Free Football Prediction -
2nd September 2026

Time League Match Tip Odds
19:00   Slovenia 1. SNL Aluminij VS Celje Over 1.5 1.17
18:45   Russia Cup Spartak Moscow VS Rodina Moskva Home(1) 1.28
16:30   Russia Cup Zenit VS Dinamo Makhachkala Home(1) 1.36
19:45   Scotland Premiership Dundee VS ST Johnstone Over 1.5 1.28
19:45   Scotland Premiership Celtic VS Aberdeen Home(1) 1.22
Time League / Match / Tip Odds
19:00   SI 1. SNL
Aluminij VS Celje
Over 1.5

1.17
18:45   RU Cup
Spartak Moscow VS Rodina Moskva
Home(1)

1.28
16:30   RU Cup
Zenit VS Dinamo Makhac..
Home(1)

1.36
19:45   GB-SCT Premiership
Dundee VS ST Johnstone
Over 1.5

1.28
19:45   GB-SCT Premiership
Celtic VS Aberdeen
Home(1)

1.22
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Recent Winnings
Date League Match Tip Score
02/09   Brazil Copa Do Brasil Atletico-MG VS Cruzeiro Home Win or Draw(1X) 2 : 1
02/09   Bolivia Copa D L División Profe.. Universitario de Vinto VS Aurora Away Win or Draw(X2) 1 : 1
01/09   England Championship Birmingham VS Southampton 1 : 1
01/09   Turkey 1. Lig Boluspor VS Keçiörengücü 0 : 2
01/09   Italy Coppa Italia Torino VS Monza Over 1.5 0 : 1
01/09   Switzerland Super League FC Zurich VS BSC Young Boys Away Win or Draw(X2) 2 : 4
01/09   Sweden Superettan Helsingborg VS Orebro SK Over 1.5 1 : 1
01/09   Bosnia Premijer Liga Zrinjski VS BSK Banja Luka Over 1.5 3 : 1
Date League / Match / Tip Score
02/09   BR Copa Do Brasil
Atletico-MG VS Cruzeiro
Home Win or Draw(1X)
2 : 1
02/09   BO Copa D L División Prof..
Universitario.. VS Aurora
Away Win or Draw(X2)
1 : 1
01/09   GB-ENG Championship
Birmingham VS Southampton
1 : 1
01/09   TR 1. Lig
Boluspor VS Keçiörengü..
0 : 2
01/09   IT Coppa Italia
Torino VS Monza
Over 1.5
0 : 1
01/09   CH Super League
FC Zurich VS BSC Young Boys
Away Win or Draw(X2)
2 : 4
01/09   SE Superettan
Helsingborg VS Orebro SK
Over 1.5
1 : 1
01/09   BA Premijer Liga
Zrinjski VS BSK Banja Luka
Over 1.5
3 : 1

SoccerSTATS Football Statistics

Football statistics have become an important part of how many fans, analysts, and bettors evaluate matches. Instead of relying only on recent results or opinions, statistical data can help provide additional context about team performance, scoring trends, and league patterns.

Soccerstats is one of several websites that publishes football statistics from leagues and competitions around the world. The platform primarily focuses on match data, league tables, historical results, and performance trends that users can review before following or analysing a game.

This guide explains what SoccerSTATS offers, the types of football statistics available on the platform, and how those statistics can be used as part of football analysis.

What Is SoccerSTATS?

SoccerSTATS is a football statistics website that provides historical match data, league standings, team performance metrics, and statistical analysis across numerous domestic leagues and international competitions.

The platform collects football data and presents it in an organised format, making it easier for users to compare teams, review previous results, and identify performance trends over time.

While many users refer to Soccerstats when researching football matches, the statistics should be viewed as informational tools rather than predictions or guarantees of future results.

Football Statistics Available on SoccerSTATS

SoccerSTATS covers a wide range of football data, including:

Type of Football Statistics Information Available
Over/Under & Goal Markets Percentages for Over/Under 1.5, 2.5, and 3.5 goals, Both Teams to Score (BTTS), clean sheets, and other goal-related trends.
Half-Time/Full-Time Statistics Half-time and full-time results, first-half goals, and records showing how often teams lead at the break.
Goal Timing Analysis Breakdown of when goals are scored and conceded in 15-minute intervals, including home and away performance.
Disciplinary Records Yellow cards, red cards, fouls committed, and penalty statistics.
Corners & Match Events Average corners, first team to score, comeback statistics, and other match-event data.
Player Statistics Top scorers, assists, and other player performance statistics where available.

These statistics allow users to compare teams and identify patterns across different competitions.

How Football Statistics Can Support Match Analysis

Football statistics can provide useful insights when evaluating upcoming fixtures. They allow users to examine factors such as scoring frequency, defensive records, home and away form, and recent team performance.

For example, reviewing goal averages, clean-sheet records, or Both Teams to Score percentages may help identify trends that have occurred over previous matches.

However, statistics represent historical performance. They cannot account for every factor that influences a football match, including injuries, tactical changes, player suspensions, weather conditions, or unexpected events during the game.

For this reason, statistics are best used as one part of a broader analysis rather than as the sole basis for predicting match outcomes.

Are Football Statistics Reliable for Betting?

Football statistics are valuable because they are based on historical match data rather than assumptions. They can help users make more informed decisions by highlighting long-term trends and performance patterns.

However, no statistical model or football website can guarantee accurate predictions or winning bets. Football remains unpredictable, and unexpected results occur regularly.

Anyone using football statistics for betting should understand that past performance does not guarantee future outcomes. Statistics are most effective when combined with responsible bankroll management, team news, injury updates, and independent research.

Final Thoughts

Soccerstats is a useful resource for anyone looking to explore football statistics, historical results, and league performance data. Whether you are analysing matches, researching team trends, or simply following football more closely, the platform offers a broad collection of information from competitions around the world.

As with any football statistics website, the data should be used to support informed analysis rather than treated as a guarantee of future results. Combining statistical research with current team news and other reliable sources will generally provide a more balanced view of upcoming matches.