2025-26 NFL Computer Predictions and Rankings
Cracking the NFL Betting Code
After 15-years as a trader, Andreas Koukorinis has gone on to co-found a tech startup which uses AI and machine learning to trade sports as a financial product.
From listening to this episode, you’ll soon notice that Andreas is passionate about applying rigorous trading principles to nascent markets. And you’ll also hear about the primary drivers behind his predictions on sports games…
There are many ways to use artificial intelligence and machine learning to enhance one’s sports betting and gaming results. This article may give you some ideas:
The quest to evolve neural networks through evolutionary algorithms.
Source: https://www.oreilly.com/ideas/neuroevolution-a-different-kind-of-deep-learning
The NY Jets are launching a bunch of new technologies this season that will help fans better engage with the team and keep track of player statistics.
Source: https://www.sporttechie.com/5-technologies-to-expect-from-the-ny-jets-this-season/
NFL footballs have chips in them this season, collecting data to be analyzed. However, the technology is not advanced enough to help officials.
Source: http://www.espn.com/nfl/story/_/id/20618245/data-collecting-chips-every-nfl-football-2017
Deep Learning and Neural Networks
Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.
Source: https://theconversation.com/deep-learning-and-neural-networks-77259
Also see: What is Synthetic Data?
If you’ve dug into any articles on artificial intelligence, you’ve almost certainly run into the term “neural network.” Modeled loosely on the human brain, artificial neural networks enable computers to adapt.
Source: https://techcrunch.com/2017/04/13/neural-networks-made-easy/
