can score, so a modest home edge fits.
10
MiMo V2.5 Pro
Niznekamsk win
3–2
62%
Niznekamsk won 3 of the last 5 H2H, including a recent 3-0 away win, suggesting a current edge; home venue adds a slight advantage in a likely close, moderate-scoring game.
— Scoreline frequency

How often each scoreline showed up.

5 of 10 models settled on 3–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

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

Match overview

Looking for a today prediction on Niznekamsk vs Novosibirsk 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 - 1; 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 Niznekamsk win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Niznekamsk vs Novosibirsk, 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 Niznekamsk

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

02
Medium confidence

Mean 59% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.10 vs 1.50

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.