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

Last updated: 2026-03-17

Game #1

Como

HOME
VS

Pisa

AWAY

Match Result Probability

Como
82.5%
Draw
9.9%
Pisa
7.6%

Over/Under 2.5 Goals

Over 2.5
58.9%
Under 2.5
41.1%

Goal/No Goal

Goal
47.6%
No Goal
52.4%

Predicted Result

Home Over 2.5 no_Goal

Game #2

Milan

HOME
VS

Torino

AWAY

Match Result Probability

Milan
77.2%
Draw
12.5%
Torino
10.3%

Over/Under 2.5 Goals

Over 2.5
52.3%
Under 2.5
47.7%

Goal/No Goal

Goal
50.0%
No Goal
50.0%

Predicted Result

Home Over 2.5 no_Goal

Game #3

Juventus

HOME
VS

Sassuolo

AWAY

Match Result Probability

Juventus
76.6%
Draw
12.8%
Sassuolo
10.6%

Over/Under 2.5 Goals

Over 2.5
55.8%
Under 2.5
44.2%

Goal/No Goal

Goal
49.5%
No Goal
50.5%

Predicted Result

Home Over 2.5 no_Goal

Game #4

Roma

HOME
VS

Lecce

AWAY

Match Result Probability

Roma
76.3%
Draw
13.0%
Lecce
10.8%

Over/Under 2.5 Goals

Over 2.5
45.7%
Under 2.5
54.3%

Goal/No Goal

Goal
46.4%
No Goal
53.6%

Predicted Result

Home Under 2.5 no_Goal

Game #5

Atalanta

HOME
VS

Verona

AWAY

Match Result Probability

Atalanta
73.9%
Draw
14.1%
Verona
12.0%

Over/Under 2.5 Goals

Over 2.5
57.0%
Under 2.5
43.0%

Goal/No Goal

Goal
52.4%
No Goal
47.6%

Predicted Result

Home Over 2.5 Goal

Game #6

Bologna

HOME
VS

Lazio

AWAY

Match Result Probability

Bologna
55.0%
Draw
22.1%
Lazio
22.9%

Over/Under 2.5 Goals

Over 2.5
44.3%
Under 2.5
55.7%

Goal/No Goal

Goal
46.6%
No Goal
53.4%

Predicted Result

Home Under 2.5 no_Goal

Game #7

Parma

HOME
VS

Cremonese

AWAY

Match Result Probability

Parma
54.7%
Draw
22.3%
Cremonese
22.9%

Over/Under 2.5 Goals

Over 2.5
44.4%
Under 2.5
55.6%

Goal/No Goal

Goal
50.2%
No Goal
49.8%

Predicted Result

Home Under 2.5 Goal

Game #8

Genoa

HOME
VS

Udinese

AWAY

Match Result Probability

Genoa
52.8%
Draw
23.1%
Udinese
24.1%

Over/Under 2.5 Goals

Over 2.5
43.6%
Under 2.5
56.4%

Goal/No Goal

Goal
52.2%
No Goal
47.8%

Predicted Result

Home Under 2.5 Goal

Game #9

Fiorentina

HOME
VS

Inter

AWAY

Match Result Probability

Fiorentina
24.4%
Draw
21.5%
Inter
54.1%

Over/Under 2.5 Goals

Over 2.5
56.1%
Under 2.5
43.9%

Goal/No Goal

Goal
54.4%
No Goal
45.6%

Predicted Result

Away Over 2.5 Goal

Game #10

Cagliari

HOME
VS

Napoli

AWAY

Match Result Probability

Cagliari
23.9%
Draw
21.2%
Napoli
54.9%

Over/Under 2.5 Goals

Over 2.5
46.4%
Under 2.5
53.6%

Goal/No Goal

Goal
50.4%
No Goal
49.6%

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
Corners

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.

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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.