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Betting Strategies Course

Betting Strategies Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course equips you with skills to interpret betting odds, calculate your edge accurately, and manage bankroll using Kelly criterion, flat staking, and proportional methods. You will evaluate performance via key risk metrics, create reliable backtests, and verify models with probability techniques. Gain expertise in developing structured, data-backed betting systems featuring practical safeguards, basic automation, and reporting for sustained decision-making success.

Elevify advantages

Develop skills

  • Optimise bankroll through Kelly criterion, staking protocols, and risk-of-ruin assessments.
  • Analyse performance metrics like ROI, drawdowns, and edge with professional standards.
  • Develop quantitative models using Poisson, Elo ratings, and logistic regression.
  • Perform data-driven backtesting with cleaned odds for realistic simulations.
  • Implement risk controls, test adjustments, and automate bet placement processes.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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