Serie A

Dixon-Coles bivariate Poisson forecasts. Probabilities only — this model is beaten by bookmaker closing odds and picks the correct result about 54% of the time. Not betting advice.

Price a fixture

Optional market odds (decimal):

Next fixtures

Kick-offHomeAway HDA xGScore
Mon 07 Sep 16:30 Cagliari Lecce 46% 28% 26% 1.3–0.9 1-0
Mon 07 Sep 18:45 Udinese Lazio 36% 28% 36% 1.1–1.1 1-1
Fri 11 Sep 18:45 Venezia Fiorentina 35% 27% 38% 1.2–1.2 1-1
Sat 12 Sep 13:00 Genoa Frosinone 38% 28% 34% 1.2–1.1 1-1
Sat 12 Sep 16:00 Lazio Milan 38% 28% 35% 1.2–1.1 1-1
Sat 12 Sep 18:45 Atalanta Cagliari 56% 24% 20% 1.6–0.9 1-0
Sun 13 Sep 13:00 Lecce Monza 41% 28% 32% 1.2–1.0 1-0
Sun 13 Sep 16:00 Napoli Bologna 51% 26% 23% 1.5–0.9 1-0
Sun 13 Sep 18:45 Sassuolo Juventus 26% 25% 49% 1.1–1.6 1-1
Mon 14 Sep 16:30 Como Parma 62% 23% 15% 1.7–0.7 1-0
Mon 14 Sep 16:30 Torino Roma 22% 23% 56% 1.0–1.8 0-1
Mon 14 Sep 18:45 Inter Udinese 66% 19% 15% 2.2–0.9 2-0
Genoa v Frosinone: Frosinone has thin history (5.5 effective matches) — strength is shrunk toward baseline and this price is low-confidence
Fitted team strengths
TeamAttackDefenceNet
Inter 1.935 0.809 2.392
Roma 1.560 0.744 2.097
Como 1.438 0.777 1.851
Juventus 1.336 0.758 1.763
Napoli 1.328 0.808 1.643
Atalanta 1.308 0.814 1.608
Milan 1.271 0.875 1.453
Lazio 1.044 0.897 1.164
Bologna 1.103 1.009 1.093
Udinese 1.084 1.066 1.017
Sassuolo 1.100 1.148 0.958
Frosinone 1.004 1.058 0.949
Fiorentina 1.019 1.132 0.900
Genoa 0.901 1.066 0.845
Cagliari 0.931 1.108 0.840
Torino 1.018 1.262 0.807
Parma 0.730 1.041 0.702
Venezia 0.805 1.236 0.651
Lecce 0.733 1.129 0.649
Monza 0.907 1.454 0.624

Attack above 1 scores more than the division average; defence below 1 concedes less.

3840 matches, 2021-08-20 to 2026-08-31 · 57 teams · home advantage 1.158 · decay half-life 198.0 days · xG model on (100% coverage)
Promoted this season: Frosinone, Monza, Venezia — shrunk toward a promoted-team prior (attack 0.822, defence 1.198), because promoted sides are markedly weaker than average and treating them as average is the biggest source of early-season error.