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 · 17:00 Not Started

Serbia
vs
Estonia.

10 AI models read this match. The plurality on the winner leans toward Serbia (10 of 10 models). The mean predicted score (rounded from all models) is 3–0 at 72% 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.

Serbia win 100%

10 / 10 models

Estonia 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
Serbia win
3–0
72%
Serbia’s stronger historical level, home venue, and a 3-0 win over Estonia in the latest meeting support a controlled sweep, although current 2026 rosters and form are unavailable.
02
Claude Sonnet 5
Serbia win
3–0
72%
Serbia has stronger overall roster depth and dominated recent H2H meetings; Estonia lacks the firepower to consistently take sets from a top European side.
03
Gemini 3.8 Flash
Serbia win
3–0
78%
Serbia holds a substantial talent and physical advantage at the net over Estonia, mirroring their dominant sweep in the 2023 EuroVolley encounter.
04
Grok 4.6
Serbia win
3–0
68%
Serbia swept Estonia 3-0 in 2023 Euros and own the H2H; as a European elite side at home they should again win in three sets.
05
DeepSeek V4 Pro
Serbia win
3–0
62%
Serbia’s recent H2H dominance and home court at the European Championships point to control; Estonia has rarely taken sets in this matchup, making 3-0 the most likely line.
06
Qwen 3.8 Max
Serbia win
3–0
78%
Serbia dominated all three H2H meetings convincingly, including a 3-0 in 2023. Significant quality gap between the sides supports a straight-sets home victory.
07
Mistral Medium 3.5
Serbia win
3–0
75%
Serbia's recent 3-0 sweep and historical dominance over Estonia.
08
Kimi K3
Serbia win
3–0
72%
Serbia are a European powerhouse and won all three H2H meetings, including 3-0 in 2023; Estonia lack the depth to trouble them, so a straight-sets home win is the likeliest outcome.
09
GLM 5.3
Serbia win
3–0
72%
Serbia have won all three H2H meetings without dropping a set, including a 3-0 in 2023; their deeper European Championship squad should control Estonia at home.
10
MiMo V2.5 Pro
Serbia win
3–1
75%
Serbia's dominant H2H record and home venue favor a win, with Estonia likely taking one set due to competitive championship context.
— Scoreline frequency

How often each scoreline showed up.

9 of 10 models settled on 3–0. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 3–0
    9 models
  • 3–1
    1 model

Match overview

Looking for a today prediction on Serbia vs Estonia 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 - 0; 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 Serbia win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Serbia vs Estonia, 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 Serbia

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

02
Medium confidence

Mean 72% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected sets tilt 3.00 vs 0.10

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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— Journal

Articles linked to these clubs or AI forecasting.

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