// General //

Frequently Asked Questions (FAQ)

These are several frequently asked inquiries regarding the narrative behind Predict to Kick, including the inspiration and objective behind the creation of predictgoal.com.

What made up "Predict to Kick" website?

The predictgoal.com website is made up of a few parts. The frontend uses PHP, and the backend uses MySQL. The machine learning tool utilized is MindsDB, which is available as an open-source project. The match and odds data is obtained from the local betting website. Python scripts are used to train models and predict results for upcoming matches.

What was the inspiration behind the Predict to Kick website?

The primary objectives are to acquire proficiency in the Python language through scripting, explore AI/ML from data analytics, and generate revenue through advertising.

Why football over other sports?

Football or soccer is one of the most popular sports in the world, so there is a lot of audience for such content. It feels good to see a website get a lot of visitors.

What's the reason for choosing MindsDB over other AI/ML tools?

Most ML tools are complicated because I don't have a data analyst background, so I don't understand regression models, time series, or other algorithms. I possess a MySQL database containing football and odds data, and MindsDB proves to be a straightforward tool to utilize in such circumstances.

Who conceived the domain name predictgoal.com?

I came up with a few website names: futurpredict.com, futursoccer.com, predictgoal.com, mindskick.com, mindsoccerx.com, and kickforecast.com. My coworkers ultimately weighed in, and predictgoal.com emerged victorious.

Why share a prediction that is not accurate with the public?

Whether accurate or inaccurate predictions, everything is transparent, and there is no exclusion of any sort of data from the predictgoal.com website. Even models with poor performance are archived, but they are still viewable to anyone.

Do you plan to train new models or add new leagues?

The predictgoal.com website had 13 active models during its launch. It is not optimal to add more models or leagues due to constraints on computing power at this time. However, we will phrase out bad performing models every month and bring in new ones. More leagues will only be added depending on traffic volume and demand.

Why do we have so few articles on machine learning on the Articles page?

predictgoal.com was recently launched in January 2024, and as I maintain a couple of websites, I had to devote the majority of my time to my tech blog (techsch.com).

Do you believe in soccer prediction or forecasting?

If you visit predictgoal.com often, you may be able to evaluate for yourself whether AI/ML applied data analytics to football can enhance your betting odds statistically. What I would like to share is my 10 years of soccer betting experience and the journey of using AI/ML on football data on the website.