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 7, 2026 · 14:00 After Over Time

Yekaterinburg
vs
Tractor Chelyabinsk.

10 AI models read this game. The plurality on the winner leans toward Yekaterinburg (8 of 10 models). The mean predicted score (rounded from all models) is 3–2 at 55% mean confidence (Low 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.

Yekaterinburg win 80%

8 / 10 models

Tractor Chelyabinsk win 20%

2 / 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
Yekaterinburg win
3–2
54%
With no current form or head-to-head data available, Yekaterinburg's home advantage is the clearest signal. The matchup projects as a close, relatively controlled KHL game with a narrow home win.
02
Claude Sonnet 5
Yekaterinburg win
3–2
54%
No reliable H2H data; slight home-ice edge for Yekaterinburg in a typically tight KHL early-season matchup with moderate scoring.
03
Gemini 3.8 Flash
Tractor Chelyabinsk win
2–3
56%
This Ural derby is typically tight and defensive. Traktor's structured transition play gives them a slight edge to edge Yekaterinburg in a close, low-scoring battle.
04
Grok 4.6
Yekaterinburg win
3–2
55%
No recorded H2H or 2026 form; early-season KHL home ice in Yekaterinburg edges Tractor in a typical moderate-scoring 3-2 game.
05
DeepSeek V4 Pro
Yekaterinburg win
3–2
55%
Home venue gives Yekaterinburg a slight edge in a competitive KHL matchup, with both teams likely to create steady scoring chances.
06
Qwen 3.8 Max
Yekaterinburg win
3–2
55%
Limited context available; Yekaterinburg's home advantage in KHL typically provides edge in tight matchups against divisional rivals like Tractor Chelyabinsk.
07
Mistral Medium 3.5
Yekaterinburg win
2–1
55%
Home advantage in KHL; both teams evenly matched with no recent form data.
08
Kimi K3
Tractor Chelyabinsk win
2–3
55%
No H2H data available; Traktor typically the deeper KHL roster, but Avtomobilist's home ice keeps it tight. Expect a low-scoring, one-goal game.
09
GLM 5.3
Yekaterinburg win
3–2
52%
No H2H or form data available; early-season KHL game with thin context. Slight home-ice edge for Yekaterinburg in a moderate-paced matchup.
10
MiMo V2.5 Pro
Yekaterinburg win
3–2
55%
Home venue advantage for Yekaterinburg in KHL; no H2H data limits analysis, but a competitive game is likely.
— Scoreline frequency

How often each scoreline showed up.

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

  • 3–2
    7 models
  • 2–3
    2 models
  • 2–1
    1 model

Match overview

Looking for a today prediction on Yekaterinburg vs Tractor Chelyabinsk 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 Yekaterinburg win, with vote shares roughly 80% / 20% home and away (rounded).

If you are asking who will win Yekaterinburg vs Tractor Chelyabinsk, 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 Yekaterinburg

80% of models lean home — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 55% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.70 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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