BOR 2-1 WER · 52% LEN 2-1 LYO · 45% MAL 0-2 ESP · 45% SPO 1-1 DCP · 35% LEX 1-1 FCT · 36% RBL 2-1 EIN · 51% 189 2-1 HAM · 48% SCF 2-0 FCS · 54% FCA 1-3 BAY · 56% FSV 1-2 BAY · 47% UNI 2-0 SVE · 51% 1.F 2-2 BOR · 43% SCP 1-2 VFB · 45% LIV 1-1 MAN · 43% BOR 2-1 WER · 52% LEN 2-1 LYO · 45% MAL 0-2 ESP · 45% SPO 1-1 DCP · 35% LEX 1-1 FCT · 36% RBL 2-1 EIN · 51% 189 2-1 HAM · 48% SCF 2-0 FCS · 54% FCA 1-3 BAY · 56% FSV 1-2 BAY · 47% UNI 2-0 SVE · 51% 1.F 2-2 BOR · 43% SCP 1-2 VFB · 45% LIV 1-1 MAN · 43%
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Football results Friday 2 October 2026: AI predictions review

Results

Football results Friday 2 October 2026: AI predictions review

AI models called 5 of 14 football results right on Friday 2 October 2026, as Ukraine's home defeat and a 6-0 Poland rout defied the consensus.

TuringStats Editorial Oct 3, 2026 4 min read

Friday 2 October 2026 produced 14 matches across Argentina, MLS, Spain, Brazil and the UEFA Nations League, and the ten-model consensus landed on just 5 of 14 correct calls. It was a night when the models agreed loudly and often wrongly.

The biggest surprise arrived in the Nations League, where Ukraine — backed by 100% of the panel to beat Northern Ireland with a most common score of 2-0 and an average confidence of 58% — lost 0-3 at home. Only slightly less startling was Poland's 6-0 demolition of Romania, a result the models got right for the winner but wildly wrong on the margin.

Stadium scoreboard glowing at night during a football match

The scoreboard glow after a night when the consensus landed just five of fourteen calls.

Where the AI got it right

Seattle Sounders delivered the panel's most comfortable evening. All ten models backed a home win, the most common score was 2-1, and the match finished exactly that way. Average confidence sat at 57%, and for once the consensus was justified. Seattle Sounders vs Sporting Kansas City prediction

Latvia vs Montenegro was the closest call of the night that still went the models' way. Only 50% of the panel picked Montenegro, the most common score was a 1-1 draw, and average confidence was 52%. Montenegro's 2-1 win made the split decision look sharper than it was. Latvia vs Montenegro prediction

Belgium vs Türkiye was a more emphatic success. Ninety percent of models expected a Belgium win, the most common score was 2-1, and the actual 3-0 was a wider margin than anticipated but the right outcome. Average confidence was 56%. Belgium vs Türkiye prediction

Hungary vs Georgia was the panel's most unified correct call. All ten models backed Hungary, the most common score was 1-0, and the match ended 1-0. Average confidence was 57%. Hungary vs Georgia prediction

Poland vs Romania completed the correct set. Ninety percent of models picked Poland, though the most common score was only 1-0 and average confidence was 54%. The 6-0 final was a rout nobody saw coming in that detail. Poland vs Romania prediction

Where it got it wrong

The misses were frequent and, in several cases, emphatic. Independiente vs Instituto Cordoba was a 100% consensus for an Independiente win with a most common score of 1-0 and 57% average confidence; Instituto won 4-1. Eldense vs Oviedo saw 60% of models back a draw with a 1-1 most common score; Eldense won 4-1. Sao Paulo vs Santos drew 90% support for a Sao Paulo win at 56% confidence; Santos won 2-1.

In the Nations League, Kazakhstan vs Moldova was a 90% call for Kazakhstan with a 1-0 most common score at 55% confidence; Moldova won 2-1. Cyprus vs Armenia drew 70% support for a draw at 51% confidence; Cyprus won 2-0. France vs Italy saw 80% of models back France at 56% confidence; it finished 1-1. Ukraine vs Northern Ireland was the heaviest fall, with 100% on Ukraine at 58% confidence and a 2-0 most common score; Northern Ireland won 3-0.

Bosnia & Herzegovina vs Sweden split the panel evenly, with 50% on Sweden at 52% confidence and a 1-1 most common score; the match ended 1-1, which the scoreline crowd had right but the verdict wrong. Faroe Islands vs Slovakia was a 100% Slovakia call at 61% confidence — the highest average confidence of the day — with a 0-2 most common score; it finished 1-1.

Models of the day

Four models shared top billing with 6 of 14 correct: GPT-5.6 Luna, Claude Sonnet 5, Grok 4.6 and GLM 5.3. Behind them, DeepSeek V4 Pro, Qwen 3.8 Max, Gemini 3.8 Flash and Kimi K3 each managed 5 of 14.

At the bottom, MiMo V2.5 Pro scored 4 of 14 and Mistral Medium 3.5 finished last with 3 of 14. No model reached half marks on a night when the consensus itself managed only 5 of 14.

Full results

  • Liga Profesional Argentina: Independiente 1–4 Instituto Cordoba — consensus Independiente win (100%) WRONG
  • Major League Soccer: Seattle Sounders 2–1 Sporting Kansas City — consensus Seattle Sounders win (100%) RIGHT
  • Segunda División: Eldense 4–1 Oviedo — consensus draw (60%) WRONG
  • Serie A: Sao Paulo 1–2 Santos — consensus Sao Paulo win (90%) WRONG
  • UEFA Nations League: Kazakhstan 1–2 Moldova — consensus Kazakhstan win (90%) WRONG
  • UEFA Nations League: Cyprus 2–0 Armenia — consensus draw (70%) WRONG
  • UEFA Nations League: Latvia 1–2 Montenegro — consensus Montenegro win (50%) RIGHT
  • UEFA Nations League: France 1–1 Italy — consensus France win (80%) WRONG
  • UEFA Nations League: Belgium 3–0 Türkiye — consensus Belgium win (90%) RIGHT
  • UEFA Nations League: Hungary 1–0 Georgia — consensus Hungary win (100%) RIGHT
  • UEFA Nations League: Ukraine 0–3 Northern Ireland — consensus Ukraine win (100%) WRONG
  • UEFA Nations League: Poland 6–0 Romania — consensus Poland win (90%) RIGHT
  • UEFA Nations League: Bosnia & Herzegovina 1–1 Sweden — consensus Sweden win (50%) WRONG
  • UEFA Nations League: Faroe Islands 1–1 Slovakia — consensus Slovakia win (100%) WRONG

Saturday's fixtures are already loaded, and after a 5-of-14 Friday the models will be looking for a sharper set of calls. The full slate of today's predictions is live on TuringStats.

Next up: today's football predictions from the same panel, and the results archive with every graded call. Forecasts are informational only.

— Journal

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