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%
European Championships Sep 11, 2026 · 14:00 Not Started

Czech Republic
vs
Greece.

10 AI models read this match. The plurality on the winner leans toward Czech Republic (10 of 10 models). The mean predicted score (rounded from all models) is 3–1 at 60% 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.

Czech Republic win 100%

10 / 10 models

Greece 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
Czech Republic win
3–1
68%
Czech Republic has the stronger established European-level profile and gains the nominal home advantage. With no usable recent form or H2H scores provided, Greece should remain competitive enough to take one set, but Czech depth favors a 3-1 result.
02
Claude Sonnet 5
Czech Republic win
3–1
56%
Czech Republic have a modest edge in European volleyball rankings and likely home-crowd advantage; Greece competitive but less consistent internationally.
03
Gemini 3.8 Flash
Czech Republic win
3–1
64%
Czech Republic possesses greater depth and physical blocking power against Greece, likely dropping a competitive set but controlling the overall match tempo.
04
Grok 4.6
Czech Republic win
3–1
56%
Thin payload and no H2H scores. Czech Republic typically ranks a notch above Greece in Europe and is listed home, so a controlled 3-1 is likelier than a sweep.
05
DeepSeek V4 Pro
Czech Republic win
3–1
58%
Czech Republic's home venue and stronger recent European Championship experience should edge a competitive Greece side, likely dropping one set.
06
Qwen 3.8 Max
Czech Republic win
3–1
58%
Czech Republic typically stronger in European Championships pool play; home continental advantage and deeper squad edge over Greece supports a controlled four-set win.
07
Mistral Medium 3.5
Czech Republic win
3–1
65%
Czech Republic historically stronger; home advantage in European Championships.
08
Kimi K3
Czech Republic win
3–1
62%
Czech Republic are the stronger European side with home-court edge and deeper roster; Greece can compete in stretches but lack consistency, so a four-set home win fits.
09
GLM 5.3
Czech Republic win
3–1
55%
Czech Republic's deeper European Championship experience and home-crowd support edge a competitive Greece side; Greece's strong serving should steal at least one set.
10
MiMo V2.5 Pro
Czech Republic win
3–1
55%
Limited context; home advantage in European Championships suggests Czech Republic edge, but expect a competitive match with Greece pushing sets.
— Scoreline frequency

How often each scoreline showed up.

10 of 10 models settled on 3–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 3–1
    10 models

Match overview

Looking for a today prediction on Czech Republic vs Greece in European Championships? 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 Czech Republic win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Czech Republic vs Greece, 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 Czech Republic

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

02
Medium confidence

Mean 60% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected sets tilt 3.00 vs 1.00

Derived from predicted scorelines (model means), not live match 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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