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 Monday 28 September 2026: AI predictions review

Results

Football results Monday 28 September 2026: AI predictions review

AI models called 6 of 11 football results on Monday 28 September 2026. Review the hits, misses, and top models in our round-up.

TuringStats Editorial Sep 29, 2026 4 min read

Monday 28 September 2026 delivered a mixed bag for the AI prediction models, with the consensus correctly calling 6 of 11 matches across Liga MX, Segunda División and the UEFA Nations League. The headline record of 6 of 11 reflects a day of contrasting fortunes: the models nailed both Liga MX fixtures with 100% agreement, but stumbled in several Nations League ties where draws were widely expected but failed to materialise.

The biggest surprise came in the Segunda División, where 90% of models backed Leganes to beat Castellón. Instead, Castellón ran out 2-0 winners, handing the consensus one of its most confident misses of the day.

Stadium scoreboard glowing at night after a football match

Monday's results saw the AI consensus land 6 of 11 calls.

Where the AI got it right

The Liga MX matches were the models' strongest showings. All 10 models predicted a Leon win, and Leon delivered with a 2-1 victory over FC Juarez. The consensus average confidence was 55%, and the most common scoreline of 1-0 was close but not exact. Leon vs FC Juarez prediction.

In the other Liga MX clash, Club America was unanimously backed to beat Necaxa. The match ended 2-4 to Club America, matching the models' most common scoreline of 1-2 in terms of winner and goal difference. Average confidence was 58%. Necaxa vs Club America prediction.

Georgia vs Ukraine in the Nations League was tipped as a draw by 90% of models, and it finished 0-0. The most common score prediction was 1-1, but the goalless stalemate still delivered the correct outcome. Average confidence was 53%. Georgia vs Ukraine prediction.

Latvia vs Cyprus also ended 0-0, matching the 80% of models who expected a draw. The most common score was 1-1, and confidence averaged 52%. Latvia vs Cyprus prediction.

Belgium vs France saw 70% of models back a France win, and France edged it 0-1. The most common scoreline was 1-2, but the correct winner was enough. Average confidence was 54%. Belgium vs France prediction.

Sweden vs Poland was a tighter call, with only 50% of models favouring Sweden. The most common score was 1-1, but Sweden won 3-1 to reward the plurality. Average confidence was 52%. Sweden vs Poland prediction.

Where it got it wrong

Leganes vs Castellón was the most surprising miss. 90% of models predicted a Leganes win, with a most common score of 1-0 and average confidence of 54%. Instead, Castellón won 0-2. Leganes vs Castellón prediction.

Armenia vs Montenegro was another draw that never came. 90% of models expected a draw, most commonly 1-1, with 50% average confidence. Montenegro won 2-3. Armenia vs Montenegro prediction.

Türkiye vs Italy was a split decision, with 60% of models backing a draw and a most common score of 1-1. Italy ran out 1-4 winners, leaving the consensus well short. Average confidence was 54%. Türkiye vs Italy prediction.

Northern Ireland vs Hungary saw 70% of models predict a Hungary win, with a most common score of 0-1 and 55% average confidence. The match ended 0-0, a goalless draw that none of the models had as their top pick. Northern Ireland vs Hungary prediction.

Romania vs Bosnia & Herzegovina was the day's biggest upset. 90% of models backed Romania to win, most commonly 1-0, with 55% average confidence. Bosnia & Herzegovina won 2-4. Romania vs Bosnia & Herzegovina prediction.

Models of the day

Four models shared the best record: DeepSeek V4 Pro, Qwen 3.8 Max, MiMo V2.5 Pro and GLM 5.3 each called 7 of 11 correctly. At the other end, Claude Sonnet 5, Mistral Medium 3.5 and Grok 4.6 managed only 4 of 11. GPT-5.6 Luna and Kimi K3 were mid-table with 6 of 11, while Gemini 3.8 Flash got 5 of 11.

Full results

  • Liga MX: Leon 2–1 FC Juarez — consensus Leon win (100%) RIGHT
  • Liga MX: Necaxa 2–4 Club America — consensus Club America win (100%) RIGHT
  • Segunda División: Leganes 0–2 Castellón — consensus Leganes win (90%) WRONG
  • UEFA Nations League: Georgia 0–0 Ukraine — consensus draw (90%) RIGHT
  • UEFA Nations League: Armenia 2–3 Montenegro — consensus draw (90%) WRONG
  • UEFA Nations League: Latvia 0–0 Cyprus — consensus draw (80%) RIGHT
  • UEFA Nations League: Belgium 0–1 France — consensus France win (70%) RIGHT
  • UEFA Nations League: Türkiye 1–4 Italy — consensus draw (60%) WRONG
  • UEFA Nations League: Northern Ireland 0–0 Hungary — consensus Hungary win (70%) WRONG
  • UEFA Nations League: Sweden 3–1 Poland — consensus Sweden win (50%) RIGHT
  • UEFA Nations League: Romania 2–4 Bosnia & Herzegovina — consensus Romania win (90%) WRONG

For today's AI-powered predictions, visit the TuringStats predictions page.

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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