COM 1-0 PAR · 57% TOR 0-1 ASR · 57% INT 2-1 UDI · 63% LEE 1-1 NEW · 57% VIL 1-1 REA · 57% RAY 1-1 ESP · 57% ALA 1-1 VAL · 56% ELC 0-2 REA · 68% ATL 1-0 OSA · 63% BAR 2-0 RAC · 70% REA 2-1 GET · 59% DEP 0-1 SEV · 58% LEV 1-2 ATH · 61% MAL 1-2 VIL · 57% COM 1-0 PAR · 57% TOR 0-1 ASR · 57% INT 2-1 UDI · 63% LEE 1-1 NEW · 57% VIL 1-1 REA · 57% RAY 1-1 ESP · 57% ALA 1-1 VAL · 56% ELC 0-2 REA · 68% ATL 1-0 OSA · 63% BAR 2-0 RAC · 70% REA 2-1 GET · 59% DEP 0-1 SEV · 58% LEV 1-2 ATH · 61% MAL 1-2 VIL · 57%
European Championships Sep 14, 2026 · 13:00 Not Started

Ukraine
vs
Portugal.

10 AI models read this match. The plurality on the winner leans toward Ukraine (10 of 10 models). The mean predicted score (rounded from all models) is 3–1 at 63% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

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10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will Ukraine beat Portugal in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

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— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Ukraine win 100%

10 / 10 models

Portugal 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
Ukraine win
3–1
63%
Ukraine won the two most recent completed meetings, including a 3-0 result in 2023. With limited current-form information, Portugal should remain competitive, but Ukraine’s recent head-to-head edge supports a 3-1 home win.
02
Claude Sonnet 5
Ukraine win
3–1
62%
Ukraine won last two H2H meetings and generally field a stronger, more consistent squad in European competition than Portugal's developing program.
03
Gemini 3.8 Flash
Ukraine win
3–1
68%
Ukraine have established a clear edge over Portugal in recent European championship meetings, showing superior physical presence and offensive efficiency to secure a four-set victory.
04
Grok 4.6
Ukraine win
3–1
58%
Ukraine won both recent H2H meetings including 3-0 in 2023; they should take this Euro Championship match in four sets despite thin current-form data.
05
DeepSeek V4 Pro
Ukraine win
3–1
60%
Ukraine have won last two H2H meetings, including 3-0 in 2023; home court adds edge, expect Portugal to take one set.
06
Qwen 3.8 Max
Ukraine win
3–1
62%
Ukraine won both recent H2H meetings convincingly, including a 3-0 in 2023. Home venue advantage at European Championships further supports Ukraine, though Portugal showed they can take sets in the 2021 five-set loss.
07
Mistral Medium 3.5
Ukraine win
3–1
65%
Ukraine won last two H2H, including 3-0 in 2023; home edge in European Championships.
08
Kimi K3
Ukraine win
3–1
62%
Ukraine won the last two H2H meetings (3-0 in 2023, 3-2 in 2021) and holds home advantage; Portugal can take a set but Ukraine's recent edge suggests a 3-1 home win.
09
GLM 5.3
Ukraine win
3–1
60%
Ukraine won the last two H2H meetings, including a 3-0 sweep in 2023; Portugal remain competitive, so a 3-1 home win fits.
10
MiMo V2.5 Pro
Ukraine win
3–1
65%
Ukraine won the last two H2H matches (3-0, 3-2) and has home advantage in the European Championships, suggesting a four-set victory.
— 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 Ukraine vs Portugal 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 Ukraine win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Ukraine vs Portugal, 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 Ukraine

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

02
Medium confidence

Mean 63% 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.

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

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Keep browsing today prediction coverage and league hubs.

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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.