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  • 😎Getting Started with SSTrader.com
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    • 🎁Step-by-Step Guide to Setting Up SSTrader AI for Automatic Predictions on Telegram Channel
  • 🍄AI-Driven Soccer Picks with SSTrader: The Power of Machine Learning in Sports Predictions
  • 🤩How is AI Transforming the Sports Betting Market? Exploiting Machine Learning
  • 🤓How to build a Sports betting models with SSTrader.com ?
  • 🤓Transforming Sports Betting with AI-Powered Football Prediction Models
  • 15 Lessons for a Super Sports Trader (SSTrader)
    • 🤓Lesson 1: Advanced Sports Betting Theory
    • 💸Lesson 2: Bankroll Management Strategies
    • 🚴Lesson 3: Sports Betting Market Dynamics
    • 🤖Lesson 4: Leveraging Betting Exchanges and Arbitrage Opportunities
    • 👽Lesson 5: Betting Psychology – Managing Biases, Emotions, and Risk Tolerance
    • 💰Bankroll Management
      • 🐞The Art of Scaling Your Bets: A Dynamic Approach to Bankroll Management
    • 😎Professional Betting as a Career
    • How AI Models Predict Football Match Results
  • 🤩Example of a Live Prediction Model Using SSTrader.com's Features
  • 😍Football Prediction Model by SSTrader.com
  • 🤓Artificial Intelligence in Sports: The Future of Accurate Betting Picks
    • How ChatSST Uses AI to Predict Football Match Outcomes
  • 🤖ChatSST AI - Your Ultimate Sports Betting Engagement Tool
    • Revolutionizing Sports Betting with AI Chatbots for Player Engagement
  • ⚽Leveraging Machine Learning for Accurate Expected Goals Predictions in Sports Betting
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  • Define your filters
  • Set filter thresholds
  • Create your live prediction model
  • Example Situation:

Example of a Live Prediction Model Using SSTrader.com's Features

In this example, we will create a live prediction model for soccer matches using SSTrader.com's features. The model will focus on metrics such as shots in the last 10 minutes, momentum shifts, and other relevant in-game statistics.

Define your filters

  1. Begin by selecting the key filters you would like to use in your model. For this example, we will use the following filters:

    • Home team shots in the last 10 minutes

    • Away team shots in the last 10 minutes

    • Dangerous attacks for both teams

    • Substitutions

    • Yellow and red cards

    • Goals scored

Set filter thresholds

  1. Establish the threshold values for each filter that will trigger an alert. For example, you could set the following thresholds:

    • Home team shots in the last 10 minutes: ≥ 4

    • Away team shots in the last 10 minutes: ≤ 1

    • Substitutions: At least one recent substitution made by the home team

    • Yellow and red cards: No recent cards for the home team, at least one recent card for the away team

    • Goals scored: Match tied or home team trailing by one goal

Create your live prediction model

Using SSTrader.com's platform, input the filters and thresholds you've defined to create your custom live prediction model.

Example: Prediction model for Over 0.5 HT

  1. Monitor and receive alerts: Once your model is set up, SSTrader.com will monitor live soccer matches and send you an alert when a game meets all the specified filter thresholds.

Example Situation:

Suppose a soccer match is tied 1-1 with 20 minutes remaining, and the home team (Team A) has been consistently applying pressure and creating scoring opportunities. In the last 10 minutes, Team A has taken 5 shots, while the away team (Team B) has only managed 1 shot. The dangerous attacks in favor of Team A show a difference of 4, and Team A recently made a substitution to bring on an attacking player. Team B has received a yellow card in the last few minutes, while Team A has not received any cards.

In this scenario, your live prediction model would trigger an alert, suggesting that this might be an opportunity to bet on Team A to score the next goal or win the match. By utilizing the in-game statistics and filters provided by SSTrader.com, you can create custom prediction models to identify valuable betting opportunities in real-time.

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Last updated 1 year ago

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