A theory is a tool that is used to find patterns in historical data that lead to certain outcomes. Assume you want to find out how often a team scores in a match if they have won their 2 previous matches. In BallChemist you can formulate this pattern using what we call conditions and outcomes.
In this case the conditions are:
A condition is a set of user defined criteria that must be met for the theory to be applicable to a match. The engine will discard any matches that don't comply with the conditions, and for matches that do, it will evaluate the outcome.
An outcome is the result that the theory aims to predict. This could be a specific event in a match, such as a team scoring a goal, or a broader result, like the final match score, number of cards shown, half time result, etc
Conditions can be related to a team's season performance, such as wins, losses, average ball possession, goals scored, etc. It can also be about their opponent's performance, or in-game events like scoring a goal before a given minute. All the following can be expressed as conditions:
Outcomes can include various match events or final results that the theory aims to predict. Examples of outcomes include:
Theories work by matching patterns in historical football data. You define conditions and outcomes, and the system finds all matches where those conditions were true, then calculates the probability of the outcome happening. This gives you statistical insights based on real historical performance rather than guesswork.
Unlike traditional predictions based on intuition or expert opinion, Theories are data-driven and verifiable. Every theory shows you exactly how many historical matches matched your conditions and what the actual outcomes were. This transparency allows you to make informed decisions based on statistical evidence.
Theory accuracy depends on several factors: the quality of your conditions, the sample size of matching historical matches, and the specific outcome you're predicting. A theory that has 100% success rate that matched only 5 fixtures in 5 leagues and seasons might not be as reliable as another that has 87% success rate on 86 fixtures on 3 leagues and seasons.However, remember that past performance doesn't guarantee future results - theories provide probabilities, not certainties.
Traditional betting tips are usually based on expert opinion or intuition. BallChemist Theories are fundamentally different: they're based on statistical analysis of historical data. Every theory shows you exactly how many matches matched your conditions historically and what percentage achieved the predicted outcome. This transparency lets you evaluate the reliability of each theory before making decisions. You can see the data behind every prediction.
When evaluating a theory, consider three key metrics: Sample Size (aim for 30+ matches, preferably 50+), Win Rate (70%+ is promising, 90%+ is excellent), and Consistency (check if results are similar across different seasons or leagues). Always consider the context and don't rely on a single theory for decisions.
Datasets are collections of historical match data that you can use to test your theories. They contain a list of teams and seasons to test the theory on. You can create and manage your own datasets from the Datasets page.
Team Datasets include a collection of individual teams that you add one by one. You can combine teams from different leagues.
Example: Real Madrid, Paris Saint Germain, Bayern Munich in 2023,2024, and 2025 seasons
League Datasets include all teams from leagues selected by you for the selected seasons. This allows you to test theories across multiple teams within the same league.
Example: All teams from the Premier League in 2023, 2024, and 2025 seasons
FixtureXResultCondition checks the result of a match from X games ago. For example, 'FixtureXResultCondition(2, Win)' means the team won 2 matches ago. This is useful for analyzing recent form. See the glossary for more details.
This condition checks how many goals a team scored in a match from X games ago. You can use comparison operators like 'more than', 'exactly', or 'fewer than'. For example, 'Goals Scored in Fixture 1 > 2' checks if the team scored more than 2 goals in their last match. See the glossary.
Yes! The power of BallChemist comes from combining multiple conditions to create sophisticated theories. For example, you can require that a team won their last 2 matches AND scored at least 2 goals in each AND their opponent lost their last match. All conditions must be true for a match to be included in the analysis.
We recommend starting with 2-3 conditions. Too few conditions (just 1) may be too general, while too many conditions (5+) can make it difficult to find enough historical matches for reliable statistical analysis. Strike a balance between specificity and sample size.
Yes! Venue is a powerful condition in BallChemist. You can specify whether a team is playing at home or away. This is important because home advantage is a significant factor in football. You can also combine venue with other conditions - for example, checking a team's home form (last 3 home matches) separately from their away form.
Yes, you can create opponent-based conditions. For example, you might check if the opponent lost their last match, or if they've been conceding many goals recently. This allows you to identify favorable matchups - situations where your team's strengths align with the opponent's weaknesses. Combining team form conditions with opponent form conditions creates powerful theories.
Recent form (last 3-6 matches) is generally more predictive than season-long averages because it reflects a team's current state. Teams go through hot and cold streaks, so recent performance often better predicts near-term results. However, combining both can be effective - for example, 'team won last 2 matches AND has scored 2+ goals per game this season' combines immediate form with overall quality.
A 'Hot Streak' theory might check if a team won their last 3 matches and predict they'll win the next one. You'd use three FixtureXResultCondition conditions for matches 1, 2, and 3 games ago, all set to 'Win'. Historical data shows teams on 3-game winning streaks win approximately 51% of their next matches.
This theory identifies home teams that have been scoring heavily: 'Team is playing at home AND scored 3+ goals in last 2 home matches'. This combination helps identify teams in strong attacking form with home advantage. Historically, these teams score 2+ goals in 65% of cases.
Target teams with poor away form: 'Team is playing away AND lost last 3 away matches'. This identifies teams vulnerable on the road. When combined with a strong home opponent, these matches have historically favored the home team in over 70% of cases.
Identify teams with strong defensive records: 'Team kept a clean sheet in last 2 matches AND conceded fewer than 1 goal per game in last 5 matches'. This theory finds teams in strong defensive form. Historically, teams meeting these conditions concede 0.5 goals or fewer in their next match 62% of the time, making Under 1.5 goals a strong prediction.
Identify consistent scoring patterns: 'Team scored 2+ goals in last 4 matches AND opponent conceded 2+ goals in last 3 matches'. This combines attacking form with defensive vulnerability. When both conditions align, the team scores 2+ goals in 71% of cases, making Over 1.5 team goals a reliable prediction. This works particularly well when combined with home advantage.
BallChemist supports all major European leagues including Premier League, La Liga, Bundesliga, Serie A, Ligue 1, Eredivisie, and many more. We also cover major international competitions. Check the Leagues page for the complete list of supported competitions.
Our database includes match data dating back to the 2015/2016 season for most major leagues. This provides over 10 years of historical data for comprehensive theory testing. Some leagues may have data going back even further. We continually expand the data pool and keep adding new leagues, and seasons
Match data is updated in real-time as matches are played. Final scores, statistics, and match details are typically available within 5 minutes of match completion. Live match data (in-progress scores) is updated every 2 minutes during active matches. This ensures your theories always have access to the most current information.
Yes! While our primary focus is on major European leagues, we also support second-tier leagues (Championship, 2. Bundesliga). Coverage varies by region - we have the most comprehensive data for European competitions. Check the Leagues page to see all available competitions for your subscription tier.
We don't cover international competitions like the World Cup at this time. We are working towards including them, so check back later
You can reach our support team by clicking the support link on the top of the page, or join our discord channel and reach us through there. We try to respond to inquiries as soon as possible.
If your theory returns no results, your conditions may be too specific. Try removing one condition at a time to see which one is limiting your results. Also ensure you're testing against the correct league and season - some conditions work better in certain competitions.
Theory execution time depends on the number of conditions, the theories to be processed in the queue, and the size of the dataset you're testing against. Large datasets (multiple seasons, many leagues) take longer to process. To improve performance, testing against a single league, or reducing the number of conditions.
Our data includes official match results, goals, cards, and other statistics. While we strive for 100% accuracy, occasional discrepancies may occur due to data provider updates or corrections. If you notice any data errors, please report them from the support link with the specific match details.
You can manage your account from the Profile page, accessible via the user menu in the top navigation. From there, you can update your email, change your password, manage your subscription, and adjust notification preferences. For subscription changes, you can upgrade, downgrade, or cancel your plan at any time.
We offer Basic, Advanced, Pro and Enterprise plans. The Basic plan doesn't allow you to create theories, but you can check statistics and comparison tools.For a comparison of Advanced, Pro and Enterprise subscription please check the Subscription section of your profile page
Yes, you can cancel your subscription at any time from your Profile page. If you cancel, you'll retain access to premium features until the end of your current billing period. There are no cancellation fees or penalties.
Yes! New users can start with a trial, which includes unlimited theories and access to one league and season (2024, Premier League ). This gives you a chance to explore BallChemist and see how theories work.
We accept all major credit cards (Visa, Mastercard, American Express) and PayPal. All payments are processed securely through our payment partners. Subscriptions are billed monthly or annually depending on your chosen plan. You can update your payment method at any time from your Profile page under Billing Settings.
Understanding BallChemist terminology
