Latest Serie A AI Predictions: Results, Under/Over & Shots

Last updated: 2026-03-10

Game #1

Napoli

HOME
VS

Lecce

AWAY

Match Result Probability

Napoli
94.8%
Draw
3.2%
Lecce
2.0%

Over/Under 2.5 Goals

Over 2.5
44.4%
Under 2.5
55.6%

Goal/No Goal

Goal
46.8%
No Goal
53.2%

Predicted Result

Home Under 2.5 no_Goal

Game #2

Inter

HOME
VS

Atalanta

AWAY

Match Result Probability

Inter
68.4%
Draw
16.3%
Atalanta
15.2%

Over/Under 2.5 Goals

Over 2.5
56.5%
Under 2.5
43.5%

Goal/No Goal

Goal
61.4%
No Goal
38.6%

Predicted Result

Home Over 2.5 Goal

Game #3

Torino

HOME
VS

Parma

AWAY

Match Result Probability

Torino
60.2%
Draw
20.4%
Parma
19.4%

Over/Under 2.5 Goals

Over 2.5
47.4%
Under 2.5
52.6%

Goal/No Goal

Goal
52.4%
No Goal
47.6%

Predicted Result

Home Under 2.5 Goal

Game #4

Como

HOME
VS

Roma

AWAY

Match Result Probability

Como
58.4%
Draw
20.7%
Roma
20.8%

Over/Under 2.5 Goals

Over 2.5
44.2%
Under 2.5
55.8%

Goal/No Goal

Goal
49.5%
No Goal
50.5%

Predicted Result

Home Under 2.5 no_Goal

Game #5

Verona

HOME
VS

Genoa

AWAY

Match Result Probability

Verona
38.7%
Draw
26.9%
Genoa
34.5%

Over/Under 2.5 Goals

Over 2.5
45.9%
Under 2.5
54.1%

Goal/No Goal

Goal
51.7%
No Goal
48.3%

Predicted Result

Home Under 2.5 Goal

Game #6

Pisa

HOME
VS

Cagliari

AWAY

Match Result Probability

Pisa
25.0%
Draw
19.0%
Cagliari
56.0%

Over/Under 2.5 Goals

Over 2.5
42.8%
Under 2.5
57.2%

Goal/No Goal

Goal
50.1%
No Goal
49.9%

Predicted Result

Away Under 2.5 Goal

Game #7

Lazio

HOME
VS

Milan

AWAY

Match Result Probability

Lazio
16.4%
Draw
15.6%
Milan
68.0%

Over/Under 2.5 Goals

Over 2.5
43.9%
Under 2.5
56.1%

Goal/No Goal

Goal
51.5%
No Goal
48.5%

Predicted Result

Away Under 2.5 Goal

Game #8

Sassuolo

HOME
VS

Bologna

AWAY

Match Result Probability

Sassuolo
11.7%
Draw
11.0%
Bologna
77.4%

Over/Under 2.5 Goals

Over 2.5
46.5%
Under 2.5
53.5%

Goal/No Goal

Goal
56.1%
No Goal
43.9%

Predicted Result

Away Under 2.5 Goal

Game #9

Cremonese

HOME
VS

Fiorentina

AWAY

Match Result Probability

Cremonese
9.2%
Draw
9.1%
Fiorentina
81.7%

Over/Under 2.5 Goals

Over 2.5
48.5%
Under 2.5
51.5%

Goal/No Goal

Goal
51.9%
No Goal
48.1%

Predicted Result

Away Under 2.5 Goal

Game #10

Udinese

HOME
VS

Juventus

AWAY

Match Result Probability

Udinese
5.3%
Draw
6.0%
Juventus
88.6%

Over/Under 2.5 Goals

Over 2.5
49.4%
Under 2.5
50.6%

Goal/No Goal

Goal
52.8%
No Goal
47.2%

Predicted Result

Away Under 2.5 Goal

What's Inside Each Match Analysis

Click on any match card above to access our in-depth match analysis pages. Each article provides comprehensive insights you won't find elsewhere:

AI-Generated Match Preview

Data-driven match analysis with prediction summary, team form assessment, and key tactical insights.

Under/Over 2.5 Goals Analysis

Detailed probability breakdown for goals predictions based on team scoring patterns and defensive records.

Shots Predictions

Expected shots derived from neural network probability distributions, not simple averages.

Corners Predictions

Neural network-based corner kick predictions with probability context for more informed analysis.

AI-Powered Serie A Predictions

Serie A is Italy's top-flight football league, known for its tactical depth and defensive traditions. Our AI models analyze last 10 seasons of Serie A data, processing approximately 700 features including Expected Goals (xG), shots made and conceded, and recent team form to generate accurate match predictions with full probability context.

Our proprietary neural network models are trained on 10 seasons of Serie A data and leverage approximately 700 features including latest teams performance, Games metrics , Expected Goals.

Match Winner
Under/Over 2.5
Shots
Goal No Goal

What sets us apart: Unlike competitors who provide simple averages for shots and corners, our neural network models generate expected values derived from probability distributions. This means our predictions capture the full range of likely outcomes, providing deeper analytical insight than basic statistical averages.

Our models incorporate recent team form, home/away performance differentials, Expected Goals (xG), and match-level metrics such as shots made and conceded, corners, fouls, and possession patterns to deliver comprehensive match predictions.

Historical Serie A KPIs

Explore how key Serie A metrics have evolved over the last 10 seasons. These trends inform our AI models and provide context for current predictions.

42%
Home Wins %
31%
Away Wins %
26%
Draws %
52%
Over 2.5 Goals %
55%
Both Teams Score %
2.7
Avg Goals per Match
24.5
Avg Shots per Match
10.1
Avg Corners per Match

Match Results Trend

Serie A match results trend chart showing home wins, away wins, and draws percentages across seasons

Goals & Over 2.5 Trend

Serie A goals trend chart showing average goals scored and over 2.5 percentage across seasons

Match Metrics Trend

Serie A match metrics chart showing average shots and corners per match across seasons

2025-2026 Serie A Teams

Atalanta
Bologna
Cagliari
Como
Cremonese
Fiorentina
Genoa
Inter
Juventus
Lazio
Lecce
Milan
Napoli
Parma
Pisa
Roma
Sassuolo
Torino
Udinese
Verona

Serie A Power Rankings

Two rating models, one table. ELO measures accumulated season strength. Glicko-2 adds a confidence layer — flagging teams whose form is inconsistent. The Rank Δ column shows where both systems disagree most. Updated after every matchday.

Prediction Transparency

We believe in full transparency. All our historical predictions and their outcomes are publicly available. Track our prediction accuracy and model performance over time:

Get Daily Serie A Predictions

If you like our content and want to receive daily predictions, subscribe to our Telegram channel and receive daily AI-driven Serie A predictions directly on your phone.

Join Our Telegram Channel

Frequently Asked Questions

We are the only sports analytics platform providing neural network-based probability predictions for Serie A matches that go beyond simple averages. Our models generate expected values from deep learning with full probability context for shots and corners predictions, giving you deeper insight into the range of likely outcomes.

Our neural networks process approximately 700 features including Expected Goals (xG), shots made and conceded, recent team form, and historical match data spanning 10 Serie A seasons. The models incorporate both team-level and match-level metrics.

We provide predictions for match winner (home, draw, away with probabilities), under/over 2.5 goals, shots predictions, and goal/no goal predictions. Each prediction type uses a dedicated neural network model optimized for that specific task.

We believe in full transparency. All our historical predictions and outcomes are publicly available on our performance tracking page, where you can verify our accuracy across different prediction types and seasons.

A probability distribution shows the likelihood of each possible outcome, not just a single prediction. For example, for shots predictions, instead of just saying 'expected 12 shots,' our models provide the expected value derived from neural network probability distributions, giving you deeper insight than simple averages. Learn more about probability distributions.

We provide two types of charts in each match analysis. The probability distribution chart shows you the likelihood of each possible outcome—the peak indicates the most likely result, and the spread shows how certain the prediction is. The CDF (Cumulative Distribution Function) chart is perfect for understanding over/under scenarios—it shows the probability of outcomes being less than or equal to any value. Read our complete guide to understanding probability charts.

Our predictions are generated on average 2-3 days before each matchday. We process the latest match results, team form data, and performance metrics to ensure predictions reflect the most current information available.

Serie A consists of 20 teams competing in a round-robin format, with each team playing 38 matches per season (19 home and 19 away). The bottom three teams are relegated to Serie B at the end of each season.

Expected Goals (xG) is a metric that measures the quality of scoring chances by assigning a probability to each shot based on factors like distance, angle, and assist type. Our models use xG as one of the key features to assess team attacking quality beyond just goals scored, providing more accurate predictions.