LLA 0-1 JUN · 50% CFP 1-1 TIG · 45% EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% LLA 0-1 JUN · 50% CFP 1-1 TIG · 45% EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63%
KHL Finished

Magnitogorsk
vs
Barys Astana.

Quick answer

Who will win Magnitogorsk vs Barys Astana?

Final score: Magnitogorsk 3–0 Barys Astana. Before kickoff, 10 of 10 AI models pick Magnitogorsk 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 61% of the time (361 games).

10 AI models read this game. The plurality on the winner leans toward Magnitogorsk (10 of 10 models). The mean predicted score (rounded from all models) is 4–2 at 66% mean confidence (High 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.

Magnitogorsk win 100%

10 / 10 models

Barys Astana 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-6 Luna
Magnitogorsk win
3–1
72%
Magnitogorsk has won the last five listed meetings, including three by multiple goals, and has home ice here. That sustained matchup advantage supports a controlled home victory over Barys Astana.
02
Claude Sonnet 5.5
Magnitogorsk win
4–2
68%
Magnitogorsk have won four of the last five meetings, including at home, and have shown stronger offensive form against Barys Astana historically.
03
Gemini 3.8 Flash
Magnitogorsk win
4–2
72%
Magnitogorsk holds a decisive class and head-to-head advantage over Barys Astana, consistently controlling pace and finishing chances effectively on home ice.
04
Grok 4.7
Magnitogorsk win
4–2
68%
Magnitogorsk swept the last five H2H meetings, including home wins of 5-2, 5-1 and 2-1. Venue plus that gap supports a two-goal home win, not a blowout copy of past scores.
05
DeepSeek V4 Pro
Magnitogorsk win
3–1
72%
Magnitogorsk have won all five recent H2H meetings, often by multiple goals, and hold home ice. Barys Astana's attack has struggled to score more than twice in that span.
06
Qwen 3.8 Max
Magnitogorsk win
4–1
72%
Magnitogorsk dominated all five recent H2H meetings, including a 5-1 home win on this exact date last season. Barys Astana consistently struggles against them, especially on the road.
07
Mistral Medium 3.5
Magnitogorsk win
4–2
68%
Magnitogorsk dominates H2H recently and plays at home; Barys Astana struggles to contain their attack.
08
Kimi K3
Magnitogorsk win
4–2
68%
Magnitogorsk has won all five recent H2H meetings, including 5-2 and 5-1 home routs; Barys struggles to score against them, so a comfortable home win with moderate scoring fits.
09
GLM 5.3
Magnitogorsk win
4–2
68%
Magnitogorsk won all five recent H2H meetings, scoring 3-5 goals each time at home and away; home venue plus that consistent edge supports a two-goal margin.
10
MiMo V2.6 Pro
Magnitogorsk win
4–2
68%
Magnitogorsk dominates recent H2H, winning last five meetings with high-scoring home wins; Barys Astana's away form historically weak against them.
— Scoreline frequency

How often each scoreline showed up.

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

  • 4–2
    7 models
  • 3–1
    2 models
  • 4–1
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Magnitogorsk

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

02
High confidence

Mean 66% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.80 vs 1.70

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 Magnitogorsk vs Barys Astana 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 Magnitogorsk win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Magnitogorsk vs Barys Astana, 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.

Related matches

— 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.