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 · 13:00 Not Started

Ukraine
vs
North Macedonia.

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 65% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

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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

North Macedonia 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
66%
Ukraine won all three listed meetings, including two 3-1 results, suggesting a sustained matchup edge. With no current-form or roster data and only nominal home advantage, North Macedonia should still take a set.
02
Claude Sonnet 5
Ukraine win
3–1
68%
Ukraine has consistently stronger volleyball pedigree and won all recent H2H meetings; expect a competitive but clear win for the home side.
03
Gemini 3.8 Flash
Ukraine win
3–0
74%
Ukraine has established themselves at a significantly higher international tier in recent European tournaments, possessing far superior blocking and serving depth compared to North Macedonia.
04
Grok 4.6
Ukraine win
3–1
62%
Ukraine won all three listed H2H, twice 3-1. Stronger European side at home should again take four sets versus North Macedonia.
05
DeepSeek V4 Pro
Ukraine win
3–1
65%
Ukraine have won all three prior H2H meetings and hold home advantage; North Macedonia are competitive enough to take one set.
06
Qwen 3.8 Max
Ukraine win
3–1
62%
Ukraine won all three H2H meetings convincingly and holds a clear quality edge over North Macedonia in European competition; expect a comfortable but not dominant home win.
07
Mistral Medium 3.5
Ukraine win
3–1
62%
Ukraine 2-1 in last 3 H2H; home edge; matches typically go to 4 sets.
08
Kimi K3
Ukraine win
3–1
62%
Ukraine won all three prior meetings, twice 3-1, and remain the stronger European side; North Macedonia can still take a set, so a 3-1 home win fits.
09
GLM 5.3
Ukraine win
3–1
62%
Ukraine won all three recent H2H meetings, including two 3-1 results; rosters have changed but the overall gap still favors them at a neutral European Championship venue.
10
MiMo V2.5 Pro
Ukraine win
3–1
65%
Ukraine won all H2H meetings, with 3-1 twice; home venue in European Championships supports a similar outcome, though rosters have changed.
— Scoreline frequency

How often each scoreline showed up.

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

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

Match overview

Looking for a today prediction on Ukraine vs North Macedonia 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 North Macedonia, 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 65% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected sets tilt 3.00 vs 0.90

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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