Serie A betting tips from our AI panel
Serie A brings together 20 clubs over a 38-matchday season. Before every match, each AI model in our panel reads the same data pack and names a single bet. Whichever bet gathers the widest backing across the panel is published as our Serie A tip ahead of kick-off, beside the bookmaker price quoted at that point. When the match is over, the tip is settled (win, loss or void) and kept in the record for good.
The full match breakdown covers team form, league position, head-to-head record, injuries, suspensions and the betting line.
2026/27 season · upcoming matches and predictions · updated 17 October
Predictions for upcoming Serie A matches
Our pick is the main bet, the pick of the largest group of AI models, and it counts towards our accuracy and profit statistics; the likely score is calculated separately and is one possible scenario for the match, not a second bet.
Full project methodologyHow our Serie A predictions did
Our pick since 16 October: 2 of 4 won · result −0.98 units
2:0Roma–GenoaOur pick:O 2.5prediction lost8 of 16 AI models picked this bet1 1.58X 4.022 6.041:3Bologna–InterOur pick:2prediction won9 of 16 AI models picked this bet1 5.80X 4.212 1.571:0Venezia–NapoliOur pick:2prediction lost12 of 16 AI models picked this bet1 4.57X 3.982 1.734:2Frosinone–SassuoloOur pick:BTTSprediction won9 of 16 AI models picked this bet1 2.40X 3.702 2.79All Serie A results with verified predictions
Serie A in the 2026/27 season
After 64 matches, teams are scoring 2.9 goals per game on average. Over 2.5 goals landed in 56% of games, and both teams scored in 59%.
| Metric | Season 2026/27 | Season 2025/26 |
|---|---|---|
| Goals per match | 2.89 | 2.43 |
| Home wins | 48% | 39% |
| Draws | 19% | 26% |
| Away wins | 33% | 35% |
| Both teams to score | 59% | 45% |
| Over 1.5 goals | 83% | 70% |
| Over 2.5 goals | 56% | 46% |
| Over 3.5 goals | 28% | 22% |
This season — from 64 played matches, last season — from all 380 matches.
Total — goals by both teams in a match; shares are of all matches played.
Who is in form
| Best form | Inter | · 13 of 15 points |
|---|---|---|
| Most prolific attack | Inter | 21 goals in 7 matches · 3.0 per match |
| Tightest defence | Roma | 3 conceded in 7 matches · 0.4 per match |
Form — up to the last five matches, most recent on the right: W — win, D — draw, L — loss; compared per match.
Serie A table
| # | Team | W | D | L | P | Goals | Pts |
|---|---|---|---|---|---|---|---|
| 1 | Inter | 6 | 1 | 0 | 7 | 21:9 | 19 |
| 2 | Roma | 5 | 2 | 0 | 7 | 16:3 | 17 |
| 3 | Lazio | 5 | 1 | 0 | 6 | 11:4 | 16 |
| 4 | Frosinone | 4 | 1 | 2 | 7 | 13:9 | 13 |
| 5 | Cagliari | 4 | 1 | 1 | 6 | 6:3 | 13 |
| 6 | Milan | 3 | 3 | 0 | 6 | 11:5 | 12 |
| 7 | Juventus | 3 | 2 | 1 | 6 | 9:5 | 11 |
| 8 | Como | 3 | 2 | 1 | 6 | 9:6 | 11 |
| 9 | Napoli | 3 | 1 | 3 | 7 | 10:7 | 10 |
| 10 | Atalanta | 3 | 0 | 3 | 6 | 8:8 | 9 |
| 11 | Sassuolo | 2 | 2 | 3 | 7 | 12:14 | 8 |
| 12 | Torino | 2 | 1 | 3 | 6 | 7:9 | 7 |
| 13 | Lecce | 2 | 0 | 4 | 6 | 6:12 | 6 |
| 14 | Bologna | 1 | 2 | 4 | 7 | 6:10 | 5 |
| 15 | Udinese | 1 | 1 | 4 | 6 | 9:13 | 4 |
| 16 | Monza | 1 | 1 | 4 | 6 | 9:15 | 4 |
| 17 | Parma | 1 | 1 | 4 | 6 | 4:10 | 4 |
| 18 | Fiorentina | 1 | 1 | 4 | 6 | 7:14 | 4 |
| 19 | Genoa | 1 | 1 | 5 | 7 | 5:13 | 4 |
| 20 | Venezia | 1 | 0 | 6 | 7 | 6:16 | 3 |
The leader is highlighted.
Which AI predicts Serie A best
Every model sees the same matches and names one bet each. The ranking is by profit.
| # | AI model | Won | Avg odds | ROI | Profit |
|---|---|---|---|---|---|
| — |  GLMtoo few bets | 4 of 4 | 1.84 | — | +3.35 |
| — | DeepSeektoo few bets | 4 of 4 | 1.83 | — | +3.33 |
| — | Mistraltoo few bets | 3 of 4 | 2.23 | — | +2.04 |
| — | Kimitoo few bets | 3 of 4 | 1.94 | — | +1.53 |
| — | Xiaomi MiMotoo few bets | 3 of 4 | 1.86 | — | +1.23 |
| — | DeepSeek Flashtoo few bets | 3 of 4 | 1.72 | — | +1.16 |
| — |  Sonartoo few bets | 3 of 4 | 1.56 | — | +0.51 |
| — | Nemotron Supertoo few bets | 3 of 4 | 1.55 | — | +0.48 |
| — |  Dots3-Notetoo few bets | 2 of 4 | 1.68 | — | −0.62 |
| — |  Groktoo few bets | 2 of 4 | 1.69 | — | −0.62 |
| — | MiniMaxtoo few bets | 2 of 4 | 1.81 | — | −0.62 |
| — | Nemotron Ultratoo few bets | 2 of 4 | 1.75 | — | −0.87 |
| — |  Geminitoo few bets | 2 of 4 | 1.62 | — | −0.91 |
| — | Claudetoo few bets | 2 of 4 | 1.61 | — | −0.92 |
| — | Qwentoo few bets | 2 of 4 | 1.72 | — | −0.98 |
| — | ChatGPTtoo few bets | 0 of 4 | 1.81 | — | −4.00 |
| All models combined | 40 of 64 | 1.76 | +6.4% | +4.09 | |
| Model consensusour published prediction | 2 of 4 | 1.60 | — | −0.98 | |
| Bookmakers’ favouritehome or away at the shorter price | 3 of 4 | 1.82 | — | +1.55 |
All models combined — every bet of every model added up
Model consensus — one bet per match, from the largest group of models pointing the same way. This is what we publish as our prediction
Bookmakers’ favourite — a bet on the side with the shorter price. A yardstick for comparison, not a prediction of ours
The comparison rows are counted on the same matches; the favourite’s price is the last line before kick-off, and matches without it are left out of that row
“won” excludes voids; ROI is profit against the total staked
No place is given while there are too few settled bets — those rows are marked
On a small sample the order can change noticeably from one matchday to the next