AI predictions for today's matches, free and updated dailySee picks
Serie A AI statistical preview
InterWWWLW
17:00
Sun 8 Nov 2026
ComoWWWWW

Previa del partido

Serie A: Inter (#2) recibe a Como (#4). Forma reciente — Inter: 4G 0E 1P; Como: 5G 0E 0P. El modelo ve un partido igualado, sin un favorito claro.

Modelo PickLab: victoria de Inter 38%, empate 30%, victoria de Como 32%. Goles esperados: Inter 1.58 – 1.68 Como (total 3.3). Marcador más probable: 1–1 (13%). Ambos marcan: 65%. Más de 2,5 goles: 60%.

Generado automáticamente con el modelo estadístico de PickLab y los resultados recientes. No es un consejo de apuestas.

Match outcome

1X2 · Poisson + Dixon–Coles
38%Inter winHighest estimate
=30%Draw
32%Como win

Estimated probabilities, not betting odds. Rounded to total 100%.

Goals & scorelines

Expected goals and market probabilities
Inter1.58xG1.68Como
Most likely scores1–113.1%2–18.2%2–27.7%
83%Over 1.5
60%Over 2.5
40%Over 3.5
65%Both score

Test your own markets

Tick Over 2.5, Both teams to score, a correct score or any combination and see the probability from the v2 model.

Open in Predictor

Form & trends

Last completed matches

How this prediction is built

  1. League baseline. Expected goals start from this competition’s real scoring averages at home (1.62) and away (1.56) per match.
  2. Attack and defence ratings. Each team is rated against that baseline from the season table and its last 20 matches, with older matches fading (half-life ~90 days).
  3. Opponent adjustment. Goals against weak defences count less, goals against strong ones count more.
  4. Regression to the mean. Small samples are pulled toward the league average so one big result does not distort the estimate.
  5. Poisson + Dixon–Coles. Expected goals generate a probability for every scoreline; a low-score correction fixes the known underestimation of draws and 1-0 / 0-1 / 1-1.
  6. Markets. 1X2, totals and both-teams-to-score are read from that scoreline grid.
1.40 / 0.76Inter attack / defence
1.46 / 0.69Como attack / defence

Ratings are relative to the league average (1.00). Attack above 1 scores more than average; defence above 1 concedes more.

A statistical model, not a trained AI. It does not know about injuries, lineups, motivation or odds. Use it as one more data point.

Match center, lineups & H2H