Latest Premier League AI Predictions: Results, Under/Over & Shots

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Last updated: 2026-06-15

Game #1

Liverpool

HOME
VS

Brentford

AWAY

Match Result Probability

Liverpool
67.5%
Draw
16.9%
Brentford
15.6%

Over/Under 2.5 Goals

Over 2.5
59.2%
Under 2.5
40.8%

Goal/No Goal

Goal
60.1%
No Goal
39.9%

Predicted Result

Home Over 2.5 Goal

Game #2

Brighton

HOME
VS

Man United

AWAY

Match Result Probability

Brighton
53.8%
Draw
22.0%
Man United
24.2%

Over/Under 2.5 Goals

Over 2.5
60.5%
Under 2.5
39.5%

Goal/No Goal

Goal
60.9%
No Goal
39.1%

Predicted Result

Home Over 2.5 Goal

Game #3

Chelsea

HOME
VS

Tottenham

AWAY

Match Result Probability

Chelsea
53.2%
Draw
22.9%
Tottenham
24.0%

Over/Under 2.5 Goals

Over 2.5
49.6%
Under 2.5
50.4%

Goal/No Goal

Goal
57.9%
No Goal
42.1%

Predicted Result

Home Under 2.5 Goal

Game #4

Fulham

HOME
VS

Newcastle

AWAY

Match Result Probability

Fulham
44.2%
Draw
25.4%
Newcastle
30.4%

Over/Under 2.5 Goals

Over 2.5
59.2%
Under 2.5
40.8%

Goal/No Goal

Goal
60.9%
No Goal
39.1%

Predicted Result

Home Over 2.5 Goal

Game #5

Burnley

HOME
VS

Wolves

AWAY

Match Result Probability

Burnley
41.4%
Draw
24.6%
Wolves
34.0%

Over/Under 2.5 Goals

Over 2.5
47.4%
Under 2.5
52.6%

Goal/No Goal

Goal
52.7%
No Goal
47.3%

Predicted Result

Home Under 2.5 Goal

Game #6

Crystal Palace

HOME
VS

Arsenal

AWAY

Match Result Probability

Crystal Palace
26.5%
Draw
22.7%
Arsenal
50.7%

Over/Under 2.5 Goals

Over 2.5
54.1%
Under 2.5
45.9%

Goal/No Goal

Goal
52.8%
No Goal
47.2%

Predicted Result

Away Over 2.5 Goal

Game #7

Bournemouth

HOME
VS

Man City

AWAY

Match Result Probability

Bournemouth
21.8%
Draw
19.9%
Man City
58.3%

Over/Under 2.5 Goals

Over 2.5
58.6%
Under 2.5
41.4%

Goal/No Goal

Goal
58.9%
No Goal
41.1%

Predicted Result

Away Over 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.

Goal Spread Predictions

Expected goal difference (home - away) with full probability distributions for handicap analysis.

AI-Powered Premier League Predictions

The Premier League is the world's most-watched football league, featuring intense competition and global stars. Our AI models analyze last 10 seasons of Premier League data, processing approximately 700 features including Expected Goals (xG), shots, and team performance metrics to deliver predictions with full probability context.

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

Match Winner
Under/Over 2.5
Shots
Goal No Goal
Corners
Goal Spread

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 Premier League KPIs

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

46%
Home Wins %
31%
Away Wins %
23%
Draws %
54%
Over 2.5 Goals %
53%
Both Teams Score %
2.8
Avg Goals per Match
25.6
Avg Shots per Match
10.5
Avg Corners per Match

Match Results Trend

Premier League match results trend chart showing home wins, away wins, and draws percentages across seasons

Goals & Over 2.5 Trend

Premier League goals trend chart showing average goals scored and over 2.5 percentage across seasons

Match Metrics Trend

Premier League match metrics chart showing average shots and corners per match across seasons

2025-2026 Premier League Teams

Arsenal
Aston Villa
Bournemouth
Brentford
Brighton
Burnley
Chelsea
Crystal Palace
Everton
Fulham
Leeds
Liverpool
Man City
Man United
Newcastle
Nott'm Forest
Sunderland
Tottenham
West Ham
Wolves

Premier League 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.

Cross-League Prediction Hub

Compare predictions across all five leagues in one view. Sort matches by over/under 2.5 probability, goal spread, corners, or draw likelihood.

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 Premier League Predictions

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

Join Our Telegram Channel

Download Premier League Probability Data

Every match analysis includes downloadable probability distributions in JSON and CSV format. Access full PDFs, CDFs, and match prediction data for your own analysis.

Open any match analysis above and download structured data with a free account.

Learn How to Use Our Data

Frequently Asked Questions

We are the only sports analytics platform providing neural network-based probability predictions for Premier League matches that go beyond simple averages. Our models generate expected values from deep learning with full probability context for shots 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 Premier League seasons.

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 13 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.

The Premier League is one of the most competitive leagues in Europe, with home win rates averaging around 46% over the last decade. The league's financial parity and depth of talent make it particularly challenging to predict, which is why our neural network models leverage 700+ features to capture the complexity of each match.