UEFA Nations League Predictions This Week: Ten Matches, Two Unanimous Calls

The UEFA Nations League returns for a compact two-day window on 12 and 13 November 2026, with ten matches on the schedule and the same panel of ten frontier AI models predicting every one of them. The consensus is published in full: each match carries a split across the panel, an average confidence figure and a most common predicted score, giving a clear read on where the models converge and where they scatter.

This week's strongest call is Spain's trip to Czechia, where all ten models back an away win at an average confidence of 61% and a 0–2 scoreline is the most common forecast. The most divided fixture is Armenia vs Cyprus, where the panel splits 80–20 in favour of the visitors but average confidence drops to 44%, the lowest of the window alongside Italy vs France and Albania vs Finland.

Most-picked score from 10 AI models for every UEFA Nations League match this week.

UEFA Nations League predictions, match by match

Türkiye vs Belgium prediction

Unanimous. All ten models side with Belgium, at an average confidence of 57%, and the most common predicted score is 0–2. GPT-6 Luna goes 0–1 at 66% confidence, noting that Türkiye have lost all four Nations League matches, scoring twice and conceding 11, and that Belgium's 3–0 win in October reinforces the matchup edge without guaranteeing another shutout. Meta Muse Spark 1.3 and DeepSeek V4 Pro both settle on 0–2, pointing to Türkiye's 2–11 goal record and Belgium's two clean sheets.

Read the full AI breakdown.

Armenia vs Cyprus prediction

The panel leans Cyprus: 80% for the away win, 20% for a draw, no model backing Armenia. Average confidence is 44%, the weakest of the window, and 0–1 is the most common score. Grok 4.7 lands on 0–1 at 54%, citing Cyprus's LDWW form and 5–3 goal record plus a 2–0 win in the reverse fixture, while arguing a narrow away win fits better than a repeat of that scoreline. DeepSeek V4 Pro and Meta Muse Spark 1.3 agree on 0–1, both noting Armenia have failed to score twice this campaign.

Read the full AI breakdown.

Italy vs France prediction

A 60–40 split in France's favour, with 40% of the panel seeing a draw and average confidence at 44%. The most common predicted score is 1–2. Kimi K3 goes 1–2 at 55%, highlighting France's unbeaten 3W 1D record with a 7–2 goal line, Olise's form and a stronger defense, plus Italy's lack of clean sheets and a 1–3 home defeat to France in 2024. Grok 4.7 and Meta Muse Spark 1.3 also take France 1–2, both expecting a tighter contest than October's 1–1.

Read the full AI breakdown.

Czechia vs Spain prediction

Unanimous for Spain at an average confidence of 61%, with 0–2 the most common predicted score. GPT-6 Luna is the most emphatic at 73%, contrasting Spain's four wins from four and 12 goals with Czechia's four defeats and two goals, and noting Spain's 3–1 win in the October meeting. Gemini 3.8 Flash goes 0–2 at 72% and GLM 5.3 at 70%, both framing a controlled away win with Czechia struggling to score as the likeliest outcome.

Read the full AI breakdown.

England vs Croatia prediction

Another unanimous call, this time for England, at 61% average confidence and with 3–0 as the most common predicted score. Kimi K3 and Gemini 3.8 Flash both go 3–0 at 72%, pointing to England's 14–3 goal record, three clean sheets and a 7–0 win in Croatia last month, set against a Croatia defense that has conceded 14 without a clean sheet. GPT-6 Luna is slightly more conservative at 2–0 and 70%, noting England's home advantage supports a controlled win.

Read the full AI breakdown.

Albania vs Finland prediction

Albania take 70% of the panel, with the remaining 30% on a draw and no model backing Finland. Average confidence is 45% and 1–0 is the most common predicted score. Meta Muse Spark 1.3 and Kimi K3 both land on 1–0 at 52%, citing Albania's record of scoring in all four matches, two home clean sheets and the motivation of reversing October's 2–1 defeat in Finland. GLM 5.3 prefers 2–1 at 52%, expecting Finland's Walta and Pohjanpalo to keep it close.

Read the full AI breakdown.

San Marino vs Belarus prediction

Unanimous for Belarus at 63% average confidence, the second-highest of the window, with 0–2 the most common predicted score. GPT-6 Luna is the outlier on confidence at 78%, noting San Marino have lost all four matches, conceding 16 and scoring once, while Belarus have three clean sheets and won the recent meeting 4–0. Gemini 3.8 Flash goes 0–2 at 76% and DeepSeek V4 Pro at 72%, both leaning on San Marino's 1–16 goal line and Belarus's clean-sheet record.

Read the full AI breakdown.

Montenegro vs Latvia prediction

All ten models back Montenegro at 60% average confidence, and 2–0 is the most common predicted score. Qwen 3.8 Max and GPT-6 Luna both go 1–0 at 65%, citing Montenegro's unbeaten 3W 1D record, a 2–1 away win over Latvia last month and a Latvia side that has scored only twice in four league matches. Grok 4.7 takes 2–0 at 64%, backing a narrow home shutout over a repeat of the 2–1.

Read the full AI breakdown.

Moldova vs Kazakhstan prediction

Moldova lead with 70% of the panel, 30% see a draw and no model backs Kazakhstan. Average confidence is 46% and 1–0 is the most common predicted score. Kimi K3 goes 1–0 at 52%, noting Moldova won the last two head-to-heads including 2–1 away in October and that neither side keeps clean sheets. Gemini 3.8 Flash is the dissenting draw, forecasting 1–1 at 48%, while MiMo V2.6 Pro opts for 2–1 at 48%.

Read the full AI breakdown.

Serbia vs Germany prediction

Unanimous for Germany at 56% average confidence, with 0–2 the most common predicted score. Gemini 3.8 Flash goes 0–2 at 64%, citing Serbia's four defeats and zero clean sheets against Germany's superior defensive structure and 2–0 win in the reverse fixture. GPT-6 Luna and Meta Muse Spark 1.3 both take 0–1, at 61% and 60% respectively, pointing to Germany conceding just twice in four matches while acknowledging the sample is limited.

Read the full AI breakdown.

Where the AI panel disagrees

Three matches sit at the bottom of the confidence table, and each splits for a different reason.

Armenia vs Cyprus is the weakest consensus of the window at 44% average confidence. The 80–20 split for Cyprus looks decisive, but the models are working with a narrow margin between two closely matched sides: Cyprus's edge rests on form and a 2–0 win in the reverse fixture, while Armenia's home record is porous rather than catastrophic. That combination produces agreement on the winner but little agreement on the scoreline, and 0–1 reflects a panel hedging rather than convinced.

Italy vs France also sits at 44%, but the split is structural. Four models see a draw, six see a France win, and nobody backs Italy at home. France's unbeaten record and tighter defense carry the majority, yet Italy's habit of scoring at home and the memory of October's 1–1 keep a meaningful share of the panel on the fence.

Albania vs Finland at 45% shows a similar pattern: 70% of models back Albania and 30% a draw, but the scores diverge between 1–0 and 2–1. Albania's scoring run and home clean sheets drive the majority view, while Finland's recent head-to-head win and attacking threat leave room for doubt about how comfortable the home win will be.

Quick picks

• Türkiye vs Belgium: Belgium win (100% of models), predicted 0–2
• Armenia vs Cyprus: Cyprus win (80% of models), predicted 0–1
• Italy vs France: France win (60% of models), predicted 1–2
• Czechia vs Spain: Spain win (100% of models), predicted 0–2
• England vs Croatia: England win (100% of models), predicted 3–0
• Albania vs Finland: Albania win (70% of models), predicted 1–0
• San Marino vs Belarus: Belarus win (100% of models), predicted 0–2
• Montenegro vs Latvia: Montenegro win (100% of models), predicted 2–0
• Moldova vs Kazakhstan: Moldova win (70% of models), predicted 1–0
• Serbia vs Germany: Germany win (100% of models), predicted 0–2

Every model's pick, confidence and reasoning for each of these matches is on its match page, and the UEFA Nations League predictions hub updates as new fixtures come in. Forecasts are informational only.