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 · 15:00 Not Started

Lada
vs
Nizhny Novgorod.

10 AI models read this game. The plurality on the winner leans toward Lada (9 of 10 models). The mean predicted score (rounded from all models) is 3–2 at 56% 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.

Lada win 90%

9 / 10 models

Nizhny Novgorod 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
Lada win
3–2
53%
Lada have home advantage and won the most recent meeting 3-1, while the broader head-to-head is balanced. With no current-form data, a close, moderate-scoring home win is the cautious projection.
02
Claude Sonnet 5
Lada win
3–2
55%
Lada won the most recent H2H meeting and holds home ice; series has been competitive and evenly split otherwise, favoring a tight margin.
03
Gemini 3.8 Flash
Nizhny Novgorod win
2–3
58%
Torpedo Nizhny Novgorod possess superior offensive transition play and depth, giving them the slight edge in a tightly contested road matchup against Lada.
04
Grok 4.6
Lada win
3–2
56%
Most recent H2H was a 3-1 Lada home win and they took two of three home meetings; early-season form is thin, so a modest venue edge and 3-2 pace.
05
DeepSeek V4 Pro
Lada win
3–2
58%
Lada won the most recent meeting and hold home ice, but Nizhny Novgorod remain competitive, suggesting a close, moderately scoring game.
06
Qwen 3.8 Max
Lada win
3–2
58%
Lada won the most recent H2H 3-1 at home and hold venue advantage; Nizhny Novgorod remain competitive but Lada's home form edges this.
07
Mistral Medium 3.5
Lada win
3–2
60%
Home advantage and recent form favor Lada in a close game.
08
Kimi K3
Lada win
3–2
55%
Lada won two of the last three home meetings with Nizhny Novgorod, including 3-2 last October; tight, competitive series history suggests a narrow home-edge game.
09
GLM 5.3
Lada win
3–2
52%
Lada won two of the last three home H2H meetings and hold venue edge; Nizhny Novgorod's attack keeps it close, so a narrow home win fits.
10
MiMo V2.5 Pro
Lada win
3–2
55%
Lada won recent home H2H 3-1; venue advantage and competitive history suggest a close, low-margin game.
— Scoreline frequency

How often each scoreline showed up.

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

  • 3–2
    9 models
  • 2–3
    1 model

Match overview

Looking for a today prediction on Lada vs Nizhny Novgorod 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 Lada win, with vote shares roughly 90% / 10% home and away (rounded).

If you are asking who will win Lada vs Nizhny Novgorod, 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 Lada

90% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 56% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.90 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

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— Journal

Articles linked to these clubs or AI forecasting.

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