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 9, 2026 · 16:30 Finished

Dynamo Moscow
vs
Vladivostok.

10 AI models read this game. The plurality on the winner leans toward Dynamo Moscow (9 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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— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Dynamo Moscow win 90%

9 / 10 models

Vladivostok win 10%

1 / 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
Dynamo Moscow win
3–2
57%
Dynamo Moscow has the venue advantage in a closely matched series: the last five meetings were split 3-2 in Dynamo’s favor, while Vladivostok won the most recent encounter. A tight, moderate-scoring home win is likeliest.
02
Claude Sonnet 5
Dynamo Moscow win
3–2
55%
H2H is split evenly, but Dynamo Moscow's home venue and slight recent edge give them a narrow advantage in a closely contested matchup.
03
Gemini 3.8 Flash
Dynamo Moscow win
3–2
62%
Dynamo Moscow hold superior offensive depth at home, though Admiral Vladivostok's compact defensive structure keeps games tight and within reach.
04
Grok 4.6
Dynamo Moscow win
3–2
58%
Home ice and Vladivostok’s long Far East trip favor Dynamo; mixed H2H including a recent 1-2 Moscow loss keeps this a one-goal game.
05
DeepSeek V4 Pro
Dynamo Moscow win
3–2
58%
Dynamo Moscow have home ice and won the most recent road meeting 4-3, but Vladivostok took the latest matchup 2-1 in Moscow, so a tight one-goal home win fits the split H2H.
06
Qwen 3.8 Max
Dynamo Moscow win
3–2
58%
Dynamo Moscow historically strong at home vs Vladivostok, winning 3 of last 4 home H2H meetings. Home venue advantage and slightly deeper roster favor a narrow win.
07
Mistral Medium 3.5
Vladivostok win
2–3
58%
Vladivostok won last at this venue; slight edge.
08
Kimi K3
Dynamo Moscow win
4–2
60%
Dynamo are the stronger KHL side and won two of the last three home meetings with Vladivostok; H2H games average six goals, so a lively 4-2 home win fits.
09
GLM 5.3
Dynamo Moscow win
3–2
55%
H2H is tight and alternating, but Dynamo Moscow's home venue and Vladivostok's long travel tilt a close matchup; modest home edge with a one-goal margin.
10
MiMo V2.5 Pro
Dynamo Moscow win
3–2
55%
H2H shows Dynamo Moscow usually wins at home, but recent loss to Vladivostok suggests a tight match with home advantage tipping the scales.
— Scoreline frequency

How often each scoreline showed up.

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

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

Match overview

Looking for a today prediction on Dynamo 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 - 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 Dynamo Moscow win, with vote shares roughly 90% / 10% home and away (rounded).

If you are asking who will win Dynamo 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 Dynamo Moscow

90% 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 2.10

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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