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 10, 2026 · 16:00 Finished

Israel
vs
Ukraine.

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 3–4 at 63% 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.

Israel win 0%

0 / 10 models

Ukraine win 100%

10 / 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
3–4
66%
Ukraine won all three listed meetings with Israel, including two 3-0 results. Although those matches are dated and rosters may differ by 2026, the available evidence still favors Ukraine in a likely controlled match.
02
Claude Sonnet 5
Ukraine win
3–4
62%
Ukraine has a stronger volleyball program and swept prior meetings; consistent volleyball pedigree edge outweighs Israel's home advantage.
03
Gemini 3.8 Flash
Ukraine win
1–3
72%
Ukraine holds a substantial quality edge in European competition and historical dominance, though Israel has enough resilience at home to claim a set.
04
Grok 4.6
Ukraine win
1–3
58%
Old H2H sweeps favour Ukraine, still the stronger European side; thin 2026 form data and Israel’s home court point to one set, not an upset.
05
DeepSeek V4 Pro
Ukraine win
1–3
57%
Ukraine have won all three previous H2H meetings 3-0 and look the stronger programme, though Israel's home support may earn a set; low current form data keeps confidence moderate.
06
Qwen 3.8 Max
Ukraine win
0–3
68%
Ukraine dominated all three prior H2H meetings 3-0, reflecting a clear quality gap. No recent form data suggests Israel has closed that gap, so a straight-sets away win remains the most likely outcome.
07
Mistral Medium 3.5
Ukraine win
3–4
65%
Ukraine's historical dominance, but championship context may allow Israel one set.
08
Kimi K3
Ukraine win
1–3
62%
Ukraine won all three recorded H2H meetings 3-0 and remains the stronger volleyball nation; Israel's home edge may steal a set but Ukraine's superior depth should prevail.
09
GLM 5.3
Ukraine win
3–4
58%
Ukraine swept Israel in all three prior meetings and hold a stronger European Championship pedigree; old H2H plus current level favors a straight-sets away win, though data is dated.
10
MiMo V2.5 Pro
Ukraine win
3–4
60%
Ukraine won all three H2H matches 3-0, but with old data from 2017; Israel's home advantage may narrow the margin slightly.
— Scoreline frequency

How often each scoreline showed up.

5 of 10 models settled on 3–4. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 3–4
    5 models
  • 1–3
    4 models
  • 0–3
    1 model

Match overview

Looking for a today prediction on Israel vs Ukraine 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 - 4; 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 0% / 100% home and away (rounded).

If you are asking who will win Israel vs Ukraine, 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 away — 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 1.90 vs 3.50

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

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— Journal

Articles linked to these clubs or AI forecasting.

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