ASR 1-2 REA · 44% MAN 2-1 PAR · 45% AST 2-1 FEN · 46% REA 1-1 FCP · 40% BOD 1-2 BOR · 44% SHA 1-0 AEK · 38% SLO 0-2 VFB · 49% INT 2-1 NEW · 42% COL 2-1 CHA · 43% FCC 2-1 NEW · 44% TOR 1-1 ORL · 37% CFM 1-1 ATL · 37% DCU 1-1 NEW · 40% FCD 1-1 SEA · 37% ASR 1-2 REA · 44% MAN 2-1 PAR · 45% AST 2-1 FEN · 46% REA 1-1 FCP · 40% BOD 1-2 BOR · 44% SHA 1-0 AEK · 38% SLO 0-2 VFB · 49% INT 2-1 NEW · 42% COL 2-1 CHA · 43% FCC 2-1 NEW · 44% TOR 1-1 ORL · 37% CFM 1-1 ATL · 37% DCU 1-1 NEW · 40% FCD 1-1 SEA · 37%
KHL Oct 1, 2026 · 16:30 Finished

Dinamo Minsk
vs
CSKA Moscow.

Quick answer

Who will win Dinamo Minsk vs CSKA Moscow?

Final score: Dinamo Minsk 1–4 CSKA Moscow. Before kickoff, 10 of 10 AI models pick Dinamo Minsk to win (100%); the consensus was wrong. The AI predicted score was 3–2.

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 (305 games).

10 AI models read this game. The plurality on the winner leans toward Dinamo Minsk (10 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?

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

Still not sure? Ask 10 AIs at once:
“Will Dinamo Minsk beat CSKA Moscow 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.

Dinamo Minsk win 100%

10 / 10 models

CSKA Moscow 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
Dinamo Minsk win
3–2
57%
Dinamo Minsk have won three of the last five meetings, including a recent 3-0 home victory. CSKA Moscow remain a strong opponent, so home advantage supports a narrow, moderate-scoring win rather than a large margin.
02
Claude Sonnet 5
Dinamo Minsk win
3–2
58%
Dinamo won the most recent meeting 3-0 and holds a 3-2 edge in the last five encounters, with home venue as a slight extra edge.
03
Gemini 3.8 Flash
Dinamo Minsk win
3–2
58%
Dinamo Minsk have performed exceptionally well at home against CSKA recently, winning their last three home meetings through disciplined structured defence and opportunistic transition scoring.
04
Grok 4.6
Dinamo Minsk win
3–1
58%
Minsk has dominated recent home H2H vs CSKA (3-0, 5-2, 2-0). Venue edge and that pattern support a home win at a modest KHL pace.
05
DeepSeek V4 Pro
Dinamo Minsk win
3–2
62%
Dinamo Minsk won the most recent meeting 3-0 and has taken three of the last five, showing a clear home-ice edge in this matchup. CSKA remains dangerous, but Minsk's recent control of the series supports a narrow home win.
06
Qwen 3.8 Max
Dinamo Minsk win
3–1
62%
Dinamo Minsk won 3 of last 5 H2H including a 3-0 shutout at home in August; home venue advantage and recent defensive solidity support another controlled win.
07
Mistral Medium 3.5
Dinamo Minsk win
3–1
62%
Dinamo Minsk strong at home with recent H2H wins; CSKA Moscow inconsistent away.
08
Kimi K3
Dinamo Minsk win
3–2
58%
Dinamo Minsk has won three of the last five H2H meetings, including a 3-0 home win in August, and Minsk home ice has been favorable; CSKA remains dangerous offensively, so a narrow home win.
09
GLM 5.3
Dinamo Minsk win
3–1
58%
Minsk won three of the last five meetings, including a 3-0 home shutout in August; home ice and recent H2H edge support a moderate-margin win, though CSKA remains dangerous.
10
MiMo V2.5 Pro
Dinamo Minsk win
3–2
58%
Home team has won three of last five H2H, including most recent; home venue and recent form suggest a close, competitive game with Dinamo edging it.
— Scoreline frequency

How often each scoreline showed up.

6 of 10 models settled on 3–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 3–2
    6 models
  • 3–1
    4 models

Match overview

Looking for a today prediction on Dinamo Minsk vs CSKA Moscow 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 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 Dinamo Minsk win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Dinamo Minsk vs CSKA Moscow, 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 Dinamo Minsk

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

02
Medium confidence

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

03
xG tilt 3.00 vs 1.60

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.