UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60% UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60%
KHL Sep 11, 2026 · 16:30 Not Started

CSKA Moscow
vs
Vladivostok.

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 3–1 at 63% 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

Vladivostok win 0%

0 / 10 models

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— 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
3–1
66%
CSKA Moscow’s home advantage and stronger recent head-to-head results support the home win. The 1-0 meeting in Moscow suggests Vladivostok can make this relatively controlled, lower-scoring matchup rather than an expected blowout.
02
Claude Sonnet 5
CSKA Moscow win
3–2
60%
CSKA has won 3 of last 5 H2H meetings including a narrow home win, and home venue typically favors their structured defensive style in tight KHL contests.
03
Gemini 3.8 Flash
CSKA Moscow win
4–1
72%
CSKA Moscow hold a commanding quality advantage at home, where Admiral Vladivostok typically struggle offensively against disciplined, structured defensive systems.
04
Grok 4.6
CSKA Moscow win
3–1
62%
CSKA are the stronger KHL side and won both recent home meetings; Admiral’s long Far East trip supports a controlled Moscow win, not a shootout.
05
DeepSeek V4 Pro
CSKA Moscow win
3–1
65%
CSKA Moscow won both recent home H2H meetings and have the stronger roster; Vladivostok tend to score little away, so a controlled home win fits.
06
Qwen 3.8 Max
CSKA Moscow win
3–1
62%
CSKA won both home H2H meetings convincingly (6-2, 1-0). Home venue advantage and historical dominance over Vladivostok support a comfortable but not dominant margin.
07
Mistral Medium 3.5
CSKA Moscow win
3–2
65%
Home edge and recent H2H favor CSKA; close contest likely.
08
Kimi K3
CSKA Moscow win
4–2
62%
CSKA are the stronger KHL side at home and won the last two home meetings with Vladivostok (1-0, 6-2); Admiral can score but usually concedes more on the road.
09
GLM 5.3
CSKA Moscow win
4–2
60%
CSKA won three of the last five H2H meetings, including both 2025 matchups; home ice and stronger depth support a moderate home win.
10
MiMo V2.5 Pro
CSKA Moscow win
3–2
60%
CSKA Moscow has a perfect home record in recent H2H, with games tending to be close; home venue advantage supports a narrow win.
— Scoreline frequency

How often each scoreline showed up.

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

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

Match overview

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

If you are asking who will win CSKA Moscow vs Vladivostok, 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 CSKA Moscow

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

02
Medium confidence

Mean 63% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.30 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.

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.

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