Blockbuster encounters and tactical masterclasses take center stage in Italy as Serie A kicks off Giornata 3 from September 4–7. With the summer transfer window officially closing on September 1, clubs across the peninsula are unleashing their newly assembled squads for a monumental weekend of football.
The crown jewel of the round unfolds on Sunday evening, September 6, as Juventus hosts Milan at the Allianz Stadium. Juventus is set to integrate headline deadline-day arrivals Nick Woltemade and Pape Sarr in a battle between 100% record contenders. On Saturday, September 5, San Siro hosts a massive clash as Inter locks horns with Napoli, while Roma welcomes Atalanta to the Stadio Olimpico. Earlier on Saturday, Fiorentina debuts new signings Pedro Gonçalves and Beto against Torino. Let me guide you through our AI-driven predictions and statistical breakdowns for this week’s matches.
Full Time Results and Asian Handicap
In the table below you will find our AI prediccions for Serie A round 3. Asian refers to the recomended asian handicap line.
| Date | League | Home Team | Away Team | Prediction | Asian |
|---|---|---|---|---|---|
| 2026-09-04 | Serie A | Genoa | Como | A | 1X2 |
| 2026-09-05 | Serie A | Fiorentina | Torino | H | 1X2 |
| 2026-09-05 | Serie A | Inter Milan | Napoli | H | 1X2 |
| 2026-09-05 | Serie A | Roma | Atalanta | H | 1X2 |
| 2026-09-06 | Serie A | Frosinone | Venezia | H | 0 |
| 2026-09-06 | Serie A | Parma | Monza | A | +0.25 |
| 2026-09-06 | Serie A | Bologna | Sassuolo | H | 1X2 |
| 2026-09-06 | Serie A | Juventus | AC Milan | H | 1X2 |
| 2026-09-07 | Serie A | Cagliari | Lecce | H | 1X2 |
| 2026-09-07 | Serie A | Udinese | Lazio | H | 0 |
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Both Teams to Score
BTS (Both Teams to Score) is a popular betting market in sports, especially in soccer. In a BTS bet, you’re wagering on whether both teams in a match will score at least one goal each. The table below shows the BTS stats for the home team at home and the away team away.
| Date | Home Team | Away Team | BTS Home (%) | BTS Away (%) | BTS Target | BTS No Target |
|---|---|---|---|---|---|---|
| 2026-09-04 | Genoa | Como | 45 | 43 | 2.11 | 1.90 |
| 2026-09-05 | Fiorentina | Torino | 60 | 40 | 2.41 | 1.71 |
| 2026-09-05 | Inter Milan | Napoli | 55 | 35 | 2.17 | 1.85 |
| 2026-09-05 | Roma | Atalanta | 25 | 63 | 1.96 | 2.04 |
| 2026-09-06 | Frosinone | Venezia | 0 | 0 | 4.60 | 1.28 |
| 2026-09-06 | Parma | Monza | 45 | 100 | 2.41 | 1.71 |
| 2026-09-06 | Bologna | Sassuolo | 30 | 60 | 1.86 | 2.16 |
| 2026-09-06 | Juventus | AC Milan | 45 | 45 | 2.51 | 1.66 |
| 2026-09-07 | Cagliari | Lecce | 35 | 35 | 2.78 | 1.56 |
| 2026-09-07 | Udinese | Lazio | 40 | 15 | 2.47 | 1.68 |
Totals
The table below shows the goal averages for each encounter based on home teams average performance (goals scored and conceded) at home, and away teams average performance away. We use poisson distribution to calculate probabilities for over and under 2.5 goal. For your convienence we have converted the probabilities to decimal odds.
| Date | League | Home Team | Away Team | +2.5 target odds | -2.5 target odds |
|---|---|---|---|---|---|
| 2026-09-04 | Serie A | Genoa | Como | 3.02 | 1.50 |
| 2026-09-05 | Serie A | Fiorentina | Torino | 7.47 | 1.15 |
| 2026-09-05 | Serie A | Inter Milan | Napoli | 3.28 | 1.44 |
| 2026-09-05 | Serie A | Roma | Atalanta | 1.11 | 10.47 |
| 2026-09-06 | Serie A | Frosinone | Venezia | 1000.00 | 1.00 |
| 2026-09-06 | Serie A | Parma | Monza | 3.15 | 1.46 |
| 2026-09-06 | Serie A | Bologna | Sassuolo | 2.47 | 1.68 |
| 2026-09-06 | Serie A | Juventus | AC Milan | 4.06 | 1.33 |
| 2026-09-07 | Serie A | Cagliari | Lecce | 11.03 | 1.10 |
| 2026-09-07 | Serie A | Udinese | Lazio | 9.82 | 1.11 |
We also have calculated the average goals scored and conceded for the teams. See the table below.
| Team | Home Goals | Home Conceded | Away Goals | Away Conceded |
|---|---|---|---|---|
| Inter Milan | 2.70 | 0.85 | 2.00 | 0.95 |
| Como | 1.84 | 0.79 | 1.57 | 0.76 |
| Roma | 1.85 | 0.50 | 1.50 | 1.05 |
| Juventus | 1.85 | 0.80 | 1.35 | 0.90 |
| Napoli | 1.70 | 1.00 | 1.35 | 0.90 |
| Frosinone | 0.00 | 1.00 | 3.00 | 0.00 |
| Monza | 2.00 | 3.00 | 1.00 | 4.00 |
| AC Milan | 1.35 | 1.05 | 1.50 | 0.75 |
| Atalanta | 1.33 | 0.76 | 1.37 | 1.11 |
| Bologna | 0.95 | 1.20 | 1.50 | 1.20 |
| Sassuolo | 1.35 | 1.35 | 1.10 | 1.30 |
| Udinese | 0.95 | 1.10 | 1.50 | 1.45 |
| Torino | 1.40 | 1.55 | 0.90 | 1.80 |
| Lazio | 1.40 | 1.25 | 0.75 | 0.75 |
| Genoa | 1.10 | 1.40 | 0.95 | 1.30 |
| Fiorentina | 1.05 | 1.20 | 1.00 | 1.65 |
| Cagliari | 1.10 | 1.20 | 0.95 | 1.50 |
| Cremonese | 0.95 | 1.53 | 0.74 | 1.47 |
| Lecce | 0.65 | 1.40 | 0.85 | 1.30 |
| Parma | 0.80 | 1.30 | 0.60 | 1.15 |
| Pisa | 0.47 | 1.37 | 0.89 | 2.37 |
| Hellas Verona | 0.63 | 1.47 | 0.68 | 1.74 |
| Venezia | 0.00 | 2.00 | 0.00 | 2.00 |
Correct Score Predictions
These projections are generated using advanced statistical models that evaluate team strength, expected‑goals data, and historical scoring patterns. The table below highlights the most probable scorelines based on current performance indicators and model‑driven probability weighting.
| Date | League | Home Team | Away Team | Home Score | Away Score |
|---|---|---|---|---|---|
| 2026-09-04 | Serie A | Genoa | Como | 1 | 1 |
| 2026-09-05 | Serie A | Fiorentina | Torino | 1 | 1 |
| 2026-09-05 | Serie A | Inter Milan | Napoli | 1 | 1 |
| 2026-09-05 | Serie A | Roma | Atalanta | 4 | 1 |
| 2026-09-06 | Serie A | Frosinone | Venezia | 1 | 1 |
| 2026-09-06 | Serie A | Parma | Monza | 1 | 1 |
| 2026-09-06 | Serie A | Bologna | Sassuolo | 1 | 1 |
| 2026-09-06 | Serie A | Juventus | AC Milan | 1 | 1 |
| 2026-09-07 | Serie A | Cagliari | Lecce | 1 | 1 |
| 2026-09-07 | Serie A | Udinese | Lazio | 1 | 1 |
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