JUV 2-0 REN · 59% ARA 1-2 AZA · 54% DIN 1-0 NEC · 55% FER 2-0 TOR · 64% LEC 1-1 SUN · 48% OFI 0-2 BAY · 62% UNI 2-0 HAP · 56% STU 0-1 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% INT 0-1 UNI · 52% FKJ 0-2 BRI · 59% KAU 0-2 BRA · 62% JUV 2-0 REN · 59% ARA 1-2 AZA · 54% DIN 1-0 NEC · 55% FER 2-0 TOR · 64% LEC 1-1 SUN · 48% OFI 0-2 BAY · 62% UNI 2-0 HAP · 56% STU 0-1 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% INT 0-1 UNI · 52% FKJ 0-2 BRI · 59% KAU 0-2 BRA · 62%
KHL Sep 29, 2026 · 16:30 Finished

CSKA Moscow
vs
SKA St. Petersburg.

Quick answer

Who will win CSKA Moscow vs SKA St. Petersburg?

Final score: CSKA Moscow 6–5 SKA St. Petersburg. Before kickoff, 10 of 10 AI models pick CSKA Moscow to win (100%); the consensus was right. The AI predicted score was 4–2.

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 62% of the time (328 games).

10 AI models read this game. The plurality on the winner leans toward CSKA Moscow (10 of 10 models). The mean predicted score (rounded from all models) is 4–2 at 60% 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.

CSKA Moscow win 100%

10 / 10 models

SKA St. Petersburg 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
CSKA Moscow win
3–2
61%
CSKA won four of the last five meetings, including two in Moscow, while SKA’s lone recent victory was a tight 1-0. The matchup still projects as a close, disciplined game with home advantage deciding it.
02
Claude Sonnet 5
CSKA Moscow win
4–2
62%
CSKA won four of the last five meetings including a 6-2 rout, showing consistent home dominance and stronger recent scoring output against SKA.
03
Gemini 3.8 Flash
CSKA Moscow win
3–2
60%
CSKA Moscow holds home advantage and has historically edged tight, low-margin encounters against SKA St. Petersburg through disciplined defensive structure.
04
Grok 4.6
CSKA Moscow win
4–2
58%
Recent H2H is CSKA-heavy (four of five wins, several 4-2/6-2). Home ice in Moscow plus that scoring pattern supports a CSKA win by a couple of goals, not a blowout.
05
DeepSeek V4 Pro
CSKA Moscow win
3–2
62%
CSKA won four of the last five H2H meetings and have home ice; SKA can keep it close, but CSKA's recent scoring edge in this matchup points to a narrow home win.
06
Qwen 3.8 Max
CSKA Moscow win
3–2
62%
CSKA dominated this H2H series in March, winning 4 of 5 including a 6-2 rout at home. Home venue advantage and recent head-to-head dominance support a narrow CSKA win.
07
Mistral Medium 3.5
CSKA Moscow win
4–2
68%
CSKA Moscow holds 4-1 H2H edge this season with consistent scoring; home ice and recent form favor them.
08
Kimi K3
CSKA Moscow win
4–2
68%
CSKA won four of the last five H2H meetings, including a 6-2 rout, and SKA's only win was a 1-0 shutout. Home ice and recent offensive dominance favor CSKA.
09
GLM 5.3
CSKA Moscow win
4–2
58%
CSKA won four of the last five H2H meetings, including twice at home, and look stronger on paper; SKA's defense conceded heavily in those games, so a moderate home win fits.
10
MiMo V2.6 Pro
CSKA Moscow win
4–2
68%
CSKA's strong recent H2H record at home (4 wins in last 5) and higher-scoring trend suggest they maintain offensive pressure and edge this rivalry.
— Scoreline frequency

How often each scoreline showed up.

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

  • 4–2
    6 models
  • 3–2
    4 models
— Aggregated insights

What’s moving the panel.

01
Consensus favors CSKA Moscow

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

02
Medium confidence

Mean 60% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.60 vs 2.00

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 CSKA Moscow vs SKA St. Petersburg 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 (4 - 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 CSKA Moscow win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win CSKA Moscow vs SKA St. Petersburg, 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.

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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.