Can AI Help You Win at Betting?

Luck, skill and intuition have always been part of the mix when it comes to betting. But in recent years AI has added a new ingredient to the recipe.

With the ability to analyse huge amounts of data and find patterns that were previously hidden, AI is being touted as a game changer in gambling circles.

But can AI really help you win at betting? Let’s find out.

 

What is AI and How Does It Work in Betting?

AI means machines simulating human intelligence. In betting, AI systems are designed to process data, find patterns and make predictions based on historical information.

These systems use techniques such as machine learning (ML), neural networks and natural language processing (NLP) to analyse:

  • Past stats
  • Player or team form
  • Market trends
  • Weather
  • Live updates

By combining all that data AI can give you insights that even the most experienced punters miss.

 

AI in Different Types of Betting

AI’s influence isn’t limited to one type of betting. Let’s see how it’s changing each:

1. Sports Betting

In sports betting AI tools can process huge amounts of data from leagues, teams and individual players.

For example predictive models can predict the outcome of a football match based on historical head to head records, current form and injuries.

AI powered platforms like Stats Perform and Opta give punters advanced stats and insights to make better decisions.

2. Horse Racing

AI can analyse years of race data, jockey stats and track conditions to predict the probability of a horse winning.

Some systems even factor in live betting market movements to show value bets.

3. Casino Games

While casino games like roulette and slots are largely luck based, AI can still have a role in optimising strategies for games like poker and blackjack.

AI systems like Pluribus have even beaten professional poker players by finding the optimal strategy.

 

Case Study: Pluribus – The AI That Beat Professional Poker Players

Pluribus is an AI poker system developed by researchers at Facebook AI and Carnegie Mellon University. Unlike previous AI poker bots that excelled in one-on-one games, Pluribus was the first to successfully defeat multiple professional players in no-limit Texas Hold’em, a game with significant hidden information.

The AI was trained using a self-play reinforcement learning approach, meaning it played millions of hands against itself to develop optimal strategies. Pluribus used a combination of game theory and deep learning to adapt its play style dynamically, making unpredictable moves that even the best human players struggled to counter.

In a landmark test, Pluribus competed against five elite professional poker players in a series of 10,000 hands. The AI consistently outperformed the human pros, winning more chips on average than any of its opponents. This breakthrough demonstrated AI’s ability to handle complex, multi-player strategic games where deception and bluffing play crucial roles.

The success of Pluribus highlights the potential for AI in gambling strategy development. While its application in poker is clear, similar AI models could eventually influence sports betting and other betting markets by identifying hidden edges in complex, dynamic environments. 

4. Esports Betting

Esports is a growing market and AI is perfect for this fast paced, data driven industry.

AI can analyse player performance, team dynamics and game stats to give you betting insights.

 

How AI Tools Can Help Punters

AI tools are becoming more popular among punters and offer:

1. Data Analysis

AI can process and analyse huge datasets and produce recommendations for upcoming matches.

For example, if Liverpool were playing Arsenal, an AI tool might examine historical matchups, analysing how Liverpool’s pressing style has impacted Arsenal’s defence in the past.

It could also look at player statistics, such as Mohamed Salah’s goal-scoring record against Arsenal, recent form, injury updates, and even external factors like weather conditions and referee decisions.

Using this comprehensive dataset, the AI could predict a probable outcome and identify value in betting markets such as over/under goals or specific goal-scorer markets

2. Pattern Recognition

AI is excellent at recognising patterns that might not be immediately obvious.

For instance, if Liverpool tends to perform poorly in matches immediately following international breaks, AI can flag this trend.

A platform like Predictology could leverage these insights to recommend avoiding bets on Liverpool winning outright in such scenarios.

Similarly, it might detect Arsenal’s improved performances against high-pressing teams in tight games at home, providing further actionable insights.

3. Real-Time Updates

Many AI platforms provide real-time updates, crunching data as events unfold. In a live match between Liverpool and Arsenal, AI could track metrics like possession stats, shots on target, expected goals (xG), and player substitutions.

For instance, if Arsenal’s defensive line-up changes due to injury, the AI might instantly adjust its predictions, identifying a higher probability for Liverpool to score in the next few minutes.

4. Risk Management

Some AI tools are designed to help bettors manage their bankrolls effectively.

For example, if the Liverpool-Arsenal match has a high degree of unpredictability due to key player injuries, an AI system might recommend reducing stake sizes or diversifying bets across safer markets.

By calculating the risk-to-reward ratio in real-time, it can help bettors maintain a disciplined approach even in volatile betting situations.

 

The State of AI in Betting Today

AI has got everyone in the betting world excited but we are still in the early days. Most AI tools for betting are unproven and only a handful deliver results consistently.

One of the problems is that betting markets are dynamic and influenced by so many unpredictable factors. AI is great at looking at historical data and recognising patterns but adapting to real time changes in events and odds is still a work in progress.

Also many of the AI tools available today are expensive or require a high level of expertise to use effectively. For the average punter accessing these tools and understanding what they can do is a barrier.

That said there are a few examples of AI in action – such as those discussed below – that have started to show what’s possible.

They have found value bets, optimised betting strategies and provided actionable insights from deep data analysis. But widespread adoption and trust in AI systems will take time and evidence of success stories, so punters can see them working in real life.

In short AI will change betting but it has to prove itself first. As it develops and becomes more available its role will grow but for now it’s important to be realistic about what’s possible with AI.

 

The Best AI Tools for Betting Today

Here are a few examples of how AI is being used in betting to help punters beat the bookies:

 

3. Oddschecker’s Positive EV Value Bets

Odds comparison platform Oddschecker has introduced an AI-powered tool designed to identify positive EV (expected value) bets across a variety of sports markets.

The tool uses artificial intelligence to calculate the probability of an event occurring. It then compares this probability with the implied probability derived from the odds. If there’s a discrepancy in the bettor’s favour, it flags it as a positive EV opportunity.

In essence, sports bettors can utilise the Oddschecker AI tool to enhance their betting strategies in multiple ways.

The tool aids punters in identifying betting patterns or trends and highlights arbitrage opportunities by pinpointing chances to bet on both sides of a line across different sportsbooks.

Incorporating injury updates, real-time data, and sophisticated deep learning models, the AI tool continuously learns and refines its algorithms to maximise efficiency.

By leveraging artificial intelligence, it removes the need for human analysis and eliminates bias, mirroring the principles of EV betting.

Whether it’s forecasting game outcomes, delivering accurate predictions, or managing risk, Oddschecker’s AI tool empowers bettors with a strategic edge over sportsbooks.

 

2. Mercurius Tradr

Mercurius Tradr is an AI-driven platform that delivers advanced betting strategies by leveraging historical data and market trends.

The platform’s AI processes over 20,000 data points for each football match, allowing its machine learning algorithms to assess the true attacking and defensive strengths of teams.

These data points include:

  • Corners
  • Shot locations
  • Scoring probabilities from specific areas

Functioning similarly to xG models but with far more data points, Mercurius’s AI generates precise ratings. These are used in its mathematical models to predict the most probable match outcomes and calculate fair odds.

The AI can also forecast specific scenarios, such as whether at least one goal will be scored in the first half of a match.

Mercurius Tradr achieved a 2% return on investment over 1,436 bets.

However, a European fintech company acquired the program and made it private, meaning it is currently unavailable to the public.

This demonstrates the potential of Mercurius’s model and the competitive edge AI can offer in football betting, which the fintech company clearly recognised.

If Mercurius becomes publicly accessible again, we’ll be sure to update you.

 

1. Predictology

Predictology is a football prediction platform driven by AI and machine learning, designed to deliver detailed predictions and valuable betting insights.

With a database comprising over 350,000 football matches from around the world, Predictology continually develops and optimises football betting strategies.

The platform offers AI-powered tips to help bettors make informed decisions, alongside a suite of tools, statistical models, betting strategies, and access to real-time match data.

A standout feature of Predictology is its adaptability, catering to both beginners and experienced bettors.

Members can opt for pre-built systems or design their own strategies using the platform’s AI tools.

During our live trial, we tested the pre-designed systems, receiving daily selections via email. The results were impressive, delivering 38 points of profit with a 52% win rate.

For added convenience, Predictology provides automation options (available at an additional cost), enabling users to set up and run their systems autonomously.

Overall, Predictology excels as one of the most effective uses of AI in sports betting we have seen so far, with a strong track record of producing consistent results.

 

Benefits of AI in Betting

The benefits of AI in betting include: 

  1. Unemotional Decision Making: Unlike human punters, AI isn’t influenced by emotions or biases. It makes decisions based on facts.
  2. Potential to Become More Accurate: AI systems can process and analyse huge amounts of data, which in time could lead to more accurate predictions.
  3. Time Saving: For punters manually researching stats can be time consuming. AI does this for you so you can save time.
  4. Finding Value Bets: AI can find value bets by comparing predicted probabilities with bookie odds.

Drawbacks of AI in Betting

While AI is great, it’s not a magic ticket to success. Here are the limitations:

  1. Data Dependence: AI is only as good as the data it’s fed. Bad or incomplete data will give you bad predictions.
  2. Dynamic Nature of Betting: Sports and betting markets are unpredictable. Last minute injuries or weather changes can mess up even the best AI models.
  3. Human Factor: AI can’t account for the human side of sports, like a player’s mentality or team morale.
  4. Accessibility: Good AI tools can be expensive and not accessible to the average punter.

Tips for Using AI

If you’re going to use AI for your betting here are some tips:

  1. Choose Good Tools: Not all AI platforms are created equal. Research and choose tools with a good reputation such as the three listed above.
  2. Use AI as a Supplement: It can be a good idea to use AI as an addition to your own research rather than wholly relying on it for your bets. 
  3. Keep it Up to Date: Make sure the AI tool you use is updated regularly to reflect the latest data and trends.
  4. Bankroll Management: Even with AI there’s no guarantee of winning. Always bet responsibly and manage your bankroll sensibly.

The Future of AI in Betting

AI in betting is still in its infancy but the future looks bright. As machine learning and predictive analytics improves, AI tools will get even better and more accessible.

As AI learns and gets better it will open up new strategies that were previously unimaginable.

But as punters get access to AI tools bookies will use similar technology to set tighter odds. The playing field may not necessarily move in the punter’s direction – for long anyway. 

Conclusion

So, can AI win you at betting? The answer is yes and no. AI can give you insights, improve accuracy and save time but it’s not a magic ticket. Winning at betting still requires skill, knowledge and discipline.

Use AI as part of your overall betting strategy and you’ll make more informed decisions and find value in the markets.

Just remember, there’s no guarantees in betting – and that’s what makes it so fun!

 

 

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